251 to 275 of 7,385 AI Jobs in the UK excluding London

innovation. As a new joiner, you can count on this hybrid model to accelerate your learning and onboarding experience here at BlackRock. Guidance on AI use for candidates At BlackRock, AI has long been part of how we work enhancing decision-making, improving operations, and helping us deliver better outcomes … clients. We encourage candidates to use AI thoughtfully to learn, prepare, and work more effectively; but during our interview process, we want to focus on getting to know you through your own experiences, thinking, and judgment. To support you, weve provided guidanceon when and how to use AI during ...

innovation. As a new joiner, you can count on this hybrid model to accelerate your learning and onboarding experience here at BlackRock. Guidance on AI use for candidates At BlackRock, AI has long been part of how we work enhancing decision-making, improving operations, and helping us deliver better outcomes … clients. We encourage candidates to use AI thoughtfully to learn, prepare, and work more effectively; but during our interview process, we want to focus on getting to know you through your own experiences, thinking, and judgment. To support you, weve provided guidanceon when and how to use AI during ...

completing your application, ensure you clearly demonstrate how your experience and skills align with the criteria outlined for this position. We recognise that generative AI tools can be helpful in supporting applicants during the recruitment process, particularly for tasks such as proofreading, structuring, or refining written responses. However, we encourage … candidates to use AI responsibly and sparingly. Applications should reflect your authentic voice, personal experiences, and genuine qualifications. Over reliance on AI-generated content can result in generic or inaccurate submissions that fail to meet the criteria or convey your individuality. Misrepresentation of skills, knowledge, or experience, including through AI ...

completing your application, ensure you clearly demonstrate how your experience and skills align with the criteria outlined for this position. We recognise that generative AI tools can be helpful in supporting applicants during the recruitment process, particularly for tasks such as proofreading, structuring, or refining written responses. However, we encourage … candidates to use AI responsibly and sparingly. Applications should reflect your authentic voice, personal experiences, and genuine qualifications. Over reliance on AI-generated content can result in generic or inaccurate submissions that fail to meet the criteria or convey your individuality. Misrepresentation of skills, knowledge, or experience, including through AI ...

completing your application, ensure you clearly demonstrate how your experience and skills align with the criteria outlined for this position. We recognise that generative AI tools can be helpful in supporting applicants during the recruitment process, particularly for tasks such as proofreading, structuring, or refining written responses. However, we encourage … candidates to use AI responsibly and sparingly. Applications should reflect your authentic voice, personal experiences, and genuine qualifications. Over reliance on AI-generated content can result in generic or inaccurate submissions that fail to meet the criteria or convey your individuality. Misrepresentation of skills, knowledge, or experience, including through AI ...

optimization and other quantitative methods to support the Commercial and Investment Bank (CIB). The QTR Securities Services and Payments team applies cutting-edge AI/ML techniques to fundamentally transform the way we do business by enabling business revenue growth and efficiency within the CIB organization. Job Summary … will support the business in tackling their most technically complex business problems to optimize revenue and manage risks. This could range from developing AI/ML applications that make business-critical predictions such as client pricing, to handling vast data sets using the J.P.Morgan's Cloud capabilities or optimal hedging ...

findings and remediation actions required. Testing will be routine and adhoc and involve working on extremely large data sets, requiring use of tools and AI to maximise testing impact at scale. The role covers all regions excluding North America, with a primary focus on International Stores (Retail and Marketplace … additional testing plans based on outcomes of testing. Identify opportunities to enhance controls, monitoring approaches, and operational risk practices. Leverage and develop tools and AI to improve efficiency and enable assurance activities at scale. Consult with Tax Planning experts on indirect tax impact of findings identified during testing. ...

digital products. You will have strong experience on React with Python and Large Language Models (LLMs) to support and enhance our client's AI-driven initiatives. Beyond technical expertise, you will follow software engineering best practices, including codebase security, testing, and scalability of AI systems. This role requires someone … APIs to efficiently connect frontend applications with backend services. Work with business and technical stakeholders to turn requirements into technical solutions. Exposure to integrating AI capabilities into applications using agent frameworks and MCP concepts. Write high-quality code and carry out peer code reviews. Manage code using ...

digital products. You will have strong experience on React with Python and Large Language Models (LLMs) to support and enhance our client's AI-driven initiatives. Beyond technical expertise, you will follow software engineering best practices, including codebase security, testing, and scalability of AI systems. This role requires someone … APIs to efficiently connect frontend applications with backend services. Work with business and technical stakeholders to turn requirements into technical solutions. Exposure to integrating AI capabilities into applications using agent frameworks and MCP concepts. Write high-quality code and carry out peer code reviews. Manage code using ...

governed, interoperable data estate that enables self-service for our business teams and provides the trusted foundation for advanced analytics, machine learning and AI to accelerate change across our industry. This role is an opportunity to apply and develop your expertise in analytics engineering, data modelling and visualisation to build … peer review, knowledge sharing and team ceremonies, giving and receiving constructive feedback to improve solution quality. Use modern analytics engineering practices, automation opportunities and AI-assisted tools where appropriate to improve delivery quality and efficiency. Keep abreast of developments and trends in data, analytics and reporting technology. Manage own task ...

secure data platforms. You will leverage your expertise in Databricks, Apache Spark, and Azure to design, develop, and implement data warehouses, data lakehouses, and AI/ML models that fuel our data-driven operations.We are looking for a code first Data Engineer to design and build scalable and resilient data … into secure containerised environments. You will work across the full lifecycle from development through to production, shaping architectures that support operational users, analytics, and AI enabled capabilities.This role is hands on and engineering. You will write production grade code, contribute to secure platform patterns, and ensure that your data services ...

actuarial team and coordinating with the Data Science and Data Analytics Manager to support the business with proactive analytics and insights. Using generative AI to enrich insight and unlock new opportunities, deployed and maintained through the same MLOps patterns applied to traditional models. Engineering and MLOps standards Designing, building … data does not support. Desirable Insurance experience (specifically in the Lloyd's market), pricing or underwriting in a regulated environment. Practical experience deploying generative AI or LLM based solutions. Altogether, this role suits a hands-on data scientist who can own the full lifecycle from problem framing to production ...

expertise in Distributed Data Processing architectures (Spark, PySpark, Python, Airflow), ELT data processing underpinning Data LakeHouses and Data Products for scaled use within ML & AI Expertise in Streaming Data, Event Driven Design, Data Governance & the AWS Cloud Technology stack (e.g. Glue, ServerLess, DynamoDB) A track record in leading the architecture … vision, design & implementation of Enterprise scale data applications, with specific focus on Distributed Data Processing systems, Data LakeHouse, Data Products, Streaming data, ML & AI platform capabilities Working knowledge of ML and Generative AI, including the leverage of Agentic AI based systems within the Architecture and Software Development lifecycle Excellent communication ...

practices. Desirable Experience in travel, hospitality, marketplace, or consumer platforms. Familiar with pricing, demand forecasting, recommendations, or CLV modelling. Practical experience with LLMs, agentic AI workflows, or applied generative AI in a production setting. Experience with Microsoft Fabric, Azure ML, or equivalent cloud ML tools (e.g. AWS/Azure). … Interest in responsible AI, explainability, and governance. Forge Holiday Group Benefits Annual bonus scheme based on company performance 33 days’ holiday(including bank holidays), plus up to 5 extra with long service. Option to purchase extra holiday days if you wish. A day off for your birthday 2 volunteering days ...

team dedicated to building scalable and secure data platforms. You will leverage your expertise to design, develop, and implement data warehouses, data lakehouses, and AI/ML models that fuel our data-driven operations.* Design and build high-performance data pipelines: to extract, transform, and load data into Cloud Data … Lakes: Proven experience working with AWS data lakes on AWS S3 to store and process both structured and unstructured data sets* Build and deploy AI/ML models: Integrate Machine Learning into data pipelines, leveraging ML to develop predictive models and drive business insights.* Monitor and optimize data pipelines ...

planning Reservoir engineering and modeling Production engineering and optimization E&P data management and integration Cloud and platform infrastructure, data services, and developer tooling AI‐assisted analytics, search, and generative AI Technologies used vary by team and include: Languages such as Java, C#, F#, C++, Python, and TypeScript Frameworks, platforms … enterprise software, SaaS platforms, or technically demanding application domains (scientific computing, real‐time systems, large‐scale data) Exposure to integrating machine learning, generative AI, or LLM‐based components into application features Experience mentoring less experienced engineers Energy industry experience is not required but is a strong plus. We welcome candidates ...

Participate in architecture, solution-design and technical decision-making discussions. Mentor junior developers and support the development of a high-performance engineering culture. Use AI-assisted engineering tools responsibly to improve productivity, functionality and application performance. Ensure confidential information and proprietary code are protected while using AI-based tools. Stay ...

planning Reservoir engineering and modeling Production engineering and optimization E&P data management and integration Cloud and platform infrastructure, data services, and developer tooling AI-assisted analytics, search, and generative AI Technologies used vary by team and include: Languages such as Java, C#, F#, C++, Python, TypeScript, and Fortran Frameworks … Background in technically complex or scientifically demanding application domains (distributed systems, scientific computing, real-time systems, large-scale data) Experience integrating machine learning, generative AI, or LLM-based components into production systems Experience contributing to open-source projects, or integrating open-source components at scale. Energy industry experience ...

Able to write quality, testable code and has experience of automated testing Experience with Continuous Integration and Continuous Deployment techniques A Keen interest in AI Technologies DESIRABLE REQUIREMENTS : Experience of performance tuning Experience of data visualisation and complex data transformations Experience with steaming and event-processing architectures including technologies such … Kafka and change-data-capture (CDC) products Expertise in continuous improvement and sharing input on data best practice Practical experience with AI technologies, tools, processes and delivery Embracing our differences At Kainos, we believe in the power of diversity, equity and inclusion. We are committed to building a team that ...

support of the firm’s business objectives. You will work on challenging Cloud-native data, backend engineering and AIML engineering, helping us industrialize AI/ML models at Production scale. This role is a technical hands-on Engineering role. Experience with data science/ML modeling is advantageous … skills Experience with data, AWS and AIML engineering in commercial settings, preferably in financial sector Experience working on recommendation systems, LLM applications or other AI/ML systems Practical experience with Kubernetes, EKS, Docker, MLOps Prior exposure to LLMs, RAG, Knowledge Graph Technologies, OpenSearch and vector databases Prior experience collaborating ...

industry-standard practices Advise cross-functional teams on technological matters within your domain Apply knowledge of tools within the Software Development Life Cycle, including AI-assisted development and automation Enhance automation at scale to improve value and efficiency Lead architectural decisions and engineering practices across multiple teams Collaborate with stakeholders … enterprise scale Expertise in Python and/or PySpark Knowledge of software application development and technical processes, with depth in disciplines such as cloud, AI/ML, or data engineering Experience in large-scale data processing, microservices, API design, Kafka, Redis, MemCached, observability tools (Dynatrace, Splunk, Grafana), and orchestration frameworks ...

industry-standard practices Advise cross-functional teams on technological matters within your domain Apply knowledge of tools within the Software Development Life Cycle, including AI-assisted development and automation Enhance automation at scale to improve value and efficiency Lead architectural decisions and engineering practices across multiple teams Collaborate with stakeholders … enterprise scale Expertise in Python and/or PySpark Knowledge of software application development and technical processes, with depth in disciplines such as cloud, AI/ML, or data engineering Experience in large-scale data processing, microservices, API design, Kafka, Redis, MemCached, observability tools (Dynatrace, Splunk, Grafana), and orchestration frameworks ...

Connector (KCC). Networking & Protocols: Knowledge of core systems and networking concepts (TCP/IP, UDP, HTTP, DNS, load balancing, and messaging protocols). AI & Agentic Engineering: Forward-thinking approach to automation, leveraging Generative AI and Agents (e.g., Gemini) to optimize platform operations. Analytical Problem-Solving: Data-driven mindset ...

grow toward senior-level responsibilities, gain exposure to architectural thinking, and work with cutting‐edge technologies, including Microsoft Foundry as part of emerging AI-driven capabilities. Candidates should apply if they’re looking for a role that blends hands‐on engineering, problem-solving, continuous learning, and meaningful contribution to client … outcomes within a high-performing Data & AI business unit. A Data Engineer is responsible for several key activities: Design, build, and maintain scalable, secure, and high performing data pipelines using Azure Data Factory, Synapse, Fabric Pipelines, or Databricks Integrate data from multiple systems into Azure Data Lake Storage or OneLake ...

Working with Data Engineers, Data Scientists, and Platform Teams* Technical documentation and knowledge transfer* Agile delivery experience**Desirable Skills*** POSIT/RStudio migration experience* AI/ML and LLM integration* RAG and Vector Database exposure* Regulated industry experience## **We are a Disability Confident Employer:**Capgemini is proud … delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fuelled by its market leading capabilities in AI, cloud and data, combined with its deep industry expertise and partner ecosystem. The Group reported 2023 global revenues of €22.5 billion.Ref. code555203-en\\_GBPosted on11 ...