128 Computer Vision jobs in the United Kingdom

Berlin | Vollzeit | Hybrides Arbeiten möglich

Wir suchen Dich – für den nächsten Schritt in der Welt der KI-gestützten Bildverarbeitung!

Du brennst für Machine Learning und Deep Learning? Dein Herz schlägt für innovative Anwendungen in Computer Vision und Bildanalyse? Dann komm in ein Team, das sich der Weiterentwicklung intelligenter Bildbearbeitungslösungen verschrieben hat!

Deine Aufgaben

Übernimm eine zentrale Rolle in unserem Innovationsteam und entwickle KI-gestützte Teilprozesse für Bilderkennung, Retusche und Bildoperationen weiter.

Konzipiere und implementiere Machine-Learning- und Deep-Learning-Modelle – insbesondere CNNs – mit Fokus auf Stabilität, Performance und Kundennutzen.

Nutze umfangreiche Datensätze aus bearbeiteten und unbearbeiteten Bildpaaren als Grundlage für Training und Optimierung deiner Modelle.

Bringe deine Ideen ein, teste neue Ansätze und entwickle Lösungen, die die Qualität und Effizienz unserer Services auf ein neues Level heben.

Voraussetzungen

Fundierte Erfahrung in Machine Learning und Deep Learning – idealerweise mit Schwerpunkt auf Convolutional Neural Networks (CNNs).

Kenntnisse in Computer Vision und Bildanalyse-Techniken (z. B. Filterung, Segmentierung, Merkmalsextraktion) sind ein starkes Plus.

Souveräner Umgang mit Frameworks und Libraries wie TensorFlow, PyTorch, Keras oder OpenCV.

Spaß an praxisnaher Entwicklung und dem kreativen Einsatz großer Bilddatenbestände.

Du sprichst fließend Deutsch oder Englisch.

Vorteile

Ein abwechslungsreiches Umfeld mit echten Gestaltungsmöglichkeiten und viel Raum für neue Ideen.

Flexible Arbeitszeiten, die Möglichkeit auf Homeoffice und ein Standort mitten in Berlin mit exzellenter Verkehrsanbindung – Jobticket-Zuschuss inklusive.

Moderne Tools, hochwertige Ausstattung und ein großartiges, kollegiales Team.

Kostenlose Snacks, Obst, Kaffee und regelmäßige Teamevents gehören für uns genauso dazu wie gezielte Unterstützung bei Seminaren und Fortbildungen.

Wir legen Wert auf eine offene, vertrauensvolle Arbeitsatmosphäre – niemand schaut dir über die Schulter, das Ergebnis zählt!

Klingt spannend? Wir freuen uns darauf, dich kennenzulernen! Bewirb dich einfach direkt über unser Online-Formular oder sende uns deine Unterlagen inklusive Starttermin und Gehaltsvorstellung.

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

**Join us at Entrust?**
At Entrust, we're shaping the future of identity centric security solutions. From our comprehensive portfolio of solutions to our flexible, global workplace, we empower careers, foster collaboration, and build solutions that help keep the world moving safely?
**Get to Know Us?**
Headquartered in Minnesota, Entrust is an industry leader in identity-centric security solutions, serving over 150 countries with cutting-edge, scalable technologies. But our secret weapon? Our people. It's the curiosity, dedication, and innovation that drive our success and help us anticipate the future?
**Join us at Entrust**
At Entrust, we're shaping the future of identity centric security solutions. From our From our comprehensive portfolio of solutions to our flexible, global workplace, we empower careers, foster collaboration, and build solutions that help keep the world moving safely
**Get to Know Us**
Headquartered in Minnesota, Entrust is an industry leader in identity-centric security solutions, serving over 150 countries with cutting-edge, scalable technologies. But our secret weapon? Our people. It's the curiosity, dedication, and innovation that drive our success and help us anticipate the future.
**About the Team**
You'll be joining the team leading Entrust's Identity portfolio, including the solutions formerly Onfido (AI-powered digital identity solution). With the completed acquisition, Entrust now provides the industry's most comprehensive portfolio of AI-powered, identity-centric security solutions.
Our technology helps businesses verify real identities using AI and biometrics, ensuring secure remote customer and business onboarding. By assessing government-issued IDs and facial biometrics with innovative dashboards and fraud signals, we provide companies with the assurance they need to operate securely while allowing people to access services quickly and safely.
**Position Overview:**
We are looking for **Applied Scientist II** to play a key role in the design and deployment of cutting-edge AI-powered digital identity solutions. Join our team and collaborate with engineers, data scientists, and researchers to shape the future of secure authentication.
**What you will be doing:**
+ Initiate, plan and drive projects that will bring the next generation of digital onboarding products to the real world that can withstand the most aggressive and determined fraud attacks.
+ Design and build high performance end to end systems spanning all parts of the identity verification application from data acquisition, data processing, and post processing.
+ Mentor and work with junior scientists to research and deliver innovative technologies that utilize every bit of signal in the data.
+ Participate in hands-on machine learning research and deliver the results of the research in the form of new products.
+ Communicate technical vision and roadmap at multiple levels within the organisation and externally.
+ Publish research results in national and international conferences and scientific journals. Represent Entrust at national and international scientific conferences.
+ Contribute to filing patents.
**Essential Skills:**
+ Strong experience in machine learning and computer vision, including industry experience deploying ML models to production.
+ Track record of successfully delivering high performance ML-driven products.
+ Worked with customers to impactfully solve their problems.
+ Deep understanding of machine learning theory.
+ Strong coding skills in Python and hands on experience using at least one of the deep learning frameworks Tensorflow or PyTorch.
**Desirable Skills:**
+ Technical experience in uncertainty modelling, explainable machine learning techniques, out-of-distribution detection, life-long learning, and related fields.
+ Technical experience with signal processing and image processing techniques.
+ Working knowledge of cloud computing (preferably AWS) and tools and technologies such as Kubernetes, Docker, Git, etc.
**Where you will be:**
At Entrust, we have a distributed workforce. This role will be based as advertised on the job description. We have a hybrid model, and you can choose to work fully remote, or come to our offices! We let all our employees choose what's best for them.
**Where you will be:**
At Entrust, we have a distributed workforce. This role will be based as advertised on the job description. We have a hybrid model, and you can choose to work fully remote, or come to our offices! We let all our employees choose what's best for them.
**Benefits UK**
+ 25 days annual leave plus a day off for your Birthday.
+ Two paid volunteering days per year.*
+ Bupa Private Medical and Dental Insurance*
+ Pension with The People's Pension (employer contribution 4% of base salary)*
+ Generous paid parental leave
+ Life enrichment allowance of up to £80 per month to use for services including gym, yoga, fitness classes, massages, childcare, and therapy
+ Dedicated learning opportunities including using tools like Linkedin Learning with availability to use for learning resources such as books, coaches, conferences, courses, podcasts, and more
+ Our open and transparent culture is reflected in our "Better Together" motto and we bring this to life by meeting once a week for our global weekly roundup (OnThursday); holding quarterly team socials, and other company-wide social events
+ Expense up to £00 (or local equivalent) to purchase workstation setup equipment
+ The opportunity to become a member of Entrust's resource groups in order to learn different skills in our belonging groups
**Benefits France**
+ 25 days annual leave plus + RTT + 1 day off for your birthday
+ Two paid volunteering days per year*
+ Meal Vouchers provided by Swile. Onfido covers 50% and 50% is deducted from your payroll .
+ Health Insurance (Mutuelle) provided by ALAN
+ Disability & Life insurance (Prevoyance) provided by ALAN (3x Base Salary)
+ Commuter reimbursement up to 40 per month
+ Life enrichment allowance of up to 95 per month to use for services including gym, yoga, fitness classes, massages, childcare, and therapy
+ Dedicated learning opportunities including using tools like Linkedin Learning with availability to use for learning resources such as books, coaches, conferences, courses, podcasts, and more
+ Our open and transparent culture is reflected in our "Better Together" motto and we bring this to life by meeting once a week for our global weekly roundup (OnThursday); holding quarterly team socials, and other company-wide social events
+ Expense up to 00 (or local equivalent) to purchase workstation setup equipment
+ The opportunity to become a member of Entrust's resource groups in order to learn different skills in our belonging groups
At Entrust, we don't just offer jobs - we offer career journeys. Here is what you an expect when you join our team:
+ Career Growth: Whether you're a budding developer or a seasoned expert, we're invested in your professional journey. With learning-forward initiatives and exciting challenges, your growth is our priority.
+ Flexibility: Life is all about balance. Whether you're remote, hybrid, or on-site, we offer flexible options that fit your lifestyle.
+ Collaboration: Here, your voice matters. Our teams thrive on sharing ideas, brainstorming solutions, and working together to build a better tomorrow.
We believe in securing identities-but it doesn't stop there. At Entrust, we're passionate about valuing all identities. Our culture is built on diversity, inclusion, and respect. From unconscious bias training for our leaders to globagrl affinity groups that connect colleagues across the globe, we're creating a community where everyone is encouraged to be themselves.
**Ready to Make an Impact?**
If you're excited by the prospect of innovating, growing your career, and collaborating in a dynamic environment, Entrust is the place for you. Join us in making a difference. Let's build a more secure world-together.
**Apply today!**
For more information, visit ( . Follow us on, LinkedIn ( , Facebook ( , Instagram ( , and YouTube ( AGENCIES, NO RELOCATION**
**#LI-GR1**
**#ENT123**
At Entrust, we don't just offer jobs - we offer career journeys. Here is what you can expect when you join our team:?
+ Career Growth: Whether you're a budding developer or a seasoned expert, we're invested in your professional journey. With learning-forward initiatives and exciting challenges, your growth is our priority?
+ Flexibility: Life is all about balance. Whether you're remote, hybrid, or on-site, we offer flexible options that fit your lifestyle?
+ Collaboration: Here, your voice matters. Our teams thrive on sharing ideas, brainstorming solutions, and working together to build a better tomorrow?
We believe in securing identities-but it doesn't stop there. At Entrust, we're passionate about valuing all identities. Our culture is built on diversity, inclusion, and respect. From unconscious bias training for our leaders to global affinity groups that connect colleagues across the globe, we're creating a community where everyone is encouraged to be themselves?
**Ready to Make an Impact?**
If you're excited by the prospect of innovating, growing your career, and collaborating in a dynamic environment, Entrust is the place for you. Join us in making a difference. Let's build a more secure world-together?
**Apply today?**
For more information, visit ( ? Follow us on, LinkedIn ( , Facebook ( , Instagram ( , and YouTube ( US roles, or where applicable:_
**Entrust is an** **EEO/AA/Disabled/Veterans** **Employer**
_For Canadian roles, or where applicable:_
**Entrust values diversity and inclusion and we are committed to building a diverse workforce with wide perspectives and innovative ideas. We welcome applications from qualified individuals of all backgrounds, and we strive to provide an accessible experience for candidates of all abilities.**
_If you require an accommodation, contact_ _._
**Recruiter:**
Grace Rusingiza

Entrust is an innovative leader in identity-centric security solutions, providing an integrated platform of scalable, AI-enabled security offerings. We enable organizations to safeguard their operations, evolve without compromise, and protect their interactions in an interconnected world - so they can transform their businesses with confidence. Entrust supports customers in 150+ countries and works with a global partner network, we are trusted by the world most trusted organizations.

**Summary:**
Meta Reality Labs Research (RL Research) brings together a world-class R&D team of researchers, developers, and engineers with the shared goal of developing AI and AR/VR technology across the spectrum. The Surreal Spatial AI group is seeking high-performing research scientists to build machine perception technology allowing AI agents and systems to perceive and understand the 3D world around them.The aim of this role is to develop, advance and integrate ML and computer vision models and SW systems for advanced, full-stack, real-time, Machine Perception and AI prototypes for egocentric devices such as Meta's Project Aria; Including 3D environment and object reconstruction, semantic understanding, estimation and understanding of user motion, actions and activities.
**Required Skills:**
Research Engineer, ML, AI & Computer Vision Responsibilities:
1. Implement and prototype advanced research systems and technologies spanning device and cloud, in the domain of AI and machine perception
2. Collaborate with team members throughout the lifetime of a project, from early research through technology and experience prototyping
3. Play a critical role in the definition and execution of system research roadmaps in partnership and cross functional organizations in computer vision, machine learning, graphics, sensors, optics and silicon
4. Collaborate with cross-functional engineering and research teams from Reality Labs and FAIR in computer vision, machine learning, and graphics
**Minimum Qualifications:**
Minimum Qualifications:
5. MSc or PhD degree in Computer Science, Computer Vision, Robotics or a related technical field
6. Experience developing and designing Computer Vision and Perception for Robotics or smart device technologies and systems
7. 5+ years of experience with a mastery of modern features in C++
8. Experience working in a Unix environment
9. Interpersonal experience: cross-group and cross-functional collaboration
**Preferred Qualifications:**
Preferred Qualifications:
10. Demonstrated software engineer experience via an internship, work experience, coding competitions, or widely used contributions in open source repositories (e.g. GitHub.)
11. Industry experience working on projects such as: real-time SLAM and 3D reconstruction, scene understanding, robotics and agentic AI systems including autonomous driving
12. Broad experience with distributed systems, cloud services, or on-device algorithm development
13. 3+ years of industry or postdoctoral experience as full-stack software engineer.
**Industry:** Internet

**Summary:**
Meta Reality Labs Research (RL Research) brings together a world-class R&D team of researchers, developers, and engineers with the shared goal of developing AI and AR/VR technology across the spectrum. The Surreal Spatial AI group is seeking high-performing research engineers to build machine perception technology allowing AI agents and systems to perceive and understand the 3D world around them.The aim of this role is to develop, advance and integrate ML and computer vision models and SW systems for advanced, full-stack, real-time, Machine Perception and AI prototypes for egocentric devices such as Meta's Project Aria; Including 3D environment and object reconstruction, semantic understanding as well as estimation and understanding of user motion, actions and activities.
**Required Skills:**
Research Engineer, ML, AI & Computer Vision Responsibilities:
1. Implement and prototype advanced research systems and technologies spanning device and cloud, in the domain of AI and machine perception
2. Collaborate with team members throughout the lifetime of a project, from early research through technology and experience prototyping
3. Play a critical role in the definition and execution of system research roadmaps in partnership and cross functional organizations in computer vision, machine learning, graphics, sensors, optics and silicon
4. Collaborate with cross-functional engineering and research teams from Reality Labs and FAIR in computer vision, machine learning, and graphics
**Minimum Qualifications:**
Minimum Qualifications:
5. Bachelor's degree in Computer Science, Computer Vision, Robotics or a related technical field
6. Experience in one or more of the following areas: Deep Learning, Computer Vision, AR/VR, 3D Vision, Robotics, Machine Learning or artificial intelligence
7. Experience developing computer vision algorithms or computer vision infrastructure in C/C++ or Python
**Preferred Qualifications:**
Preferred Qualifications:
8. Experience with distributed systems or on-device algorithm development
9. Industry experience working on projects such as: real-time Simultaneous Localization and Mapping and 3D reconstruction, sensor fusion and active depth sensing, object and body tracking and pose estimation, and/or image processing.
10. Experience in deep learning and PyTorch
11. MSc or PhD degree in Computer Science, Computer Vision, Machine Learning, Robotics or related technical field.
**Industry:** Internet

**Summary:**
The Reality Labs organisation at Meta is helping more people around the world come together and connect through world-class Augmented and Virtual reality (AR/VR) products. With global departments dedicated to research and development, AR/VR is committed to driving the state of the art forward through relentless innovation. The potential to change the world is immense - and we're just getting started.We are looking for an experienced leader to manage and continue to build a world-class computer vision and generative AI team dedicated to advancing the state-of-the-art of human-centric generative models, including multimodal talking heads, human video generation, AI-driven avatars, and the modelling of conversational and interactive mannerism. You will be responsible for recruiting, career growth, organisational health, guiding overall direction, and supporting multiple teams and projects working in a fast-paced multidisciplinary environment.
**Required Skills:**
Research Scientist Manager, Computer Vision & GenAI Responsibilities:
1. Build, lead, mentor, inspire, and enable a world-class CV and GenAI team
2. Work with leadership, researchers, and cross-functional teams to develop and pursue a vision for human-centric GenAI
3. Enable a team to research and develop advanced computer vision and GenAI technologies, including multimodal talking heads, human video generation, AI-driven avatars, and the modelling of conversational mannerism
4. Explore the problem and solution space through creating proofs of experience and getting feedback from user research
5. Establish a research/incubation/productisation roadmap and strategy
6. Collaborate and work across teams to develop concepts that advance the entire product pipeline (hardware, software, data collection, machine learning, etc.)
**Minimum Qualifications:**
Minimum Qualifications:
7. PhD in Computer Science or related field
8. Experience in computer vision, generative AI, computer graphics, or human-computer interaction research
9. Experience of building and managing high-performance teams in multi-disciplinary global organisations at the intersection of research and product
10. Technical knowledge in machine learning and optimisation
**Preferred Qualifications:**
Preferred Qualifications:
11. Research experience in facial analysis, affective computing, and face & body generation and animation.
12. Subject matter expertise demonstrated through publications, patents, and shipped products.
13. Experience leading a team that transferred technology from research in computer vision and GenAI into a shipping product.
14. Experience as lead investigator for which results were achieved or established
15. Experience managing joint hardware-software development and associated rapid prototyping
16. Experience leading an organization at various levels ranging from interns to principal research scientists.
**Industry:** Internet

This is a remote position.

Skills Provision is actively searching for a Support Engineer.

The employing business is a growing AI entity that creates deep learning solutions for organisations globally.

In this hybrid role, the successful applicant will work with clients from pre-sales to post-implementation, offering specialist support. Blending this with sales, engineering, and customer success in a fast-paced environment.

Due to working patterns, this role requires individuals who can work under European and American time zone constraints.

Sector: IT

Location: Remote

Length of contract: Permanent 

Salary and Package

$4000-$5000 per month

The Role

This position is well suited to someone with an enthusiasm for customer engagement and technical innovation.

Duties include, but are not limited to:

Technical sales support: understanding the client’s needs for computer vision applications and explaining technical aspects during the sales process. Field application engineering: engage with customers directly to understand their challenges. Production Knowledge: offering specialised training for customers and supporting them with documentation, e.g., troubleshooting guidelines. Customer relationship management: efficiently communicate and maintain strong relationships with clients. Collaboration: work with other teams to relay client feedback and insights to improve functionality and experience. Requirements A minimum of 5 years of experience Basic experience in computer vision and machine learning would be advantageous Knowledge of network configurations and protocols, including troubleshooting Well-versed in cross-platform OS configuration, including Windows and Linux Experience using remote support software tools Log file inspection and analysis experience Basic scripting skills for automating routine tasks Problem solver Collaborative approach Professional English language skills are required (verbal and written) Benefits Personal days Flexible working Company retreats Stock options Skills Provision is an ethical international recruitment agency, as such our adverts do not discriminate with regards to age, race, gender, colour, creed, religion, sexual orientation, disability and nationality.

An exciting opportunity has arisen for a Researcher in Computer Vision and Machine Learning to join a world-class AI research centre based in Cambridge.

This permanent, full-time role is ideal for an ambitious researcher with a strong background in Computer Vision and Deep Learning who is looking to work on cutting-edge problems at the intersection of Vision and Language. As part of the Future Interaction Research Programme, you'll have the chance to publish at top-tier conferences and shape the future of human-centric AI technologies.

Key Responsibilities for a Researcher in Computer Vision and Machine Learning based in Cambridge:

• Conduct innovative, hands-on research in Computer Vision, Deep Learning, and Vision & Language.
• Publish research findings at top international conferences (CVPR, ICCV, ECCV, ICLR, NeurIPS, ICML, ACL, etc.).
• Drive conceptual and methodological innovation, contributing to the centre's long-term research goals.
• Collaborate with product and engineering teams to support the transfer of advanced research into commercial applications.

Areas of Interest Include:

• Contrastively trained and auto-regressive Vision & Language models (e.G. CLIP, BLIP)
• Visual LLMs (e.G. LLaVA)
• Generative models (e.G. Stable Diffusion, auto-regressive models)
• Efficient architectures for deployment
• Model compression (quantization, distillation)
• Efficient adaptation of large models

What We're Looking For:

• Proven research experience in Computer Vision and/or Machine Learning
• Strong knowledge of deep learning frameworks (e.G. PyTorch)
• A track record of publication in leading conferences/journals (CVPR, NeurIPS, ICML, etc.)
• Excellent communication and collaboration skills
• Experience with Vision and Language models or related areas is advantageous

This is a permanent, full-time position for a Researcher in Computer Vision and Machine Learning based in Cambridge, UK. If you are passionate about pushing the boundaries of AI and want to work in a stimulating and impactful environment, we would love to hear from you.

APPLY NOW to join an elite research team working on the frontier of artificial intelligence.

Send your CV to (url removed) or call Rachael on (phone number removed).