Machine Learning Engineer and Data Engineer

Qualifications, skills, and all relevant experience needed for this role can be found in the full description below. 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).