At a Glance
- Tasks: Build and improve training features for runners using innovative technology.
- Company: Join a fast-growing team at Runna, recently acquired by Strava!
- Benefits: Enjoy flexible working, generous holiday, and wellness perks.
- Why this job: Make a real impact on the running community with cutting-edge tech.
- Qualifications: 5+ years in software engineering, proficient in Python, and strong problem-solving skills.
- Other info: Collaborative environment with excellent career growth opportunities.
The predicted salary is between 85000 - 95000 £ per year.
We are putting together a talented team to build the #1 training platform for runners. We help everyday runners become outstanding by building an incredible app providing world-class training, coaching, and community for everyone, whether you’re improving your 5k time or training for your first marathon. We’re growing extremely fast! In November 2023, we closed a $6.5M funding round led by JamJar with participation from Eka Ventures, Venrex, and Creator Ventures. In 2024, we were selected by Apple as one of three global finalists for the iPhone app of the year, reflecting the innovation and impact of what we’ve built. In 2025, we were acquired by Strava! Our ambition is huge: to become the go-to global leading training platform for millions of runners everywhere. We’re growing with purpose and looking for people who want to build something meaningful with lasting impact. With the recent acquisition by Strava accelerating our journey, now is a really magical time to join.
As a cross-functional (engineering, product, design, coaching) team of over 35, the Train Team works at the heart of Runna’s mission: delivering the best training possible to hundreds of thousands of runners worldwide. From creating and dynamically adjusting optimal, personalised training plans at scale, to analysing performance data to make training adjustment recommendations, to providing insight to users derived from their training and environment - we do all things training technology. We follow a flexible hybrid model that translates to more than half of your time on-site – 3 days per week in Runna's office based in London, UK.
What You’ll Do:
- Building, testing, and delivering new and improved training features (such as strength plans, post-injury plans, illness, weather, etc.)
- Experimenting to improve our training system with new algorithms, design patterns, optimisations, and modelling approaches
- Coaching and supporting engineers, providing guidance, mentorship, and code reviews without creating bottlenecks
- Collaborating with coaches to best deliver their expertise to users
- Using a data-led approach to influence algorithms where possible
- Designing and implementing test approaches to ensure consistency and accuracy of training
What You’ll Bring to the Team:
- Generally expect ~5+ years of experience in a software engineering, modelling focused position for this role, however, expect this to vary candidate to candidate!
- Proficiency in Python (object-oriented) programming, with experience writing production quality code - a bonus for large Python projects and leveraging scalable design patterns effectively
- Ability to design and implement complex algorithms and modelling components (e.g., exercise scheduling), and comfortable with quantitative methods and approaches to solving problems - gained through various experiences or studies (e.g., Computer Science, Mathematics, Physics, Engineering degree or equivalent practical experience)
- Ability to lead complex technical projects from inception to completion, whilst effectively collaborating with cross-functional (e.g., product) teammates
- Demonstrate best practice in your own work, as well as coaching other engineers to elevate the quality and velocity of the team
- Testing modelling focused software to ensure quality and maintainability
- A pragmatic mindset, with excellent communication and collaboration skills
- Analytical and detail-oriented, with a commitment to producing high-quality work
- Enthusiasm for our ways of working which include working in a fast-paced, iterative environment whilst maintaining engineering quality, iterative development, continuous deployment, and test automation
- Knowledge sharing, pair programming, collaborative design & development, shared code ownership & cross-functional teams
It’d be a bonus if you:
- Experience with deployment, release cycles, or CI/CD
- Experience delivering features end-to-end: from design, to implementation through to releasing, testing, and supporting
- Experience in a product-focused organisation, building consumer-facing applications
Compensation Overview & Benefits:
We’re offering a salary of £85,000-£95,000 per year, depending on experience, plus participation in Strava's long-term incentive (stock) programs. Overview of our benefits are below: We’re also committed to continually evolving our benefits to support you as we grow. Here is a brief overview of what we currently offer in the UK:
- Flexible working – we typically spend 3 days a week together in our Vauxhall office
- 25 days holiday, plus bank holidays (which you can take whenever suits you)
- Free Runna & Strava subscriptions for you and 3 of your friends
- Headspace membership
- Money every year to spend on gear, events, and the gym!
- Private health insurance with Bupa and workplace pension scheme
- Modern Health is a mental wellness platform and app that combines technology with professional support to improve mental well-being and reduce stress
- Carrot fertility support - this benefits provider can provide inclusive fertility, hormonal health, and family-forming benefits to our global employee population
Senior Modelling Engineer II in London employer: Runna
Contact Detail:
Runna Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Modelling Engineer II in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with people on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your projects and coding prowess. This is a great way to demonstrate your experience and passion for modelling and engineering.
✨Tip Number 3
Prepare for interviews by practising common technical questions and scenarios related to modelling and algorithms. Mock interviews with friends or using online platforms can help you feel more confident when it’s your turn to shine.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are genuinely interested in joining our mission at Runna!
We think you need these skills to ace Senior Modelling Engineer II in London
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter for the Senior Modelling Engineer II role. Highlight your experience with Python and any relevant projects that showcase your modelling skills. We want to see how you can contribute to our mission!
Show Your Passion: Let us know why you're excited about joining Runna! Share your enthusiasm for running, training technology, or how you can help everyday runners achieve their goals. A personal touch can really make your application stand out.
Be Clear and Concise: When writing your application, keep it straightforward and to the point. Use clear language to describe your experiences and skills. We appreciate a well-structured application that makes it easy for us to see your qualifications.
Apply Through Our Website: We encourage you to submit your application through our website. It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it’s super easy to do!
How to prepare for a job interview at Runna
✨Know Your Algorithms
Brush up on your algorithm design and modelling skills. Be ready to discuss specific algorithms you've implemented in the past, especially those related to exercise scheduling or performance data analysis. This will show that you can contribute to improving the training system.
✨Showcase Your Python Proficiency
Prepare to demonstrate your Python programming skills. Bring examples of production-quality code you've written, particularly in large projects. Highlight how you've used scalable design patterns effectively, as this is crucial for the role.
✨Collaboration is Key
Since the role involves working with cross-functional teams, think of examples where you've successfully collaborated with product managers or coaches. Be ready to discuss how you’ve led technical projects while ensuring smooth communication across different teams.
✨Emphasise Your Pragmatic Mindset
During the interview, convey your analytical and detail-oriented approach to problem-solving. Share experiences where you've maintained engineering quality in a fast-paced environment, and be prepared to discuss how you ensure consistency and accuracy in your work.