Machine Learning Engineer

Machine Learning Engineer Build AI that actually ships. We're partnering with an established software company that's making a major investment in AI, embedding intelligent, enterprise-grade capabilities into its flagship platform. This isn't a research role or a proof-of-concept environment—you'll be building production-ready AI solutions that are used by real customers. If you're passionate about turning cutting-edge AI into scalable, reliable software, this is your opportunity to make a real impact. What You'll Be Doing As a Machine Learning Engineer, you'll play a key role in designing, building and deploying production AI systems using the latest LLM, RAG and cloud technologies. You'll: * Design and deploy scalable AI and Generative AI solutions into production * Build RAG pipelines, NLP applications and agentic AI workflows * Develop robust backend services and APIs using Python * Design cloud-native AWS infrastructure and MLOps pipelines * Optimise the performance, reliability and observability of AI services * Collaborate closely with Product and Engineering teams to deliver AI features from concept through to production What We're Looking For You'll bring a strong software engineering mindset along with hands-on experience building AI applications. You'll have: * Strong Python development skills * Experience building and deploying Machine Learning or LLM-powered applications * Good knowledge of AWS and cloud-native architectures * Experience with RAG, embeddings and/or NLP technologies Nice to have: * FastAPI, PostgreSQL, Kubernetes or CI/CD experience * Familiarity with AI frameworks such as Amazon Bedrock, LiteLLM, LangChain or similar Why Join? This is an opportunity to work on AI that delivers real business value—not experimental side projects. You'll have ownership of features from design through to production, work alongside experienced engineers, and help shape the next generation of an established enterprise platform that's placing AI at the heart of its future.