Senior Data Architect
Reed · London
Job description
About the role
We are partnering with a stealth‑mode, venture‑backed technology company that aims to become the world’s leading AI provider for law enforcement and public safety. The role focuses on turning complex streams of sensor and telemetry data into actionable intelligence that powers real‑time decision making.
Key responsibilities
- Develop machine‑learning models and inference systems for multivariate time‑series sensor data.
- Analyse telemetry, wearable and physiological datasets to uncover behavioural patterns.
- Build and maintain anomaly‑detection and behavioural‑baselining solutions.
- Translate raw telemetry streams into actionable intelligence for operational use.
- Work with streaming and low‑latency data architectures to support real‑time decision making.
- Collaborate with software engineers and AI specialists to move solutions from research to production.
- Continuously optimise model performance, accuracy and scalability.
- Contribute to technical strategy, experimentation and product development.
Required profile
- Strong commercial experience in Data Science, Machine Learning or Applied AI roles.
- Hands‑on experience with time‑series data and signal processing.
- Experience analysing telemetry, sensor, wearable or physiological datasets.
- Deep understanding of multivariate time‑series modelling.
- Proven ability to develop anomaly‑detection and behavioural‑baselining solutions.
- Eligibility for SC Clearance (minimum 5 years continuous UK residency).
Required skills
- Time‑series analysis
- Signal processing
- Machine learning
- Anomaly detection
- Streaming data architectures
What we offer
- Competitive salary £60,000‑£90,000 per year
- Equity potential
- Hybrid work arrangement in London
- Opportunity to shape AI‑driven public safety solutions
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Published 1 month ago
Expires 2 days from now
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Reed
London