11 of 11 Gen AI Engineer Jobs in the Thames Valley

Job Ad – Gen AI Engineer (Contract) – London, UK Role: Gen AI Engineer Location: London, United Kingdom (Office-based) Contract … Months Rate: £370/day (negotiable) About the Role: We are seeking a Senior Gen AI Engineer to develop and deploy advanced Generative AI products, including fine-tuning LLMs and implementing Graph RAG solutions. You will implement and optimize Gen AI agents for the Global Supply Chain, delivering scalable, secure … and cost-effective AI solutions. Key Responsibilities: Prototype and deploy Generative AI applications for business objectives. Implement LLMs, Graph RAG, and AI/ML solutions in production environments. Develop automated processes (LLMOps) and CI/CD pipelines. Collaborate with cross-functional teams to integrate AI into business workflows. Ensure security, compliance, and More ❯

re investing heavily in AI and automation to reimagine how we deliver customer service, field operations, and internal workflows. We’re now looking for an experienced Generative AI Engineer to lead the charge in developing and scaling intelligent systems and agentic applications that drive meaningful business outcomes. The Role As our Generative AI Engineer , you’ll be at the forefront of innovation, designing and deploying next-generation AI systems using large language models (LLMs), multi-agent frameworks, and cutting-edge GenAI tooling. You’ll partner closely with stakeholders across Product, Design, and Operations to translate business needs into intelligent, scalable applications. This role is hands-on and … on fairness, security, and governance in compliance with ethical standards. Required Skills & Experience 5+ years in AI/ML, with at least 1 year focused on Generative AI and NLP. Strong programming skills in Python; proficient in libraries such as NumPy, Pandas, scikit-learn, PyTorch, TensorFlow. Proven experience building and scaling GenAI applications in production. Expertise More ❯

Are you an AI engineer with strong software engineering fundamentals? Have you deployed AI models into production—not just trained them? Want to work on agentic systems, RAG pipelines, and LLM-powered tools? We're working with a high-growth GenAI consultancy building real-world, production-grade AI applications. With a team … diverse and technically challenging. With strong client demand and deep partnerships (including OpenAI), the team is scaling fast across the UK, Singapore, and Australia. As a Senior Applied AI Engineer, you’ll take ownership of designing and deploying AI-powered applications that solve real client problems. You’ll work across full-stack delivery, from … architecture to production deployment, collaborating with cross-functional teams and mentoring other engineers. Key Responsibilities Build and deploy scalable AI tools using Python and LLM APIs Design end-to-end agentic and RAG-based solutions for enterprise use Own delivery from proof-of-concept through to production Work with cloud-native architectures (e.g. AWS Lambda, Step Functions) Lead More ❯

Join us and help the world’s leading organizations unlock the value of technology and build a more sustainable, more inclusive world. YOUR ROLE We are looking for a GEN AI/ML Engineer who can collaborate with stakeholders to understand business challenges and translate them into technical solutions. Build and iterate AI-powered solutions, integrating LLMs and other AI components into business workflows. YOUR PROFILE Hands-on software development experience. Strong backend development skills. Proven experience with containerization (ECS, Fargate, Docker, Kubernetes). Experience with LLMs, vector databases, prompt engineering, and multi - agent frameworks, and distributed training on SageMaker, SLM fine-tuning. Strong experience with AWS, including deploying … applications. Excellent communication and stakeholder engagement skills. Ability to work in ambiguous, fast-moving environments with minimal oversight. Experience in financial services or regulated industries. Familiarity with AWS AI/ML toolsets such as Amazon Bedrock, SageMaker, Jumpstart, POD, Kendra, and Lambda. Exposure to DevOps tools and practices such as Terraform, Ansible, and CI/CD pipelines. Understanding More ❯

About the Role: We are looking for a Software Engineer – Generative AI to design, develop, and deploy advanced AI solutions, including fine-tuning Vision and Language Models (V/LLMs) and implementing Graph-based RAG (Retrieval-Augmented Generation) systems. As a key member of our Global Supply Chain GenAI Team , you will drive the … technical implementation of scalable, secure, and efficient Generative AI capabilities that enhance decision-making, optimize performance, and ensure responsible AI governance. This position plays a pivotal role in leveraging Generative AI technologies to modernize and automate the Global Supply Chain. The successful candidate will deliver innovative, reliable, and secure AI solutions that … aligned with business objectives. Combine data from multiple sources, ensuring data quality and reliability. Rapidly prototype user experiences for validation and testing. Implement LLMOps and automate workflows for AI lifecycle management. Build scalable, secure, and cost-efficient AI solutions for enterprise deployment. Troubleshoot and optimize AI/ML models and applications. Contribute to innovation More ❯

Our client is a leading multi-strategy hedge fund; seeking to hire an AI Engineer to advance their AI and machine learning initiatives across trading, risk, and research functions. This role offers the chance to work on impactful projects in a high-performance, data-driven environment. Responsibilities: Utilise generative AI to process … huge amounts of data Build and maintain robust AI tools and systems Collaborate closely with technical and non-technical teams to identify high-impact AI opportunities Ensure model scalability, performance, and reliability in live production environments Qualifications: 3+ years of software engineering experience, with recent experience developing AI/ML tools and applications Experience More ❯

Are you ready to build AI systems that think, reason, and act - not just predict? Have you led the development of complex agent-based architectures with real-world impact? Want to shape how advanced AI frameworks integrate into scalable, secure infrastructure? Why This Role is Great Our client - a pioneering UK-based tech organisation - is building … next-generation AI systems powered by multi-agent orchestration and generative AI. This role places you at the intersection of cutting-edge research and hands-on engineering. You'll lead the development of intelligent agents, deploy LLMs into real-world workflows, and manage scalable infrastructure that performs at the edge and in the cloud. With the freedom to … to deployment, you’ll be part of a small, high-trust team solving big, bold problems. What You’ll Get to Work On Designing and building multi-agent AI architectures using frameworks like LangGraph (or similar) Integrating LLMs and NLP models into workflows for reasoning, automation, and search Leading ML pipeline development , from ingestion to real-time inference More ❯

Are you ready to build AI systems that think, reason, and act - not just predict?Increase your chances of an interview by reading the following overview of this role before making an application. Have you led the development of complex agent-based architectures with real-world impact? Want to shape how advanced AI frameworks integrate into … scalable, secure infrastructure? Why This Role is Great Our client - a pioneering UK-based tech organisation - is building next-generation AI systems powered by multi-agent orchestration and generative AI. This role places you at the intersection of cutting-edge research and hands-on engineering. You'll lead the development of intelligent agents, deploy LLMs into real-world … to deployment, you'll be part of a small, high-trust team solving big, bold problems. What You'll Get to Work On Designing and building multi-agent AI architectures using frameworks like LangGraph (or similar) Integrating LLMs and NLP models into workflows for reasoning, automation, and search Leading ML pipeline development, from ingestion to real-time inference More ❯

Project Description: We are seeking highly skilled and motivated Generative AI Engineers to join our growing AI team. You will be responsible for designing, developing, and deploying cutting-edge Generative AI solutions using LLMs, Transformers, and Diffusion models. This role involves working on enterprise-grade applications such as intelligent chatbots, document summarization, code assistants … and more. Responsibilities: Design, prototype, and deploy Generative AI models (LLMs, Transformers, Diffusion models) for real-world enterprise use cases. Build and fine-tune LLM-based applications such as: - Chatbots - Document Q&A systems - Report generators - Code assistants - Summarization tools Apply prompt engineering, Retrieval-Augmented Generation (RAG), and context-aware pipelines to enhance model accuracy and relevance. Integrate … AI models with enterprise systems, APIs, and data stores using Python, Java, or Node.js. Collaborate with architects to define scalable, secure, and cost-efficient AI service architectures. Implement AI/ML pipelines for training, validation, and deployment using tools like MLflow, Vertex AI, or Azure ML. Monitor model performance, detect drift, and More ❯

RJC is partnered with a leading Commodities trading company that is looking to bring on a number of Strong AI Engineers in their London team. Working with large scale trade data, this is a good opportunity to work at the cutting edge of quant trading strategies and make a true impact to trading decisions. Essential Qualifications Strong Educational … background - MSc or PhD , Math, Physics, AI, or related technical field 5 years of commercial experience with at least 1 year working hands-on with LLMs Strong foundation in both AI/ML concepts and backend engineering principles Experience working in fast-paced environments Technical Skills LLM & Agent Development : Hands-on experience building applications with LLMs … implementing advanced prompting techniques and workflows Backend Engineering : Strong in n Python and backend frameworks (e.g. FastAPI, Django, Flask); understanding of distributed systems and scalable architectures AI/ML Frameworks : Experience with PyTorch, Hugging Face Transformers, LangChain, or similar frameworks for building LLM applications There are multiple headcount at various seniority, so please apply to arrange an initial More ❯

Data Science & GenAI Engineer (Senior and Lead Levels) — AI Agents, Structured Insights & Detection We’re pioneering Agentic AI — systems that don’t just respond, but reason, act, and adapt autonomously in complex workflows. This is about crafting AI Agent Experiences — designing agents that collaborate seamlessly with humans, learn from context, and make … engineers, other tech leads, directors, and the CTO to evolve ambitious prototypes into a rock‐solid, scalable platform. What you’ll actually do 50% Build — design & ship Agentic AI for CX: Real‐time assistants that listen to calls/chats, retrieve from customer KBs, and draft responses with human‐in‐the‐loop controls. Structured extraction: Schema‐driven pipelines … latency, and cost metrics. What makes you a great fit Startup hacker mindset: You self‐start from zero, respect no silos, and carry work from prototype to production. 🛠️ AI‐native dev tools are your daily drivers: Cursor, v0, Claude Code (or similar). 7–10 years building production ML/back‐end systems; 2+ years leading while coding. More ❯