Infranomics
Backend Python Developer & Data Scientist
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About the Role
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 can't 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
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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
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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
- Apply for the role, which must include a resume with a reference to your favourite Looney Tunes character. If this is not seen - your application will be filtered to prevent spam.
- We interview in person & we perform a technical assessment and technical interview
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