226 to 250 of 635 LLM Jobs in London

/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 ...

AI Solution Architect - FS Consulting A leading consulting and technology firm is seeking experienced AI Solution Architects and Technical AI Leaders to help shape enterprise AI and GenAI strategy for major banking clients. Based in ...

will design, build and deploy production-ready AI solutions across the Microsoft Azure ecosystem. This is a hands-on engineering role focused on taking LLM-powered applications from experimentation into scalable, secure and reliable production environments. We're particularly interested in engineers who have built AI solutions around document intelligence … enterprise search, knowledge management, NLP or Retrieval-Augmented Generation (RAG), rather than purely research-focused AI. Key Responsibilities Design, build and deploy production-ready LLM and Machine Learning solutions using Azure Databricks, Azure Machine Learning and Azure AI Foundry Develop scalable AI applications using modern orchestration frameworks including LangChain ...

existing machine learning solutions Build with AWS and Azure cloud computing services providing the necessary infrastructure, resources, and interfaces to enable data loading and LLM workflows. Use Python/Java and large-scale data workflow orchestration platforms e.g. Airflow to construct software artifacts for ETL, interfacing with diverse data formats … e.g. code quality considerations, automated testing, source version control, optimization) Prior experience working on building Gen AI frameworks and leveraging and/or finetuning LLM’s. Experience building/enhancing search and information retrieval systems Exposure/experience in containerization technologies like docker, Kubernetes, AWS EKS etc. Knowledge of popular ...

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 ...

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 ...

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 ...

services (banking, capital markets, insurance, or fintech) to design, build, and scale GenAI-powered data solutions. The role combines modern data engineering, ML/LLM integration, and domain-specific financial knowledge to deliver enterprise-grade AI platforms. Hybrid working: The places that you work from day to day will vary … with advancements in GenAI and share relevant learnings with the team You will lead the development of data pipelines, vector databases, retrieval systems, and LLM-driven applications to solve use cases such as risk analytics, fraud detection, regulatory compliance, document intelligence, and customer insights Your Skills Handson experience with ...

Position Summary We are seeking motivated and innovative Junior Healthcare AI Specialists to join our team and contribute to the development of advanced artificial intelligence solutions that support healthcare professionals, improve patient outcomes, and enhance ...

safety). Semantic Layers & Ontologies - Contribute to semantic models (metrics, definitions, and metadata) that make it easier for business users to query data consistently. LLM-Powered Analytics - Prototype LLM-enabled features for summarisation, insight narration, and conversational analytics, and help evaluate what is production-ready. Rapid Prototyping - Turn ideas into … supervision. Strong communication skills, including the ability to explain complex technical concepts to non-technical stakeholders. What Would Make You Stand Out: Experience with LLM orchestration frameworks (e.g., LangChain, LangGraph, CrewAI, AutoGen, Semantic Kernel). Exposure to semantic layer technologies (e.g., dbt metrics layer, Cube, AtScale) or knowledge graph tooling. ...

Harrington Starr is seeking a Full Stack Engineer to join an AI-first technology company based in NYC. You will take ownership across the full stack, developing scalable backend services using Node.js and TypeScript, and ...

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 ...

Description: Fast-growing legal tech startup Job Description Join a high-performance team as a founding AI Engineer to develop state-of-the-art LLM algorithms and production-ready evaluation pipelines. You will lead the development of proprietary models, optimize prompting strategies, and ship high-impact features for a global ...

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 ...

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 ...

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 ...

Enablement Specialist Location : London (Hybrid) Salary : £130,000 P/A + Comps Skills : Python (Programming Language), Computer Science, Software Development, Large Language Models (LLM) The role We're partnering with a highly successful, technology‐led Fintech organisation that is embracing AI as a key driver of future growth ...

evaluate trade‐offs and prioritize effectively Experience working closely with Engineering and Data teams to deliver production solutions Familiarity with modern AI tools (e.g., LLM‐based solutions, workflow automation, data platforms) Excellent communication and stakeholder management skills EEO Statement Goldman Sachs is an equal opportunity employer and does not discriminate ...

worldwide supply chains and product lifecycles. 6. Technical Depth: Possessing a robust understanding of modern data architectures, advanced analytics, cloud scalability, and GenAI/LLM integration complexities. Key Responsibilities & Focus Areas Working in tandem with the CAIO, you will own the technical architecture and change management engine. You must ...

questionnaire responses, failure mode documentation) and they need to be clear and precise. Strong nice‐to‐haves Experience with AI/ML systems security, LLM security, or AI control research. The field is young enough that deep experience here is rare, but any exposure significantly reduces ramp‐up time. Detection ...

technical debt Collaborate with Data teams to align product design with data quality, structure, and AI use cases Identify and embed practical AI and LLM-driven functionality into workflows and the product experience Act as the day-to-day product contact for commercial teams and senior stakeholders Your Skills ...

with Automation Tools such as Alteryx, UI Path to introduce efficiency and scale to the Reconciliations Processes Experience with AI/LM tools and LLM use cases to streamline STP for Reconciliations Significant experience or equivalent expertise delivering products, projects, or technology applications Extensive experience leading operational management and change ...

what's relevant. ## Essential experience - Experience building ML/AI systems in a research-adjacent context (industry, lab, or PhD). - Experience building LLM-powered systems: prompts, context engineering, agent architectures. - Experience working with evaluations and benchmarks, including in tasks where "correct" is ambiguous. - Familiarity with model training generally ...