26 to 50 of 90 LLM Jobs in the Midlands

engineer wanting to specialise in AI development. What you'll be doingDevelop production-ready AI-enabled software applications. Build and maintain backend services supporting LLM and ML functionality. Integrate OpenAI, Anthropic and other AI models into enterprise software. Create scalable APIs and microservices for intelligent applications. Work with cloud infrastructure ...

Join Kainos and Shape the Future At Kainos, we’re problem solvers, innovators, and collaborators - driven by a shared mission to create real impact. Whether we’re transforming digital services for millions, delivering cutting-edge ...

9NET CoreAzureAzure OpenAIOpenAI APIsSemantic KernelVector DatabasesSQL ServerREST APIsMicroservicesDockerWhat we're looking forStrong commercial experience developing backend applications in C# and .NET.Experience integrating AI or LLM technologies into production software.Understanding of RAG, embeddings, prompt engineering and vector search.Experience building scalable cloud-based applications using Azure.A genuine interest in Applied ...

9NET CoreAzureAzure OpenAIOpenAI APIsSemantic KernelVector DatabasesSQL ServerREST APIsMicroservicesDockerWhat we're looking forStrong commercial experience developing backend applications in C# and .NET.Experience integrating AI or LLM technologies into production software. Understanding of RAG, embeddings, prompt engineering and vector search. Experience building scalable cloud-based applications using Azure. A genuine interest ...

GenAI engineer to design and implement scalable AI applications in the UK. You will leverage Python and state-of-the-art frameworks to deploy LLM-powered solutions, handle large-scale data architectures, and integrate multi-modal models into production-grade systems. You will work across data modernization, RAG architectures ...

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 ...

addressing cross-component conflicts and ensuring the product works coherently end to end from a functional perspective. LSEG Risk Intelligence increasingly uses AI and LLM-based capabilities both within its products and across the software delivery lifecycle. Experience in AI-enabled product design or AI-assisted delivery would therefore ...

/ticketing data. Handling incomplete, inconsistent or changing enterprise data. Known-vs-unknown or confidence-based classification. Semantic matching and contextual retrieval. Deterministic + LLM hybrid workflows. Human-in-the-loop workflows and approval gates. LLM/agent evaluation and output validation. Guardrails, audit trails and observability. Preferred Domain Experience … investigation. Qualifications 5–8 years of professional experience in software engineering, AI/ML engineering, data engineering, GenAI or related roles. Demonstrated experience building LLM/GenAI applications beyond proof-of-concept chatbots. Practical experience implementing agentic workflows, tools or orchestration. Strong analytical, debugging and problem-solving skills. Ability ...

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 ...

with ITSM platforms, collaboration tools and enterprise applications. Develop workflow automations using Power Platform, APIs and orchestration frameworks . Apply RAG, prompt engineering and LLM technologies to enterprise use cases. Digital Workplace Transformation Deliver AI-powered Digital Workplace solutions. Implement intelligent employee self-service capabilities. Develop Copilot-enabled workflows … management and operational excellence. Ensure AI automation solutions are reliable, scalable and maintainable. Required Technical Skills AI & Generative AI Azure OpenAI Services GPT/LLM models RAG Prompt Engineering AI Agents/Agentic AI Semantic Kernel LangChain and/or LangGraph Microsoft Technologies Microsoft Copilot Microsoft Copilot Studio Power Automate ...

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 ...

Accenture is seeking AI Native Software Engineers to design, build and deploy production-grade AI systems in London and Birmingham. Role offers work across Agentic and Applied AI, with scope varying by experience and ownership. ...

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 ...

Our client is a leading UK fashion and home retailer. We are looking for a Data Scientist to join our growing Data Science AI team at our client! Based from our client in Enderby, Leicestershire ...

also include:**• Experience working in a go-to-market (GTM) or similar operational environment. • Familiarity with AI tools such as Copilot or other large language model technologies. • Exposure to automation or low-code platforms, even at a basic level. • Some experience working with data or supporting transformation or system change ...

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 ...

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 ...

GenAI solutions. 3. Large-Scale Data Handling & Architecture: Design and implement architectures for handling large-scale structured and unstructured data. 4. Multi-Modal LLM Applications: Familiarity with text chat completion, vision, and speech models. 5. Fine-tune SLM(Small Language Model) for domain specific data and use cases. 6. Front … building GenAI applications and automation tools. 2. Productionization of GenAI application beyond PoCs – Using scale frameworks and tools such as Pylint,Pyrit etc. 3. LLM Frameworks: Proficiency in frameworks like Autogen, Crew.ai, LangGraph, LlamaIndex, and LangChain. 4. Large-Scale Data Handling & Architecture: Design and implement architectures for handling large-scale ...

documentation, 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 isolationAPI & orchestration security, including secure agent tool useData security for vector stores, embeddings, and retrieval servicesPerforming AI‐specific threat modelling, including: Model ...

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 ...