Machine Learning Engineer, Relay

• You have deep prior experience with machine learning, but don’t just think of yourself as a “machine learning engineer”
• You are excited to take on a wide range of challenges within machine learning and software engineering
• You are practical and impact-oriented. You are scientific and rigorous in your work, but you can’t stand “science projects” – technology built for its own sake rather than to benefit end users or the business
• You act with agency and take pride of ownership in your work. You naturally take initiative, seeking out the best opportunities for impact
• You have deep empathy for the humans for whom you build technology, including customers, partners, and your fellow colleagues. You seek out the chance to hear directly from them and go out of your way to incorporate their feedback into your work
• You are eager to learn new technologies and take on new problem domains
• You value and practise clear communication, active listening, and intentional collaboration
• Have at least two years of experience deploying models in production and working on machine learning infrastructure
• Have worked on high-performing teams building software for at least four years
• Have broad experience across a variety of technology stacks

• We’re looking for an exceptional machine learning engineer to join our engineering team
• Build our machine learning engineering discipline from the ground up, deploying models, engineering features, and standing up the infrastructure that makes it all possible
• Take ownership over mission-critical components in the “brain” of our logistics network
• Work closely with fellow technologists (data scientists, backend and mobile engineers) as well as with members of our operations teams
• Regularly spend time in the field learning how the technology you build impacts our couriers and parcel recipients

• Hybrid remote work (3 days/week in the office)
• Cool co-working office in the heart of Shoreditch
• Competitive equity and compensation package, and culture of recognition
• 25 Days Holiday (plus bank holidays)
• Monthly social events - from Crystal Maze escape rooms to pottery painting and life-size Monopoly! We also have an annual off-site where we all get together in person to celebrate our wins and plan for more success in a relaxed environment.
• Unlimited free snacks and drinks in the office (all the Dash water you can drink, a whole cupboard full of nibbles, plus we have wonderful coffee machines!)
• Contributory pension
• Perks At Work discount scheme - online shopping discounts, cheap cinema tickets, money off holidays and so much more!
• Free membership of the gym in our co-working space

Total funding: $45m

In recent years, e-commerce has grown considerably. Despite this, the retail sector is still in the early innings of digital disruption in the US and the UK (especially when compared to more digitally mature markets such as China).