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Senior Computer Vision Engineer

Methodfi

Basingstoke

Hybrid

GBP 64,000 - GBP 86,000

Full time

Today
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Job summary

A leading technology firm is seeking a Senior Computer Vision Engineer to develop advanced computer vision algorithms. This role focuses on creating solutions for sports tracking systems, requiring expertise in modern C++ and performance optimization. With a hybrid work model based in locations like Basingstoke, the position offers a competitive salary ranging from £64,150 to £85,540. Candidates should have strong debugging skills and experience with multi-camera systems and cloud-enabled configurations.

Benefits

25 days annual leave
Enhanced pension scheme with 5% matching
Onsite gym
Access to sporting events
Sony Group Company discounts

Qualifications

  • Strong commercial experience developing computer vision algorithms.
  • Advanced knowledge of modern C++, working within large, production codebases.
  • Strong understanding of performance optimisation including CPU and GPU workloads.

Responsibilities

  • Lead the development and improvement of computer vision algorithms from concept through to production.
  • Design, implement, test, and validate complex algorithmic features.
  • Take ownership of algorithmic components and drive their long-term maintainability and quality.

Skills

Computer vision algorithms
Modern C++
Performance optimisation
Image processing
Multi-camera systems
Cross-platform systems
Cloud-based systems
Debugging skills
Git
Visual Studio

Tools

CUDA
Git
Visual Studio
Job description
Senior Computer Vision Engineer – Algorithms
Offices: London, Basingstoke and Bristol
Working model: Hybrid (2 days per week)
Salary: £64,150 - £85,540
About the Role

We’re looking for a Computer Vision Engineer – Algorithms to join our Computer Vision team at Hawk-Eye Innovations.

This role is suited to an experienced engineer who enjoys owning complex algorithmic systems and seeing them operate in real-world, production environments. You’ll work on elite-level tennis tracking systems, contributing directly to the design, evolution, and long-term quality of core computer vision algorithms used in live sporting environments.

The role is strongly algorithm-focused, with an emphasis on accuracy, performance, robustness, and system-level thinking, spanning modern C++, multi-camera geometry, cross-platform deployments, and cloud-enabled pipelines.

What You’ll Work On
  • Designing, developing, and improving tennis ball tracking algorithms using multi-camera systems

  • Owning and evolving multi-view geometry solutions for accurate, court-wide tracking

  • Developing robust approaches to occlusion handling, recovery, and failure modes in fast-paced sports scenarios

  • Enhancing and maintaining mature, long-running computer vision systems used in live production

  • Optimising algorithms for performance and reliability, including CPU and GPU considerations

  • Contributing to cross-platform systems, ensuring algorithms run consistently across environments

  • Supporting the integration of algorithms into cloud-enabled and distributed systems

  • Working in an agile environment to deliver robust, production-ready solutions at scale

Key Responsibilities
  • Lead the development and improvement of computer vision algorithms from concept through to production

  • Design, implement, test, and validate complex algorithmic features

  • Take ownership of algorithmic components and drive their long-term maintainability and technical quality

  • Collaborate closely with engineers across computer vision, tracking, tooling, and platform teams

  • Contribute to technical discussions around architecture, performance, scalability, and deployment

  • Identify weaknesses in existing approaches and propose pragmatic improvements

  • Share progress, decisions, and learnings with the wider team

  • Support and mentor other engineers through code reviews and technical guidance

Skills, Knowledge, and Experience

We’re looking for someone with:

  • Strong commercial experience developing computer vision algorithms

  • Advanced knowledge of modern C++, working within large, production codebases

  • Strong understanding of performance optimisation, including CPU and GPU workloads

  • Solid experience with image processing, geometry, and multi-camera systems

  • Experience working with cross-platform systems and real-world deployment environments

  • Familiarity integrating algorithmic components into cloud-based or distributed systems

  • Strong debugging skills and the ability to reason about complex system behaviour

  • Confident use of Git and Visual Studio in collaborative engineering environments

Nice to have (but not essential):

  • Experience with CUDA or GPU acceleration

  • Awareness of concurrency, networking, or operating system concepts

  • Experience deploying or supporting algorithms in cloud environments

  • Interest in machine learning techniques and related libraries

Reward, Benefits, and Wellness
UK Benefits
  • 25 days annual leave (excluding bank holidays)

  • Enhanced pension scheme with 5% matching

  • Hybrid working model

  • Complimentary Unmind wellbeing app

  • Onsite gym (Basingstoke)

  • Access to sporting events and tickets

  • Sony Group Company discounts

Hungary Benefits
  • Annual leave in line with local labour law

  • Hybrid working model (2 days per week in the office)

  • Access to sporting events and tickets

  • Sony Group Company discounts

Cafeteria benefits include:

  • SZÉP Card

  • Nursery & Kindergarten contributions

  • Annual MOL Bubi Pass

  • Private medical insurance

  • Life & accident insurance

  • MindentMent Dental Clinic discounts

  • Seniority awards

  • Employee Assistance Program

Equal Opportunity and Inclusion

As an active part of a culturally and socially diverse society, Sony Sports Businesses is committed to building a diverse and inclusive workforce.

We employ, retain, promote, and treat all employees and applicants fairly, based on skills, qualifications, and professional experience. Our commitment is to provide a respectful and inclusive environment where people can contribute, develop, and succeed.

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