1,760 Computer Vision Scientist jobs in the United Kingdom

We are looking for Senior Applied Scientist to lead 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:

• Provide technical leadership for a team of highly capable applied AI scientists, fostering a culture of creativity, technical depth and excellence.
• 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.

Benefits:

We're committed to making Entrust a fantastic place to work, so we go to great lengths to give you what you need to succeed. You’ll receive:

• 25 days annual leave plus a day off for your Birthday.
• Two paid volunteering days per year. *
• Bupa Private Medical and Dental Insurance*
• Life Assurance (3x Annual Base Salary) *
• Pension with The People’s Pension (employer contribution 4% of base salary) *
• Generous paid parental leave
• Free mental health coaching provided online
• 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 Learnerbly 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 £300 (or local equivalent) to purchase workstation setup equipment
• The opportunity to become a member of Entrust’s resource groups to learn different skills in our belonging groups

About Entrust

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.

For more information, visit . Follow us on, LinkedIn , Facebook , Instagram , and YouTube

NO AGENCIES, NO RELOCATION

We are looking for Senior Applied Scientist to lead 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:

• Provide technical leadership for a team of highly capable applied AI scientists, fostering a culture of creativity, technical depth and excellence.
• 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.

Benefits:

We're committed to making Entrust a fantastic place to work, so we go to great lengths to give you what you need to succeed. You’ll receive:

• 25 days annual leave plus a day off for your Birthday.
• Two paid volunteering days per year. *
• Bupa Private Medical and Dental Insurance*
• Life Assurance (3x Annual Base Salary) *
• Pension with The People’s Pension (employer contribution 4% of base salary) *
• Generous paid parental leave
• Free mental health coaching provided online
• 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 Learnerbly 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 £300 (or local equivalent) to purchase workstation setup equipment
• The opportunity to become a member of Entrust’s resource groups to learn different skills in our belonging groups

About Entrust

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.

For more information, visit . Follow us on, LinkedIn , Facebook , Instagram , and YouTube

NO AGENCIES, NO RELOCATION

• Conducting advanced research in computer vision, including areas such as object detection, image segmentation, facial recognition, and generative models.
• Designing, developing, and implementing state-of-the-art AI algorithms and deep learning models.
• Evaluating model performance, identifying limitations, and iterating on solutions to improve accuracy and efficiency.
• Collaborating with software engineers to integrate research prototypes into production systems.
• Staying abreast of the latest advancements in AI and computer vision literature and applying them to novel problems.
• Publishing research findings in leading academic conferences and journals.
• Mentoring junior researchers and contributing to a culture of scientific excellence.
• Developing and maintaining robust experimental frameworks and datasets.
• Presenting research outcomes to technical and non-technical audiences.

• Conduct fundamental and applied research in computer vision, machine learning, and deep learning.
• Develop and implement novel algorithms and models for image recognition, object detection, semantic segmentation, and video analysis.
• Design and execute experiments to evaluate model performance and identify areas for improvement.
• Collaborate with a team of world-class researchers and engineers to translate research findings into practical applications.
• Stay abreast of the latest advancements in AI, computer vision, and related fields through literature review and conference participation.
• Contribute to the publication of research findings in top-tier journals and conferences.
• Develop and maintain high-quality, well-documented code for research prototypes and production systems.
• Work on diverse datasets, addressing challenges related to data scarcity, bias, and annotation.
• Present research findings and project updates to technical and non-technical audiences.
• Contribute to the strategic direction of the AI research roadmap.

• PhD or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field with a specialization in Computer Vision.
• Demonstrated experience in developing and deploying deep learning models for computer vision tasks (e.g., CNNs, Transformers).
• Strong programming skills in Python and proficiency with deep learning frameworks such as TensorFlow, PyTorch, or Keras.
• Solid understanding of mathematical concepts underlying machine learning, including linear algebra, calculus, and probability.
• Experience with data augmentation, transfer learning, and other advanced training techniques.
• Excellent analytical and problem-solving abilities.
• Strong written and verbal communication skills.
• Ability to work independently and collaboratively in a fast-paced research environment.
• Experience with cloud computing platforms (AWS, Azure, GCP) is a plus.

• Conduct cutting-edge research in computer vision, machine learning, and deep learning to develop innovative AI solutions.
• Design, implement, and evaluate novel algorithms for image recognition, object detection, semantic segmentation, and video analysis.
• Develop and train deep neural networks using large-scale datasets.
• Stay abreast of the latest advancements in AI, computer vision, and machine learning literature, and identify opportunities for novel research.
• Publish research findings in top-tier academic conferences and journals.
• Collaborate with engineering teams to translate research prototypes into production-ready systems.
• Develop robust evaluation methodologies and performance metrics for AI models.
• Contribute to the intellectual property portfolio of the company through patents and internal innovations.
• Mentor junior researchers and interns, fostering a collaborative and intellectually stimulating environment.
• Effectively communicate complex research concepts to both technical and non-technical audiences.

• A PhD or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field with a specialization in Computer Vision.
• A minimum of 5 years of post-doctoral or industry research experience in computer vision and deep learning.
• Strong publication record in leading AI/CV conferences (e.g., CVPR, ICCV, ECCV, NeurIPS, ICML).
• Proficiency in programming languages such as Python, and deep learning frameworks like TensorFlow, PyTorch, or Keras.
• Experience with computer vision libraries such as OpenCV.
• Solid understanding of machine learning theory, statistical modeling, and algorithm development.
• Excellent analytical, problem-solving, and critical thinking skills.
• Strong communication, presentation, and collaboration skills.
• Ability to work independently and lead research initiatives.

• Conduct cutting-edge research in computer vision and deep learning.
• Develop and implement novel AI algorithms and models.
• Design and execute experiments to evaluate model performance.
• Analyze and interpret complex datasets.
• Publish research findings in leading AI conferences and journals.
• Collaborate with cross-functional teams to integrate AI solutions.
• Stay abreast of the latest advancements in AI and computer vision.
• Mentor junior researchers and contribute to team knowledge sharing.

• PhD or Master's degree in Computer Science, AI, Machine Learning, or a related field with a strong focus on Computer Vision.
• Demonstrated research experience with a strong publication record in top-tier venues.
• Expertise in deep learning frameworks (TensorFlow, PyTorch).
• Proficiency in Python and relevant scientific libraries (e.g., NumPy, SciPy, OpenCV).
• Solid understanding of image processing, pattern recognition, and machine learning principles.
• Excellent analytical, problem-solving, and critical thinking skills.
• Strong communication and presentation abilities.
• Ability to work effectively in a collaborative research environment.

• Conduct fundamental and applied research in computer vision, deep learning, and related AI fields.
• Design, develop, and implement advanced computer vision algorithms and models for tasks such as object detection, segmentation, tracking, and image recognition.
• Experiment with and evaluate various deep learning architectures (CNNs, Transformers, etc.) and frameworks (TensorFlow, PyTorch).
• Process and analyze large-scale image and video datasets, ensuring data quality and integrity.
• Collaborate with software engineers to integrate research prototypes into production systems.
• Publish research findings in top-tier AI conferences and journals.
• Stay abreast of the latest advancements in AI and computer vision through literature review and conference participation.
• Contribute to the intellectual property portfolio of the company through patent applications.
• Mentor junior researchers and interns, fostering a collaborative research environment.
• Present research progress and results to internal teams and external stakeholders.
• Work closely with product teams to understand user needs and translate them into research directions.

• Ph.D. in Computer Science, Artificial Intelligence, Electrical Engineering, or a related quantitative field with a strong focus on Computer Vision.
• Minimum of 4 years of post-doctoral or industry research experience in AI/ML, with demonstrable expertise in Computer Vision.
• Proven track record of publications in leading AI conferences (e.g., CVPR, ICCV, ECCV, NeurIPS, ICML).
• Deep understanding of machine learning theory and practical experience with deep learning frameworks (TensorFlow, PyTorch).
• Proficiency in programming languages such as Python, C++.
• Experience with large-scale data processing and cloud computing platforms (AWS, GCP, Azure).
• Strong analytical and problem-solving skills.
• Excellent written and verbal communication skills, capable of explaining complex technical concepts clearly.
• Ability to work independently and as part of a highly collaborative research team.
• Experience with generative models for images or video is a significant plus.

• Conducting cutting-edge research in computer vision, deep learning, and related AI fields.
• Designing, implementing, and evaluating novel algorithms for tasks such as object detection, segmentation, image recognition, and 3D reconstruction.
• Developing and training deep neural networks using frameworks like TensorFlow, PyTorch, or similar.
• Collaborating with engineers to integrate AI models into real-world products and systems.
• Publishing research findings in top-tier academic conferences and journals.
• Mentoring junior researchers and contributing to the intellectual property portfolio.
• Staying current with the latest research trends and advancements in AI and computer vision.
• Analyzing and interpreting experimental results to guide further research directions.
• Contributing to proposal writing and securing funding for new research initiatives.
• Ensuring the ethical considerations and potential biases in AI models are addressed.