What Computer Vision Engineers Jobs are in London?

About Niantic Spatial

At Niantic Spatial, we’re building the future of physical AI. Powered by a proprietary database of over 30 billion posed images, our groundbreaking mapping technology unlocks a new dimension of interaction and spatial intelligence that helps both humans and machines better understand, represent, navigate, and engage with the real environment.

Our reconstruction technology captures environments with geometric accuracy and extreme detail from any standard camera, and our Visual Positioning System delivers precise positioning almost anywhere in the world. We serve customers across robotics, the public sector, and energy and industrial markets — building for the 80% of economic activity that takes place beyond our screens.

We are looking for a Computer Vision Research Engineer to join our Research Team in London. Our team researches and builds the 3D reconstruction technology behind Niantic Spatial's platform. These pipelines turn casually captured or domain specific imagery into high-fidelity explorable 3D reconstructions. This entails anything from Structure-from-Motion through to 3D Gaussian Splatting and feed-forward models. Our team shipped 360 splatting to consumers and enterprise customers, developed the splatting tech that runs on phones, shipped multiple POCs to enterprise customers, and have innovated on countless AR technologies. Our team has published at top venues (CVPR, ICCV, ECCV, SIGGRAPH); more often than not, our papers end up in production. We're hiring a researcher to work at both ends of that pipeline. You will implement and iterate on the state-of-the-art for both academic publishing and production, regularly working on prototypes with a short turnaround into customer-facing production.

You will work alongside world‑class researchers in computer vision, machine learning, graphics, and robotics to develop new approaches for large-scale spatial understanding, localization, reconstruction, scene understanding, and geospatial foundation models.

• Conduct original research in computer vision, machine learning, and spatial AI.

• Design, implement, and evaluate novel algorithms for:

  • 3D reconstruction

  • Neural scene representations

  • 3D Gaussian Splatting

  • Geometric deep learning

  • Structure-from-Motion (SfM)

  • Feed-forward models

  • Spatial foundation models

• Collaborate with research scientists and engineers to transition promising ideas into future products.

• Develop large-scale experiments and benchmarking frameworks.

• Work directly with the realities of production with real capture conditions, real hardware constraints, and real customers.

• Publish research findings at leading conferences such as CVPR, ICCV, ECCV, or SIGGRAPH.

• PhD in Computer Vision, Robotics, Machine Learning, Computer Science, Mathematics, Physics, or a closely related field. Exceptionally strong candidates with equivalent experience in industry would be considered.

• A strong research track record in 3D computer vision: reconstruction, depth estimation, novel view synthesis, SfM, SLAM, or closely related areas.

• Strong publication record at top-tier conferences such as CVPR, ICCV, ECCV, SIGGRAPH, NeurIPS, etc.

• Strong programming skills in Python and experience in PyTorch.

• Evidence that you can carry an idea from research into something real; that may be a shipped feature, a production pipeline, a widely used open-source release, or similar.

• Ability to independently drive research projects from idea generation through experimentation and publication.

• Experience with classical reconstruction tooling (COLMAP etc).

• C++ or CUDA, and a feel for performance and on-device constraints.

£96,300 - £107,000 + bonus / equity / benefits

London, UK. Hybrid — at least 3 days per week in office. Niantic Spatial sponsors work visas for many roles. We can’t guarantee sponsorship for every role or every candidate, but if we make you an offer, we’ll make a reasonable effort to support your work authorization.

We know the strongest candidates don’t always tick every box. If you’re excited about this role and believe you could do it well, we encourage you to apply even if your experience doesn’t match every qualification listed — you may be exactly who we’re looking for.

Niantic Spatial is an equal opportunity employer. Individuals seeking employment at Niantic Spatial are considered without regard to race, color, ancestry, national origin, religion, creed, age, gender (including pregnancy, childbirth, breastfeeding or related medical conditions), marital status, physical or mental disability, medical condition, genetic information, military or veteran status, gender identity, gender expression, sexual orientation, or any other protected category under applicable laws. Niantic Spatial, will also consider qualified applicants with criminal histories in accordance with applicable laws. Please contact your recruiter if you want to request an accommodation for the job application or interview process.

I understand that by submitting my job application, the information I provide as part of that application will be used in accordance with Niantic Spatial’s Privacy Notice for Job Applicants and Candidates

My client is a fast-growing technology business doing genuinely impactful work, building platforms that make physical environments safer and more intelligent. They operate at the cutting edge of computer vision and real-time AI, and they are scaling quickly.

The team is high‑calibre, operates with autonomy and has a culture built on trust and candour. This is a business where the work matters and the people are given the space to do it well.

They are looking to bring on an ML Researcher to join the machine learning team in London. You will own research directions end-to-end, from problem formulation through to production deployment, working across a range of computer vision and deep learning disciplines.

The expectation is to publish at top venues and ship at scale. There is also real scope to shape the research roadmap and mentor junior researchers as the team grows.

• PhD, or Master's with equivalent research experience, in Computer Vision, Machine Learning or a related discipline
• Published work at leading conferences or journals is a strong plus
• Deep expertise across one or more computer vision or spatial AI research areas
• Strong Python and PyTorch skills, with the ability to write production-quality code
• Able to work independently, define technical direction and communicate findings clearly

• Hard problems with real-world impact
• Publish at top venues and deploy at scale
• High autonomy and direct influence over the research roadmap

Computer Vision Research Engineer (Biometric Platform) at iProov

Computer Vision Research Engineer

iProov provides science-based biometric solutions that enable the world’s most security-conscious organizations to streamline secure remote onboarding and authentication for digital and physical access. Our award-winning liveness technology and iSOC offer unmatched resilience against deepfakes and generative AI threats while ensuring effortless, scalable user experiences. Trusted by leading governments and enterprises, including the U.S. Department of Homeland Security, U.K. Home Office, GovTech Singapore, ING, and UBS, iProov sets the standard in biometric identity assurance.

This global trust is built not only on our technology but on the strength of the people behind it. For us, diversity at iProov is about reflecting the customers we serve, holding the principles of equality and inclusion at the heart of everything we do and all that we stand for, embracing differences, creating possibilities, and growing together. We aim to foster a culture where individuals of all backgrounds feel confident in bringing their whole selves to work, feel included, and their talents are nurtured, empowering them to contribute fully to our purpose.

The Role

Reports to: Head of Biometric Platform

Location: WeWork Waterloo - Hybrid

Comp: Negotiable (Base) + Company Performance Bonus (10%) + Share Options + UK iProov Benefits

iProov is looking for a Computer Vision Research Engineer to join our Biometric Platform team. You will be responsible for working on the biometric systems, developing new techniques and algorithms ensuring security and performance.

• Research and prototype new biometric systems - by testing and integrating existing technologies or by designing a new solution
• Improve upon existing biometric functionality, looking for opportunities to improve the accuracy, interpretability and speed of biometric systems
• Work with the Platform developers to produce production code
• Provide Guidance and collaborate on Cross functional projects
• Understand the impact of changes, ensuring the best outcomes for our customers and end-users

• Proficiency in Machine Learning
• Experience in Computer Vision
• Organised and driven
• Excellent communication with both technical and non-technical audiences
• Enjoys collaborating with cross-functional teams
• Python
• Docker/Github/Jira
• 25 days Annual Leave, plus 8 Bank Holidays (more holiday with service - up to an extra 5 days off per year based on your continuous service)
• Growth Shares allocated after passing probation (6 months of service)
• Salary sacrifice schemes including: Pension, Cycle To Work and Electric Car Scheme
• Nursery Sacrifice Scheme
• Work Overseas Perk - Work globally for up to 2 weeks
• Life Assurance
• SmartHealth - Access to private GP, Psychologist, Nutritionist along with tailored fitness plans for both you and your family
• Benefit from personalized 1:1 career coaching with our in-house Occupational Psychologist
• Award winning L&D platform with personal allocated training budgets
• Enhanced paid family leave
• Flexible hybrid working environment
• Free Barista Coffee/Tea, biscuits with fruit in the WeWork office
• Free access to WeWork discounts and free online well-being sessions
• Vitality Health - a range of options available on this below

The Vitality Programme includes a number of reward benefits that all employees have access to as part of the plan, for example:

• Private Health cover including Dental, Optical, and Audiology
• 50% off monthly gym memberships
• Apple watches significantly discounted based member vitality status
• Half price trainers with Runners Need
• Weekly rewards – Free coffee with Café Nero
• Monthly rewards – Free Cinema ticket
• Discounts on travel with Expedia (hotels) and Mr & Mrs Smith with discounts getting greater throughout the year based on a members vitality status
• Amazon prime free months based on activity
• Up to 25% cashback at Waitrose when buying healthy foods
• 75% off stays at Champneys Health Spas
• Allen Carr’s £299 no smoking programme for free
• Access to Vitality Healthy Mind with 30% off Headspace subscriptions and the ability to earn Vitality points for using Buddhify, Calm and Headspace
• Discounts on Weight Watchers

Our Culture & Recruitment Process

At iProov, we're incredibly proud of the culture we've carefully curated. Our culture enables diverse thought, curiosity and innovation. Our team strives to do everything to the highest standard possible to achieve the remarkable. To do that we need different perspectives, experiences and ideas alongside an environment where these are welcomed - we want everyone to feel confident in bringing their full capabilities to work. We firmly believe psychological safety is key to building and nurturing great teams. We’re a small and dynamic company, that means having the right skills is important, and we know that our best work emerges when people feel secure, welcomed and respected.

As an equal opportunities employer, we encourage applications from people of all backgrounds. We’re committed to building a workforce that is representative of the people we serve. We will not put someone at a disadvantage or treat them less favourably because of race, color, national origin, ancestry, age, disability, creed, religion or belief, sex, sexual orientation, gender reassignment, marriage or civil partnership, or pregnancy and maternity. Our goal is to find people who are passionate about creating a safer, more secure world.

Our recruitment process is designed to be fair and transparent, focusing solely on your qualifications, competence, and suitability for the role. We review all applications carefully and will be in touch with shortlisted candidates regarding the next steps in our interview process. If you need an adjustment for a disability or any other reason during the hiring process, please send a request to

Job Search Place Limited is looking for an experienced Machine Learning Engineer with expertise in computer vision to contribute to defense sector projects. The successful candidate will translate theoretical concepts into practical solutions, mentor junior team members, and provide guidance on technical project direction.

A minimum of 5 years of experience in the UK, proficiency in Python, and an active SC or DV clearance are essential.

iO Associates is seeking an experienced Machine Learning Engineer with a strong background in computer vision for their projects in the defence sector. You'll work on translating theoretical concepts into real-world solutions while mentoring junior team members and guiding the project's technical direction.

Applicants must have deep experience in computer vision, an active SC or DV clearance, and a minimum of 5 years of residency in the UK. Proficiency in Python and familiarity with relevant tools like PyTorch and OpenCV is essential.

Block MB, a fast-growing technology company based in London, is seeking an ML Researcher to join their machine learning team. The successful candidate will own research directions from inception to production, working on impactful projects in computer vision and deep learning.

Expect to publish at top venues while shaping the research roadmap and mentoring junior researchers. This role offers a high degree of autonomy and an opportunity to make a real difference in the field.

Platform Recruitment is seeking a Machine Learning Engineer specializing in Computer Vision. The role involves developing machine learning solutions for real-world environments. Ideal candidates will have a strong technical background and experience deploying models.

The successful applicant will be responsible for designing, training, and deploying computer vision models while working closely with engineers and data scientists. Offering a competitive salary up to £160,000 based on experience.