Who we are

Yoti is a global company whose aim is to be the world’s trusted identity system. We have seriously ambitious goals to become the world's most secure and data sensitive company. Our passionate team works to improve the way people share their personal information. Innovative products like the Yoti mobile app help people to prove who they are online and in person. Yoti is changing the way people prove their identity. Our products are built from the ground up to respect customers' privacy and put you in control. We will never sell on customer data - we couldn’t even if we wanted to. Designing products that are simple to use and easy to understand in the world of privacy, security and personal data is a tough challenge.

The Vision

We are creating a new concept. Something that has never been done before, Why not be part of something truly innovative and creative. Yoti is here to fight against fraud and build a secure identity system for individuals and businesses. We are a company who are pushing the boundaries of technology for a safer world.

More about the Team and the Role

This role is part of our internal R&D team, working on innovative projects in computer vision, deep learning, and face biometrics. Some of the work the team is doing includes developing our in-house facial age estimation model, our facial anti-spoofing models and other AI-driven solutions.

We’re seeking a mid level Machine Learning engineer with 2-4 years of experience working with a similar tech stack. You will be responsible for preparing, optimising, and organising large-scale multimodal datasets for deep learning, including building pipelines for image and video processing.

This is a fantastic opportunity to work alongside experienced researchers in a fast-moving and innovative environment.

Responsibilities

• Build upon our existing preprocessing system to add functionality for new data modalities, and automation of data preprocessing tasks in Python and SQL.
• Manage large scale datasets, ensuring data integrity, quality and usability for research initiatives.
• Collaborate with research scientists to establish efficient experimentation and model training workflows.
• Develop tools that accelerate experimentation and streamline research processes.
• Support model evaluation conducting regression and performance tests to ensure model reliability and accuracy.
• Monitor and troubleshoot data pipelines, ensuring smooth operation and timely delivery of research data.
• Document data workflows, best practices, and technical solutions to ensure knowledge sharing and reproducibility.
• Collaborate with product teams to identify and implement data-driven solutions to business challenges.
• Ensure compliance with data governance policies and security best practices.

Required Skills

• Proficiency in Git, Python, and a strong understanding of SQL for relational databases.
• Solid understanding of common data structures and algorithms.
• A good grasp of computer architecture and the core concepts of parallel and distributed programming.
• Excellent problem solving skills.
• A genuine interest in mathematics and statistics.
• Familiarity with computer vision and image processing
• Experience with:
• • Linux command-line and scripting
  • Docker
  • Git
  • Relational Databases
  • Automation

Desirable Skills

• Knowledge of at least one deep-learning framework, preferably PyTorch.
• Experience working with multiple tensor framework formats, e.g. ONNX, CoreML.
• Experience working in a dynamic environment within a research team.
• Knowledge of cloud based ML tooling and data processing.

What’s in it for you?

• Flexible working 
• Performance based discretionary annual bonus
• Share Options
• Internal Share Market 
• Private Medical Insurance
• Life Insurance
• Pension 
• Cycle to work scheme
• Electric Car Scheme
• 25 days holiday (plus bank holidays) + Birthday day off + Yotiversary Days ( upto 3 additional days, depending on length of service)
• 5 fully paid Selfie Days - for your own personal development, volunteering, charity events, etc
• Team and company activities, Social clubs. 
• Continuous learning opportunities (Annual Training budgets, conferences etc) 

This is a great opportunity to join a company that is leading the way for innovative and responsible identity verification. We’re looking for people who can adapt to a fast-paced environment, as well as champion our brand and what we stand for. We value a positive attitude and people who have a collaborative, creative and transparent approach to solving problems.

We believe in equal opportunities

It takes a diverse community of passionate, talented and committed people to build a simpler, more secure way of proving identity. We’re an equal opportunity employer, so we welcome applications from people of all backgrounds, with different outlooks and experiences. 

Pre-employment checks

If your application is successful please be aware that as part of our pre-employment checks:

• We will check identity; address match; PEPs and sanctions; bank validation, verification, fraud checks, negative data (CCJ, bankruptcy)
• If our investigations identify fraud or other criminal offences both when applying for a job and during your employment, we will record the details on the relevant fraud prevention databases. This information may be accessed from the UK and other countries and used by law enforcement agencies and other organisations to prevent fraud.
• Please contactto get information on which fraud prevention databases we use.

Talent Pool

If we consider that you might be suitable for other roles in the future, we will keep your details so we can contact you about these other roles. If you do not want us to keep your details for this purpose, please e-mailor let us know at any stage of the recruitment process. For more information please read ourApplicant Privacy Notice.