101 to 125 of 3,036 AI Jobs in the UK excluding London

innovation company helping people live longer, healthier lives. We partner with life sciences organisations which include, pharmaceutical, biotech and healthcare leaders, to build transformative AI and data driven technologies addressing real-world health challenges. From strategy and research to UX design and agile development, we deliver and validate impactful solutions … environment where bold ideas thrive and make a measurable difference in people’s lives. Your Mission We are hiring Forward Deployed Engineers who treat AI as the substrate of how software gets built—not a tool to be cautious of, not something they are "exploring," but the medium they work ...

underpinned by technology created with purpose. We’re looking for GenAI/Agentic Engineers who want to shape the future of Machine Learning, Generative AI and Agentic AI. You will be tasked with building and deploying intelligent systems that combine cutting-edge models, agentic frameworks, and full-stack engineering … solve real business problems. If you’re excited by rapid prototyping, scaling AI products into production, and using technology to make a tangible impact, this is your place to do it. YOUR ROLE In this position you will play a key part in: Designing, developing, testing, and deploying both front ...

Title: Senior Manager- (Quantexa) Tech Lead Service Line: Data & AI – KPMG At KPMG, our Data & AI practice is a fast-growing and strategic capability. We combine technical implementation with deep domain understanding to deliver high-impact solutions for our clients. Within this space, Quantexa plays a critical role in enabling … platforms. Degree or Master's qualification in Computer Science, Data Engineering, or related field. Why Join Us? As part of our rapidly growing Data & AI team, you’ll have the opportunity to work on cutting-edge Quantexa projects, helping clients unlock the full value of contextual data. You’ll also ...

with business requirements Configure and customize Salesforce applications including Service Cloud Marketing Cloud Pardot Marketing Cloud Account Engagement Data Cloud Agent force capabilities and AI powered automations Develop and maintain Apex classes triggers Lightning Web Components LWC and Salesforce Flows Design and implement REST and SOAP API integrations with external … backup and recovery solutions including tools such as Odaseva Work with Salesforce Data Cloud for customer data unification segmentation and integrations Support implementation of AI driven Salesforce solutions using Agent force and Einstein capabilities Collaborate with business stakeholders product owners architects and functional teams to gather and translate requirements into ...

+ Benefits We're looking for an experienced Data Engineer to join a growing technology team delivering modern data platforms and AI-driven solutions. This is an excellent opportunity to work on large-scale data engineering and machine learning projects using the latest cloud technologies. The Role You'll design … doing: Design and build scalable data pipelines using Python, SQL, Spark and Databricks. Develop, deploy and optimise machine learning models, including NLP and generative AI solutions. Build data ingestion pipelines across batch and streaming environments. Design data models and implement best practices for governance and data quality. Work with DevOps ...

design, develop and optimise data solutions using Microsoft Fabric and Azure , enabling clients to make smarter decisions, modernise legacy estates and accelerate analytics, reporting, AI and machine learning initiatives. As part of my clients Groups Data & AI practice , youll work across a variety of projects shaping architectures, building scalable pipelines … Azure SQL , and related services. Ensure solutions meet standards for reliability, maintainability, security and performance. Collaboration & platform enablement Work closely with Power BI developers , AI specialists , and wider delivery teams to build platforms that support analytics, reporting and operational workloads. Design semantic models and optimise data structures for performance ...

mission to close the world's tech skills gap. We help organisations navigate the future of technology, combining human expertise, emerging tech and AI to deliver better outcomes, faster. Since 2014, we've worked side-by-side with clients to solve complex challenges, build high-performing teams, and create lasting … position as a leader in the data industry, we are seeking a Data Principal (hands on Architect) to lead the local Data & AI Practice and expand our Data capability. This pivotal role supporting the local club leadership requires a balance of leading on client, leading the data practice proposition ...

diverse range of clients productionise machine learning using Open Source MLOps. We exist to help our customers harness and channel the power of AI safely and effectively, to make positive change and use AI for good. Our work sits across the whole development lifecycle, from prototyping new machine learning models … greater than the sum of parts: we are a team, one that isn’t just us but our customers and our community. Positive impact: AI is going to change the world. We choose to use it for good and leave a positive legacy. A typical day You’ll work within ...

data to identify trends, risks and opportunities; collaborating with stakeholders to deliver actionable business insights; Supporting automation initiatives using Microsoft Power Platform; Contributing to AI-enabled analytics and modern data solutions Ensuring data accuracy, governance and reporting standards are maintained. What You'll Need to Succeed: Degree qualification in Data … Return Competitive salary and benefits package Opportunity to work on high-profile transformation projects Exposure to modern analytics, automation and AI technologies Ongoing professional development and career progression: Collaborative and supportive working environment. Chance to make a meaningful impact through data-driven business improvement: What You Need ...

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 ...

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. What You Will Bring Design and build high-performance data pipelines: to extract, transform, and load … seamlessly move data from source systems to Data Warehouses, Data Lakes, and Lake Houses using Open Source and cloud tools. 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 and infrastructure ...

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 ...

Aioi R&D Lab - an AI tech hub in one of the fastest-growing insurance companies. We research and develop AI systems that catapult insurance from a slow-moving, traditional past into a data-driven, technology-lead and society-defining future. We’re looking for dynamic, driven professionals like … trade-offs clearly to non-specialists. Desirable Experience architecting and designing complex distributed software systems for cloud environments. Experience developing and deploying machine learning, AI or data-driven systems in production or near-production settings. Technical Lead and/or Line Manager experience. Why Join Us? We're committed ...

everyday life and will be part of your working reality. We havebuilt a representative and welcoming environment, for everyone. About Capgemini Capgemini is an AI-powered global business and technology transformation partner, delivering tangible business value. We imagine the future of organisations and make it real with AI, technology ...

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 … Dagster or Prefect. Data Quality and Lineage Familiarity with tools and techniques for data testing, documentation and lineage. Examples include Great Expectations or dbt. AI and MLOps Understanding of how to operationalise machine learning models in production, including model packaging, monitoring and controlled deployment. Containerisation and Kubernetes Confidence deploying applications ...

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 ...

standards, accessibility, and development best practice Bonus: Building microservices in C# Experience building solutions that integrate with LLMs using tools such as Vercel AI, Langchain etc. Using the GOV.UK Design System and using Nunjucks WHAT YOU'LL LOVE ABOUT WORKING HERE: We are delighted to have received the “Glassdoor Best … 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. ...

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 … 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 2023 global revenues of €22.5 billion. ...

certifications such as CCSP, CISSP, CISM, GICSP DesireDD Degree in Computer Science, Engineering, Information Systems, or a related discipline. Experience/familiarity with AI/ML platforms or infrastructure. Knowledge of edge computing, fog computing, cloud integration, and hybrid deployment models. Cloud certifications (AWS, Microsoft Azure, or Google Cloud). ...

AI Technical Lead | Staff Software Engineer | Forward Deployed Engineering Team Lead | Principal AI Engineer Bristol | London | Manchester | Cambridge (Hybrid - 2 Days Per Week Onsite) £80,000 - £130,000 + Bonus + Comprehensive Benefits Build the Future of Enterprise AI 167 Solutions is partnering with a rapidly growing global technology organisation … that is investing heavily in its UK AI Engineering capability. With an established international engineering team of over 50 software and AI engineers , this is an opportunity to help shape the next generation of enterprise AI platforms, intelligent software and agentic systems being deployed into some of the world ...

Apprentice AI Engineer, you will be at the frontier of our product capability designing and building autonomous, goal-directed AI agents that can reason, plan, and act across complex workflows. Role Agentic AI Development Design, build, and iterate on agentic AI workflows — autonomous systems that can plan, reason, and execute … multi-step tasks. Integrate LLMs and AI orchestration frameworks (e.g., LangChain, AutoGen, CrewAI, or equivalent) into BFT's product ecosystem. Develop agent tool integrations, memory systems, and feedback loops to improve agent performance over time. Collaborate with the AWS Engineer to deploy and scale agentic systems on cloud infrastructure. Collaborate ...

solutions. The role oversees the current SQL Server data warehouse environment while driving the evaluation and adoption of modern cloud-based and Artificial Intelligence (AI)-enabled analytics platforms. Working closely with global stakeholders and technology teams, the role supports platform modernisation, scalability, data quality, and insight delivery. This role reports … Ensure Business Intelligence platforms are secure, scalable, reliable, and aligned with business needs. Lead the Business Intelligence modernisation strategy, including cloud adoption, Artificial Intelligence (AI), machine learning, and intelligent automation initiatives. Define and communicate technology roadmaps, recommendations, and business cases for platform improvements. Act as a senior escalation point ...

world\'s most influential companies. As a Platform Engineer - Senior VP at JPMorgan Chase within the International Private Bank (IPB) Technology Artificial Intelligence and Machine Learning (AIML) Team, you will design and own the platform, tooling, and infrastructure that our agentic AI and machine learning products depend on. … services running. This is a Senior VP-level role and an integral part of the IPB Tech AIML team, reporting to the Head of AI, IPB Tech. Job responsibilities Owns the design and build of the team\'s platform: deployment pipelines, model serving, containerisation, orchestration, and environment management Sets ...

largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. About the job you're considering As a Salesforce AI Engineer, you'll design, build and ship AI features on the Salesforce platform for some of the world's leading organisations. Working across industries including … Financial Services, you'll spend most of your time hands-on, building autonomous agents, connecting large language models to enterprise data, and getting AI systems running reliably in production. This is an engineering role, not a configuration one. As Salesforce grows into a serious AI platform, you'll be building ...

AI Solution Architects & Technical AI Leaders Manchester | Hybrid AI Solution Architect- Financial Services (Hybrid) Join a leading consulting and technology firm shaping enterprise AI and GenAI strategy for major banking clients - moving AI beyond proof of concept into secure, production-grade deployment. The role: - Design AI and GenAI architecture strategies … roadmaps - Build scalable AI/ML and Agentic AI platforms - Work across LLMs, RAG, embeddings and semantic search - Support AI deployment, governance and integration patterns - Collaborate with engineering, data, DevOps and business teams - Advise clients on AI platform capability and implementation strategy Tech environment: Python · LLMs (prompt engineering, fine-tuning ...