Explore the exciting field of computer vision, a branch of artificial intelligence that enables computers to "see" and interpret images like humans. Computer vision jobs are in high demand across various industries, including automotive, healthcare, and manufacturing. These roles involve developing algorithms and models for image recognition, object detection, and image analysis. 329 Computer Vision jobs in the United Kingdom
Computer Vision Engineer
Posted today
Job Viewed
Job Description
**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 Computer Vision/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**
+ **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 + 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++**
If you have a disability or special need that requires accommodation, please don't be shy and provide us some information ( .
"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!
**A Decade of Snap ( **:** Learn about our origin story, values, mission, culture of innovation, and more.
**CitizenSnap ( **:** In our third annual CitizenSnap Report, we demonstrate progress towards our environmental, social, and governance (ESG) goals, and we lay out our plans looking forward.
**The DEI Innovation Summit ( **:** Watch highlights from the 2nd annual DEI Innovation Summit, which brings together thought leaders and DEI experts for a day of courageous conversations to enable bold action.
**Snap News ( **:** Stay up to date on the latest and greatest product and innovation news at Snap
Applicant and Candidate Privacy Policy (
Computer Vision Engineer
Posted 5 days ago
Job Viewed
Job Description
Job Title: Computer Vision Engineer
About us:
VisionTrack is a multiple award winning IOT, high throughout / big data insurance telematics & video solution.
Role:
We are looking for developers with experience in computer vision applications to join one of our agile development teams. We try to avoid silos of knowledge so the role will involve working in all areas of the solution but with more emph.
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Computer Vision Lead
Posted 28 days ago
Job Viewed
Job Description
At Neurolabs, we’re helping the world’s leading CPG brands unlock real-time visibility in retail. Our Image Recognition technology is powered by synthetic data and digital twins, giving customers scalable, accurate insights - fast. No manual audits. No delays. No retraining. Just immediate visibility into what’s actually happening in-store.
We’ve built our platform to solve real field problems. From faster SKU onboarding to better promo execution, we work across teams to connect strategy with shelf reality. With easy integration and the fastest time to value in the category, we’re not just digitising audits - we’re powering smarter, data-backed execution for global CPGs.
We’re looking for a Computer Vision Lead to guide our ML team and shape how we build and deliver state-of-the-art visual AI at scale. You’ll lead a small, talented team working on complex models, smart pipelines and a growing LVM foundation. Your focus will be on clarity, prioritisation, and people — driving sprint rhythms that help the team move fast and stay engaged.
This is a high-trust, high-impact role, perfect for someone ready to scale their leadership journey and make a meaningful difference.
Why this role mattersIn-store execution is broken - slow, manual, outdated. We're fixing that.
At the core of our platform is a Computer Vision engine powered by synthetic data, large vision models and smart pipelines. We're moving fast, solving hard problems and scaling globally. You’ll be central to how we grow and evolve this function.
Your mission: build the rhythm that helps the team deliver their best work.
Senior Computer Vision Engineer
Posted today
Job Viewed
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 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.
Staff Computer Vision Engineer
Posted today
Job Viewed
Job Description
**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++**
If you have a disability or special need that requires accommodation, please don't be shy and provide us some information ( .
"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!
**A Decade of Snap ( **:** Learn about our origin story, values, mission, culture of innovation, and more.
**CitizenSnap ( **:** In our third annual CitizenSnap Report, we demonstrate progress towards our environmental, social, and governance (ESG) goals, and we lay out our plans looking forward.
**The DEI Innovation Summit ( **:** Watch highlights from the 2nd annual DEI Innovation Summit, which brings together thought leaders and DEI experts for a day of courageous conversations to enable bold action.
**Snap News ( **:** Stay up to date on the latest and greatest product and innovation news at Snap
Applicant and Candidate Privacy Policy (
Staff Computer Vision Engineer
Posted 28 days ago
Job Viewed
Job Description
At Neurolabs, we’re helping the world’s leading CPG brands unlock real-time visibility in retail. Our Image Recognition technology is powered by synthetic data and digital twins, giving customers scalable, accurate insights — fast. No manual audits. No delays. No retraining. Just immediate visibility into what’s actually happening in-store.
We’ve built our platform to solve real field problems. From faster SKU onboarding to better promo execution, we work across teams to connect strategy with shelf reality. With easy integration and the fastest time to value in the category, we’re not just digitising audits - we’re powering smarter, data-backed execution for global CPGs.
We’re looking for a Staff Computer Vision Engineer to join our team and play a key role in scaling our vision AI product into a robust, performant, production-grade system. You’ll bring deep technical experience, scientific rigour and a product-aware mindset to the table. This is a role for someone who loves solving tough problems, staying hands-on and helping shape how a team works and wins together.
Why this role mattersIn-store execution is broken - slow, manual, outdated. We're fixing that.
At the core of our platform is a Computer Vision engine powered by synthetic data, large vision models and smart pipelines. We're moving fast, solving hard problems and scaling globally. You’ll be central to how we grow and evolve this function.
Your mission: turn complex vision problems into practical, scalable solutions.
Senior Computer Vision Engineer
Posted 412 days ago
Job Viewed
Job Description
Office locations for this role include - Bristol, Burton, Warrington, Gloucester and Glasgow.
Salary range is £52,500pa - £4,500pa depending on experience.
Do you want to help us create a safe and secure world through the delivery of transformational and trusted autonomous technologies?
We seek to develop novel autonomous systems for a better world, working with the latest sensors, deploying our technology to advanced computing platforms and experimenting with novel vehicles.
Our team works closely with customers and users, ensuring we are solving real problems in a way that can be deployed in real situations. This means the systems we develop must be safe, reliable and trustworthy.
We are looking to grow our team with intelligent, talented and motivated people to continue to deliver transformational technology.
The role presents a unique opportunity to work on cutting edge technology and see your ideas deployed in the real world, becoming a key figurehead within our Engineering Area. We often work on projects which develop ideas into live system demonstrations in 12 months or less.
This rapid development cycle can only succeed with a team which has the skills and abilities to understand and solve unexpected challenges.
To achieve this, you will be:
- Researching and understanding the current state of the art to select the best set of technologies to apply to the problem.
- Developing and integrating the solutions to work in simulations and on physical platforms to characterise and develop performance.
- Working with customers and users to understand their needs and constraints, developing concepts and methods which could solve their problems.
- Supporting trials and demonstrations to customers and users.
Your role would focus on specifying, developing and delivering AI based technical solutions. You would be supported in taking a senior project role, which would likely involve capability development, client engagement, project and financial responsibility.
You would have the opportunity to keep developing your own technical and consultancy skills, but also to mentor and support more junior staff helping them reach their potential.
If you’re interested in joining our team, please submit your CV along with a short covering letter detailing why you feel you’d be a good fit for this role.
Requirements
This role would suit someone with solid technical experience looking to take the next step and move into a wider leadership role.
Our ideal team member would meet the following requirements:
- Experience specifying, developing, and deploying AI approaches to solve real-world problems.
- Strong experience in modern computer vision techniques
- Ability to communicate complex information to both technical and non-technical audiences.
- Skilled with common Python deep learning frameworks (e.g. TensorFlow and PyTorch)
- Experience in deploying to edge AI hardware
We’d love to hear if you have any other relevant experience, such as experience of geo spatial data processing, generative AI techniques, reinforcement learning, optimisation or non-visible sensing technologies.
Due to the nature of the work that Frazer-Nash Consultancy undertake, candidates will be required to undergo pre-employment screening and must be able to satisfy clearance criteria for UK National Security Vetting.
Benefits
- Happy To Talk Flexible Working
- Competitive salary: [£52,500 4,500]
- 25 days' holiday entitlement
- Holiday sale and purchase scheme
- Company pension scheme
- Targeted professional development
- Life assurance
- Private healthcare membership
- Bonus scheme linked into company performance
- Paid membership fees to a professional institution
- Support in attaining professional membership
- Cycle to work scheme
- Season rail ticket loan
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Machine Learning Engineer - Computer Vision
Posted 1 day ago
Job Viewed
Job Description
6 Month Contract - Hybrid Working - Asap Start - Outside of IR-35
Overview
The Explore Group are working with one of our tier 1 clients in securing an experienced Machine Learning Engineer with strong expertise in Computer Vision to join our team on a 6 month initial contract (with guaranteed extensions). You will play a key role in designing, building, and deploying machine learning models that drive innovation in image and video processing.
Responsibilities
- Develop, train, and optimise computer vision models for real world applications.
- Work with large datasets including images and video, ensuring data preprocessing, augmentation, and pipeline optimisation.
- Deploy ML models into production, ensuring scalability, efficiency, and reliability.
- Collaborate closely with data scientists, software engineers, and product teams to translate business needs into technical solutions.
- Stay up to date with the latest advancements in deep learning, computer vision, and related technologies.
Key Skills & Experience
- Strong hands on experience with Computer Vision frameworks (e.g., OpenCV, PyTorch, TensorFlow).
- Proficiency in Python and ML/DL libraries (NumPy, Pandas, scikit-learn).
- Proven track record of building and deploying ML models in production environments.
- Knowledge of MLOps tools (e.g., MLflow, Kubeflow, Docker, Kubernetes, or similar).
- Experience working with cloud platforms (AWS, Azure, or GCP).
- Solid understanding of CNNs, object detection, segmentation, and image classification.
- Strong problem-solving skills and ability to work in a hybrid, collaborative environment.
Nice to Have
- Experience with transformer-based vision models (ViT, CLIP, SAM).
- Familiarity with real-time inference and optimisation (ONNX, TensorRT).
- Previous work on video analytics, 3D vision, or multi-modal ML projects.
Machine Learning Engineer - Computer Vision
Posted 1 day ago
Job Viewed
Job Description
6 Month Contract - Hybrid Working - Asap Start - Outside of IR-35
Overview
The Explore Group are working with one of our tier 1 clients in securing an experienced Machine Learning Engineer with strong expertise in Computer Vision to join our team on a 6 month initial contract (with guaranteed extensions). You will play a key role in designing, building, and deploying machine learning models that drive innovation in image and video processing.
Responsibilities
- Develop, train, and optimise computer vision models for real world applications.
- Work with large datasets including images and video, ensuring data preprocessing, augmentation, and pipeline optimisation.
- Deploy ML models into production, ensuring scalability, efficiency, and reliability.
- Collaborate closely with data scientists, software engineers, and product teams to translate business needs into technical solutions.
- Stay up to date with the latest advancements in deep learning, computer vision, and related technologies.
Key Skills & Experience
- Strong hands on experience with Computer Vision frameworks (e.g., OpenCV, PyTorch, TensorFlow).
- Proficiency in Python and ML/DL libraries (NumPy, Pandas, scikit-learn).
- Proven track record of building and deploying ML models in production environments.
- Knowledge of MLOps tools (e.g., MLflow, Kubeflow, Docker, Kubernetes, or similar).
- Experience working with cloud platforms (AWS, Azure, or GCP).
- Solid understanding of CNNs, object detection, segmentation, and image classification.
- Strong problem-solving skills and ability to work in a hybrid, collaborative environment.
Nice to Have
- Experience with transformer-based vision models (ViT, CLIP, SAM).
- Familiarity with real-time inference and optimisation (ONNX, TensorRT).
- Previous work on video analytics, 3D vision, or multi-modal ML projects.