401 to 425 of 2,260 LLM Jobs in London

deliver data-driven recommendations Build and maintain production-grade ML models and workflows that support ongoing marketing measurement and optimization Leverage Generative AI and LLM-based tools to accelerate insight generation, automate reporting workflows, and streamline day-to-day analytical tasks Communicate model outputs and experiment results clearly to both ...

with at least 2+ years on data, platform, or AI/ML productsPreferred: Familiarity with adjacent technologies such as vector databases, semantic search, large language model and retrieval-augmented generation architectures, data catalogs, and lineage toolsDeep expertise in artificial intelligence, with a track record of implementing advanced AI solutions ...

least 2+ years on data, platform, or AI/ML products Preferred: Familiarity with adjacent technologies such as vector databases, semantic search, large language model and retrieval-augmented generation architectures, data catalogs, and lineage tools Deep expertise in artificial intelligence, with a track record of implementing advanced AI solutions ...

attitude, and a commitment to success. • Professional verbal and written communication. • Undergraduate or Graduate degree preferred • 1+ year of Gen AI/LLM hands on development experienceMinimum Skills Required: Basic Qualifications: • 4+ years of experience supporting data science projects in a consulting environment. • 4+ year(s) of experience participating ...

engineering practices — branching, committing, reading diffs, and understanding what changed between pipeline versions Experience with or appetite for AI-assisted workflows — working with large language model agents as a genuine productivity tool, not just for curiosity Experience 3–5+ years in a data quality, data testing, analytics engineering, or data ...

uncertainty quantification, Bayesian estimation) and causal inference, with experience designing both controlled experiments and observational studies. Experience applying machine learning, statistical modelling, NLP and LLM-based techniques to analyse customer behaviour and conversational data, diagnose root causes and identify the drivers of outcomes. Experience designing measurement frameworks for complex customer ...

engineering practices — branching, committing, reading diffs, and understanding what changed between pipeline versions Experience with or appetite for AI-assisted workflows — working with large language model agents as a genuine productivity tool, not just for curiosity Experience 3–5+ years in a data quality, data testing, analytics engineering, or data ...

deep AI market expertise: Building relationships with technical founders, engineering leaders, product, and finance teams at AI companies Understanding the unique monetization challenges facing LLM providers, generative AI companies (image, video, audio), and AI tooling/wrapper companies and providing consultative guidance when prospects need direction on pricing and packaging ...

Proficiency in building services in Python, with working knowledge of Go or the ability to pick it up quickly. Some exposure to agentic systems, LLM applications, or retrieval running in production, or clear evidence you would pick them up fast. A good understanding of distributed systems and databases, including writing ...

platform remains both powerful and trustworthy. The opportunity is massive: you'll help define how enterprise AI applications are secured, from threat modeling our LLM architectures to building automated security controls that scale across our growing platform. This isn't about saying "no"—it's about finding creative ways ...

Excel, PowerPoint, Visio), with the ability to develop compelling and meaningful executive presentations. Preferred Qualifications, Capabilities, and Skills Hands-on experience with AI/LLM tools, ideally on low-code or sanctioned development platforms, with an instinct for catching design risk early. Experience with automation platforms (e.g., Python, UiPath, Pega ...

that move client P&L. What you'll do Translate ambiguous business problems into modelable formulations Build, evaluate and ship classical ML and modern LLM solutions Design experiments and causal analyses to quantify impact Own model monitoring, drift detection and lifecycle in production Communicate insights to executive stakeholders with clarity ...

track record of running multiple complex, high-visibility projects at once and driving them to outcomes. Even better... Experience building or deploying AI/LLM agents in production hands-on with the tools behind them (eval frameworks, agent tooling, RAG, prompt engineering) working closely with technical counterparts. You've been ...

track record of running multiple complex, high-visibility projects at once and driving them to outcomes. Even better... Experience building or deploying AI/LLM agents in production hands-on with the tools behind them (eval frameworks, agent tooling, RAG, prompt engineering) working closely with technical counterparts. You've been ...

track record of running multiple complex, high-visibility projects at once and driving them to outcomes. Even better... Experience building or deploying AI/LLM agents in production hands-on with the tools behind them (eval frameworks, agent tooling, RAG, prompt engineering) working closely with technical counterparts. You've been ...

manager, prop trading or systematic investment environment is advantageous, as is exposure to cloud, Kubernetes, workflow orchestration, SQL, distributed data processing and AI/LLM tooling. £120,000+ base + bonus | London If you're a strong Python/Quant Developer who wants significant ownership and the opportunity to help ...

just notebooks: system-level prompt design, agent architectures, tool use, RAG. An evaluation habit. You’ve built eval pipelines — golden datasets, regression suites, LLM-as-judge where it’s honest — and you can tell a good demo from a system that holds up in production. Strong software fundamentals : Python ...

design, build and deploy production-grade machine learning models that power highly personalised customer experiences. From recommendation algorithms and retrieval systems through to LLM-powered conversational AI, you’ll be working on products used by millions of customers every day. This is a highly collaborative role where you’ll partner ...

similarly quantitative field - Genuine curiosity about how AI systems behave in the wild, not just on a leaderboard - Experience with eval frameworks and LLM-as-judge setups, including their failure modes - Fine‐tuning, RLHF, DPO, or preference data collection - Built annotation or human‐evaluation pipelines, and managed the people doing ...

data management toolsApplication of AI and ML data requirements including feature stores, training data pipelines, data lineage, and model grounding techniques for GenAI or LLM use casesBackground in OSS environments including network automation, orchestration, inventory, assurance, and network management systemsExposure to telecom network domains including fixed, mobile ...

with Quality Engineers and SREs to ensure solutions meet quality, governance, and operational readiness expectations. Требования Strong Python development experience Hands-on experience with LLM and agent frameworks and agentic reasoning patterns Practical understanding of Model Context Protocol (MCP), including server and tool patterns Experience with FastAPI and REST ...

Architecture, AI Engineering, Solutions Engineering, Forward Deployed Engineering or technical consulting backgrounds.You’ll ideally bring strong experience across several of the following:• AI/LLM solution architecture• Agentic AI systems• RAG and retrieval architectures• Model APIs and orchestration frameworks• Microsoft Copilot Studio• Power Platform/Power Automate/Dataverse• Azure ...

assisted software development tools and engineering automation practices. Good knowledge of AI technologies including models, agents, evaluation frameworks and automated validation tooling. Understanding of LLM cost optimisation, including token monitoring, caching strategies and model selection considerations. Knowledge of approaches for managing and reducing token consumption costs.Deep understanding of observability, automated ...

assisted development tools such as GitHub Copilot and ChatGPT to accelerate delivery. Help shape the future evolution of the platform, including potential AI/LLM and semantic search capabilities. Key Skills & Experience: The Full Stack Engineer will have strong SQL Server/Azure SQL, including database design, data modelling, queries ...

Team. In this team, we build custom algorithms that use novel approaches to solve our business needs. This isn’t a prompt engineering or LLM role - finding a solution to our problems requires a deep understanding of Machine Learning, software development, and the problems themselves. You will be working with ...