Senior developer python

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From day one, we’ve been working to fix an outdated identity system.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: Working closely with the internal R&D team to deploy cutting-edge deep learning technology to power crucial Yoti products.

Role Dimensions: Sitting in the AI Services Team, reporting to the Head of AI Services.

Principal Responsibilities:

• Working closely with the team members and the team lead to ensure that technology development and delivery are implemented to specification and of good quality.
• Deploy R&D machine learning models that have reached enough technological maturity into production (either in data centres, on cloud platforms, or on devices).
• Work closely with our R&D team to support planning, development, maintenance, and testing of machine learning models while leveraging software engineering best practices.
• Support the development and maintenance of machine learning tooling and infrastructure for using production data in R&D research projects to improve the scale and efficiency of machine learning development.
• Development and maintenance of the production data pipeline for the R&D team.
• Identify and evaluate new patterns and technologies to improve the performance, maintainability, and traceability of our machine learning systems.

Knowledge, Skills, Qualifications and Experience:

• Experience writing network-facing server software in Go.
• Experience in computer vision and Python.
• Knowledge of or interest in Triton, PyTorch, or TensorFlow.
• Knowledge of or interest in Docker and/or Kubernetes.
• Linux knowledge.
• Knowledge of modern version control tools (we use git), and how to use them effectively (proper commit messages, code review).
• Familiarity with shell scripting and command line tools.
• Knowledge of or interest in cryptography.
• Previous exposure of working as a part of a R&D team will be beneficial, but not necessary.
• Ensure that tech development and delivery are implemented to specification and with top quality.
• Actively interested in learning more about technology, and keeping up to date with new developments.
• As part of a close-knit team, you are able to communicate effectively with your colleagues.

Interview Process

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

Stage 2 - Call with Head of AI Services (45 minutes) - Virtual

Stage 3 - Coding Assessment

Stage 4 - Final Interview (90 minutes) - Virtual

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 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 or let us know at any stage of the recruitment process. For more information please read our Applicant Privacy Notice .

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: Working closely with the internal R&D team to deploy cutting-edge deep learning technology to power crucial Yoti products.

Role Dimensions: Sitting in the AI Services Team, reporting to the Head of AI Services.

Principal Responsibilities:

• Working closely with the team members and the team lead to ensure that technology development and delivery are implemented to specification and of good quality.
• Deploy R&D machine learning models that have reached enough technological maturity into production (either in data centres, on cloud platforms, or on devices).
• Work closely with our R&D team to support planning, development, maintenance, and testing of machine learning models while leveraging software engineering best practices.
• Support the development and maintenance of machine learning tooling and infrastructure for using production data in R&D research projects to improve the scale and efficiency of machine learning development.
• Development and maintenance of the production data pipeline for the R&D team.
• Identify and evaluate new patterns and technologies to improve the performance, maintainability, and traceability of our machine learning systems.

Knowledge, Skills, Qualifications and Experience:

• Experience writing network-facing server software in Go.
• Experience in computer vision and Python.
• Knowledge of or interest in Triton, PyTorch, or TensorFlow.
• Knowledge of or interest in Docker and/or Kubernetes.
• Linux knowledge.
• Knowledge of modern version control tools (we use git), and how to use them effectively (proper commit messages, code review).
• Familiarity with shell scripting and command line tools.
• Knowledge of or interest in cryptography.
• Previous exposure of working as a part of a R&D team will be beneficial, but not necessary.
• Ensure that tech development and delivery are implemented to specification and with top quality.
• Actively interested in learning more about technology, and keeping up to date with new developments.
• As part of a close-knit team, you are able to communicate effectively with your colleagues.

Interview Process

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

Stage 2 - Call with Head of AI Services (45 minutes) - Virtual

Stage 3 - Coding Assessment

Stage 4 - Final Interview (90 minutes) - Virtual

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 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 or let us know at any stage of the recruitment process. For more information please read our Applicant Privacy Notice .