Machine Learning Engineer

Who we are

Born in 2014, Yoti is a digital identity and biometric technology company that makes it safer for people to prove who they are. The Yoti app was designed with privacy at its core, giving people a secure way to prove their identity and share third-party credentials with organisations and other people.

Today, we have over twenty  million app downloads around the world. We’ve expanded our offering to a suite of business solutions that span identity verification, age verification and estimation, e-signing, AI anti-spoofing technologies and we continue to think of innovative new offerings. 

From day one, we’ve been working to fix an outdated identity system. This is not a journey we make on our own but with policy advisors, think tanks, researchers, academics, humanitarian bodies, our users and everyday people. We are committed to solving identity problems through grassroots research and social purpose initiatives.

Our dedication to our mission and our team is why Yoti was proudly named one of the Sunday Times Best Places to Work 2026 in the UK.

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, optimizing, and organizing 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.

Working Arrangements: This will be a hybrid role and you will be expected to work from our Aldgate office atleast 1 day a week. 

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.

Interview Process 

Stage 1 - Talent acquisition team member (30 minutes)
Stage 2 - Call with Head of R&D and team member ( 45 minutes)
Stage 3 - Coding task (remote)
Stage 4 - In-person Presentation (120 minutes) 

What’s in it for you?

Flexibility & Balance

• Hybrid Working: Enjoy the best of both worlds with a blend of home working and time spent in our central London, dog-friendly office.
• Core Working Hours: We focus on outputs, not clock-watching. Our core hours support the flexibility you need for a genuine work-life balance.
• Work from Anywhere: Want a change of scenery? Take advantage of our policy to work remotely from abroad for short periods.

Health & Financial Peace of Mind

• Comprehensive Health Cover: Private medical insurance that includes full dental and optical care via Aviva.
• Enhanced Pension: After three years of service, we offer to enhance your employer pension contributions to help you secure your future.
• Enhanced Sick Pay: You’ll have eight days of Sick Pay each calendar year, for both mental and physical health issues. 
• Life Assurance: Peace of mind for you and your loved ones with our company-funded life assurance policy.
• Electric Vehicle Salary Sacrifice Scheme: Drive a brand-new electric vehicle and save up on lease costs by paying directly from your gross, pre-tax salary.
• Cycle to Work Scheme: Save money on a brand-new bike, e-bike, or safety equipment through tax-free salary deductions.

Leave and Wellbeing

• Generous Annual Leave: 25 days holiday as standard, plus your Birthday Off to celebrate properly.
• "Yotiversary" Days: Loyalty rewarded - earn up to three additional paid days off based on your length of service.
• Enhanced Parental Leave: We support growing families with up to six months’ fully paid maternity leave, 2 weeks of paid paternity leave plus a further four weeks of enhanced flexibility and time off,  and enhanced parental provisions. Feel free to ask for more details!
• Wellbeing Support: Access to trained, in-house Mental Health First Aiders whenever you need a confidential chat, plus a fully comprehensive Employee Assistant Program.

Growth and Giving Back 

• Personal Development Budget: A dedicated, individual training budget to spend on your professional growth, plus quarterly YOTI Afternoons dedicated entirely to your professional development.
• “Selfie Time": Paid time off every year to focus on volunteering, charity work, or personal passion projects.
• Matched Fundraising: Double your impact - we match charitable fundraising contributions made by our team.
• Unpaid Sabbatical: Career breaks available for long-term travel or personal resets after continuous service.

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.

AI Usage during the recruitment process

Please read our AI Usage in Recruitment policy to know more about how Yoti uses AI in the recruitment process and our stance on how candidates can use AI during the interview process. 

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. 

We are proud to be a Disability Confident employer and we’re committed to making our recruitment process as inclusive and accessible as possible.

If you have a disability or long-term condition and need any adjustments or support during the application or interview process, please let us know — we’ll do everything we can to support you and to enable you to bring your best self to our hiring process.

Pre-employment checks

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

• We will check your details against fraud prevention databases
• 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 contact peopleteam@Yoti.com to get information on which fraud prevention databases we use.

For more information about how we manage your data please read our Applicant Privacy Notice.