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For Companies At a Glance
- Tasks: Design and improve computer vision pipelines for sports broadcasts.
- Company: Dynamic sports broadcasting company with a focus on innovation.
- Benefits: Competitive daily rate, hybrid working, and a collaborative environment.
- Why this job: Join a cutting-edge team and make an impact in live sports technology.
- Qualifications: Strong experience in computer vision and sports video processing.
- Other info: Exciting contract role with opportunities for professional growth.
The predicted salary is between 60000 - 80000 £ per year.
Contract: 6 months
Location: London / Hybrid
Rate: Up to £800 per day
IR35: Outside IR35
Overview
They are looking for an experienced Computer Vision Engineer to join on a 6-month contract to work on broadcast sports video. The role is focused on building and improving computer vision pipelines applied to live and recorded sports broadcasts, extracting structured information from broadcast footage and handling the real-world challenges that come with production-grade video.
Responsibilities
- Design, build, and improve computer vision pipelines operating on sports broadcast video
- Develop models for tasks such as object detection, tracking, event recognition, or temporal analysis
- Work with broadcast-quality footage, including multiple camera angles, replays, overlays, and compression artefacts
- Handle common broadcast challenges such as replays, inconsistent framing, occlusions, and missing context
- Ensure extracted outputs are accurate, consistent, and production-ready
- Collaborate closely with engineers and domain specialists to align on definitions and edge cases
- Contribute pragmatically in a contract environment, owning delivery end to end
Requirements
Must-have:
- Strong commercial experience as a Computer Vision Engineer
- Hands-on experience working with sports broadcast video (live or recorded)
- Solid Python experience and common CV libraries / frameworks
- Experience deploying CV models into real production systems
- Comfortable working with noisy, imperfect, real-world data
- Able to work independently and deliver within tight timelines
Nice to have:
- Experience with video pipelines or streaming systems
- Exposure to real-time or near-real-time CV workloads
- Experience working alongside data or analytics teams
Contract Details
6-month initial contract
Outside IR35
Up to £800 per day
Hybrid working, London
Computer Vision Engineer (Contract | Outside IR35 | Up to £800/day) employer: OpenSource
Contact Detail:
OpenSource Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Computer Vision Engineer (Contract | Outside IR35 | Up to £800/day)
✨Tip Number 1
Network like a pro! Reach out to your connections in the sports broadcasting and computer vision fields. Attend industry meetups or online webinars to meet potential employers and showcase your skills.
✨Tip Number 2
Show off your work! Create a portfolio that highlights your best projects, especially those related to sports video. Use platforms like GitHub to share your code and demonstrate your expertise in Python and CV libraries.
✨Tip Number 3
Prepare for interviews by brushing up on common challenges in sports broadcasting. Be ready to discuss how you've tackled issues like occlusions and inconsistent framing in past projects. We want to see your problem-solving skills in action!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search. Don’t miss out on this opportunity!
We think you need these skills to ace Computer Vision Engineer (Contract | Outside IR35 | Up to £800/day)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with computer vision, especially in sports broadcasting. We want to see how you've tackled real-world challenges and what specific projects you've worked on that relate to the role.
Showcase Your Skills: Don’t just list your skills; demonstrate them! Include examples of how you've used Python and CV libraries in past projects. We love seeing practical applications of your expertise, especially in handling broadcast-quality footage.
Be Clear and Concise: When writing your application, keep it straightforward. We appreciate clarity, so avoid jargon unless it's necessary. Make sure we can easily see how you meet the requirements without sifting through fluff.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it makes the process smoother for everyone involved!
How to prepare for a job interview at OpenSource
✨Know Your Tech Inside Out
Make sure you brush up on your knowledge of computer vision libraries and frameworks, especially those relevant to sports broadcasting. Be ready to discuss your hands-on experience with Python and how you've tackled real-world challenges in previous projects.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've handled common broadcast challenges like occlusions or inconsistent framing. Think about specific instances where you improved a computer vision pipeline or model, and be ready to explain your thought process.
✨Familiarise Yourself with the Industry
Stay updated on the latest trends in sports broadcasting and computer vision. Being able to discuss recent advancements or challenges in the field will show your passion and commitment to the role, making you stand out as a candidate.
✨Practice Collaboration Scenarios
Since the role involves working closely with engineers and domain specialists, think of examples where you've successfully collaborated in a team. Be prepared to discuss how you align on definitions and edge cases, as this will demonstrate your ability to work effectively in a contract environment.
