148 Computer Vision Scientist jobs in London

• Lead and conduct cutting-edge research in computer vision, focusing on areas such as object detection, image segmentation, facial recognition, and generative models.
• Develop and implement novel deep learning models and algorithms for complex vision tasks.
• Design and execute research experiments, analyse results, and contribute to scientific publications and patents.
• Collaborate with engineering teams to translate research prototypes into production-ready AI systems.
• Mentor junior researchers and guide their technical development.
• Stay abreast of the latest advancements in AI, machine learning, and computer vision through literature review and conference participation.
• Evaluate and benchmark new techniques and technologies.
• Present research findings internally and at international conferences.
• Contribute to the strategic direction of AI research within the company.
• Ensure the ethical and responsible development of AI technologies.

• PhD in Computer Science, Artificial Intelligence, Machine Learning, or a related field with a specialization in Computer Vision.
• Minimum of 6 years of post-doctoral research experience in computer vision and deep learning.
• Strong publication record in top-tier AI/ML/CV conferences and journals (e.g., CVPR, ICCV, ECCV, NeurIPS, ICML).
• Proficiency in programming languages such as Python, and deep learning frameworks like TensorFlow, PyTorch.
• Expertise in various computer vision techniques, including image processing, object detection, tracking, 3D vision, and generative AI.
• Experience with large-scale datasets and distributed training.
• Excellent analytical, problem-solving, and critical thinking skills.
• Strong communication and presentation skills, with the ability to articulate complex research concepts clearly.
• Leadership experience or demonstrated ability to lead research initiatives.

Position Overview:

We are looking for Applied Scientist II to play a key part in the design and deployment of cutting-edge AI-powered digital identity solutions. Join our team and collaborate with world class engineers, data scientists, and researchers to shape the future of secure authentication.

What you will be doing:

• Participate in hands-on machine learning research and deliver the results of the research in the form of new products.
• Communicate your results to the Science team, Engineering and Product teams
• Participate in the machine learning life of the team (reading groups, etc.)
• Learn best machine learning practices from a team of senior applied scientists

Essential Skills:

• Formal training in machine learning and computer vision
• Coding experience in python
• Experience working with at least one deep learning framework (pytorch or tensorflow)
• A strong willingness to learn
• Highly collaborative mindset
• A strong interest for a product-centric organization

Desirable Skills:

• Working knowledge of cloud computing (preferably AWS) and tools and technologies such as docker and git

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

• Lead and mentor a team of AI/ML engineers and researchers focused on computer vision applications.
• Design, develop, and implement state-of-the-art deep learning models for tasks such as object detection, segmentation, image recognition, and generative adversarial networks (GANs).
• Conduct in-depth research into novel algorithms and techniques in computer vision and machine learning.
• Publish findings in top-tier academic conferences and journals.
• Collaborate closely with product development teams to integrate research advancements into commercial products.
• Develop and maintain robust, scalable ML pipelines for training and deployment.
• Analyze and interpret large datasets to extract meaningful insights and inform model development.
• Stay abreast of the latest advancements in AI, machine learning, and computer vision research.
• Present research findings and project updates to both technical and non-technical stakeholders.
• Contribute to the strategic direction of the AI research roadmap.
• Ensure the ethical and responsible development and deployment of AI technologies.
• Manage research projects from conception through to successful implementation.

• Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
• Proven track record of significant contributions to computer vision research, evidenced by publications and/or patents.
• Expertise in deep learning frameworks such as TensorFlow, PyTorch, or Keras.
• Strong programming skills in Python and proficiency with relevant libraries (e.g., OpenCV, NumPy, SciPy).
• Experience with large-scale data processing and distributed computing environments.
• Demonstrated leadership and team management experience.
• Excellent analytical, problem-solving, and critical thinking skills.
• Superb communication and presentation abilities.
• Familiarity with cloud platforms (AWS, Azure, GCP) is a plus.
• Experience with transformer models and attention mechanisms is highly desirable.

• Lead research projects focused on advancing the state-of-the-art in computer vision, including object detection, image segmentation, facial recognition, and 3D reconstruction.
• Design, develop, and implement novel deep learning models and algorithms for vision tasks.
• Conduct rigorous experimentation, evaluation, and analysis of research outcomes.
• Mentor and guide junior research scientists, fostering a collaborative and innovative research environment.
• Translate research findings into practical applications and product features.
• Publish research findings in top-tier conferences and journals.
• Collaborate with engineering teams to integrate research prototypes into production systems.
• Stay abreast of the latest advancements in AI, machine learning, and computer vision.
• Contribute to the strategic direction of the AI research roadmap.
• Present research progress and findings to internal stakeholders and external audiences.

• Ph.D. in Computer Science, Machine Learning, Artificial Intelligence, or a closely related field, with a strong focus on Computer Vision.
• A minimum of 7 years of post-doctoral or industry research experience in AI/ML, with a proven track record of impactful research.
• Extensive experience with deep learning frameworks such as TensorFlow, PyTorch, or Keras.
• Strong theoretical understanding and practical experience in areas like Convolutional Neural Networks (CNNs), Transformers for Vision, Generative Adversarial Networks (GANs), and Reinforcement Learning.
• Excellent programming skills in Python and proficiency with relevant libraries (e.g., OpenCV, NumPy, SciPy).
• Proven ability to lead research projects and mentor junior team members.
• Strong publication record in top AI/ML and Computer Vision conferences/journals (e.g., CVPR, ICCV, ECCV, NeurIPS, ICML).
• Excellent analytical, problem-solving, and critical thinking skills.
• Outstanding communication and presentation skills.

Senior AI Software Engineer

London

£90,000-£130,000

I’m partnering with a dynamic AI consultancy that embeds itself within client businesses, listening closely, then building bespoke agentic AI solutions that automate processes, improve speed, and enhance decision-making.

Role Responsibilities

As a Senior AI Applied Engineer, you will:

• Build & Deploy AI-Driven Software Solutions
• You’ll blend software engineering and AI expertise to develop scalable, production-grade systems leveraging generative AI and agentic automation.
• Own Project-Based Work Across Diverse Domains
• You’ll tackle varied engagements, ranging in length and complexity, and support multiple clients.
• Ensure Scalable and Reliable Deployment
• Your role includes end-to-end responsibility for deploying AI solutions that are robust, maintainable, and optimized for performance at scale.
• Act as a Strong Team Contributor and Communicator
• While you won’t lead client engagements, you’ll work closely with clients and internal teams, translating client needs into technical solutions, requiring strong communication and stakeholder-facing capabilities.
• Leverage Generative AI Expertise
• Utilise your hands-on experience with generative AI tools or workflows, prompt engineering, LLM integration, or similar, but the emphasis is on engineering implementation and delivery.

Who We're Looking For

Essential Qualifications & Experience

• Strong software engineering background with deep experience deploying scalable systems
• At least some commercial experience using Generative AI exposure (e.g., LLMs, agentic interfaces, prompt engineering) but primarily strong engineering fluency
• Comfortable with project-based, delivery-focused work, even if no prior consultancy experience
• Confident in client-facing situations and able to collaborate effectively with non-technical stakeholders
• Reliable, consistent work history; this is a long-term growth-focused opportunity within an expanding team

Ready to Apply?

If this resonates with your background and career path, let’s talk. Please share your CV highlighting your engineering experience and where generative AI has featured, especially in deployment or integration roles.