201 to 225 of 713 LLM Jobs in the UK

data reaches the platform, how clients connect to it, and what a good integration experience looks like * Define what good looks like for LLM-powered features: golden examples, evaluation criteria and regression expectations, set with the engineering team * Design for non-deterministic systems: managing hallucination risk, setting output-quality expectations ...

Chief Security Office from rule-based to AI-driven operation. It owns AI architecture and AI engineering end to end: the agent layer, LLM orchestration, the AI and ML platform, and the data fabric pipeline that CAS designs, builds and tests before a managed service vendor operates it. The team … with an engineering team attached. You will be setting agent authorisation models and trust boundaries where no industry precedent exists and deciding whether an LLM-based control is reliable enough to depend on for a security outcome in a GxP environment where the consequence reaches medicine supply and clinical data. ...

production AI/ML systems, with demonstrated ability to deliver advanced generative AI and ML solutions from concept through deployment Advanced generative AI and LLM experience – Extensive hands-on experience developing and integrating generative AI solutions, working with large language models, building agentic workflows, implementing RAG architectures, and integrating … autonomy MLOps and cloud-native infrastructure – Advanced expertise building ML infrastructure, sophisticated MLOps pipelines, model serving platforms, and optimizing cost/performance of production LLM deployments at scale Document and content management systems experience – Experience developing or integrating ML functionality for document management systems, content platforms, or document intelligence solutions ...

Our client is a leading British bank. Join Us as an AI Platform Engineer Shape the Future of AI at our client. We're excited to launch a groundbreaking initiative at our client - building a ...

existing machine learning solutions Build with AWS and Azure cloud computing services providing the necessary infrastructure, resources, and interfaces to enable data loading and LLM workflows. Use Python/Java and large-scale data workflow orchestration platforms e.g. Airflow to construct software artifacts for ETL, interfacing with diverse data formats … e.g. code quality considerations, automated testing, source version control, optimization) Prior experience working on building Gen AI frameworks and leveraging and/or finetuning LLM’s. Experience building/enhancing search and information retrieval systems Exposure/experience in containerization technologies like docker, Kubernetes, AWS EKS etc. Knowledge of popular ...

Full Stack Engineer - Generative AI About the Opportunity A leading technology-focused organisation is seeking a talented Full Stack Engineer to help design, build and scale innovative Generative AI solutions. This is an exciting opportunity ...

Our client is a digital and technology consultancy. Do not wait to apply after reading this description a high application volume is expected for this opportunity. About Us: Our client, part of our client, delivers ...

owning production incidents including detection, mitigation and rollback Strong Python, Go or Java fundamentals Experience mentoring engineers and influencing technical direction Desirable: Experience operating LLM or agent-based systems in production including LLMOps Direct experience partnering with data scientists on feature engineering or model training Master … confidential conversation about this opportunity, connect with Justin Donaldson on LinkedIn or submit your CV via the link below. Skills: Data Science LLM ML Ops Cloud Python Benefits: Equity TLNT1 ...

AI Engineering Manager Ocho People | Technology Recruitment At a Glance AI Engineering Manager role at one of the UK's leading AI and data businesses, trusted by major technology partners and delivering for government, healthcare ...

This job is with Invesco, an inclusive employer and a member of myGwork – the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. As one of the world's ...

The Opportunity A leading financial consultancy is seeking a Senior AI & ML Engineer to lead the design, development and deployment of cutting-edge AI, Machine Learning and Generative AI solutions. You'll play a key ...

ready Agentic AI and Generative AI solutions Leading architecture decisions across AI, data, cloud and MLOps environments Building multi-agent systems, RAG frameworks and LLM-powered applications Driving AI governance, observability and Responsible AI best practices Advising senior business and technology leaders on AI adoption strategies Mentoring engineers, data scientists … leaders who have successfully delivered enterprise AI solutions. Key experience includes: Essential Strong background in Agentic AI and Generative AI Experience building and deploying LLM-based applications in production Enterprise AI architecture and technical leadership experience MLOps/LLMOps expertise Strong engineering foundations with Python and cloud-native technologies Experience ...

human review. Design end-to-end RAG pipelines covering ingestion, chunking, embeddings, indexing and retrieval. Build and integrate APIs and backend services. Evaluate LLM quality, grounding and hallucinations, implementing appropriate guardrails. Handle failures, retries and workflow recovery. Implement monitoring, logging and tracing across AI applications. Deploy secure and scalable … solutions on Azure. Essential Experience Active SC clearance suitable for an MOD project. Strong production-grade Python software engineering. Hands-on GenAI, LLM and Agentic AI development. Strong LangGraph and RAG experience. Prompt engineering and structured LLM outputs. LLM/RAG evaluation, testing and hallucination mitigation. API and backend service ...

Responsibilities - Lead technical discovery sessions with customers to define real, solvable problems - Shape AI solution designs and take ownership of delivering them - Build LLM and agent-based workflows on the core platform - Define success criteria and evaluation approaches with customers up front - Manage expectations and surface issues early rather than ...

customer stakeholders What You'll Need Essential: - 8+ years building software or AI systems in production - Deep Python expertise and substantial hands-on large language model experience - Track record of shipping quickly in ambiguous, under-specified situations - Experience setting technical direction that other engineers then follow - Confident working directly with ...

Desirable/Nice to Have: Experience with identity, PKI, cryptography, authorisation, policy engines, workload identity or zero-trust architectures Experience building AI, agentic AI, LLM, MCP or machine-to-machine platforms Delivery under assurance regimes such as FIPS 140-3, Common Criteria, SOC 2, FedRAMP or eIDAS Why Apply? Competitive ...

such as GitHub, Copilot, Cursor, or similar Understanding of where AI adds value in the software development lifecycle Interest in emerging areas such as LLM APIs, RAG, or automation is beneficial but not essential If you're a developer who enjoys working across the full stack, solving challenging problems ...

help ensure the solutions being delivered address genuine business needs. This is not a generalist AI engineering position. Candidates whose experience is limited to LLM development, generic prompt engineering or AI experimentation, without the required NetDocuments and PatternBuilder experience, will not meet the core requirements. Working Arrangements Salary ...

experience, including DAX and data modelling. Commercial experience building web applications (front end and back end). Practical experience with current AI and LLM tooling, and an interest in agent-based applications. Comfortable in client-facing technical conversations, including with IT and security stakeholders. Able to balance supporting live clients ...

eligibility to obtain it Desirable Experience CISSP and/or CCSP certification ISO 42001 implementation, audit or certification experience Hands-on security testing of LLM applications or agentic AI systems Python or other scripting used in a security context Compliance-as-code or machine-readable compliance formats such as OSCAL ...

Head of Engineering – AI, MLOps & Cloud Platforms Salary: £120,000–£140,000 Permanent | Senior Engineering Leadership | National Security & Defence An exciting opportunity has arisen for an experienced Head of Engineering to join a growing technology ...

Strong experience with Microsoft Copilot/Copilot Studio Strong experience with Microsoft Power Platform and workflow automation Experience building and deploying production AI/LLM applications, agents or AI-powered workflows Experience with Azure OpenAI, Azure AI/AI Foundry or comparable AI platforms Understanding of agentic AI patterns, orchestration … tool use, prompt design and LLM limitations Strong API and systems integration experience, including REST and/or GraphQL Experience designing reusable services, connectors and integration components Microsoft Azure experience across services such as Functions, containers and AI services Strong CI/CD, Git and automated testing experience Experience with ...

Strong experience with Microsoft Copilot/Copilot Studio Strong experience with Microsoft Power Platform and workflow automation Experience building and deploying production AI/LLM applications, agents or AI-powered workflows Experience with Azure OpenAI, Azure AI/AI Foundry or comparable AI platforms Understanding of agentic AI patterns, orchestration … tool use, prompt design and LLM limitations Strong API and systems integration experience, including REST and/or GraphQL Experience designing reusable services, connectors and integration components Microsoft Azure experience across services such as Functions, containers and AI services Strong CI/CD, Git and automated testing experience Experience with ...

pipelines: embeddings, chunking strategy, vector search, context window engineering and tuning against real quality targets \n Integrate and abstract across multiple LLM providers — OpenAI, Anthropic, Vertex AI, and open-source models — with fallback routing, token, cost, and latency management \n Implement LLMOps in production: eval harnesses with real quality metrics … negotiable \n Demonstrated experience with agentic orchestration frameworks: LangGraph, CrewAI, AutoGen, or equivalent — at production depth, not tutorial level \n Direct experience calling LLM APIs (OpenAI, Anthropic, Vertex AI) in production code: provider abstraction, token management, latency and cost tradeoffs \n RAG pipeline ownership: embeddings, chunking strategy, vector databases ...

role for someone who still loves building, not a step into management. What you'll do Agentic and AI systems engineering Design and build LLM applications using modern orchestration patterns, prompt frameworks and evaluation loops Build multi-agent systems covering planning, delegation, tool use, safety constraints and monitoring Build retrieval … experience in life sciences, pharma or healthcare, FMCG or retail, insurance, or banking and financial services Deeper ontology or knowledge graph expertise Experience with LLM evaluation and observability tooling Strong engineers from non-AI backgrounds who have moved quickly into agentic AI and can show what they have built ...