101 to 125 of 227 LLM Jobs in the City of London

using AI tools ✔️ Hands-on experience building and integrating APIs ✔️ Comfortable with cloud concepts (storage, CDNs, queues, serverless) ✔️ Familiarity with media pipelines, streaming, or LLM-powered features This is a chance to join a high-ownership team, ship user-facing features at scale, and work at the frontier ...

performance systems from scratch What we’re looking for: 4–10+ years engineering experience Strong expertise in Python or TypeScript Experience with AI/LLM-powered products, agentic workflows, or automation systems A startup mindset — comfortable moving quickly, wearing multiple hats, and owning 0→1 builds Someone who thrives ...

across different cloud providers and networking constraints. Interest in AI & Agents – Not a pure ML role—just curiosity or side projects involving AI agents, LLM tools, or automation frameworks. Client-Facing Mindset – Confidence working directly with customers, understanding their environments, and guiding them through deployment and solution delivery. Growth Mentality ...

early-stage teams What You’ll Work With FastAPI backend development React engineering and modern frontend tooling Supabase or similar cloud-native backend tools LLM agent workflows: tool calling , memory, retries, context updates Human–AI interaction models and agent UX (AX) design System design , architecture evolution, and scaling pathways ...

with the AI Engineering and Data Science teams to: Develop and prototype AI-driven solutions across customer-facing and internal applications. Build and optimise LLM-based assistants , RAG pipelines , and agentic AI workflows . Collaborate on the architecture and deployment of scalable AI solutions (with support from engineering). Partner … commercially driven customer environment Strong Python skills and solid grounding in AI/ML fundamentals. Experience with some of Databricks, LangChain , vector databases , or LLM orchestration tools . Experience in RAG pipelines , transformers , and modern AI architectures . Understanding of deployment or MLOps best practices (Azure experience a plus). ...

with the AI Engineering and Data Science teams to: Develop and prototype AI-driven solutions across customer-facing and internal applications. Build and optimise LLM-based assistants , RAG pipelines , and agentic AI workflows . Collaborate on the architecture and deployment of scalable AI solutions (with support from engineering). Partner … commercially driven customer environment Strong Python skills and solid grounding in AI/ML fundamentals. Experience with some of Databricks, LangChain , vector databases , or LLM orchestration tools . Knowledge of RAG pipelines , transformers , and modern AI architectures . Understanding of deployment or MLOps best practices (Azure experience a plus). ...

systems using frameworks like LangGraph, AutoGen, or similar to automate complex analysis tasks Evaluation & Observability: Implement rigorous evaluation frameworks (e.g., Ragas, DeepEval) to benchmark LLM performance, and standard metrics (F1, RMSE, AUC) for classic models Engineering Rigour: Write production-ready code (Python/TypeScript), manage CI/CD pipelines … Regression) to real-world datasets Strong grasp of fundamentals: Transformers, Embeddings, Feature Engineering, and Model Evaluation Generative AI Stack: Deep hands-on experience with LLM orchestration (LangChain, LlamaIndex) Production experience with Vector Databases and Hybrid Search implementation Experience with Prompt Engineering techniques (CoT, ReAct) and structured outputs Languages: Expert proficiency ...

Job Title: Solutions Engineer Location: London (Hybrid – 3 days per week) Salary: £60,000 + bonus and perks About Our Client Our client is a global network of life-saving technology companies, united by a ...

If you need support in completing the application or if you require a different format of this document, please get in touch with at UKI.recruitment@tcs.com or call TCS London Office number 02031552100/+44 ...

processes across underwriting, finance, accounting, and data warehouse systems. Design secure, scalable, and auditable architectures for Generative AI, Agentic AI, and large language model (LLM) technologies. Collaborate with data scientists, engineers, and developers to integrate and deploy AI models from development through to production. Define security standards for all integration ...

working with a high-performing global investment firm that’s building out its internal AI platform — applying cutting-edge large-language-model (LLM) technologies to real-world research and data challenges. They’re now looking for an AI Research Engineer who can turn emerging AI ideas into working products. This … prototypes quickly, and loves exploring what’s next in the AI ecosystem. What You’ll Do Design, build, and maintain AI research infrastructure – custom LLM pipelines and tools. Optimise LLM serving and inference for latency, reliability, and cost-to-intelligence. Prototype new approaches using Claude Code, Cursor, Windsurf, Copilot ...

edge AI and machine learning solutions with real-world impact. You will design, develop, and deploy ML models, including traditional ML and GenAI/LLM applications, supporting national security and regulated sector objectives. This is a London-based role with hybrid working support. Key Responsibilities: Design, develop, and iterate … models for forecasting, classification, anomaly detection, and GenAI/LLM applications. Lead experimentation cycles: define hypotheses, design experiments, evaluate results, and iterate rapidly. Transition validated experiments into production-ready solutions, collaborating with engineers on deployment and monitoring. Build and optimise ML pipelines using AWS services and experiment tracking tools. Develop ...

stream, operating alongside one existing AI specialist but at a slightly more senior and strategic level. You will help shape the organisation’s LLM strategy, conversational AI capabilities, and broader applied AI roadmap. Key Responsibilities Design, build, and enhance LLM-driven tools, including RAG pipelines, embeddings, and prompt engineering. Support … data (text, call transcripts) to define key insights and model outputs. Lead and contribute to the development of evaluation frameworks to measure AI and LLM performance. Operate between AI engineering, ML engineering, and data science teams, helping define and influence wider AI strategy. Collaborate with product, technical, and commercial stakeholders ...

Senior Data Scientist – National Security & Advanced Analytics Location : London/Hybrid | Full-time Salary: Up to £65,000 + Bonus + package Overview A leading digital and analytics consultancy supporting critical public sector and national ...

If you need support in completing the application or if you require a different format of this document, please get in touch with at UKI.recruitment@tcs.com or call TCS London Office number 02031552100/+44 ...

ship features that directly impact users. Responsibilities Develop, integrate, and fine-tune LLMs for natural-language understanding, reasoning, and workflow automation. Build agentic/LLM-driven workflows for multi-step decision making across diverse data sources. Architect and deliver ML features such as pattern recognition, entity extraction, and intelligent automation. … solutions. Who You Are Strong proficiency in Python and experience with PyTorch or TensorFlow . Practical experience with LangChain, LangGraph, AutoGen , or similar LLM/agent frameworks. Skilled in prompt engineering , integrating foundation model APIs, and LLM fine-tuning techniques. Expertise in building RAG systems , vector databases (e.g., Pinecone, Weaviate ...

features. 📌 Open Senior Roles (3 Total) 1. Senior GenAI Engineer - Client Features Build the next generation of customer-facing GenAI features. You will: Build LLM-powered workflows, chat systems, and assistant-style features. Develop simple, reliable systems that solve real customer problems (no over-engineering). Work closely with product … shape user-facing AI experiences. Deploy LLM models and agentic components in production. You bring: Strong hands-on experience with GenAI, LLMs, agentic frameworks , or chat/workflow apps. Excellent Python and software engineering fundamentals. Solid cloud experience (AWS preferred, GCP/Azure fine). Product-minded approach and ability ...

lead the design and productionisation of the company’s core AI systems. You will architect, implement, evaluate, and scale RAG pipelines, agentic workflows, and LLM-based intelligence frameworks, driving real-world impact across financial markets. The role is approximately 80% hands-on and 20% strategic, covering Python engineering, system architecture … model evaluation, while collaborating closely with product and domain experts. Key Responsibilities Build and deploy RAG pipelines, agentic AI workflows, and LLM integration frameworks Own AI evaluation, guardrails, and observability systems Translate financial workflows into scalable AI capabilities Collaborate directly with the CTO and external development teams Help shape ...

hypothesis testing, A/B testing and statistical evaluation Proven ability to transition validated models into production-ready systems with appropriate governance Exposure to LLM/Generative AI applications, including prompt engineering and RAG architectures Ability to communicate complex technical concepts clearly to non-technical stakeholders Experience working in cross … functional teams to deliver production solutions Eligibility and willingness to obtain UK Security Clearance Experience with advanced LLM techniques, containerisation, feature stores, vector databases or regulated industries is advantageous but not essential. . ...

helping brands deliver personalised, expertise-focused customer support through intelligent digital agents. Our technology powers e-commerce experiences including: skin analysis, product recommendation and LLM-based chat. W e’ve been awarded by CEW, Beauty Innovation Awards, Tech Nation and more, and have raised over $3M from leading tech investors. … help design, build, and scale our production ML systems with ownership from experimentation through to deployment. You’ll work end to end on LLM-powered conversational agents and support the training, optimisation, and deployment of computer vision models that power real customer interactions. 🔧 What We Offer Train, evaluate and deploy ...

national security programmes and help deliver real-world impact through cutting-edge AI solutions. What you’ll do: Design, develop, and deploy ML and LLM models, from experimentation to production Lead experiments, evaluate results, and iterate rapidly Build scalable ML pipelines and integrate generative AI solutions Apply responsible AI practices … experience with ML frameworks (scikit-learn, PyTorch, TensorFlow) Hands-on experience with cloud ML services (AWS SageMaker, Lambda, S3) Experience deploying ML/LLM models into production with MLOps best practices Strong experiment design, statistical evaluation, and problem-solving skills Excellent communication, able to convey complex concepts to technical ...

agents and applications using Copilot Studio (Full), Power Platform, Dynamics 365, and Azure AI; establish security, governance, and performance baselines. Design and implement LLM-powered solutions (RAG, prompt engineering, grounded generation) with data governance, telemetry, and quality monitoring ( LLMOps ). Integrate Microsoft 365 and Dynamics 365 with enterprise systems … Copilot Studio (Full) and Power Platform : Power Apps (Canvas/Model-driven), Power Automate Cloud/Desktop, Dataverse ; Dynamics 365 integration. Agentic AI : design LLM agents with LangChain/LangGraph/AutoGen ; retrieval strategies; vector search . Programming: Python and/or .NET; SQL ; REST/Graph; eventing; strong integration ...

Senior Data Scientist £50,000 to 60,000 GBP bonus Hybrid WORKING Location: Central London, Greater London - United Kingdom Type: Permanent Senior Data Scientist - London/Hybrid Up to £65,000 + DV Bonus | SC ...

AI Evangelist - Inside IR35 - Hybrid Role Overview The Senior AI Evangelist plays a pivotal hands-on role in shaping and driving the responsible adoption of Artificial Intelligence across the organization. This position bridges the gap ...

We’re looking for an innovative Artificial Intelligence Technology Consultant to join a forward‐thinking Strategy & Consulting team in London. You’ll be instrumental in assessing leading AI technologies, shaping AI strategy, and helping clients ...