10 of 10 Permanent LLM Jobs in Bolton

and engineering teams to bring these ideas to life, helping to shape both the technical direction and the AI strategy. Expect to spend your time on: Building and productionising LLM-based features and GenAI workflows. Using frameworks like LangChain, PyTorch, and TensorFlow to bring models into production. Working with AWS Bedrock, SageMaker, or GCP Vertex AI to deliver scalable cloud … have: Around 7 years' experience as a Software Engineer or Machine Learning Engineer. A strong grounding in Python, with hands-on experience building and shipping AI/ML or LLM-driven products. Experience with cloud ML platforms (AWS SageMaker, Bedrock, Vertex AI, etc.). Familiarity with LangChain or similar orchestration frameworks. A solid understanding of MLOps and how to take More ❯

About RAAS Lab RAAS Lab is transforming digital advertising with Relevance AI —technology that connects brand messaging with the most relevant content and context in real time. This creates measurable outcomes for advertisers and sustainable value for premium publishers without More ❯

AI/LLM Engineer/Architect (Contract) - RAG Implementation| London (mostly remote) - Outside IR35 We're looking for a highly skilled AI/LLM Engineer/Architect to lead the implementation of Retrieval Augmented Generation (RAG) solutions for a major client project in London. This is a hands-on contract role for someone who can build from the ground up … clear understanding of what good looks like for production AI systems What You'll Bring Proven experience delivering RAG implementations in production environments Strong background in Agentic development and LLM system design Experience with MCP or similar model control frameworks Hands-on experience with ML Ops tooling and workflows (CI/CD, model lifecycle, monitoring) Deep understanding of security and More ❯

with Python, FastAPI, SQL, and orchestration tools, taking automation-generated code and making it production-ready. You’ll also be a champion of AI-assisted development, helping to embed LLM-based workflows into day-to-day engineering processes. Key Responsibilities Build and enhance backend features and integrations (Python, FastAPI, gRPC, SQL). Extend auto-generated pipelines and front-end automation … outputs. Develop connectors for APIs, files, and external systems. Integrate LLM-based capabilities with strong testing and monitoring practices. Lead best practices for AI-assisted coding tools Collaborate closely with cross-functional teams including Data and Platforms About You Strong experience with Python backend and API development Skilled in SQL, data modelling, and workflow orchestration tools Daily user of AI More ❯

Technology Director As Technology Director, you will be responsible for defining and executing the organisation’s technology vision. You will lead engineering, development, data, and product technology teams, ensuring that the company’s digital platforms are highly scalable, secure, innovative More ❯

Scientist (LLMs) Location: Manchester, UK (Hybrid – 3 days in the office) Build the Future of AI-Powered Communication We’re looking for a Data Scientist to join our growing LLM team, building production-ready large language models that power real enterprise applications. You’ll help train models, create datasets, and push performance boundaries in a fast-moving, research-driven environment. … What You’ll Do Train and fine-tune LLMs and ML models using standardised experiments and high-quality data. Build and improve LLM-based systems for low-latency RAG systems, intent detection, call scoring, and email classification. Support real-time inference infrastructure with ultra-low latency and detailed monitoring. Create and maintain evaluation datasets to test safety, prompt following, and … conversational quality. Collaborate with engineers and researchers to apply new ideas from the latest LLM and ML research. What We’re Looking For MSc or PhD in Computer Science, Data Science, Mathematics, Physics, or a related field. Strong Python skills (pandas, NumPy, scikit-learn, PyTorch). Curiosity, rigour, and drive to improve model performance. Why Join Us Work on real More ❯

integrate them into sites, videos and real‐world systems. We’re looking for an AI Infrastructure Engineer to build and scale the systems behind the AI video generation and LLM models. You’ll work at the intersection of machine learning and cloud infrastructure, ensuring our models run efficiently, reliably, and cost-effectively at scale. Key Responsibilities Design, deploy, and manage … ML infrastructure on AWS (SageMaker) and Kubernetes Build scalable pipelines for LLM and video generation models Optimise model inference, latency, and costs Implement monitoring, logging, and alerting for production systems Collaborate with ML teams to productionize new models Manage compute scaling, security, and compliance Develop automation and tooling for smoother ML operations Skills & Experience Strong Python skills and production coding More ❯

in its first phase , scaling to £30–50M in the coming years. You’ll be working at the heart of an executive-backed programme, shaping a product that combines LLM agents, digital twins, synthetic data replicates, and agentic workflow modelling —all built on cutting-edge Python, GCP, and Vertex AI foundations. What You’ll Be Doing Taking full engineering and … multi-£billion turnover . What We’re Looking For Senior engineering authority with proven delivery of ML/MLOps platforms into production. Hands-on expertise in Python, Cloud and LLM solutions and model lifecycle management . Ability to operate in a high-visibility, high-stakes environment with resilience and confidence. Strong stakeholder influence skills, including C-suite interactions. Track record … deployment. Why This Role? Impact & Scale: This is not R&D for R&D’s sake—this is a multi-million-pound, revenue-generating AI initiative. Innovation: Synthetic data, LLM agents, digital twins, and next-gen agentic workflows. Visibility: Direct exposure to the executive leadership team of a global market leader. Growth: Play a pivotal role in modernising a traditional More ❯

Product Owner (AI) - Manchester Hybrid Salary : £55,000 About the Role We are seeking a Product Owner with a strong focus on AI/ML products who thrives in dynamic, fast-paced environments and enjoys working closely with small, high More ❯

Senior Data Analyst | SQL | Python | Amplitude | Remote Europe | Up to £100K Maze is partnering exclusively with a rapidly scaling, AI-powered technology company in the digital economy to hire a Senior Data Analyst . This is a high-impact role More ❯