Computer Vision Engineer

Posted 6 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 (
Staff Computer Vision Engineer
Posted 2 days ago
Job Viewed
Job Description
Location: London - Hybrid
We’re seeking a Staff Computer Vision Engineer to help scale our vision AI product into a high-performing, reliable, production-ready platform. You’ll contribute deep technical expertise, scientific rigor, and a strong product-focused perspective. This position is ideal for someone who thrives on tackling complex challenges, staying deeply engaged in the work, and influencing how a team collaborates and achieves success.
The role:
- Lead CV Model Development — Design, train, and optimise detection, recognition, segmentation, and tracking models, balancing accuracy, speed, and robustness for real-world retail environments. Enhance synthetic data pipelines to improve generalisation and domain adaptation.
- Advance Large Vision Models (LVM) — Improve performance, scalability, and adaptability of our in-house LVM for diverse retail use cases.
- Deliver Proven Solutions — Experiment rapidly using PyTorch, validate rigorously, and productionize what works. Contribute to benchmarking and ongoing improvements.
- Collaborate Across Teams — Work with Product, Infrastructure, and Customer teams to integrate models into workflows. Provide technical leadership aligned with business goals.
- Champion Data & MLOps — Maintain high data quality standards and develop scalable automation systems for seamless deployment and experimentation.
Requirements
- PhD (or equivalent) in Computer Vision, Machine Learning, or related field.
- Proven record deploying large-scale CV models in production.
- Strong Python skills with PyTorch or TensorFlow expertise.
- Deep understanding of modern CV architectures, especially LVMs and Transformers.
- Experience with multimodal data (images, video, text) and MLOps workflows.
- Hands-on, self-directed, evidence-driven, and collaborative, with excellent communication skills for both technical and non-technical audiences
This is an excellent opportunity for an experienced Staff Computer Vision Engineer to join a leading company that are driven towards success!
For further information on this Staff Computer Vision Engineer position, apply below!
We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
By applying you are confirming you are happy to be added to the Addition Solutions mailing list regarding future suitable positions. You can opt out of this at any time simply by contacting one of our consultants.
Lead Computer Vision Engineer
Posted 2 days ago
Job Viewed
Job Description
We are currently recruiting on behalf of a leading start-up business set for significant growth for the role of Lead Computer Vision Engineer . This is a rare opportunity to join an ambitious, fast-scaling company at a pivotal stage.
What you’ll be doing:
- Design, build, and deploy Large Vision Models (LVMs) to enhance customer experiences, improve workforce efficiency, and boost product performance.
- Collaborate with data engineers to gather, preprocess, and curate large visual datasets, ensuring robust and high-quality data pipelines.
- Optimise model architectures and tune hyper parameters to maximise throughput while maintaining computational efficiency.
- Work closely with software engineers, product managers, and platform engineers to deliver seamless computer vision solutions.
- Monitor deployed models by analysing performance metrics, troubleshooting issues, and implementing updates to maintain optimal results.
- Stay up to date with the latest machine learning and computer vision advancements, applying new techniques to strengthen solutions and drive innovation.
Main Skills/ Requirements:
- Master’s degree in Computer Science, Data Science, or a related field — or equivalent practical experience, with a strong focus on machine learning
- Over 5 years of experience deploying computer vision models in production environments
- Advanced proficiency in Python programming
- Hands-on experience with cloud platforms such as AWS or GCP, and familiarity with deployment tools like Docker and Kubernetes
- Solid understanding of computer vision techniques, including image classification, object detection, and segmentation
- Experience with Large Vision Models (LVMs) is highly desirable
- Proficient in SQL and skilled in working with large-scale datasets for data processing and manipulation
How you’ll be rewarded:
- Share Options
- Competitive Benefits
- Opportunity to join a leading start-up
This is an excellent opportunity for an experienced Lead Computer Vision Engineer to join a growing company, that are driven towards success!
For further information on this Lead Computer Vision Engineer position, apply below!
We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
By applying you are confirming you are happy to be added to the Addition Solutions mailing list regarding future suitable positions. You can opt out of this at any time simply by contacting one of our consultants.
Staff Computer Vision Engineer

Posted 6 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 Computer Vision Engineer - Robotics
Posted 2 days ago
Job Viewed
Job Description
I’m working with a top AI firm hiring Senior Software Engineers into their R&D team, building systems that push the limits of computer vision, deep learning, and autonomous vehicle/machinery. You’ll be joining brilliant minds from Tesla, Google DeepMind, NVIDIA and more.
Role: Senior Computer Vision Engineer - Robotics
Location: London (onsite)
Package: Negotiable + stock options
What you’ll be doing
- Training policies via representation learning, behaviour cloning & RL from data to deployment.
- Building pipelines that fuse vision, language, audio, proprioception & 3D data.
- Scaling distributed training + optimising models for real-time edge inference.
- Helping shape how intelligent systems learn and act in the real world.
What we’re looking for
- 3+ years developing deep learning systems with shipped models or published research.
- Hands-on with Vision Language Models, LLMs or generative models.
- Strong Python + PyTorch/JAX skills (debugging, profiling, shipping).
- Passion for bridging the gap between simulation and reality.
This is one of the most exciting and technically challenging roles I’ve see with the chance to make a real impact on how AI and autonomy move from research into the real world.
We’re especially keen on candidates with autonomous vehicle/machinery experience who are happy to be on-site in London.
Interested? Apply to be considered.
Senior Computer Vision / Multimodal Engineer
Posted today
Job Viewed
Job Description
We are seeking a Senior Computer Vision / Multimodal Engineer to design, train, and deploy advanced vision models for object detection, segmentation, tracking, and behavior analysis within real-world retail and mobility environments. You will play a key role in optimizing real-time performance for edge and cloud systems, developing robust inference pipelines, and pushing the boundaries of multimodal AI.
This is an exciting opportunity to work on cutting-edge visual AI that impacts real-world applications, collaborating with a highly skilled team of data scientists, engineers, and product experts.
Key Responsibilities
- Design, train, and deploy Computer Vision models for detection, segmentation, tracking, and behavior understanding.
- Optimize inference pipelines for real-time performance on edge devices (e.g., NVIDIA Jetson, Coral) and cloud infrastructure .
- Collaborate with data and product teams to define new use cases, prototype solutions, and take models from lab to production.
- Develop synthetic data generation pipelines and augmentation strategies to enhance robustness across lighting conditions, formats, and environments.
- Research and integrate state-of-the-art Vision Transformers (ViTs), Large Vision Models (LVMs), and Multimodal AI into production workflows.
- Work with CCTV and multi-camera systems for tracking, localization, and behavior analytics.
- Build proof-of-concept systems, perform real-world validation, and continuously improve accuracy and performance.
Requirements
- 5–7 years of experience in Computer Vision and Deep Learning with deployed production models.
- Strong proficiency in Python and PyTorch ; hands-on experience with OpenCV, TensorRT, ONNX, or Triton .
- Proven expertise in object detection/tracking models such as YOLO, Deep SORT, DINOv2 , or similar.
- Experience with real-time or low-latency processing , multi-threaded programming , and performance tuning .
- Experience deploying and optimizing models on edge devices (Jetson, Coral, etc.).
- Demonstrated passion for research, innovation, and emerging AI technologies .
- Experience in 3D modeling or video behavior analytics is a plus.
ONLY CANDIDATES WITH THE REQUIRED SKILLS AND EXPERIENCE SHOULD APPLY TO THIS JOB!
Senior AI Engineer - Computer Vision
Posted 16 days ago
Job Viewed
Job Description
Key Responsibilities:
- Design, develop, and implement advanced computer vision algorithms and deep learning models for image recognition, object detection, segmentation, and tracking.
- Utilize frameworks such as TensorFlow, PyTorch, and OpenCV to build and train robust vision systems.
- Process and analyze large datasets of images and videos to extract meaningful insights and improve model performance.
- Develop and maintain scalable AI pipelines for model training, evaluation, and deployment.
- Collaborate with cross-functional teams, including software engineers and product managers, to integrate AI solutions into products and services.
- Stay up-to-date with the latest research and advancements in computer vision and artificial intelligence.
- Optimize algorithms for real-time performance and efficiency on various hardware platforms.
- Troubleshoot and debug complex AI systems, identifying and resolving issues promptly.
- Contribute to the architecture and design of AI platforms and infrastructure.
- Mentor junior engineers and share knowledge within the team.
The ideal candidate will possess a Master's or Ph.D. in Computer Science, Electrical Engineering, or a related field, with a strong focus on computer vision and machine learning. A minimum of 5 years of professional experience in developing and deploying computer vision systems is required. Demonstrated expertise in deep learning architectures (CNNs, RNNs, Transformers) and their application to vision tasks is essential. Proficiency in Python and C++ is highly desirable. Experience with cloud platforms (AWS, Azure, GCP) and MLOps practices is a plus. Strong problem-solving skills, a creative mindset, and excellent communication abilities are crucial. As this is a fully remote position, you must be a self-starter, highly organized, and capable of managing your workload effectively without direct supervision. This is a phenomenal opportunity to push the boundaries of AI and computer vision, working on challenging projects with a talented, distributed team, all within a supportive remote environment.
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Senior Machine Learning Engineer (Computer Vision)
Posted 3 days ago
Job Viewed
Job Description
Responsibilities:
- Design, develop, and implement advanced computer vision models and algorithms.
- Conduct research on state-of-the-art techniques in areas like object detection, image segmentation, facial recognition, and video analysis.
- Preprocess, clean, and augment large datasets for model training.
- Train, fine-tune, and evaluate deep learning models using frameworks like TensorFlow or PyTorch.
- Optimize model performance for efficiency, accuracy, and scalability.
- Collaborate with cross-functional teams to integrate ML models into product features and services.
- Develop and maintain robust ML pipelines and MLOps practices.
- Stay current with the latest advancements in computer vision and machine learning research.
- Mentor junior engineers and contribute to the team's technical growth.
- Document research, methodologies, and code thoroughly.
- MSc or PhD in Computer Science, Electrical Engineering, or a related field with a specialization in Machine Learning or Computer Vision.
- Minimum of 5 years of hands-on experience in developing and deploying ML models, with a strong focus on computer vision.
- Proficiency in Python and deep learning frameworks (TensorFlow, PyTorch).
- Solid understanding of computer vision fundamentals and algorithms.
- Experience with cloud platforms (AWS, Azure, GCP) and MLOps tools.
- Strong analytical and problem-solving skills.
- Excellent communication and teamwork abilities.
- Experience with CUDA and GPU programming is a plus.
Senior Deep Learning Engineer - Computer Vision
Posted 5 days ago
Job Viewed
Job Description
Responsibilities:
- Develop, train, and deploy advanced deep learning models for computer vision applications.
- Design and implement novel deep learning architectures for tasks such as object detection, segmentation, and classification.
- Pre-process and manage large-scale image and video datasets.
- Optimise model performance, including accuracy, speed, and memory usage.
- Collaborate with software engineers to integrate computer vision models into production systems.
- Stay current with the latest research and advancements in deep learning and computer vision.
- Conduct thorough experimentation and analysis to validate model effectiveness.
- Troubleshoot and debug complex issues in model training and inference.
- Contribute to the MLOps pipeline for efficient model deployment and monitoring.
- Document research, development processes, and model architectures.
Senior Machine Learning Engineer - Computer Vision
Posted 18 days ago
Job Viewed
Job Description
Responsibilities:
- Design, develop, and implement state-of-the-art machine learning models for computer vision applications.
- Conduct research and experimentation to explore new algorithms and techniques.
- Train, evaluate, and optimize deep learning models using relevant datasets.
- Collaborate with cross-functional teams to integrate AI solutions into products and services.
- Develop and maintain robust data pipelines for model training and inference.
- Stay current with the latest research trends and advancements in AI and computer vision.
- Contribute to the MLOps lifecycle, including deployment, monitoring, and maintenance of models.
- Mentor junior engineers and share knowledge within the team.
- Document research findings, model architectures, and implementation details.
- Present technical findings to both technical and non-technical audiences.
- Ph.D. or Master's degree in Computer Science, AI, Machine Learning, or a related field.
- 5+ years of experience in machine learning, with a specialization in computer vision.
- Proficiency in Python and deep learning frameworks such as TensorFlow, PyTorch, or Keras.
- Strong understanding of image processing, convolutional neural networks (CNNs), and other computer vision techniques.
- Experience with cloud computing platforms (AWS, Azure, GCP).
- Familiarity with MLOps principles and tools.
- Excellent problem-solving and analytical skills.
- Strong communication and collaboration abilities.