Backend Python Developer & Data Scientist

We turn mobile, field-collected sensor data into geospatial outputs. You’ll own a research-grade estimation + geospatial pipeline end to end - from raw multi-sensor logs to analysis-ready results.

We’re looking for someone based in and around London, remote work 80-90% of the time. Do not apply if you cant commute; our HQ is in Tower Hill area.

Immediate start is preferred, but we can wait 4 weeks for the right candidate.

Must have

• Strong Python and Rust — we use Rust for performance-critical numerical/estimation code with PyO3/maturin bindings
• Data scientist / data analytical person at heart
• PyTorch (CPU autograd; gradient-based + L-BFGS optimisation) and/or GPyTorch (Gaussian processes)
• Geospatial: GeoPandas, Shapely, PostGIS, EPSG:27700, Ordnance Survey datasets
• NumPy · SciPy · pandas, Parquet, SQLite + PostgreSQL

Nice to have

• Signal processing / RF
• State estimation / sensor fusion: EKF (incl. multiplicative), RTS smoothing, GNSS + IMU + magnetometer fusion, quaternions, NED frames, AHRS
• Combinatorial optimisation (e.g. OR-Tools)
• Field sensor rigs: GNSS/IMU hardware, calibration etc
• Large-scale / UK geospatial data background

Offline post-processing (not real-time today with real-time coming soon). You’re comfortable owning a research codebase: reproducible pipelines, careful calibration, correct units and coordinate frames.

Hiring process:

1) Apply for the role, which must include a reference to your favourite looney tunes character - if this is not seen your application will be filtered - this is a simple test.

2) We interview in person

3) We perform a technical assessment and technical interview