Machine Learning Engineer

Find your magic with us

Connecting people to their family stories is special. We’re proud to deliver these magic moments. Through technology, data and insights, we bring people closer to their past, to benefit their future. ​

We’re a fast-growing team of smart people, on a mission to help millions.  Solve meaningful, complex problems and be a part of something magical.  Enjoy the agility of a scale-up with the security of real financial backing, in a place where every story matters.

Why join our engineering team?

1. We’re driven by the desire to create a fantastic customer experience
2. We love nothing more than taking big data and making it quick and easy for our consumers to use
3. We’re naturally collaborative and our cross functional teams work closely with our colleagues to build / enhance our product
4. We’re neatly set up for flexible working and giving people the freedom to thrive.
5. We have small teams that give you the chance to try out different problems whilst making a real difference to the business
6. We’re a supportive bunch and actively encourage mentorship, peer learning and discussion through our active engineering communities.

You won’t find any bureaucracy here, but you will find:

• Generous holiday allowance with the chance to buy more
• A pension contribution that stands out in the market
• All the health and wellbeing benefits you’d expect and some you wouldn’t
• The chance to work with smart and fun people on products that will bring joy to millions.

As a remote-first organisation, Findmypast employees choose how and where in the UK they work best, whether that’s from home or at one of our offices. Yet, we recognise the value in seeing each other in person from time to time.

About the Role:

This is an opportunity for Machine Learning Engineer who wants to make a difference.

If successful, you’ll join a purpose-driven engineering team focused on developing and delivering products to solve problems in a lean-agile environment.  Together we find new ways to create a great experience for all our users and make a positive impact to the way social and family history is researched.

You will use your expertise in Machine Learning to create new user experiences using our 3 billion historical records and millions of pages of newspaper content. You will be joining our engineering team and be a valued member working closely in a collaborative, autonomous, cross-functional team.

Here’s what the role involves:

• You will be building AI/ML solutions to solve problems such as entity extraction, text classification, summarisation etc.
• You will be designing, developing and maintaining scalable end to end ML pipelines.
• You will be using these pipelines to deliver customer-facing experiences.
• You will be mentoring mentor and support others to deliver efficient, high-quality implementation at a project level and on your own tasks

About you:

• Are you able to develop and deploy machine learning models to production, including tasks like data preparation, training, and monitoring?
• Can you build and maintain large-scale ML inference pipelines?
• Do you have the ability to code to production standards in Python?
• Are you experienced with ML frameworks such as TensorFlow, PyTorch, and scikit-learn?
• Do you possess knowledge of and a commitment to sound engineering practices?
• Are you a strong communicator who enjoys working collaboratively as part of a team?

If you said yes to these, and this all sounds appealing, then get in touch. This could be the start of something special.

If you have experience with the below it would be great to hear about:

• Knowledge of Docker and Kubernetes.
• Experience with workflow and orchestration tools such as Airflow, Dagster or equivalent.
• Experience in a Software Engineering role.
• Experience with NLP techniques and/or computer vision.

What to expect next:

Our interview process is fast and goes like this:

• You will have an initial call with a member of our People Team. After that, you will receive a take-home task.
• 30-minute code walk-through session with our Engineers
• Depth of expertise interview (up to 60 mins) with two of our Engineers covering engineering practices, values and approaches as well as architectural design through to scalability and 30 mins values session with a member of our Engineering Leads.

We don’t want our approach to hold anyone back, so if we need to tweak this for you, please just ask. Plus we’d love to know your pronouns so please let us know when you apply.

We want Findmypast to be the best company for all our diverse employees and customers.  If you’d like a deeper understanding of our commitment to diversity, check out our careers page.

To apply for this role, please follow our online application process and submit a CV and cover letter.

We’re passionate about making FMP a great place to work and setting people up to succeed. Findmypast is a remote-first organisation with office hubs in London and Dundee. This role is permanent remote-first position, working 35 hours per week, with regular team days in our London Fleet Street office. We offer a generous package including 26 Days Holidays + Bank Holidays, health cash plan, corporate gym discounts, excellent pension, a competitive salary, and many more staff discounts and benefits.

We are an equal opportunity employer and want Findmypast to be the best company for all our diverse employees and customers. We encourage applications from everyone and do not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, age, marital status, disability status or any other protected characteristics. If you’d like a deeper understanding of our commitment to diversity, check out our careers page. Should you require adjustments to be made to the recruitment process, please let us know and if you’d like to share your pronouns then please do!

If you have any issues with your application, please email recruitment@dcthomson.co.uk

Please note that we reserve the right to close the vacancy early once we have received suitable applications. Therefore, please ensure you submit your application as early as possible to avoid disappointment.

If you are a recruitment agency, please be aware that we’re not looking for additional assistance with recruitment. Please do not send us CVs. We will not be responsible for fees related to unsolicited CVs.