1 to 25 of 39 LLM Jobs in the West Midlands

leadership. What we’re looking for Essential Deep software/systems engineering (Python/TypeScript, distributed systems, CI/CD). Applied‐AI expertise: LLM/RAG engineering; evaluation; telemetry/drift monitoring; versioning and release management. Cloud architecture (Azure/AWS/GCP), Kubernetes/Docker, serverless ...

building and improving machine learning solutions such as predictive models, segmentation and forecasting. The team is also exploring and delivering Generative AI/Large Language Model solutions, providing opportunities to work with modern AI technologies alongside established machine learning techniques. You’ll build a detailed understanding of relevant datasets, apply ...

engineering, architecture, and platform leadership experience. Demonstrate 8+ years delivering AI/ML platforms in production environments. Proven experience architecting and deploying Agentic AI, LLM, and Generative AI solutions at scale. Strong background in Financial Services, Banking, Insurance, Healthcare, or other regulated industries. Demonstrated experience leading large engineering teams … delivering enterprise AI platforms from strategy through implementation and operationalisation. Demonstrate expertise in Multi-Agent Systems, Agentic AI Architecture, Retrieval Augmented Generation (RAG), LLM Application Design, Prompt Engineering, Responsible AI, and AI Evaluation Frameworks. Experience with LangChain, LangGraph, Semantic Kernel, and AutoGen. Hands-on experience with Azure AI Foundry/ ...

HTML/CSS REST APIs/JSON Strong SDLC experience Previous technical leadership or mentoring experience Desirable: Dynamics 365 Business Central, AL, AI/LLM, Azure, Java, SQL Server/data warehousing or Tableau. A great opportunity for a Senior Developer/Technical Lead who wants to stay hands ...

version control systems like GitLab and Artifactory Practical knowledge of Linux and Windows operating systems Hands-on experience with AI-native engineering, including LLM platforms and prompt engineering Familiarity with infrastructure as code using Terraform Experience with relational databases like PostgreSQL and AlloyDB Frontend development skills using React and TypeScript ...

Comfortable working across an AI-enabled stack, with depth in some areas and willingness to grow others AI & Automation Experience building production AI/LLM applications, agents, or workflows (e.g. Azure OpenAI, Copilot Studio, or equivalent) Understanding of agent patterns, orchestration, tool use, and LLM limitations Integration & APIs Experience with ...

with structured qualitative classification of free-text data where automated methods fall short, and transparent about it AI-directed analysis Hands-on experience using LLM tools (Claude, Copilot, ChatGPT) for substantive analysis, not just drafting or summarising Understanding of how to structure reliable, repeatable AI instructions, with interest in developing ...

Inc. is seeking an experienced Python AI Engineer to build and productionise Generative AI and RAG solutions, spanning AI orchestration, retrieval, evidence processing, LLM integration, and response validation. You will collaborate with engineering, data and platform teams to deliver production-grade services and robust AI workflows with tool calling ...

working monitoring and documentation. Technical skills Essential Programming: Strong Python (async, typing, testing, packaging). Working competence in TypeScript/Node is a plus. LLM application engineering: Hands‐on production experience with frontier models, prompt and context engineering, structured outputs, tool and function calling, streaming, token and context‐window management. … Data engineering: Building ingestion and enrichment pipelines over messy structured and unstructured sources, documents, PDFs, object storage. Evaluation: Building eval harnesses and eval datasets, LLM‐as‐judge with its limits understood, regression testing of prompts and agents, metric selection per use case. Cloud: Production delivery on AWS (incl. Bedrock), Azure ...

deployment Drive technical decisions and trade-offs, communicating rationale clearly to both engineering peers and non-technical stakeholders Leverage generative AI tools (coding assistants, LLM APIs, AI-augmented workflows) to accelerate development, improve code quality, and build AI-powered features into products Architect and implement cloud-native systems using containerized … MongoDB, Cosmos) including data modeling, query optimization, and understanding trade-offs between storage technologies Hands-on experience with generative AI tools and APIs (e.g., LLM-assisted coding, prompt engineering, integrating AI services into applications) Solid experience with cloud platforms in production (AWS, Azure, or GCP), including containerization (Docker, Kubernetes ...

The Fuel Store in Birmingham is seeking a DataAnalyst/AI Engineer to design, build, and deploy AI-driven data solutions. You will lead end-to-end data projects, turning complex datasets into business insights ...

Strong experience with Microsoft Copilot/Copilot Studio Strong experience with Microsoft Power Platform and workflow automation Experience building and deploying production AI/LLM applications, agents or AI-powered workflows Experience with Azure OpenAI, Azure AI/AI Foundry or comparable AI platforms Understanding of agentic AI patterns, orchestration … tool use, prompt design and LLM limitations Strong API and systems integration experience, including REST and/or GraphQL Experience designing reusable services, connectors and integration components Microsoft Azure experience across services such as Functions, containers and AI services Strong CI/CD, Git and automated testing experience Experience with ...

Nice to have Experience with configuration management, workflow builders, or multi-tenant SaaS platforms HIPAA-regulated or compliance-heavy environment experience Voice/telephony, LLM, or conversational AI product experience Background building tools used by healthcare operations or IT teams Top-tier health coverage: medical, dental & vision 401(k) Paid ...

experienced Python AI Engineer to build and productionise Generative AI and RAG solutions. You’ll work across AI orchestration, retrieval, evidence processing, LLM integration, response generation and validation, collaborating with engineering, data and platform teams. Key Responsibilities Build and maintain production-grade Python AI/RAG services. Develop multi-step … Generative AI and RAG solutions into production. Hands‐on experience with Pydantic, LangGraph, Semantic Kernel/Microsoft Agent Framework or similar. Strong understanding of LLM integration, structured outputs, tool calling, prompt/model management and fallback strategies. Strong knowledge of embeddings, vector/lexical search, hybrid retrieval, query decomposition, chunking ...

websites and microsites, including content publishing via WordPress and AI-supported HTML/CSS/JS, ongoing design improvement, SEO, PPC optimisation and LLM citation strategy. Web leads are the key route to the company's growth objectives. Responsible for building and maintaining a library of AI tools and workflows ...

workbenches Tech stack: Java, Python, AngularJS, Angular AI & Machine Learning: Collaborate on next-gen AI features, from statistics and time series forecasting to LLM inference. Build next-generation features like cross-provider LLM APIs or integration with the latest Machine Learning models Collaborate with research teams on innovative machine learning ...

pipeline metrics) and act on alerts. Work with ML/agentic automation teams to integrate or evaluate agent-based workflows where applicable (e.g. controlled LLM agents, orchestration of multi-step automated tasks). Apply ORM and database design principles (entity modelling, relationships, normalization, indexing, ORMs such as SQLAlchemy/Entity … familiarity with software development life-cycle practices (version control, code review, unit and integration testing, release management). Experience or demonstrable understanding of agentic LLM or automation frameworks, or experience integrating automated agents safely into production workflows. Knowledge of ORM database concepts and experience applying them in data models ...

websites and microsites, including content publishing via WordPress and AI-supported HTML/CSS/JS, ongoing design improvement, SEO, PPC optimisation and LLM citation strategy. Web leads are the key route to the company's growth objectives. Responsible for building and maintaining a library of AI tools and workflows ...

websites and microsites, including content publishing via WordPress and AI-supported HTML/CSS/JS, ongoing design improvement, SEO, PPC optimisation and LLM citation strategy. Web leads are the key route to the company's growth objectives. Responsible for building and maintaining a library of AI tools and workflows ...

drive experimentation, modeling, and evaluation, partnering closely with engineers to translate validated approaches into scalable, customer-facing solutions. Key Responsibilities: Develop and implement NLP, LLM, and generative AI approaches (e.g., RAG, prompt strategies, patent search). Define agentic workflows and reasoning strategies for multi-step IP tasks. Develop retrieval strategies … needs. Requirements: Degree in a quantitative or technical field (Statistics, Computer Science, Mathematics, Data Science, etc.). Strong experience in machine learning, NLP, and LLM-based modeling. Strong experience designing and running experiments, including model evaluation and iteration. Strong coding skills in Python. Experience with generative AI techniques (e.g., prompt ...

scale, ensuring results are dependable, auditable, and consistent with established IP metrics. Establish prompt engineering standards, evaluation harnesses, and quality frameworks to govern LLM behaviour and maintain output accuracy in production. Partner with Product Management to assess technical feasibility and shape the AI roadmap, translating product goals into deliverable system … professional software engineering expertise, with experience in a dedicated AI/ML architecture, principal engineer, or distinguished engineer role. Proven track record delivering production LLM-based systems, including RAG pipelines, agentic/tool-use frameworks, and multi-step reasoning workflows. Strong proficiency in Python for AI service development; working knowledge ...

AI Engineers – Newcastle – £60,000 to £120,000 per year DOE –On-site We are delighted to be working with a leading technology consultancy that is expanding its specialist AI and engineering team. We are ...

diagrams, and rationale aligned with business and compliance requirements. Apply risk‐based and threat‐based approaches to recommend secure and proportionate solutions. Agentic AI & LLM Security Architecture You will be responsible for shaping security controls around emerging AI ecosystems, including: Designing security architectures for agent‐based AI systems , including orchestration … frameworks, tool‐use agents, and multi‐agent workflows. Implementing AI/LLM security controls across: Model security (input/output filtering, model guardrails) Prompt security, adversarial prompt defense, prompt isolation API & orchestration security, including secure agent tool use Data security for vector stores, embeddings, and retrieval services Performing AI‐specific ...

deployment Key Responsibilities Analyse large structured and unstructured datasets to extract insights, trends, and business value. Design, build, and optimise AI pipelines, including LLM-powered applications, RAG systems, finetuning workflows. Develop scalable production systems using Python, SQL, NoSQL, APIs for cloud infrastructure (Azure). Develop AI Assistants and automation tools … Qualified or demonstratable Azure environment experience. Key Skills & Technologies Programming & Frameworks: SQL, NoSQL,FastAPI, Git & MSPowerAppSuite AI: Classification, Regression, Clustering, Deep Learning, Time Series, LLM Agents, RAG Cloud & Deployment: Azure AI, Databricks. Data Visualization: Power BI, Excel, Copilot Studio Our Culture TFS are in the simplicitybusinessand we are building ...

Join a leading UK professional services firm as it expands its use of AI, automation and modern application technologies. You will build the DevOps foundations that move solutions from proof of concept into secure, reliable ...