276 to 300 of 461 LLM Jobs in England

We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to ...

We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to ...

We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to ...

We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to ...

We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to ...

We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to ...

We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to ...

support a large-scale enterprise Generative AI and Agentic AI programme. This is production delivery, not experimentation. You’ll be building and deploying LLM-powered systems, autonomous agents, and enterprise copilots that are actively used across complex organisations. The programme is multi-client, long-term funded, and designed to scale. … Responsibilities Design and deliver Agentic AI solutions aligned to real business workflows Build and orchestrate autonomous agents with planning, reasoning, and tool use Develop LLM-driven systems including RAG, Q&A, and enterprise copilots Integrate GenAI into existing platforms, products, and processes Own delivery end-to-end: design through ...

We are looking for an experienced Service Operations Engineer . Responsibilities: • Responsible for planning the server or rack, arranging the server mounting or rack installation, and following up the installation of the server operating system ...

Machine Learning Engineer Location: York - Hybrid Working Contract: Permanent Salary: £70,000 We're looking for a talented and pragmatic Machine Learning Engineer to join a growing Data Science team. This is an exciting opportunity ...

JD: The role requires an experienced systems engineer with strong technical leadership and collaboration skills. The ideal candidate will have significant experience in cloud platform management, infrastructure delivery pipelines (e.g. Azure, AWS, GCP, scripting in ...

Solution Engineer £Up to £65,000 GBP Up to 10% Bonus Hybrid WORKING Location: Central London, Greater London - United Kingdom Type: Permanent Join a globally recognised technology group consistently ranked among Britain's Most Admired ...

LLM, RAG & Agentic AI Engineer – Insurance Sector Occasional travel client offices and two trips to London HQ per month Role Overview Lead the design and delivery of AI-native transformation initiatives for insurance clients, spanning agentic systems, retrieval architectures, semantic layers and decision intelligence. This is a senior, hands … Consulting Engineer is a hands-on AI systems builder who combines engineering depth with commercial and product thinking to design, build and deploy LLM- and agent-driven solutions for insurers, brokers and value chain partners. You will work directly with senior insurance stakeholders (Claims, Underwriting, Operations, IT, Risk, Compliance, Actuarial ...

engineering fundamentals alongside classical data science skills. This is a great opportunity for a generalist data scientist who wants ownership, variety, and exposure to LLM use cases in a commercial environment. Key Responsibilities Research and prototype new data science and LLM-driven use cases to support commercial and strategic decision … technically strong, mid-level data scientist with a solid grounding in core data science principles and a growing interest in modern NLP and LLM-based systems. You enjoy working end-to-end, writing clean, production-ready code, and taking ownership of your work. Around 3 years’ experience in a hands ...

multi-year transformation. Following an award-winning data programme, the company now has an established AI function and is investing further in LLM-powered assistants, RAG pipelines, voice/chat intelligence and early agentic workflows across both customer-facing and internal products. This Senior AI Engineer role is a hands … grounded. The role spans the full AI lifecycle, from data preparation and model evaluation through to deployment and optimisation. Key responsibilities • Lead development of LLM and AI proof-of-concepts • Design and implement RAG pipelines and agentic workflows • Define evaluation frameworks for LLM quality and response accuracy • Partner with product ...

solving real-world problems with measurable social impact. The Role As a Senior AI Engineer, you’ll design, build and deploy advanced NLP and LLM-based solutions, taking models from research through to production. You’ll work closely with AI, data, MLOps and product teams to translate business and regulatory … role for someone who enjoys owning outcomes, balancing experimentation with real-world delivery. What You’ll Be Doing Designing and developing NLP and LLM-driven solutions for complex, real-world use cases Fine-tuning and adapting foundation models using domain-specific data Building evaluation frameworks, prompt testing tools and data ...

scale. Sitting at the core of AI delivery, you will design, build, and operate the runtime, infrastructure, and operational layers supporting RAG pipelines, LLM orchestration, vector search, and evaluation workflows across AWS and Databricks. Working closely with senior AI engineers and product teams, you'll ensure AI systems are scalable … scope of responsibilities detailed below: Own and evolve the AI platform powering conversational assistants and generative AI products. Build, operate, and optimise RAG and LLM-backed services, improving latency, reliability, and cost. Design and run cloud-native AI services across AWS and Databricks, including ingestion and embedding pipelines. Scale ...

Senior Machine Learning Engineer - London Join the analytics team as a Machine Learning Engineer in the insurance industry, where you'll design and implement innovative machine learning solutions. This permanent role in London offers an ...

Senior Machine Learning Engineer - London Join the analytics team as a Machine Learning Engineer in the insurance industry, where you'll design and implement innovative machine learning solutions. This permanent role in London offers an ...

mission-driven startup redefining personalized healthcare. By leveraging rich voice and text data, you will build and fine-tune machine learning models and LLM-integrated APIs. Your work will bridge the gap between cutting-edge AI and human care to empower providers and patients. Location: London, UK or Helsinki, Finland … with significant stock options and the chance to lead R&D efforts. What you will do: Develop and prototype new machine learning systems and LLM applications using unique proprietary healthcare datasets. Fine-tune existing models to optimize performance for specific clinical contexts and secure API integrations. Collaborate with cross-functional ...

machine learning, with considerable in-depth knowledge in implementing solutions using AWS. Deep understanding of AI/ML solutions implementation, with emphasis on LLM applications and retrieval-augmented generation. Practical cloud-native experience, specifically with AWS (compute, storage, networking, IAM, KMS, observability). Experience with RAG-based semantic search … LLM inference workflows using OpenAI and Claude models. Expertise in modern SDLC and DevOps: CI/CD (e.g., Jenkins/GitLab), infrastructure as code (e.g., Terraform/CloudFormation), automated testing, and SRE practices. One Team Lead also required to lead the team of 4 who can demonstrate a background ...

machine learning, with considerable in-depth knowledge in implementing solutions using AWS. Deep understanding of AI/ML solutions implementation, with emphasis on LLM applications and retrieval-augmented generation. Practical cloud-native experience, specifically with AWS (compute, storage, networking, IAM, KMS, observability). Experience with RAG-based semantic search … LLM inference workflows using OpenAI and Claude models. Expertise in modern SDLC and DevOps: CI/CD (e.g., Jenkins/GitLab), infrastructure as code (e.g., Terraform/CloudFormation), automated testing, and SRE practices. One Team Lead also required to lead the team of 4 who can demonstrate a background ...

Overview We are looking for a highly skilled Cybersecurity Consultant with strong expertise across Microsoft Security , Cloud Security , Data Protection , and emerging AI/LLM security and governance . The role focuses on identifying security gaps, defining secure-by-design patterns, supporting product and platform teams, and strengthening enterprise security … cryptography, key management, secrets management, HSM/Key Vault configurations , and cloud network security (Firewalls, proxies, segmentation). Drive secure integration of AI/LLM tools , including Copilot, Azure OpenAI, and agentic systems-ensuring proper guardrails, risk assessments, and data protection. Participate in cloud monitoring, detection & incident response , working with ...

Job Details Role/Job Title: AI/ML Architect Work Location: London Mode of Working: Hybrid Office Attendance (Hybrid): 2 days from office Number of Positions: 4 The Role An AI/ML Developer ...

strong software engineering fundamentals? Have you deployed AI models into production—not just trained them? Want to work on agentic systems, RAG pipelines, and LLM-powered tools? We're working with a high-growth GenAI consultancy building real-world, production-grade AI applications. With a team of 50+, the company … architecture to production deployment, collaborating with cross-functional teams and mentoring other engineers. Key Responsibilities Build and deploy scalable AI tools using Python and LLM APIs Design end-to-end agentic and RAG-based solutions for enterprise use Own delivery from proof-of-concept through to production Work with cloud ...