Senior Machine Learning Engineer

Work with the data science team to transition research models into production-ready products, with code quality, scalability and best practice built in rather than retrofitted.

Build and maintain robust, efficient ML and data pipelines and the infrastructure behind them, including configuring GPU environments for scalable ML systems.

Own model quality across retrain cycles: leakage-safe evaluation, calibrated uncertainty that holds as new data lands, and reproducible lineage from config to prediction.

Own the ML experiment platform end to end: MLflow tracking and model registry, run identity and provenance conventions, and the environments and dependencies training jobs run in.

Partner with the platform team, reusing shared infrastructure modules where they exist and contributing new patterns back.

Write clean, testable Python (SOLID principles) backed by unit tests and automated end-to-end tests.

Keep pace with where ML and MLOps are heading, and bring the useful parts back into how we work.

Deep expertise in machine learning across modeling, engineering and architecture, with proven experience as a software engineer focused on ML.

Alignment to our stack; Python (Pandas, NumPy, scikit-learn, TensorFlow, PyTorch), MLflow, AWS, Databricks, Terraform, GitLab, and Zarr and Icechunk for big-array data.

Experience with Geospatial data would be a big plus

Experience in startup environments, building ML products and environments from early stages

Experience across the full ML lifecycle, from data preprocessing and feature engineering through to training, evaluation and deployment.

A track record of taking research artifacts (notebooks, scratch apps, prototype models) to production-grade solutions that scale, for example models served as a service.

Data engineering from first principles: deterministic, idempotent pipelines, schema and contract discipline at data boundaries, and deliberate failure and retry semantics.

Software delivery from first principles: continuous release with automated gates, observability, and clean design in application architecture.

Solid grounding in MLOps: model development, deployment and data versioning, ideally in a startup or scale-up environment.

Strong Python, with the common data science and ML libraries, and solid software engineering fundamentals across data structures, algorithms and design patterns.

Hands-on AWS and Databricks experience, managing infrastructure as code with Terraform and designing to well-architected principles.

Experience with code and data version control such as GitLab, MLflow and Icechunk.

A high-ownership mindset: you balance technical debt against speed of value delivery and make that trade-off pragmatically.

A high-agency mindset: you are comfortable where structure does not exist yet and needs to be built, and you treat iterative delivery as a means to that end rather than a ceremony.

Exposure to big-array data such as remote sensing workflows, including Zarr and Icechunk, would be an advantage, as would experience with big data technologies, contributions to open-source ML projects, and comfort working with AI-assisted development workflows such as agentic coding tools and AI code review.

Add Value: Obsessively add value for our customers

Drive Excellence: Benchmark against the best

Agile Action: Take Action. Independent, fast, frugal action

Seek Truth: Be curious. Explore

Take Responsibility: Make decisions and own them

Radical Ideas: We are unique. We do things differently

Always Deliver: We always find a way to get it done on time

We have an extremely flexible work culture, with a mix of onsite, hybrid and remote workers who take time for school runs, exercise and appointments. It's about getting the work done, not time at desk.

Equity (ESOP) grants.

20 days of annual leave + 10 extra Wellness days per year.

Learning budgets.

Access to confidential Psychologist appointments via our Employee Assistance Program.

Plenty of opportunity to be part of an amazing STEM program to create the next generation of explorers.