76 to 100 of 573 LLM Jobs in London

but operating as a tech lead in a flat structure. What they’re after: 5+ years’ experience building enterprise-grade software (Python, microservices, distributed systems) Proven track record deploying LLM-based applications Clear evidence of Software skills (CI/CD etc.) Ability to lead small teams, own solutions end-to-end, and mentor engineers Strong communicator with experience working in More ❯

Key Responsibilities Design and deliver AI & data strategies across portfolio companies and internal teams Lead technical diligence on AI-readiness and opportunities during deal evaluation Build and deploy reusable LLM/AI/ML systems (agents, copilots, etc.) to unlock value Define governance frameworks across risk, explainability, audit, and compliance Own internal AI transformation—deploying tools, platforms, and training programmes More ❯

Key Responsibilities Design and deliver AI & data strategies across portfolio companies and internal teams Lead technical diligence on AI-readiness and opportunities during deal evaluation Build and deploy reusable LLM/AI/ML systems (agents, copilots, etc.) to unlock value Define governance frameworks across risk, explainability, audit, and compliance Own internal AI transformation—deploying tools, platforms, and training programmes More ❯

Knowledge of financial data and systems (Bloomberg, SimCorp Dimension) preferred. Understanding of investment management workflows (portfolio management, risk, compliance, performance reporting). Experience with GitHub and AI tools (OpenAI, LLM APIs, agentic workflows). Qualifications: Bachelor’s degree in Computer Science, Quantitative Finance, Data Engineering/Analytics/Science, or related field. 2+ years of experience in data engineering, BI More ❯

Knowledge of financial data and systems (Bloomberg, SimCorp Dimension) preferred. Understanding of investment management workflows (portfolio management, risk, compliance, performance reporting). Experience with GitHub and AI tools (OpenAI, LLM APIs, agentic workflows). Qualifications: Bachelor’s degree in Computer Science, Quantitative Finance, Data Engineering/Analytics/Science, or related field. 2+ years of experience in data engineering, BI More ❯

e.g. NumPy, Pandas), plus familiarity with deep learning tooling like PyTorch Expertise in a wide range of ML methods, including supervised and unsupervised learning, time series, or NLP and LLM/GenAI based projects. Ability to scope and structure solutions around ambiguous business problems, turning them into tractable pipelines Confident in managing small technical teams, reviewing work, and setting standards More ❯

and supporting delivery on key technical initiatives. Establish engineering best practices across performance, reliability, and security. Oversee the design and implementation of AI-driven systems — including multi-agent orchestration, LLM integration, and data pipelines (LangChain, LangSmith, vector databases). Drive continuous improvement in CI/CD, cloud infrastructure, and deployment processes (Docker, Kubernetes, AWS). Mentor engineers, recruit top talent More ❯

and backend services using Python, TypeScript, Go, Rust, or similar technologies. Design and ship backend systems from day one — scalable architectures, APIs, and AI-powered tools. Build and deploy LLM-based applications using frameworks such as LangChain, semantic search, RAG, and fine-tuning (SFT/RL). Develop backend logic and data pipelines to power intelligent automation and real-time More ❯

and backend services using Python, TypeScript, Go, Rust, or similar technologies. Design and ship backend systems from day one — scalable architectures, APIs, and AI-powered tools. Build and deploy LLM-based applications using frameworks such as LangChain, semantic search, RAG, and fine-tuning (SFT/RL). Develop backend logic and data pipelines to power intelligent automation and real-time More ❯

e.g. NumPy, Pandas), plus familiarity with deep learning tooling like PyTorch Expertise in a wide range of ML methods, including supervised and unsupervised learning, time series, or NLP and LLM/GenAI based projects. Ability to scope and structure solutions around ambiguous business problems, turning them into tractable pipelines Confident in managing small technical teams, reviewing work, and setting standards More ❯

understanding of cloud architecture. Exposure to UX/UI design and customer-focused development. Collaborative approach with a growth mindset and passion for problem-solving. Familiarity with AI/LLM technologies would be a bonus! The ideal candidate is someone who thrives in start-up environments where ideas move quickly, and impact is immediate. You’ll enjoy taking ownership, solving More ❯

understanding of cloud architecture. Exposure to UX/UI design and customer-focused development. Collaborative approach with a growth mindset and passion for problem-solving. Familiarity with AI/LLM technologies would be a bonus! The ideal candidate is someone who thrives in start-up environments where ideas move quickly, and impact is immediate. You’ll enjoy taking ownership, solving More ❯

to design and deliver scalable APIs, system components, and observability layers that enable extensibility and reuse. Collaborate with AI/ML teams to integrate capabilities such as semantic search, LLM-powered assistants, personalization, and classification systems. Write PRFAQs and technical narratives that align senior leadership, drive clarity across functions, and accelerate high-judgment decisions. Engage directly with CIOs, analysts, and More ❯

to design and deliver scalable APIs, system components, and observability layers that enable extensibility and reuse. Collaborate with AI/ML teams to integrate capabilities such as semantic search, LLM-powered assistants, personalization, and classification systems. Write PRFAQs and technical narratives that align senior leadership, drive clarity across functions, and accelerate high-judgment decisions. Engage directly with CIOs, analysts, and More ❯

technical stakeholders. In addition to the above, we would LOVE if you have Experience with vector databases and retrieval strategies. Knowledge of recommender systems and ranking models. Familiarity with LLM evaluation tools (e.g., RAGAS, TruLens, LangSmith, Arize). Exposure to feature stores, data lineage, and observability stacks. Experience in e-commerce or retail environments. Demonstrable ability to weigh up build …/build/configure decisions in the LLM space. Charlotte Tilbury is a fast-paced and dynamic environment where nimble mindsets, striving to deliver the best and wanting to be part of a global are key. Even though we have requirements, our experience and background are just a guide, we still love to welcome applicants with more or less experience More ❯

series forecasting, and anomaly detection. You need to know the concept and be handly with the most common libraries - Model Hosting and Monitoring: Host and monitor NLP models and LLM for real-time and batch inference. - Develop Monitoring Systems: Create and support robust models for monitoring. - Support and Innovate: Assist with a long tail of super important tasks, bringing innovative More ❯

series forecasting, and anomaly detection. You need to know the concept and be handly with the most common libraries - Model Hosting and Monitoring: Host and monitor NLP models and LLM for real-time and batch inference. - Develop Monitoring Systems: Create and support robust models for monitoring. - Support and Innovate: Assist with a long tail of super important tasks, bringing innovative More ❯

systems Ability to mentor, guide, and upskill engineers within the team Familiarity with or eagerness to advance in: Model Context Protocol for managing context and tool interfaces for agents LLM integration patterns including prompt orchestration, multi-agent planning and tool calling Retrieval-Augmented Generation (RAG) for dynamic context injection Model selection/A/B testing/observability What Will More ❯

Champion best practices in model deployment, evaluation, and optimisation. What were looking for Strong track record in ML leadership, ideally in production-scale AI systems. Expertise in Agentic AI, LLM-based architectures, NLP techniques, and generative AI models. Solid programming skills (Python preferred) and experience with ML frameworks such as PyTorch, TensorFlow, Hugging Face. Hands-on experience with prompt engineering More ❯

and perform advanced searches with ElasticSearch. You’ll contribute to developing a cloud-native data platform that processes and indexes large-scale web data Refine search algorithms and explore LLM-based features You will play a key role in advancing their microservices-based, event-driven architecture. What you’ll bring: 3+ years of commercial software engineering experience with Python (FastAPI More ❯

and perform advanced searches with ElasticSearch. You’ll contribute to developing a cloud-native data platform that processes and indexes large-scale web data Refine search algorithms and explore LLM-based features You will play a key role in advancing their microservices-based, event-driven architecture. What you’ll bring: 3+ years of commercial software engineering experience with Python (FastAPI More ❯

through to production. What we’re looking for 3+ years of hands-on engineering experience in production environments. Strong Python skills. Experience with Generative AI : LLMs and RAG. Adapting LLM for use as a Q&A System. 👉 Apply now and help define the future of Defence AI. More ❯

through to production. What we’re looking for 3+ years of hands-on engineering experience in production environments. Strong Python skills. Experience with Generative AI : LLMs and RAG. Adapting LLM for use as a Q&A System. 👉 Apply now and help define the future of Defence AI. More ❯

will continuously collaborate across internal stakeholders to ensure the models being built are improving customer experience, and business efficiency. What we're looking for: Experienced ML Engineer, working across LLM, Computer Vision, NLP, Deep Learning Experience with deploying ML models into production An understanding of emerging technologies - such as Retrieval-Augmented Generation (RAG) and Knowledge Graphs A proactive mindset to More ❯

will continuously collaborate across internal stakeholders to ensure the models being built are improving customer experience, and business efficiency. What we're looking for: Experienced ML Engineer, working across LLM, Computer Vision, NLP, Deep Learning Experience with deploying ML models into production An understanding of emerging technologies - such as Retrieval-Augmented Generation (RAG) and Knowledge Graphs A proactive mindset to More ❯