76 to 100 of 123 LLM Jobs in the City of London

Oréal), this SaaS platform is completely redefining how enterprise brands scale growth across affiliates, influencers, and creators. With massive product innovation (including cutting-edge LLM/AI visibility tools) and a recent landmark industry partnership that cements their market monopoly, they are expanding their elite London sales team. This ...

Oréal), this SaaS platform is completely redefining how enterprise brands scale growth across affiliates, influencers, and creators. With massive product innovation (including cutting-edge LLM/AI visibility tools) and a recent landmark industry partnership that cements their market monopoly, they are expanding their elite London sales team. This ...

users - from UX to backend to customer calls. You have: Strong TypeScript and React Python backend experience AI/LLM integration in production End-to-end product ownership mindset What we offer: £150,000 salary London, in-person Full visa sponsorship + meals + healthcare + tools Exceptional team ...

enabled products in operationally complex environments. Strong stakeholder management, communication and commercially minded problem-solving skills. An interest in practical AI/LLM applications, automation and workflow optimisation. ...

month, work directly with the founders, and sit in calls with real paraplanners. We use AI to design AI — explore in an LLM, prototype in Claude or Cursor, polish in Figma. No thick process to hide behind, no backlog to babysit — a hard problem, a small team, and a number ...

month, work directly with the founders, and sit in calls with real paraplanners. We use AI to design AI — explore in an LLM, prototype in Claude or Cursor, polish in Figma. No thick process to hide behind, no backlog to babysit — a hard problem, a small team, and a number ...

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 ...

learn, experiment, and implement. * Organised and detail-oriented, with the ability to balance operational demands alongside longer-term strategic projects. Desirable * Experience working with LLM-based tools (such as Claude, Copilot, or similar) in a professional or project context. * Background in hardware, electronics, telecommunications, or a technical product environment. * Familiarity ...

same week. B2B SaaS background; fintech or another regulated, systems-heavy domain is a strong plus. Comfortable with AI-native products and an LLM in your own workflow. How to apply Tell us about one metric you owned, what you did, and what happened — numbers, not adjectives. Skip the cover ...

same week. B2B SaaS background; fintech or another regulated, systems-heavy domain is a strong plus. Comfortable with AI-native products and an LLM in your own workflow. How to apply Tell us about one metric you owned, what you did, and what happened — numbers, not adjectives. Skip the cover ...

hands-on, CV-evidenced experience building Agentic AI systems — this is non-negotiable. Join a major AI programme delivering production-grade Agentic AI and LLM solutions at scale. This role is focused on building intelligent systems that solve real business problems, automate complex workflows, and generate measurable impact across products … environments including AWS, Azure, and GCP What We're Looking For Strong Python engineering skills and experience writing production-grade code Proven experience deploying LLM-powered applications into production Hands-on expertise with LangChain, LangGraph, or similar frameworks Demonstrable experience building Agentic AI systems and AI agents Strong understanding ...

We're partnered with a leading global management and technology consultancy seeking a talented Lead AI Engineer to join their Technology Delivery team in London. Known for their entrepreneurial culture and deep expertise across financial ...

results • Work cross functionally Skills and experience - essential for this role • At least three years of product management experience. • Genuine fluency with AI and LLM products including an understand of scoping, prompts, evals. This may have developed or built in your day-to-day work or personally (we will ...

capabilities Engineering prompts, context management strategies and workflows that enable AI agents to operate effectively and safely Developing evaluation frameworks to assess and improve LLM performance and output quality Implementing CI/CD pipelines and deployment automation to support scalable delivery Ensuring appropriate security, access controls and GDPR compliance when … particularly Azure AI infrastructure and services Anthropic's managed agent ecosystem, including Claude Managed Agents and the Agents API Experience developing evaluation methodologies for LLM outputs Previous experience within eCommerce, AI product development, workflow automation or digital agency environments Comfortable presenting technical concepts, demonstrations and learnings to non-technical audiences ...

generative AI to improve how users discover, synthesize, and interact with scientific knowledge. Our work spans semantic search, retrieval-augmented generation (RAG), ranking systems, LLM evaluation, online experimentation, and scalable evaluation infrastructure. We partner closely with Product, Engineering, UX Research, Knowledge Graph, and Applied AI teams to deliver measurable improvements … search Retrieval-augmented generation (RAG) AI grounding and hallucination mitigation User discovery and engagement outcomes Establish scalable evaluation methodologies for search, retrieval, recommendation, and LLM-powered systems. Guide experimentation and optimization across lexical, semantic, hybrid, and AI-assisted retrieval architectures. Partner with Product and Engineering leadership to align search ...

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generative AI solutions that power knowledge discovery and decision support. You will work with complex scientific data and apply modern machine learning and LLM-based approaches to build scalable, reliable systems with real user impact. You will also collaborate across teams to turn complex challenges into practical, production-ready solutions. … Responsibilities Design, build, and evaluate advanced AI/ML, NLP, and generative AI solutions for scientific and knowledge-discovery applications. Develop LLM-powered workflows and retrieval-augmented generation (RAG) systems for search, summarization, question answering, and evidence-grounded insight generation. Build intelligent retrieval, ranking, recommendation, and decision-support capabilities using ...

Founding Engineer - MLOps & Data Engineering We're working with a venture backed technology company that is building software to solve complex challenges within the natural resources sector. Following recent funding and growing customer demand, they ...

automation opportunities Lead discovery and scoping sessions, then build the solution yourself Design and develop AI agents and workflows using Python and LLM frameworks Work with the AI Deployment Engineer to hand off anything requiring deep infrastructure Own post-deployment adoption: training, feedback loops, and iteration Build a library … reusable agent components and playbooks Proactively surface new automation opportunities across the business Key Skills Python & LLM agent frameworks (LangChain, CrewAI, LlamaIndex) Prompt engineering & RAG pipelines Business analysis & stakeholder management Process mapping & workshop facilitation Microsoft 365 & Microsoft Copilot No-code/low-code tooling (Zapier, Make) Desirable Skills Experience ...

Doing Depending on your level, you'll be responsible for: * Designing, building and evaluating Machine Learning, Generative AI and Large Language Model (LLM) solutions * Delivering AI and data science projects from discovery and proof of concept through to production * Applying advanced analytics to solve customer, marketing, digital and commercial challenges ...

stay small longer than scale headcount ahead of need. What we expect you to have done before: • Shipped agentic systems in production. Multi-step LLM systems with tool use, sub-agent orchestration, persistent memory, and human-in-the-loop steps. You can describe specific failure modes and how you instrumented … rate, instruction-following, latency, and cost across model versions and prompt changes. For us, this is the clearest indicator of someone who has shipped LLM systems in production. • Deep, current LLM engineering practice. System-level prompt design, RAG, structured generation, fine-tuning trade-offs (SFT, DPO, LoRA), and working knowledge ...

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 ...

property scoring model - using machine learning to grade acquisition opportunities based on multiple data points: demographics, planning classification codes, textual property data (via LLM), and satellite imagery. The goal is to help the team triage a high volume of on-market properties intelligently. An early-warning intelligence pipeline - monitoring local … Contact enrichment and GTM tooling - building pipelines to find and qualify operators across target sectors, using tools like Clay and custom data ingestion workflows. LLM and LangChain pipelines - filtering, analysing, and enriching property and operator data at scale. Salesforce development and integration - the business runs a heavily bespoke Salesforce instance ...

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 ...

Do you want to define the engineering standards behind one of the UK's most ambitious synthetic data platforms? Have you ever built ML infrastructure that enabled researchers and engineers to ship production AI at ...