76 to 100 of 713 LLM Jobs in the UK

Experience mentoring others and the communication skills to explain complex trade-offs to non-technical stakeholders. Bonus points: differential privacy or secure computation experience, LLM/agentic AI/frontier AI evaluation work, published research, or experience in regulated industries (insurance, financial services, public sector). Why join us Real ...

techniques, and algorithms with the right architecture, and begin to guide junior engineers on the project. You stay current with knowledge engineering, generative AI, LLM, and multi-modal models look for opportunities to apply them to the problem at hand. You design, evaluate, and maintain ontologies as needed. You help ...

techniques, and algorithms with the right architecture, and begin to guide junior engineers on the project. You stay current with knowledge engineering, generative AI, LLM, and multi-modal models; look for opportunities to apply them to the problem at hand. You design, evaluate, and maintain ontologies as needed. You help ...

part of a rapidly scaling Legal AI business Company is actively hiring and expanding its engineering team Work directly on production Generative AI and LLM applications Hands-on exposure to RAG, AI Agents and emerging AI technologies Significant technical ownership and influence Opportunity to contribute to AI architecture and engineering ...

experience building MCP servers, gateways or tool integrations. Python development, particularly FastAPI or similar frameworks. Experience with LangChain, LangGraph, LlamaIndex or comparable agent frameworks. LLM function calling, tool use and agent orchestration. API gateways, OAuth2, JWT and secure service-to-service communication. JSON-RPC, Server-Sent Events (SSE), WebSockets ...

techniques using structured testing and measurable success criteria. Understanding of AI evaluation approaches including eval harnesses, regression testing for non-deterministic outputs and LLM-as-judge techniques. Awareness of security, assurance and governance frameworks such as Secure by Design, DPIAs and data protection requirements. Reasonable Adjustments: Respect and equality ...

systems. Design scalable, secure and maintainable AI solutions in partnership with our Technology and Data Platform teams. Define and own evaluation frameworks for ML, LLM and GenAI outputs, covering accuracy, consistency, bias mitigation and regression testing, so that everything we release meets Chambers’ standards for rigour and independence. Establish production ...

Java, with a willingness to develop expertise and contribute to Java-based pipelines as needed Experience in using AI-based methods, such as NLP, LLM for efficient data processing Contract length: 13-month fixed-term maternity cover. We are ideally looking for a January 2027 start to allow ...

background alongside hands-on experience taking AI systems into production. Key experience includes: Production Python PyTorch, Hugging Face Transformers or similar Strong hands-on LLM experience RAG, vector search, prompting, tool use and agent orchestration Designing and running model evaluations Cloud deployment, containers and CI/CD Understanding AI attack ...

background alongside hands-on experience taking AI systems into production. Key experience includes: Production Python PyTorch, Hugging Face Transformers or similar Strong hands-on LLM experience RAG, vector search, prompting, tool use and agent orchestration Designing and running model evaluations Cloud deployment, containers and CI/CD Understanding AI attack ...

infrastructure as code already in place Requirements - 5+ years as an AI/ML engineer delivering NLP and ML models into production SaaS - Production LLM experience: RAG, fine-tuning, evaluation, monitoring - Strong Python, including building APIs and integrating models into applications - NLP frameworks such as Hugging Face Transformers, PyTorch, spaCy ...

delivery mindset Desirable Experience • MOD or defence delivery, including air-gapped or classified environments • Familiarity with MOD standards, information assurance and accreditation • AI/LLM engineering, including agentic workflows and evaluation • Data engineering and integration with complex customer data • AWS or Azure, GPU workloads or on-premise model serving Working ...

delivery mindset Desirable Experience • MOD or defence delivery, including air-gapped or classified environments • Familiarity with MOD standards, information assurance and accreditation • AI/LLM engineering, including agentic workflows and evaluation • Data engineering and integration with complex customer data • AWS or Azure, GPU workloads or on-premise model serving Working ...

automation expertise and familiarity with Git-based workflows. Experience with vulnerability management tools and endpoint telemetry/observability platforms. Experience supporting local AI/LLM developer tooling (e.g., Claude Code, Ollama, LM Studio) and GPU-accelerated workstations. Microsoft certifications related to Endpoint, Azure, or Security. Why Choose Fitch: Hybrid Work ...

bigger picture and plan how to architect and scale them successfully to serve our customers. Technologies we use (not exhaustive): Claude Code, with other LLM tools also available Python, Django, Go, React, RabbitMQ, Celery, MySQL, DynamoDB, Elasticache, Redis Amazon Web Services (EC2, RDS, Aurora, SQS etc.), Terraform, Kubernetes, Splunk, Buildkite ...

applications and automation solutions, working closely with technical and business teams. Key Responsibilities Develop and maintain AI and automation solutions. Build and support LLM and generative AI applications. Create integrations, workflows and AI-driven processes. Optimise prompts, models and system performance. Deploy and maintain cloud-based services. Troubleshoot issues ...

code. Strong experience across DevOps, cloud infrastructure and automated testing. Good understanding of software testing, quality engineering and automation. Exposure to AI/LLM-based systems and modern data platforms. Comfortable working in a fast-paced startup environment. Client Feedback: Required Skills & Experience Strong SDET and QA automation background. Hands ...

projects. What You'll Be Doing Contributing to the development of our internal AI platform Building AI-powered client solutions: RAG pipelines, agent architectures, LLM integrations, protocol-driven tooling Helping design internal AI tooling to accelerate delivery Supporting our upskilling programme with technical AI knowledge-sharing Keeping across emerging ...

Assess engagements - the prototype is the discovery tool, built while the value case is made Delivering client POCs and MVPs: RAG pipelines, agent architectures, LLM integrations and protocol-driven tooling (MCP, tool orchestration) Iterating in short loops: demoing every few days, taking feedback, changing course without ceremony Engineering for production ...

operating across multiple customer environments. Azure Monitor, Application Insights, KQL or OpenTelemetry. Multi-tenant architecture and tenant isolation. Deploying or operating AI and LLM-based services. Relevant Microsoft certifications, such as AZ-104, AZ-305 or AZ-400. We’ll fund relevant certifications you want to work towards. ...

high-throughput, big data, microservices environment. Experience delivering Agentic AI capabilities is also essential. This could include AI agents, autonomous workflows, LLM-powered applications, orchestration frameworks, RAG implementations or similar AI-driven product functionality. Strong stakeholder engagement skills are also important, as you'll regularly work with Product teams, engineering ...

through to robust, production-ready applications for enterprise clients. What you'll be doing: Build production applications and APIs using Python and FastAPI Develop LLM, RAG and AI agent solutions Build RAG pipelines covering embeddings, retrieval and generation Work with OpenAI, Anthropic, Mistral, Llama and similar LLMs Use LangChain, LangGraph … databases Experience with CI/CD using GitHub, GitLab or Jenkins Agile engineering experience Experience with AI agents, tool calling, embeddings, prompt engineering or LLM observability is beneficial React/TypeScript and Terraform/IaC experience is beneficial Experience taking GenAI POCs into production is highly beneficial Why this role ...

Company description We believe in the power of ingenuity to build a positive human future. As strategies, technologies, and innovation collide, we create opportunity from complexity. Our teams of interdisciplinary experts combine innovative thinking and ...

client engagements Translate technical results into clear business outcomes for client stakeholders What You'll Need Essential: Solid experience building and deploying ML or LLM solutions in production using Python and frameworks such as PyTorch, LangChain, LlamaIndex or Semantic Kernel Hands-on RAG experience including embeddings, vector databases … growing AI practice Interested? For a confidential conversation, connect with Justin Donaldson on LinkedIn or submit your CV via the link below. Skills: ML LLM Python CI/CD AI Architecture TLNT1 ...

someone who thrives in a fast-paced environment and wants to work on genuinely impactful AI technology. The Role: Build, evaluate and optimise LLM, agentic AI and computer vision systems Fine-tune and train custom AI models for specialist compliance applications Develop benchmarks, back testing frameworks and evaluation pipelines Implement ...