151 to 175 of 2,337 LLM Jobs in England

documented code. Experience developing and deploying machine learning, AI or data‐driven systems in production or near‐production settings. Experience with generative AI systems, LLM‐enabled applications or evaluation pipelines. Experience with cloud platforms, MLOps tooling, model serving or platform engineering. Advanced use of Linux, Docker, version control, CI/ ...

including review boards, guardrails, standards, and alignment to delivery, regulatory, and audit requirements. Agentic and AI-enabled architecture: Lead designs that incorporate GenAI and LLM platforms for example Claude, OpenAI, Gemini or equivalent alongside agent orchestration and tool use and design scalable AI and ML solutions aligned to business goals ...

Fabric, modelling tools.Workforce analytics — understanding of core P&C metrics and how to interpret people data.Generative AI and LLMs — prompt engineering, applied use of LLM tools, and an understanding of responsible AI in a sensitive data context.Automation tooling — knowledge and experience with platforms such as Power Platform, Power Automate ...

graph and keyword search, with reranking and embedding‐model selection), knowledge bases, knowledge graphs and ontologies, agentic workflows and skills, evaluation methods (eval harnesses, LLM‐as‐judge, groundedness and faithfulness metrics, tracing), and model risk controls. Experience building secure, scalable and reliable AI solutions in enterprise environments, including governance, permissions ...

record of developing data science solutions using NLP and Generative AI techniques, including text classification, summarisation, entity extraction, embeddings, retrieval-augmented generation (RAG) and LLM-enabled workflows Strong programming expertise in SQL, Python and PySpark, applying software engineering best practices such as code readability, version control, testing and reproducibility Experience ...

client-facing engineering role Telco or Financial Services experience is a strong value add Set yourself apart Open source contributions to agentic or LLM tooling Personal projects demonstrating production AI engineering outside of employment Contact centre platform experience (e.g. Genesys, Sierra, Decagon, Parloa, PolyAI, NICE Cognigy, Agentforce Contact Centre ...

learning — knowledge in building and applying supervised and unsupervised models to real business problems.Generative AI and LLMs — prompt engineering, RAG, and applied use of LLM tooling in an analytical context.Automation tooling — experience with platforms such as Power Platform, Power Automate, or equivalent.Responsible AI — experience applying fairness, explainability, and governance principles ...

learning — knowledge in building and applying supervised and unsupervised models to real business problems.Generative AI and LLMs — prompt engineering, RAG, and applied use of LLM tooling in an analytical context.Automation tooling — experience with platforms such as Power Platform, Power Automate, or equivalent.Responsible AI — experience applying fairness, explainability, and governance principles ...

you. What you'll be doing Building and evolving commercial applications using C#, .NET and modern web technologies Designing and integrating Generative AI/LLM functionality directly into software products Working with technologies such as OpenAI, Azure OpenAI, Claude, Gemini or local models Exploring RAG, AI agents, Semantic Kernel ...

you. What you'll be doing Building and evolving commercial applications using C#, .NET and modern web technologies Designing and integrating Generative AI/LLM functionality directly into software products Working with technologies such as OpenAI, Azure OpenAI, Claude, Gemini or local models Exploring RAG, AI agents, Semantic Kernel ...

you. What you'll be doing Building and evolving commercial applications using C#, .NET and modern web technologies Designing and integrating Generative AI/LLM functionality directly into software products Working with technologies such as OpenAI, Azure OpenAI, Claude, Gemini or local models Exploring RAG, AI agents, Semantic Kernel ...

you. What you'll be doing Building and evolving commercial applications using C#, .NET and modern web technologies Designing and integrating Generative AI/LLM functionality directly into software products Working with technologies such as OpenAI, Azure OpenAI, Claude, Gemini or local models Exploring RAG, AI agents, Semantic Kernel ...

human in the loop. Advanced modern JavaScript/TypeScript, NodeJS and React. Web development principles (REST, SPA...). Microservice architecture, AWS and DevOps. Building LLM-powered features: tool-calling, retrieval-augmented generation (RAG), evaluation/eval harnesses and observability (desirable). Familiarity with model-agnostic tooling and routing, e.g. ...

modern MLOps practices. Commitment to people development: mentoring, performance conversations, and building high‐performing teams. Bonus: experience with NLP on financial contracts, RAG or LLM‐based applications on structured data, large‐scale loan data pipelines, or containerization tooling (Docker, Kubernetes, Terraform). Competitive salary and performance‐based bonus. Stock option ...

JavaScript.Proven track record leading complex enterprise technical engagements. You’ve managed customer relationships, navigated security reviews, and delivered production systems organisations depend on.Deep production LLM experience: multi-agent orchestration, MCP/tool-use, RAG optimisation, evaluation frameworks, agent deployment at scale.System architecture expertise spanning enterprise systems, cloud infrastructure ...

enterprise technology within corporate functions Strong technical understanding of modern software development practices (APIs, cloud, CI/CD, monitoring, etc Experience with GenAI or LLM‐powered tools to accelerate the SDLC process Hands‐On development experience programming in Java or C++ Strong experience managing vendor solutions and integrations Strong hands ...

Experience in data science, machine learning, or applied NLP Strong hands‐on experience with: Search and retrieval systems (lexical, vector, hybrid) RAG pipelines and LLM‐based systems Evaluation methodologies for ML/IR/GenAI Advanced programming skills in Python Experience with modern ML/NLP frameworks (e.g., PyTorch, Hugging ...

calling and workflow orchestrationAI evaluation, observability, guardrails and LLMOps expertiseAdvanced Python development skillsCloud experience (AWS, Azure or GCP)Experience with OpenAI, Anthropic or similar LLM platformsStrong communication and presentation skillsPrevious training, coaching, mentoring, or technical workshop delivery experience Location: Mostly remote with occasional travel to London Duration: 6 months (Possibility ...

essential.Nice to haveDatabricks Asset Bundles, Lakeflow Jobs/Pipelines, Unity Catalog, Volumes and/or Lakebase Agentic or AI-enabled engineering workflows, LLM integrations or AI coding tools Playwright/Selenium Docker/Kubernetes Terraform/Bicep Agile development environments Scala, PowerShell and YAML The teamYou’ll join a highly ...

developments. Take on related responsibilities as the squad's needs evolve. Requirements Engineering experience: 3+ years in software engineering, with hands‐on experience building LLM‐powered applications in production (RAG, tool‐augmented agents or agentic workflows). Education: BS in Engineering, Computer Science, or equivalent. Ways of working: Comfortable working ...

vendor-specific APIs.Implement execution guardrails including policy validation, approval gates, rollback mechanisms, dry-run checks, and audit logging.Develop platform capabilities for AI/LLM-driven agents to safely trigger network actions.Support deployment and operation of AI platforms such as Vertex AI or similar.Integrate with vector databases, graph APIs, data pipelines ...

like Playwright, Selenium, or Cypress AI-Augmented Testing Exposure: Working knowledge or hands-on exposure to AI-based test generation tools, self-healing automation, LLM-assisted scripting or debugging Independence: Ability to manage workstreams and collaborate effectively with minimal supervision API Testing: Experience testing REST APIs using tools like Postman ...

scaling enterprise-grade AI platforms. This is an exciting opportunity to work on cutting-edge Artificial Intelligence, Machine Learning and Large Language Model (LLM) initiatives, helping to transform innovative AI research into secure, scalable production systems. The role is open to candidates across the UK , with fully remote working available ...

Python and python-based AI/ML framework and familiarity with relevant libraries and frameworks (e.g., TensorFlow, PyTorch)..Experience working with language models like LLM's APIs and optimizing their usage for specific applications.Experience with the following programming languages: Python, C++, Java, R, SQLStrong written & verbal communication skills and ability ...

patterns for junior engineers Requirements Commercial experience building multi-agent or agentic AI systems in production Strong Python skills and hands‐on experience with LLM frameworks (LangGraph, LangChain, Haystack, or similar) Experience deploying AI/ML systems into production environments Familiarity with Docker, Git, and cloud platforms (AWS preferred) Understanding ...