176 to 200 of 635 LLM Jobs in London

Responsibilities Design, build, and maintain AI/ML models and pipelines for Joybuy's international platform, covering areas such as personalisation, recommendation, NLP/LLM applications, computer vision, and fraud detection. Own end-to-end machine learning lifecycle from problem formulation and data exploration to model training, evaluation, deployment, monitoring … challenges. Effective communication skills in English. Preferred Qualifications Work experience in large-scale e-commerce companies or high-traffic consumer-facing platforms. Experience with LLM fine-tuning, RAG architectures, or generative AI applications. Experience building multilingual or cross-market AI systems for European/global audiences. Experience with real-time ...

Responsibilities Design, build, and maintain AI/ML models and pipelines for Joybuy's international platform, covering areas such as personalisation, recommendation, NLP/LLM applications, computer vision, and fraud detection. Own end-to-end machine learning lifecycle from problem formulation and data exploration to model training, evaluation, deployment, monitoring … challenges. Effective communication skills in English. Preferred Qualifications Work experience in large-scale e-commerce companies or high-traffic consumer-facing platforms. Experience with LLM fine-tuning, RAG architectures, or generative AI applications. Experience building multilingual or cross-market AI systems for European/global audiences. Experience with real-time ...

Responsibilities Design, build, and maintain AI/ML models and pipelines for Joybuy's international platform, covering areas such as personalisation, recommendation, NLP/LLM applications, computer vision, and fraud detection. Own end-to-end machine learning lifecycle from problem formulation and data exploration to model training, evaluation, deployment, monitoring … challenges. Effective communication skills in English. Preferred Qualifications Work experience in large-scale e-commerce companies or high-traffic consumer-facing platforms. Experience with LLM fine-tuning, RAG architectures, or generative AI applications. Experience building multilingual or cross-market AI systems for European/global audiences. Experience with real-time ...

frameworks such as Next.js or Vite . GenAI Frameworks : Familiarity with tools like LangChain , LangGraph , CrewAI , or Vercel AI (in Python or JavaScript). LLM experience : Practical experience with Large Language Models (LLMs) such as OpenAI , Anthropic , Mistral , or Llama , and tools like Ollama . Cloud Platforms : Proficiency … Hands-on experience with Docker , Kubernetes , and Docker Compose . Infrastructure as Code (IaC) : Exposure to tools like Terraform . Monitoring Tools : Familiarity with LLM monitoring tools like Langsmith , Langfuse , or similar. CI/CD : Experience with continuous integration and deployment tools such as GitLab , GitHub , or Jenkins . Database ...

Summary The AI Innovation and Solutions (AIS) team operates with the speed and spirit of a startup, focused on rapidly prototyping and building production‐grade, cloud‐native AI applications that integrate cutting‐edge AI capabilities ...

A global financial services firm is seeking an AI Application Engineer to design, build, and deploy cloud-native AI applications. This role involves leading development efforts, collaborating with various teams, and ensuring rapid delivery of ...

degree in Computer Science, Engineering, Mathematics, Physics, or a related technical discipline (or equivalent practical experience). Preferred Experience Experience with Generative AI or LLM research. Master's or PhD in Machine Learning, Artificial Intelligence, Computer Science, Mathematics, Physics, or a related field. Research or industry experience developing AI agents ...

degree in Computer Science, Engineering, Mathematics, Physics, or a related technical discipline (or equivalent practical experience). Preferred Experience Experience with Generative AI or LLM research. Master's or PhD in Machine Learning, Artificial Intelligence, Computer Science, Mathematics, Physics, or a related field. Research or industry experience developing AI agents ...

degree in Computer Science, Engineering, Mathematics, Physics, or a related technical discipline (or equivalent practical experience). Preferred Experience Experience with Generative AI or LLM research. Master's or PhD in Machine Learning, Artificial Intelligence, Computer Science, Mathematics, Physics, or a related field. Research or industry experience developing AI agents ...

large language models or AI systems Strong experience with AI coding agents. For example, having extensively used and compared frontier coding agents. Experience with LLM‐as‐a‐judge setups Experience designing and running experiments, analyzing results, and iterating based on empirical findings (e.g., prompting, scaffolding, agent design, fine‐tuning ...

with AI coding agents. For example, having extensively used and compared frontier coding agents. For example, having designed/developed coding agents Experience with LLM-as-a-judge setups Experience designing and running experiments, analyzing results, and iterating based on empirical findings (e.g., prompting, scaffolding, agent design, fine-tuning ...

including integrating with third‐party tools via APIs, CLIs, and MCP servers. Strong data engineering skills: pipelines that handle large volumes reliably in production, LLM‐powered enrichment steps, and a focus on improving data quality. Experience shipping user‐facing products or internal platforms people love: interviewing users, hunting down friction ...

with technical engineers and non-technical stakeholders. Required Skills & Experience Technical Knowledge Agentic Frameworks: Basic knowledge of orchestration ecosystems like LangChain, AutoGen, or CrewAI. LLM Foundations: Strong grasp of Large Language Models, prompt engineering, and semantic memory patterns. Tool-Use Integration: Clear understanding of function calling, data pipelines, and external ...

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 ...

collaboration and innovation, supported by a hybrid work model that fosters teamwork and mentorship. Ideal candidates will have a PhD and extensive experience in LLM, MLLM, and Computer Vision, alongside strong programming skills in Python and deep learning frameworks. #J-18808-Ljbffr ...

APIs and managed services, security gateways, IAM/least privilege, logging/observability, data residency and egress controls). Strong understanding of AI/LLM capabilities and risks across the lifecycle (model onboarding/ingestion, retrieval/RAG patterns, model serving) and associated control points (traceability, access, data handling), including ...

execution rather than experimentation for experimentation’s sake. Scope of Role Design, build and deploy AI-powered products and applications Develop production-grade LLM solutions and agentic workflows Build RAG architectures and knowledge retrieval systems Integrate AI applications with internal platforms, tools and business systems Identify opportunities where ...

infrastructure. The Role Depending on level, responsibilities are likely to include: Designing and building scalable AI systems and internal AI tooling Developing and deploying LLM-powered applications and agentic workflows Working across retrieval systems, prompt engineering and orchestration frameworks Building production-grade APIs and AI services Partnering with senior stakeholders ...

complex scientific and industrial challenges Build robust, well-tested code and clear technical documentation Work with proprietary Bayesian data science tools, while using modern LLM and GPT-based tools to enhance and accelerate your workflow Explore new models, methods and technologies, applying them where they add genuine value Contribute ...

complex scientific and industrial challenges Build robust, well-tested code and clear technical documentation Work with proprietary Bayesian data science tools, while using modern LLM and GPT-based tools to enhance and accelerate your workflow Explore new models, methods and technologies, applying them where they add genuine value Contribute ...

experience, ideally within a highly agile environment. Fullstack development experience. Strong experience with AWS and Kubernetes. Strong Terraform experience. Good knowledge of AI and LLM's Good infrastructure as code experience. Experience of common algorithms and data structures. What you'll get in return : Initial 6-month contract with extensions. ...

/FastAPI + React/TypeScript or equivalent) ✅ Solid SQL & data modelling instincts — comfortable in data-heavy B2B products ✅ Bonus: experience with agentic/LLM-powered products, tool use, evals, guardrails ✅ Bonus: API integrations (MCP, webhooks, OAuth) + cloud deployment (AWS) Direct AI/ML experience isn't a hard ...

/FastAPI + React/TypeScript or equivalent) ✅ Solid SQL & data modelling instincts — comfortable in data-heavy B2B products ✅ Bonus: experience with agentic/LLM-powered products, tool use, evals, guardrails ✅ Bonus: API integrations (MCP, webhooks, OAuth) + cloud deployment (AWS) Direct AI/ML experience isn't a hard ...

/FastAPI + React/TypeScript or equivalent) ✅ Solid SQL & data modelling instincts — comfortable in data-heavy B2B products ✅ Bonus: experience with agentic/LLM-powered products, tool use, evals, guardrails ✅ Bonus: API integrations (MCP, webhooks, OAuth) + cloud deployment (AWS) Direct AI/ML experience isn't a hard ...

needs into clear technical designs and architectural decisions Shape data platforms, integrations, and automation capabilities Support integration of AI-enabled solutions (eg automation, analytics, LLM-based services) Collaborate with engineers, analysts, and delivery teams to ensure solutions are delivery-ready Define and assure non-functional requirements (performance, security, resilience, scalability ...