Computer Vision Engineer
Posted 13 days 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 14 days 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.
Senior Computer Vision Engineer
Posted 10 days 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 13 days 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 (
Senior AI Engineer - Computer Vision
Posted 21 days 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 Machine Learning Engineer - Computer Vision
Posted 10 days ago
Job Viewed
Job Description
Responsibilities:
- Lead the end-to-end development lifecycle of machine learning models for computer vision applications, from data acquisition and preprocessing to model training, evaluation, and deployment.
- Architect scalable and efficient ML systems, ensuring robustness and performance in production environments.
- Collaborate closely with data scientists, software engineers, and product managers to understand requirements and deliver cutting-edge solutions.
- Mentor and guide junior machine learning engineers, fostering a culture of technical excellence and continuous learning.
- Stay abreast of the latest research and advancements in computer vision, deep learning, and related fields.
- Implement and optimize deep learning models using frameworks such as TensorFlow, PyTorch, or Keras.
- Develop strategies for data augmentation, feature engineering, and model validation.
- Conduct thorough code reviews and ensure adherence to best practices in software development and MLOps.
- Troubleshoot and resolve complex issues in ML pipelines and deployed models.
- Contribute to the company's intellectual property through research, publications, and patents.
- Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
- Significant professional experience (7+ years) in machine learning engineering, with a strong specialization in computer vision.
- Proven expertise in developing and deploying deep learning models for tasks such as object detection, image segmentation, facial recognition, and image generation.
- Proficiency in Python and deep learning frameworks (TensorFlow, PyTorch).
- Strong understanding of image processing techniques and algorithms.
- Experience with cloud platforms (AWS, Azure, GCP) and MLOps tools (e.g., Docker, Kubernetes, MLflow).
- Excellent problem-solving, analytical, and critical thinking skills.
- Strong leadership and team management capabilities.
- Exceptional communication and collaboration skills, with the ability to articulate complex technical concepts effectively.
- Experience with large-scale datasets and distributed training is highly desirable.
Lead AI/ML Engineer - Computer Vision
Posted 13 days ago
Job Viewed
Job Description
Key Responsibilities:
- Lead the end-to-end development and deployment of AI/ML models, with a strong focus on computer vision applications (e.g., image recognition, object detection, segmentation, image generation).
- Design and implement scalable, robust, and efficient machine learning pipelines and infrastructure.
- Architect and develop deep learning models using frameworks such as TensorFlow, PyTorch, or similar.
- Conduct rigorous experimentation, model training, evaluation, and optimization.
- Collaborate with product managers and stakeholders to define project requirements and translate them into technical specifications.
- Mentor and guide junior AI/ML engineers, fostering a culture of technical excellence and innovation.
- Stay abreast of the latest research and advancements in AI, machine learning, and computer vision.
- Optimize ML models for performance, scalability, and deployment on various platforms (cloud, edge devices).
- Develop strategies for data acquisition, annotation, and management for ML projects.
- Contribute to the company's intellectual property through patents and publications.
- Ensure code quality, maintainability, and adherence to software engineering best practices.
- Master's or PhD in Computer Science, Artificial Intelligence, Machine Learning, Electrical Engineering, or a related quantitative field.
- Minimum of 7-10 years of hands-on experience in AI/ML development, with a significant focus on computer vision.
- Expertise in deep learning frameworks (TensorFlow, PyTorch, Keras).
- Proficiency in programming languages such as Python, and relevant libraries (e.g., OpenCV, Scikit-learn, NumPy).
- Strong understanding of classical computer vision algorithms and modern deep learning approaches.
- Experience with cloud platforms (AWS, Azure, GCP) and MLOps practices.
- Proven leadership experience, with the ability to guide and mentor technical teams.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and interpersonal skills, with the ability to explain complex technical concepts clearly.
- Experience with large-scale datasets and distributed training is a plus.
- Publications in top-tier AI/ML conferences (e.g., NeurIPS, ICML, CVPR) are highly desirable.
Be The First To Know
About the latest Computer Jobs in London !
Senior AI/ML Engineer - Computer Vision
Posted 18 days ago
Job Viewed
Job Description
Key Responsibilities:
- Design, develop, train, and deploy advanced machine learning models for computer vision tasks such as object detection, image segmentation, facial recognition, and scene understanding.
- Implement state-of-the-art deep learning architectures (e.g., CNNs, Transformers) using frameworks like TensorFlow, PyTorch, or JAX.
- Conduct extensive data collection, preprocessing, augmentation, and annotation for training ML models.
- Perform rigorous model evaluation, hyperparameter tuning, and performance optimization.
- Develop and implement strategies for deploying ML models into production environments, ensuring scalability and efficiency.
- Collaborate with software engineers to integrate ML models into larger applications and systems.
- Stay abreast of the latest research papers, trends, and breakthroughs in AI, ML, and computer vision.
- Contribute to the development of intellectual property and publish research findings where appropriate.
- Mentor junior engineers and provide technical guidance on ML projects.
- Work closely with product managers and stakeholders to understand requirements and translate them into technical solutions.
- Ensure ethical considerations and bias mitigation are addressed in AI model development.
- Design and conduct experiments to validate hypotheses and explore new avenues for AI applications.
- Manage MLOps pipelines for efficient model training, deployment, and monitoring.
- Master's or PhD in Computer Science, Artificial Intelligence, Machine Learning, Electrical Engineering, or a related quantitative field.
- Minimum of 5-7 years of hands-on experience in developing and deploying computer vision models in a research or industry setting.
- Proven expertise in deep learning frameworks (TensorFlow, PyTorch) and Python programming.
- Strong understanding of computer vision principles, algorithms, and libraries (e.g., OpenCV).
- Experience with data handling, model training, and evaluation techniques.
- Familiarity with MLOps practices and tools (e.g., Docker, Kubernetes, MLflow).
- Excellent problem-solving, analytical, and critical thinking skills.
- Strong communication and collaboration skills, with the ability to explain complex technical concepts.
- Experience with cloud computing platforms (AWS, Azure, GCP) is a plus.
- Demonstrated ability to work independently and as part of a high-performing team.
- A portfolio of relevant projects or publications is highly desirable.
Lead AI/ML Engineer (Computer Vision)
Posted 21 days ago
Job Viewed
Job Description
Computer Science Teacher
Posted 2 days ago
Job Viewed
Job Description
Job Title: Computer Science Teacher
Location: East London
Job Type: Full-Time (5 days a week), Long Term
About Us:
Remedy connects passionate educators with schools across London. We are seeking a qualified Computer Science Teacher for a full-time, long-term position at a secondary school in East London.
Job Overview:
As a Computer Science Teacher, you'll inspire students to understand programming, algorithms, and computing concepts. You will plan and deliver engaging lessons, assess progress, and collaborate with colleagues. The ideal Computer Science Teacher will hold a PGCE and QTS or QTLS. NQTs and those with equivalent qualifications are welcome to apply.
Key Responsibilities:
- Plan and deliver engaging Computer Science Teacher lessons.
- Inspire understanding of computing and programming.
- Assess and monitor student progress in computer science.
- Collaborate with other Computer Science Teachers and staff.
- Support school academic goals and exam preparation.
Requirements:
- QTS or QTLS certification.
- PGCE or equivalent qualification.
- Passion for teaching computer science.
- Strong communication and classroom management skills.
- NQTs are welcome to apply.
If you're a qualified Computer Science Teacher looking for a long-term role, apply today and Tom will be in contact!