Machine Learning Research Engineer

Job title:

Machine Learning Research Engineer

Company

iProov

Job description

Research 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: VP, ResearchLocation: WeWork HQ, Waterloo – Hybrid (minimum once in the office per week)Comp: Negotiable (Base) + Company Performance Bonus (Lvl 3) + Share Options + UK iProov BenefitsHow you’ll make an impact:

• Take ownership of research areas in computer vision, machine learning and biometrics with high degree of autonomy tackling new, as yet, unsolved industry problems
• Work with our developers to see the products of the research turned into production code
• Collaborate with the research team on best solutions
• Communicate research outcomes across the company
• Contribute to the broader research strategy of the company
• Challenge the status quo of the existing solutions
• You will work with a diverse team of AI and machine vision specialists, applying state-of-the-art Machine Learning and Deep Learning techniques to develop original solutions to world wide problems.

We tend to look for people with:

• A Masters or PhD in a numerate discipline such as computer science, engineering, computational neuroscience
• Experience delivering machine learning or computer vision systems in an industrial environment
• Experience with time-series data and correlation
• Understanding of multiple Machine Learning disciplines, such as Image Processing, Computer Vision, Signal Processing, Natural Language Processing, Pattern Recognition etc.
• Experience with Docker and Google Suite including Google Cloud Platform
• Experience with DevOps tools such as experiment tracking, automation, dataset versioning, etc.
• Excellent data processing capabilities using tools such as Python, Excel, Google Suite

What we would like to see from you:

• You have good interpersonal skills and are prepared to collaborate in a team to refine solutions
• Natural curiosity to explore unexplored
• Perseverance and desire to solve challenging problems
• You are confident suggesting your ideas to solve problems
• You enjoy the exploratory nature of research
• You are eager to learn new techniques and technologies to solve new problems
• You enjoy working in a dynamic and agile environment

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
• 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

Sat, 16 Nov 2024 02:08:50 GMT

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