AI Engineer​/Machine Learning Engineer

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.

• 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.

• 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

• 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.