1 to 25 of 300 LLM Jobs in the UK excluding London

agent behaviours, defining secure, scalable solution architectures. Build and maintain AI components (e.g. RAG, classification, recommendation, summarisation) using Python and modern ML/LLM frameworks. Implement end-to-end MLOps pipelines for development, testing, deployment and monitoring of Copilot and AI solutions, and deploy them into production environments (e.g. Microsoft ...

platforms for downstream data consumption, operational analytics and decision support. Experience architecting AI/ML and agentic automation solutions within trading technology estates, including LLM integration, RAG patterns, intelligent scheduling and predictive analytics. Familiarity with Agile/SAFe delivery frameworks at scale, with experience embedding architecture governance into sprint-based ...

Python development skills and deep experience with modern AI/ML frameworks and SDKs. Proven experience designing and deploying production-grade RAG solutions and LLM-powered applications. Strong experience building and deploying AI agents, orchestration frameworks, and automated workflows. Experience with Azure AI Services, Azure OpenAI, Azure Machine Learning ...

across digital sports media platforms. * Collaborate with product, data, and engineering teams to deliver AI-driven features and audience engagement tools. * Build and optimise LLM-powered applications, recommendation systems, and intelligent content workflows. * Develop and maintain robust data pipelines and model deployment infrastructure. * Implement monitoring, evaluation, and governance processes ...

systems Proven delivery across at least two of: Azure AI Foundry, Databricks, AWS (all three ideal) Deep expertise in GenAI, agentic AI, RAG patterns, LLM fine-tuning, and vector databases Strong Python foundations — PyTorch, Transformers, FastAPI, LangChain/LangGraph Experience with MLOps, CI/CD, IaC, and container orchestration ...

AI Engineer Location: London (Hybrid - 2-3 days per week onsite) Salary: £80,000 - £120,000 + Benefits Type: Permanent About 167 Solutions 167 Solutions is a specialist technology recruitment consultancy connecting organisations with exceptional ...

maintain analytical models using Python, SQL and cloud-based data platforms • Apply machine learning, AI and statistical techniques to business challenges • Work with NLP, LLM and Generative AI technologies where appropriate • Validate data, perform testing and ensure analytical output quality • Monitor model performance and support ongoing optimisation and governance • Contribute ...

adopt emerging AI and agent technologies. Hands-on experience with vector databases, embeddings, or prompt engineering. Understanding of AI fundamentals and experience using LLM APIs or AI-enhanced features and Agents. Experience with cloud services such as AWS, Azure, or serverless platforms. Interest in distributed systems, event-driven architectures ...

collaboration, and accountability for outcomes. The Role and Deliverables Design, build, and maintain production-grade AI-enabled applications consuming standardised GenAI services such as LLM-based capabilities, RAG, summarisation, and classification. Develop cloud-native microservice or full-stack applications using API-led architectures. Integrate AI capabilities securely and reliably ...

pipelines aligned to business strategy Implementing robust MLOps processes (CI/CD, model deployment, monitoring, governance) Delivering ML solutions for complex NLP and LLM use cases, including large-scale document processing Collaborating closely with Data Scientists to support model development, fine-tuning, and lifecycle management Supporting data integration ...

audit standards Champion scalable, secure, and efficient AI implementation. What We're Looking For Core Skills & Experience Strong experience in AI Engineering, ML/LLM applications, or intelligent automation Solid Java engineering background with production-quality coding practices Experience with CI/CD tools e.g., Jenkins, GitLab CI Hands ...

Express.js, Fastify MongoDB AWS Vue.js, Nuxt.js Nice to Have – AI Experience Not essential, but a big bonus: Integrating AI/ML models Working with LLM APIs (OpenAI, Anthropic, etc.) Prompt engineering AI workflow tools (LangChain, Flowise) Building internal AI automation tools Benefits This company genuinely invests in its people. ...

adopt emerging AI and agent technologies. Hands-on experience with vector databases, embeddings, or prompt engineering. Understanding of AI fundamentals and experience using LLM APIs or AI-enhanced features and Agents. Experience with cloud services such as AWS, Azure, or serverless platforms. Interest in distributed systems, event-driven architectures ...

translate data labelling methodologies into scalable product functionality.* Design and implement annotation workflows, task allocation systems and evaluation tooling.* Integrate and orchestrate multiple LLM providers and AI APIs.* Own and maintain cloud infrastructure and deployment pipelines.* Manage infrastructure using Terraform on Google Cloud Platform (GCP), including Cloud Run and Cloud ...

Extensive experience (10+ years) in senior technology leadership roles within digitally enabled, platform-driven, or media-led environments Hands-on experience with AI and LLM platforms (e.g. Claude, GPT), including an understanding of capabilities, trade-offs, and enterprise adoption Working knowledge of Model Context Protocol (MCP) and agentic AI architectures ...

machine learning, deep learning, and probabilistic modeling. Proficient in Python, PySpark, data modeling, and microservices. Experience in MLOps, AI lifecycle management, and LLM orchestration on cloud platforms (AWS, GCP, Azure). Familiar with DevOps tools (Azure DevOps, GitHub Actions, Jenkins, Terraform, AWS CloudFormation). Industry Experience: Hands-on experience with ...

machine learning, deep learning, and probabilistic modeling. Proficient in Python, PySpark, data modeling, and microservices. Experience in MLOps, AI lifecycle management, and LLM orchestration on cloud platforms (AWS, GCP, Azure). Familiar with DevOps tools (Azure DevOps, GitHub Actions, Jenkins, Terraform, AWS CloudFormation). Industry Experience: Hands-on experience with ...

machine learning, deep learning, and probabilistic modeling. Proficient in Python, PySpark, data modeling, and microservices. Experience in MLOps, AI lifecycle management, and LLM orchestration on cloud platforms (AWS, GCP, Azure). Familiar with DevOps tools (Azure DevOps, GitHub Actions, Jenkins, Terraform, AWS CloudFormation). Industry Experience: Hands-on experience with ...

machine learning, deep learning, and probabilistic modeling. Proficient in Python, PySpark, data modeling, and microservices. Experience in MLOps, AI lifecycle management, and LLM orchestration on cloud platforms (AWS, GCP, Azure). Familiar with DevOps tools (Azure DevOps, GitHub Actions, Jenkins, Terraform, AWS CloudFormation). Industry Experience: Hands-on experience with ...

industry events - Demonstrated ability to adapt to new technologies and learn quickly in fast-moving competitive landscape - Proficiency with design, deployment, and evaluation of LLM-powered agents and tools and orchestration approaches (e.g., Strands Agents SDK, LangGraph, CrewAI) Amazon is an equal opportunities employer. We believe passionately that employing ...

Kanban). Desirable: - Experience with DBT (Data Build Tool) or Prefect. - Awareness of AI/ML data preparation and the security implications of LLM training data. - Knowledge of housing, asset management, or repairs systems (ideally Civica Cx and Total Mobile Service Connect). Experience - Implemented and operated cloud-based data ...

proven stakeholder management ability. Ability to work hybrid from Bristol. Desirable Experience with modern front-end frameworks (React, Next.js or similar). Familiarity with LLM APIs and Gen AI frameworks (e.g. OpenAI, Anthropic, LangChain). Knowledge of CI/CD pipelines and Infrastructure as Code (e.g. CDK, Terraform). Experience ...

principles Feature flags, dark launching or similar release techniques AI-assisted development tools such as GitHub Copilot, Cursor, Claude Code or similar Exposure to LLM-powered agents, APIs or pipelines using tools such as OpenAI, Anthropic, LangChain or similar Why consider it? This is a chance to join a growing ...

Duration: Initial 6 months (with strong extension potential) About the Role We're supporting a leading organisation looking to hire an experienced LLM/Generative AI Engineer to design and deliver advanced GenAI solutions.This is a hands-on contract role suited to someone with deep expertise in Large Language Models … GenAI applications. You'll play a key role in delivering innovative AI capabilities that drive real business value. Key Responsibilities Design, build, and deploy LLM-powered applications and GenAI solutions Develop and optimise prompt engineering strategies for performance and accuracy Implement RAG (Retrieval-Augmented Generation) pipelines using structured and unstructured ...

they are focused on responsibly augmenting human data with advanced machine learning and synthetic intelligence. The Role Design, build, and deploy Generative AI and LLM-based solutions for synthetic data generation and data augmentation Develop and validate statistical and machine learning methodologies to ensure data quality, reliability, and trust Work ...