26 to 50 of 123 LLM Jobs in the City of London

platform within a fast-moving, highly collaborative environment. Key Responsibilities • Designing, building, and maintaining scalable ETL/ELT pipelines • Supporting production ML systems, including LLM and forecasting workflows • Improving reliability and performance across AWS infrastructure • Writing and optimising complex SQL for analytics and reporting • Building integrations across internal and external ...

Knowledge Graphs & Advanced RAG Job Description Design, develop, and deploy scalable applications using Python with high code quality and performance standards Build and implement LLM-based solutions, including RAG pipelines and agentic workflows for real-world use cases Develop and integrate RESTful APIs for seamless communication between systems and services ...

serverless deployment experience (AWS, GCP, Azure, or Vercel/similar) Database schema design and query performance optimisation Familiarity with AI/ML tooling or LLM integrations in production systems SaaS, CRM, or enterprise platform experience Agile or Scrum certification (though practical experience is more important to us) Why Join ...

serverless deployment experience (AWS, GCP, Azure, or Vercel/similar) Database schema design and query performance optimisation Familiarity with AI/ML tooling or LLM integrations in production systems SaaS, CRM, or enterprise platform experience Agile or Scrum certification (though practical experience is more important to us) Why Join ...

Campion Pickworth is partnering with a leading international professional services firm to hire a Data Scientist – Senior Consultant to join a high-performing Analytics & Data Science team. This is an opportunity to work at the ...

technical experience as a Developer or Engineer Financial product/traded product knowledge is desirable Any experience with Machine Learning/Large Language Models (LLM)/Data Science is desirable. Excellent communication skills Salary: Excellent + bonus + package Location: London (good work from home options available ...

build. Core Engineering Skills: Strong manual coding and foundational debugging abilities. You don't freeze or rely blindly on automation when an LLM gives an unhelpful answer. Mindset: Autonomous, proactive, and flexible. You enjoy the fast-paced nature of building tools from scratch rather than just maintaining legacy code. ...

Responsibilities Design, build, and maintain AI/ML models and pipelines for Joybuy's international platform, covering areas such as personalisation, recommendation, NLP/LLM applications, computer vision, and fraud detection. Own end-to-end machine learning lifecycle from problem formulation and data exploration to model training, evaluation, deployment, monitoring … challenges. Effective communication skills in English. Preferred Qualifications Work experience in large-scale e-commerce companies or high-traffic consumer-facing platforms. Experience with LLM fine-tuning, RAG architectures, or generative AI applications. Experience building multilingual or cross-market AI systems for European/global audiences. Experience with real-time ...

/FastAPI + React/TypeScript or equivalent) ✅ Solid SQL & data modelling instincts — comfortable in data-heavy B2B products ✅ Bonus: experience with agentic/LLM-powered products, tool use, evals, guardrails ✅ Bonus: API integrations (MCP, webhooks, OAuth) + cloud deployment (AWS) Direct AI/ML experience isn't a hard ...

/FastAPI + React/TypeScript or equivalent) ✅ Solid SQL & data modelling instincts — comfortable in data-heavy B2B products ✅ Bonus: experience with agentic/LLM-powered products, tool use, evals, guardrails ✅ Bonus: API integrations (MCP, webhooks, OAuth) + cloud deployment (AWS) Direct AI/ML experience isn't a hard ...

SaaS platforms Strong PostgreSQL and database design knowledge Exposure to distributed systems, event-driven architectures or messaging technologies Interest or experience working with AI, LLM-powered products or modern AI platforms Why join? 💪 Join a market-leading business operating at the forefront of Generative AI 🚀 Work on innovative products helping ...

Product Skills: Demonstrable experience with research & discovery, writing prd’s, user stories, acceptance criteria, reviewing and prioritising backlog s.● Experience working with AI tools, LLM APIs, prompt engineering, or AI agents to solve practical workfl ow problem s.● Experience working with data, be that working quickly with data in Excel ...

Product Skills: Demonstrable experience with research & discovery, writing prd’s, user stories, acceptance criteria, reviewing and prioritising backlog s.● Experience working with AI tools, LLM APIs, prompt engineering, or AI agents to solve practical workfl ow problem s.● Experience working with data, be that working quickly with data in Excel ...

/CD, monitoring and orchestration frameworks (e.g. Kubeflow, Flyte, MLflow). Good knowledge of Docker and Kubernetes for containerizing AI workloads. Understanding of LLM inference stacks (vLLM, llama.cpp, OpenVINO) and model deployment formats (ONNX, .safetensors, Hugging Face Model Hub). Experience in sizing GPU infrastructures for LLM model inference … training (memory, throughput, hardware categories ranging from A10 to H200). Experience in evaluating and benchmarking LLM performance (accuracy, latency, throughput). Practical skills in Python and SQL programming, as well as knowledge of ML libraries and frameworks such as PyTorch, TensorFlow and Hugging Face. Bachelor's or Master ...

incident response maturity for your services. Contribute to hiring — interviews, technical assessments, and onboarding of new engineers. Lead the design and delivery of LLM-based capabilities (e.g., OpenAI, Gemini, Claude) within Java services — document extraction, policy summarisation, intelligent routing — including evaluation, guardrails, cost, and latency considerations. Architect retrieval-augmented generation … Azure DevOps, GitHub Actions, or equivalent) and driving deployment automation and quality gates. Demonstrated production (or near-production) experience with at least one of: LLM API integration, vector databases, prompt engineering, or RAG pipeline construction. Familiarity with REST-based AI APIs (OpenAI, Anthropic, Google Vertex AI, or equivalent ...

ranking systems, including semantic search, relevance signals, ranking model evaluation, query understanding, and the product challenges of low-confidence and zero-result states LLM product experience with a clear, critical view of where large language models create real leverage — such as query expansion, intent classification, or semantic search, and where ...

degree in Computer Science, Computer Engineering, or a related technical field, or equivalent practical experience. Preferred Qualifications: Direct experience in generative AI and large language model research. PhD or research-focused Master’s degree in machine learning or related areas. Background in physics or mathematics is a plus. Join ...

degree in Computer Science, Computer Engineering, or a related technical field, or equivalent practical experience. Preferred Qualifications: Direct experience in generative AI and large language model research. PhD or research-focused Master’s degree in machine learning or related areas. Background in physics or mathematics is a plus. Join ...

barrier: Daily, sophisticated use of AI coding tools (Claude Code, Devin, Cursor/Windsurf, Copilot) with informed views on where each earns its keep. LLM application engineering — agent orchestration, RAG, structured outputs, evals. Prior consultancy or client-facing delivery experience. Cloud and data infrastructure depth (GCP/AWS, Terraform ...

barrier: Daily, sophisticated use of AI coding tools (Claude Code, Devin, Cursor/Windsurf, Copilot) with informed views on where each earns its keep. LLM application engineering — agent orchestration, RAG, structured outputs, evals. Prior consultancy or client-facing delivery experience. Cloud and data infrastructure depth (GCP/AWS, Terraform ...

positive difference through the development of AI solutions is what they do best. If you’re proficient in python, are enthusiastic about working with LLM’s and have strong experience leading the design and development of production grade solutions in enterprise, then this job could be a great next step ...

every day Meeting capture and documentation systems Suitability reports and annual review workflows Compliance automation and file-checking systems Client onboarding and CRM surfaces LLM integrations, RAG, and structured document generation Fast, reliable, well-tested software for regulated environments ✅ Must have: Exceptional product engineering ability Strong Go, TypeScript, or Python ...

founder. - AI-native daily workflow: Claude Code, Cursor, Codex, or similar tools are an established part of how you work. - You've integrated LLM APIs (Anthropic Claude, OpenAI, or similar) hands-on, ideally in a customer-facing or product context. - Native or near-native English. The vast majority of customer ...

stakeholders to move AI solutions from experimentation into reliable production use. Key Duties and Responsibilities Design, develop, deploy, and optimise machine learning models and LLM-based solutions using Azure Databricks, Azure ML, or Azure AI Foundry Build and maintain scalable LLM-powered applications, ensuring performance, reliability, and cost efficiency … machine learning models in enterprise cloud environments Experience using MLflow for experiment tracking, model lifecycle management, and versioning of both traditional ML models and LLM-based solutions Strong understanding of LLMOps practices, including deployment, monitoring, scaling, evaluation, governance, and cost control Experience building agentic AI workflows and orchestration patterns using ...

stakeholders to move AI solutions from experimentation into reliable production use. Key Duties and Responsibilities Design, develop, deploy, and optimise machine learning models and LLM-based solutions using Azure Databricks, Azure ML, or Azure AI Foundry Build and maintain scalable LLM-powered applications, ensuring performance, reliability, and cost efficiency … machine learning models in enterprise cloud environments Experience using MLflow for experiment tracking, model lifecycle management, and versioning of both traditional ML models and LLM-based solutions Strong understanding of LLMOps practices, including deployment, monitoring, scaling, evaluation, governance, and cost control Experience building agentic AI workflows and orchestration patterns using ...