Explore exciting opportunities in the field of computer engineering. Computer engineers are in high demand, designing and developing computer systems and components. This field blends electrical engineering and computer science, offering diverse career paths. Job opportunities for computer engineers include roles in 4,515 Computer Engineer jobs in the United Kingdom
Computer Vision Engineer
Posted 1 day ago
Job Viewed
Job Description
Job Title: 3D Computer Vision Engineer
Location: London, UK (Hybrid Working)
Type: Permanent
Key Responsibilities:
Lead development of machine learning systems for digital human avatar generation using inverse rendering and Unity-based visualization.
Design and implement mesh and texture warping algorithms (energy-based methods, Thin Plate Splines).
Develop inverse rasterization systems and facial feature extraction algorithms using PyTorch.
Contribute to NeRF-based systems with GPU-optimized kernel development, screen space sampling, and integration techniques.
Lead animation retargeting projects for facial blend shapes using optimization (Active Set solver, Libigl) and Functional Maps.
Design Unity and Unreal Engine plugins for real-time physics, rendering, and visualization.
Develop modules for 3D reconstruction, mesh processing, and camera calibration using C++ and Python.
Implement reinforcement learning systems for animation synthesis and optimization-based cloth simulation.
Build OpenGL/Compute shaders and GPU kernels for performance-critical 3D applications.
Requirements:
Degree in Computer Science, Engineering, Mathematics, or related field, or equivalent experience in 3D graphics or ML systems.
Strong in C++/Python, 3D graphics pipelines, inverse rendering, and geometry processing.
Experience with GPU programming (OpenGL, CUDA, Vulkan), PyTorch/TensorFlow, and real-time engines (Unity/Unreal).
Solid grasp of optimization, linear algebra, computer vision, and numerical methods.
Skilled in multithreading, memory management, and profiling for high-performance applications.
If this sounds of interest, please apply here or reach out to
Computer Vision Engineer
Posted 1 day ago
Job Viewed
Job Description
Job Title: 3D Computer Vision Engineer
Location: London, UK (Hybrid Working)
Type: Permanent
Key Responsibilities:
Lead development of machine learning systems for digital human avatar generation using inverse rendering and Unity-based visualization.
Design and implement mesh and texture warping algorithms (energy-based methods, Thin Plate Splines).
Develop inverse rasterization systems and facial feature extraction algorithms using PyTorch.
Contribute to NeRF-based systems with GPU-optimized kernel development, screen space sampling, and integration techniques.
Lead animation retargeting projects for facial blend shapes using optimization (Active Set solver, Libigl) and Functional Maps.
Design Unity and Unreal Engine plugins for real-time physics, rendering, and visualization.
Develop modules for 3D reconstruction, mesh processing, and camera calibration using C++ and Python.
Implement reinforcement learning systems for animation synthesis and optimization-based cloth simulation.
Build OpenGL/Compute shaders and GPU kernels for performance-critical 3D applications.
Requirements:
Degree in Computer Science, Engineering, Mathematics, or related field, or equivalent experience in 3D graphics or ML systems.
Strong in C++/Python, 3D graphics pipelines, inverse rendering, and geometry processing.
Experience with GPU programming (OpenGL, CUDA, Vulkan), PyTorch/TensorFlow, and real-time engines (Unity/Unreal).
Solid grasp of optimization, linear algebra, computer vision, and numerical methods.
Skilled in multithreading, memory management, and profiling for high-performance applications.
If this sounds of interest, please apply here or reach out to
Computer Vision Engineer
Posted 11 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 (
Lead Computer Vision Engineer
Posted 7 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.
Lead Computer Vision Engineer
Posted 7 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 11 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 (
Computer Vision Engineer - AI
Posted 1 day ago
Job Viewed
Job Description
The Computer Vision Engineer will play a crucial role in developing and implementing cutting-edge computer vision systems and algorithms. You will work on challenging projects that involve image processing, object detection, tracking, scene understanding, and other advanced vision tasks, contributing to the development of sophisticated AI-powered products.
Key Responsibilities:
- Designing, developing, and optimising computer vision algorithms and models using state-of-the-art techniques.
- Implementing and integrating vision systems into real-time applications and platforms.
- Working with large image and video datasets for training and evaluating models.
- Collaborating with AI researchers and software engineers to bring AI solutions to life.
- Performing quantitative analysis and benchmarking of vision system performance.
- Troubleshooting and debugging complex vision-related issues.
- Staying current with the latest research and developments in the field of computer vision and deep learning.
- Contributing to the documentation of algorithms, systems, and processes.
- Participating in code reviews and contributing to the overall quality of the codebase.
- Exploring and evaluating new technologies and tools relevant to computer vision.
Qualifications and Skills:
- Bachelor's or Master's degree in Computer Science, Engineering, or a related field with a focus on computer vision or machine learning.
- Proven experience in developing computer vision applications.
- Strong programming skills in languages such as Python or C++.
- Familiarity with computer vision libraries (e.g., OpenCV) and deep learning frameworks (e.g., TensorFlow, PyTorch).
- Understanding of image processing techniques, feature extraction, and object recognition.
- Experience with data annotation and management for vision projects.
- Ability to work effectively in a team environment and independently.
- Good problem-solving and analytical skills.
- Excellent communication skills, with the ability to articulate technical concepts clearly.
This is an excellent opportunity for a skilled engineer to contribute to groundbreaking AI projects in Sunderland and advance their career in a rapidly evolving field.
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Senior Computer Vision Engineer
Posted 19 days ago
Job Viewed
Job Description
Your responsibilities will include developing and optimizing deep learning models for computer vision tasks, conducting research into novel algorithms and techniques, and contributing to the entire ML lifecycle, from data preprocessing and model training to deployment and performance monitoring. You will collaborate closely with other AI researchers and software engineers, contributing to the development of robust and scalable vision systems. A key aspect of this role involves staying current with the latest advancements in computer vision research and applying them to solve real-world problems. You will also be involved in evaluating model performance, identifying areas for improvement, and implementing solutions to enhance accuracy, efficiency, and robustness.
The ideal candidate will possess a Master's or Ph.D. degree in Computer Science, Electrical Engineering, or a related field, with a strong specialization in computer vision and machine learning. You should have a minimum of 5 years of professional experience in developing and deploying computer vision systems. Proficiency in Python and deep learning frameworks such as TensorFlow, PyTorch, or Keras is essential. Experience with relevant libraries like OpenCV, scikit-image, and CUDA is highly desirable. Strong analytical and problem-solving skills, coupled with excellent communication abilities, are required for effective collaboration within a remote team. A portfolio showcasing previous computer vision projects and contributions to open-source projects is a significant plus.
Qualifications:
- Master's or Ph.D. in Computer Science, Engineering, or a related field with a focus on Computer Vision.
- 5+ years of experience in developing and deploying computer vision algorithms and systems.
- Expertise in deep learning frameworks (TensorFlow, PyTorch, Keras).
- Proficiency in Python and relevant libraries (OpenCV, NumPy, SciPy).
- Strong understanding of image processing, pattern recognition, and machine learning principles.
- Experience with cloud platforms (AWS, GCP, Azure) and MLOps practices is a plus.
- Excellent problem-solving, debugging, and research skills.
- Ability to thrive in a fully remote, collaborative work environment.
Senior Computer Vision Engineer
Posted 459 days ago
Job Viewed
Job Description
Office locations for this role include - Bristol, Burton, Warrington, Gloucester and Glasgow.
Salary range is £52,500pa - £4,500pa depending on experience.
Do you want to help us create a safe and secure world through the delivery of transformational and trusted autonomous technologies?
We seek to develop novel autonomous systems for a better world, working with the latest sensors, deploying our technology to advanced computing platforms and experimenting with novel vehicles.
Our team works closely with customers and users, ensuring we are solving real problems in a way that can be deployed in real situations. This means the systems we develop must be safe, reliable and trustworthy.
We are looking to grow our team with intelligent, talented and motivated people to continue to deliver transformational technology.
The role presents a unique opportunity to work on cutting edge technology and see your ideas deployed in the real world, becoming a key figurehead within our Engineering Area. We often work on projects which develop ideas into live system demonstrations in 12 months or less.
This rapid development cycle can only succeed with a team which has the skills and abilities to understand and solve unexpected challenges.
To achieve this, you will be:
- Researching and understanding the current state of the art to select the best set of technologies to apply to the problem.
- Developing and integrating the solutions to work in simulations and on physical platforms to characterise and develop performance.
- Working with customers and users to understand their needs and constraints, developing concepts and methods which could solve their problems.
- Supporting trials and demonstrations to customers and users.
Your role would focus on specifying, developing and delivering AI based technical solutions. You would be supported in taking a senior project role, which would likely involve capability development, client engagement, project and financial responsibility.
You would have the opportunity to keep developing your own technical and consultancy skills, but also to mentor and support more junior staff helping them reach their potential.
If you’re interested in joining our team, please submit your CV along with a short covering letter detailing why you feel you’d be a good fit for this role.
Requirements
This role would suit someone with solid technical experience looking to take the next step and move into a wider leadership role.
Our ideal team member would meet the following requirements:
- Experience specifying, developing, and deploying AI approaches to solve real-world problems.
- Strong experience in modern computer vision techniques
- Ability to communicate complex information to both technical and non-technical audiences.
- Skilled with common Python deep learning frameworks (e.g. TensorFlow and PyTorch)
- Experience in deploying to edge AI hardware
We’d love to hear if you have any other relevant experience, such as experience of geo spatial data processing, generative AI techniques, reinforcement learning, optimisation or non-visible sensing technologies.
Due to the nature of the work that Frazer-Nash Consultancy undertake, candidates will be required to undergo pre-employment screening and must be able to satisfy clearance criteria for UK National Security Vetting.
Benefits
- Happy To Talk Flexible Working
- Competitive salary: [£52,500 4,500]
- 25 days' holiday entitlement
- Holiday sale and purchase scheme
- Company pension scheme
- Targeted professional development
- Life assurance
- Private healthcare membership
- Bonus scheme linked into company performance
- Paid membership fees to a professional institution
- Support in attaining professional membership
- Cycle to work scheme
- Season rail ticket loan