At a Glance
- Tasks: Build and maintain cutting-edge Machine Learning platforms and infrastructure.
- Company: Join Monzo, a forward-thinking tech company with a collaborative spirit.
- Benefits: Enjoy competitive pay, flexible work options, and opportunities for growth.
- Other info: Be part of a dynamic team that thrives on solving complex problems.
- Why this job: Make a real impact by empowering teams to deploy innovative Machine Learning solutions.
- Qualifications: Experience with AWS/GCP, Kubernetes, and backend software development.
The predicted salary is between 70000 - 90000 € per year.
Requirements
- You have experience working with AWS and/or GCP.
- You are a hands-on engineer with experience in building Machine Learning pipelines and the platforms that support them.
- You have experience working with Kubernetes.
- You’d be excited to build a platform that enables success for everyone at Monzo.
- You’re comfortable working in a team that deals with ambiguity.
- You’re naturally inclined to solve problems through automation.
- You have some experience with strongly typed languages, writing and working on backend software.
- You’re curious about systems and diving deep to investigate issues.
What the job involves
The Platform Collective builds and maintains the infrastructure, tools and processes that sets the rest of Monzo technology teams up for success. We work on a wide range of shared infrastructure, services and engineer tooling.
The Machine Learning Platform team sits within the Platform Collective and is responsible for designing, building, and maintaining the infrastructure and tools which empower our teams to train, evaluate, deploy, and serve Machine Learning models and features at scale.
Our team is made up of backend engineers with experience in the ML space, using our experience and curiosity to work with the ML teams to identify their needs, and test and build magically simple solutions.
Senior Platform Engineer (Machine Learning) in London employer: Deepstreamtech
Monzo is an exceptional employer that fosters a collaborative and innovative work culture, particularly for the Senior Platform Engineer role. With a strong focus on employee growth, we provide opportunities to work with cutting-edge technologies in a supportive environment that encourages problem-solving and automation. Located in a vibrant tech hub, our team thrives on tackling complex challenges while ensuring that every member contributes to building a platform that drives success across the organisation.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Platform Engineer (Machine Learning) in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those at Monzo or similar companies. A friendly chat can open doors and give you insights that a job description just can't.
✨Tip Number 2
Show off your skills! If you've built any Machine Learning pipelines or worked with Kubernetes, create a portfolio or GitHub repo showcasing your projects. This gives us a tangible way to see what you can do.
✨Tip Number 3
Prepare for the interview by diving deep into the tech stack mentioned in the job description. Brush up on AWS, GCP, and strongly typed languages. We love seeing candidates who are genuinely excited about the tools we use!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows us you're serious about joining the team and ready to contribute to building something amazing.
We think you need these skills to ace Senior Platform Engineer (Machine Learning) in London
Some tips for your application 🫡
Show Off Your Experience:Make sure to highlight your experience with AWS, GCP, and Kubernetes in your application. We want to see how you've built Machine Learning pipelines and the platforms that support them, so don’t hold back!
Be a Problem Solver:We love engineers who are naturally inclined to solve problems through automation. In your application, share examples of how you've tackled ambiguity and created solutions that made a difference.
Get Technical:Since we’re looking for someone with backend software experience, mention any strongly typed languages you’ve worked with. Dive into the technical details that showcase your skills and curiosity about systems.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and get to know you better. Plus, it shows you’re keen on joining our team!
How to prepare for a job interview at Deepstreamtech
✨Know Your Tech Stack
Make sure you brush up on your experience with AWS, GCP, and Kubernetes. Be ready to discuss specific projects where you've built Machine Learning pipelines and how you tackled challenges along the way. This will show your hands-on expertise and problem-solving skills.
✨Show Your Curiosity
Demonstrate your natural inclination to dive deep into systems. Prepare examples of times when you investigated issues or automated processes. This will highlight your proactive approach and eagerness to learn, which is crucial for a role that deals with ambiguity.
✨Teamwork Makes the Dream Work
Since you'll be working in a team environment, think of instances where you've collaborated effectively. Share how you’ve contributed to team success, especially in situations that required flexibility and adaptability. This will showcase your ability to thrive in a dynamic setting.
✨Prepare Questions
Have a few thoughtful questions ready about the Machine Learning Platform team and their current projects. This shows your genuine interest in the role and helps you understand how you can contribute to building solutions that empower others at Monzo.
