Machine Learning Engineer

Intermediate Machine Learning & Backend Engineer -6 month contract

ML.NET • C# • MSSQL/SQLite • Telemetry Analytics

If you enjoy solving real engineering problems with data—and you like the idea of building ML-powered insights for thousands of sim-racing drivers—this role might be a great fit. We’re expanding the intelligence layer of our racing telemetry platform, and we’re looking for an engineer who wants to own meaningful features end-to-end.

You’ll join a small, sharp team where your work ships fast, your ideas matter, and you collaborate directly with the CTO. Expect clear goals, rapid feedback loops, and a product with genuinely challenging technical depth.

What You’ll Work On

• Build full data pipelines: ingest, clean, transform, and persist racing telemetry (laps, sectors, throttle/brake inputs, steering, RPM, and more).


• Develop and refine ML.NET models for driver coaching: lap alignment, pace deltas, consistency metrics, outlier detection, stint/session segmentation.


• Take prototypes into production using C# + ML.NET (batch + near-real-time inference).


• Implement backend services using EF Core (code-first) across MSSQL (server) and SQLite (client).


• Design efficient schemas, run migrations, and fine-tune performance.


• Surface analytics through APIs, Blazor dashboards, and WPF overlays.


• Add telemetry validation, data quality checks, and observability (logging, metrics, tracing).


• Contribute to code reviews, maintain CI/CD health, and document datasets, features, and experiments.

What You Bring

• 3+ years of experience with strong C#/.NET backend fundamentals.


• Hands-on ML.NET skills (regression/classification/clustering; time-series is a bonus).


• Proficiency with Entity Framework Core, LINQ, and code-first workflows across MSSQL & SQLite.


• Ability to design data features, evaluate models correctly, and deploy stable production ML.


• Confidence with Git workflows, integration tests, and continuous integration practices.

Bonus Skills

• Signal processing (resampling, smoothing, filtering) for telemetry streams.


• Real-time or near-real-time analytics experience, including caching and background workers.


• Visualisation experience for comparative laps/telemetry overlays.


• Experimentation mindset (A/B testing, performance/consistency metrics).


• Interest in sim racing or motorsport.