101 to 125 of 367 LLM Jobs in Central London

providers: CCaaS & Enterprise CRM: NICE CXone Mpower, Salesforce Agentforce, Talkdesk Autopilot, Genesys Cloud CX, Five9 Genius AI, Vonage Contact Center, Amazon Connect Agentic AI, LLM Orchestration & Copilots: Cresta, Retell AI, Kore.ai XO, Sierra, Decagon, Google Cloud CCAI If you are ready to shape the future of the service industry ...

Design and evolve secure AI architecture roadmaps , ensuring alignment with broader technology and security strategies Lead the secure design, implementation, and governance of AI, LLM, and Agentic systems Develop and embed AI security standards, policies, and best practices across the organisation Conduct and maintain threat models and risk assessments ...

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 quantitative finance topics such as stochastic modelling, derivatives pricing, statistical arbitrage, and risk quantification. Create rubrics to assess model capabilities on tasks like options ...

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 quantitative finance topics such as stochastic modelling, derivatives pricing, statistical arbitrage, and risk quantification. Create rubrics to assess model capabilities on tasks like options ...

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 quantitative finance topics such as stochastic modelling, derivatives pricing, statistical arbitrage, and risk quantification. Create rubrics to assess model capabilities on tasks like options ...

What they're looking for: Experience building data intensive products or platforms Comfort operating across both frontend and backend systems Exposure to AI products, LLM integrations, or intelligent automation workflows Someone who enjoys ambiguity, autonomy, and ownership A builder who wants meaningful influence over product, technology, and company direction ...

What they're looking for: Experience building data intensive products or platforms Comfort operating across both frontend and backend systems Exposure to AI products, LLM integrations, or intelligent automation workflows Someone who enjoys ambiguity, autonomy, and ownership A builder who wants meaningful influence over product, technology, and company direction ...

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 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 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 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 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 investment banking topics such as M&A deal analysis, LBO modelling, accretion/dilution analysis, and pitch book creation. Create rubrics to assess model ...

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 private equity topics such as LBO structuring, deal screening, operational value creation, and exit strategy analysis. 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 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 venture capital topics such as startup valuation, term sheet analysis, cap table modeling, and market sizing. 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 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 venture capital topics such as startup valuation, term sheet analysis, cap table modeling, and market sizing. 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 venture capital topics such as startup valuation, term sheet analysis, cap table modeling, and market sizing. Create rubrics to assess model capabilities on tasks ...

/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 ...

Investment House London Contract Role THE ROLE Design and build core AI platform components for a leading buy-side investor. You'll own the LLM gateway, MCP connector layer, observability tooling, and privacy proxy translating business use cases into governed, production-ready AI systems click apply for full job details ...

hide behind ambiguity. You care about the result — and you act on it. You're AI-native. You're actively exploring LLM workflows, AI tooling, automation, or developer productivity improvements. You see AI as a force multiplier, not a buzzword. Culture: High standards. Low ego. Direct feedback. Fast execution. Real ...