13 of 13 Permanent Retrieval-Augmented Generation Jobs in the Midlands

development! Requirements: Strong Python scripting skills Strong understanding of LLMs Experience delivering Gen-AI projects end-to-end Experience with Retrieval-Augmented Generation (RAG) Experience with Azure AI Foundry would be beneficial Experience with Microsoft data technologies would be beneficial Experience with Cloud platforms - ideally Azure Strong communication, stakeholder management and problem-solving skills More ❯

development! Requirements: Strong Python scripting skills Strong understanding of LLMs Experience delivering Gen-AI projects end-to-end Experience with Retrieval-Augmented Generation (RAG) Experience with Azure AI Foundry would be beneficial Experience with Microsoft data technologies would be beneficial Experience with Cloud platforms - ideally Azure Strong communication, stakeholder management and problem-solving skills More ❯

development! Requirements: Strong Python scripting skills Strong understanding of LLMs Experience delivering Gen-AI projects end-to-end Experience with Retrieval-Augmented Generation (RAG) Experience with Azure AI Foundry would be beneficial Experience with Microsoft data technologies would be beneficial Experience with Cloud platforms - ideally Azure Strong communication, stakeholder management and problem-solving skills More ❯

Solid understanding of REST APIs, cloud platforms (Azure/AWS/GCP), and agile delivery A passion for clean code, scalability, and technical excellence Nice to Have Experience with RAG systems, multi-agent AI, or Langfuse/LiteLLM Python proficiency for AI/ML integration Familiarity with MLOps and cost optimisation for AI systems Background in B2B SaaS or financial More ❯

Studio or custom frameworks). Clear judgment around latency, cost, and reliability trade-offs. Track record of mentoring and raising engineering standards. Nice to have: Retrieval pipelines, RAG evaluation, Kubernetes, CI/CD for ML, and enterprise security exposure. More ❯

Generative AI solutions using Azure AI Foundry, Azure OpenAI and Azure ML. Collaborate with clients to define use cases and translate business needs into technical solutions. Building and implementing RAG pipelines and fine-tuning models. Presenting technical concepts to both technical and non-technical stakeholders. Contributing to agile delivery processes and sharing knowledge through workshops and demos. To be successful More ❯

AI: State-of-the-art LLMs What We’re Looking For 3+ years of experience building full-stack production applications (TypeScript, React, Next.js). Practical experience developing with LLMs (RAG, prompting, structured outputs, bias handling). Strong debugging and performance optimization skills (e.g. N+1 queries, job queues, memory tuning). Comfort working in a fast-paced, iterative environment. Bonus Points More ❯

The role The role is building AI applications based on LLM and models such as GPT and BERT You'll make use of Python programming, Pyspark, tensorflow, HuggingFace, LangChain, RAG techniques, interfacing with diverse data sets. Cloud data platforms and a diverse set of tools for AI app deployment. The opportunity Work at the forefront of the industry. It's … on experience in a commercial environment, working on AI/ML applications Multi cloud exposure (Azure/AWS/GCP) . Some of the following - Pytorch, GPT/BERT, RAG, Apache Airflow, Power Automate, Azure logic apps, RPA/Zapier, HuggingFace, LangChain... Background in Data Science or Software Engineering The values and ethos of this business Innovation with real purpose More ❯

how data science drives commercial outcomes. Establish an AI Centre of Excellence to embed data-driven thinking across all functions. Deliver enterprise-scale GenAI solutions (e.g. copilots, virtual assistants, RAG systems) and lead classical ML initiatives. Define governance and ethical standards for responsible AI adoption. What We're Looking For Extensive senior leadership experience leading large, enterprise data science functions. … A strong track record of delivering production-grade AI/ML solutions and driving adoption at scale. Deep expertise in GenAI (LLMs, prompt engineering, RAG) as well as classical ML and experimentation. Hands-on knowledge of MLOps, cloud (AWS/Azure), and modern data science tools. Exceptional stakeholder skills - able to translate complex technical work into board-level strategy and More ❯

An exciting opportunity to join a small, high-impact AI team building an internal AI Platform that powers the next generation of intelligent products and services. You’ll work on cutting-edge AI infrastructure, collaborate with experienced platform engineers, and make a real impact on how AI innovation scales across the organization. What you’ll be doing: Building … managing LLMOps tools such as LiteLLM, Langflow, and Langfuse Implementing observability with Prometheus, Grafana, and Loki Managing infrastructure through Terraform, ArgoCD, and GitHub Actions Supporting internal AI applications including RAG, document processing, and internal AI assistants What you’ll need: 2–4 years in Platform or DevOps Engineering (Azure preferred) Strong experience with Kubernetes, Docker, and Terraform Programming or scripting More ❯

An exciting opportunity to join a small, high-impact AI team building an internal AI Platform that powers the next generation of intelligent products and services. You’ll work on cutting-edge AI infrastructure, collaborate with experienced platform engineers, and make a real impact on how AI innovation scales across the organization. What you’ll be doing: Building … managing LLMOps tools such as LiteLLM, Langflow, and Langfuse Implementing observability with Prometheus, Grafana, and Loki Managing infrastructure through Terraform, ArgoCD, and GitHub Actions Supporting internal AI applications including RAG, document processing, and internal AI assistants What you’ll need: 2–4 years in Platform or DevOps Engineering (Azure preferred) Strong experience with Kubernetes, Docker, and Terraform Programming or scripting More ❯

An exciting opportunity to join a small, high-impact AI team building an internal AI Platform that powers the next generation of intelligent products and services. You’ll work on cutting-edge AI infrastructure, collaborate with experienced platform engineers, and make a real impact on how AI innovation scales across the organization. What you’ll be doing: Building … managing LLMOps tools such as LiteLLM, Langflow, and Langfuse Implementing observability with Prometheus, Grafana, and Loki Managing infrastructure through Terraform, ArgoCD, and GitHub Actions Supporting internal AI applications including RAG, document processing, and internal AI assistants What you’ll need: 2–4 years in Platform or DevOps Engineering (Azure preferred) Strong experience with Kubernetes, Docker, and Terraform Programming or scripting More ❯

We’re looking for a DevOps Engineer who’s excited about building the infrastructure behind next-generation AI products. You’ll join a small, experienced team developing an internal Kubernetes-based platform that enables AI innovation across the organisation automating everything from deployments to observability, and helping developers build smarter applications with confidence. What you’ll be doing … environments Managing Infrastructure as Code with Terraform and improving GitOps workflows (ArgoCD/GitHub Actions) Building observability and monitoring stacks using Prometheus, Grafana, and Loki Supporting AI workloads (LLMs, RAG, and document processing applications) running on Kubernetes Automating platform operations with Python, Go, and shell scripting Implementing security guardrails, PII compliance tooling, and best practices for production AI systems What More ❯