Senior Machine Learning Engineer

About us

We're a global leader in account-to-account payments, making it easy for merchants to collect both recurring and one-off payments directly from customers' bank accounts. Our global payments network and technology platform take the pain out of getting paid for 80,000 businesses worldwide, from multinational corporations to small businesses. Each year we process US$30 billion of payments across more than 30 countries. We're headquartered in the UK, with additional offices in Australia, France and the United States. 

ML Engineering at GoCardless

We believe that supporting and developing the ML lifecycle is critical to the continued success of our ML based product features. As an ML Engineer you will work with Data Scientists to solve specific problems and help deliver our predictive capabilities to help GoCardless to grow as a business, and expand our product offerings. 

As an ML Engineer you'll be an advocate of high-quality engineering and best practices in production ML systems.  You will help us design, build and productionalise ML models using proven ML techniques. You will work with Data Scientists and other teams to frame problems and develop, monitor and optimise ML solutions.

The Role

As an ML Engineer you will work closely with our Data Scientists. You will bring the ability to own the whole ML life cycle, define projects and drive excellence across teams.

In this role you will:

• Work in partnership with data scientists so that they can run their models in production.
• Own the toolchain for model development, deployment and maintenance
• Form a part of our enablement function, allowing GoCardless to leverage technology and data to grow the business
• Contribute to evolving our data platform to enable the data science team

What you’ll do / Responsibilities

We’re looking for people who:

• Have worked with data scientists to get models and data products into production
• Have worked towards building reusable tooling to accelerate our ability to use ML in production.
• Have an awareness of the product team’s needs and method of deploying the model in question.
• Contribute to the overall success of GoCardless by allowing us to truly gain value from our data.
• Can work with our Data Infrastructure team and help guide them to build the best data platform for running ML products.
• Can collaborate with our Developer Enablement team to ensure we’re building the fewest number of tools and reusing as much as we can

Desired skills: 

• You are passionate about developing cutting-edge solutions by combining expertise in machine learning and engineering 
• Enjoy unlocking tangible operational efficiencies and solving complex problems
• Care as much about the algorithm and accuracy as you care about deployment and scalability.

Life at GoCardless

When it comes to culture, we're proud of what we call the 'GC magic'. It's primarily defined by our values: Start With Why, Be Humble, Act with Integrity, and Care Deeply. They've been our bedrock since day one, and they continue to be one of the key factors of our success, and the reason we love showing up to work every day. 

Because we're now delivering on our important, and ambitious vision to become the world's account-to-account payment network, we're working at pace. To help clear the path to success - so any obstacles and blockers don't slow us down - we've introduced our own set of operating principles, which live alongside our values. They're designed to help us successfully navigate our continued growth by helping us work together better. They provide guideposts around some of the key areas of how we operate so things are smoother, easier and ultimately lead to better outcomes. Read more about our values and operating principles here.

There's lots more to the magic. We view Diversity and inclusion as a business imperative, so we have a leader whose role it is to ensure we create an inclusive workplace where people from all backgrounds can thrive, and where people from all walks of life want to join us. We also have high engagement with our GeeCee-led 'employee resource groups' (such as BEAM, Inspiring, Pride, Mindful and Access) that are supported and sponsored by members of our Exec team. You can view our latest Gender Pay Gap report here. 

We've also rolled out our 'Adaptive Working' and 'Work Away' schemes. Adaptive Working allows you to work flexibly, and in a way that fits around your lifestyle, whilst still ensuring our teams can collaborate effectively and get together and socialise.  Work Away gives the flexibility to work away from your normal country of residence for up to 90 days in any 12 month period. 

We also offer enhanced parental leave, pension packages, and you'll receive equity. Having this 'buy in' is a vital part of building a successful business where everybody - regardless of their role - can make a valuable contribution. 

There's also our legendary 'GC Fridays'. They're four additional all-company days off every year, giving GeeCees a chance to switch off and relax, as a token of thanks for everyone's hard work and commitment. 

Find out more about Life at GoCardless via Twitter, Instagram and LinkedIn.