Computer Vision Engineer
Posted today
Job Viewed
Job Description
Who We Are
At Ultralytics , we relentlessly drive innovation in AI, building the world's leading YOLO models . We're looking for passionate individuals obsessed with AI, eager to make a global impact, and ready to excel in a dynamic, high-energy environment. Join our team and help shape the future of Vision AI .
Location and Legalities
This full-time Computer Vision Engineer position is based onsite in our brand-new Ultralytics office in London, UK. Applicants must have legal authorization to work in the UK, as Ultralytics does not provide visa sponsorship.
Computer Vision Engineer
Posted 1 day ago
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 (
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.
Senior Computer Vision Engineer
Posted 1 day ago
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 1 day ago
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 29 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.
Machine Learning Engineer - Computer Vision
Posted 2 days 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.
Be The First To Know
About the latest Computer Jobs in London !
Senior AI Engineer - Computer Vision
Posted 1 day ago
Job Viewed
Job Description
Responsibilities:
- Lead the design, development, and implementation of computer vision systems and algorithms.
- Develop and train deep learning models for tasks such as image recognition, object detection, segmentation, and tracking.
- Utilize frameworks like TensorFlow, PyTorch, and Keras to build and optimize CV models.
- Process and analyze large image and video datasets, ensuring data quality and integrity.
- Collaborate with software engineers to integrate CV solutions into product pipelines and applications.
- Stay current with the latest research and advancements in computer vision and AI.
- Conduct rigorous testing and validation of CV models, ensuring robustness and accuracy.
- Contribute to technical documentation, research papers, and patent applications.
- Mentor junior AI engineers and share expertise within the team.
- Present findings and solutions to both technical and non-technical stakeholders.
- Master's or Ph.D. degree in Computer Science, Artificial Intelligence, Electrical Engineering, or a related field with a focus on Computer Vision.
- Extensive experience in developing and deploying computer vision models in a professional setting.
- Deep understanding of machine learning principles, deep learning architectures (CNNs, RNNs, Transformers), and relevant mathematical concepts.
- Proficiency in Python and experience with computer vision libraries (e.g., OpenCV) and deep learning frameworks.
- Experience with cloud platforms (AWS, Azure, GCP) for AI/ML workloads.
- Strong problem-solving, analytical, and critical thinking skills.
- Excellent communication and collaboration skills, with the ability to work effectively in a hybrid team environment.
- Experience with data augmentation, model optimization, and performance evaluation techniques.
- Familiarity with image and video processing pipelines.
- A passion for innovation and pushing the boundaries of AI.
Lead AI/ML Engineer (Computer Vision)
Posted today
Job Viewed
Job Description
Computer Science Teacher
Posted 4 days ago
Job Viewed
Job Description
Computer Science Teacher
Are you looking to join an exceptional Secondary School in Kensington with great behaviour throughout? If so, this permanent Computer Science Teacher position starting in September could be perfect for you!
What can this Kensington Secondary School offer you?
- Additional PPA time and a lower timetable
- A focus on staff wellbeing and maintaining a positive work-life balance
- Guidance from SLT / Mentors
- Excellent CPD opportunities and career progression support
- Exposure to the Network / Trust!
This school is eager to find a Computer Science Teacher who is going to come into the classroom and continuously motivate, inspire and promote a positive learning environment. The Headteacher is also offering the right candidate the opportunity to take on additional responsibility through various TLR's including the chance to be 2iC.
If you would like to find out more information about this fantastic Computer Science Teacher position, please read below!
Computer Science Teacher , Job Spec:
- Computer Science Teacher
- TLR's available include 2iC
- MPS1-UPS3
- Permanent contract starting from September 2025
- Outer London Payscale
- Based within Kensington
Computer Science Teacher , School Spec:
- High-performing 11-18 Secondary School
- Great behaviour across the school
- Supportive working environment and SLT
- Modern MAT school with access to state-of-the-art technology suites
- Fantastic industry lead CPD opportunities
- Great transport links
Computer Science Teacher , Candidate Spec:
- QTS required
- Hold a degree in Computer Science or akin degree
- Previous experience teaching Computer Science
- Can work effectively and collaboratively within a wider team
- Be friendly, reliable and hold a high level of integrity
- Passion for supporting young people and inspiring them in the subject
Apply for this Computer Science Teacher opportunity by sending your CV to Joe at EdEx. You will be contacted by your personal consultant (if shortlisted)!
Computer Science Teacher - Great Behaviour - Kensington Secondary School
INDT