451 to 475 of 7,109 AI Jobs in the UK excluding London

Chemify is revolutionising chemistry. We are creating a future where the synthesis of previously unimaginable molecules, drugs, and materials is instantly accessible. By combining AI, robotics, and the world's largest continually expanding database of chemical programs, we are accelerating chemical discovery to improve quality of life and extend … services in your area: scoping, architecture, development, deployment, and monitoring production. Design data models and workflows covering a wide range of use cases across AI chemistry, synthesis, and manufacturing. Build and maintain robust, observable pipelines for internal, client-specific, and literature data. Work directly with chemists and operations staff ...

drives emerging-technology innovation from early signals to real-world impact by scouting technology and market trends and then maturing capabilities such as Industrial AI, Digital Twins, robotics, simulation, visualization, and edge-to-cloud technologies through hands-on technical evaluation, experimentation, and rapid prototyping. The CT Office Incubation Team turns … help build end-to-end prototype solutions (UI, APIs, data integration, and cloud/edge deployment) to test new concepts in Digital Twins, Industrial AI, robotics, simulation, and visualization. You'll work in small, fast-moving, multidisciplinary teams, collaborating with engineers, researchers, product and solution specialists, and industrial domain experts. ...

/Hybrid – Office two+ days per week We’re hiring data engineers who want to take ownership in a fast-scaling startup About Clariti AI Clariti AI is a B2B SaaS company providing price optimisation software to retail banks. We help banks make pricing decisions on products like mortgages … This is an exciting time to join the company, with a growing set of clients in the UK and Ireland. After recent successes, Clariti AI has built a very promising pipeline of new clients, with revenues expected to increase significantly in the next year. The company is bootstrapped ...

firmware, Windows desktop applications, software architecture, and measurement and data-analysis algorithms, leveraging cutting-edge technologies and the latest advancements in software engineering and AI/ML/DL. You will partner closely with hardware, systems, product, and global engineering teams to deliver high-quality products on schedule. Responsibilities: Lead … roadmapsPartner with globally distributed teams across the US, Europe, and Asia on system integration, software releases, and shared engineering best practicesChampion responsible adoption of AI/ML and AI-assisted development tools under company security policies, remove obstacles, and foster root-cause analysis and continuous improvement in process and product ...

secure, high-quality production code; review and debug code written by others to ensure reliability, performance, and maintainability. Drive team adoption of enterprise-authorized AI-assisted engineering practices to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, accelerated test strategy, incident/root … while enforcing consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective patterns. Apply SDLC toolchain knowledge—including enterprise-authorized AI-assisted development and automation capabilities—to increase the value and impact of automation. Identify recurring issues and lead efforts to eliminate root causes or automate ...

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 ...

business needs. It is still early days for this platform, with plenty of challenging and interesting problems to work on. How will I use AI at Roku? At Roku, AI agents do most of the keystroke-level coding. Engineers act as the technical leads for those agents — setting architecture, reviewing … diffs, debugging failures, and validating that every change meets Roku's quality bar. If you've already shipped features where an AI agent wrote the initial code and you steered it to production, we want to talk to you. At Roku, we're embracing AI as a powerful tool ...

rounded developer in the process. You will have experience with Python, React, and Large Language Models (LLMs) to support and enhance our clients 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 … requirements into technical solutions. Build and integrate REST APIs using clean and maintainable architecture patterns. Design and optimise PostgreSQL databases, queries and migrations. Integrate AI capabilities into applications using agent frameworks and MCP concepts. Write high-quality code and carry out peer code reviews. Create and maintain unit and integration ...

wider organisation Work with other members of the Digital Biology Team to deliver a unified strategy Stay at the cutting edge of bioinformatics, AI/ML for biotech, computational biology, and industry standards What We’re Looking For Strong background in bioinformatics, computational biology, or a related quantitative discipline … data (transcriptomics, proteomics, metabolomics) : from raw data QC and processing through to differential analysis, integration across data types, and biological interpretation Mechanistic modelling and AI/ML pipeline development experience : building, training, and validating models that generate testable biological hypotheses, and understanding when a mechanistic, data-driven, or hybrid modelling ...

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 ...

rounded developer in the process. You will have experience with Python, React, 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 … requirements into technical solutions. Build and integrate REST APIs using clean and maintainable architecture patterns. Design and optimise PostgreSQL databases, queries and migrations. Integrate AI capabilities into applications using agent frameworks and MCP concepts. Write high-quality code and carry out peer code reviews. Create and maintain unit and integration ...

rounded developer in the process. You will have experience with Python, React, 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 … requirements into technical solutions. Build and integrate REST APIs using clean and maintainable architecture patterns. Design and optimise PostgreSQL databases, queries and migrations. Integrate AI capabilities into applications using agent frameworks and MCP concepts. Write high-quality code and carry out peer code reviews. Create and maintain unit and integration ...

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. ...

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 ...

risks, trade‐offs and opportunities for improvement Contribute to CI/CD and automated testing practices Help modernise and evolve established software products Use AI‐assisted development tools, including GitHub Copilot and code‐generation/testing tools, where they add genuine value Evaluate and adopt relevant technologies, frameworks and cloud … C++ development and migrating existing code into modern technologies AWS, Azure or Google Cloud Platform Building or maintaining CI/CD pipelines AI‐assisted development tools such as GitHub Copilot Modernising desktop applications and improving UI/UX Performance optimisation of complex applications Strong analytical and problem‐solving skills ...

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 ...

Science, Software Engineering, or a related discipline. Agile Scrum certification. Experience working successfully with globally distributed development teams. Strong awareness and practical understanding of AI technologies and modern AI-assisted development tools. Knowledge of cloud-native architectures, microservices, and modern cloud platforms. What Success Looks LikeDelivering high-quality software solutions ...

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 ...

come to us when they need their engineers, graduates and technology leaders to be measurably better at something — building software, working with data, using AI in production, or moving a whole engineering organisation to a new standard. We are not a content house. Our work is designed and quality-assured … client’s head of engineering why our approach will work. What you will actually work on Recent and current engagements, anonymised: An enterprise-wide AI enablement programme for a global investment bank — from executive literacy through to engineers building agentic workflows in their own stack. A multi-track systems-analyst ...

their clients. Working closely with Principals and Heads of, the role will embed best practice, innovation and a joined-up approach to technology and AI as a core enabler of the firm's strategy. Develop and deliver a firm-wide data and analytics strategy aligned to firm goals. Advise … clients. Act as the primary point of contact for data initiatives, ensuring clarity of scope, outcomes and alignment with the firm's technology and AI roadmap. Ideally you will have the following skills: Proven experience in a senior data analytics or data management leadership role. Advanced proficiency in Power ...

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 ...

solutions that support business performance and future growth. You'll join a collaborative team at the centre of the firm's digital, data and AI transformation, helping to build scalable data products while influencing how data is utilised across a leading international law firm. Why Join DAC Beachcroft? Be part … significant investment in data, analytics and AI capabilities. Play a key role in building and shaping a modern Microsoft Fabric data platform. Work with complex, high-value data sets across an international professional services business. Access ongoing professional development and certification support. Benefit from flexible and hybrid working options through ...

Python and solid grounding in statistics/experimental design. Experience with recommender systems, personalisation, or ranking techniques is highly desirable. Exposure to LLMs, Generative AI, or conversational AI products is a strong plus given current market demand. Comfortable taking an unclear business problem and shaping it into a scoped data ...