51 to 75 of 121 LLM Jobs in Central London

shaping the future of AI in finance, please apply. No prior AI experience is required. What Does Day-to-Day Look Like: Evaluate LLM models on portfolio management topics such as asset allocation frameworks, risk-adjusted return analysis, and portfolio optimization. Create rubrics to assess model capabilities on tasks like ...

shaping the future of AI in finance, please apply. No prior AI experience is required. What Does Day-to-Day Look Like Evaluate LLM models on research topics such as equity valuation, sector analysis, earnings estimate modelling, and investment thesis formulation. Create rubrics to assess model capabilities on tasks like ...

shaping the future of AI in finance, please apply. No prior AI experience is required. What Does Day-to-Day Look Like Evaluate LLM models on financial consulting topics such as business valuation, due diligence, financial restructuring, and forensic accounting. Create rubrics to assess model capabilities on tasks like purchase ...

shaping the future of AI in finance, please apply. No prior AI experience is required. What Does Day-to-Day Look Like Evaluate LLM models on growth equity topics such as growth-stage company valuation, unit economics analysis, and investment memo writing. Create rubrics to assess model capabilities on tasks ...

shaping the future of AI in finance, please apply. No prior AI experience is required. What Does Day-to-Day Look Like Evaluate LLM models on trading topics such as execution strategies, market microstructure, order book analysis, and position management. Create rubrics to assess model capabilities on tasks like trade ...

shaping the future of AI in finance, please apply. No prior AI experience is required. What Does Day-to-Day Look Like Evaluate LLM models on venture capital topics such as startup valuation, term sheet analysis, cap table modeling, and market sizing. Create rubrics to assess model capabilities on tasks ...

that demonstrates both product thinking and conversational design capability Strong interaction design skills, particularly across multi-step and dynamic experiences Understanding of AI/LLM-driven experiences and how they shape product behaviour Confidence working cross-functionally and influencing product direction High proficiency in Figma and modern design tools (experience ...

/AI systems end-to-end Understand how kernel-level gains translate to wall-clock improvements in production. Build the infrastructure that lets LLM agents iterate unsupervised for days - compilation, correctness, benchmarking, scoring, lineage tracking... Design the evolutionary search - fitness landscapes, variation operators, population management, selection pressure, stagnation detection, exploration ...

correspondence Operationalising international data transfer mechanisms (SCCs, IDTA, TRAs) Third-Party & Sub-Processor Risk Conducting and documenting sub-processor risk assessments (including AI/LLM vendors such as OpenAI), maintaining the sub-processor register, and supporting customer notification obligations under DPAs Running vendor risk assessments across data protection, information security ...

What You’ll Do Work directly with banking and fintech clients to deploy AI-powered workflow solutions Design and implement agentic workflows using modern LLM tooling Prototype fast, iterate faster, and own deployments end-to-end Partner with product and engineering teams to turn client problems into scalable solutions ...

AI Architect Hybrid (London, Bristol, Leeds, Manchester) Initial 3 months with extensions Inside IR35 - Umbrella only Our client, a reputable organisation in the IT sector, is seeking a talented AI Architect to join their team ...

Data Science - Assistant Manager £60,000 to 75,000 GBP Bonus Hybrid WORKING Location: Central London, Greater London - United Kingdom Type: Permanent Data Scientist - Associate Manager Locations: London or Manchester (Hybrid) Salary: Up to £75 ...

GenAI Full Stack Engineer Location: London (Hybrid, 2 days per week in office) Salary: £45,000 to £55,000 + Benefits Type: Permanent About the Company We are partnering with a leading digital transformation and ...

health, clinical systems, or AI-powered products. Familiarity with UK healthcare technology standards or NHS digital infrastructure is a plus. Experience with AI or LLM-based products in a production environment. Background working with small, focused engineering teams where individual contributions matter. Why This Role Matters Demand for mental health ...

LLMs, this role is for you. In this role, you’ll: 🔧 Build and ship high-impact software 🧠 Work on AI/LLM-powered automation tools used in production 🏗️ Help shape scalable systems and infrastructure 🌍 Work collectively across teams to push the product forward 💻 Be working end-to-end on both ...

wait to be told what to do Bonus points Worked at a dev tools or infra company Know the AI/LLM ecosystem and what an AI gateway does Been a founder or employee #1 to #10 before Have opinions about PLG, pricing, and developer experience ...

High ethical standards; interest in AI is a plus. Perks of Freelancing with Turing: Opportunity to work on cutting-edge AI projects with leading LLM companies. Competitive compensation. Flexible, fully remote work arrangement. Learn how to use AI to advance the legal field. Offer Details: Commitment: Flexible ...

want to build production AI systems used by millions of insurance customers? Have you deployed LLM applications into complex enterprise environments before? Are you ready to help scale a growing GenAI function inside one of the UK’s biggest insurers? A major UK health and life insurance provider is hiring … building production-grade AI applications across underwriting, customer journeys, internal operations, and sales enablement. The role sits within a growing AI team delivering live LLM applications and intelligent automation systems. You’ll work on high-impact products with strong internal visibility, alongside experienced Data Scientists and AI Engineers. Role Summary ...

Systems . This isn't just about standard predictive modeling—you’ll be building autonomous agents that reason and execute, leveraging the latest in LLM fine-tuning, RAG pipelines, and scalable MLOps. The Core Mission Architect & Build: Design and implement AI algorithms and architectures, moving from raw concepts to robust … frameworks. Agentic Systems & LLMs: Develop intelligent AI agents capable of reasoning and planning. Expertly handle LLM fine-tuning (PEFT, LoRA, QLoRA) and RAG pipelines. Data Orchestration: Build ETL/ELT pipelines and feature engineering workflows to integrate structured and unstructured data into centralized platforms. End-to-End MLOps ...

solving real-world problems with measurable social impact. The Role As a Senior AI Engineer, you’ll design, build and deploy advanced NLP and LLM-based solutions, taking models from research through to production. You’ll work closely with AI, data, MLOps and product teams to translate business and regulatory … role for someone who enjoys owning outcomes, balancing experimentation with real-world delivery. What You’ll Be Doing Designing and developing NLP and LLM-driven solutions for complex, real-world use cases Fine-tuning and adapting foundation models using domain-specific data Building evaluation frameworks, prompt testing tools and data ...

that scope, not daunted by it. REQUIREMENTS: Strong Python in production, ideally including FastAPI or similar async frameworks Proven experience building and deploying LLM-powered applications, not prototypes that never saw users Solid understanding of data modelling and PostgreSQL; familiarity with vector databases a plus Comfortable across the full stack … multi-agent systems for reliability and production performance Understanding of prompt engineering techniques including few-shot learning, chain-of-thought and RAG Familiarity with LLM evaluation strategies and how to measure whether your system is actually working Hands-on with AI orchestration frameworks: LangGraph, LangChain, DSPy or equivalent Knowledge ...

stack developer AI & Modern Development Practices (Required) Experience using AI coding tools or assistants in day-to-day development Understanding of large language model (LLM) fundamentals and limitations Desirable Exposure to cloud platforms (e.g. AWS, GCP, Azure) Experience with CI/CD pipelines and infrastructure as code Senior Full Stack ...

Tool using and reasoning agents o Human in the loop workflows o Orchestration and memory patterns • Lead solution design using Generative AI and LLM ecosystems, including: o Prompt engineering and prompt pipelines o RAG (Retrieval Augmented Generation) architectures o Model fine tuning and evaluation strategies • Provide technical oversight and mentoring … Agentic frameworks and orchestration patterns o RAG pipelines, vector databases, and embeddings • Experience across major AI ecosystems (e.g., cloud AI platforms, open source LLM tooling) • Solid understanding of data engineering, APIs, and enterprise integration patterns Consulting & Leadership Skills • Strong client facing presence, capable of leading executive level discussions • Ability ...

Job Title Senior Data Analyst (Service Delivery & AI Analytics) Department Service Delivery Location Remote or Hybrid (split between site-based and home-working) Country Flexible (UK/EU/US/Hong Kong) Level Individual ...

architected, deployed, and scaled across the organisation. This is a hands-on senior engineering role focused on building production-grade AI systems, defining LLM architecture, and establishing engineering standards across a growing AI function. Key Responsibilities • Design and build internal AI-powered applications solving real business problems • Develop and deploy … LLM-based assistants and automation workflows • Build scalable APIs, backend services, and integrations • Define and mature the organisation’s AI architecture and engineering standards • Implement robust DevOps/MLOps practices for AI systems • Mentor engineers and improve AI delivery capability across the team • Work closely with product and business stakeholders ...