AI Engineer
Role details
Job location
Tech stack
Job description
- Develop and train machine learning models for object detection and classification, leveraging deep learning frameworks (e.g., PyTorch, TensorFlow).
- Curate and manage training datasets, including proprietary tagging and image metadata.
- Fine-tune pre-trained models for specific use cases and optimize hyperparameters for accuracy and speed.
Model Optimisation for Deployment:
- Optimize models for efficient inference on edge devices (Jetson, FPGAs, TPU, Hailo).
- Profile and improve latency, throughput, and memory efficiency for real-time systems.
- Convert and export models for cross-platform or HW optimised (ONNX, TensorFlow Lite, TensorRT, OpenVINO).
Visual Tracking Algorithms:
- Design and implement algorithms for visual tracking, sensor fusion, and real-time object localisation.
- Integrate AI-powered sensor fusion combining Radar, EO/IR, Lidar, RF, and Acoustic data.
Staying up to date with SOTA:
- Monitor and keep up to date with the latest research in CV and AI.
- Experiment with the latest models and techniques such as SAM3, Qwen3.
Requirements
- PhD in Computer Science, Electrical Engineering, or AI
OR
Bachelor's or Master's degree with demonstrated industry experience
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Strong proficiency in Python and deep learning frameworks (PyTorch, TensorFlow)
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Hands-on experience developing, training, and evaluating computer vision models
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Experience deploying and optimising models using ONNX, TensorRT, OpenVINO, or Hailo
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Ability to benchmark approaches and deliver high-performance, production-ready solutions
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Desirable: Generative AI experience in tuning/deploying models for summarisation, content generation, or retrieval and familiarity with prompt engineering, LLMs, VLMs to multimodal tasks, including fine-tuning and evaluation
Benefits & conditions
- Competitive remuneration package, with performance-related bonuses and clear progression opportunities
- 25 days' holiday + public holidays, with long-service rewards and the option to buy up to 5 additional days
- Free breakfast and freshly cooked lunches every day, courtesy of Chef Mark and his team
- Private healthcare through Aviva, keeping you feeling your best
- Life assurance for peace of mind
- Salary sacrifice schemes - including EV car and Cycle to Work options for easy, sustainable travel
- Paid team socials - from quiz nights and football to board games and more; we love to have fun together
- Pension plan with employer-matched contributions to help you plan for the future
- A culture that empowers - we enable change, encourage challenge, and celebrate personal growth