551 to 575 of 710 LLM Jobs in the UK excluding London

About Atos GroupAtos Group is a global leader in digital transformation with c. 56,000 employees and annual revenue of c. 7.2 billion (at the go-forward perimeter), operating in 54 countries under two brands ...

hackajob is partnering directly with Atos to hire for this role. About Atos Group Atos Group is a global leader in digital transformation with c. 56,000 employees and annual revenue of c. 7.2 billion ...

Datatech Analytics is seeking a Data Scientist to join a global leader in supply chain risk and compliance tech. Cardiff-based, hybrid work with 3 days in the office, allowing collaboration with data science, data ...

Ready to work on innovative products and emerging technologies? A forward-thinking technology company is looking for a Software Developer to join its Research and Development team. This opportunity offers exposure to AI, cloud technologies ...

Quanta Group is a next-generation financial services Group, responsible for assets under advice of around £17bn and nearly 75,000 clients across platform, DFM and advice. Quanta Group provides a full wealth management service ...

A Senior Engineer (Ruby on Rails) is required to join one of our clients, who are transforming the automotive space. You will havedeep expertise in architecting, developing, and scaling full-stack web platforms, particularly within ...

Overview Machine Learning Research Engineer – NLP/LLM An incredible opportunity for a Machine Learning Research Engineer to work on researching and investigating new concepts for an industry-leading, machine-learning software company in Cambridge, UK. This unique opportunity is ideally suited to those with a Ph.D. relating to classic ...

value from large-scale customer feedback data. With strong growth, expanding enterprise clients, and significant investment in AI, they are building innovative NLP and LLM-powered products that drive measurable business impact. The Role You will develop and deploy advanced NLP and GenAI solutions across the full ML lifecycle.Key responsibilities … Build and improve models for information extraction, retrieval, re-ranking, and sentiment analysis. Fine-tune language models and optimise LLM performance. Design and evaluate experiments to improve product outcomes. Develop production-ready machine learning solutions. Work with agentic AI systems and modern NLP architectures. Collaborate closely with Product, Engineering ...

Role You will take ownership of product development, helping to build and scale an AI-powered platform from an early stage.Responsibilities include: Building LLM-enabled products and features used by enterprise customers Designing and developing backend services, APIs, and platform capabilities Owning RAG workflows and AI application architecture Managing evaluation … frameworks, testing, monitoring, and quality standards Optimising LLM performance, scalability, and cost efficiency Working closely with product leadership and customers to shape the roadmap Establishing engineering best practices across development and deployment Your Skills & Experience Strong experience as a Product Software Engineer Proven track record building and shipping an LLM ...

learning, engineering or a related discipline, or equivalent practical experience. Strong Python programming and software-engineering skills. Experience developing machine-learning, generative AI or LLM applications. Practical experience with PyTorch, JAX, TensorFlow or a similar framework. Understanding of agentic AI concepts such as tool calling, planning, memory and workflow orchestration. … model evaluations and translating research ideas into reliable software. Desirable Experience developing multi-agent systems using LangGraph, AutoGen, smolagents or similar frameworks. Experience with LLM fine-tuning, DPO, GRPO, PPO, RLHF or RLAIF.Experience designing reward functions, graders or agent training environments. Experience with Model Context Protocol and tool integration. Experience ...

learning, engineering or a related discipline, or equivalent practical experience. Strong Python programming and software‐engineering skills. Experience developing machine‐learning, generative AI or LLM applications. Practical experience with PyTorch, JAX, TensorFlow or a similar framework. Understanding of agentic AI concepts such as tool calling, planning, memory and workflow orchestration. … evaluations and translating research ideas into reliable software. Desirable Experience Experience developing multi‐agent systems using LangGraph, AutoGen, smolagents or similar frameworks. Experience with LLM fine‐tuning, DPO, GRPO, PPO, RLHF or RLAIF. Experience designing reward functions, graders or agent training environments. Experience with Model Context Protocol and tool integration. ...

Duties and Responsibilities Lead the design, development, deployment and lifecycle management of AI-powered tools and workflows, including data-wrangling pipelines,visualisationapplications, agentic AIsolutionsand LLM-integrated tools.Ensuresolutions are maintainable, adopted byusersand deliver measurable scientific value. Lead the development and evolution of data infrastructure and data standards for the discovery group … EssentialRequirements Demonstrated experience leading complex computational or AI initiatives from concept through implementation,deploymentand adoption within a scientific environment. Demonstrable experience usingagentic AI frameworks, LLM integration or AI-assisted coding toolssuch asGitHub Copilot, Claude Code or similar in a research or production context. Demonstrableexperience developing and deploying tools ...

Engineering to build and scale the product from the ground up. Key responsibilities include: Building and shipping AI-powered products end-to-end using LLM technologies. Owning and scaling the retrieval-augmented generation (RAG) and AI application layer. Developing secure, production-grade systems including guardrails, evaluation frameworks, monitoring, caching … engineering best practices around testing, delivery, architecture, and code quality. YOUR SKILLS AND EXPERIENCE: You will bring strong capability in: Building and scaling production LLM-enabled products from 0-to-1. Full-stack software engineering with strong backend expertise. Product ownership, architecture, and independent decision-making. Modern technologies including TypeScript ...

Join Kainos and Shape the Future At Kainos, we're problem solvers, innovators, and collaborators - driven by a shared mission to create real impact. Whether we're transforming digital services for millions, delivering cutting-edge ...

Founded in 2012, LADbible Group is redefining entertainment and news for a social generation. Our global community engages with our content–spanning editorial, video, documentary and live – we reach 1 billion people each and every ...

service. Serving these safely, securely and at scale needs a dedicated engineering owner. We need to evolve our current Claude, Gemini and other frontier LLM deployments into a coherent, safe and effective strategic deployment platform. You are not coming in to write a strategy deck. Pace and learning … includes: AI safety for internal use : sandboxing, policy, integrations, MCP governance, usage guardrails and monitoring expectations. The three platform pillars : control, monitoring and sandboxing (LLM and MCP gateway, anonymisation, local hardening, sandboxed cloud agent hosting); agentic workflow orchestration (a "software factory" in the cloud with hybrid self-serve and engineering ...

JPMorganChase is seeking a Lead Software Engineer to own AI-powered software initiatives from discovery to production. You will design and build intelligent systems with large language models, expose capabilities via APIs and microservices, and ...

scaling a production-grade AI product from the ground up Designing and developing APIs and backend services that power enterprise customer integrations Owning the LLM application layer, including retrieval-augmented generation (RAG) workflows Improving model performance, reliability, evaluation frameworks, monitoring, and cost optimisation Working across the stack to deliver customer … Engineer will have the following skills and experience: Strong commercial experience as a Product Software Engineer or Software Engineer Experience building and scaling an LLM-enabled product from concept through to production Strong backend engineering expertise, ideally within API-first products Experience with Node.js and TypeScript, or a proven ability ...

AI SOFTWARE ENGINEER £60,000 - £85,000 (dependent on level/experience) Tankersley, South Yorkshire- Hybrid (3 days on-site, 2 days from home) C#/.NET | Modern JavaScript | SQL Server & PostgreSQL | AI Tooling | Cloud ...

FULL STACK SOFTWARE ENGINEER £45,000 - £70,000 (dependent on level/experience) Nottingham - Hybrid (3 days on-site, 2 days from home) C#/.NET | Modern JavaScript | SQL Server & PostgreSQL | AI Tooling | Cloud THE ...

AI SOFTWARE ENGINEER £60,000 - £65,000 (dependent on level/experience) Newcastle- Hybrid (3 days on-site, 2 days from home) C#/.NET | Modern JavaScript | SQL Server & PostgreSQL | AI Tooling | Cloud THE ROLE ...

Principal .NET Software Engineer Department: Development Employment Type: Full Time Location: Farnborough Description We are seeking a Principal AI Lead to define and drive the technical strategy for AI capabilities across the Infor MES platform ...

Make your mark for patientsWe are looking for a Principal Computational Methodologist who is curious, collaborative, and impact-driven to join our Advanced Methods and Data Science team within Biometrics and Data Science, based in ...

engineers. Key Responsibilities * Lead the development and deployment of AI-powered tools to improve efficiency and productivity * Design advanced solutions including automation, RAG, and LLM-based workflows * Collaborate with stakeholders to identify and deliver strategic AI initiatives that deliver measurable business value * Provide guidance on AI architecture, tooling, and technology … engineering, or software engineering (e.g. Python, Java, JavaScript/TypeScript etc.) with libraries/frameworks such as PyTorch, TensorFlow etc.) * Experience with RAG and LLM-based solutions * Solid understanding of AI architectures and data pipelines * Knowledge of security, compliance, and governance principles from a development perspective * Proven mentoring and team ...

user stories Drive innovation in methodologies by leveraging advanced analytics, technology, and industry best practices Identify and evaluate opportunities to apply AI/LLM-enabled capabilities (where appropriate) to improve decisioning, efficiency, control effectiveness, and user experience Influence key stakeholders throughout the product lifecycle (ideation/prototyping through delivery … negotiation skills, with a track record of building cross-functional relationships Preferred qualifications, capabilities, and skills Innovation mindset; interest and knowledge of AI/LLM landscape and tools experience in CCOR Familiarity with data analytics platforms/technologies and innovation approaches in Compliance and Operational Risk Intellectual curiosity; strong critical ...