At a Glance
- Tasks: Own and develop the operator-facing platform, enhancing web UIs and backend services.
- Company: Harnham, a leading firm in robotics and data pipelines.
- Benefits: Competitive daily rates and immediate start available.
- Other info: Exciting opportunity for career growth in a fast-paced environment.
- Why this job: Join a dynamic team and work on cutting-edge robotics integration.
- Qualifications: Strong Python skills and knowledge of scalable infrastructure required.
The predicted salary is between 60000 - 80000 £ per year.
Harnham is seeking a Senior ML Platform Engineer in Greater London to own and develop the operator-facing platform. You will enhance web UIs, backend services, and tooling for data workflows, collaborating with robotics teams on critical integration.
The ideal candidate has strong Python experience, a deep understanding of concurrency, and hands-on knowledge of scalable infrastructure. Competitive daily rates and immediate start available.
Senior ML Platform Engineer — Robotics & Data Pipelines in London employer: Harnham
Harnham is an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration in the heart of Greater London. With competitive daily rates and a focus on employee growth, you will have the opportunity to work alongside talented professionals in robotics and data pipelines, enhancing your skills while contributing to impactful projects. The company's commitment to cutting-edge technology and supportive environment makes it an ideal place for those seeking meaningful and rewarding employment.
StudySmarter Expert Advice🤫
We think this is how you could land Senior ML Platform Engineer — Robotics & Data Pipelines in London
✨Tip Number 1
Network like a pro! Reach out to folks in the robotics and data pipelines space on LinkedIn. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your Python projects, especially those related to scalable infrastructure. This will give you an edge when discussing your experience.
✨Tip Number 3
Prepare for technical interviews by brushing up on concurrency concepts. We all know how crucial it is in ML platforms, so be ready to discuss your hands-on experience!
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who take that extra step.
We think you need these skills to ace Senior ML Platform Engineer — Robotics & Data Pipelines in London
Some tips for your application 🫡
Show Off Your Python Skills:Make sure to highlight your strong Python experience in your application. We want to see how you've used Python in real-world projects, especially in relation to web UIs and backend services.
Demonstrate Your Understanding of Concurrency:Since concurrency is key for this role, share examples of how you've tackled concurrent programming challenges. We love seeing practical applications of your knowledge!
Talk About Scalable Infrastructure:If you've worked with scalable infrastructure before, let us know! Describe the systems you've built or improved, and how they’ve handled increased loads or data workflows.
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 ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at Harnham
✨Know Your Python Inside Out
Since the role requires strong Python experience, make sure you brush up on your Python skills. Be ready to discuss your past projects and how you've used Python to solve complex problems, especially in relation to data workflows.
✨Understand Concurrency Like a Pro
Given the emphasis on concurrency, it’s crucial to demonstrate your understanding of this concept. Prepare to explain how you've implemented concurrent programming in previous roles and be ready to tackle any technical questions related to it.
✨Familiarise Yourself with Scalable Infrastructure
The job calls for hands-on knowledge of scalable infrastructure. Research common architectures and tools used in the industry. Be prepared to discuss how you've contributed to building or maintaining scalable systems in your past work.
✨Collaborate and Communicate
As you'll be working closely with robotics teams, showcasing your collaboration skills is key. Think of examples where you've successfully worked in cross-functional teams and how you communicated technical concepts to non-technical stakeholders.
