176 to 200 of 210 Retrieval-Augmented Generation Jobs in England

production (e.g., MLOps, CI/CD for ML, model versioning) Build systems that integrate AI into key parts of our stack, such as: Forecasting customer demand and renewable generation Dynamic pricing and energy trading algorithms Intelligent alerts and personalized customer features Work closely with product and engineering leadership to identify high-impact AI opportunities Build and lead a … product teams Clear communication and an ability to prioritize for both experimentation and reliability Bonus Familiarity with optimization, time series modeling, or forecasting Experience with large language models (LLMs), RAG, or generative AI in production Background in MLOps or AI infrastructure at scale Competitive salary and a stock options sign-on bonus Biannual bonus scheme Fully expensed tech to match More ❯

production (e.g., MLOps, CI/CD for ML, model versioning) Build systems that integrate AI into key parts of our stack, such as: Forecasting customer demand and renewable generation Dynamic pricing and energy trading algorithms Intelligent alerts and personalized customer features Work closely with product and engineering leadership to identify high-impact AI opportunities Build and lead a … product teams Clear communication and an ability to prioritize for both experimentation and reliability Bonus Familiarity with optimization, time series modeling, or forecasting Experience with large language models (LLMs), RAG, or generative AI in production Background in MLOps or AI infrastructure at scale Competitive salary and a stock options sign-on bonus Biannual bonus scheme Fully expensed tech to match More ❯

and help lay the foundations for their Agentic AI Journey. What you'll do: Architect and deploy robust, multi-agent systems using Google's ADK Design and implement advanced RAG pipelines to provide agents with deep contextual understanding Design, build, and maintain a suite of secure and scalable Model Context Protocol MCP servers Own the full lifecycle of agent development … from initial design and prototyping to deployment, monitoring, and continuous improvement Experience required: Proven background in similar AI/ML Roles Strong proficiency in Python & SQL Demonstrable experience with RAG, Agentic AI, Googles ADK (Or similar LLM Application frameworks), API Design & Consumption Role details: AI Engineer Hybrid - 3 days p/w in Central London £60,000 - 75,000/ More ❯

support secure, air-gapped AI deployments, with a focus on NLP-based tooling * Develop pipelines for transcription ingestion and real-time analytical insight generation * Support graph and RAG-based inference layers using data from structured and unstructured sources * Build and expose APIs for frontend consumption, enabling natural-language querying, dynamic visualisation, and reporting * Ensure system portability via containerisation … clear grasp of the constraints and workarounds involved * Comfort designing APIs for real-time and batch AI/ML pipelines. * Experience supporting or building graph-based systems (e.g., for RAG or knowledge graph traversal) is a plus Experience working with LLMs, vector stores, or transcription pipelines Experience in Defence, aerospace, or other secure environments Due to the nature and urgency More ❯

Doing: Architecting and implementing secure backend services to support AI deployments in classified settings Developing transcription ingestion pipelines and real-time insight generation capabilities Supporting graph and RAG-based inference pipelines using structured and unstructured data Exposing robust APIs for frontend engineers to deliver interactive dashboards and NLP-driven workflows Ensuring system portability via containerisation (Kubernetes, Docker) Collaborating … of Postgres or similar databases Proven experience building real-time or batch AI/ML pipelines with strong API design (Bonus) Exposure to LLMs, vector databases, transcription pipelines, or RAG systems (Bonus) Prior work in Defence, aerospace, or national security environments Why This Project? This isn’t another generic SaaS deployment. You’ll be building backend systems that enable critical More ❯

serve humanity. We're training and deploying frontier models for developers and enterprises who are building AI systems to power magical experiences like content generation, semantic search, RAG, and agents. We believe that our work is instrumental to the widespread adoption of AI. We obsess over what we build. Each one of us is responsible for contributing to More ❯

serve humanity. We're training and deploying frontier models for developers and enterprises who are building AI systems to power magical experiences like content generation, semantic search, RAG, and agents. We believe that our work is instrumental to the widespread adoption of AI. We obsess over what we build. Each one of us is responsible for contributing to … for Agents team, you will make a meaningful impact on the development of better and fairer Large Language Models (LLMs). Your primary focus will be on data generation, post-training algorithms, and evaluation methods to ensure Safety in the next generation of models that can access external resources and take actions in the world. You … and data annotation teams, and will also collaborate with product and policy teams. This role combines expertise in machine learning, ethical and responsible AI, experimental design, and data generation and management. It will require curiosity to tackle totally new scientific problems, engineering skills to implement the pieces we need to test solutions to these, and a desire to More ❯

join our client in Pharma/Life Sciences. You'll be designing and building data infrastructure for an AI/ML solution and lead on prototyping and developing a RAG platform on AWS. You'll need: - Extensive AWS Data Engineering experience (S3, EC2, Glue, Lambada etc.) - NoSQL/MongoDB - Strong understanding of Data Modelling, ETL/ELT, DWH concepts - Docker …/EKS containerisation tooling - Experience building and maintaining pipelines for data workflows (CI/CD - RAG or LLM based data system experience If this sounds like you please reach out. More ❯

learning theories, and pedagogical best practices; Engineer context structures integrating with existing curricula and learning pathways; Develop dynamic frameworks adapting to diverse cultural and educational contexts Build and optimize RAG systems for intelligent content surfacing; Design multi-modal context systems integrating text, audio, visual elements; Implement real-time context adaptation based on learner progress Curate and structure educational content repositories … successful in this role, you will ideally have/be: AI/ML fundamentals including LLMs, NLP, and system architecture Programming proficiency in Python with AI/ML frameworks RAG systems and vector database experience Previous experience in educational technology, AI/ML applications, or digital learning product development (desirable) Proven experience in database design, API development, and data pipeline More ❯

learning theories, and pedagogical best practices; Engineer context structures integrating with existing curricula and learning pathways; Develop dynamic frameworks adapting to diverse cultural and educational contexts Build and optimize RAG systems for intelligent content surfacing; Design multi-modal context systems integrating text, audio, visual elements; Implement real-time context adaptation based on learner progress Curate and structure educational content repositories … successful in this role, you will ideally have/be: AI/ML fundamentals including LLMs, NLP, and system architecture Programming proficiency in Python with AI/ML frameworks RAG systems and vector database experience Previous experience in educational technology, AI/ML applications, or digital learning product development (desirable) Proven experience in database design, API development, and data pipeline More ❯

Amex GBT is a place where colleagues find inspiration in travel as a force for good and through their work can make an impact on our industry. Were here to help our colleagues achieve success and offer an inclusive and More ❯

with the central AI team, MarTech, Data, and Compliance . THE ROLE: AI roadmap for marketing communications and engagement. Own key products: conversational assistants, content generation, and RAG search. Take each product from discovery to launch and scale. Build “governance-lite” controls: usage logging, prompt review, risk tiers, data rules. Align with enterprise AI policy, privacy, and regulatory … to ship MVPs fast. THE CANDIDATE'S EXPERIENCE: End-to-end ownership of an AI platform or capability used by ~1,000+ users. Strong knowledge of LLMs, conversational design, RAG, and prompt practices. Proven change leadership: you have driven ≥50% adoption with training and comms. Governance mindset: you have designed guardrails that pass risk and legal review. Working grasp of More ❯

with the central AI team, MarTech, Data, and Compliance . THE ROLE: AI roadmap for marketing communications and engagement. Own key products: conversational assistants, content generation, and RAG search. Take each product from discovery to launch and scale. Build “governance-lite” controls: usage logging, prompt review, risk tiers, data rules. Align with enterprise AI policy, privacy, and regulatory … to ship MVPs fast. THE CANDIDATE'S EXPERIENCE: End-to-end ownership of an AI platform or capability used by ~1,000+ users. Strong knowledge of LLMs, conversational design, RAG, and prompt practices. Proven change leadership: you have driven ≥50% adoption with training and comms. Governance mindset: you have designed guardrails that pass risk and legal review. Working grasp of More ❯

serve humanity. We're training and deploying frontier models for developers and enterprises who are building AI systems to power magical experiences like content generation, semantic search, RAG, and agents. We believe that our work is instrumental to the widespread adoption of AI. We obsess over what we build. Each one of us is responsible for contributing to … on our mission and shape the future! Why this role? Agentic LLM systems are being deployed widely across enterprise companies including through Cohere's North platform. The Next Generation Agents team is exploring the horizon of modeling techniques to improve agent capabilities (e.g., deep-research, learning-from-experience, continual learning, and memory). We work in an empirical … you will help drive exploration and development of agentic techniques. You will have the opportunity to build the models that power our agentic solutions. This includes developing data-generation techniques for post-training (SFT and RL ) Cohere's models. Please Note: We have offices in London, Toronto, San Francisco, and New York, but we also embrace being remote More ❯

serve humanity. We're training and deploying frontier models for developers and enterprises who are building AI systems to power magical experiences like content generation, semantic search, RAG, and agents. We believe that our work is instrumental to the widespread adoption of AI. We obsess over what we build. Each one of us is responsible for contributing to More ❯

part of a small, elite, cross-functional team. What You’ll Be Doing: Designing and implementing NLP pipelines for transcription, topic extraction, and summarisation Developing modular LLM workflows (e.g., RAG, graph-based reasoning) optimised for low-resource deployments Integrating structured and unstructured data: transcripts, policy documents, supply chain models Collaborating with platform engineers to containerise models for edge inference Defining … experience building and deploying NLP/LLM solutions, including summarisation, entity extraction, and topic modelling Strong Python skills with libraries such as HuggingFace Transformers, spaCy, PyTorch/TensorFlow, or RAG frameworks Experience with knowledge graphs, GNNs, or graph-enabled retrieval Proven ability to optimise ML systems for air-gapped, low-compute, or edge environments Understanding of evaluation methods More ❯

Scientist into their AI Research team, focusing on LLMs, RAGs, Agent-based systems and multimodal AI. Responsibilities: Lead the technical design and implementation of sophisticated LLM-based systems, including RAG, agent-based architectures, and multimodal AI solutions. Oversee the lifecycle of LLM projects, from model pre-training and fine-tuning to evaluation and deployment, ensuring alignment with advanced use cases. …/ML Exp. developing, fine-tuning, and deploying LLMs. Solving algo problems from end-to-end Exp. preparing data, then training models on GPUs Proficient in advanced methodologies like RAG and agent systems, keeping up to date with latest tech, papers, and understanding the theory behind advanced models. Expertise in frameworks such as PyTorch, TensorFlow, and Hugging Face. Strong understanding More ❯

Scientist into their AI Research team, focusing on LLMs, RAGs, Agent-based systems and multimodal AI. Responsibilities: Lead the technical design and implementation of sophisticated LLM-based systems, including RAG, agent-based architectures, and multimodal AI solutions. Oversee the lifecycle of LLM projects, from model pre-training and fine-tuning to evaluation and deployment, ensuring alignment with advanced use cases. …/ML Exp. developing, fine-tuning, and deploying LLMs. Solving algo problems from end-to-end Exp. preparing data, then training models on GPUs Proficient in advanced methodologies like RAG and agent systems, keeping up to date with latest tech, papers, and understanding the theory behind advanced models. Expertise in frameworks such as PyTorch, TensorFlow, and Hugging Face. Strong understanding More ❯

you'll get to: Design and build data pipelines that feed our AI automation systems Create end-to-end automation solutions using Python and Windmill Implement data infrastructure for RAG systems and agentic AI workflows Build and maintain data lakes, warehouses, and real-time processing systems Develop React-based frontends when needed for data visualization and automation tools Leverage AI … finished article, however, some experience in the following is important for this role: Strong Python skills and experience with data pipelines (pandas, SQLAlchemy, Airflow) Deep understanding of modern AI (RAG, agentic AI, MCP, vector databases) Skilled in designing scalable data architectures and working with structured/unstructured data How We Work (This is Critical) We operate with extreme autonomy. There More ❯

you'll get to: Design and build data pipelines that feed our AI automation systems Create end-to-end automation solutions using Python and Windmill Implement data infrastructure for RAG systems and agentic AI workflows Build and maintain data lakes, warehouses, and real-time processing systems Develop React-based frontends when needed for data visualization and automation tools Leverage AI … finished article, however, some experience in the following is important for this role: Strong Python skills and experience with data pipelines (pandas, SQLAlchemy, Airflow) Deep understanding of modern AI (RAG, agentic AI, MCP, vector databases) Skilled in designing scalable data architectures and working with structured/unstructured data How We Work (This is Critical) We operate with extreme autonomy. There More ❯

serve humanity. We're training and deploying frontier models for developers and enterprises who are building AI systems to power magical experiences like content generation, semantic search, RAG, and agents. We believe that our work is instrumental to the widespread adoption of AI. We obsess over what we build. Each one of us is responsible for contributing to … tangible, high-performance products that drive our enterprise forward. You will be working directly on North, Cohere's all-in-one secure AI workspace platform, driving agent development in RAG, tool use, and language agents. With one of the highest compute-to-engineer ratios in the world, we provide an environment where your ideas can flourish and be rapidly brought … that underpin our suite of dev-centric enterprise products. Work directly on North, Cohere's all-in-one secure AI workspace platform. Here you will drive agent development in RAG, tool use, and language agents embedded in North. Quickly research and experiment with novel ideas on our supercomputer and data infrastructure, ensuring our products remain at the forefront of the More ❯

Conversational AI technologies, like natural language understanding/generation, dialog systems, machine translation, and information retrieval. Experience of developing information retrieval systems, Fine Tuning for RAG & Direct Preference optimisation Experience of ML Ops environments & platforms The more experience you have of adapting LLM's for different domains the better (although this isn't a must have More ❯

serve humanity. We're training and deploying frontier models for developers and enterprises who are building AI systems to power magical experiences like content generation, semantic search, RAG, and agents. We believe that our work is instrumental to the widespread adoption of AI. We obsess over what we build. Each one of us is responsible for contributing to … will work on identifying and removing performance bottlenecks, develop cutting-edge training and profiling tools to help Cohere's mission of providing efficient and reliable language understanding and generation capabilities and drive innovation in the field of natural language processing. Please Note: We have offices in London, Toronto, San Francisco, New York but also embrace being remote-friendly More ❯

serve humanity. We're training and deploying frontier models for developers and enterprises who are building AI systems to power magical experiences like content generation, semantic search, RAG, and agents. We believe that our work is instrumental to the widespread adoption of AI. We obsess over what we build. Each one of us is responsible for contributing to More ❯

serve humanity. We're training and deploying frontier models for developers and enterprises who are building AI systems to power magical experiences like content generation, semantic search, RAG, and agents. We believe that our work is instrumental to the widespread adoption of AI. We obsess over what we build. Each one of us is responsible for contributing to More ❯