101 to 125 of 1,595 LLM Jobs in England

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 ...

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 ...

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 ...

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 ...

processing frameworks Systems‐Level Programming: Experience with low-level systems programming such as storage systems, Kubernetes operators, OS-level software development, or daemon services (llm‐d, system agents) ML Platform Engineering: Experience productionizing ML pipelines, batch job orchestration, model fine‐tuning workflows, and Jupyter notebook orchestration systems Enterprise Deployment: Experience ...

large‐scale consumer applications Previous experience as a site lead, office lead, or similar multi‐team leadership role Background in building infrastructure for LLM training or inference Contributions to open‐source infrastructure or AI infrastructure projects Experience scaling teams from 0 to 20+ engineers Active involvement in the London ...

stakeholders Your Skills Software engineering experience while leading engineering teams Strong hands‐on experience building and deploying AI applications in production Deep knowledge of LLM APIs, prompt engineering, and conversational AI patterns Experience with agentic frameworks and autonomous agent architectures Proficiency in Python and modern software development practices (testing, code ...

developer platforms, internal tooling, shared services, or infrastructure that supports multiple engineering teams. Hands-on experience building AI-powered applications and services using modern LLM frameworks and agentic architectures. Good understanding of modern AI concepts and practices, including: Large Language Models (LLMs) Retrieval-Augmented Generation (RAG) Prompt Engineering AI Guardrails ...

Azure, leveraging core technologies in the AI Foundry ecosystem, understanding different business challenges require varied solutions from SLM's to intelligent Agentic automation from LLM foundational models, Human in the Loop and MLOps. Data Architecture Design: You understand and know when to use the following data architecture design patterns ...

frameworks, or architectural playbooks — at scale.Fluency across the modern data and AI stack: cloud data platforms (Snowflake, Databricks, BigQuery), agentic frameworks, RAG, vector databases, LLM orchestration, data governance, and enterprise integration patterns.Experience with prompt engineering, agent lifecycle management, and hands-on prototype development.Hands-on proficiency in programming (e.g., Python, JavaScript ...

modelling, integration patterns, event-driven design, canonical semantic layers. Exposure to AI/ML data requirements and the data modelling implications of analytics and LLM-enabled use cases in asset management. Certifications: DAMA/CDMP, TOGAF, or cloud data certifications (Snowflake SnowPro, Azure/AWS/GCP equivalents). Experience ...

Proven experience building complex AI systems, with hands‐on expertise in Retrieval‐Augmented Generation (RAG) and AI Agent architectures. Deep, hands‐on experience with LLM APIs and/or fine‐tuning and serving open‐source models. Strong understanding of prompt engineering and context engineering to maximize model relevance and accuracy. ...

related technical field OR Bachelor's Degree in Computer Science or related technical field OR equivalent experience. Experience designing, deploying, and operating AI or LLM-based solutions, including prompt engineering, retrieval-augmented approaches, model tuning, evaluation, data quality, performance monitoring, and use of cloud AI platforms Familiarity with deploying ...

complex architectural risks into clear, concise, and actionable strategic plans for senior executive leadership and non-security stakeholders.Nice to have:AI/ML Pipeline & LLM Familiarity: Hands-on experience or deep architectural familiarity with securing ML training lifecycles, protecting proprietary model weights, or building guardrails for autonomous workflows.Regulated Data & Compliance ...

operations — secrets management, IAM/least privilege, PCI DSS-aligned controls, auditability.* Reliability engineering — SLIs/SLOs, incident management, cost and capacity management (incl. LLM token/credit cost control).**Nice‐to‐have skills*** LLMOps/MLOps — model serving, gateway/proxy management, prompt/version management, guardrails ...

based product portfolio. Partner with product managers, content managers, and senior stakeholders to design, build, deploy, and optimise state of the art AI, ML, LLM, and GenAI solutions. Use AI to broaden reach, engagement, and utilisation across our services. Identify opportunities to drive efficiency through AI across the wider business. ...