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- Tasks: Develop ML tooling and infrastructure for innovative AI research teams.
- Company: Leading tech recruitment firm with a focus on cutting-edge technology.
- Benefits: Competitive contract pay and the chance to work on exciting projects.
- Why this job: Join a fast-paced environment and contribute to groundbreaking AI capabilities.
- Qualifications: 4+ years in software engineering, strong Python skills, and ML framework experience.
- Other info: Collaborative team culture with opportunities for professional growth.
The predicted salary is between 48000 - 72000 £ per year.
A leading tech recruitment firm is looking for an experienced Software Engineer (ML Infrastructure) in Cambridge. This hands-on contract role involves developing ML tooling and infrastructure to support research teams focused on cutting-edge AI capabilities.
Candidates should have strong expertise in Python and experience with ML frameworks like PyTorch or TensorFlow. Additionally, this role requires 4+ years of relevant industry experience and the ability to work collaboratively in a fast-paced environment. Strong communication skills are essential.
Python ML Infra Engineer — Cambridge Onsite (Contract) employer: RECRUITERs
Contact Detail:
RECRUITERs Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Python ML Infra Engineer — Cambridge Onsite (Contract)
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, or join online forums. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your ML projects, especially those using Python, PyTorch, or TensorFlow. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical skills and practising common ML infrastructure questions. We recommend doing mock interviews with friends or using online platforms to get comfortable.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we’re always on the lookout for talented individuals like you to join our team.
We think you need these skills to ace Python ML Infra Engineer — Cambridge Onsite (Contract)
Some tips for your application 🫡
Show Off Your Python Skills: Make sure to highlight your expertise in Python right from the start. We want to see how you've used it in real-world projects, especially in ML infrastructure. Don't hold back on those details!
Talk About Your ML Framework Experience: If you've worked with PyTorch or TensorFlow, let us know! Share specific examples of how you've implemented these frameworks in your previous roles. This will help us understand your hands-on experience.
Emphasise Collaboration: Since this role involves working closely with research teams, it's crucial to showcase your ability to collaborate effectively. Share instances where teamwork led to successful outcomes in your past projects.
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 during the process!
How to prepare for a job interview at RECRUITERs
✨Know Your Python Inside Out
Make sure you brush up on your Python skills before the interview. Be prepared to discuss your experience with Python in detail, including any specific projects you've worked on that involved ML tooling or infrastructure.
✨Familiarise Yourself with ML Frameworks
Since the role requires knowledge of frameworks like PyTorch and TensorFlow, take some time to review their key features and functionalities. You might be asked to explain how you've used these tools in past projects, so having concrete examples ready will help you stand out.
✨Showcase Your Collaborative Spirit
This position emphasises teamwork, so think of examples where you've successfully collaborated with others. Be ready to discuss how you handle feedback and work in fast-paced environments, as this will demonstrate your ability to fit into their culture.
✨Communicate Clearly and Confidently
Strong communication skills are essential for this role. Practice articulating your thoughts clearly and concisely. Consider doing mock interviews with a friend or using online platforms to refine your delivery and ensure you're comfortable discussing technical concepts.
