Machine Learning Engineer - Telematics

We’re a commercial motor insurer on a mission to save people time and money. From scooter delivery riders to private hire taxi drivers, our customers are our driving force. We’re making insurance fairer and more human for every one of them.

When we started back in 2016, we knew that traditional insurance held businesses back. It was too complicated, too expensive and too time consuming. So we set out to change things, building insurance solutions that empower professional drivers throughout the UK and Europe.

So far, we’ve raised over $200 million in funding. We’ve grown from a scrappy start-up into an industry changing organisation, and there’s plenty more to come.

That’s where you come in…

Purpose of the role

We are looking for an experienced Machine Learning Engineer to join our innovative Telematics team. Our Telematics team uses advanced digital signal processing and machine learning to process high-frequency sensor data to generate a comprehensive view of driving behaviour. We use this information to drive the future of insurance, creating fairer insurance products and helping drivers to be safer on the roads.

What you will be doing

• Supporting our Data Scientists in the design, development and deployment of new features, models and services that help us understand driving behaviour.
• Building reliable, resilient, and observable services and pipelines.
• Solving problems with data and software across the whole project lifecycle from inception, requirements, design, and shipping, through to operation and ongoing evolution.
• Collaborating across teams and disciplines to deliver solutions that make a real business impact.

What you will need to be successful

• Previous experience in a similar role, working with Data Scientists.
• You have delivered data-driven applications in production at scale with Python.
• You bring previous experience working with large amounts of tabular data (e.g. pandas, Polars, Spark).
• You can write clean, performant Python code and perform code reviews.
• You have experience working with AWS and a variety of AWS services (or other cloud providers).
• You understand machine learning concepts and have experience applying them.
• You have a collaborative approach to working with team members and enjoy solving problems in a cross-functional, diverse and distributed team.

Other nice-to-have skills or interests include

• Python-based data orchestration tools such as Airflow or Flyte.
• Experience with sensor or signal data.
• Experience with C# or Scala.

What’s it like to work at Zego?

Joining Zego is a career-defining move. People go further here, reaching their full potential to achieve extraordinary things.

We’re spread throughout the UK and Europe, and united by our drive to get things done. We’re proud of our company and our culture – a friendly and inclusive space where we can lift each other up and celebrate our wins every day.

Together, we’re setting the bar higher, delivering exceptional work that makes a difference. Our people are the most important part of our story, and everyone here plays a role. There’s loads of room to learn and grow, and you’ll get the freedom to steer your career wherever you want.

You’ll work alongside a talented group who embrace each other's differences and aren’t afraid of a challenge. We recognise our achievements, learn from our mistakes, and help each other to be the best we can be. Together, we’re making insurance matter.

How we work
We believe that teams work better when they have time to collaborate and space to get things done. We call it Zego Hybrid.

Our hybrid way of working is unique. We don't mandate fixed office days. Instead, we foster a flexible approach that empowers every Zegon to perform at their best. We ask you to spend at least one day a week in our central London office (next to Liverpool Street). You have the flexibility to choose the day that works best for you and your team. We cover the costs for all company-wide events (3 per year), and also provide a separate hybrid contribution to help pay towards other travel costs. We think it’s a good mix of collaborative face time and flexible home-working, setting us up to achieve the right balance between work and life.

Benefits

We reward our people well. Join us and you’ll get a market-competitive salary, private medical insurance, company share options, generous holiday allowance, and a whole lot of wellbeing benefits. And that’s just for starters.

We’re an equal opportunity employer and we value diversity at our company. We do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, marital status, or disability status.

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