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- Tasks: Build and maintain ML tooling and infrastructure while collaborating with research teams.
- Company: Dynamic tech staffing firm focused on next-gen AI solutions.
- Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
- Why this job: Join a cutting-edge team and shape the future of AI technology.
- Qualifications: 4+ years in software engineering with Python and frameworks like PyTorch.
The predicted salary is between 36000 - 60000 £ per year.
A technology staffing firm is seeking a Software Engineer IV (Python) to build and maintain ML tooling and infrastructure in Cambridge. This hybrid role involves collaborating with research teams to create scalable ML pipelines and develop systems connecting compute clusters.
Candidates should have over 4 years of experience in software engineering, particularly with Python and frameworks like PyTorch. The position offers a dynamic environment focused on next-generation AI solutions.
Python Software Engineer — ML Tooling & Infrastructure in Cambridge employer: Russell Tobin
Contact Detail:
Russell Tobin Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Python Software Engineer — ML Tooling & Infrastructure in Cambridge
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those working with ML and Python. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a GitHub repo showcasing your projects, especially those involving ML tooling or Python frameworks like PyTorch. This gives potential employers a taste of what you can do.
✨Tip Number 3
Prepare for technical interviews by brushing up on your coding skills and ML concepts. Practice common algorithms and data structures, and be ready to discuss your past projects in detail.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of resources to help you land that dream job, and applying directly can sometimes give you an edge over other candidates.
We think you need these skills to ace Python Software Engineer — ML Tooling & Infrastructure in Cambridge
Some tips for your application 🫡
Show Off Your Python Skills: Make sure to highlight your experience with Python and any relevant frameworks like PyTorch in your application. We want to see how you've used these tools in real-world projects, so don’t hold back!
Tailor Your Application: Take a moment to customise your CV and cover letter for this role. Mention specific experiences that relate to building ML tooling and infrastructure, as this will show us you’re the right fit for our dynamic environment.
Collaborate Like a Pro: Since this role involves working closely with research teams, share examples of past collaborations in your application. We love to see how you’ve worked with others to create scalable solutions!
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for this exciting opportunity in Cambridge.
How to prepare for a job interview at Russell Tobin
✨Know Your Python Inside Out
Make sure you brush up on your Python skills, especially if you've been working with it for over four years. Be ready to discuss your experience with frameworks like PyTorch and how you've used them in past projects. We recommend preparing a few examples of challenges you've faced and how you overcame them.
✨Understand ML Tooling and Infrastructure
Since the role focuses on ML tooling and infrastructure, it's crucial to familiarise yourself with the latest trends and technologies in this area. We suggest researching scalable ML pipelines and compute clusters, and be prepared to discuss how you would approach building and maintaining these systems.
✨Collaboration is Key
This position involves working closely with research teams, so highlight your teamwork skills during the interview. We advise thinking of specific instances where you've successfully collaborated on projects, particularly in a hybrid or dynamic environment. Show them you can communicate effectively and contribute to a team.
✨Ask Insightful Questions
Interviews are a two-way street, so come prepared with thoughtful questions about the company’s approach to AI solutions and their current projects. We believe this shows your genuine interest in the role and helps you assess if the company is the right fit for you.
