• Full Time
  • Remote



is a nonprofit tech company with a mission to radically increase transparency and effectiveness in global development. We build ethical, inclusive digital ID powered by biometrics to verify that health, aid, and services truly reach people. Simprints partners with organizations like Gavi to in developing countries, Ministries of Health like Ghana on , and NGOs like BRAC to deliver . Studies have shown Simprints increases impact through real-time, precision data, for example increasing maternal health visits by 38% in Bangladesh or accurate HIV tracing by 62% in Malawi. Today we’ve worked in over 17 countries helping deliver health, aid, and finance to >2.5M people. Our goal is to transform the way the world fights poverty, ensuring that every vaccine, every dollar, and every public good reaches the people who need them most.

Role Overview

We’ve just raised new catalytic funding to scale our work. We’re looking for an experienced and ambitious Machine Learning Engineer to join our team during this exciting growth phase. You will be working on novel biometric algorithms, specifically designed to work in the toughest contexts of the planet. You will work in an agile, collaborative team with a commitment to clean code and robust design, along with a strong culture of continuous learning and improvement. If building technology for global health and international development sounds exciting, we want to meet you!

Role Objectives

Your impact

At Simprints, we want everyone to feel ownership of the tasks they are working on, starting from your first day. As the first ML engineer on the team, you will get a chance to shape not only your role, but the entire ML function at Simprints. Within the first month, we’ll help you set your environment up, and you will start playing with datasets. By your third month, you will have a good understanding of how our products are used and you’ll start architecting. In six months, you will lead with a high degree of autonomy the design and development for new products and functionality.


Use and improve existing open source biometric algorithms (e.g. face recognition)

Implement ML frameworks on Mobile and Cloud

Build training pipelines and infrastructure together with our Backend team

Team with our Android and Backend teams to design and develop ML products that work for our context

Write robust code that is easy to test and maintain, and runs reliably in challenging setting

Location: This is a remote position. We are currently only able to accept applications from candidates based in the United Kingdom, France, Poland, Bulgaria, Romania, Ghana, Ethiopia or Bangladesh and the candidate must have the right to work in one of these. We are unable to support relocation or visa sponsorship.

Salary: UK Grade 6: £55,000 – £70,000, with a cost-of-living adjustment for non-UK residents

Role manager: Chris Royce (Engineering Director)


A passionate problem solver who can help us find a way to achieve our mission

Deep understanding of ML algorithms and frameworks with at least 5 years of experience building AI/ML products

Solid understanding of the full software development lifecycle including application architecture design

Experience working within a team with a focus on code quality, where testing, code reviews, and continuous integration are the norm

Nice to have requirements:

Experience with biometric products such as face recognition

Experience with computer vision applications

Experience with building open source product


6 Reasons to join Simprints

Life is short. We believe work should be awesome, meaningful, and fun. At Simprints we’re taking on global development’s biggest challenges, powered by an amazing culture and incredible people. Work with us, and you will grow faster, learn more, and take on real responsibilities with the potential to make lasting change. * Genuine Impact. Work directly with our partners and users to deliver technology that has the potential to impact millions of lives.

Incredible, diverse team. Ask any “Simployee” what their favourite thing about working at Simprints is, and the answer is likely to be “the people.” Our work is at the intersection of technology and global development, and we’ve managed to build an amazing team drawn from all over the world. But don’t take our word for it—we’re an externally recognized

and * Career Advancement. Join the team of a forward-thinking social enterprise that is already pushing the boundaries of people leadership, with initiatives like unlimited PTO and progressive maternity/paternity leave.

Flexible hours. More efficient late at night? Better before the sun rises? Need to squeeze in a doctor’s visit Thursday morning? That’s fine by us. We are looking for people who get the job done, not for people who clock in and clock-out.

Professional development and well-being. We promote continual learning with self-directed learning objectives, external mentors, and regular one-on-one feedback. We also put our money where our mouth is with a dedicated ‘Learning ’ budget and access to global experts through the

. * Unlimited paid time off. We set high standards and goals, but give people the freedom to choose when and how to recharge. Join a team that trusts you with the job.

What’s next?

To apply:

Submit your application. We will then undertake shortlisting and arrange an initial 10-20 minute call with suitable candidates.

Invitation to complete assessment. Once we’ve received your completed assessment, top-scoring applicants will be invited to a video interview.

Video interview. The 30-60 minute interview is an opportunity to understand your motivations for joining Simprints, assess your cultural and technical fit, and provide you with a chance to ask any questions.

Final interview. This is intended to ensure that Simprints is as good a fit for you as you are for us. You’ll have a chance to meet further members of the team. This should last no longer than 2 hours.

Simprints is an equal opportunity employer. We pride ourselves in our firm commitment to improving diversity, equity, and inclusion in our workplace. We aim to attract, hire, grow, and retain the most qualified candidates regardless of race, gender, ability, religion, nationality, age, sexuality, and other differences.

We highly encourage interested and suitable candidates from underrepresented groups to apply for this position.

We are recruiting on a rolling basis for this role. With that in mind, we advise candidates to apply as soon as possible as we will be reviewing applicants on a first come first served basis. This vacancy will be closed once a suitable candidate has been identified.


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