364 Facial Recognition jobs in the United Kingdom
Machine Learning Engineer - Computer Vision
Posted 1 day ago
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Job Description
Responsibilities:
- Design, train, and optimize deep learning models for various computer vision tasks such as object detection, image segmentation, facial recognition, and video analysis.
- Implement and deploy ML models into production environments, ensuring scalability and performance.
- Collaborate with research scientists and software engineers to integrate ML solutions into product pipelines.
- Conduct thorough data preprocessing, augmentation, and feature engineering for computer vision datasets.
- Evaluate model performance using appropriate metrics and conduct rigorous testing.
- Stay up-to-date with the latest advancements in machine learning, deep learning, and computer vision research.
- Develop efficient pipelines for data collection, annotation, training, and deployment (MLOps).
- Write clean, well-documented, and maintainable code in Python and relevant ML frameworks.
- Contribute to the architectural design of ML systems and platforms.
- Present findings and model results to technical and non-technical stakeholders.
Qualifications:
- Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
- Proven industry experience (4+ years) as a Machine Learning Engineer with a strong focus on Computer Vision.
- Expertise in deep learning frameworks such as TensorFlow, PyTorch, or Keras.
- Proficiency in Python and libraries like OpenCV, NumPy, and Pandas.
- Solid understanding of computer vision algorithms and techniques.
- Experience with cloud platforms (AWS, Azure, GCP) and ML deployment tools.
- Familiarity with MLOps practices and tools (e.g., Docker, Kubernetes, MLflow).
- Strong analytical and problem-solving skills.
- Excellent communication and collaboration abilities, crucial for a remote team environment.
- Published research in relevant conferences or journals is a plus.
Machine Learning Engineer - Computer Vision
Posted 1 day ago
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Job Description
Your responsibilities will include:
- 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.
Essential qualifications:
- 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.
Machine Learning Scientist

Posted 1 day ago
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Job Description
We are the leader in human-centric cybersecurity. Half a million customers, including 87 of the Fortune 100, rely on Proofpoint to protect their organizations. We're driven by a mission to stay ahead of bad actors and safeguard the digital world. Join us in our pursuit to defend data and protect people.
How We Work:
At Proofpoint, you'll be part of a global team that breaks barriers to redefine cybersecurity, guided by our BRAVE core values: Bold in how we dream and innovate, Responsive to feedback, challenges, and opportunities, Accountable for results and best-in-class outcomes, Visionary in future-focused problem-solving, Exceptional in execution and impact.
Corporate Overview
Proofpoint is a leading cybersecurity company protecting organizations' greatest assets and biggest risks: vulnerabilities in people. With an integrated suite of cloud-based solutions, Proofpoint helps companies around the world stop targeted threats, safeguard their data, and make their users more resilient against cyber-attacks. Leading organizations of all sizes, including more than half of the Fortune 1000, rely on Proofpoint for people-centric security and compliance solutions mitigating their most critical risks across email, the cloud, social media, and the web.
We are singularly devoted to helping our customers protect their greatest assets and biggest security risk: their people. That's why we're a leader in next-generation cybersecurity.
Protection Starts with People. Proofpoint.
**The Role**
Proofpoint is looking for a Machine Learning Scientist to join the Algo team within the Tessian Business Unit. In this role, your key responsibility will be to analyse data, build ML models and improve algorithms at the core of our email threat detection engine that protects some of the largest businesses in the world. You will collaborate with Product and Engineering teams to identify and solve the most impactful problems applying state-of-the-art machine learning tools and techniques. You'll be surrounded by incredibly smart, talented and friendly colleagues. Engineers at Tessian love to learn from each other and pull together as a team to succeed.
*This is a Hybrid role; Cork or Belfast.
**Your day-to-day**
-Wrangle and draw meaningful insights from massive amounts of unstructured textual data using the latest tools and technologies like Spark, Iceberg, Athena, AWS SageMaker
-Apply unsupervised learning algorithms across billions of email interactions to identify emerging threat patterns
-Work with state-of-the-art machine learning models and techniques like encoder-decoder transformers, LLMs, anomaly detection as well as classical ML models to solve a multifaceted problem
-Engineer new features, train and deploy models to production using AWS SageMaker as the MLOps platform
-Adopt a data-driven approach to identify gaps in our detection algorithms and propose improvements to our models and algorithms
-Promote and drive ML best practices and cultivate an environment of experimentation and learning
-Stay up to date with the latest advancements in machine learning, AI technologies, and incorporate them into our solutions where applicable
**What you bring to the team**
Essential
- Proficiency in Python with the ability to write clean, well-structured, and maintainable code for data analysis, modeling and experimentation
- Experience contributing to multiple highly impactful machine learning projects with proven results
-Hands-on experience in the NLP domain involving training, fine-tuning and productionising transformer-based models for text classification / text-embeddings (experience with LLMs, generative AI is a plus)
-Experience monitoring and maintaining performance of models over time in production considering model/data drifts In-depth experience with one or more deep neural network frameworks (e.g. PyTorch, Tensorflow, JAX)
-A creative mindset, propensity to care deeply about the impact their team has and to encourage novel ways of critical thinking in their team
Good to have
-Conceptual understanding of Graph Neural Networks and experience applying GNNs to solve real world problem statements will be a plus
-Experience working on large imbalanced datasets, evaluating and selecting models that work well in production on imbalanced real-world data
Why Proofpoint
Protecting people is at the heart of our award-winning lineup of cybersecurity solutions, and the people who work here are the key to our success. We're a customer-focused and a driven-to-win organization with leading-edge products. We are an inclusive, diverse, multinational company that believes in culture fit, but more importantly 'culture-add', and we strongly encourage people from all walks of life to apply.
We believe in hiring the best and the brightest to help cultivate our culture of collaboration and appreciation. Apply today and explore your future at Proofpoint! #LifeAtProofpoint
#LI-Hybrid
Why Proofpoint? At Proofpoint, we believe that an exceptional career experience includes a comprehensive compensation and benefits package. Here are just a few reasons you'll love working with us:
- Competitive compensation
- Comprehensive benefits
- Learning & Development: We are committed to the growth and development of our team members, offering a range of programs including leadership and professional development workshops, stretch project assignments, and mentoring opportunities to help employees reach their full potential.
- Flexible work environment: (Remote options, hybrid schedules, flexible hours, etc.).
- Annual wellness and community outreach days
- Always on recognition for your contributions
- Global collaboration and networking opportunities
Our Culture:
Our culture is rooted in values that inspire belonging, empower purpose and drive success-every day, for everyone. We encourage applications from individuals of all backgrounds, experiences, and perspectives. If you need accommodation during the application or interview process, please reach out to . How to Apply Interested? Submit your application here . We can't wait to hear from you!
Proofpoint has been honored with six Best Places to Work Awards in 2024 by workplace culture leader Comparably, including Best Company Career Growth, Best Company Outlook, Best Global Culture, Best Engineering Teams, Best Sales Teams, and Best HR Teams.
We are the leader in human-centric cybersecurity. Half a million customers, including 87 of the Fortune 100, rely on Proofpoint to protect their organizations. We're driven by a mission to stay ahead of bad actors and safeguard the digital world. Join us in our pursuit to defend data and protect people.
Our BRAVE Values:
At Proofpoint, we are BRAVE in everything we do, and our values aren't just words-they shape how we work, collaborate, and grow.
We seek people who are bold enough to challenge the status quo, responsive in the face of ever-evolving threats, and accountable for delivering real impact.
We value those with a visionary mindset who anticipate what's next and push cybersecurity forward, and we celebrate exceptional execution that ensures we continue to defend data and protect people.
Proofpoint is an equal opportunity employer, we hire without consideration to race, religion, creed, color, national origin, age, gender, sexual orientation, marital status, veteran status or disability.
Find your network, your allies, and your biggest fans. We know that work is simply better when you're surrounded by people who inspire you-who share ideas, cheer you on, and genuinely want to see you succeed. That's why we offer social circles, sponsored networks, and connection points across teams and time zones-to help you find your people, build your community, and thrive together.
This isn't just a job-it's a mission to protect people and defend data in a world that never slows down. We're building the future of human-centric cybersecurity, and that future belongs to all of us. We take ownership, move fast, and hold ourselves accountable-because that's what it takes to stay ahead. And we do it together, winning as one.
Be empowered to reach your full potential through meaningful challenges and personalized support-designed around you and your goals. Whether you're growing as a leader or leveling up from great to exceptional as an individual contributor, we're here to help you get there.
Proofpoint is an equal opportunity employer, we hire without consideration to race, religion, creed, color, national origin, age, gender, sexual orientation, marital status, veteran status or disability.
Machine Learning Engineer
Posted 22 days ago
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Job Description
We're looking for Machine Learning Engineers to join the Generative ML Platform team at Snap Inc!
What you'll do:
+ Develop ML-tools and ML-products that serve millions of Snapchatters on a daily basis
+ Build cutting-edge augmented reality experiences with diffusion/flow matching models and GANs
+ Deliver GenAI experiences for the edge devices
+ Work on state of the art GenAI pipelines for image and video generation
+ Work closely with other Snap teams to introduce, prototype and launch new products
Knowledge, Skills & Abilities:
+ A proven passion for machine learning; you stay up-to-date with research and are excited about prototyping new ideas quickly
+ Knowledge of mathematics and deep learning foundations
+ Ability to effectively collaborate with internal teams and external partners
+ Ability to work independently
Minimum Qualifications:
+ Bachelor's Degree in a technical field such as computer science, mathematics, statistics or equivalent years of experience
+ Engineering experience in one or more of the following: neural rendering, generative models, segmentation, object detection, classification, tracking, or other related applications of deep learning
+ Experience with the major deep learning frameworks: PyTorch or TensorFlow
+ Strong programming skills in Python or C+Preferred Qualifications:
+ Experience developing real-time software for mobile applications
+ Knowledge of computer graphics foundations
+ Track record of successful projects in GenAI field
+ Examples of your work such as open source projects, blog posts, Kaggle contests, top conference or journal publications, etc.
If you have a disability or special need that requires accommodation, please don't be shy and provide us some information ( .
"Default Together" Policy at Snap: At Snap Inc. we believe that being together in person helps us build our culture faster, reinforce our values, and serve our community, customers and partners better through dynamic collaboration. To reflect this, we practice a "default together" approach and expect our team members to work in an office 4+ days per week.
At Snap, we believe that having a team of diverse backgrounds and voices working together will enable us to create innovative products that improve the way people live and communicate. Snap is proud to be an equal opportunity employer, and committed to providing employment opportunities regardless of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, pregnancy, childbirth and breastfeeding, age, sexual orientation, military or veteran status, or any other protected classification, in accordance with applicable federal, state, and local laws. EOE, including disability/vets.
Our Benefits ( : Snap Inc. is its own community, so we've got your back! We do our best to make sure you and your loved ones have everything you need to be happy and healthy, on your own terms. Our benefits are built around your needs and include paid parental leave, comprehensive medical coverage, emotional and mental health support programs, and compensation packages that let you share in Snap's long-term success!
**A Decade of Snap ( **:** Learn about our origin story, values, mission, culture of innovation, and more.
**CitizenSnap ( **:** In our third annual CitizenSnap Report, we demonstrate progress towards our environmental, social, and governance (ESG) goals, and we lay out our plans looking forward.
**The DEI Innovation Summit ( **:** Watch highlights from the 2nd annual DEI Innovation Summit, which brings together thought leaders and DEI experts for a day of courageous conversations to enable bold action.
**Snap News ( **:** Stay up to date on the latest and greatest product and innovation news at Snap
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Machine Learning Engineer
Posted 1 day ago
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Machine Learning Engineer
Posted 3 days ago
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Job Description
Who are we?
Hi!
Machine Learning Engineer
Posted 9 days ago
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Job Description
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
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Lead Machine Learning Engineer - Computer Vision
Posted 1 day ago
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Responsibilities:
- 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.
Senior Machine Learning Engineer - Computer Vision
Posted 1 day ago
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Job Description
Key responsibilities include designing, implementing, and testing machine learning algorithms and models, particularly those related to computer vision. You will work with large-scale datasets, ensuring data quality and integrity for training purposes. Collaborating closely with cross-functional teams, including software engineers and product managers, to integrate computer vision solutions into client applications and products will be a primary focus. You will also conduct research into new CV techniques and technologies, aiming to improve model accuracy, efficiency, and scalability. Performance monitoring, troubleshooting, and continuous improvement of deployed models are integral parts of the role. Experience with deep learning frameworks such as TensorFlow, PyTorch, or Keras, and proficiency in Python programming are essential. Familiarity with cloud platforms (AWS, Azure, GCP) and MLOps practices is highly desirable. We seek individuals with exceptional analytical skills, a proactive approach to problem-solving, and a passion for pushing the boundaries of computer vision technology. You will have the opportunity to work on impactful projects and contribute to the development of next-generation AI solutions.
Qualifications:
- 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.
Senior Machine Learning Engineer - Computer Vision
Posted 1 day ago
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Job Description
Key responsibilities include developing and training deep learning models using frameworks like TensorFlow or PyTorch, and performing rigorous testing and validation to ensure high performance and accuracy. You will be responsible for optimizing models for efficiency and deployment on various platforms, including edge devices. Collaborating closely with data scientists, software engineers, and product managers to understand requirements and integrate ML solutions into client products will be a core function. You will also contribute to the collection, annotation, and pre-processing of large-scale datasets required for model training. Staying current with the latest advancements in computer vision and deep learning research, and applying novel techniques to solve challenging problems, is crucial. This role demands exceptional analytical and problem-solving skills, strong programming abilities in Python, and experience with cloud computing platforms (e.g., AWS, GCP, Azure). As this is a fully remote position, outstanding communication, self-discipline, and the ability to thrive in an independent work environment are essential. You will have the opportunity to work on impactful projects, shape the direction of AI development, and contribute significantly to our client's technological advancements, all within a flexible, remote setting.
Qualifications:
- 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.