AI Engineer / Machine Learning Engineer

AI Engineer / Machine Learning Engineer

Hybrid (London) - Python - AWS - Databricks - Up to £100,000

We're partnered with an innovative, technology-led organisation that is investing heavily in AI and machine learning as a core part of its future growth. They're looking for an AI Engineer / Machine Learning Engineer to join a small, highly capable team where you'll have the autonomy, ownership and influence that's often missing in larger businesses.

This isn't a research-focused role. It's about applying AI and machine learning to real business challenges, building production-ready solutions and owning projects from initial concept through to deployment and iteration.

You'll be joining a close-knit engineering environment where your ideas will be heard, technical decisions won't get lost in layers of management and you'll have the opportunity to make a meaningful impact across the business. If you enjoy solving complex problems, working with modern technologies and taking ownership of what you build, this could be the role for you.

You Will Work With

Designing, building and deploying AI/ML solutions into production environments.

Developing scalable backend applications, APIs and services using Python.

Building cloud-native solutions within AWS environments.

Creating and maintaining data pipelines and machine learning workflows.

Monitoring, testing and optimising AI systems in production.

Collaborating closely with engineering, product and data teams.

Working across the full development lifecycle from design through to deployment and support.

Benefits

Join a small team where your contributions have a direct impact

End-to-end ownership from design through to production

Opportunity to shape the future AI capability of the business

Work across the full AI/ML lifecycle rather than specialising in one area

Work alongside experienced engineers in a highly collaborative environment

Clear progression opportunities as the function continues to grow

Flexible working environment focused on outcomes rather than micromanagement

Key Experience

Strong commercial experience in either Machine Learning / Data Science or Backend Engineering

Demonstrable overlap between software engineering and machine learning

Excellent Python development skills.

Experience deploying solutions into production rather than purely building models or conducting research

Exposure to cloud platforms, ideally AWS.

Docker and containerisation experience

Knowledge of Databricks, MLOps or modern AI tooling would be beneficial

Strong engineering fundamentals and a passion for building high-quality solutions.

Comfortable working in an environment with high responsibility and high expectations.