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For Companies At a Glance
- Tasks: Design and optimise deep learning algorithms for real-time sports analytics.
- Company: Pioneering tech company leading in sports analytics and AI.
- Benefits: Competitive salary of £70k plus OTE up to £200k, hybrid work options.
- Why this job: Make a real impact on how millions experience live sports.
- Qualifications: Strong background in Computer Vision and deep learning frameworks.
- Other info: Join a passionate team focused on innovation and continuous learning.
The predicted salary is between 42000 - 84000 £ per year.
Job Description
Location: London, UK (Hybrid / Flexible)Salary: £70,000 base + OTE up to £140k-£200k in Year 1
About the Opportunity
We are working with a pioneering technology company at the forefront of sports analytics and artificial intelligence. This is a unique chance to apply your expertise in computer vision and machine learning to real-world challenges – building advanced systems for precise player and pitch detection and tracking during live sports events.
You'll be part of a collaborative, research-driven team where your work will directly influence how millions of fans, teams, and broadcasters experience sport.
Key Responsibilities
Design, implement, and optimize deep learning algorithms for image and video analysisDevelop and enhance computer vision pipelines using both classical methods (OpenCV) and modern techniques (CNNs, detection/segmentation heads)Train, evaluate, and fine-tune models on large datasets, ensuring performance and accuracy in real-time systemsCurate and preprocess data to maximize training effectivenessDeploy models into production environments and monitor their performanceCollaborate closely with engineers, data scientists, and product teams to deliver integrated solutionsStay ahead of emerging trends in AI, CV, and ML, experimenting with innovative approaches
About You
We're looking for someone who thrives at the intersection of research and applied engineering. You enjoy solving complex problems and pushing models into production that have tangible, high-profile impact.
Essential experience:
Strong background in Computer Vision and image/video processingHands-on experience with OpenCV pipelinesProficiency with deep learning frameworks (PyTorch, TensorFlow, Keras)Knowledge of CNN architectures and training dynamicsProven experience deploying and optimizing models for real-time applicationsStrong data science and metrics literacy
Nice to have:
PhD or Master's in Computer Science, AI, or related fieldExperience with sports data, tracking systems, or analytics platformsFamiliarity with cloud platforms (AWS, GCP) and containerization (Docker)
Why Apply?
Work on high-impact, real-world projects where your algorithms will be deployed in live sports environmentsJoin a team passionate about research, innovation, and continuous learningCompetitive salary £70k base with exceptional OTE (£140k-£200k Year 1)Opportunity to make your mark in a fast-growing, cutting-edge technology sector
If you're excited by the idea of bringing Computer Vision innovation into live sports and want to be part of a team that's shaping the future of sports technology, we'd love to hear from you.
Senior Computer Vision Engineer employer: NonStop Consulting Ltd
Contact Detail:
NonStop Consulting Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Computer Vision Engineer
✨Network Like a Pro
Get out there and connect with folks in the industry! Attend meetups, webinars, or conferences related to computer vision and sports analytics. You never know who might have a lead on your dream job!
✨Show Off Your Skills
Create a portfolio showcasing your projects, especially those involving deep learning and computer vision. Share it on platforms like GitHub or your personal website, and make sure to highlight any real-world applications you've worked on.
✨Ace the Interview
Prepare for technical interviews by brushing up on your knowledge of CNNs, OpenCV, and model deployment. Practice explaining your thought process clearly, as communication is key when collaborating with teams.
✨Apply Through Us!
Don't forget to check out our website for the latest job openings. Applying directly through us not only shows your interest but also gives you a better chance of landing that interview!
We think you need these skills to ace Senior Computer Vision Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in computer vision and deep learning. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about sports analytics and how your background makes you a perfect fit for our team. Keep it engaging and personal!
Showcase Your Projects: If you've worked on any cool projects related to image/video processing or AI, make sure to mention them. We love seeing practical applications of your skills, especially if they relate to real-time systems!
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 don’t miss out on any important updates from our team!
How to prepare for a job interview at NonStop Consulting Ltd
✨Know Your Tech Inside Out
Make sure you’re well-versed in the latest computer vision techniques and frameworks like OpenCV, PyTorch, and TensorFlow. Brush up on your knowledge of CNN architectures and be ready to discuss how you've applied these in real-world scenarios.
✨Showcase Your Problem-Solving Skills
Prepare to talk about specific challenges you've faced in previous projects and how you tackled them. Use examples that highlight your ability to deploy models in real-time applications, as this is crucial for the role.
✨Get Familiar with Sports Analytics
Since this position is focused on sports analytics, it’s a good idea to understand the basics of sports data and tracking systems. Research current trends in sports technology and think about how your skills can contribute to enhancing fan experiences.
✨Ask Insightful Questions
Interviews are a two-way street! Prepare thoughtful questions about the team’s current projects, their approach to innovation, and how they measure success. This shows your genuine interest in the role and helps you gauge if it’s the right fit for you.
