Research Engineer developing and operating analytical infrastructure for Gridware’s edge grid monitoring product. Collaborating on measurement analysis and new product operationalization in R&D team.
About the role
- Research Engineer at iProov developing innovative biometric solutions for secure access using cutting-edge Deep Learning technology. Collaborating on research projects to enhance liveness verification and biometric security.
Responsibilities
- You’ll be part of a collaborative, low-ego team pushing the boundaries of liveness verification and biometric security to protect millions of users worldwide.
- In this role, you’ll spend most of your time exploring and innovating, developing new biometric tests from palm and fingerprint matching to advanced presentation-attack detection to stay one step ahead of attackers.
- You’ll design acquisition systems and then stress-test them by trying to spoof and break your own work, ensuring our defences are ready before real-world threats appear.
- You’ll tackle complex challenges in biometric acquisition, improve data quality, and create samples that closely mimic contact-based systems.
- Most importantly, you’ll anticipate and defend against threats that haven’t even been imagined yet, keeping our technology secure long after it goes live.
- As a Research Engineer, you will use state-of-the-art Deep Learning technology to develop creative solutions for exciting, industry-defining problems.
- Take ownership of research areas in computer vision, machine learning, and biometrics.
- Work collaboratively with the research team to find the best solutions.
- Communicate research outcomes and findings across the company.
- Contribute to the broader research strategy of the team.
- Challenge the existing solutions and improve the status quo.
- Contribute to a strong team ethic, encouraging psychological safety and inclusivity.
Requirements
- A Master's or PhD in a quantitative field such as computer science, engineering, or computational neuroscience.
- Experience in machine learning and computer vision.
- Strong mathematical skills.
- Experience in developing research projects using Python.
- A solid understanding of machine learning techniques, including Neural Networks.
- Familiarity with Python libraries such as NumPy, Pandas, and Scikit-learn.
- Experience with Deep Learning libraries like PyTorch or TensorFlow.
- The ability to process large amounts of data, including unstructured data.
- Excellent communication skills for understanding and explaining complex concepts.
- Strong programming skills with a good grasp of data structures, object-oriented programming, and software engineering principles.
- Good time management and organizational skills.
- Great to have (but not essential) Understanding of multiple machine learning disciplines, such as Image Processing, Computer Vision, Signal Processing, Natural Language Processing, and Pattern Recognition.
- Experience with Docker and Google Cloud Platform.
- Experience with DevOps tools for experiment tracking, automation, and dataset versioning.
Benefits
- 25 days Annual Leave, plus 8 Bank Holidays (more holiday with service - up to an extra 5 days off per year based on your continuous service)
- Growth Shares allocated after passing probation (6 months of service)
- Salary sacrifice schemes including: Pension, Cycle To Work and Electric Car Scheme
- Nursery Sacrifice Scheme
- Work Overseas Perk - Work globally for up to 2 weeks
- Life Assurance
- SmartHealth - Access to private GP, Psychologist, Nutritionist along with tailored fitness plans for both you and your family
- Benefit from personalized 1:1 career coaching with our in-house Occupational Psychologist
- Award winning L&D platform with personal allocated training budgets
- Enhanced paid family leave
- Pension - 5% employee, 3% employer
- Flexible hybrid working environment
- Free Barista Coffee/Tea, biscuits with fruit in the WeWork office
- Free access to WeWork discounts and free online well-being sessions
- Vitality Health - a range of options available on this below: The Vitality Programme includes a number of reward benefits that all employees have access to as part of the plan, for example: Private Health cover including Dental, Optical, and Audiology
- 50% off monthly gym memberships
- Apple watches significantly discounted based member vitality status
- Half price trainers with Runners Need
- Weekly rewards – Free coffee with Café Nero
- Monthly rewards – Free Cinema ticket
- Discounts on travel with Expedia (hotels) and Mr & Mrs Smith with discounts getting greater throughout the year based on a members vitality status
- Amazon prime free months based on activity
- Up to 25% cashback at Waitrose when buying healthy foods
- 75% off stays at Champneys Health Spas
- Allen Carr’s £299 no smoking programme for free
- Access to Vitality Healthy Mind with 30% off Headspace subscriptions and the ability to earn Vitality points for using Buddhify, Calm and Headspace
- Discounts on Weight Watchers
- 50%-80% off Comprehensive Private Health screenings
Job title
Job type
Experience level
Salary
Degree requirement
Tech skills
Location requirements
Senior Research Engineer specializing in solid mechanics for Gridware's new sensing capabilities. Focused on mechanics modeling and algorithm design within a climate - tech environment.
Research Engineer developing agentic systems at Anthropic focused on LLMs and AI applications. Collaborating with researchers to enhance agent performance and tackle complex tasks.
System Modelling Innovation Engineer at Electrolux developing advanced product development system models. Enhancing modeling techniques and optimizing product development for better consumer experiences.
R&D Engineer developing estimation and control strategies for Electrolux appliances. Collaborating with global teams to innovate product features and drive sustainability in consumer electronics.
Principal Research Engineer leading engineering activities in behavior autonomy for Scientific Systems. Overseeing critical technology deliverables, team management, and proposal efforts.
Staff Research Engineer involved in creating a neurosymbolic AI agent at Onton. Focused on optimal decision - making processes and addressing challenges in current AI systems.
Research Engineer focusing on decentralized AI training stack for Prime Intellect. Engaging in novel research, optimizing workloads, and contributing to open - source frameworks.
Post - Training Research Engineer at Baseten developing tooling for efficient AI model training. Collaborating on diverse architectures and systems - level concepts to enhance performance in AI applications.
AI Data Innovation Engineer developing and validating AI capabilities tied to governed enterprise data products at U.S. Bank. Collaborating on AI readiness efforts and supporting data product initiatives.