Jobs in united states

Data Enrichment Manager - 29328

Lead the Data Enrichment Team. Support the Head of Analytics and R&D to achieve targets & objectives of the Analytics and R&D function. Shape and deliver data enrichment strategyLocation: West Country or South West London (Hybrid)Category: DataType: PermanentKey Duties (Including but not limited to):Lead the Data Enrichment Team towards the delivery of objectivesManage workload, prioritize and delegate tasks within the Data Enrichment Team to ensure timely delivery of initiativesDefine clear goals for the team, provide constructive feedback, and support professional developmentMotivate members of the Data Enrichment TeamDegree qualified in a relevant field (preferably mathematics, statistics, data science, actuarial science, physics, economics, or a related field)Actuarial or CII qualification would be an advantageA minimum of 5 years in pricing, data analytics, or actuarial roles, with at least 2 years of leadership experienceStrong management and mentoring skills to develop a high-performing team of pricing professionalsAdvanced knowledge of tools such as RADAR, Python, R, SQL, Excel, and data visualization platforms (e.g., Tableau, Power BI)

Senior Software Engineer - DevSecOps, AI/ML, Cloud

RTX is seeking a Senior Software Engineer to join our Manchester (or Gloucester) team. You will design and build software, collaborate with engineers and stakeholders, and contribute to cross-functional delivery of mission-critical systems.The role requires a minimum of 5 years in software engineering and a willingness to attain eDV clearance. You will work in a cross-functional DevSecOps environment, leveraging JavaScript/TypeScript, Python, Java REST APIs, and modern cloud/container

DevOps Engineer - Scalable Cloud & Live Ops

IMG's Technology team is seeking an experienced DevOps Engineer to design, implement, and operate scalable, secure infrastructure and delivery pipelines across our digital and broadcast platforms.You will enable continuous delivery, improve reliability, and support high-profile clients and live event services, leveraging cloud-first architectures, IaC, CI/CD, and comprehensive observability tools.

Senior Analytics Engineer

MOO brings brands to life in a sustainable way, with a range of remarkable print and merchandise products. We combine design, technology, manufacturing, and service, so that people can connect in memorable ways. Not online but out there, in real life.We started in 2004. Since then we've built an award-winning and much-loved brand, with customer satisfaction and Trustpilot ratings that make most businesses want to give up and hire an army of review bots. We've got half a million customers, mostly small and medium businesses in North America, the UK, and Europe - businesses that, like us, get all excited about putting something real and beautiful into people's hands. Does that make us nerds? Probably, and we're ok with that.We've been given the highest business award in Britain, 'The Queen's Award for Enterprise'. Backed by venture capital, we're part of Tech Nation's 'Future Fifty', recently passing $1bn in lifetime revenue, and featuring in the Guardian's top 10 UK start-ups list. Ok, we'll stop bragging now.Today, we're more than 400 people with our global HQ in London, UK, while we also have premises in Dagenham. In the US, you'll find us in Boston, MA, as well as East Providence, RI and Denver, CO and with our most recent office expansion in Cape Town South Africa.We're a team of data engineers and analytics engineers running the platform that brings together data from our e-commerce, manufacturing, fulfilment, and finance systems.We build on a modern, warehouse-native stack - Snowflake, dbt, and Dagster - and we're working towards a governed semantic layer so trusted metrics are defined once and consumed everywhere: dashboards, self-service tools, and AI assistants.This role exists to own analytical domains end-to-end. Defining their metrics in the semantic layer with stakeholders, data modelling in dbt, and making sure a KPI resolves to the same trusted answer wherever it's consumed. The person we want You're an analytics engineer or data analyst with a rounded experience in data modelling and engineering practice.You possess excellent communication skills, with the ability to articulate complex technical concepts to non-technical stakeholders.You have strong business acumen and instinct, enabling you to challenge metric definitions to ensure they reflect real business outcomesYou hold an honest, practical view about AI. You're enthusiastic about what governed, semantically-modelled data makes possible, but rigorous about validation and approach new capability with a healthy skepticism (but not cynicism). Responsibilities Partner with stakeholders across operations, commercial, finance, and supply chain to design data models and unlock analytic capabilitiesDefine metrics, dimensions, and business logic in the semantic layer (dbt Semantic Layer / Snowflake semantic views)Deliver reporting through our BI tooling (currently Tableau) with a tool-agnostic mindset, and reduce duplicated or conflicting outputs.Curate and validate governed datasets and semantic models for AI/natural-language consumption, acting as the accuracy bar for AI-generated analysis.Champion healthy self-service and data literacy heading in the directon of fewer, better, trusted outputsReview others' work constructively and contribute to the team's modelling standards.Demo new features and train business stakeholders when required About you Strong SQL and production dbt experienceProduction experience on a cloud warehouse with Git-based, review-first workflowsA track record of defining metrics with stakeholders and delivering outcomes people rely onCan demonstrate sound judgement about where logic should live - e.g. in semantic layer or BI layerDemonstrable interest in how data analytics is changing alongside AI, and developing own skillset Nice to have's Semantic layer tooling in productionNatural-language/AI analytics tools (e.g. Cortex Analyst or similar) or preparing data for LLM consumption.Experience rationalising dashboard estates or migrating BI logic downstreamE-commerce, manufacturing, or subscription business domains What's it like to work at MOO? MOO's the kind of workplace where you can really be yourself. Dye your hair purple. Hit the sofa with your laptop. Whatever helps you feel comfortable and happy at work. We want to help you grow in your career and set you up for success - while also recognising the importance of a healthy work/life balance.That's why we offer 25 days holiday rising by one day for each year here (for 5 years), a matched pension scheme, and paid parental leave. We'll offer you private healthcare, life insurance, a season ticket loan, and a cycle to work scheme. We also offer flexible work schedules with hybrid and remote working for certain roles as well as a Work From Anywhere program. Diversity Statement We are working hard to create a representative, inclusive and super-friendly team, because we know that different experiences, perspectives and backgrounds make for a better workplace. And that creates a better experience for our customers. MOO doesn't discriminate on the basis of race, colour, religion or belief, gender, national origin, age, sexual orientation, marital status, disability or any other protected class.As a design and technology company we have a desire and a responsibility to build a business that represents the world around us. So we strive to create a values-driven, purposeful and highly empowered organisation that we are all proud to work for. And we are committed to continuous investment in building an open and inclusive environment, welcoming a diverse audience of candidates who see themselves working and thriving at MOO. Therefore, we'd like to invite you to complete this optional survey to help us evaluate our inclusion and diversity efforts. Completing this form is entirely voluntary and if you decide not to it won't in any way affect your job application. We keep the information separate from your application and it is kept secure and confidential, it is only used to better our inclusion and diversity efforts.By submitting this information, you consent to MOO's processing of it for these purposes.

Security-Cleared AWS DevOps Engineer

Solirius Reply, part of the Reply Group, seeks a Security Cleared AWS Cloud Engineer to design, implement, and maintain secure cloud infrastructure across AWS and on-premises environments. The role requires an active UK security clearance and experience in regulated or security-sensitive settings.You will work on AWS infrastructure, automation, and DevOps, delivering resilient, compliant cloud platforms while collaborating with architects, developers, and client stakeholders.

Principal QA Engineer - Data

About us We're the team behind digital retailer Very.Our purpose, helping families get more out of life, powers everything we do.And we want our people to get more out of life too! If you're high-performing, ambitious and make the most of every opportunity, we want to hear from you. In return, you'll enjoy heaps of flexibility, great perks and benefits, and the freedom to be yourself, keep learning and take your career wherever you want it to go.If you love making a difference, you'll love making it sparkle for millions of Very customers. About the team Data is at the heart of everything we do at Very. From powering customer experiences and operational decision-making to enabling advanced analytics and AI, our data platforms play a critical role in helping the business move forward with confidence.We're looking for a Principal QA Engineer to join our growing Data Engineering team and help shape the future of quality assurance across our modern data ecosystem.This is a highly influential role where you'll lead the evolution of Data QA practices, champion automation, and help establish the frameworks, standards, and ways of working that will underpin our next generation of data platforms. Working closely with Data Engineers, Analytics Engineers, Architects, and Product teams, you'll ensure quality is built into every stage of the data lifecycle.You'll be joining at an exciting time as we evolve our operating model, modernise our testing approach, and significantly increase our automation capability across the Data function. About the role As a Principal QA Engineer, you'll be responsible for defining and driving the Data QA strategy across a complex and evolving data landscape.You'll lead the move from a predominantly manual testing approach towards a scalable and automated framework, helping to improve confidence, speed, and quality across our data products and platforms.Working closely with engineering teams, you'll design and implement robust testing frameworks for data pipelines, transformations, integrations, and reporting layers. You'll also play a key role in validating data quality, identifying defects early, and ensuring that data products are reliable, accurate, and fit for purpose.Beyond the technical aspects of the role, you'll act as a technical leader within the team, mentoring and coaching QA Engineers while helping to establish best practices, standards, and a culture of continuous improvement.You'll also explore how emerging technologies, including AI-assisted testing approaches, can help improve quality, efficiency, and delivery outcomes across the wider Data organisation.Defining and implementing the Data QA strategy across our data platforms and products.Designing and introducing scalable automated testing frameworks for data solutions.Developing testing approaches for ETL/ELT pipelines, data transformations, and integrations.Creating and maintaining robust test data strategies and test scenarios.Working closely with Data Engineering teams to embed quality throughout the development lifecycle.Performing data validation, reconciliation, and quality assurance activities across large datasets.Leading root-cause analysis and helping teams identify and resolve data quality issues.Mentoring and coaching QA Engineers, supporting their technical and professional development.Driving best practice across automation, quality engineering, and test management.Contributing to the adoption of AI-enabled testing tools and modern engineering practices. About you Significant experience in Data QA, Data Testing, Quality Engineering, or SDET roles.Strong experience testing modern data platforms, data pipelines, and ETL/ELT processes.Excellent SQL skills with the ability to interrogate, validate, and troubleshoot complex datasets.Experience building and implementing test automation frameworks.Strong understanding of data quality principles, data validation techniques, and testing methodologies.Experience working within cloud-based environments, ideally AWS.The ability to create meaningful test data and define complex testing scenarios.Strong stakeholder management and communication skills.Experience mentoring, coaching, and developing other QA professionals.A naturally curious mindset with a passion for identifying issues and improving quality. Nice to have Python experience, particularly for test automation, test data creation, or data validation activities.Experience working within Lakehouse architectures and modern data platforms. Some of our benefits Flexible, hybrid working modelInclusive culture and environment, check out our Glassdoor reviews£1000 flexible benefits allowance to suit your needs30 days holiday + bank holidaysLinkedIn Learning accessBonus potential (performance and business-related)Up to 25% discount on Very.co.ukMatched pension up to 6%More benefits can be found on our career site Diversity, inclusion and equal opportunities We're building a culture of everyday inclusion, and welcome applications from anyone who believes they can do the job. We don't discriminate based on age, disability, gender reassignment, marriage or civil partnership, pregnancy or maternity, race, religion or belief, sex, or sexual orientation.We want our recruitment process to be accessible to everyone. If you need reasonable adjustments to apply, interview, or perform a role, let us know via . We'll be happy to support you.We're proud to be a Disability Confident Committed Employer and have nine brilliant colleague networks - including DAWN (Disability Awareness at Very) and Think (Neurodiversity at Very) - that are helping us make Very an even more inclusive place to work.

Full-Stack Data Science Engineer on AWS & ML

Sperry Rail is seeking Full Stack Engineers with a data science focus to design, build, and maintain data-driven applications behind Zula 2.0, the platform that ranks and fuses outputs from rail inspection systems. You will work across the full stack with emphasis on backend data processing, analytics, and ML workflows hosted on AWS.Bring strong Python, data pipelines, AWS experience, and a collaborative mindset to translate rail inspection requirements into scalable technical solutions while

Senior DevOps Engineer

Labs is live: Build and deploy custom AI security apps on an enterprise foundation that is ready for production. We're hiring a Senior DevOps Engineer to support the team that keeps ThreatAware's platform running and shipping. You'll own AWS infrastructure, CI/CD pipelines, observability, and platform reliability - and define the developer workflow end-to-end, pioneering how AI can streamline every step. You report to the CTO. If you believe infrastructure is a competitive advantage and not just a cost centre, this is the role. Why ThreatAware? ThreatAware gives security teams a single source of truth for every device and tool in their organisation. 150+ integrations, deploys in under 30 minutes, real-time visibility across entire IT estates. Finance, legal, energy, healthcare - they trust us to show them what's protected and what isn't. Now we're building something bigger. Six years of accurate cyber asset data, and we're layering AI on top of it - new ways for security teams to interrogate their data, automate workflows, and act on risk before it becomes a problem. Your infrastructure is what makes shipping all of this possible. What you'll do Build and maintain the infrastructure that lets the product team ship fast and sleep well. Work across AWS infrastructure end to end - multi-tenant architecture, container orchestration, disaster recovery, cost optimisation. You know this space and you care about getting it right. Define the developer workflow and keep improving it. Build the tooling, observability, and automation that let engineers focus on code, not friction. Pioneer AI-assisted DevOps - explore and implement ways AI can streamline builds, deployments, monitoring, and incident response. Drive CI/CD excellence: fast builds, safe deployments, quality gates, and the ability for product teams to ship independently. Own cloud security posture: IAM, secrets management, compliance, vulnerability scanning. We're a security company - our own infrastructure has to reflect that. What we're looking for Deep AWS expertise - you've architected production infrastructure, not just maintained it. Strong opinions on Infrastructure as Code (Pulumi preferred), CI/CD, and containerisation. You balance operational rigour with velocity. You know when to move fast and when to slow down. Experience in high-security or regulated industries is a strong plus. Ready to make an impact? Join a team building the future of threat intelligence.

AI Compiler Optimization Engineer - Edinburgh

We are seeking a skilled AI Compiler Optimization Engineer to optimize AI model inference performance through advanced compiler technologies. You will focus on performance tuning for CPU or hybrid CPU/XPU heterogeneous architectures, profiling AI frameworks to discover new optimization opportunities, and delivering cutting-edge insights from industry research.Key Responsibilities:Compiler-Based Performance Optimization:Implement compiler techniques (e.g., MLIR level optimizations, LLVM backend optimizations) to enhance inference performance on CPU and CPU/XPU hybrid systemsOptimize JIT level compute graphs with operator fusion, memory allocation and etc. for latency/throughput improvementsPreferred: Experience with LLVM/MLIR developmentAI Model Profiling & Framework Optimization:Profile end-to-end inference workflows on frameworks like TensorFlow, PyTorch, ONNX, and llama.cpp to identify hotspots and bottlenecksPropose and implement optimization strategies (e.g., kernel tuning, graph-level optimizations)Preferred: Experience optimizing models on multiple AI frameworksResearch & Insight Development:Track and analyze the latest advancements in AI & compiler research (academic papers, open-source projects)Produce actionable insight reports summarizing trends, benchmarks, and potential optimizationsPreferred: Strong technical writing skills with prior publications or reports

Java, Python Lead Software Engineering - Risk Data Platform & Strategy

Join us and shape the future of risk technology with your expertise in data engineering and software development. You will have the opportunity to push boundaries, innovate, and make a meaningful impact on our business. We value diversity, inclusion, and respect, fostering a collaborative environment where your ideas matter. Experience career growth and mobility while working with market-leading technology products. Be part of a team that thrives on creativity and continuous improvement.As a Lead Software Engineer at JPMorgan Chase within the Data Platform & Strategy team within Corporate Risk Technology, you will design, build, and enhance advanced data engineering solutions. You will play a pivotal role in delivering secure, stable, and scalable technology products that support our business objectives. You will collaborate with agile teams, contribute to technical strategy, and drive innovation across multiple technical areas. Your work will help shape the team culture and the impact of our technology solutions. Job Responsibilities: Execute creative software solutions, design, development, and technical troubleshooting to solve complex problemsDevelop secure, high-quality production code for data-intensive applications and review code written by othersIdentify opportunities to automate remediation of recurring issues and improve operational stabilityLead evaluation sessions with external vendors, startups, and internal teams to assess architectural designs and technical credentialsDrives adoption and governance of approved AI-assisted engineering practices across teams to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test acceleration, release readiness, incident/root-cause analysis), while establishing measurable validation standards (secure coding, peer review, automated testing) and promoting reuse of proven patterns and automation within the SDLC/TLM toolchain.Applies knowledge of tools within the Software Development Life Cycle toolchain, including approved AI-assisted development and automation capabilities, to improve the value realized by automation at scale.Drive communities of practice across Software Engineering to promote new and leading-edge technologiesFoster a team culture of diversity, opportunity, inclusion, and respect Required Qualifications, Capabilities, and Skills: Proficiency in Engineering & Architecture, AI/ML, with hands-on experience designing, implementing, testing, and ensuring operational stability of large-scale enterprise data platformsAdvanced skills in one or more programming languages such as Java, Python, C/C++, or C#Practical experience delivering system design, application development, testing, and operational stabilityWorking knowledge of relational and NoSQL databases and data lake architecturesExperience developing, debugging, and maintaining code with modern programming languages and database querying languagesExperience in large-scale data processing, microservices, API design, Kafka, Redis, MemCached, Observability tools (Dynatrace, Splunk, Grafana), and Orchestration tools (Airflow, Temporal)Demonstrated experience leading effective use of enterprise-authorized AI-assisted software development tools within the work environment (e.g., for coding, code review, test acceleration, troubleshooting) with the ability to set team expectations for validating AI outputs for correctness, performance, and securityStrong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; experience coaching senior engineers/leads on compliant usage patterns and controls.Proficiency in automation, continuous delivery methods, and all aspects of the Software Development Life CycleAdvanced understanding of agile methodologies, CI/CD, application resiliency, and securityPractical cloud-native experience Preferred Qualifications, Capabilities, and Skills: Experience with modern data technologies such as Databricks or SnowflakeHands-on experience with Spark/PySpark and other big data processing technologiesDemonstrated proficiency in software applications and technical processes within disciplines such as data engineering, cloud, artificial intelligence, machine learning, or mobileKnowledge of the financial services industry and their IT systems

Lead Performance Test Engineer ( SC Eligible/ SC Cleared )

Lead Performance Test Engineer ( SC Eligible/ SC Cleared ) London, United Kingdom Posted on 01/09/2026Scrumconnect Consulting is a multi-award-winning digital consultancy, recognised for delivering impactful technology solutions across UK government departments. Our work has positively influenced the lives of over 40 million UK citizens. With a strong commitment to user-centred design and agile delivery, and more to deliver innovative digital services that matter. Role Overview We are seeking a Lead Performance Tester / Performance Engineering Lead to provide end-to-end ownership of performance testing and performance assurance across complex digital services.This role acts as the performance authority , accountable for defining strategy, leading delivery, and providing formal recommendations on production readiness. Key Responsibilities Own the performance testing strategy for assigned services or programmesLead volumetric analysis, performance risk assessment, and test scopingDefine entry/exit criteria, success measures, and acceptance recommendationsProvide performance engineering expertise , including architectural inputLead and coordinate load, stress, soak, and scalability testing activitiesOversee integration of performance testing into CI/CD pipelinesAnalyse results and lead root-cause analysis of systemic performance issuesProduce and sign off Test Completion Reports and readiness assessmentsEngage with senior stakeholders, architects, and governance forumsSupport Operational Acceptance Testing (OAT) and live readinessDrive continuous improvement, innovation, and best practices in performanceExtensive experience leading performance testing for large-scale systemsStrong background in performance engineering , not just tool executionProven ability to make design and architectural recommendationsExperience with cloud platforms (especially AWS )Deep understanding of:Distributed systemsScalability, resilience, and capacity planningConfident stakeholder engagement at technical and leadership levelsExperience operating in governed or regulated environmentsPublic-sector or government programme experienceExperience with APM, monitoring, observability, or AI-assisted analysisFamiliarity with GDS or enterprise assurance frameworks Scope & Accountability Accountable for end-to-end performance testing outcomesOwns performance risk, strategy, and assurance for assigned servicesProvides formal recommendations on test exit and production readinessLeads and mentors performance testers across engagementsActs as the senior escalation point for performance-related issuesRepresents performance capability in governance and assurance forums Our Commitment to Diversity & Inclusion At Scrumconnect Consulting, we believe thatdiversity drives innovation. We are committed to creating an inclusive environment where everyone is respected, valued, and supported. We actively encourage applications fromwomen, people with disabilities, individuals from underrepresented communities, and those seekingflexible working arrangements.As aDisability Confident Level 1 employer, we provide reasonable adjustments throughout the recruitment process and employment to ensure equal opportunity for all.

Lead Data Platform Engineer - AI-Driven & Secure

JPMorgan Chase & Co. in London invites a Lead Software Engineer to design, build, and scale data engineering solutions within Corporate Risk Technology.You will guide cross-functional teams, implement secure production code, and drive AI-assisted development practices to improve quality and speed. The role emphasizes applying cloud-native architectures, modern data technologies like Kafka, Databricks, and Spark, and maintaining operational stability while shaping the team's technical strategy

Lead Software Engineer, Developer Experience (Hybrid)

Capital One (Europe) plc in Nottingham is seeking a Lead Software Development Engineer to enhance Developer Experience. You will sit at the intersection of software engineering and community advocacy, gathering feedback from UK Tech and sharing best practices across the business.You will lead with strong coding skills (Java, TypeScript, or Python), cloud expertise (AWS or similar), and experience with CI/CD and Infrastructure as Code to accelerate delivery and reduce engineering friction.

Atlas Developer

We're recruiting on behalf of a leading financial firm that leverages cutting-edge technology to deliver liquidity to global markets and innovative, transparent trading solutions to clients. As a market maker, our client provides deep liquidity that helps create more efficient markets around the world, with market structure expertise, broad diversification, and execution technology enabling competitive bids and offers across thousands of securities, hundreds of venues, and dozens of countries worldwide. Role Overview The Development team behind our client's client trading infrastructure is a highly talented group of versatile software engineers serving hundreds of clients. As an Atlas Developer, your primary responsibility will be to design, develop, and maintain front-to-back trading infrastructure covering all aspects of the trading lifecycle, including order management, exchange connectivity, smart order routing, internalisation, and clearing. This includes designing and building software within existing trading systems, and improving the scalability, performance, and efficiency of the infrastructure. They're looking for self-directed, passionate developers with a solid technical foundation and a drive to dive into the details of advanced technologies and programming languages. Strong communication skills are highly valued - the ability to discuss complex, technical problems is critical to a collaborative culture. You'll join a dynamic, fast-paced, meritocratic environment with a flat hierarchy. No finance background is necessary or expected - you'll learn all the intricacies of how trading and technology intersect within the global financial marketplace, in a culture where learning and teaching are key. Responsibilities Design, build, and maintain proprietary, low-latency trading systems and infrastructure Produce powerful trading tools which leverage all aspects of a high-performance system Improve the scalability and performance of the trading infrastructure Understand the future needs of the business and design technical solutions to meet these demands Handle a wide variety of projects, from frontend-facing work to backend infrastructure, each in different programming languages The Candidate B.S. or M.S. in Computer Science, Computer Engineering, or related field or experience Experience building and designing distributed and scalable software in general purpose languages such as Java, Go, C++ Driven, self-starting personality, with the ability to demonstrate peer leadership and initiative early on Excellent written and verbal communication skills Desired but Not Required Experience in Python Experience in distributed and/or highly concurrent systems Experience in low-latency systems and/or high transaction environments Experience working in collaborative environments Experience with relational databases 2 to 5+ years of experience building, shipping, and maintaining highly optimised, scalable code 26 days annual leave, plus additional leave for community service, marriage/civil partnerships, and moving house Family Support: Paid maternity leave and enhanced paternity leave Comprehensive Health & Wellbeing: Private health, dental, and optical cover, annual health assessments, private GP access, and a dedicated wellness programme Financial Protection: Life assurance, income protection, and a competitive pension scheme Active Lifestyle Perks: Gym subsidy/fitness reimbursement and Cycle to Work scheme Travel Cover: Personal travel insurance Daily Perks: Complimentary catered lunches every day Our client is an equal opportunity employer, committed to a diverse and inclusive workplace, welcoming applicants for who they are, and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

IAM Architect: Zero-Trust, Azure & PAM Leader

Mayer Brown is seeking an Architect: Infrastructure & Access Management to lead global IAM initiatives from our London office. You will shape authentication and authorization architecture, integrate with HR and IT systems, and drive zero-trust design across on-prem and cloud environments.You will partner with security and Platform Engineering teams to deploy MFA, Conditional Access, and guardrails, ensuring regulatory readiness and robust identity controls for a complex enterprise.

Cyber Security Architect

Our client is seeking a hands-on Cyber Security Architect to support and enhance their global security environment. This role combines security architecture with technical delivery, working on projects including EDR deployment, email security improvements, and NIST CSF compliance. Responsibilities Design and implement enterprise security solutions.Configure and optimise firewalls, IDS/IPS, and network segmentation.Support Azure security and secure landing zones.Guide IT and security teams.Support security risk and compliance initiatives. Essential skills Strong security engineering and architecture experience.

SAP Supply Chain EWM Functional Consultant/Manager

Role Title: SAP Supply Chain EWM Functional Consultant/Manager Location: London / Manchester/ Birmingham / Edinburgh Salary:Competitive salary and package dependent on experience Career Level: Consultant & Manager Please Note:Any offer of employment is subject to satisfactory BPSS and SC security clearance which requires 5 years continuous UK address history(typically including no periods of 30 consecutive days or more spent outside of the UK) at the point of application. As a team: You'll learn, grow and advance in an innovative culture thatthrives on shared success, diverse ways of thinking and enables boundaryless opportunitiesthat candrive your career in new and exciting ways If you're looking for a challenging career working in a vibrant environment with access to training and a global network of experts, this could be the role for you.As part of our global team, you'll be working with cutting-edge technologies and will have the opportunity to develop a wide range of new skills on the job. In our team you will: How to provide solutions to real world problems across a variety of industries. How to help transform leading organisations and communities around the world. The sheer scale of our capabilities and client engagements and the way we collaborate, operate and deliver value provides an unparalleled opportunity to grow and advance. How best to develop your skills and hone your talents within an innovative technology environment. What's in it for you At Accenture in addition to a competitive basic salary, you will alsohave an extensive benefits package which includes up to 30 days vacation per year, private medical insurance and 3 extra days leave per year for charitable work of your choice! up to 30 days vacation per year private medical insurance 3 extra days leave per year for charitable work of your choice! Flexibility and mobility are required to deliver this role as there will be requirements to spend time onsite with our clients and partners to enable delivery of the first-class services, we are known for. Closing Date for Applications: 30/09/2026 Accenture reserves the right to close the role prior to this date should a suitable applicant be found. We are looking for experience in the following skills: Experience in SAP EWM and/or TM experience with a background in SAP warehousing and logistics. Strong understanding of SAP EWM and/or TM modules, including inventory, space utilisation, material flow, automation integration, production integration, transportation execution and planning, quality, and yard management. Proficiency in configuring and customizing SAP EWM and/or TM functionalities to meet client specific requirements. Capability to design and implement efficient production logistics, warehousing, and transportation strategies. Proficiency in design and implementation of SAP EWM and/or TM embedded/decentralised architecture and Basic/Advanced functionality. Familiarity with integration points between SAP EWM, TM, PP (Production Planning), FI (Finance) and other SAP modules, such as MM (Materials Management), QM (Quality Management), and SD (Sales and Distribution). Set yourself apart: Experience with SAP S/4HANA, SAP S/4HANA Cloud, or SAP Fiori, and their impact on SAP EWM and/or TM processes. Proficiency in data migration and data integration between SAP and non SAP systems. Experience in handling international projects or working in a multi cultural environment. Experience with 3rd party integrated solutions and automation like ASRS, AGV, Pick by light. Understanding of Industry 4.0 concepts and their application in warehousing and transportation.

Senior Data & AI Leader - Financial Services Transformation

Datatech Analytics is seeking a Manager / Senior Manager Data & AI to lead enterprise Data & AI programmes for Financial Services clients. Hybrid London, Manchester or Glasgow, permanent consultancy role, with a focus on strategy, delivery and measurable business outcomes.You will shape AI roadmaps, manage multi-disciplinary teams of consultants, engineers and architects, engage senior stakeholders and drive proposals, governance and production-ready AI solutions.

Java Tech Lead for Payments Cloud Platform

JPMorganChase is seeking a Java Lead Software Engineer within the Payments Technology Regulatory Reporting team to design and deliver secure, scalable cloud technology products. You will collaborate with agile teams to create solutions that support business objectives and drive continuous improvement.You will lead end-to-end delivery across Python-based services, data pipelines, and analytics, contributing to a culture of inclusion and opportunity while advancing your skills in a dynamic

EMEA Integrations Engineer for Global Compliance

k-ID is seeking a Forward Deploy Engineer to design, develop, and maintain integrations between k-ID services and client systems in the EMEA region. This role focuses on supporting London-based clients with a strong emphasis on full-stack development and cross-platform deployments.You will work with game engines, mobile apps, and web platforms, ensuring seamless integration and high availability. Fluency in English is required, plus additional European languages are a strong plus.