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.
With a strong emphasis on open-source technologies, continuous learning, and collaborative delivery, this organisation offers engineers the chance to work on meaningful problems while developing deep expertise in a rapidly evolving space.
Role Overview:
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.
Key Skills & Experience:
• 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. PyTorch, TensorFlow, Scikit-learn)
• Experience working in agile delivery teams
• Ability to build and maintain scalable, reliable systems
• Strong communication skills with the ability to work in client-facing environments
• Curiosity and enthusiasm for emerging technologies within AI and MLOps
Key Responsibilities:
• Build and deliver scalable machine learning systems for a variety of client projects
• Collaborate directly with stakeholders to understand requirements and define solutions
• 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
• Continuously explore and adopt new tools, frameworks, and approaches
• Contribute to internal R&D initiatives and knowledge sharing across the team
Requirements:
• 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 youre 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.