At a Glance
- Tasks: Architect and deliver innovative training engine features for a next-gen running app.
- Company: Join Runna, a forward-thinking company revolutionising the running experience.
- Benefits: Enjoy flexible working, bi-annual salary reviews, and generous holiday allowances.
- Other info: Dynamic team environment with opportunities for growth and innovation.
- Why this job: Be at the forefront of ML technology and make a real difference in fitness.
- Qualifications: Extensive ML engineering experience, especially with AWS.
The predicted salary is between 60000 - 80000 € per year.
Runna is seeking a Machine Learning Engineer to help build the next generation of the running app. This role involves architecting and delivering training engine features while working with cutting-edge ML technologies.
Applicants should have extensive experience in ML engineering, particularly in AWS, and a number of exciting benefits, including flexible working, salary reviews every six months, and generous holiday allowances.
Senior ML Engineer: Personalised Training Engine & MLOps in London employer: Runna
Runna is an exceptional employer that fosters a dynamic and innovative work culture, perfect for those passionate about machine learning and technology. With flexible working arrangements, biannual salary reviews, and generous holiday allowances, employees are empowered to thrive both personally and professionally while contributing to the development of a cutting-edge running app in a supportive environment.
StudySmarter Expert Advice🤫
We think this is how you could land Senior ML Engineer: Personalised Training Engine & MLOps in London
✨Tip Number 1
Network like a pro! Reach out to folks in the ML community, attend meetups, and connect with people on LinkedIn. You never know who might have the inside scoop on job openings at Runna or similar companies.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your ML projects, especially those involving AWS. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Practice common ML engineering questions and be ready to discuss your past experiences in detail.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Senior ML Engineer: Personalised Training Engine & MLOps in London
Some tips for your application 🫡
Show Off Your ML Skills:When you're writing your application, make sure to highlight your experience in machine learning engineering. We want to see how you've tackled challenges and delivered results using cutting-edge technologies, especially in AWS.
Tailor Your Application:Don’t just send a generic application! We love it when candidates tailor their CVs and cover letters to the role. Mention specific projects or experiences that relate directly to building training engine features.
Be Clear and Concise:Keep your application clear and to the point. We appreciate well-structured applications that are easy to read. Use bullet points where necessary to make your achievements stand out!
Apply Through Our Website:We encourage you to apply through our website for the best chance of getting noticed. It helps us keep track of applications and ensures you’re considered for all the exciting benefits we offer!
How to prepare for a job interview at Runna
✨Know Your ML Stuff
Make sure you brush up on your machine learning concepts, especially those related to personalised training engines. Be ready to discuss your previous projects and how you've used AWS in your ML engineering work.
✨Showcase Your Problem-Solving Skills
Prepare to tackle some technical challenges during the interview. Think about how you would approach common issues in ML engineering and be ready to explain your thought process clearly.
✨Familiarise Yourself with Runna
Do a bit of homework on Runna and their running app. Understand their mission and how your role as a Senior ML Engineer can contribute to their goals. This shows genuine interest and helps you align your answers with their vision.
✨Ask Insightful Questions
Prepare some thoughtful questions about the team dynamics, the technologies they use, and their future plans for the app. This not only demonstrates your enthusiasm but also helps you gauge if the company is the right fit for you.
