Lead Computer Vision Engineer

London - UK

Yearly Salary: EUR 80000 - 100000

Posted on: 4 days ago

Vacancies: 1 Vacancy

Job Summary

Were partnering with a data-driven technology company thats investing heavily in advanced video analytics. Theyre looking for a Lead Computer Vision Engineer to join a growing data function and take ownership of how large-scale video data is transformed into structured high-value insights.

This is a high-impact role sitting at the intersection of computer vision data engineering and applied analytics. Youll be the most senior CV specialist in the organisation setting technical direction and helping move an existing semi-manual workflow towards a highly automated reliable production-grade pipeline.

If you enjoy solving messy real-world problems owning systems end to end and seeing your work directly influence business outcomes this role offers a lot of autonomy and responsibility.

Tasks

Designing building and deploying production-ready computer vision pipelines that extract structured events and signals from long-form variable-quality video footage
Scaling and automating processing systems across large archives of historical video while also supporting near-real-time use cases
Reducing manual intervention by identifying opportunities for automation and system improvement
Defining validation frameworks metrics and monitoring to ensure model accuracy and reliability
Working closely with domain experts to define rules edge cases and quality thresholds
Acting as the technical authority for computer vision influencing architecture standards and long-term strategy
End-to-end ownership: Take systems from early design through to deployment monitoring and iteration
Technical leadership: Own architectural decisions and guide the evolution of the computer vision platform
Quality and reliability: Build robust validation and monitoring to ensure outputs can be trusted at scale
Strategic impact: Shape how computer vision is applied across the business as the function matures

Requirements

Proven commercial experience building and deploying computer vision systems in production
Strong hands-on experience in areas such as object detection tracking temporal event detection pose estimation or action recognition
Excellent Python skills and experience with common CV/ML libraries such as OpenCV PyTorch or TensorFlow
Experience owning technical and architectural decisions for data-intensive systems
A pragmatic delivery-focused mindset with the ability to balance experimentation and production reliability

Nice to have

Experience working with noisy imperfect real-world video data (e.g. broadcast or user-generated footage)
Exposure to MLOps practices and tooling for deploying and monitoring models at scale
Familiarity with sports media or broadcast video analytics

Benefits

Up to 30% bonus.
Enhanced pension contributions
Private health insurance and life assurance
Sabbatical option after five years
33 days annual leave (including bank holidays)
The opportunity to work on technically challenging high-impact systems that directly influence business performance

If you enjoy solving messy real-world problems owning systems end to end and seeing your work directly influence business outcomes this role offers a lot of autonomy and responsibility.

Tasks

Designing building and deploying production-ready computer vision pipelines that extract structured events and signals from long-form variable-quality video footage
Scaling and automating processing systems across large archives of historical video while also supporting near-real-time use cases
Reducing manual intervention by identifying opportunities for automation and system improvement
Defining validation frameworks metrics and monitoring to ensure model accuracy and reliability
Working closely with domain experts to define rules edge cases and quality thresholds
Acting as the technical authority for computer vision influencing architecture standards and long-term strategy
End-to-end ownership: Take systems from early design through to deployment monitoring and iteration
Technical leadership: Own architectural decisions and guide the evolution of the computer vision platform
Quality and reliability: Build robust validation and monitoring to ensure outputs can be trusted at scale
Strategic impact: Shape how computer vision is applied across the business as the function matures

Requirements

Proven commercial experience building and deploying computer vision systems in production
Strong hands-on experience in areas such as object detection tracking temporal event detection pose estimation or action recognition
Excellent Python skills and experience with common CV/ML libraries such as OpenCV PyTorch or TensorFlow
Experience owning technical and architectural decisions for data-intensive systems
A pragmatic delivery-focused mindset with the ability to balance experimentation and production reliability

Nice to have

Experience working with noisy imperfect real-world video data (e.g. broadcast or user-generated footage)
Exposure to MLOps practices and tooling for deploying and monitoring models at scale
Familiarity with sports media or broadcast video analytics

Benefits

Up to 30% bonus.
Enhanced pension contributions
Private health insurance and life assurance
Sabbatical option after five years
33 days annual leave (including bank holidays)
The opportunity to work on technically challenging high-impact systems that directly influence business performance