Machine Learning Engineer (PAI)

Job title:

Machine Learning Engineer (PAI)

Company

iProov

Job description

Machine Learning EngineerIf you’d like to make the online world a safer place, come and join us.About iProoviProov is the world leader in face biometric verification. We are on a mission to make the Internet a safer place for businesses and consumers and work with fantastic customers across a number of industry sectors – organisations using our technology include the US Department of Homeland Security, the UK Home Office, the NHS, Eurostar, the Australian government, the Singapore government, UBS and many more.Diversity at iProov is about reflecting the customers we serve, holding the principles of equality and inclusion at the heart of everything we do and all that we stand for, embracing differences, creating possibilities, and growing together. We aim to foster a culture where individuals of all backgrounds feel confident in bringing their whole selves to work, feel included and their talents are nurtured, empowering them to contribute fully to our purpose.The RoleReports to: Platform AI Team LeadLocation: London HQ – Hybrid (minimum once in the office per week)Comp: Negotiable (Base) + iCompany Performance Bonus (Lvl 2) + Share Options + UK Proov BenefitsWe are seeking an experienced Machine Learning Engineer to join our team and play a critical role in the research, development, and maintenance of advanced multi-modal deep learning systems. These systems are designed to detect a wide range of biometric attacks, including synthetic masks, deepfakes, and face-swaps, ensuring the security of millions of customers against identity fraud. The role involves implementing state-of-the-art research, writing high-quality code, and developing automated pipelines and tooling to update systems as needed.Key Responsibilities:

• Research and Development: Conduct thorough research on the latest advancements in deep learning and biometric security. Implement and test new methodologies to improve attack detection capabilities.
• System Maintenance: Develop, maintain, and optimise deep learning models that are robust and scalable, ensuring high performance in real-world scenarios.
• Automation Pipelines: Create and manage automated pipelines that facilitate seamless updates and improvements to the detection systems, ensuring they remain up-to-date with the latest threats and techniques.
• Collaboration: Work closely with cross-functional teams, including machine learning researchers, software engineers, and product managers, to integrate new features and enhancements into the existing systems.
• Performance Analysis: Conduct initial and ongoing analysis of system performance, identifying areas for improvement and ensuring that security gaps are addressed promptly.

We tend to look for people with:

• A Masters or PhD in Computer Science, Machine Learning, Engineering, Computational Neuroscience or a similar quantitative discipline.
• 2+ years of industry experience in machine learning or computer vision.
• You have strong experience of building end-to-end deep learning solutions.
• Expertise in Python, with hands-on experience using machine learning and deep learning toolkits such as TensorFlow, PyTorch, NumPy, scikit-learn, and Pandas.
• A solid foundation in software engineering principles and best practices, including proficiency in system design, data engineering, and the development of internal tools and pipelines.
• A passion for learning, utilising the latest advancements in machine learning and computer vision to improve models and solutions.
• Strong problem-solving and analytical skills with the ability to tackle complex technical challenges and develop innovative solutions.
• Excellent written and verbal communication skills, with the ability to articulate complex technical concepts to both technical and non-technical stakeholders.

Benefits

• 25 days Annual Leave, plus 8 Bank Holidays
• Salary sacrifice schemes including: Pension, Cycle To Work and Electric Car 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
• Award winning L&D platform with personal allocated training budgets
• Nursery Salary Sacrifice Scheme
• Pension – 5% employee, 3% employer
• Flexible hybrid working environment
• Free Barista Coffee/Tea, biscuits with fruit in the 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

Due to the nature of our work, we may require our staff to pass a UK Security Clearance check. As such, any offer would also depend on your ability to adhere to the UK Security check criteria.

Expected salary

Location

London

Job date

Fri, 16 Aug 2024 06:48:25 GMT

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