151 to 175 of 18,696 AI Jobs in the UK

post-release validation Develop secure, high-quality production code and contribute to technical troubleshooting, reviews, and continuous improvement Drive team adoption of enterprise-authorized AI-assisted engineering practices to improve code quality, delivery speed, and operational outcomes, while setting consistent validation standards (secure coding, peer review, automated testing) and promoting … reuse of effective patterns Apply software development lifecycle toolchain knowledge, including enterprise-authorized AI-assisted development and automation capabilities, to increase the value realized through automation Required qualifications, capabilities, and skills Bachelor's degree or equivalent practical experience Hands-on experience delivering system design, application development, testing, and operational stability ...

with Business Operations, Product Management, and Technology stakeholders to ensure business requirements are properly articulated, understood, and realized as secure and robust solutions. Apply AI tools and techniques to improve Solution Architecture practices - including accelerating requirements analysis, pattern identification, data modeling, and architecture documentation. Ensure full conformance with firm-wide … benefits and importance of Solution Architecture across business and technology communities through strong communication, presentations, workshops, and agile development forums. Leverages enterprise-authorized AI capabilities within the work environment to accelerate architecture analysis and decisioning across the product family, with human-in-the-loop validation and appropriate handling of sensitive ...

Emerging Technology, Shared Technology Services, Technology, Risk and the Executive Program Management Office (EPMO). Driven by our investment in cutting-edge technologies like AI and cloud solutions, we’re home to a diverse range of roles and backgrounds united by a shared passion for leveraging modern technology to drive … Operation teams to deliver scalable data infrastructure, APIs, and services with a focus on reliability, performance, data integrity, and innovation—including the integration of AI/ML capabilities to enhance data solutions and developer productivity How You’ll Make an Impact: Lead and mentor a high-performing software engineering team ...

driven transformation, educate stakeholders, and manage high‐performing data capability to support a data culture across Silverstone and its stakeholder groups, including promoting practical AI literacy in tools such as Microsoft Copilot and Claude. Key Responsibilities Data & Platform Engineering Build and evolve a scalable, secure data platform integrating key sources … continuous improvement of self‐service capability. Build a data community of practice to share best practice, success stories, and reusable assets across teams. Promote AI literacy across the business, including practical and responsible use of tools such as Microsoft Copilot and Claude to improve productivity, insight generation, and decision‐making. ...

thrive. Your day at NTT DATA We are seeking a highly experienced and visionary Data Solutions Architect (Modern Big Data) to join our Data & AI practice. The successful candidate will bring extensive expertise in architecting and delivering modern big data platforms that are scalable, reliable, and business-aligned. This role … data visualisation, and DevOps principles. Strong understanding of data governance, security, and compliance frameworks (GDPR, CCPA, HIPAA). Exposure to machine learning and AI integration within modern data platforms. Experience, Qualifications, And Education Experience: Minimum 8–12 years in data architecture, engineering, or consulting, with at least 4+ years ...

shaping the overall system architecture. You will collaborate closely with cross‐functional teams following Agile practices, delivering scalable and maintainable solutions that power our AI‐driven products and client deployments. Key Responsibilities Design, build, and maintain high‐performance backend API services using Python, FastAPI, and Pandas. Develop clean, well‐documented … tested code. Preferred Qualifications Frontend experience using React is a plus. Knowledge of SAP systems and integration patterns is advantageous. Familiarity with LLMs and AI/ML integration patterns is a plus but not mandatory. Experience working in cross‐functional, remote, or distributed engineering teams. Exposure to containerization of Applications ...

audit specialist within the function, informing risk assessment, audit planning, and continuous monitoring activities. Provide expert insight on evolving risk areas (e.g. cyber resilience, AI/ML, automation, third-party risk, cloud transformation). Support Broader Audit Delivery Embed IT risk considerations within business and operational audits (e.g. underwriting, claims … execution, leveraging large datasets to drive insight and risk identification. Act as a champion for innovation within Internal Audit, particularly in the use of AI and automation to improve audit efficiency, coverage, and quality. Stakeholder Engagement Build effective relationships with IT, security, data, and business stakeholders across the organisation. Provide ...

business by “closing the loop”—ensuring data isn’t just sitting in a dashboard but is actively driving operational tools and decision-making. AI Integration: Leverage AI tools and LLMs to accelerate development cycles, automate documentation, and explore new ways to enhance data quality. Stakeholder Engagement Act as a consultant … performant queries. Python Literacy: Not a software developer, but you must be comfortable reading code, writing scripts for data manipulation, and handling API. AI Comfort: You are an “AI-first” builder who is comfortable using AI tools (e.g., Cursor, GitHub Copilot, LLMs) to write code faster, debug, and stay ahead ...

control, documentation, testing and release management. They will contribute to the most complex analyses and help introduce new techniques, including the practical application of AI tools within the analytics workflow. Key Responsibilities Acting as the senior analytics business partner to one or more underwriting classes, proactively identifying where analytics … exposure management. Translating open-ended commercial questions into well-scoped analyses and dashboard requirements. Identifying practical opportunities to enhance the analytics workflow with AI tooling. Supporting the Data Analytics Manager in shaping external data analytical propositions. Applying and helping embed the team's development lifecycle for BI and analytics assets ...

Working With**As a Data Solution Architect at Capgemini, you will design and lead the delivery of modern data platforms that enable analytics, AI, GenAI, and data driven decision making at scale. You will translate business strategy into robust, governed, and AI ready architectures, taking end to end ownership from … Warehouse, and Real-Time Analytics), and the wider Azure data ecosystem to design, develop, and implement modern data architectures and pipelines that fuel analytics, AI/ML, and data-driven operations.* Design and build high-performance data integration solutions: Use Azure Data Factory (and/or Fabric Data Factory ...

data processing. Experience with version control tools (GitHub, Bitbucket) and CI/CD pipelines. Understanding of data governance, security, and compliance frameworks. Exposure to AI/ML workloads desirable. Experience, Qualifications, and Education Experience: Minimum 5–8 years in data engineering, data warehousing, or data architecture roles, with at least … Global 100. We are committed to accelerating client success and positively impacting society through responsible innovation. We are one of the world’s leading AI and digital infrastructure providers, with unmatched capabilities in enterprise-scale AI, cloud, security, connectivity, data centers and application services. Our consulting and industry solutions help ...

data processing. Experience with version control tools (GitHub, Bitbucket) and CI/CD pipelines. Understanding of data governance, security, and compliance frameworks. Exposure to AI/ML workloads desirable. Experience, Qualifications, and Education Experience: Minimum 5–8 years in data engineering, data warehousing, or data architecture roles, with at least … Global 100. We are committed to accelerating client success and positively impacting society through responsible innovation. We are one of the world’s leading AI and digital infrastructure providers, with unmatched capabilities in enterprise-scale AI, cloud, security, connectivity, data centers and application services. Our consulting and industry solutions help ...

other analytical tools to investigate datasets, identify trends and relationships, test hypotheses and generate actionable insights. Apply appropriate statistical techniques, forecasting methods, ML and AI approaches where they add value to the problem being solved. Collaborate with the product and software engineering teams to turn analytical work into reusable tools … practices (version control, unit testing, code review, etc.). Strong experience with data visualisation frameworks (e.g., PowerBI, Streamlit). Experience applying machine learning and AI, including generative AI, to real‐world problems where it provides clear benefit. Familiarity with statistical concepts and their application in data analysis. Solid communication skills ...

other analytical tools to investigate datasets, identify trends and relationships, test hypotheses and generate actionable insights. Apply appropriate statistical techniques, forecasting methods, ML and AI approaches where they add value to the problem being solved. Collaborate with the product and software engineering teams to turn analytical work into reusable tools … practices (version control, unit testing, code review, etc.). Strong experience with data visualisation frameworks (e.g., PowerBI, Streamlit). Experience applying machine learning and AI, including generative AI, to real‐world problems where it provides clear benefit. Familiarity with statistical concepts and their application in data analysis. Solid communication skills ...

specialist within the function, informing risk assessment, audit planning, and continuous monitoring activities. + Provide expert insight on evolving risk areas (e.g. cyber resilience, AI/ML, automation, third-party risk, cloud transformation).* **Support Broader Audit Delivery** + Embed IT risk considerations within business and operational audits (e.g. underwriting … leveraging large datasets to drive insight and risk identification. + Act as a champion for innovation within Internal Audit, particularly in the use of AI and automation to improve audit efficiency, coverage, and quality.* **Stakeholder Engagement** + Build effective relationships with IT, security, data, and business stakeholders across the organisation. ...

uniquely positioned to future-proof organizations against any cyber challenge. If that excites you, read on! Immersive is the cyber proving ground for the AI enterprise. Through Immersive One, organizations can test whether people, AI-enabled workflows, cyber security teams, agents, and leaders can perform securely under realistic pressure, then … benchmark, and report readiness. Trusted by 30%+ of the Fortune 100 and ranked #1 in the Forrester WaveTM 2026, Immersive helps organizations prove AI can be adopted safely, teams can develop and defend at AI speed, leaders can lead through crisis, and AI agents can be validated before they ...

Modeling Technology Team, you will help build and enhance portfolio manager‐facing applications across the full stack. You will help drive the integration of AI‐assisted development practices and emerging technologies into investor‐facing workflows and tooling. You will tackle compelling challenges alongside exceptional technology and investment professionals, solving problems … infrastructure, and back‐end Prototype and develop new software components, workflows, and features; enhance and optimize existing systems for performance and maintainability Integrate AI‐driven capabilities into investor‐facing applications to improve workflows and decision‐making Partner with business analysts, QA engineers, and investment professionals to review and qualify business ...

other analytical tools to investigate datasets, identify trends and relationships, test hypotheses and generate actionable insights. Apply appropriate statistical techniques, forecasting methods, ML and AI approaches where they add value to the problem being solved. Collaborate with the product and software engineering teams to turn analytical work into reusable tools … practices (version control, unit testing, code review, etc.). Strong experience with data visualisation frameworks (e.g., PowerBI, Streamlit). Experience applying machine learning and AI, including generative AI, to real-world problems where it provides clear benefit. Familiarity with statistical concepts and their application in data analysis. Solid communication skills ...

Scikit-learn . Knowledge of data visualisation tools such as Power BI or Tableau. Experience with Git/version control. Exposure to Generative AI, LLMs or NLP . Experience deploying models into production environments. What's on Offer Competative salary Hybrid working 25 days' annual leave + bank holidays Company … pension scheme Private healthcare Annual performance bonus Professional development and training budget Opportunity to work with modern data and AI technologies Clear progression opportunities within the data team If you're a commercially experienced Data Scientist looking for your next challenge, we'd love to hear from you. ...

models at scale using Docker, Kubernetes, or serverless Deep understanding of ML fundamentals: optimisation, regularisation, evaluation metrics Experience with cloud ML services (SageMaker, Vertex AI, or Azure ML) Strong software engineering practices: version control, testing, CI/CD MSc or PhD in Computer Science, Machine Learning, or related field Nice … leave plus bank holidays. Stock option scheme and pension matching. Latest hardware (M-series MacBook Pro, GPU workstation access). About the Team Our AI Research team is a tight‐knit group of 8 researchers and engineers passionate about pushing the boundaries of applied AI. We publish at top venues ...

development of cloud‐based data lakehouse solutions for Planning & Analysis Guide and support data consumers in leveraging data products for analytics and planning Utilize AI‐assisted coding tools to accelerate development and optimize SQL Identify opportunities to embed AI into Planning & Analysis workflows Work with diverse data sets to support ...

consultancy team sitting alongside our Senior Consultants and reporting directly to the Director of Energy Advisory. You will work closely with our data and AI, cyber security and data protection teams, collaborating with in‐house solution architects and developers as required to design and maintain our digital tools. The role … error handling processing, analysis pipeline development and API integration. Strong MS Excel skills for economic and quantitative analysis and modelling. Practical experience using AI tools and techniques to improve analysis, automate delivery. JSON processing and manipulation. High degree of numeracy and confidence with data collection, processing and manipulation ...

building React applications using TypeScript, leveraging frameworks such as Next.js or Vite. GenAI Frameworks: Familiarity with tools like LangChain, LangGraph, CrewAI, or Vercel AI (in Python or JavaScript). LLM experience: Practical experience with Large Language Models (LLMs) such as OpenAI, Anthropic, Mistral, or Llama, and tools like Ollama. Cloud … delivers end‐to‐end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, cloud and data, combined with its deep industry expertise and partner ecosystem. The Group reported 2024 global revenues of €22.1 billion. #J-18808-Ljbffr ...

actuarial team throughout. Stack is Python and Azure, with a strong emphasis on engineering and MLOps standards. There's also scope to bring generative AI into the roadmap. You'll coach the data scientists and analysts in the team and feed into what gets prioritised. Key Skills Required Strong Python ...

better working world by creating new value for clients, people, society and the planet, while building trust in capital markets. Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow. EY teams … better working world by creating new value for clients, people, society and the planet, while building trust in capital markets. Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow. EY teams ...