26 to 50 of 393 LLM Jobs in England

debate and align to unified decisions. Own operability: CI/CD, monitoring/alerting, performance optimisation, safe rollbacks. Build and integrate AI features (LLM/agent workflows, RAG/vector DB integration, eval hooks, cost/safety guardrails). Help evolve our reusable product templates and shared architecture across ...

Applied ML Engineer Deep hands-on knowledge of Google Cloud Platform (Vertex AI, BigQuery, Cloud Run, GKE, Pub/Sub) Proven track record building LLM, GenAI, or traditional ML solutions end-to-end Comfortable in startup or scale-up environments — fast-moving, iterative, delivery-focused Strong Python engineering experience Experience ...

define Generative AI opportunities and use cases Lead client workshops and shape AI strategy and roadmaps Architect and deliver scalable AI solutions, including LLM and agent-based systems Lead end to end delivery of complex AI projects across global teams Mentor engineers and data scientists and drive best practice ...

scalable API platforms. Key Responsibilities Own the technical strategy and execution across the company’s core products, including real-time APIs, data pipelines, and LLM-powered analytics. Collaborate closely with Product and Data Science to deliver a forward-thinking technology roadmap. Lead, mentor, and scale a high-performing engineering team ...

other regulatory checkpoints. Implement automation across entity matching, data validation, and workflow orchestration using AI/ML. Implement agentic AI and LLM-based services to streamline onboarding, document processing, and exception handling. Ensure compliance with data privacy, data sovereignty, and regulatory architecture patterns (e.g., regional sharding, zero-data copy patterns ...

data science solutions to tackle business challenges at pace. Inferring, predicting or forecasting using appropriate machine learning techniques. Experience of designing and deploying LLM-powered analytics, for example for summarisation, topic modelling, or translation. Quantitatively evaluating data science and AI solutions using novel designs and data sets. Using cloud computing ...

data science solutions to tackle business challenges at pace. Inferring, predicting or forecasting using appropriate machine learning techniques. Experience of designing and deploying LLM-powered analytics, for example for summarisation, topic modelling, or translation. Quantitatively evaluating data science and AI solutions using novel designs and data sets. Using cloud computing ...

data science solutions to tackle business challenges at pace. Inferring, predicting or forecasting using appropriate machine learning techniques. Experience of designing and deploying LLM-powered analytics, for example for summarisation, topic modelling, or translation. Quantitatively evaluating data science and AI solutions using novel designs and data sets. Using cloud computing ...

data science solutions to tackle business challenges at pace. Inferring, predicting or forecasting using appropriate machine learning techniques. Experience of designing and deploying LLM-powered analytics, for example for summarisation, topic modelling, or translation. Quantitatively evaluating data science and AI solutions using novel designs and data sets. Using cloud computing ...

data science solutions to tackle business challenges at pace. Inferring, predicting or forecasting using appropriate machine learning techniques. Experience of designing and deploying LLM-powered analytics, for example for summarisation, topic modelling, or translation. Quantitatively evaluating data science and AI solutions using novel designs and data sets. Using cloud computing ...

business strategy, enterprise standards, and regulatory requirements. Key Responsibilities: Enterprise AI Architecture & Roadmap: Define and maintain the AI reference architecture and implementation roadmap, covering LLM platforms, data pipelines, knowledge graphs, APIs, microservices, and event-driven architectures across hybrid cloud environments. Governance & Standards: Establish AI governance frameworks, policies, and playbooks ...

Build, clean, and maintain AI-ready datasets, working with large-scale biological and medical data Support the development and optimisation of machine learning and LLM-based systems Assist in designing and improving data pipelines for structured and unstructured biomedical data Contribute to experimentation, testing, and validation of AI models Document ...

Contract Machine Learning Engineer (LLM & GC) 6-Month Contract | Outside IR35 | £600 per day We are seeking an experienced Machine Learning Engineer to support the design and build, production ready ML models on Google Cloud Platform (GCP). This is a hands-on delivery role, focused on turning models into ...

. You will work on creative cutting-edge AI applications, turning data into impactful solutions. What You Will Do Build and deploy ML and LLM-based solutions Prepare data, engineer features, and ensure quality Fine-tune, evaluate, and optimise LLMs and other models Develop scalable data pipelines across cloud systems ...

serious upside this is exactly that. Required Skills: 25 years experience in AI/ML Engineering or Applied AI roles Experience building or deploying LLM-driven applications or tools Strong Python skills and familiarity with modern AI tooling Understanding of prompt engineering, evaluation, and model performance Experience working in fast ...

platform engineering experience (Python, Go, or Java) Experience with distributed systems and cloud (GCP preferred) Hands-on Kubernetes and cloud-native tooling Familiarity with LLM frameworks (e.g., LangChain, CrewAI) Experience with vector databases and RAG CI/CD and infrastructure-as-code skills Understanding of AI reliability, monitoring, and governance ...

engagement. As a Gen AI Architect, you will: Lead the design and delivery of AI and cloud-native architectures, including Generative AI, NLP, and LLM solutions. Retrieval-Augmented Generation (RAG) and CAG (Cache Augmented) Architecture: Defining architectural patterns for end-to-end pipelines Act as a trusted advisor to senior ...

Product & Technical programme Management (The Architects):- Drive the roadmap for GenAI integration within safety workflows.- Define the "Safety Standard" for AI responses and manage LLM-powered triaging.- Success Metric: Reduce "Safety False Negatives" and ensure smooth transitions from AI to human safety agents. 2. Data Science & Analytics (The Strategists):- Build ...

Product & Technical programme Management (The Architects): - Drive the roadmap for GenAI integration within safety workflows. - Define the "Safety Standard" for AI responses and manage LLM-powered triaging. - Success Metric: Reduce "Safety False Negatives" and ensure smooth transitions from AI to human safety agents. 2. Data Science & Analytics (The Strategists): - Build ...

engineering, or data science Hands-on experience with Azure AI services, Microsoft 365 integration, and Power Platform Strong skills in Python, APIs, and modern LLM frameworks Experience building automation workflows or agentic AI systems Ability to take concepts from prototype to production-ready solutions Strong communication and problem-solving skills ...

Software Engineer – AI and Data, Permanent – West Midlands. Artificial Intelligence, AI, Machine Learning, ML, MLOps, LLM, Statistical Analysis, Software, Python, Data, Prompt Engineering. Due to continued growth and investment in Tech, this leading edge organisation is looking to the market for an AI Developer to join an exciting team looking ...

Software Engineer AI and Data, Permanent West Midlands. Artificial Intelligence, AI, Machine Learning, ML, MLOps, LLM, Statistical Analysis, Software, Python, Data, Prompt Engineering. Due to continued growth and investment in Tech, this leading edge organisation is looking to the market for an AI Developer to join an exciting team looking ...

architectures Key skills Cloud engineering (Azure, Kubernetes, serverless, DevOps) Python and relational databases (SQL) Data platforms, ETL/ELT, and analytics AI tools and LLM integrations (e.g. GPT, Claude, Gemini) Security, governance, and regulated environment experience Why this team? Work in a high-performing, cooperative team Exposure to advanced ...

architectures Key skills Cloud engineering (Azure, Kubernetes, serverless, DevOps) Python and relational databases (SQL) Data platforms, ETL/ELT, and analytics AI tools and LLM integrations (e.g. GPT, Claude, Gemini) Security, governance, and regulated environment experience Why this team? Work in a high-performing, cooperative team Exposure to advanced ...

product mindset with strong collaboration across engineering, product and design teams Nice to Have Experience using Python within product development Exposure to AI/LLM-driven products Experience with microservices architectures What’s on Offer £90,000 – £110,000 base salary Bonus scheme Hybrid working (2 days per week ...