Machine Learning Engineer and Data Engineer

Location: London

Type: Full-time | Permanent | Office based

Salary: up to £100,000 (ML Engineer) and up to £80,000 (Data Engineer)

About Us

We’re an early-stage startup on a mission to. As we scale, we’re looking for a Machine Learning Engineer and Data Engineer who are excited to build real-world products from the ground up, shape the future of our technology, and make a measurable impact.

The Role

You’ll play a key role in designing, building, and deploying ML models that power our core product. This isn’t just about research — it’s about turning ideas into features customers love. You’ll work closely with our founding team, own projects end-to-end, and help set the standard for engineering practices as we grow.

What You’ll Do

• Design, train, and deploy machine learning models to solve real-world problems.
• Collaborate with product and engineering teams to integrate ML into customer-facing features.
• Build scalable data pipelines and infrastructure to support model training and inference.
• Experiment with new algorithms and techniques, bringing the latest research into production.
• Monitor and optimise models for performance, accuracy, and efficiency.
• Contribute to technical decisions that balance immediate needs with long-term scalability.
• Help shape our technical culture, processes, and roadmap as an early team member.

What We’re Looking For

• 2+ years’ experience as a Machine Learning Engineer, Data Scientist, or similar role.
• Strong background in Python and ML frameworks (TensorFlow, PyTorch, Scikit-learn).
• Experience with building and deploying ML models into production.
• Knowledge of APIs, data pipelines, and cloud infrastructure (AWS, GCP, or Azure).
• Strong problem-solving skills and ability to work independently in a fast-paced environment.
• Curiosity, openness, and a willingness to experiment and learn.
• Excellent communication skills for explaining complex concepts to technical and non-technical audiences.

Nice to Have

• Experience working in a startup or high-growth tech environment.
• Familiarity with AI-assisted coding tools (e.g. GitHub Copilot, Cursor).