Why Tractable?

We combine world-class AI research with real-world applications that make a difference. At Tractable, you’ll collaborate with brilliant minds, work on transformative projects, and contribute to technology that helps people when they need it most.

We're seeking a Senior Machine Learning Engineer to build and scale our ML & data platform, empowering AI innovation. You'll shape infrastructure, drive best practices, and foster team growth. This will be a full-time role on a 6 month contract.

Your impact

• Build & Scale: Design, build, and maintain our core ML infrastructure and data platform.

• Enable ML Acceleration: Optimise the ML lifecycle from research to production.

• Champion Excellence: Drive technical direction and promote best engineering practices.

• Support & Grow: Enable Research and Product teams and mentor colleagues.

• Ensure Reliability: Build robust, scalable systems and tackle performance challenges.

What you'll need to be successful

• End-to-end ML Pipelines: Experience building and managing ML workflows and data infrastructure

• Strong Python & Software Skills: Solid software engineering foundation and 2+ years of Python experience

• Cloud & IaC: Expertise in cloud platforms (ideally AWS) and Infrastructure-as-Code

• Scalable Systems: Ability to design robust, distributed systems

• Collaboration & Communication: Excellent communication and teamwork abilities

Preferred experience

• Proven track record with 5+ years of experience in managing ML Infrastructure & Ops or equivalent responsibilities

• At least 3+ years building scalable ML systems

• GPU scaling experience

• Tooling development for internal users

• Numerical computing skills

• Basic ML knowledge (computer vision a plus)

• Familiarity with our Tech Stack

Diversity commitment

At Tractable, we are committed to building a diverse team and inclusive workplace where people’s varied backgrounds and experiences are valued and recognised.

We encourage applications from candidates of all backgrounds and offer equal opportunities without discrimination.