At a Glance
- Tasks: Lead the production of machine learning models and enhance our ML platform.
- Company: Join Relay, a fast-growing logistics startup backed by major investors.
- Benefits: Competitive salary, inclusive culture, and opportunities for professional growth.
- Other info: Dynamic team environment focused on innovation and collaboration.
- Why this job: Make a real impact on e-commerce by optimising logistics with cutting-edge ML technology.
- Qualifications: 2+ years in deploying ML models and 4+ years in software development.
The predicted salary is between 60000 - 80000 £ per year.
Relay is fundamentally reshaping how goods move in an online era. Backed by Europe’s largest-ever logistics Series A ($35M), Relay is scaling faster than 99.98% of venture-backed startups. We're assembling the most talent-dense team the logistics industry has ever seen. Relay’s mission is to free commerce from friction. Today, high delivery costs act as a hidden tax on e-commerce, quietly shaping what can be sold online and limiting who can participate. We envision a world where more goods move more freely between more people, making the online shopping experience seamless and accessible to everyone.
THE TEAM
- ~110 people, more than half in engineering, product and data
- 45+ advanced degrees across computer science, mathematics and operations research
- Thousands of data points captured, calculated, analysed and predicted for every single parcel we handle
- An intellectually vibrant culture of first-principles thinking, tight feedback loops and relentless experimentation
Every parcel Relay handles is touched by ML. We recommend and optimise route assignment, predict delivery durations, estimate parcel dimensions and weight, detect objects in images on device, forecast demand and decide network handovers. That's 10+ models running in the critical path of a live logistics network where quality is non-negotiable.
ML Stack Highlights
- Python and Rust. We keep things simple but use the right tool for the job
- Rust with ONNX in-process model execution where throughput is critical
- Chalk.ai as our Feature Store
- GCP Agent Platform Endpoints for model serving
- Cloud-native on GCP. Services run on Kubernetes, with extensive use of BigQuery
The Opportunity
As a Senior Machine Learning Engineer at Relay, you'll:
- Own critical part of ML: productionising of our models end-to-end, from training pipeline through live integration to measured business impact.
- Build and mature our ML Platform. Evolve the model serving architecture, expand reusable components adoption and set the standards for how Relay ships ML org-wide.
- Strengthen existing models by architecting integration and system testing within training pipelines, automated releases and drift monitoring.
- Launch completely revamped processes side by side with data scientists and measure their real-world impact on the network.
We're looking for candidates who…
- Have at least two years deploying and operating models in production and four years building software on high-performing teams.
- Are comfortable diving into unfamiliar codebases and languages to ship a model into a live system.
- Prefer building the automation that removes manual labour over repeating it.
Who Thrives at Relay?
- Aim with Precision: You define problems clearly and measure your impact meticulously.
- Play to Win: You chase bold bets, tackle the hard stuff, and view constraints as fuel, not friction.
- 1% Better Every Day: You believe that small, consistent improvements lead to exponential growth. You move quickly, deliver results, and learn from every experience.
- All In, All the Time: You show up and step up. You take ownership from start to finish and do what it takes to deliver when it counts.
- People-Powered Greatness: You invest in your teammates. You give and receive feedback with care and candour. You build trust through high standards and shared success.
- Grow the Whole Pie: You seek out win-win solutions for merchants, couriers, and our customers, because when they thrive, so do we.
Let’s connect if these resonate, and you combine strong technical fundamentals with entrepreneurial drive. Relay is an equal-opportunity employer committed to diversity, inclusion, and fostering a workplace where everyone thrives.
Senior Machine Learning Engineer in London employer: Relay Technologies
Relay is an exceptional employer, offering a vibrant and intellectually stimulating work culture that prioritises creativity and collaboration. As a Growth Marketing Manager, you'll have the unique opportunity to drive impactful marketing strategies in a fast-paced environment, backed by significant investment and a mission to revolutionise logistics. With a commitment to employee growth and a focus on diversity and inclusion, Relay empowers its team members to experiment, learn, and thrive while making a meaningful difference in the e-commerce landscape.
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We think you need these skills to ace Senior Machine Learning Engineer in London
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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Craft a Tailored Cover Letter:For a full-time role at Relay Technologies, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Relay Technologies. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Relay Technologies
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
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Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Relay Technologies!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
