Computer Vision Engineer developing sports technology for Hawk - Eye Innovations. Focused on improving tracking algorithms for tennis using computer vision techniques.
About the role
- Senior Computer Vision Engineer working on the design and operation of computer vision systems at Fingermark. A hands-on role that includes mentoring and technical direction for hybrid environments.
Responsibilities
- Contributing directly to the design, build and operation of Fingermark’s computer vision systems
- Working across hybrid environments including cloud and edge devices
- Mentoring other engineers, contributing to technical direction, and supporting delivery practices within the team
Requirements
- A strong software engineering background, with proficiency in Python and experience using libraries such as OpenCV, PyTorch or TensorFlow, NumPy or scikit-image
- Experience applying computer vision techniques and deep learning methods, including object detection and segmentation
- Experience working across cloud and edge environments, including deployment to edge and extreme-edge devices
- Solid experience deploying and operating microservices using Docker, Kubernetes and Helm
- Experience with model deployment and optimisation using tools such as NVIDIA Triton, ONNX, TensorRT or NVIDIA DeepStream
- An understanding of the end-to-end ML lifecycle, including data collection, labelling, augmentation, training, validation and continuous evaluation
- Experience designing scalable data pipelines and APIs for video, image or sensor data
- Familiarity with AWS services such as S3, EC2, IoT Core and DynamoDB
- Experience with monitoring and logging in production environments (e.g. Prometheus, Grafana, ELK or similar)
- An understanding of CI/CD workflows and experience working with distributed systems
- Team leadership experience (desirable, not essential)
- Experience mentoring engineers and supporting their technical development
- Confidence contributing to code quality through reviews and shared standards
- Experience supporting agile delivery practices such as sprint planning and backlog refinement
- Ability to collaborate effectively with product managers, engineers and operations teams
- Clear communication when discussing technical work with non-technical stakeholders.
Benefits
- Competitive salary and private health insurance
- Extra paid day off for your birthday
- Flexible sick leave policies
- Two weeks of additional paid parental leave
- Ongoing professional development and career growth opportunities
- A supportive environment that values balance and wellbeing
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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