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🇪🇺 United Kingdom Permanent 24 Oct 2026

Principal Software Architect

🏢 Data Science Festival 📍 Not Specified

Principal Software Architect Salary: £80,000 - £85,000 + Benefits Location: Hybrid 1 day every other week - Milton KeynesWe are currently looking for a Principal Software Architect to join a growing, technology-led SaaS organisation that is investing heavily in its engineering capability and modern cloud platform. This is an opportunity to join a collaborative, forward-thinking engineering team where you'll have genuine influence over technical direction rather than simply delivering features.Reporting into the CTO, the Principal Software Architect will play a pivotal role in shaping software architecture, establishing engineering best practice, and mentoring other engineers across the business. This is a hands on technical leadership position where you'll work closely with Product, Engineering and business stakeholders to solve complex technical challenges whilst ensuring the platform remains scalable, secure and fit for future growth.If you enjoy balancing strategic thinking with hands on engineering, influencing technical decisions and helping teams deliver high quality software, this Principal Software Engineer opportunity offers the chance to make a significant impact within a business where technology is central to its success. The Opportunity As the Principal Software Architect, you'll provide technical leadership across multiple projects while helping to shape the future direction of the engineering function.Key responsibilities include:Designing and delivering scalable, secure and maintainable software solutions.Leading architectural decisions that balance innovation, performance and long-term sustainability.Driving engineering best practice, coding standards and software quality across development teams.Working closely with Product Managers and stakeholders to translate business requirements into robust technical solutions.Mentoring and coaching engineers, helping to raise technical capability across the wider team.Championing modern software engineering practices, automation and continuous improvement.Exploring and adopting AI-powered development tools where they add measurable value.Supporting the delivery of reliable, cloud native SaaS products within a security focused environment.This role offers the opportunity to influence both technology strategy and engineering culture while remaining technically hands on. What's in it for you? £80,000 - £85,000 salary depending on experience.Hybrid working.Comprehensive healthcare and wellbeing package.Life assurance.Holiday trading scheme.Retail discounts.Gym and fitness benefits.Ongoing learning and professional development.The opportunity to influence architecture, technology direction and engineering standards.A collaborative engineering culture where technical excellence is genuinely valued. Skills and Experience Extensive experience designing and delivering high quality software within modern engineering environments.Strong commercial experience with C#, ASP.NET, Azure, React and REST APIs.Experience designing scalable, secure and maintainable software architectures.Strong understanding of cloud native application development and Azure services.Experience influencing technical strategy and architectural decision making.Knowledge of secure software development practices within SaaS or regulated environments.Experience mentoring engineers and promoting engineering best practice.Excellent communication skills with the ability to work effectively with both technical and non technical stakeholders.An interest in using AI tools to improve software engineering productivity and delivery.

🇪🇺 United Kingdom Permanent 24 Oct 2026

Senior UI Test Automation Engineer - Playwright & TypeScript

🏢 Compunnel, Inc. 📍 Wrexham

We are seeking a Senior Automation Engineer to design, develop, and maintain scalable test automation solutions for modern web applications. The role focuses on building automation frameworks using Playwright and TypeScript, and integrating automated testing into CI/CD pipelines.The ideal candidate has extensive UI test automation experience, strong TS expertise, and a passion for delivering reliable, maintainable, and scalable automation across cross-functional teams.

🇪🇺 United Kingdom Permanent 24 Oct 2026

Remote Legal AI Engineer - Frontline Workflow Innovator

🏢 Epiq Systems, Inc. 📍 Not Specified

Epiq Advisory for Law Firms is seeking a Forward Deployed Legal Engineer to design and implement AI-enabled workflows for law firm clients. You will translate legal needs into practical agent-based solutions, work with large language models, and collaborate with the AI Enablement and technology teams.The role requires hands-on experience with AI agents, LLMs, and workflow orchestration in professional services, with a focus on secure, governed deployments and measurable client value.

🇪🇺 United Kingdom Permanent 24 Oct 2026

Senior Network Architect - Enterprise Security & Cloud

🏢 CDW LLC. 📍 Peterborough

CDW is seeking a Senior Network Architect to shape, design, and lead complex network and security solutions for diverse enterprise customers. You will translate business needs into high-level architectures and drive solution strategy across multi-vendor environments, from discovery through proposal and handover to delivery.You'll own solution architecture for opportunities, lead discovery, design and proposals, align technology to outcomes and KPIs, and collaborate with services to ensure

🇪🇺 United Kingdom Permanent 24 Oct 2026

Senior Automation Engineer - Hybrid (Python, Terraform)

🏢 Nice-0a1ef543 📍 Not Specified

NiCE is seeking a Senior Software Engineer who loves solving infrastructure challenges through software engineering and automation. You will design, develop, and maintain scalable automation frameworks that provision cloud infrastructure, configuration management, and operational processes using Python, Jinja2, Terraform, Puppet, and PowerShell.This highly technical, coding-focused role emphasizes clean, testable code, reusable components, and automation-first delivery across cloud and hybrid

🇪🇺 United Kingdom Permanent 24 Oct 2026

SAP Dual Run & Cutover Lead for S/4HANA Transformation

🏢 Matchtech 📍 Not Specified

Matchtech is seeking a Technical Dual Run & Cutover Project Manager to support a global SAP S/4HANA transformation within a complex IT environment. This contract role will coordinate technology delivery required for SAP ECC and SAP S/4HANA to operate in parallel, protecting business continuity, data integrity, financial control and service stability across deployment waves.You will lead end-to-end delivery, develop cutover plans, coordinate migrations, and manage readiness across systems and

🇪🇺 United Kingdom Permanent 24 Oct 2026

Software Engineer, CDN Configuration Group

🏢 Webhosting 📍 Not Specified

Software Engineer, CDN Configuration Group Cloudflare United States, London, United Kingdom Job Description About Us At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world's largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through

🇪🇺 United Kingdom Permanent 24 Oct 2026

Lead AI Engineer - VP

🏢 Citigroup Inc. 📍 Not Specified

Citi is looking for a Lead AI Engineer to drive the design, development, and delivery of advanced AI-powered applications within a high-impact global technology team. In this senior role, you will shape the technical direction of AI initiatives, mentor engineers, and build intelligent systems that directly influence how Citi leverages data and automation at scale. Responsibilities Architect and develop AI-driven applications and data pipelines using Python, ensuring solutions are scalable, maintainable, and aligned with the broader technology strategy. Lead the design and implementation of Retrieval-Augmented Generation (RAG) systems and agent orchestration frameworks to deliver intelligent, context-aware solutions. Partner with technology and business stakeholders across multiple teams to identify system enhancements and translate requirements into robust technical implementations. Define and enforce coding standards, testing practices, and implementation processes to elevate quality and consistency across the engineering team. Evaluate complex business and system challenges, applying deep technical expertise to develop innovative and effective solutions. Coach and guide mid-level engineers and analysts, providing technical direction and allocating work to support team growth and project delivery. Identify and manage technical risks within the development lifecycle, ensuring decisions uphold security, compliance, and platform integrity. Required Qualifications & Skills 6-10 years of experience in software or application development, with a track record of delivering complex technical projects from design through to production. Hands on proficiency in Python for application development, data ingestion, and ETL processes. Practical experience building RAG pipelines and working with agent orchestration frameworks such as ADK, LangGraph, or LangChain. Advanced SQL skills with the ability to design and optimize queries across large scale datasets. Solid understanding of Transformer architecture and its application within production AI systems. Demonstrated ability to lead technical teams, manage competing priorities, and deliver results in a fast moving environment. Clear and effective communicator, able to convey complex technical concepts to both technical and non technical audiences. Beneficial Skills & Qualifications Experience with Llama Index for data ingestion and ETL workflows within Python based environments. Familiarity with graph databases such as Neo4j or equivalent, and experience applying graph based approaches to data modelling. Exposure to GraphRAG techniques for enhancing retrieval and reasoning within knowledge graph powered AI systems. Knowledge of Model Context Protocol (MCP) and its application in AI agent communication and integration. Master's degree in computer science, Engineering, or a related field. What We Offer At Citi, you will work at the intersection of financial services and cutting edge AI technology, contributing to projects that operate at genuine global scale. This is an opportunity to take technical ownership, grow your leadership capability, and make a measurable impact within a collaborative, performance focused engineering environment. Hybrid working arrangement with 3 days in the office and 2 days working remotely, giving you flexibility while staying connected to your team. Access to continuous learning and development programs to keep your technical skills current and expand your leadership capabilities. The opportunity to work on complex, large scale AI systems that directly shape how one of the world's leading financial institutions operates. A collaborative engineering culture where senior contributors have genuine influence over technical direction and architectural decisions. Competitive financial wellbeing support, including compensation and benefits packages designed for experienced technology professionals. Wellbeing support and work life balance resources available to all employees globally. Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi. View Citi's EEO Policy Statement and the Know Your Rights poster.

🇪🇺 United Kingdom Permanent 24 Oct 2026

AppSheet Developer (IBM Maximo Cloud Migration)

🏢 FWA Consultancy 📍 Not Specified

London, UK & Hybrid Day Rate: Upon Application Project Overview FWA is supporting a major UK Utilities organisation operating across Kent, Sussex, Surrey, Hampshire, and Berkshire in the migration of its IBM Maximo Enterprise Asset Management (EAM) platform from an on-premise environment to a cloud-based solution. The programme includes data migration, process transformation, application modernisation, integrations, and cloud adoption, with Oracle serving as the underlying database platform. We are seeking experienced consultants and specialists to join the programme on a 12 contract, commencing August 2026, with the potential for extension. Role Overview We are looking for AppSheet Developers to develop and enhance low-code business applications that support operational workflows, field services, and data capture activities during and following the Maximo cloud migration programme. These applications will integrate with enterprise systems and help improve workforce productivity, data quality, and operational efficiency. Key Responsibilities Develop and maintain applications using Google AppSheet. Translate business requirements into working solutions. Configure workflows, forms, dashboards, and automations. Integrate AppSheet applications with Google Workspace services and enterprise systems. Support asset management and operational process digitisation. Conduct testing and user support activities. Troubleshoot and resolve application issues. Document solutions and provide user training where required. Mandatory Skills Proven AppSheet development experience. Experience building low-code/no-code business applications. Understanding of workflow automation concepts. Experience integrating applications with backend data sources. Strong requirements gathering and stakeholder engagement skills. Preferred Skills Experience supporting asset management operations. Knowledge of IBM Maximo environments. Familiarity with Oracle data structures. Experience working within regulated industries. Working Arrangement Contract Duration:12 months Start Date:ASAP (August 2026) Location:London (South) Working Pattern:Hybrid Office Attendance:2-3 times a week Sector:Energy & Utilities Right to Work:UK work authorisation required

🇪🇺 United Kingdom Permanent 24 Oct 2026

HR Technology Lead (12-14 month maternity cover)

🏢 CLARKSON PLC 📍 Not Specified

HR Technology Lead (12-14 month maternity cover) Job ID: 5425 Department: Human Resources Category: Human Resources Location: London, ENG, GB Employment Type: Fixed Term Contract Description: Company Overview Offering a complete ecosystem of maritime services, including broking, finance, port services and research, Clarksons is at the heart of global shipping. Our unrivalled reach, expertise, and depth of experience, combined with leading research, enables us to partner with clients across every sector to meet the demands of the world's rapidly evolving maritime, offshore, trade and energy markets. Building on our unique heritage and harnessing our insights to see further, faster, we work with our clients and communities to create strategies that have a positive impact on the industry and the world around us. Dedicated to excellence, it's our people that drive success for our clients. To understand more including day-to-day life at Clarksons, visit us at Role Summary We are seeking an experienced HRIS professional, with strong SAP SuccessFactors expertise to provide maternity cover for a 14-month fixed-term contract. This role will lead the HRIS function, manage a team of HR systems professionals, and oversee the delivery of key HR technology projects. Over the duration of this contract, our goal is to bring SuccessFactors to the next level, requiring the delivery of a number of projects and ongoing technology enhancements. The successful candidate will be responsible for ensuring the effective operation, optimisation, and continuous improvement of the HR systems landscape, while partnering with HR, IT, Payroll, and business stakeholders to deliver strategic transformation initiatives and enhance the employee experience. What you'll be doing Key Responsibilities HRIS Leadership & Team Management Lead, coach, and develop the HRIS team of two, ensuring high levels of performance and engagement. Manage team priorities, resource planning, workload allocation, and delivery against agreed objectives. Monitor effective governance, controls, and service standards across HR systems. Act as the senior escalation point for complex HR systems issues. HR Systems Management Own and manage the SAP SuccessFactors platform, ensuring system stability, integrity, security, and compliance. Oversee system configuration, testing, releases, upgrades, and change management activities. Ensure data quality and effective HR master data governance. Manage integrations between SuccessFactors and other business systems, including payroll, finance, company secretariat, recruitment, and learning platforms. Drive system optimisation and identify opportunities for automation and process improvement. Project Leadership Lead the delivery of HR technology projects and enhancements from initiation through to implementation. Work with stakeholders to define requirements, project plans, business cases, and success measures. Manage third-party vendors, implementation partners, and external consultants as required. Ensure projects are delivered on time, within budget, and in line with business objectives. Support wider people transformation programmes and digital HR initiatives. Stakeholder Management Partner with senior HR leaders, business leaders, IT, Payroll, Finance, and external suppliers. Translate business requirements into practical HR technology solutions. Act as a trusted advisor on HR systems strategy and best practice. Compliance & Risk Management Ensure compliance with GDPR, data protection regulations, and internal policies. Maintain appropriate controls around access management, data security, and system governance. Support internal and external audit requirements relating to HR systems. Other Undertake additional responsibilities as required in order to meet the needs of the business. What we're looking for Essential Significant experience managing SAP SuccessFactors in a complex organisation. Previous people management experience, including leading HRIS teams. Proven track record of delivering HR systems projects and transformation programmes. Strong knowledge of HR processes, employee lifecycle management, and HR technology. Experience managing system integrations, testing, release management, and change control. Excellent stakeholder management and communication skills. Strong analytical and problem-solving capability. Desirable Experience across multiple SuccessFactors modules, including Employee Central, Smart Recruiters, Onboarding, Learning. EC Payroll experience would be beneficial. Experience working in an international or matrix organisation. Knowledge of HR data analytics and reporting tools. Key Competencies Strategic Thinking Leadership and Team Development Project Management Stakeholder Management Continuous Improvement Data and Analytical Insight Change Management Clarksons Values We welcome applications from candidates who share our Company Values and key attributes, as follows: Integrity and respect - acting thoughtfully and ethically to do the right thing in accordance with Conduct Rules, and to promote and foster a respectful work environment for all. Drive - self-motivation and the desire and commitment to succeed, deliver excellence and make positive change. Relationship building - excellent communicator to effectively build strong, long-lasting relationships with colleagues, clients and others. Collaboration - working well with others across diverse backgrounds to share information, develop skills and deliver results. Resilience - persisting and adapting to changing or difficult situations and adopting a positive and focused approach. Smart - problem-solving and analytical abilities, with a curious and inquisitive mind, and an openness to new ideas

🇪🇺 United Kingdom Permanent 24 Oct 2026

Lead Software Engineer - Python or Java with AI

🏢 JPMorgan Chase & Co. 📍 Not Specified

Job Summary: As a Lead Software Engineer - Python or Java with AI at JPMorgan Chase you will help design and build the core systems for our source code intelligence platform. You will work on distributed indexing and search infrastructure, multi-language semantic and AST analysis, and interfaces that enable AI agents to query the platform for standards-compliant code. In this hands-on technical lead role, you will write code daily across our JVM and systems-language stack, set technical direction for a small team, and directly influence how a regulated financial enterprise scales software development with AI. You will collaborate with talented colleagues and contribute to a culture of excellence and innovation. Job Responsibilities: Lead the design and development of backend systems using Python or Java Build and enhance distributed indexing and search infrastructure for source code intelligence Develop multi-language semantic and AST analysis capabilities Create interfaces for AI agents to query and validate code Apply AI techniques to enable large-scale code search, vulnerability discovery, and SDLC automation Streamline engineering processes to improve productivity and quality Collaborate with cross-functional teams to deliver robust solutions Ensure adherence to best practices in industrial hygiene and software engineering Mentor and guide junior engineers Evaluate and integrate emerging technologies, including Claude AI capabilities Drive continuous improvement in development workflows and foster an inclusive and innovative team culture Required Qualifications, Capabilities, and Skills: Proficiency in Python or Java for backend development Strong understanding of AI concepts and practical application Experience with distributed systems architecture Ability to design and optimize data models and data structures Demonstrated skill in streamlining engineering processes Knowledge of industrial hygiene principles in software environments Experience integrating Claude AI or similar advanced AI tools Effective collaboration and communication skills Commitment to inclusive and diverse team practices Ability to mentor and support team members Strong problem-solving and analytical abilities Preferred Qualifications, Capabilities, and Skills: Experience leading software engineering teams Familiarity with cloud platforms and microservices Advanced knowledge of backend frameworks and tools Experience with real-time data processing and streaming Background in security engineering, distributed systems, or program analysis Exposure to DevOps practices and automation Passion for continuous learning and innovation

🇪🇺 United Kingdom Permanent 24 Oct 2026

Senior Data Scientist - Business Operations

🏢 Deliveroo 📍 Not Specified

About Deliveroo Our mission is to transform the way people shop and eat, bringing the neighbourhood to your door by connecting consumers, restaurants, shops and riders. We are a technology-driven company at the forefront of one of the most rapidly expanding industries in the world: a complex, always-on, three-sided marketplace that impacts millions of people every day.Deliveroo is now part of DoorDash, bringing together teams with even greater reach, scale, and ambition. Depending on your role, you may collaborate with teammates, systems, and leaders across DoorDash and Wolt. Together, we're unlocking new possibilities as one global team. The Team BizOps is the team that keeps its finger on the pulse of business performance: continuously, rigorously, and across multiple dimensions at once. We turn raw operational and financial data into actionable intelligence, surfacing what is happening, why it is happening, and what to expect next, for the operators, executives, and functional teams who run the business day to day.We are not a reporting function that produces outputs on request. We work continuously, proactively watching, delivering, and questioning whether the signal is real, acting as "first responders" to surprising deviations from expectation and using what we learn to drive faster, better decision making for the business at large.Our work spans the full stack of analytics: from the warehouse models that make metrics trustworthy, to the monitoring systems that catch problems early, to the reports and dashboards that make performance visible, to the deep dive investigations that explain what the numbers mean and what we should do about it.We anchor our analysis to the right reference points: how performance compares to plan, to prior periods, and to what we'd expect, and we bring causal rigour when the business needs to know whether an action actually worked.The culture within the team is informal, fast-paced and entrepreneurial. Given the growth of the business and the level of senior stakeholder exposure, progression in the team can be fast. The Role Deliveroo is hiring a Senior Data Scientist to join BizOps, based in our London HQ (hybrid, minimum three days per week in the office).This role is largely project-based: starting from a strategic or performance question, you'll combine data, business context, and structured problem solving to provide the insights that drive decision-making at a global level with senior stakeholders. You will own delivery end-to-end, from the messy, ambiguous question to a rigorous, trustworthy, and actionable answer.You'll be equally comfortable building the systems that make performance visible and going deep on the investigations that explain it. One week you might diagnose why a key market has moved away from plan; the next, identify the drivers behind a change in customer or operational performance; the next, build monitoring that helps teams spot and understand emerging issues earlier.Success in this role requires building effective working relationships across Deliveroo, particularly with international markets, as well as the Data Science, Operations, Commercial, and Finance teams. What You'll Be Doing Answer the questions that matter, continuously. Maintain a rigorous view on business performance: Are we on track against our goals? What's changed? How does this compare with what we expected? What should we expect next? Then go further: Why is it happening, what matters most, and what should we do about it?"Own delivery end-to-end. Independently identify, define, and deliver impactful work aligned with business goals, operating with minimal guidance to ship fast, high-quality solutions.Navigate ambiguity. Deconstruct broad, ambiguous problem spaces into structured analytical roadmaps, and understand how your work intersects with adjacent systems and teams.Build for scale, not one-offs. Build the pipelines, models, dashboards, monitoring, and investigative tooling that make performance visible and reliable. Automate wherever possible; redoing analyses by hand is slow and error prone.Measure impact with discipline. Design measurement strategies from simple A/B tests to quasi-experimental designs (synthetic control, difference in differences, event studies) when trials aren't feasible, always with conservative, assumption explicit language.Be a first responder. Surface deviations before they become escalations, and be just as willing to give the confident "this is noise, no action needed" as the alarm.Communicate to influence. Translate complex findings into clear, simple, actionable recommendations for both technical and non-technical audiences that shape roadmaps and decisions.Raise the bar. Contribute to the broader Analytics community, improve shared approaches and best practices, and help build data literacy across the business. What You'll Need to Thrive Our ideal candidate brings strong expertise in some of these areas and the curiosity to grow in others:Experience in an analytical or data science role, such as data analytics, data science, forecasting, planning, strategy analytics, or a similar discipline. Experience in logistics, e-commerce, marketplaces, or another fast-moving, customer focused business is useful but not essential.Proficiency with SQL and a scripting language such as Python or R, alongside experience with BI or visualisation tooling such as Looker, Tableau, or similar.Comfortable using modern AI assisted tools to work efficiently while maintaining high standards of accuracy and reproducibility.A pragmatic approach to problem solving: you can balance analytical rigour with speed, adapt your approach to the importance of the decision, and focus effort where it will have the greatest impact.Effective problem solving: you can take an ambiguous question, identify the underlying problem or decision, develop hypotheses, and use data and business context to reach a clear point of view.Experience with experimentation and/or causal inference is a strong plus: the ability to unpick insights and steer strategic decisions.Excellent communication skills, in person, in writing, and in code, with the ability to translate business needs into analytical problems and complex findings into simple recommendations.Driven, hard-working, and agile. BizOps sits at the centre of a fast growing business; we move quickly to scale at pace.London-based, with a minimum of three days per week in the office. Why Join Us? At Deliveroo, you'll do work that matters, solving real world problems in a three-sided marketplace that's constantly evolving.Solve meaningful problems at real scale: work on a complex, always on marketplace that impacts millions every day.See your impact, fast: ship, test, and improve ideas quickly in a low hierarchy, high ownership environment.Grow through challenge and ownership: take on big, ambiguous problems and accelerate your career with strong support.A culture built for builders: high standards, collaboration, flexible working, and continuous learning.Share in the success you help create: competitive salary and equity, so you're rewarded for the impact you make.We aim to create a fair process that lets your skills shine; our interview typically includes 3 to 4 stages. Workplace & Benefits Benefits differ by country, but we offer many benefits across areas including healthcare, well being, parental leave, pensions, and generous annual leave allowances, including time off to support a charitable cause of your choice.healthcarewell beingparental leavepensionsgenerous annual leave allowances, including time off to support a charitable cause of your choice.Benefits are country specific; please ask your recruiter for more information. Diversity, Equity and Inclusion At Deliveroo, we believe a great workplace is one that represents the world we live in and how beautifully diverse it can be. That means we have no judgement when it comes to any one of the things that make you who you are: your gender, race, sexuality, religion, or a secret aversion to coriander. All you need is a passion for (most) food and a desire to be part of one of the fastest growing businesses in a rapidly growing industry.We are committed to diversity, equity and inclusion in all aspects of our hiring process. If you have a disability or long term health condition, or require any reasonable adjustments to apply or fairly participate in the interview process, please let us know; we'll make every effort to ensure you have an equitable opportunity to succeed.

🇪🇺 United Kingdom Permanent 24 Oct 2026

Senior Funds Data Architect & Strategy Lead

🏢 Citi 📍 Not Specified

Citi Belfast seeks a Lead Funds Data Architect to bridge business needs and technical solutions within the Funds domain. You will lead data strategy, governance, lineage, modeling, and architecture for Fund accounting, administration, ETFs, IBOR, and ABOR, ensuring compliant, scalable data platforms.Responsibilities include shaping data models, overseeing data governance, and enabling regulatory reporting and client statements across the Funds lifecycle.

🇪🇺 United Kingdom Permanent 24 Oct 2026

Lead Funds Data Architect

🏢 Citi 📍 Not Specified

The Lead Funds Data Architect will be a pivotal member of our team, responsible for bridging the gap between business needs and technical solutions within the Funds domain.This individual will lead the design, development, and implementation of data strategies and architectures that support Fund accounting, Fund Administration, ETFs, IBOR (Investment Book of Record), ABOR (Accounting Book of Record), and various regulatory and client reporting functions.A profound understanding of data governance, data lineage, data modeling, and core data concepts specific to the investment and funds industry is paramount. What you'll do Data Strategy & Vision: Define and articulate the data strategy and architectural vision for the Funds business, ensuring alignment with enterprise data initiatives and regulatory requirements.Domain Expertise Application: Apply deep knowledge of Fund accounting, Fund Administration processes, ETF Operations, IBOR, and ABOR to design highly efficient and accurate data models and data flows.Data Architecture Design: Architect robust, scalable, and secure data solutions, including logical and physical data models, data warehousing, data lakes, and data integration patterns tailored for complex financial data.Data Governance & Quality: Champion and implement best practices for data governance, ensuring high data quality, integrity,and adherence to internal policies and external regulations across all Funds data.Data Lineage & Metadata Management: Establish and maintain comprehensive data lineage documentation and metadata management strategies to ensure transparency, auditability, and understanding of critical data assets within the Funds business.Data Modeling Leadership: Lead data modeling efforts, developing conceptual, logical, and physical data models that support current and future business needs, with a strong focus on reusability and extensibility for Funds data.Analysis & Requirements Gathering: Conduct detailed data analysis, gather business requirements from stakeholders in Fund accounting, operations, and reporting, and translate them into precise technical specifications.Solution Implementation Support: Collaborate closely with development and engineering teams during the implementation phase, providing architectural oversight and resolving data-related technical challenges.Reporting & Analytics Enablement: Design data structures and access patterns that enable efficient and accurate generation of various internal and external reports, including regulatory filings and client statements.Technology Evaluation: Evaluate and recommend new data technologies, tools, and methodologies that enhance data capabilities and efficiency within the Funds business. What we'll need from you Experience: 12+ years of experience in data analysis, data architecture, or data warehousing roles.5+ years of direct experience within the financial services industry, specifically with deep expertise in the Funds business (e.g., asset management, mutual funds, hedge funds).Proven experience with Fund accounting, Fund Administration, ETFs, IBOR, ABOR, and financial reporting. Technical Skills: Expertise in data modeling tools and techniques (e.g., ER/Studio, Erwin).Strong SQL and database proficiency (SQL Server, Oracle, Snowflake, Databricks).Experience with data integration (ETL/ELT, APIs).Familiarity with cloud data platforms (AWS, Azure, GCP) and big data (Hadoop, Spark, Kafka) a plus. Domain Knowledge: Exceptional understanding of the Funds business lifecycle, financial instruments, market data, and investment operations.In-depth knowledge of regulatory reporting (SEC, FCA, UCITS) and data implications.Core Data Concepts: Demonstrated experience in Data Governance, Data Lineage, and Data Modeling (conceptual, logical, physical).Comprehensive understanding of Master Data Management, Reference Data, Transactional Data, and Metadata. Soft Skills: Outstanding analytical, problem-solving, and communication skills.Strong leadership, mentoring, and stakeholder engagement abilities.Proactive and adaptable in a dynamic environment. What we can offer you We work hard to have a positive financial and social impact on the communities we serve. In turn, we put our employees first and provide the best-in-class benefits they need to be well, live well and save well.By joining Citi Belfast, you will not only be part of a business casual workplace with a hybrid working model (up to 2 days working at home per week), but also receive a competitive base salary (which is annually reviewed), and enjoy a whole host of additional benefits such as:Generous holiday allowance starting at 27 days plus bank holidays; increasing with tenureA discretional annual performance related bonusPrivate medical insurance packages to suit your personal circumstancesEmployee Assistance ProgramPension PlanPaid Parental LeaveSpecial discounts for employees, family, and friendsAccess to an array of learning and development resourcesAlongside these benefits Citi is committed to ensuring our workplace is where everyone feels comfortable coming to work as their whole self every day. We want the best talent around the world to be energized to join us, motivated to stay, and empowered to thrive.Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law.If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi.View Citi's EEO Policy Statement and the Know Your Rights poster.

🇪🇺 United Kingdom Permanent 24 Oct 2026

Insurance Analytics Engineer - Underwriting Insights

🏢 The Fidelis Partnership 📍 Not Specified

The Fidelis Partnership is seeking an Analytics Engineer to join its Actuarial and Underwriting Analytics team. You will own and develop a forward-thinking analytics suite to elevate underwriting and actuarial work and help answer Fidelis' most challenging business questions.You will collaborate with the Data team as the company implements a new data architecture, delivering data-driven insights and visual narratives that guide pricing and risk management decisions.

🇪🇺 United Kingdom Permanent 24 Oct 2026

Principal Systems Engineer

🏢 Prattwhitney 📍 Warminster

Date Posted: 2026-09-22 Country: United Kingdom Location: Warminster, Wiltshire Position Role Type: Hybrid Principal Systems EngineerBe at the forefront of transforming British Army training. About us At OMNIA Training, we've brought together some of the UK's most innovative defence training organisations under one powerful mission: to transform the British Army's training system and create the best-trained Army in the world. OMNIA are redefining the British Army's collective training. To do that, we are looking for the best and brightest minds from across the UK. We are backed by British innovation and powered by world-class experts, like you. OMNIA is at the heart of the UK's bold Land Industrial Strategy. The role This is more than a job - it's a mission. You will be part of a high-impact, collaborative environment, where we expect everyone to live the values and standards of the British Army. Every person in our team plays a critical role in delivering OMNIA's vision; designing, delivering, and transforming collective training so the British Army is ready to fight and win. You'll work in a matrix organisation and report operationally through OMNIA Training and functionally through the Systems Solutions Lead. Ultimately, you'll work for the British Army, championing innovation, and helping shape the future of military collective training. Key Responsibilities Working with a multidisciplined team to define work packages and technical requirements across multiple complex services and capabilities to meet required technical and operational specificationsLead definition of requirements and producing designsCarries out agreed operational procedures of a routine nature, logging, delegating and quality assuringAct as the technical liaison between engineering teams and supply chain partners, ensuring technical specifications, standards, and integration requirements are clearly communicated and understoodMaintains relevant records and documentation, leads auditsIndividually contribute to the execution and delivery of key work packagesLead and undertaking activities associated with Systems Engineering, including product development and qualificationWork with the OMNIA Training team to assist in the review, analysis, implementation and delivery of advanced training environments and conceptsContributes to maintenance, installation and problem resolutionContributes to and helps improve system operationDeputise for the Systems Solutions LeadProvide guidance and mentoring to more junior engineersBe 'Responsible for championing and fostering a culture of Environmental, Health, and Safety (EHS) compliance and continuous improvement'Any other duties required to meet the needs of the programme Who we are looking for We're after individuals who want to serve. You'll have a mission focus, and the enthusiasm and drive to 'get things done'. You'll want to work in collaboration with other defence training organisations, and the British Army. You won't let bureaucracy get in the way of what needs to be done, you'll learn lessons and share these lessons across the team. You won't necessarily have a military background, but you'll understand what it means to serve and to put the mission first. The OMNIA Principal Systems Engineer will be part of the team responsible for the delivery of complex bespoke training systems capabilities, technology and solutions for the Army Collective Training Service (ACTS). Responsible to the Systems Solutions Lead, this position will be critical to the successful technology and interoperability of the entire solution. The position is suited to a Training Technologist or Systems Engineer who has the appetite to develop further into Systems Engineering or Training Solution Systems and thrives on the challenge of tackling requirements definition, design, integration and delivery of a wide range of solutions across a broad spectrum of technologies, including simulation systems and synthetic environments. This will be done following the System Engineering process through the lifecycles through waterfall and agile methodologies. A key part of the role will be liaising across third parties and subcontractors to ensure their technical deliveries are aligned through the supply chain. This position requires a customer first mindset, strong stakeholder engagement skills, and the ability work in a multidisciplinary engineering team in a complex and evolving environment. Essential Skills and Experience Working in multi-disciplinary teams within a system engineering environmentKnowledge of Systems Engineering Process (ISO 15288)Experience of writing system requirements and producing design documentationKnowledge in the System Engineering V-model lifecycles and processesWriting technical specifications and Interface Control Documents (ICDs)Systems Engineering technical standards, principles, theories, concepts and techniquesExperience with the Atlassian Suite, working with Jira, ConfluenceEngineering background with a degree in a relevant discipline or equivalent professional experienceExperience leading a team within a complex environmentAbility to translate operational and technical requirements into practical system architectures, designs and implementation plansExperience supporting technical deployments within structured delivery environments (e.g. Agile or SAFe)Experience supporting system testing, validation, and troubleshooting during deployment and operational phasesExperience of Cloud Service and hosting with AWS or AzureHolds, or is eligible to obtain, UK Security Clearance (SC) Desirable Skills and Experience Experience of writing training system requirements and designs across the Live Virtual and Constructive environmentsEngineering, (mechanical, electrical, software, systems)Awareness of TOGAF and/or NAFv4Experience delivering multi-system integration projects within defence, government, or highly regulated environmentsWorking knowledge of Training Systems standards and frameworks (DIS/HLA/SISO)Experience implementing and configuring training solution technologies across Live, Virtual, and Constructive (LVC) environmentsExperience working with external suppliers and vendors to deliver integrated technical solutions, including reviewing technical documentation to ensure alignment with system/architecture requirements and standardsExperience supporting procurement or supply chain teams by translating technical specifications and integration requirementsUnderstanding of interoperability standards or integration frameworks used within enterprise or defence systemsExperience or knowledge of Combined Arms Virtual Simulations (CAVS) or Tactical Engagement Systems (TES) What we offer Be Part of a Groundbreaking Mission Join the UK's most advanced defence training alliance, where industry experts converge to push boundaries and deliver excellence.A Culture Built on Collaboration Work in an inclusive, high-performing team that celebrates ideas, supports growth, and is laser-focused on delivering results.Team dynamics You will be part of a team that works together, across multiple organisations united in one mission.Work Across Borders, United in Purpose Operate across organisations with one shared goal - improving capability across all domains.Drive Innovation Your voice matters. We champion new ideas, welcome change, and believe in continuous improvement with a growth mind-set.Shape the Future Play a crucial role in a long-term, future-facing programme with real-world impact on national defence.Career Growth & Benefits Enjoy a strong benefits package, ongoing development opportunities, and clear pathways to progress within a trusted defence industry partner.OMNIA Training and its partners are proud to be an equal opportunity employer. We welcome applicants of all backgrounds and identities - what matters is your passion, your expertise, and your dedication to the mission.This position is classified as: Hybrid: Employees who are working in Hybrid roles will work regularly both onsite and offsite. Ratio of time working onsite will be determined in partnership with your leader.RTX adheres to the principles of equal employment.All qualified applications will be given careful consideration without regard to ethnicity, color, religion, gender, sexual orientation or identity, national origin, age, disability, protected veteran status or any other characteristic protected by law.

🇪🇺 United Kingdom Permanent 24 Oct 2026

Computer Vision Engineer

🏢 C4S Search Ltd 📍 Not Specified

Job Title Senior AI Engineer - Machine Learning (Computer Vision) Location North London - hybrid Salary £650 per day outside IR35 Length 6 months About the Business Our client is a leading digital commerce organisation undergoing a significant technology transformation. This is an exciting opportunity to join a business at the forefront of AI adoption, helping to build scalable solutions that enhance customer experiences, improve operational efficiency, and drive future growth. The Senior AI Engineer - Machine Learning (Computer Vision) Opportunity Design, develop and deploy AI-powered solutions using deep learning, computer vision, large language models (LLMs), and generative AI technologies. Build and maintain scalable data pipelines, ensuring high standards of data quality, governance, and reliability. Develop multimodal AI models that combine visual, textual, and customer data to deliver enhanced automation and personalisation capabilities. Apply MLOps best practices across the AI lifecycle, including CI/CD, monitoring, model deployment, testing, and performance optimisation. Collaborate with product, engineering, and cloud teams to create secure, scalable, and responsible AI solutions while supporting ongoing innovation. Your Key Skills Strong commercial experience with Python and machine learning frameworks such as PyTorch, TensorFlow, and Hugging Face. Proven expertise developing and deploying computer vision and deep learning solutions in production environments. Experience fine-tuning and optimising pre-trained models for specific business applications. Hands-on knowledge of Generative AI, Large Language Models (LLMs), Prompt Engineering, Retrieval Augmented Generation (RAG), and model fine-tuning techniques. Understanding of modern software engineering practices including Git, CI/CD, Containerisation, and MLOps methodologies. Experience delivering end-to-end machine learning projects from concept through to production deployment. Strong understanding of AI evaluation frameworks, model testing, benchmarking, and performance measurement. Knowledge of responsible and ethical AI principles, including bias detection and risk mitigation. Excellent stakeholder management and communication skills, with the ability to work across multidisciplinary teams. Self-motivated individual with a passion for learning, innovation, and continuous improvement.

🇪🇺 United Kingdom Permanent 24 Oct 2026

Senior Python Engineer: MongoDB & Multi-Cloud Deployments

🏢 Meetborderless 📍 Not Specified

Canonical is seeking an experienced Senior Software Engineer to help build a fully managed MongoDB solution using Python and Juju. You will deploy and operate MongoDB clusters across multi cloud and on prem environments and contribute to a high impact, open source oriented product.You are a proficient Python programmer with MongoDB operations experience, and you understand modern deployment automation or Linux administration.

🇪🇺 United Kingdom Permanent 24 Oct 2026

Senior Industrial Vision & Edge ML Engineer

🏢 Mindtrace.ai 📍 Manchester

Mindtrace is seeking a Senior Machine Learning Engineer in Manchester to expand hardware and sensing for its industrial inspection products. You will prototype, validate, and productize new hardware approaches across cameras, sensors, optics, lighting, and edge compute.The role focuses on moving beyond 2D inspection toward richer sensing, edge deployments, and integrator-ready platforms. You will turn ambitious ideas into repeatable systems tested outside the lab.

🇪🇺 United Kingdom Permanent 24 Oct 2026

AI Security Operations (SecOps) Specialist

🏢 AstraZeneca GmbH 📍 Macclesfield

Are you ready to secure and scale an enterprise Agentic AI ecosystem that protects data, accelerates science and ultimately helps deliver life-changing medicines? Do you want to transform "AI for Cyber" and "Cyber for AI" ideas into dependable, high-impact services that safeguard our people and platforms?In this hands-on technical leadership role, you will sit at the intersection of security operations, agent engineering, AI platform security and intelligent automation. You will operate the AI security control plane, harden agentic systems across their lifecycle, and establish monitoring and response that makes agent behavior observable, safe and auditable. You will be empowered to take ownership from day one-designing secure patterns, building production-grade automations and guiding the roadmap as platforms, models and attack techniques evolve.Accountabilities:Agentic AI Platform Security and Control Engineering: Define, implement and continuously improve controls for agent identity, authentication and authorization; the least agency; tool access; data boundaries; memory governance; inter-agent communications; runtime policy enforcement; human approval gates; auditability and emergency containment.Secure Patterns and Guardrails: Create reusable secure patterns, reference configurations, guardrails and policy-as-code that teams can adopt without redesigning security for each use case.Architecture Assurance: Assess agent architectures and workflows; embed security into onboarding, design reviews, solution blueprints, threat models, release gates and production readiness; validate controls through testing, abuse-case analysis and red/purple-team exercises.Agent Lifecycle Operations: Own or coordinate secure lifecycle from discovery and registration through build, test, approval, deployment, monitoring, change, suspension and retirement; maintain inventory of owners, purpose, autonomy, privileges, data access, dependencies, risk tier and control posture.Workflow and Orchestration Reliability: Govern multi-agent dependencies, delegated actions, retries, approvals, exception handling and fail-safe behavior; drive secure, supportable integration of agents with enterprise platforms and Cybersecurity services via governed APIs and service identities.AI Security Observability: Build telemetry strategies that reconstruct agent intent and actions-including prompts and instructions where policy permits-tool calls, identities, memory updates, policy decisions, outputs, errors and outcomes; integrate with SIEM, SOAR, EDR/XDR, cloud, identity, data protection, application security and case-management platforms.Detection and Response: Design, tune and operationalize detections for AI-specific threats and control failures; lead or support triage, containment, eradication, recovery and post-incident improvement; codify automated response playbooks including safe pause, tool and credential revocation, network isolation, rollback, kill-switch activation, evidence preservation and escalation.AI for Cyber and Cyber for AI Automation: Lead the portfolio that uses agents to improve assessment, threat modeling, detection engineering, vulnerability analysis, incident response and reporting; embed security checks, risk scoring, control validation and approvals into AI/ML and agent delivery workflows; build agents and orchestrations in Python with secure engineering, CI/CD and production support; measure value through cycle-time, quality, coverage, analyst effort avoided, risk reduction and reliabilitySecurity Operations and Platform Stewardship: Provide technical oversight for day-to-day operation of AI security capabilities, ensuring health, telemetry completeness, integration fidelity, detection coverage and continuous service improvement; partner across SOC, cloud, identity, data, application security, DevSecOps, MLOps, platform engineering and architecture; deliver executive-ready dashboards and reporting.Governance, Risk and Regulated-Environment Assurance: Translate policy, regulatory and framework expectations into testable requirements and operational evidence; contribute to threat modeling and risk assessment using leading frameworks; support risk-tiered controls across research, business, regulated and GxP-relevant use cases; document residual risk, control limitations, exceptions and approvals to enable defensible decisions; engage vendors and peers to evaluate capabilities and shape adoption roadmaps.Essential Skills/Experience:Bachelor's degree in Cybersecurity, Computer Science, Software Engineering, Data Science, Information Systems or a related field, or equivalent relevant experienceProven experience in Cybersecurity engineering, security operations, automation, platform engineering, AI/ML engineering or a closely related field, including meaningful hands-on work securing or operating Generative AI or Agentic AI solutionsProven ability to build production-quality automation or agents using Python; experience with APIs, event-driven workflows, testing, source control, CI/CD and operational supportPractical knowledge of agent architectures, LLM applications, RAG, tool calling, memory, orchestration, multi-agent patterns, MCP/A2A concepts and associated security risksHands-on experience with security monitoring, detection engineering, incident response and automation using SIEM/SOAR and relevant cloud, identity, endpoint, data or application security telemetry.xperience defining and validating controls for cloud and AI platforms, preferably across two or more of Azure, AWS and Google CloudStrong understanding of identity and access management, secrets and token security, API security, Zero Trust, secure software delivery, threat modeling and least privilege or least agencyAbility to turn ambiguous problems into practical architectures, backlogs, controls, code, runbooks, metrics and partner decisionsExcellent written and verbal communication, including the ability to explain complex AI security issues to engineers, risk partners and senior leaders.Here, your craft will directly influence how quickly and safely we bring new treatments to patients. You will work with leading AI platforms and modern engineering practices, side by side with scientists, security specialists and data engineers, turning ambitious ideas into scalable, secure reality. With meaningful investment, a culture that backs experimentation and learning, and a community that values kindness alongside ambition, we bring a diverse set of minds together to spark new thinking, move with speed and build technology that truly matters.Take the lead in shaping how secure Agentic AI scales in the real world-join us to build the guardrails, automations and response capabilities that power confident innovation today.Date Posted22-Sept-2026Closing Date27-Sept-2026Our mission to build an inclusive and equitable environment. We want people to feel they belong at AstraZeneca and Alexion, starting with our recruitment process. We welcome and consider applications from all qualified candidates, regardless of characteristics. We offer reasonable adjustments/accommodations to help all candidates to perform at their best. If you have a need for any adjustments/accommodations, please complete the section in the application form.

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