> Markdown version of [/jobs/ext/3032340-ai-ml-engineer](https://www.wearedevelopers.com/jobs/ext/3032340-ai-ml-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AI/ML Engineer - **Company:** RemoteJobsOne - **Location:** London, UK (Remote available) - **Salary:** £200,000.0 - £350,000.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Amazon Web Services, Microsoft Azure, Cloud Computing Security, Continuous Integration, Extract Transform Load (ETL), DevOps, Python (Programming Language), Machine Learning, Metadata, Secure Coding, AI Infrastructure, Cloud Platform System, Large Language Models, Multi-Agent Systems, Prompt Engineering, Generative AI, AI Platforms, Machine Learning Operations, Api Design, Restful APIs, Data Pipelines - **Published:** September 23, 2026 - **Apply:** https://www.adzuna.co.uk/jobs/details/5894631418 ## About the Role 1. Proficiency in Python for AI/ML development, including experience with REST APIs and SDK integration. 2. Hands-on experience with LLMs, RAG systems, and prompt engineering in production environments. 3. Familiarity with multi-agent orchestration, tool use, and frameworks like LangGraph and LangChain. 4. Deep understanding of cloud AI services (AWS GovCloud, Google GovCloud, Azure IL5+, Vertex AI, AWS Bedrock). 5. Background in building and maintaining data pipelines, ontologies, metadata catalogs, and ETL processes. 6. Strong grasp of secure coding and modern DevOps practices (CI/CD pipelines). 7. Exceptional written and verbal communication skills for effective collaboration and documentation. Preferred Qualifications: 1. Experience with AI/agentic platforms, such as Anthropic for Gov, OpenAI Enterprise, Gemini Enterprise, or Grok Enterprise. 2. Knowledge of metadata catalog platforms (MCP) and advanced API development techniques. 3. Prior exposure to government or highly regulated cloud environments and compliance standards. ## Description Join our team as a AI/ML Engineer and play a pivotal role in driving mission-critical government initiatives while also contributing to the company's proprietary AI infrastructure, you'll harness advanced large language models (LLMs), retrieval-augmented generation (RAG), and multi-agent orchestration to deliver secure, scalable, and impactful machine learning systems. You'll work closely with cross-functional experts, leveraging frontier AI platforms and the latest in agentic AI tooling., 1. Design, implement, and optimize AI/ML models particularly leveraging LLMs, RAG, and prompt engineering for production grade applications. 2. Develop and orchestrate multi-agent systems using frameworks such as LangGraph and LangChain. 3. Integrate and deploy solutions on secure cloud environments, including AWS GovCloud, Google GovCloud, Azure IL5+, Vertex AI, and AWS Bedrock. 4. Build robust data pipelines, manage ETL processes, and develop metadata catalogs and ontologies to ensure high-quality data for AI training and inference. 5. Create and maintain REST APIs and SDK integrations to facilitate seamless data and model interactions. 6. Collaborate with product, security, and engineering teams to ensure best-in-class delivery, following secure coding and DevOps best practices (CI/CD). 7. Document technical decisions and communicate complex concepts clearly to both technical and non-technical stakeholders. ## Related Videos - [From DevOps to Scaled DevOps: How We’re Rebuilding Continuous Delivery as a Platform](https://www.wearedevelopers.com/videos/100018-from-devops-to-scaled-devops-how-we-re-rebuilding-continuous-delivery-as-a-platform) - [A Data Mesh needs Open Metadata](https://www.wearedevelopers.com/videos/505-a-data-mesh-needs-open-metadata) - [API Design - Getting Started](https://www.wearedevelopers.com/videos/33-api-design-getting-started) - [How to Avoid LLM Pitfalls - Mete Atamel and Guillaume Laforge](https://www.wearedevelopers.com/videos/1328-how-to-avoid-llm-pitfalls-mete-atamel-and-guillaume-laforge) - [DevOps Maturity Check – a way to balance autonomy and alignment](https://www.wearedevelopers.com/videos/58-devops-maturity-check-a-way-to-balance-autonomy-and-alignment) - [Navigating the AI Revolution in Software Development](https://www.wearedevelopers.com/videos/1266-navigating-the-ai-revolution-in-software-development) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Got AI ideas but no money? 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