Senior Computer Vision Engineer - Deep Learning

• Design, develop and optimise computer vision models using CNNs, Vision Transformers and related deep learning architectures.
• Develop customised neural networks, training strategies, loss functions and evaluation metrics.
• Implement and adapt techniques from recent AI and computer vision research.
• Build scalable training, validation, evaluation and inference pipelines.
• Optimise models for accuracy, robustness, latency and deployment across cloud and edge platforms.
• Translate research outputs into maintainable, production-quality software.
• Collaborate with Software Engineers, Researchers, Technical Leaders and customers.
• Contribute to architecture decisions, testing and CI/CD practices.
• Support the deployment of computer vision systems into customer environments.

• Strong commercial experience developing deep learning solutions for computer vision.
• Excellent Python development skills.
• Commercial experience using PyTorch. TensorFlow experience will also be considered.
• Strong knowledge of CNNs and modern computer vision techniques.
• Experience designing, modifying or adapting neural network architectures.
• Experience with model training, validation, hyperparameter optimisation and performance evaluation.
• Experience implementing techniques from recent AI or computer vision research.
• Experience delivering reliable AI systems into production.
• Strong software engineering practices, including Git, testing, code reviews and CI/CD.
• Excellent analytical, problem-solving and communication skills.

Desirable experience

• Vision Transformer architectures.
• Object detection, tracking, segmentation or pose estimation.
• Multi-object localisation or multi-modal perception systems.
• GPU optimisation, CUDA, inference acceleration or edge AI.
• Real-time computer vision systems.
• Docker, Kubernetes, Kubeflow or MLOps pipelines.
• Aerial, satellite or ISR imagery.
• Synthetic data generation, Unreal Engine or NVIDIA Omniverse.
• Distributed training and large-scale model optimisation.
• Defence, government or national security projects.
• An MSc or PhD in Computer Vision, Artificial Intelligence, Machine Learning, Robotics or a related subject.

Security clearance

Candidates must be eligible to obtain UK BPSS and Security Check clearance. Existing clearance is advantageous but is not required for every appointment.

Applicants for SC clearance are normally expected to have lived in the UK for the previous five years. A shorter period of UK residency or time spent overseas will not necessarily prevent clearance, but eligibility will be assessed individually by the sponsoring authority.

MFK Recruitment is recruiting a Senior Computer Vision Engineer for an innovative UK technology company working at the forefront of computer vision, perception and autonomy. The company develops advanced Artificial Intelligence and Machine Learning technology for defence, security and other demanding real-world environments. Its work combines machine vision, deep learning and neuroscience-inspired approaches to create AI systems that are accurate, robust and reliable. MFK Recruitment has successfully recruited four Engineers to this company over the past five years, and all four are still with the business. This speaks volumes about the culture, technical challenges and long-term opportunities available. Senior Computer Vision Engineer role You will design, develop and deploy production-grade computer vision systems using modern deep learning techniques, with a particular focus on Convolutional Neural Networks and Vision Transformers. This is a hands-on engineering role for someone comfortable working across research, software development and real-world deployment. You will help translate recent AI research into reliable products used within demanding defence and security environments. The position is predominantly office and customer-site based in West London, although some remote working will be available.