76 to 100 of 463 LLM Jobs in England

Overview: As we move into 2026, we have multiple opportunities with leading global financial services institutions based in the UK. These roles offer more exposure to cutting-edge technologies and projects within fast-paced environments ...

LLMs), and you will assess model-generated responses across diverse topics to ensure they are accurate, well-reasoned, and safe. Evaluate Response Quality: Assess LLM-generated responses to ensure they effectively answer user queries. Rigorous Factchecking: Use trusted public sources to verify claims and spot "hallucinations" (factual errors). Analyze ...

LLMs), and you will assess model-generated responses across diverse topics to ensure they are accurate, well-reasoned, and safe. Evaluate Response Quality: Assess LLM-generated responses to ensure they effectively answer user queries. Rigorous Factchecking: Use trusted public sources to verify claims and spot "hallucinations" (factual errors). Analyze ...

LLMs), and you will assess model-generated responses across diverse topics to ensure they are accurate, well-reasoned, and safe. Evaluate Response Quality: Assess LLM-generated responses to ensure they effectively answer user queries. Rigorous Factchecking: Use trusted public sources to verify claims and spot "hallucinations" (factual errors). Analyze ...

monitoring models in production Strong understanding of neural networks, CNNs, RNNs, LSTMs, and transformers Experience building automated data pipelines Hands-on experience with LLM tooling and libraries (e.g., Hugging Face Transformers/PEFT, tokenisers, spaCy or similar) Experience shipping NLP systems: prompt engineering, fine-tuning (e.g., LoRA/PEFT), vector ...

Strong background in Java programming and modern Java frameworks Proven experience with AI technologies such as: Claude Code, GitHub Copilot, MCP (Model Context Protocol), LLM (Large Language Models) Track record of implementing AI solutions in production environments Experience working in financial services (desirable) Strong collaboration and communication skills What ...

architecture , particularly in designing and implementing end-to-end AI solutions in a commercial environment (not limited to just LLMs). LLM Focus: Solid understanding of RAG patterns, model orchestration, prompt design, and guardrails . Platform Flexibility: Experience evaluating and implementing model families across Azure and non-Azure environments. Broad ...

years in deep learning (shipped models, research papers, or major OSS). Domain Depth: Hands-on expertise in VLMs , Diffusion/Generative Video , or LLM Pre-training . Frameworks: Mastery of Python and PyTorch or JAX . Systems: Experience with distributed training and complex numerical debugging. Randstad Technologies ...

years in deep learning (shipped models, research papers, or major OSS). Domain Depth: Hands-on expertise in VLMs , Diffusion/Generative Video , or LLM Pre-training . Frameworks: Mastery of Python and PyTorch or JAX . Systems: Experience with distributed training and complex numerical debugging. Randstad Technologies ...

logs, metrics, incidents, post-mortems, cloud cost ownership, AI cost optimisation Nice-to-Have SAP-style enterprise integration (IDocs, BAPIs, Integration Suite patterns) Production LLM/agentic systems with guardrails and reliability practices What we offer Private health insurance Pension plan Central working location Hybrid working Casual dress code Stocked ...

Agent Development Kit (ADK) . Multi-Agent Ecosystems: Design architectures that support Agent-to-Agent (A2A) communication, orchestration, and collaboration across diverse business functions. LLM Strategy & RAG: Define model selection, fine-tuning strategies, and build Retrieval-Augmented Generation (RAG) pipelines to ensure contextual accuracy and reduced hallucinations. Context Engineering: Establish ...

methods. Help prepare communication materials and support discussions with senior client leaders and technical teams. Contribute to shaping AI strategies and supporting delivery of LLM-based and data-science-driven solutions. Operate across multiple industries and functions. Develop others by bringing your unique knowledge and skillsets to the wider practice. ...

countries within key global markets. We are looking for Engineering Tech Leads with strong expertise in Data Engineering, OpenShift Telemetry, Kafka, Splunk, and LLM‐based observability . This role will lead the design and build of enterprise‐scale telemetry and observability platforms Key Responsibilities: Design, build, and optimize large‐scale ...

systems end-to-endfrom research prototypes to secure, observable, scalable production systems. You will set engineering standards across AI projects, lead technical design, guide LLM orchestration, and drive platform relia click apply for full job details ...

with working with clients throughout the development and project lifecylce Bonus Points Unreal Engine development experience, ideally with C++ Understanding of how to intergrate LLM powered chatbots into immersive training or simulation projects Networking or data-driven application experience What's in it for you Technical decision-making authority Work ...

/TypeScript and/or Python . Proven experience using and extending Visual Studio Code (extensions, integrations, workflows). Familiarity with AI developer tools, LLM APIs, and agent frameworks (e.g., OpenAI, LangChain, Hugging Face). Ability to build and explain end-to-end demos using modern dev tooling and workflows ...

Azure Devops, Azure App Centre, Service Bus Explorer, SSMS and agile software development process/practices and other productivity tools AI-driven development/LLM/Azure Document Intelligence Elastic Search/Kibana/ELK Stack Azure DevOps YAML, Terraform Interested? If you feel you have the skills and qualities ...

complex analyses and advanced machine learning methods. Communicate and provide guidance to senior client leadership and teams. Shape AI Strategy and the delivery of LLM based solutions. Operate across multiple industries and functions. Develop others by bringing your unique knowledge and skillsets to the wider practice. ...

responsible use What We’re Looking For Strong experience in software engineering (Python and/or other backend languages) Hands-on experience building LLM-enabled or AI-assisted systems Solid understanding of APIs, system integration, and secure data handling Experience working in financial services, fintech, or other regulated environments Ability ...

Principles Thinker: You don't just glue libraries together. You understand why things work. Whether you write the code yourself or review what an LLM generated, you can spot the race condition in the database lock or the inefficiency in the HTTP request immediately. You treat AI as a Force ...

years of commercial experience Are already hands-on with TypeScript, React, and Python Have solid software engineering fundamentals Are interested in AI/LLM-powered features and keen to build real-world experience Enjoy building, shipping, and learning rather than just talking about tech Bonus (not essential): Exposure to infrastructure ...

reduce financial crime at a global level. About the Role You’ll join as a Founding AI Engineer, designing and scaling production-grade LLM systems that power automated due diligence workflows used by financial institutions operating across multiple regions. Key Responsibilities Design and evolve core AI agent frameworks used ...

them Ability to think like both a builder and an attacker Cloud-native experience (containers, Kubernetes, modern infrastructure) Interest in AI/GenAI/LLM security (commercial experience preferred, not essential) No prior financial services experience is required. Engineers from big tech, scale-ups, and high-growth startups are strongly ...

data pipelines that ingest provider APIs into our analytics datastore Improving the agent platform and executor with better error handling, observability, and speed Making LLM interactions more efficient through prompts, snippets, and tooling Improving internal developer experience and platform tooling Helping take an early MVP into a production-grade platform ...

where progress is visible and expected. What You’ll Bring Strong Python experience building and running ML systems in production. Hands-on work with LLM or VLM-based systems, including evaluation and optimisation. Solid Docker skills and experience deploying containerised services. A builder mindset — you’ve shipped things ...