26 to 43 of 43 Recommender Systems Jobs in England

building data pipelines, batch or streaming, that support the desired outcomes Working with engineers and architects so your work fits cleanly into existing systems Making sure what you build is reliable in production and moves the needle on agreed metrics, not just offline benchmarks Explaining design decisions to both … technical stakeholders GenAI work You will work with GenAI in ways that are grounded in real use cases and business value: Building RAG systems that improve search, content discovery or productivity rather than existing for their own sake Implementing guardrails so models do not leak PII or generate harmful ...

building data pipelines, batch or streaming, that support the desired outcomes Working with engineers and architects so your work fits cleanly into existing systems Making sure what you build is reliable in production and moves the needle on agreed metrics, not just offline benchmarks Explaining design decisions to both … technical stakeholders GenAI work You will work with GenAI in ways that are grounded in real use cases and business value: Building RAG systems that improve search, content discovery or productivity rather than existing for their own sake Implementing guardrails so models do not leak PII or generate harmful ...

building data pipelines, batch or streaming, that support the desired outcomes Working with engineers and architects so your work fits cleanly into existing systems Making sure what you build is reliable in production and moves the needle on agreed metrics, not just offline benchmarks Explaining design decisions to both … technical stakeholders GenAI work You will work with GenAI in ways that are grounded in real use cases and business value: Building RAG systems that improve search, content discovery or productivity rather than existing for their own sake Implementing guardrails so models do not leak PII or generate harmful ...

building data pipelines, batch or streaming, that support the desired outcomes Working with engineers and architects so your work fits cleanly into existing systems Making sure what you build is reliable in production and moves the needle on agreed metrics, not just offline benchmarks Explaining design decisions to both … technical stakeholders GenAI work You will work with GenAI in ways that are grounded in real use cases and business value: Building RAG systems that improve search, content discovery or productivity rather than existing for their own sake Implementing guardrails so models do not leak PII or generate harmful ...

building data pipelines, batch or streaming, that support the desired outcomes Working with engineers and architects so your work fits cleanly into existing systems Making sure what you build is reliable in production and moves the needle on agreed metrics, not just offline benchmarks Explaining design decisions to both … technical stakeholders GenAI work You will work with GenAI in ways that are grounded in real use cases and business value: Building RAG systems that improve search, content discovery or productivity rather than existing for their own sake Implementing guardrails so models do not leak PII or generate harmful ...

building data pipelines, batch or streaming, that support the desired outcomes Working with engineers and architects so your work fits cleanly into existing systems Making sure what you build is reliable in production and moves the needle on agreed metrics, not just offline benchmarks Explaining design decisions to both … technical stakeholders GenAI work You will work with GenAI in ways that are grounded in real use cases and business value: Building RAG systems that improve search, content discovery or productivity rather than existing for their own sake Implementing guardrails so models do not leak PII or generate harmful ...

building data pipelines, batch or streaming, that support the desired outcomes Working with engineers and architects so your work fits cleanly into existing systems Making sure what you build is reliable in production and moves the needle on agreed metrics, not just offline benchmarks Explaining design decisions to both … technical stakeholders GenAI work You will work with GenAI in ways that are grounded in real use cases and business value: Building RAG systems that improve search, content discovery or productivity rather than existing for their own sake Implementing guardrails so models do not leak PII or generate harmful ...

building data pipelines, batch or streaming, that support the desired outcomes Working with engineers and architects so your work fits cleanly into existing systems Making sure what you build is reliable in production and moves the needle on agreed metrics, not just offline benchmarks Explaining design decisions to both … technical stakeholders GenAI work You will work with GenAI in ways that are grounded in real use cases and business value: Building RAG systems that improve search, content discovery or productivity rather than existing for their own sake Implementing guardrails so models do not leak PII or generate harmful ...

Machine Learning Engineer – Agentic LLM Systems (Contract) We’re working with a leading tech organisation building agentic AI systems – LLMs that can plan, reason, call tools, and write/execute code. We’re hiring a Machine Learning Engineer to help design and scale these systems into production. … focus on making LLM agents reliable, scalable, and useful in real products. You will: Design and build tools, workflows, and infrastructure for agentic LLM systems Work with researchers to diagnose and fix failures in agent-generated code Develop frameworks for tool-calling, multi-step planning, and orchestration Build ...

Senior Data Scientist - Recommender Systems Experience Salaries in the region of £65,000 - £75,000 DoE Hybrid working - 2 days central London office Job Reference J13031 Full UK working rights required/no sponsorship available Immediate requirement - strong leadership skills We are seeking for an experienced, passionate ...

Senior Data Scientist - Recommender Systems Experience Salaries in the region of £65,000 - £75,000 DoE Hybrid working - 2 days central London office Job Reference J13031 Full UK working rights required/no sponsorship available Immediate requirement - strong leadership skills We are seeking for an experienced, passionate ...

Senior Data Scientist - Recommender Systems Experience Salaries in the region of £65,000 - £75,000 DoE Hybrid working - 2 days central London office Job Reference J13031 Full UK working rights required/no sponsorship available Immediate requirement - strong leadership skills We are seeking for an experienced, passionate ...

technical excellence. Promote a data-driven culture through experimentation, storytelling and clear communication.? What you'll bring: Proven experience implementing or optimising revenue management systems and pricing strategies. Strong background in optimisation and machine learning (time-series forecasting, regression, mathematical optimisation). Experience leading or managing data scientists … cloud environment (AWS or similar). Comfortable working with large, imperfect datasets and making sound, pragmatic decisions. Familiarity with recommender systems, personalisation or generative AI is a plus.? Contract & package: 11-month fixed-term contract (maternity cover). Hybrid working - typically 1 day per week ...

improve discovery, user experience, and recommendation quality at scale. The environment is fast-moving, collaborative, and focused on bringing practical AI into live systems that support millions of transactions across unique and varied inventory types. You’ll work at the intersection of engineering, product, and data to help design … recommendation infrastructure that learns and adapts in real time. What You’ll Be Doing Develop recommendation systems using a blend of collaborative, content-based, and innovative techniques (reinforcement learning, LLMs, etc.) to help surface relevant results for users Work on learning-to-rank models that fine-tune search ...

improve discovery, user experience, and recommendation quality at scale. The environment is fast-moving, collaborative, and focused on bringing practical AI into live systems that support millions of transactions across unique and varied inventory types. You’ll work at the intersection of engineering, product, and data to help design … recommendation infrastructure that learns and adapts in real time. What You’ll Be Doing Develop recommendation systems using a blend of collaborative, content-based, and innovative techniques (reinforcement learning, LLMs, etc.) to help surface relevant results for users Work on learning-to-rank models that fine-tune search ...

stack) • React.js/Next.js • Vue.js or Svelte (optional) • HTML, CSS, Tailwind, TypeScript Backend • Node.js, Python, or Go • REST APIs and/or GraphQL • Authentication systems (OAuth, JWT) • Database design & management (SQL or NoSQL) AI & Machine Learning Experience with LLMs (OpenAI, Anthropic, Llama, etc.) Knowledge of: Fine-tuning or embedding … based retrieval Recommender systems Vector databases (Pinecone, Weaviate, Chroma, or similar) Prompt engineering & system design for LLM-driven features Experience building: Matching algorithms Ranking models Skill-based recommendation engines DevOps/Infrastructure • Cloud platforms (AWS, GCP, Azure, or DigitalOcean) • CI/CD pipelines • Containerisation (Docker) • Scalability architecture ...

junior team members Provide technical guidance and influence business decisions Requirements: Strong expertise in machine learning and statistical modeling Experience deploying production ML systems at scale Advanced SQL and sound software engineering practices Excellent communication and collaboration skills Preferred: Experience in travel, ecommerce, or retail Familiarity with deep learning … recommender systems, or cloud platforms Note: Sponsorship is not available for this role. ...

junior team members Provide technical guidance and influence business decisions Requirements: Strong expertise in machine learning and statistical modeling Experience deploying production ML systems at scale Advanced SQL and sound software engineering practices Excellent communication and collaboration skills Preferred: Experience in travel, ecommerce, or retail Familiarity with deep learning … recommender systems, or cloud platforms Note: Sponsorship is not available for this role. ...