1 to 25 of 536 LLM Jobs in the UK

platforms such as AWS, Azure ML and GCP AI Services. This role offers the opportunity to work on cutting-edge technologies in Generative AI, LLM fine-tuning, agentic orchestration, and vector databases, while shaping impactful consulting solutions across industries like Banking, Finance, and Capital Markets. Your Role As a Senior ...

other regulated industries Exposure to vector databases (e.g. Pinecone, Weaviate, FAISS) Experience with MLOps/LLMOps and deploying models into production Familiarity with LLM fine-tuning, evaluation, or guardrailing techniques Experience building internal tools such as copilots or knowledge assistants What's on Offer Salary up to £75,000 depending ...

infrastructure-as-code tools Relational and non-relational databases Amazon Bedrock, Sagemaker, Vertex AI Datadog, Databricks, MLFlow, Grafana, OTel Claude, Gemini, ChatGPT, open-weight LLM models Terraform, Docker, K8s RMDBs, Graph DBs, Vector DBs Claude Code Github (and Github actions) Benefits Competitive salary 25 days’ annual leave + bank holidays ...

trading ERP systems . Hands-on experience with platforms such as Azure ML Studio, Palantir Foundry, or Databricks Mosaic . Familiarity with NLP, LLM deployment, agent-based AI (MCP, A2A, N8N), and advanced RAG architectures . Roles and Responsibilities: Lead the end‐to‐end development, deployment, and delivery ...

Python or similar) Cloud platforms (AWS/GCP/Azure) Containerisation and orchestration tools Infrastructure as code Observability and ML tooling Modern AI/LLM frameworks Relational and non-relational databases Version control and CI/CD tooling Benefits Competitive salary 25 days’ annual leave + bank holidays Sick ...

include: Cloud platforms such as **AWS, Azure or Google Cloud** Data platforms including **Databricks, Snowflake or BigQuery** Python and modern ML frameworks Generative AI, LLM integration and RAG pipelines MLOps tooling and modern ML lifecycle management. The profile Experience designing enterprise AI or data platforms in complex technology environments. ...

Kubernetes based deployments, GPU compute infrastructure. Working knowledge of Generative AI and hands on experience in deploying and hosting Large Foundational Models. Experience with LLM architecture (e.g., Transformer, GANs, VAEs), Fine-tuning, Retrieval Augmented Generation techniques and Context embedding, Vector database technologies and Semantic Search techniques & tools. Experience in writing ...

Kubernetes based deployments, GPU compute infrastructure. Working knowledge of Generative AI and hands on experience in deploying and hosting Large Foundational Models. Experience with LLM architecture (e.g., Transformer, GANs, VAEs), Fine-tuning, Retrieval Augmented Generation techniques and Context embedding, Vector database technologies and Semantic Search techniques & tools. Experience in writing ...

software engineering, or data engineering. Programming experience (especially Python) Experience writing clean, maintainable Python code. Applied AI experience such as exposure to LLM APIs (OpenAI, Azure OpenAI, Anthropic, etc.) and experience with small personal or internship projects building agents or AI-driven workflows. Agentic frameworks in Python is a plus ...

Responsibilities Lead client discovery sessions and pre-sales activities, proposal creation, identifying technology and AI opportunities and defining project scope Proven GenAI and LLM expertise, from RAG and fine-tuning to observability, focused on driving measurable business outcomes Advise on technology and architecture decisions, balancing cost, risk, and performance Advising ...

translate models into production grade features with clear integration contracts and deployment workflows Establish standards for responsible AI, including evaluation criteria, privacy guardrails, and LLM output validation AI Transformation & Productivity Leadership Scale AI driven development workflows across teams, ensuring engineers leverage AI coding tools effectively Guide team architects and coach ...

JIRA Bonus points for: Knowledge/experience working with Cloud, preferably AWS Knowledge of AI/ML and latest AI trends & technologies Familiarity in LLM frameworks and libraries such as LangChain, Langfuse, LiteLLM CI/CD/Docker/Kubernetes Soft skills: Agile/SCRUM Strong technical, problem solving ...

scoped service accounts; integrate BeyondCorp for zero trust access Operationalise observability using Cloud Logging, Cloud Monitoring, Error Reporting, Trace, and Profiler; build model/LLM telemetry dashboards and alerts Identify the right AI/ML frameworks, cloud services, model orchestration tools, and infrastructure components that align with business needs ...

what we build actually matters. Key objectives Research and develop multimodal AI technologies that improve the way people work with sound Build and optimise LLM-powered audio pipelines and extend our Qwen-based vision model for audio production use cases Identify opportunities to apply the latest advances in generative ...

pipelines-from feature engineering and preprocessing to deployment ready model outputs Apply advanced techniques such as NLP, time series forecasting, anomaly detection, optimisation, or LLM/GenAI methods where relevant Implement model evaluation frameworks using offline metrics, cross validation, online experiments, and human in the loop feedback loops Communicate insights ...

continuously improve outputs Optimising models and prompts for latency, cost, and quality across different providers What We’re Looking For Experience building applications using LLM APIs, with a strong understanding of their strengths and limitations Hands-on experience with RAG architectures, vector databases, and prompt engineering Experience developing multi-step ...

CrewAI - not just conceptual Agentic Coding Tools: Claude Code CLI, Cursor, OpenAI Codex, Copilot RAG & Vector Stores: Chroma, Weaviate, Pinecone, know where RAG breaks LLM APIs & SDKs: Anthropic, OpenAI, Gemini - prompt design, tool use Python/TypeScript: Primary languages for agent + backend development LangSmith/Observability: Tracing, evaluation, debugging ...

Engineer: Lead end‐to‐end delivery of scalable, resilient AI/ML pipelines aligned to business goals. Build and deploy advanced ML, DL, and LLM solutions, including RAG, agentic architectures, and evaluation frameworks. Mentor engineers in ML engineering, orchestration, and modern AI best practices. Communicate system behaviours, risks, and outcomes ...

experience would be awesome. Strong collaboration skills across engineering, product, and AI teams. Bonus Points If... You have experience building AI-powered applications with LLM integrations. You’ve worked in high-performance startups or enterprise AI environments. You have a sharp eye for UI/UX design and have built ...

digital therapeutics, or regulated healthtech Deployed LLMs or predictive models in production environments Familiarity with FHIR, HL7, or secure health data pipelines Hands-on LLM work: prompt engineering, RAG, fine-tuning (LoRA/QLoRA) The Package Competitive salary + meaningful equity Work directly with and be mentored by two highly ...

Power BI/dashboard developer role Not an insight, reporting or MI position Not a modelling, ML or research-focused role Not an LLM, AI or advanced data science role While you may work alongside analysts and data scientists, this role does not centre on: Building dashboards Producing insights ...

regulatory and governance frameworks (HIPAA, 21 CFR Part 11).* Exposure to RWE, biomarker discovery, or trial optimization.* Experience with agentic AI or LLM orchestration in Life Sciences.* Familiarity with platforms such as AWS, Azure ML, Databricks, foundation‐model platforms (e.g., ChatGPT, Claude), or modern code/AI tooling.## ## ...

Extensive experience (10+ years) in senior technology leadership roles within digitally enabled, platform‐driven, or media‐led environments Hands‐on experience with AI and LLM platforms (e.g. Claude, GPT), including an understanding of capabilities, trade‐offs, and enterprise adoption Working knowledge of Model Context Protocol (MCP) and agentic AI architectures ...

Extensive experience (10+ years) in senior technology leadership roles within digitally enabled, platform-driven, or media-led environments Hands-on experience with AI and LLM platforms (e.g. Claude, GPT), including an understanding of capabilities, trade-offs, and enterprise adoption Working knowledge of Model Context Protocol (MCP) and agentic AI architectures ...

Extensive experience (10+ years) in senior technology leadership roles within digitally enabled, platform-driven, or media-led environments Hands-on experience with AI and LLM platforms (e.g. Claude, GPT), including an understanding of capabilities, trade-offs, and enterprise adoption Working knowledge of Model Context Protocol (MCP) and agentic AI architectures ...