Junior Research Scientist

Story Terrace Inc.; Greater London; On-site; GBP 45,000 - 75,000; Full time

Job summary

A leading digital identity firm in Greater London seeks a dynamic individual to apply machine learning in digital identity verification. The role involves building and testing functional prototypes, with a strong emphasis on problem-solving and deep learning principles. A PhD in computer science or equivalent experience is required, along with proficiency in Python programming. This position offers flexible working arrangements and various benefits.

Benefits

Flexible working

Performance-based bonus

Share Options

Private Medical Insurance

Pension

25 days holiday

Continuous learning opportunities

Qualifications

• Strong knowledge of the theory and maths behind deep learning.
• Strong Python programming skills and the ability to write clean, maintainable code.
• The ability to build, train and test functional prototypes for new models.

Responsibilities

• Apply machine learning to digital identity verification.
• Build models from concepts to deployment teams.
• Assess models for signs of bias.

Skills

Deep learning theory and maths

Python programming (Tensorflow/PyTorch)

Analytical skills

Problem solving interest

Education

PhD in computer science or equivalent experience

Job description

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 seventeen 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From day one, we’ve been working to fix an outdated identity system.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.

Purpose of the Role

To work on projects in the fields of Computer Vision, Machine Learning and Deep Learning.

Role Dimensions

Reporting to Head of Research & Development; member of the R&D team

Principal Responsibilities

• Applying machine learning to the field of digital identity verification.
• The opportunity to build models from an idea, and helping to make models “production ready” so they can be passed to our deployment team.
• Assessing models for signs of bias with respect to any number of attributes.
• Working with huge real‑world datasets, and conducting research while also preserving the privacy of our users.

Knowledge, Skills, Qualifications and Experience

• Strong knowledge of the theory and maths behind deep learning.
• Strong Python programming skills (Tensorflow or PyTorch), and the ability to write clean, maintainable code.
• Strong analytical skills, and a keen interest in problem solving.
• PhD in computer science, related technical field, or equivalent practical experience.
• The ability to build, train and test functional prototypes for new loss functions, models and training paradigms.

Interview Process

Stage 1 - Call with a talent team acquisition member (30 minutes)

Stage 2 - Coding interview

Stage 3 - Research presentation (1 hour)

Stage 4 - Final interview (1 hour)

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)
• 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.

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 [e-mail] to 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‑mail [e-mail] or let us know at any stage of the recruitment process. For more information please read our Applicant Privacy Notice.