Explore exciting computer vision jobs in 237 Computer Vision jobs in London
Computer Vision Engineer
London, London
Snap Inc.
Posted 6 days ago
Job Viewed
Job Description
Snap Inc ( is a technology company. We believe the camera presents the greatest opportunity to improve the way people live and communicate. Snap contributes to human progress by empowering people to express themselves, live in the moment, learn about the world, and have fun together. The Company's three core products are Snapchat ( , a visual messaging app that enhances your relationships with friends, family, and the world; Lens Studio ( , an augmented reality platform that powers AR across Snapchat and other services; and its AR glasses, Spectacles ( .
**The Spectacles team is pushing the boundaries of technology to bring people closer together in the real world. Our fifth-generation Spectacles, powered by Snap OS, showcase how standalone, see-through AR glasses make playing, learning, and working better together.**
**The Spectacles team is looking for a 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 (
**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 (
This advertiser has chosen not to accept applicants from your region.
0
Senior Deep Learning Engineer - Computer Vision
EC1A 1AA London, London
£85000 Annually
WhatJobs
Posted 5 days ago
Job Viewed
Job Description
Our client is seeking a highly skilled and experienced Senior Deep Learning Engineer specializing in Computer Vision to join their dynamic, fully remote team. This is a pivotal role where you will drive the development and implementation of cutting-edge computer vision algorithms and deep learning models that power innovative solutions. You will be responsible for the entire lifecycle of model development, from data acquisition and pre-processing to model training, evaluation, and deployment. The ideal candidate will possess a strong theoretical understanding of deep learning principles and a practical ability to apply them to complex computer vision tasks such as object detection, image segmentation, and facial recognition. Responsibilities include designing efficient deep learning architectures, optimising model performance, and working closely with software engineers to integrate AI models into real-world applications. A Master's or Ph.D. in Computer Science, Electrical Engineering, or a related quantitative field is required, along with a minimum of 5 years of hands-on experience in deep learning and computer vision. Proficiency in Python and deep learning frameworks like TensorFlow, PyTorch, or Keras is essential. Experience with cloud platforms (AWS, Azure, GCP) and MLOps practices is highly advantageous. You will be a critical thinker, a problem-solver, and a strong communicator, capable of collaborating effectively within a distributed team. This role offers the opportunity to work on challenging and impactful projects, contributing to the advancement of AI technology while enjoying the flexibility of remote work.
Responsibilities:
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.
This advertiser has chosen not to accept applicants from your region.
1
Lead Computer Vision Engineer
London, London
Addition+
Posted today
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.
This advertiser has chosen not to accept applicants from your region.
2
Staff Computer Vision Engineer
London, London
Addition+
Posted today
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.
This advertiser has chosen not to accept applicants from your region.
3
Staff Computer Vision Engineer
London, London
Addition+
Posted today
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.
This advertiser has chosen not to accept applicants from your region.
4
Lead Computer Vision Engineer
London, London
Addition+
Posted today
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.
This advertiser has chosen not to accept applicants from your region.
5
Staff Computer Vision Engineer
London, London
Addition+
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.
This advertiser has chosen not to accept applicants from your region.
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6
Lead Computer Vision Engineer
London, London
Addition+
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.
This advertiser has chosen not to accept applicants from your region.
7
Staff Computer Vision Engineer
London, London
Snap Inc.
Posted 6 days ago
Job Viewed
Job Description
Snap Inc ( is a technology company. We believe the camera presents the greatest opportunity to improve the way people live and communicate. Snap contributes to human progress by empowering people to express themselves, live in the moment, learn about the world, and have fun together. The Company's three core products are Snapchat ( , a visual messaging app that enhances your relationships with friends, family, and the world; Lens Studio ( , an augmented reality platform that powers AR across Snapchat and other services; and its AR glasses, Spectacles ( .
**The Spectacles team is pushing the boundaries of technology to bring people closer together in the real world. Our fifth-generation Spectacles, powered by Snap OS, showcase how standalone, see-through AR glasses make playing, learning, and working better together.**
**The Spectacles team is looking for a Machine Learning Engineer to join the AR team in London, UK!**
**In this role, you will be working on state of the art machine learning and computer vision technologies to straddle the boundaries between the real and the virtual world with the next generation of Snap's wearable computing devices.** **Working from our London office, you will be collaborating closely with other Spectacles software and hardware teams around the world.**
**What you'll do:**
+ **Develop and productise novel technologies for the next generation of wearable AR devices.**
+ **Explore and advance state-of-the-art machine learning and computer vision algorithms.**
+ **Develop and deploy machine learning models.**
+ **Work together with our cross-functional engineering and research teams in computer vision, machine learning and AR engineering.**
**Knowledge, Skills & Abilities:**
+ **Deep understanding of machine learning principles, solutions and frameworks to develop networks and models for computer vision tasks**
+ **Ability to understand, debug and improve existing code as well as develop new algorithms using advanced computer vision and machine learning techniques.**
+ **Strong communications and interpersonal skills.**
+ **A genuine passion for learning new things and helping colleagues improve.**
**Minimum Qualifications**
+ **Bachelor's Degree in a relevant technical field such as computer science or equivalent years of practical work experience**
+ **Extensive experience post-Bachelor's computer vision/machine learning experience; or Master's degree in a technical field + extensive experience of post-grad computer vision/machine learning experience; or PhD in a relevant technical field + 4 years of post-grad computer vision/machine learning experience**
+ **Experience in developing machine learning models for at least one of the following areas: geometric scene understanding, semantic scene reconstruction, neural scene representation, monocular depth estimation, visual localisation**
**Preferred Qualifications**
+ **Msc/PhD in related field (Computer Vision, Machine Learning)**
+ **Experience in integrating Machine Learning models into Augmented Reality solutions**
+ **Experience in neural network optimization (pruning, quantization, distillation) to deploy efficient models to resource-constrained devices.**
+ **Experience in geometric computer vision such as SLAM, VIO, Tracking, multi-view 3D reconstruction, Depth Estimation etc.**
+ **Experience with software development in C++**
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 (
**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.
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Computer Vision Tech Lead
London, London
Neurolabs
Posted 2 days ago
Job Viewed
Job Description
Help us build the future of real-time retail execution
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 Tech Lead 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.
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