> Markdown version of [/jobs/ext/2871060-senior-ai-ml-engineer](https://www.wearedevelopers.com/jobs/ext/2871060-senior-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). --- # Senior AI/ML Engineer - **Company:** Platform Recruitment - **Location:** London, UK - **Experience:** Expert - **Salary:** £90,000.0 - £120,000.0 - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Microsoft Azure, Cloud Computing, Computer Programming, Continuous Integration, Distributed Systems, Monitoring of Systems, Python (Programming Language), Machine Learning, Tensorflow, Software Deployment, Software Engineering, Data Ingestion, Large Language Models, Multi-Agent Systems, Prompt Engineering, Generative AI, Kubernetes, Machine Learning Operations, Docker - **Published:** September 13, 2026 - **Apply:** https://www.adzuna.co.uk/jobs/details/5880952326 ## About the Role * 4+ years experience in software engineering, machine learning, or AI-focused roles * Strong programming skills in Python, with experience building production-grade systems * Hands-on experience with large language models and modern ML frameworks * Experience deploying and maintaining systems in production, including MLOps, CI/CD, Docker, and Kubernetes * Strong understanding of system design, APIs, and scalable architectures * Experience with cloud platforms such as AWS, GCP, or Azure * Desirable: experience working with LLMs in production environments * Desirable: exposure to agent-based systems or advanced prompt engineering techniques * Desirable: experience building distributed systems or high-performance APIs * Desirable: familiarity with observability and monitoring tools * Desirable: experience working in fast-paced, product-driven environments ## Description * Design, build, and deploy AI-driven systems and features using state-of-the-art large language models * Develop end-to-end ML pipelines, from data ingestion through to production deployment and monitoring * Work closely with cross-functional teams to translate complex, real-world problems into scalable AI solutions * Contribute to the design of advanced architectures, including retrieval-augmented generation (RAG) and multi-agent systems * Optimise system performance, reliability, and scalability in production environments * Play a key role in technical decision-making and our overall AI strategy Technologies: * AI * AWS * Azure * CI/CD * Cloud * Docker * GCP * Kubernetes * Machine Learning * Python ## Related Videos - [Docker Compose: Rediscovered](https://www.wearedevelopers.com/videos/1978-docker-compose-rediscovered) - [Understanding Kubernetes in a visual way](https://www.wearedevelopers.com/videos/100085-understanding-kubernetes-in-a-visual-way) - [Machine learning in the browser with TensorFlowjs](https://www.wearedevelopers.com/videos/155-machine-learning-in-the-browser-with-tensorflowjs) - [Coffee with Developers - Maria Apazoglou](https://www.wearedevelopers.com/videos/1209-coffee-with-developers-maria-apazoglou) - [Microservices: how to get started with Spring Boot and Kubernetes](https://www.wearedevelopers.com/videos/242-microservices-how-to-get-started-with-spring-boot-and-kubernetes) - [Docker build without Docker](https://www.wearedevelopers.com/videos/100114-docker-build-without-docker) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [From Prototype to Production: Build AI Agents with This Free 4-Course Learning Path](https://www.wearedevelopers.com/magazine/655-from-prototype-to-production-build-ai-agents-with-this-free-4-course-learning-path) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production)