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- Tasks: Lead the development of a research platform and analyse data effectively.
- Company: Innovative technology firm with a focus on collaboration and inclusivity.
- Benefits: Flexible work options, competitive pay, and opportunities for professional growth.
- Why this job: Join a cutting-edge team and make a real impact in machine learning.
- Qualifications: Strong Python skills and experience in machine learning experimentation.
- Other info: Contract runs until 30th June 2026, offering a dynamic work environment.
The predicted salary is between 50000 - 70000 £ per year.
A technology firm is seeking a Research Development Software Engineer based in the UK. The successful candidate will be responsible for leading the development of a Community Library Creator research platform and ensuring effective data analysis.
Ideal candidates will have strong Python engineering skills and experience in machine learning experimentation. This position requires a mix of on-site and remote work, with a focus on collaboration in an inclusive environment.
The estimated end date for this contract is 30th June 2026.
Research Platform Engineer - ML Evaluation & HITL in Cambridge employer: Apex Systems
Contact Detail:
Apex Systems Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Research Platform Engineer - ML Evaluation & HITL in Cambridge
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those working in machine learning or software engineering. A friendly chat can lead to opportunities you might not find on job boards.
✨Tip Number 2
Show off your skills! Create a GitHub repository showcasing your Python projects and any machine learning experiments you've done. This gives potential employers a taste of what you can do before they even meet you.
✨Tip Number 3
Prepare for interviews by brushing up on common technical questions related to ML and Python. Practising coding challenges can also help you feel more confident when it’s time to shine.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of resources to help you land that Research Platform Engineer role, and applying directly can give you an edge over the competition.
We think you need these skills to ace Research Platform Engineer - ML Evaluation & HITL in Cambridge
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your Python engineering skills and any experience you have with machine learning. We want to see how your background aligns with the role, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're excited about the Research Platform Engineer position and how your skills can contribute to our Community Library Creator platform. Keep it engaging and personal.
Showcase Your Collaboration Skills: Since this role involves a mix of on-site and remote work, highlight any past experiences where you've successfully collaborated with teams. We value inclusivity and teamwork, so let us know how you thrive in diverse environments!
Apply Through Our Website: We encourage you to apply directly through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at Apex Systems
✨Know Your Python Inside Out
Make sure you brush up on your Python skills before the interview. Be ready to discuss your past projects and how you've used Python in machine learning experimentation. They’ll likely want to see your problem-solving approach, so think of examples where you’ve tackled challenges using Python.
✨Familiarise Yourself with Machine Learning Concepts
Since this role focuses on ML evaluation, it’s crucial to understand key concepts and methodologies in machine learning. Prepare to talk about your experience with different algorithms, data analysis techniques, and any relevant tools you’ve used. This will show that you’re not just a coder but also a thinker in the ML space.
✨Emphasise Collaboration Skills
Given the emphasis on collaboration in an inclusive environment, be prepared to share examples of how you’ve worked effectively in teams. Highlight any experiences where you’ve contributed to group projects or facilitated discussions, especially in remote settings. This will demonstrate that you can thrive in their hybrid work model.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions! Inquire about the Community Library Creator platform, the team dynamics, or how they measure success in ML projects. This shows your genuine interest in the role and helps you gauge if the company is the right fit for you.