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- Tasks: Develop and refine machine learning models for real-world applications.
- Company: Join a cutting-edge UK-based tech organisation focused on advanced machine learning.
- Benefits: Competitive salary, collaborative environment, and opportunities for professional growth.
- Why this job: Tackle complex problems and make a tangible impact in the tech world.
- Qualifications: Strong foundations in machine learning and hands-on Python experience required.
- Other info: Candidates must be eligible for UK Security Clearance and have long-term residency.
The predicted salary is between 36000 - 60000 £ per year.
IC Resources is partnering with a UK-based advanced technology organisation expanding its machine learning capability. The team works on non-trivial, real-world problems where ML is applied in technically challenging environments rather than consumer-facing products. This Machine Learning Researcher role sits between research and engineering, focusing on taking ML concepts and adapting them for practical use.
What you’ll do:
- Develop and refine machine learning models for applied use cases
- Work with complex or imperfect datasets
- Build prototypes and proof-of-concepts
- Collaborate with engineers and researchers across disciplines
What we’re looking for:
- Strong foundations in machine learning
- Hands-on Python experience with modern ML frameworks
- Comfortable working on open-ended technical problems
- Strong STEM background (degree or equivalent experience)
Security clearance:
Candidates must be eligible for UK Security Clearance. Long-term UK residency and right to work are required.
If you’re interested, then apply now! Otherwise, if you’re looking for any other roles in AI/ML, then reach out to Oscar Harper at IC Resources.
Machine Learning Researcher in Cambridge employer: IC Resources
Contact Detail:
IC Resources Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Machine Learning Researcher in Cambridge
✨Tip Number 1
Network like a pro! Reach out to professionals in the machine learning field on LinkedIn or at industry events. We can’t stress enough how valuable personal connections can be in landing that dream job.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your machine learning projects, prototypes, and any proof-of-concepts you've developed. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for technical interviews by brushing up on your Python skills and ML frameworks. We recommend practicing coding challenges and discussing your thought process out loud to demonstrate your problem-solving abilities.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, if you’re looking for other roles in AI/ML, reach out to Oscar Harper at IC Resources for more opportunities.
We think you need these skills to ace Machine Learning Researcher in Cambridge
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your strong foundations in machine learning and hands-on Python experience. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or experiences!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re excited about the Machine Learning Researcher role and how your background makes you a great fit. We love seeing genuine enthusiasm for the work we do.
Showcase Problem-Solving Skills: Since this role involves tackling open-ended technical problems, make sure to mention any experiences where you've successfully navigated complex challenges. We appreciate candidates who can think critically and adapt ML concepts for practical use.
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 – just a few clicks and you’re done!
How to prepare for a job interview at IC Resources
✨Know Your ML Fundamentals
Make sure you brush up on your machine learning foundations. Be ready to discuss key concepts, algorithms, and their applications in real-world scenarios. This will show that you have a solid grasp of the subject and can adapt theoretical knowledge to practical use.
✨Show Off Your Python Skills
Since hands-on Python experience is crucial for this role, prepare to demonstrate your coding skills. You might be asked to solve a problem or explain your approach to building a model using modern ML frameworks. Practise coding challenges beforehand to boost your confidence.
✨Prepare for Open-Ended Questions
Expect questions that require you to think critically about complex problems. Practice articulating your thought process when tackling open-ended technical challenges. This will help you showcase your problem-solving abilities and how you approach ambiguity.
✨Highlight Collaboration Experience
Collaboration is key in this role, so be ready to share examples of how you've worked with engineers and researchers in the past. Discuss any interdisciplinary projects you've been involved in, as this will demonstrate your ability to work effectively in a team environment.
