KO2 Embedded Recruitment Solutions Ltd
Sensor Specialist
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Sensor Specialist
Dagenham, London (Hybrid work from home, 3 days on-site a week)
£60,000 – £65,000 + Benefits
Our client is building a connected sensing platform that fuses VOC sensor arrays with machine learning to detect pests, disease and biological threats in the real world — across pest control, agriculture, animal health, conservation and human health. You will join a growing team owning the full stack, from sensor hardware to cloud and Machine learning.
They're sensor-agnostic by design — no fixed tech, no locked-in supplier. The edge comes from how well they select, drive, sample and interpret off-the-shelf sensors, and the data and models built on top. That's where you come in.
The role
You'll own how commercial gas/chemical sensors perform inside real devices — from part selection through to field performance. Embedded in the engineering team, working shoulder-to-shoulder with mechanical, electrical, firmware, R&D and data science. You will be the link between the datasheet and what the customer actually experiences.
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What you'll do
- Benchmark and select sensors on real test data, not datasheets
- Characterise sensitivity, drift, stability and repeatability in-device
- Optimise heater profiles, duty cycles and sampling regimes
- Crack device-to-device variability with calibration and compensation strategies
- Drive sensor integration with hardware and firmware teams
- Diagnose field issues and feed learnings back into design
- Fuel R&D and data science with clean, structured characterisation data
What you'll bring
- Hands-on experience taking commercial gas/chemical sensors from bench to fielded product
- Real depth in at least one sensing technology (MOX, electrochemical, PID, NDIR, or acoustic) — broad awareness of others
- Battle scars from drift, humidity/temperature effects, cross-sensitivity, poisoning and part variation
- Comfortable in Python, MATLAB or similar for data analysis
- A degree in chemistry, physics, materials science, electronic engineering or similar (PhD welcome)
- The independence to take a problem from question to answer without hand-holding
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Bonus points: VOC sensing/olfactory science, sampling system design (pumps, valves, flow paths), production calibration/test experience, or enough ML exposure to speak the data science team's language.
If you want your sensing expertise to shape a product from datasheet to real-world deployment — not sit in a lab — this is the one.
Apply today with an up to date CV and a member of the KO2 team will be in touch to progress your application.
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