ML Engineer

Salary: £100,000 - 100,000 per year

Requirements:

• Strong Python development skills and a solid understanding of software engineering best practices.
• Experience across the machine learning lifecycle, including taking models into production.
• Hands-on experience with frameworks such as Scikit-learn, TensorFlow or PyTorch.
• Experience working with cloud platforms such as AWS, Azure or GCP.
• Knowledge of cloud architecture, infrastructure and security.
• Practical experience with Docker and Kubernetes or similar containerisation and orchestration technologies.
• A good understanding of core machine learning concepts, probability, statistics and common ML techniques.
• The ability to communicate effectively with both highly technical teams and non-technical stakeholders.
• A proactive, delivery-focused approach and the ability to work autonomously in a fast-paced environment.

Responsibilities:

• Build and deploy production-grade machine learning software, tooling and infrastructure.
• Design reusable and scalable solutions that accelerate the delivery of ML systems.
• Work collaboratively with software engineers, data scientists and commercial stakeholders to solve complex client challenges.
• Lead technical discovery, scoping and architectural decisions.
• Help establish and improve engineering standards and best practices for deploying ML at scale.
• Provide technical guidance to clients and partners, making complex machine learning concepts accessible to a range of stakeholders.
• Contribute to the design of secure, reliable and maintainable cloud-based ML platforms.
• Take ownership of technical problems from initial concept through to successful delivery.

Technologies:

• AI
• AWS
• Azure
• Cloud
• Docker
• GCP
• Kubernetes
• Machine Learning
• PyTorch
• Python
• Security
• TensorFlow

More:

We are a fast-growing technology consultancy operating at the forefront of AI, machine learning and advanced technology. We partner with major clients across highly regulated and high-impact sectors, delivering practical AI solutions that move beyond experimentation into real-world production environments. This is a permanent Machine Learning Engineer role based in London with hybrid working and client-site work as required. You will join a highly technical team working on complex, meaningful projects with genuine ownership, significant autonomy and the opportunity to influence how machine learning is delivered at scale. We offer the chance to work on technically challenging and varied ML projects, build systems used in real-world environments, influence technical architecture and engineering standards, and develop your expertise across machine learning, software engineering, cloud and AI infrastructure.

last updated 33 week of 2026