1 to 25 of 639 Permanent LLM Jobs in the UK

agent behaviours, defining secure, scalable solution architectures. Build and maintain AI components (e.g. RAG, classification, recommendation, summarisation) using Python and modern ML/LLM frameworks. Implement end-to-end MLOps pipelines for development, testing, deployment and monitoring of Copilot and AI solutions, and deploy them into production environments (e.g. Microsoft ...

working systems AI Engineering capability (essential) All engineers in this team are expected to meaningfully apply AI in production systems, including: Building and deploying LLM-based applications in production environments Designing agentic workflows and multi-step AI systems Implementing RAG (Retrieval-Augmented Generation) pipelines Working with OpenAI or Anthropic APIs ...

deliver innovative AI solutions that solve real business challenges. You will be responsible for designing scalable systems, integrating AI and Large Language Model (LLM) technologies, and developing production-grade applications that drive measurable business value. The role offers the opportunity to explore emerging AI technologies, build custom AI assistants … grade software applications. Strong understanding of distributed systems, APIs, microservices architecture and secure software design. Experience integrating AI, Generative AI and Large Language Model (LLM) technologies into live production environments. Experience designing scalable, resilient and maintainable software architectures. Strong knowledge of cloud-native development and modern software engineering practices. Experience ...

business stakeholders Required Background & Skills Strong software engineering background with backend development expertise Strong Python experience and cloud-native development Experience integrating AI/LLM technologies into real-world applications Experience building scalable production systems Understanding of APIs, distributed systems, microservices, and system design Experience with cloud platforms such ...

10+ years of professional software engineering experience with ownership of production systems 3+ years of hands‐on experience building and deploying AI/LLM‐based systems in production (agents, RAG pipelines, orchestration) Strong experience designing and delivering cloud‐native systems, including APIs, microservices, containers, and serverless or event‐driven architectures ...

background with proficiency in Python. Experience with API development using FastAPI, Flask, or Django. Knowledge of Docker and containerized deployments. Hands-on experience with LLM models such as OpenAI GPTs, Claude, Gemini, LLaMA, or Mistral. Expertise in applying prompt engineering techniques to improve model performance and reliability. Experience in implementing ...

delivery through reusable assets, frameworks, and documentation. Champion observability, monitoring, versioning and telemetry to ensure trustworthy and auditable AI agents. Stay current on RAG, LLM/SLM advancements, Agentic AI tooling, vector/graph databases, retrieval optimizations, multi-modal systems, evaluation frameworks, GPU/Infra trends, fine tuning techniques, security ...

continuous UK residency) Desirable Experience Experience with Agentic frameworks such as LangChain, CrewAI, Autogen, or OpenAI Agents Familiarity with RAG pipelines, MCP, and LLM evaluation tools like LangSmith or TruLens Knowledge of software engineering best practices, including Clean Code (SOLID), TDD, and modular architecture Experience building AI-specific UX patterns ...

Senior AI Engineer/AI Engineering Consultant/Generative AI Consultant/Senior Machine Learning Engineer/AI & ML Consultant/MLOps Engineer/LLM Engineer/AI Engineering Consultant/Senior AI Engineer/Generative AI Engineer/AI Solutions Architect/Data & AI Consultant/AI Solutions Consultant ...

APIs, tooling, and bespoke logic Architecture & Standards Architect robust, scalable, and compliant Agentic AI solutions across industries Lead multi-agent orchestration, RAG pipelines, and LLM/SLM integration design Champion observability, telemetry, and auditable AI standards Build and maintain reusable frameworks and asset libraries Team & Product Help build and guide ...

Develop and deploy machine learning models for: Prediction Classification Automation Insight generation Support the full life cycle from experimentation through to production Generative AI & LLM Applications Develop AI-powered solutions using large language models (LLMs) Apply prompt engineering and context engineering techniques Build use cases such as: Chatbots Document processing ...

mentor engineers within a collaborative team Your Responsibilities Lead technical delivery across machine learning and MLOps engagements Design, build, and deploy ML models and LLM-based solutions Develop and optimise pipelines for model training and deployment Work across cloud and high-performance computing environments Act as a subject matter expert ...

mentor engineers within a collaborative team Your Responsibilities Lead technical delivery across machine learning and MLOps engagements Design, build, and deploy ML models and LLM-based solutions Develop and optimise pipelines for model training and deployment Work across cloud and high-performance computing environments Act as a subject matter expert ...

architecting and shipping production-grade AI systems, not producing slide decks about them. ────────────────────────────── WHAT YOU'LL BE DOING ────────────────────────────── 🔧 Technical Architecture • Designing end-to-end LLM and RAG systems integrated into complex enterprise workflows • Deploying and optimising models on AWS Bedrock, Azure AI Foundry, and self-hosted GPU infrastructure (vLLM, SGLang ...

financial services (banking, capital markets, insurance, or fintech) to design, build, and scale Gen AI-powered data platforms. This role combines modern data engineering, LLM/AI integration, and financial domain expertise to deliver enterprise-grade solutions across use cases such as: Risk analytics & fraud detection Regulatory compliance automation Document … pipelines using LLMs (Open AI, Azure Open AI, Anthropic) Develop RAG architectures with vector databases (Pinecone, FAISS, Azure AI Search) Optimize LLM outputs using prompt engineering, embeddings, and evaluation techniques Build AI solutions for document processing, compliance, and banking chatbots Develop scalable data pipelines using Spark, Databricks, Snowflake, and cloud ...

automated evaluation systems such as LLMasJudge and hybrid scoring approaches. based testing, regression suites, multi turn agent simulations, and automated evaluation systems such as LLM as Judge and hybrid scoring approaches/li , li Build, refine, and maintain frameworks that assess model quality, robustness, performance, safety, explainability, and reliability ...

Microsoft Azure Familiarity with message queues (Kafka, RabbitMQ) Exposure to Real Time systems or high-frequency data processing Nice to Have Experience with LLM APIs (eg, OpenAI, open-source LLMs) Knowledge of vector databases (FAISS, Pinecone) Experience with Kubernetes and container orchestration Contributions to open-source or strong GitHub profile ...

deployment approaches Drive high-quality engineering practices across testing, deployment, monitoring, and optimisation Tech environment Key technologies include: Python Azure Databricks Generative AI/LLM frameworks Agentic AI tooling and orchestration frameworks LangChain/LangGraph PyTorch and ML libraries REST APIs Docker and containerisation CI/CD pipelines Git-based ...

across digital sports media platforms. * Collaborate with product, data, and engineering teams to deliver AI-driven features and audience engagement tools. * Build and optimise LLM-powered applications, recommendation systems, and intelligent content workflows. * Develop and maintain robust data pipelines and model deployment infrastructure. * Implement monitoring, evaluation, and governance processes ...

Linked Data. Experience with graph databases or triple stores such as GraphDB, Stardog, Neo4j, Amazon Neptune, or Blazegraph. Experience with embeddings, vector databases, RAG, LLM-based enrichment, or knowledge graph completion. Experience with MLOps tools such as Docker, Kubernetes, MLflow, Weights & Biases, Airflow, or similar. Experience with ...

AI Engineer Location: London (Hybrid - 2-3 days per week onsite) Salary: £80,000 - £120,000 + Benefits Type: Permanent About 167 Solutions 167 Solutions is a specialist technology recruitment consultancy connecting organisations with exceptional ...

maintain analytical models using Python, SQL and cloud-based data platforms • Apply machine learning, AI and statistical techniques to business challenges • Work with NLP, LLM and Generative AI technologies where appropriate • Validate data, perform testing and ensure analytical output quality • Monitor model performance and support ongoing optimisation and governance • Contribute ...

interest in emerging Agentic and GenAI ecosystems, such as: Agent and orchestration platforms (e.g. Microsoft Copilot Studio, Adept AI, UiPath, Orby AI, Beam AI) LLM-based solution design, prompt engineering and tool integration Building AI agents that can plan, reason, and interact with systems or users Applying large language models ...

mindset; comfortable with ambiguity Clear communicator — written and verbal — with a genuine team-player attitude AI-Enabled Skills (Essential at CL9) Demonstrated use of LLM-based coding assistants to improve productivity, code quality, or test coverage Familiarity with prompt engineering concepts and applying them in a development context Awareness ...

tooling in a language such as Python, Go, Java, TypeScript, or similar. Comfortable using modern AI-assisted engineering workflows, including agentic coding tools and LLM-based automation. Familiarity with concepts such as MCP servers, tool-calling, RAG/vector search, embeddings, and AI-assisted platform operations. Working knowledge of databases ...