Head of Machine Learning
Skills
Computer ScienceAudio ProcessingAutonomous SystemsData StrategiesEmerging TechnologiesEnhanced Data Rates For GSM EvolutionProbability
What the job involves
The main requirements, responsibilities and hiring steps.
Requirements
- Significant professional experience developing and deploying machine-learning systems
- Demonstrable experience leading machine-learning engineers researchers or technical teams
- Strong practical knowledge of deep learning neural-network architectures and model-training methods
- Experience developing models for audio acoustics time-series data computer vision radar RF or other sensor data
- Strong Python development skills and experience with frameworks such as PyTorch or TensorFlow
- Experience deploying models onto embedded edge or resource-constrained computing platforms
- Understanding of model optimisation techniques such as quantisation pruning distillation and hardware acceleration
- Experience with MLOps data pipelines experiment tracking model versioning and automated testing
- Strong understanding of dataset design annotation augmentation and validation
- Ability to interpret research and convert it into production-ready technology
- Strong analytical and problem-solving skills
- Ability to communicate complex technical information to engineering commercial military and non-technical stakeholders
- Experience delivering technology from early-stage research through to tested products
Day to day
- Lead the development and deployment of machine-learning systems for acoustic detection and tracking.
- Shape the technical roadmap for real-time models that detect drones and other acoustic targets in complex environments.
- Work hands-on with acoustics embedded systems software and product teams to turn research into reliable edge hardware capability.