1,325 Computer Vision Engineer jobs in the United Kingdom

Computer Vision Engineer - Sports Analytics Innovation

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 analysis
Develop 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 systems
Curate and preprocess data to maximize training effectiveness
Deploy models into production environments and monitor their performance
Collaborate closely with engineers, data scientists, and product teams to deliver integrated solutions
Stay 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 processing
Hands-on experience with OpenCV pipelines
Proficiency with deep learning frameworks (PyTorch, TensorFlow, Keras)
Knowledge of CNN architectures and training dynamics
Proven experience deploying and optimizing models for real-time applications
Strong data science and metrics literacy

Nice to have:

PhD or Master's in Computer Science, AI, or related field
Experience with sports data, tracking systems, or analytics platforms
Familiarity 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 environments
Join a team passionate about research, innovation, and continuous learning
Competitive 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.

Computer Vision Engineer - Sports Analytics Innovation

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 analysis
Develop 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 systems
Curate and preprocess data to maximize training effectiveness
Deploy models into production environments and monitor their performance
Collaborate closely with engineers, data scientists, and product teams to deliver integrated solutions
Stay 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 processing
Hands-on experience with OpenCV pipelines
Proficiency with deep learning frameworks (PyTorch, TensorFlow, Keras)
Knowledge of CNN architectures and training dynamics
Proven experience deploying and optimizing models for real-time applications
Strong data science and metrics literacy

Nice to have:

PhD or Master's in Computer Science, AI, or related field
Experience with sports data, tracking systems, or analytics platforms
Familiarity 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 environments
Join a team passionate about research, innovation, and continuous learning
Competitive 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.

Snap Inc ( is a technology company. We believe the camera presents the greatest opportunity to improve the way people live and communicate. Snap contributes to human progress by empowering people to express themselves, live in the moment, learn about the world, and have fun together. The Company's three core products are Snapchat ( , a visual messaging app that enhances your relationships with friends, family, and the world; Lens Studio ( , an augmented reality platform that powers AR across Snapchat and other services; and its AR glasses, Spectacles ( .
**The Spectacles team is pushing the boundaries of technology to bring people closer together in the real world. Our fifth-generation Spectacles, powered by Snap OS, showcase how standalone, see-through AR glasses make playing, learning, and working better together.**
**The Spectacles team is looking for a Machine Learning Engineer to join the AR team in London, UK!**
**In this role, you will be working on state of the art machine learning and computer vision technologies to straddle the boundaries between the real and the virtual world with the next generation of Snap's wearable computing devices.** **Working from our London office, you will be collaborating closely with other Spectacles software and hardware teams around the world.**
**What you'll do:**
+ **Develop and productise novel technologies for the next generation of wearable AR devices.**
+ **Explore and advance state-of-the-art machine learning and computer vision algorithms.**
+ **Develop and deploy machine learning models.**
+ **Work together with our cross-functional engineering and research teams in computer vision, machine learning and AR engineering.**
**Knowledge, Skills & Abilities:**
+ **Deep understanding of machine learning principles, solutions and frameworks to develop networks and models for computer vision tasks**
+ **Ability to understand, debug and improve existing code as well as develop new algorithms using advanced computer vision and machine learning techniques.**
+ **Strong communications and interpersonal skills.**
+ **A genuine passion for learning new things and helping colleagues improve.**
**Minimum Qualifications**
+ **Bachelor's Degree in a relevant technical field such as computer science or equivalent years of practical work experience**
+ **Extensive experience post-Bachelor's computer vision/machine learning experience; or Master's degree in a technical field + extensive experience of post-grad computer vision/machine learning experience; or PhD in a relevant technical field + 4 years of post-grad computer vision/machine learning experience**
+ **Experience in developing machine learning models for at least one of the following areas: geometric scene understanding, semantic scene reconstruction, neural scene representation, monocular depth estimation, visual localisation**
**Preferred Qualifications**
+ **Msc/PhD in related field (Computer Vision, Machine Learning)**
+ **Experience in integrating Machine Learning models into Augmented Reality solutions**
+ **Experience in neural network optimization (pruning, quantization, distillation) to deploy efficient models to resource-constrained devices.**
+ **Experience in geometric computer vision such as SLAM, VIO, Tracking, multi-view 3D reconstruction, Depth Estimation etc.**
+ **Experience with software development in C++**
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"Default Together" Policy at Snap: At Snap Inc. we believe that being together in person helps us build our culture faster, reinforce our values, and serve our community, customers and partners better through dynamic collaboration. To reflect this, we practice a "default together" approach and expect our team members to work in an office 4+ days per week.
At Snap, we believe that having a team of diverse backgrounds and voices working together will enable us to create innovative products that improve the way people live and communicate. Snap is proud to be an equal opportunity employer, and committed to providing employment opportunities regardless of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, pregnancy, childbirth and breastfeeding, age, sexual orientation, military or veteran status, or any other protected classification, in accordance with applicable federal, state, and local laws. EOE, including disability/vets.
Our Benefits ( : Snap Inc. is its own community, so we've got your back! We do our best to make sure you and your loved ones have everything you need to be happy and healthy, on your own terms. Our benefits are built around your needs and include paid parental leave, comprehensive medical coverage, emotional and mental health support programs, and compensation packages that let you share in Snap's long-term success!
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Our client is a pioneering technology company developing advanced solutions in computer vision and machine learning. We are seeking a highly motivated and experienced Senior Computer Vision Engineer to join our dedicated R&D team. This role is based in our state-of-the-art facility and requires on-site presence to foster close collaboration and utilize specialized equipment. You will play a crucial role in designing, developing, and deploying cutting-edge computer vision algorithms and systems that drive innovation in product development.

Responsibilities:

• Design, implement, and optimize computer vision algorithms for tasks such as object detection, tracking, image segmentation, and 3D reconstruction.
• Develop and deploy machine learning models for visual recognition and understanding, leveraging deep learning frameworks.
• Work with large-scale image and video datasets, including data preprocessing, augmentation, and annotation.
• Collaborate with software engineers and hardware specialists to integrate vision systems into final products.
• Conduct thorough testing and validation of vision algorithms and system performance in real-world scenarios.
• Research and apply state-of-the-art techniques in computer vision and related fields.
• Contribute to the technical roadmap and strategy for computer vision development.
• Mentor junior engineers and provide technical guidance on vision-related projects.
• Prepare technical documentation, including design specifications, research papers, and user manuals.
• Identify and resolve complex technical challenges related to image processing and computer vision.
• Ensure the robustness and efficiency of developed algorithms and systems.
• Participate in code reviews and contribute to maintaining high code quality standards.
• Stay current with the latest research and industry trends in computer vision and AI.

Qualifications:

• Master's degree or Ph.D. in Computer Science, Electrical Engineering, or a related field with a specialization in computer vision or machine learning.
• Minimum of 5 years of professional experience in computer vision development.
• Strong proficiency in C++ and Python programming languages.
• Extensive experience with computer vision libraries (e.g., OpenCV) and deep learning frameworks (e.g., TensorFlow, PyTorch).
• Proven track record of developing and deploying computer vision solutions.
• Solid understanding of image processing techniques, geometric vision, and machine learning principles.
• Experience with GPU programming and optimization techniques is highly desirable.
• Excellent problem-solving, debugging, and analytical skills.
• Strong teamwork and communication abilities.
• Ability to work effectively in a fast-paced, collaborative environment.
• Experience with embedded systems and real-time processing is a plus.

If you are a passionate computer vision expert looking to make a significant impact on next-generation technologies, we encourage you to apply for this exciting opportunity at our facility in Liverpool, Merseyside, UK .

Our client, an innovative leader in the development of advanced artificial intelligence solutions, is looking for a talented Senior Computer Vision Engineer to join their fully remote team. This role offers an exciting opportunity to work on cutting-edge projects that leverage machine learning and deep learning techniques to interpret and understand visual data. You will be instrumental in designing, developing, and deploying sophisticated computer vision algorithms and systems that drive real-world applications across various industries. This is a fully remote position, providing you with the flexibility to work from anywhere while contributing to impactful technological advancements.

As a Senior Computer Vision Engineer, you will be responsible for the entire lifecycle of computer vision models, from conceptualization and data preprocessing to algorithm development, implementation, testing, and deployment. You will work with large datasets, applying your expertise in areas such as object detection, image segmentation, facial recognition, optical character recognition (OCR), and 3D vision. Your role will involve selecting appropriate algorithms, optimizing model performance for speed and accuracy, and integrating vision systems into larger software architectures. Collaboration with other AI/ML engineers, software developers, and product managers is key, as you will contribute to defining project requirements and delivering robust, scalable solutions. The ideal candidate possesses a strong foundation in mathematics, statistics, and computer science, coupled with hands-on experience with deep learning frameworks like TensorFlow, PyTorch, or Keras. Excellent programming skills in Python and C++ are essential. You should have a proven ability to conduct research, stay current with the latest advancements in computer vision, and effectively communicate technical findings. This is a fantastic opportunity for a driven engineer to make a significant impact in a rapidly evolving field, all within a supportive and flexible remote work environment.

Key Responsibilities:

• Design, develop, and implement advanced computer vision algorithms and deep learning models.
• Process and analyze large-scale image and video datasets.
• Train, evaluate, and optimize machine learning models for computer vision tasks (e.g., object detection, segmentation, tracking).
• Integrate computer vision systems into real-time applications and software platforms.
• Collaborate with cross-functional teams to define project requirements and deliver solutions.
• Stay up-to-date with the latest research and advancements in computer vision and machine learning.
• Write clean, efficient, and well-documented code in Python and C++.
• Conduct performance testing and debugging of computer vision systems.
• Contribute to the overall AI strategy and roadmap of the company.
• Mentor junior engineers and share expertise within the team.

Our client, a cutting-edge technology firm specialising in AI-driven solutions, is looking for a talented Senior Computer Vision Engineer to join their innovative team in Southampton, Hampshire, UK . This role offers a hybrid working model, combining collaborative in-office work with the flexibility of remote days. You will be responsible for the design, development, and implementation of advanced computer vision algorithms and systems that power our client's next-generation products. Key responsibilities include developing robust object detection, image segmentation, and tracking algorithms; optimising models for real-time performance; and integrating computer vision capabilities into larger software systems. You will work with large datasets, utilise deep learning frameworks (e.g., TensorFlow, PyTorch), and leverage cloud computing platforms. The ideal candidate will have a Master's or PhD in Computer Science, Electrical Engineering, or a related field, with a strong theoretical foundation and practical experience in computer vision and machine learning. Proven experience with C++, Python, and relevant libraries (OpenCV, scikit-image) is essential. Familiarity with embedded systems and hardware acceleration techniques would be a significant advantage. You will collaborate closely with software engineers, data scientists, and product managers to deliver high-impact solutions. This is an excellent opportunity for a passionate engineer to contribute to innovative projects in a dynamic and growing field, within a company that fosters a culture of learning and technological advancement. The hybrid nature of this role allows for a balanced approach to work and personal life while ensuring team synergy.

Our client, a pioneering technology firm, is seeking a talented and experienced Lead Computer Vision Engineer to spearhead the development of advanced visual intelligence systems. This is a critical role based in Belfast, Northern Ireland, UK , where you will lead a team of engineers in designing, implementing, and deploying cutting-edge computer vision algorithms and solutions. The ideal candidate will have a deep understanding of machine learning, image processing, and 3D vision, combined with proven leadership experience and a passion for innovation. You will be instrumental in shaping the future of our client's AI-powered products.

Key Responsibilities:

• Lead the design and development of state-of-the-art computer vision algorithms and systems.
• Manage and mentor a team of computer vision engineers, guiding their technical development and project execution.
• Oversee the entire development lifecycle, from research and prototyping to implementation and deployment.
• Collaborate with product managers and other stakeholders to define project requirements and technical specifications.
• Conduct research into new computer vision techniques and technologies, evaluating their potential application.
• Develop and optimize algorithms for real-time performance and scalability.
• Ensure the quality, robustness, and accuracy of computer vision solutions.
• Stay current with the latest advancements in the field of computer vision and machine learning.
• Contribute to technical strategy and roadmap planning for AI and computer vision initiatives.
• Foster a collaborative and innovative team environment.

Qualifications:

• Master's or Ph.D. in Computer Science, Electrical Engineering, or a related field with a specialization in Computer Vision or Machine Learning.
• Minimum of 7 years of hands-on experience in computer vision development, with a significant portion in a leadership role.
• Strong expertise in image processing, object detection, segmentation, tracking, 3D reconstruction, and deep learning for vision.
• Proficiency in programming languages such as Python or C++, and relevant libraries (e.g., OpenCV, TensorFlow, PyTorch).
• Experience with various camera systems and sensor data fusion is a plus.
• Proven ability to lead technical teams and manage complex projects.
• Excellent analytical, problem-solving, and debugging skills.
• Strong communication and interpersonal skills, with the ability to articulate complex technical concepts.
• Demonstrated experience in deploying computer vision models in production environments.

Our client offers a competitive salary, attractive benefits package, and the opportunity to work on challenging and impactful projects at the cutting edge of technology. This is an exciting career opportunity for a visionary leader in the field of computer vision.

Our client, a leader in AI and Emerging Technologies, is seeking a highly skilled Senior Computer Vision Engineer to join their innovative team in Stoke-on-Trent, Staffordshire, UK . This role involves designing, developing, and deploying advanced computer vision systems for a variety of cutting-edge applications. You will work on challenging problems, from object detection and image segmentation to real-time video analysis and 3D reconstruction. The ideal candidate will have a strong theoretical background in computer vision and machine learning, combined with practical experience in building robust, scalable vision solutions. This is an opportunity to be at the forefront of technological innovation and contribute to transformative projects.

Responsibilities:

• Design, implement, and optimize computer vision algorithms and pipelines for diverse applications.
• Develop and train deep learning models for tasks such as object detection, image classification, segmentation, and tracking.
• Work with large image and video datasets, including data annotation, pre-processing, and augmentation.
• Collaborate with software engineers to integrate computer vision models into production systems.
• Evaluate and benchmark the performance of computer vision models and algorithms.
• Stay current with the latest research and advancements in computer vision and machine learning.
• Contribute to the architectural design of computer vision systems.
• Troubleshoot and resolve issues related to computer vision model performance and deployment.
• Mentor junior engineers and share expertise within the team.
• Document technical designs, algorithms, and experimental results.

Qualifications:

• Master's or Ph.D. in Computer Science, Electrical Engineering, or a related field with a specialization in Computer Vision or Machine Learning.
• Minimum of 5 years of experience in computer vision engineering.
• Proven experience developing and deploying computer vision models using frameworks such as TensorFlow, PyTorch, or OpenCV.
• Strong understanding of fundamental computer vision concepts (e.g., feature detection, image processing, 3D vision).
• Proficiency in programming languages like Python or C++.
• Experience with cloud platforms (AWS, Azure, GCP) and containerization technologies (Docker) is a plus.
• Excellent problem-solving, analytical, and debugging skills.
• Strong communication and collaboration abilities.
• Experience with real-time vision systems and embedded applications is an advantage.
• Ability to work effectively in a hybrid work environment.

Join our pioneering team in Stoke-on-Trent, Staffordshire, UK and help shape the future of visual intelligence.