MLOps Engineer (Mid–Senior Level) Multiple Positions Available
Our client is a fast-growing, specialist technology consultancy focused on helping organisations successfully deploy and scale machine learning solutions in production. Operating at the forefront of AI and modern engineering, they partner with a wide range of clients to turn cutting-edge research into real-world impact.
As an MLOps Engineer, you will play a key role in delivering production-ready machine learning systems within cross-functional engineering teams. Working across multiple client engagements, you’ll contribute to the design, build, and deployment of scalable ML solutions. This is a hands-on role suited to engineers who enjoy solving complex problems, working directly with stakeholders, and staying close to emerging technologies within AI and MLOps. You’ll be involved throughout the full delivery lifecycle, from early-stage discovery through to deployment and optimisation, while contributing to best practices and engineering excellence.
Strong experience writing production-grade Python• Hands-on experience with cloud platforms (AWS, Azure, or GCP)• Solid understanding of DevOps practices, CI/CD, and infrastructure-as-code• Experience with Docker, Git, and Linux-based environments• Familiarity with machine learning frameworks (e.g. Experience working in agile delivery teams• Curiosity and enthusiasm for emerging technologies within AI and MLOps
Build and deliver scalable machine learning systems for a variety of client projects• Design and implement robust ML pipelines and supporting infrastructure• Contribute to engineering best practices, code quality, and documentation• Participate in agile ceremonies including sprint planning, retrospectives, and code reviews• Right to work in the UK and ability to obtain security clearance• Background in software engineering, data, or a related technical discipline• Experience working within project-based or client-facing environments is beneficial• Ability to work in a hybrid model with regular on-site collaboration
If you’re looking to work at the cutting edge of MLOps and AI, while contributing to high-impact projects in a collaborative and forward-thinking environment, we’d love to hear from you….