364 Facial Recognition jobs in the United Kingdom

• Developing and implementing deep learning models for computer vision tasks such as object detection, image segmentation, facial recognition, and video analysis.
• Training, fine-tuning, and optimizing neural networks using frameworks like TensorFlow, PyTorch, or Keras.
• Working with large-scale image and video datasets, including data preprocessing, augmentation, and annotation.
• Designing and implementing efficient data pipelines for model training and deployment.
• Evaluating model performance, identifying areas for improvement, and iterating on solutions.
• Collaborating with software engineers to integrate computer vision models into production environments and applications.
• Researching and applying the latest advancements in computer vision and deep learning research.
• Contributing to the architectural design of AI systems and solutions.
• Writing clean, well-documented, and maintainable code.
• Participating in code reviews and providing constructive feedback to peers.
• Staying updated with emerging technologies and best practices in AI and computer vision.

• Master's or PhD in Computer Science, Machine Learning, Artificial Intelligence, or a related field.
• Proven experience in developing and deploying computer vision models.
• Strong programming skills in Python.
• Proficiency with deep learning frameworks (TensorFlow, PyTorch, Keras).
• Solid understanding of computer vision algorithms and techniques (CNNs, RNNs, transformers).
• Experience with image processing libraries (e.g., OpenCV, Pillow).
• Familiarity with data augmentation techniques and model optimization.
• Experience with cloud platforms (AWS, Azure, GCP) for ML workloads is a plus.
• Excellent problem-solving and analytical skills.
• Strong communication and collaboration abilities, suitable for a remote work environment.
• Ability to work independently and manage project timelines effectively.

Who are we?

Hi!

We want you to #JOINTHEREBELLION!   

For 30 years we’ve been independently developing and publishing incredible video games at our multiple studios founded by Jason & Chris Kingsley, but Rebellion is more than just games. We have our own film studio, we create board games, publish books, and through 2000AD, publish comics and graphic novels such as the amazing Judge Dredd. 

We’re seeking a skilled and innovative Machine Learning Engineer to join our cutting-edge ML Team. You’ll be part of a small, highly collaborative group dedicated to pushing the boundaries of AI/ML technology in gaming.

This mid-level position is ideal for someone ready to take ownership of projects, mentor junior engineers, and deliver impactful solutions that help shape the future of our game products.

In this role, you’ll work closely with the Head of Machine Learning and our ML Engineers to create, design, develop, and optimise ML/DL systems that:

• Generate game levels and 3D worlds.

• Enhance our game products.
• Develop custom tools for our teams.
• Integrate ML and deep learning (DL) models into our production workflows and real-time gaming environments.

You’ll be hands-on from research through deployment, exploring state-of-the-art advancements, running experiments, refining algorithms, and ensuring scalable, high-performance solutions. You’ll work with complex datasets, including tabular, imagery, 3D point clouds, and proprietary game data.

This role is based at our riverside headquarters in Oxford, offering a creative and relaxed atmosphere where teamwork drives our success. We can provide a relocation package, including moving assistance, temporary accommodation, and full support to ensure a smooth transition to your new environment. 

We believe in the power of face-to-face collaboration and encourage working from our Oxford headquarters. However, we understand that flexibility matters, so we’re open to discussing hybrid options.

Key Responsibilities: 

• Implementation, and optimisation of ML algorithms and tools for game-level generation and enhancement.
• Collaborate with cross-disciplinary teams (art, design, code) to integrate ML models into real-time game workflows.
• Conduct and direct experiments to improve accuracy, performance, and scalability of ML/DL models.
• Manage and maintain ML systems, libraries, and pipelines, ensuring robust deployment into production.
• Analyse diverse datasets to inform model architecture and feature engineering.
• Stay current with state-of-the-art ML/DL research and evaluate new technologies for practical application.
• Mentor and guide junior ML engineers, sharing best practices and reviewing their work.
• Present technical findings, progress, and recommendations to stakeholders and leadership.

Requirements

• MSc in Computer Science, Mathematics, or a similar technical discipline; advanced certifications are a bonus. 

• Proficiency in Python and C++ with a proven track record of delivering robust, scalable ML systems.

• Professional experience as a Machine Learning Engineer or similar role, with expertise in machine learning algorithms and statistical methods. 

• Hands-on experience with supervised, unsupervised, semi-supervised, and reinforcement learning; 3D ML/DL exposure is highly desirable.

• Strong understanding of data structures, software architecture, and data modelling, with experience handling diverse datasets (tabular, computer vision, point cloud, game data).

• Proficient with ML frameworks (NumPy, OpenCV, scikit-learn, PyTorch/PyTorch3D, TensorFlow, Keras).

• Experience with CI/CD pipelines, version control (GitLab, Perforce), cloud platforms (preferably AWS) and scalable deployment workflows.

• Outstanding problem-solving and analytical capabilities, coupled with the ability to work autonomously and collaborate effectively with other disciplines.

Benefits

We offer an extensive benefits package to our team including:

• 22 days holidays + Christmas closure (typically 4 days) & Bank holidays (increasing with service at 5 years – one day each year until you reach 31 days)
• Private Medical Insurance, healthcare cash plan, including dental and Vision
• Life Assurance, Income Protection & Critical Illness Cover
• Enhanced Family Leave
• Interest Free, Tax-Free loans
• Enhanced Pension Scheme
• EAP a range of Mental Health and Wellbeing Support
• Plus loads more… including a wide range of discounts, freebies, and social events!

Right to Work Statement

This role is only open to applicants who have the permanent right to work in the UK. We are unable to provide or take over visa sponsorship, either now or in the future. Applicants must therefore be able to demonstrate their ongoing eligibility to work in the UK without the need for employer sponsorship.

Life at Our Oxford HQ

Our riverside headquarters in Oxford places you a short walk away from the city centre. Renowned for its rich historical backdrop and esteemed educational institutions, Oxford offers a unique blend of tradition and modernity, with its beautiful architecture and green spaces.

Oxford also boasts excellent transport links, making it easy to navigate both the city and the wider country. The city’s train station, just a short walk from our studio, offers frequent services to London, as well as direct routes to major cities like Birmingham, Manchester, and Reading and we also offer free parking at the studio.

Our open-plan office promotes teamwork and innovation, with regular interaction with senior management and other departments, alongside access to free hot drinks, a handy tuck shop onsite and a range of local pubs, cafes and dining options nearby helping make every workday enjoyable!

Inside Rebellion

Whichever team you join at Rebellion we are proud of our open, friendly, and creative atmosphere. We love what we do, and we have fun doing it! As a big indie developer, we have complete creative freedom over our titles which allows us to work on a massive variety of projects across all the major platforms.

Find out more about us here

Our size, stability, and the variety of in-house expertise across multiple industries, makes Rebellion completely unique! We work in our own way, and we celebrate that as the key to our success. We foster an inclusive culture where you are encouraged to be yourself, to express your creativity and your talent. We are people focused and will support you in every way to can be the best at what you do. We recognise the importance of enjoying what you do and having a healthy work-life balance. We offer a friendly, creative, and relaxed working atmosphere, with sensibly managed projects and a wide variety of benefits and development opportunities for all our teams to ensure you are fully supported with your physical and Mental Well-being.

We are actively recruiting for a diverse team and continue to add to our culture of growth and inclusion. Rebellion encourages innovation in all areas, and we look forward to hearing how you can help us to be better. We encourage all demographics of culture, gender, ethnicity, neurodiversity and beyond, because a representative team makes better products.

If you are interested in working at Rebellion, but this role doesn’t sound quite like you, we’re recruiting for a range of positions across the studio and we’re always happy to receive speculative applications via our website. Visit our Careers website to view all our live vacancies: Rebellion: Careers

#LI-Hybrid

• Lead the development and implementation of advanced computer vision models.
• Design, train, and optimize deep learning architectures for image and video analysis.
• Manage the end-to-end machine learning lifecycle, including data pipelines, training, and deployment.
• Develop and maintain MLOps infrastructure for efficient model management.
• Collaborate with product managers and cross-functional teams to define project requirements.
• Mentor and guide junior machine learning engineers.
• Stay abreast of the latest research and advancements in computer vision and deep learning.
• Ensure the scalability, robustness, and performance of deployed ML models.
• Contribute to the company's AI strategy and technology roadmap.

• Master's or PhD in Computer Science, AI, Machine Learning, or a related field.
• Minimum of 6 years of experience in Machine Learning, with at least 4 years in Computer Vision.
• Expertise in deep learning frameworks (TensorFlow, PyTorch) and computer vision libraries (OpenCV).
• Strong proficiency in Python and relevant ML libraries (e.g., scikit-learn, NumPy).
• Proven experience with cloud platforms (AWS, Azure, GCP) and MLOps tools.
• Excellent analytical, problem-solving, and algorithmic thinking skills.
• Strong communication and leadership abilities.
• Experience with containerization (Docker, Kubernetes) is a plus.

• Master's or Ph.D. in Computer Science, Machine Learning, Computer Vision, or a related field.
• Proven experience in developing and deploying computer vision models.
• Expertise in deep learning frameworks (TensorFlow, PyTorch, Keras).
• Proficiency in Python and relevant libraries (e.g., OpenCV, scikit-image).
• Strong understanding of image processing, feature extraction, and object detection algorithms.
• Experience with MLOps practices and cloud platforms is a plus.
• Excellent problem-solving and analytical skills.
• Strong communication and teamwork capabilities.

• Master's or Ph.D. in Computer Science, Machine Learning, Electrical Engineering, or a related field with a specialization in Computer Vision.
• Minimum of 5 years of hands-on experience in developing and deploying computer vision models using deep learning techniques.
• Proficiency in Python and deep learning frameworks such as TensorFlow, PyTorch, or Keras.
• Strong experience with libraries like OpenCV, scikit-image, and image processing tools.
• Familiarity with cloud platforms and MLOps practices for model deployment and monitoring.
• Experience with data augmentation, model optimization, and performance tuning.
• Excellent problem-solving, algorithmic thinking, and analytical skills.
• Strong communication and collaboration abilities, essential for a remote team environment.