46,399 IT Engineer jobs in the United Kingdom

Computer Vision Engineer

London, London Snap Inc.

Posted 5 days ago

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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 (
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Computer Vision Engineer

London, London Ultralytics

Posted today

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Who We Are At Ultralytics , we relentlessly drive innovation in AI, building the world's leading YOLO models . We're looking for passionate individuals obsessed with AI, eager to make a global impact, and ready to excel in a dynamic, high-energy environment. Join our team and help shape the future of Vision AI . Location and Legalities This full-time Computer Vision Engineer position is based onsite in our brand-new Ultralytics office in London, UK. Applicants must have legal authorization to work in the UK, as Ultralytics does not provide visa sponsorship. What You'll Do As a Computer Vision Engineer at Ultralytics, you will be at the forefront of developing and refining our world-class, open-source AI models . You will drive the entire lifecycle of our models, from research to real-world deployment. Key responsibilities include: Developing, training, and optimizing state-of-the-art computer vision models , with a primary focus on the Ultralytics YOLO ecosystem. Implementing advanced data augmentation and preprocessing techniques to improve model robustness on diverse datasets . Leading the full lifecycle of model development, from research and training to validation and performance benchmarking . Mastering model export to various formats such as ONNX , OpenVINO , and TensorRT to support a wide range of hardware. Working on model deployment strategies, including optimizing models for high-performance inference on both cloud and edge devices . Contributing to our CI/CD pipelines using GitHub Actions to ensure code quality, reliability, and automated testing. Collaborating with the team to push the boundaries of what's possible in object detection , segmentation , and other core computer vision tasks . Your strategic vision and technical expertise will be essential in supporting Ultralytics' mission of delivering top-tier machine learning tools and models like YOLO11 to the community. ️ Skills and Experience 5 years of hands-on experience in Computer Vision and Deep Learning . Expert-level proficiency in Python and deep expertise with PyTorch . Strong practical experience with OpenCV for image and video processing tasks. Proven experience in training, fine-tuning, and deploying object detection models, particularly within the YOLO family . Familiarity with model optimization techniques such as quantization and pruning, and deployment frameworks like TensorRT and OpenVINO . Experience with MLOps tools and practices, including version control (Git), Docker , and CI/CD with GitHub Actions . Excellent problem-solving skills and the ability to perform in a fast-paced, high-intensity environment. A strong portfolio of projects or contributions to open-source AI repositories . Cultural Fit - Intensity Required Ultralytics is a high-performance environment for world-class talent obsessed with achieving extraordinary results. We operate at a relentless pace, demanding exceptional dedication and an unwavering commitment to excellence, guided by our mission, vision, and values . Our team thrives on audacious goals and absolute ownership. This is not a conventional workplace. If your priority is predictable comfort or a standard work-life balance over the relentless pursuit of progress, Ultralytics is not for you. We seek driven individuals prepared for the profound personal investment required to make a defining contribution to the future of AI. Compensation and Benefits Competitive Salary: Highly competitive based on experience. Startup Equity: Participate directly in our company's growth and success. Hybrid Flexibility: 3 days per week in our brand-new office - 2 days remote. Generous Time Off: 24 days vacation, your birthday off, plus local holidays. Flexible Hours: Tailor your working hours to suit your productivity. Tech: Engage with cutting-edge AI projects and our Ultralytics HUB . Gear: Brand-new Apple MacBook and Apple Display provided. Team: Become part of a supportive and passionate team environment . If you are driven to redefine the capabilities of machine learning and eager to make a significant impact, Ultralytics offers an exceptional career opportunity.
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Computer Vision Engineer

London, London Ultralytics

Posted today

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Job Description

Who We Are At Ultralytics , we relentlessly drive innovation in AI, building the world's leading YOLO models . We're looking for passionate individuals obsessed with AI, eager to make a global impact, and ready to excel in a dynamic, high-energy environment. Join our team and help shape the future of Vision AI . Location and Legalities This full-time Computer Vision Engineer position is based onsite in our brand-new Ultralytics office in London, UK. Applicants must have legal authorization to work in the UK, as Ultralytics does not provide visa sponsorship. What You'll Do As a Computer Vision Engineer at Ultralytics, you will be at the forefront of developing and refining our world-class, open-source AI models . You will drive the entire lifecycle of our models, from research to real-world deployment. Key responsibilities include: Developing, training, and optimizing state-of-the-art computer vision models , with a primary focus on the Ultralytics YOLO ecosystem. Implementing advanced data augmentation and preprocessing techniques to improve model robustness on diverse datasets . Leading the full lifecycle of model development, from research and training to validation and performance benchmarking . Mastering model export to various formats such as ONNX , OpenVINO , and TensorRT to support a wide range of hardware. Working on model deployment strategies, including optimizing models for high-performance inference on both cloud and edge devices . Contributing to our CI/CD pipelines using GitHub Actions to ensure code quality, reliability, and automated testing. Collaborating with the team to push the boundaries of what's possible in object detection , segmentation , and other core computer vision tasks . Your strategic vision and technical expertise will be essential in supporting Ultralytics' mission of delivering top-tier machine learning tools and models like YOLO11 to the community. ️ Skills and Experience 5 years of hands-on experience in Computer Vision and Deep Learning . Expert-level proficiency in Python and deep expertise with PyTorch . Strong practical experience with OpenCV for image and video processing tasks. Proven experience in training, fine-tuning, and deploying object detection models, particularly within the YOLO family . Familiarity with model optimization techniques such as quantization and pruning, and deployment frameworks like TensorRT and OpenVINO . Experience with MLOps tools and practices, including version control (Git), Docker , and CI/CD with GitHub Actions . Excellent problem-solving skills and the ability to perform in a fast-paced, high-intensity environment. A strong portfolio of projects or contributions to open-source AI repositories . Cultural Fit - Intensity Required Ultralytics is a high-performance environment for world-class talent obsessed with achieving extraordinary results. We operate at a relentless pace, demanding exceptional dedication and an unwavering commitment to excellence, guided by our mission, vision, and values . Our team thrives on audacious goals and absolute ownership. This is not a conventional workplace. If your priority is predictable comfort or a standard work-life balance over the relentless pursuit of progress, Ultralytics is not for you. We seek driven individuals prepared for the profound personal investment required to make a defining contribution to the future of AI. Compensation and Benefits Competitive Salary: Highly competitive based on experience. Startup Equity: Participate directly in our company's growth and success. Hybrid Flexibility: 3 days per week in our brand-new office - 2 days remote. Generous Time Off: 24 days vacation, your birthday off, plus local holidays. Flexible Hours: Tailor your working hours to suit your productivity. Tech: Engage with cutting-edge AI projects and our Ultralytics HUB . Gear: Brand-new Apple MacBook and Apple Display provided. Team: Become part of a supportive and passionate team environment . If you are driven to redefine the capabilities of machine learning and eager to make a significant impact, Ultralytics offers an exceptional career opportunity.
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Computer Vision Engineer

London, London Ultralytics

Posted 2 days ago

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Job Description

Who We Are

At Ultralytics , we relentlessly drive innovation in AI, building the world's leading YOLO models . We're looking for passionate individuals obsessed with AI, eager to make a global impact, and ready to excel in a dynamic, high-energy environment. Join our team and help shape the future of Vision AI .


Location and Legalities

This full-time Computer Vision Engineer position is based onsite in our brand-new Ultralytics office in London, UK. Applicants must have legal authorization to work in the UK, as Ultralytics does not provide visa sponsorship.


This advertiser has chosen not to accept applicants from your region.

Computer Vision Engineer

Ultralytics

Posted 2 days ago

Job Viewed

Tap Again To Close

Job Description

Who We Are

At Ultralytics , we relentlessly drive innovation in AI, building the world's leading YOLO models . We're looking for passionate individuals obsessed with AI, eager to make a global impact, and ready to excel in a dynamic, high-energy environment. Join our team and help shape the future of Vision AI .


Location and Legalities

This full-time Computer Vision Engineer position is based onsite in our brand-new Ultralytics office in London, UK. Applicants must have legal authorization to work in the UK, as Ultralytics does not provide visa sponsorship.


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Computer Vision Engineer

TN2 3EF Tunbridge Wells, South East Gerrard White

Posted 10 days ago

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Job Description

permanent

Job Title: Computer Vision Engineer

About us:

VisionTrack is a multiple award winning IOT, high throughout / big data insurance telematics & video solution.

Role:

We are looking for developers with experience in computer vision applications to join one of our agile development teams. We try to avoid silos of knowledge so the role will involve working in all areas of the solution but with more emph.


WHJS1_UKTJ

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Computer Systems Engineer

London, London Treatment Studio

Posted today

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Job Description

Overview

Treatment Studio, an award-winning creative studio in Borough, London, is looking for a highly organised Computer Systems Engineer to join our team.nWe offer an exciting opportunity to support our fast-paced, multidisciplinary design and production practice, specialising in experiences for live music tours, festivals, art installations, experiential spaces, branding campaigns, and theatrical productions.nAbout the role

The ideal candidate will be good humoured, switched on and able to undertake a variety of office support tasks, with an attitude where nothing is too much trouble. This person will be comfortable working with a high degree of attention to detail and discretion as well as incorporating new and effective ways to achieve better results. The role requires an independent and thorough work ethic, with the ability to provide clear and concise communication and direction.nDay to day responsibilities

Responsible for all day-to-day hardware configuration and maintenancenResponsible for implementing operating system and select software roll-outs across hardwarenResponsible for Level 3 switch management and for documenting and organising all network topologynOrganising all hardware assets and operating system licensesnScheduled preventative maintenance on all systems including coordinating OS updates with IT ManagernWorking knowledge of how to manage hardware assets in a way that is non-disruptive to the work-flow of the studio and coordinates all system changes and updates with IT ManagernExtensive knowledge of computer hardware designs and builds including NAS/SAN architecture and network hardware topologynHave a solid understanding of power and cooling infrastructure for advanced computer systems and be able to consult with experts on those topics with fluiditynAbility to think strategically and forward plan for both wider studio and project by project hardware needsnFamiliarity with cyber security best practices and an understanding of common threats and vulnerabilities.nAn understanding or interest in working in the following programmes

UnrealnUnitynVFX SupervisionnProjection DesignnCode writing and developmentnVR creation and developmentnExperience with full Adobe suitenNice to have

Experience in Amazon Web Services (AWS), EC2, and PythonnUnderstanding of media servers and processes eg: Disguise (formerly D3) or Touch Designer and Notch workflowsnKeen interest in progressive platforms and enhancements in the video content creation and design fieldsnExperience setting up Virtual MachinesnExperience with Thinkbox Deadline 10nExperience with AWS and AWS Deadline Cloud (and other cloud renderers)nSchedule

This is a full-time, in-house role, and you'll be part of our Borough, London office. You will be required to work on-site Monday to Friday, and some occasional travel will be necessary.nAt Treatment Studio we are committed to create an inclusive environment where everyone feels respected and valued. We strongly encourage applicants from all backgrounds and identities to apply, particularly those from groups that are underrepresented in our industry. All applicants must have the right to work in the UK.

#J-18808-Ljbffrn
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Senior Computer Vision Engineer

EC1 London, London NonStop Consulting

Posted 4 days ago

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Job Description

full time
Computer Vision Engineer - Sports Analytics Innovation

Location: London, UK (Hybrid / Flexible)
Salary: 70,000 base + OTE up to 140k-200k in Year 1



About the Opportunity

We are working with a pioneering technology company at the forefront of sports analytics and artificial intelligence . This is a unique chance to apply your expertise in computer vision and machine learning to real-world challenges - building advanced systems for precise player and pitch detection and tracking during live sports events.

You'll be part of a collaborative, research-driven team where your work will directly influence how millions of fans, teams, and broadcasters experience sport.



Key Responsibilities

Design, implement, and optimize deep learning algorithms for image and video analysis
Develop and enhance computer vision pipelines using both classical methods (OpenCV) and modern techniques (CNNs, detection/segmentation heads)
Train, evaluate, and fine-tune models on large datasets, ensuring performance and accuracy in real-time systems
Curate and preprocess data to maximize training effectiveness
Deploy models into production environments and monitor their performance
Collaborate closely with engineers, data scientists, and product teams to deliver integrated solutions
Stay ahead of emerging trends in AI, CV, and ML, experimenting with innovative approaches



About You

We're looking for someone who thrives at the intersection of research and applied engineering . You enjoy solving complex problems and pushing models into production that have tangible, high-profile impact.

Essential experience:

Strong background in Computer Vision and image/video processing
Hands-on experience with OpenCV pipelines
Proficiency with deep learning frameworks (PyTorch, TensorFlow, Keras)
Knowledge of CNN architectures and training dynamics
Proven experience deploying and optimizing models for real-time applications
Strong data science and metrics literacy

Nice to have:

PhD or Master's in Computer Science, AI, or related field
Experience with sports data, tracking systems, or analytics platforms
Familiarity with cloud platforms (AWS, GCP) and containerization (Docker)



Why Apply?

Work on high-impact, real-world projects where your algorithms will be deployed in live sports environments
Join a team passionate about research, innovation, and continuous learning
Competitive salary 70k base with exceptional OTE (140k-200k Year 1)
Opportunity to make your mark in a fast-growing, cutting-edge technology sector

If you're excited by the idea of bringing Computer Vision innovation into live sports and want to be part of a team that's shaping the future of sports technology, we'd love to hear from you.

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Senior Computer Vision Engineer

London, London £65000 - £70000 Annually NonStop Consulting

Posted 4 days ago

Job Viewed

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Job Description

permanent
Computer Vision Engineer - Sports Analytics Innovation

Location: London, UK (Hybrid / Flexible)
Salary: 70,000 base + OTE up to 140k-200k in Year 1



About the Opportunity

We are working with a pioneering technology company at the forefront of sports analytics and artificial intelligence . This is a unique chance to apply your expertise in computer vision and machine learning to real-world challenges - building advanced systems for precise player and pitch detection and tracking during live sports events.

You'll be part of a collaborative, research-driven team where your work will directly influence how millions of fans, teams, and broadcasters experience sport.



Key Responsibilities

Design, implement, and optimize deep learning algorithms for image and video analysis
Develop and enhance computer vision pipelines using both classical methods (OpenCV) and modern techniques (CNNs, detection/segmentation heads)
Train, evaluate, and fine-tune models on large datasets, ensuring performance and accuracy in real-time systems
Curate and preprocess data to maximize training effectiveness
Deploy models into production environments and monitor their performance
Collaborate closely with engineers, data scientists, and product teams to deliver integrated solutions
Stay ahead of emerging trends in AI, CV, and ML, experimenting with innovative approaches



About You

We're looking for someone who thrives at the intersection of research and applied engineering . You enjoy solving complex problems and pushing models into production that have tangible, high-profile impact.

Essential experience:

Strong background in Computer Vision and image/video processing
Hands-on experience with OpenCV pipelines
Proficiency with deep learning frameworks (PyTorch, TensorFlow, Keras)
Knowledge of CNN architectures and training dynamics
Proven experience deploying and optimizing models for real-time applications
Strong data science and metrics literacy

Nice to have:

PhD or Master's in Computer Science, AI, or related field
Experience with sports data, tracking systems, or analytics platforms
Familiarity with cloud platforms (AWS, GCP) and containerization (Docker)



Why Apply?

Work on high-impact, real-world projects where your algorithms will be deployed in live sports environments
Join a team passionate about research, innovation, and continuous learning
Competitive salary 70k base with exceptional OTE (140k-200k Year 1)
Opportunity to make your mark in a fast-growing, cutting-edge technology sector

If you're excited by the idea of bringing Computer Vision innovation into live sports and want to be part of a team that's shaping the future of sports technology, we'd love to hear from you.

This advertiser has chosen not to accept applicants from your region.
 

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