1 to 25 of 48 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 ...

working on: Designing and deploying production-grade agentic and multi-agent systems Building RAG pipelines, including embeddings, chunking, vector search and context engineering Integrating LLM APIs across providers such as OpenAI, Anthropic, Vertex AI and open-source models Building orchestration, tool invocation, routing and memory capabilities Developing evaluation frameworks ...

LangChain REST APIs Docker What we're looking for Commercial software engineering experience building modern web applications. Hands-on experience with Generative AI or LLM integrations. Strong product mindset with the ability to think about customer experience. Comfortable working across frontend and backend technologies. Someone who enjoys experimenting, iterating ...

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 role and you dont need deep ML experience. Practical exposure is enough to start the conversation - perhaps using Copilot or another LLM to support development, validate code, improve documentation, investigate problems or experiment with AI-enabled data solutions. Youll have the opportunity to build on that as AI becomes ...

hackajob is partnering directly with Kainos to hire for this role. Join Kainos and Shape the Future At Kainos, we're problem solvers, innovators, and collaborators - driven by a shared mission to create real impact. ...

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

technical reviews, and continuous improvement initiatives. You'll Bring Strong Python development experience. Experience building and supporting production-grade software solutions. Experience developing AI, LLM, automation, or agent-based applications. Knowledge of AI orchestration, workflow automation, and modern integration patterns. Experience working with APIs and enterprise system integrations. Cloud platform ...

Engineer. The client is looking for evidence that youve started exploring how AI can improve the way you engineer perhaps using Copilot or another LLM to validate code, support debugging, improve documentation or accelerate parts of development. The business is investing in AI, including Azure AI Foundry, so youll gain ...

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 ...

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 ...

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 ...

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 ...

/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 ...

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 ...

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 ...

At EY, we're all in to shape your future with confidence. We'll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. ...

Make.com, Zapier, Claude, or similar not just demos. Worked with Airtable or comparable systems as a real ops backbone, not a side spreadsheet. Built LLM-powered workflows with prompt craft, evaluation, and guardrails and knows when the model shouldn't act alone. Strong at debugging production systems under time pressure. ...

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 ...

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 ...

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 ...