Research Software Engineer: Scale Distributed ML Pipelines in London

Research Software Engineer: Scale Distributed ML Pipelines in London

London Full-Time 60000 - 80000 € / year (est.) No home office possible
Deepstreamtech

At a Glance

  • Tasks: Design and develop distributed systems for training cutting-edge machine learning models.
  • Company: Deepstreamtech, a forward-thinking tech company based in London.
  • Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
  • Other info: Ideal for those passionate about technology and innovation.
  • Why this job: Join a collaborative team and contribute to innovative projects in machine learning.
  • Qualifications: Master’s in Computer Science and 4+ years in large-scale systems development.

The predicted salary is between 60000 - 80000 € per year.

Deepstreamtech is looking for a Research Engineer based in London to design and develop distributed systems for training frontier-scale models. You'll be responsible for writing clean, reliable code in Python and systems languages, while maintaining tools and internal pipelines.

The ideal candidate has a Master’s in Computer Science and over 4 years of experience in large-scale systems development. Exposure to machine learning workflows is a plus. Join a collaborative team committed to innovation.

Research Software Engineer: Scale Distributed ML Pipelines in London employer: Deepstreamtech

Deepstreamtech is an exceptional employer that fosters a collaborative and innovative work culture in the heart of London. With a strong commitment to employee growth, we offer opportunities for professional development and the chance to work on cutting-edge projects in distributed systems and machine learning. Our supportive environment encourages creativity and teamwork, making it a rewarding place for talented individuals to thrive.

Deepstreamtech

Contact Detail:

Deepstreamtech Recruiting Team

StudySmarter Expert Advice🤫

We think this is how you could land Research Software Engineer: Scale Distributed ML Pipelines in London

Tip Number 1

Network like a pro! Reach out to folks in the industry on LinkedIn or at meetups. A friendly chat can open doors that a CV just can't.

Tip Number 2

Show off your skills! Create a GitHub repo with projects that highlight your coding prowess in Python and systems languages. It’s a great way to demonstrate your expertise in distributed systems.

Tip Number 3

Prepare for those interviews! Brush up on your knowledge of machine learning workflows and be ready to discuss how you’ve tackled challenges in large-scale systems development.

Tip Number 4

Don’t forget to apply through our website! We love seeing candidates who are genuinely interested in joining our collaborative team at Deepstreamtech.

We think you need these skills to ace Research Software Engineer: Scale Distributed ML Pipelines in London

Python
Systems Programming
Distributed Systems Development
Large-Scale Systems Development
Machine Learning Workflows
Clean Code Practices
Reliability Engineering

Some tips for your application 🫡

Tailor Your CV:Make sure your CV highlights your experience with distributed systems and Python. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!

Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re passionate about working with frontier-scale models and how your background makes you a great fit for our team at Deepstreamtech.

Showcase Your Technical Skills:Don’t forget to mention any experience you have with machine learning workflows or large-scale systems development. We love seeing candidates who can demonstrate their technical prowess in their applications!

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’re considered for the role. Plus, it’s super easy!

How to prepare for a job interview at Deepstreamtech

Know Your Tech Inside Out

Make sure you brush up on your Python and systems languages. Be ready to discuss your previous projects in detail, especially those involving large-scale systems development. This will show that you’re not just familiar with the tech but can also apply it effectively.

Showcase Your Problem-Solving Skills

Prepare to tackle some technical challenges during the interview. Think about how you would approach designing distributed systems or optimising ML pipelines. Practising common coding problems can help you articulate your thought process clearly.

Highlight Your Collaborative Spirit

Since Deepstreamtech values teamwork, be prepared to share examples of how you've worked collaboratively in the past. Discuss any experiences where you contributed to a team project or helped innovate solutions together.

Research the Company Culture

Take some time to understand Deepstreamtech’s mission and values. Being able to align your personal goals with their commitment to innovation will demonstrate your genuine interest in the role and the company.