Senior Machine Learning Engineer - Computer Vision & Face Recognition
Location: UK Remote / Hybrid
Level: Senior - 5+ years' production Computer Vision / ML experience
The Opportunity
An exciting opportunity to take ownership of a production-grade facial recognition and Computer Vision platform, from model development through to deployment on NVIDIA edge hardware.
This is not a research-only role. You'll take models from development through to real-world deployment, working across face detection, alignment, embedding models, matching and evaluation, while balancing accuracy, performance and real-world constraints.
You'll have genuine ownership of the face recognition capability and the opportunity to shape how the technology is built, evaluated and deployed.
What You'll Do
- Build and develop the full face recognition pipeline - detection, landmarks, alignment, quality filtering, embeddings and matching.
- Train, fine-tune and evaluate face embedding models, including decisions around training data and loss functions.
- Develop evaluation frameworks for 1:1 verification and 1:N identification, including FAR/FMR, FNMR, TAR and threshold selection.
- Build multi-camera Computer Vision pipelines for real-world deployment.
- Deploy and optimise models on NVIDIA edge GPUs, using ONNX, TensorRT and FP16/INT8 quantisation.
- Work with NVIDIA DeepStream to maximise real-time video processing performance.
- Design gallery and enrolment systems, including indexing, similarity search, template management and thresholding.
- Work closely with data protection and legal teams to build responsible biometric systems, including retention, auditability and privacy requirements.
- Benchmark and track model performance across releases.
- Review technical work and mentor mid-level engineers.
What We're Looking For
- 5+ years' production Computer Vision / Machine Learning experience.
- Proven experience building and deploying facial recognition systems using learned embeddings.
- Strong understanding of face detection, landmark alignment and embedding approaches such as ArcFace, CosFace or AdaFace.
- Strong understanding of 1:1 verification vs 1:N identification and biometric evaluation metrics.
- Strong Python, with C++ experience or willingness to work with it.
- PyTorch for training and ONNX/TensorRT for production deployment.
- Hands-on NVIDIA GPU, CUDA and inference optimisation experience.
- Docker, Linux, Git and CI/CD experience.
- Comfortable making technical decisions based on measurable accuracy and performance.
Particularly Relevant Experience
- Facial recognition using CCTV or challenging real-world imagery, including low-resolution, off-angle faces, motion blur, occlusion and difficult lighting.
- NVIDIA DeepStream, GStreamer or Triton.
- Face quality assessment and template fusion.
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Senior Computer Vision & Face Recognition Engineer employer: NearTech Search
At NearTech Search, we pride ourselves on being an exceptional employer that fosters a collaborative and innovative work culture. Our UK-based team enjoys comprehensive benefits, including professional development opportunities and a commitment to employee growth, ensuring that you can thrive in your role as an Infrastructure and Security Manager while contributing to our mission of delivering secure and resilient IT services.
