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- Tasks: Develop and refine machine learning models for real-world applications.
- Company: Advanced tech organisation in Cambridge with a focus on innovation.
- Benefits: Hybrid work model, competitive salary, 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: Collaborative environment with a focus on research and engineering.
The predicted salary is between 36000 - 60000 £ per year.
Location: Cambridge (hybrid)
Type: Permanent
Security Clearance: Eligibility required
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 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. No visa sponsorship available.
Machine Learning Engineer employer: IC Resources
Contact Detail:
IC Resources Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Machine Learning Engineer
✨Tip Number 1
Network like a pro! Reach out to professionals in the machine learning field on LinkedIn or at local meetups. 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. Whether it’s a GitHub repo or a personal website, let us see what you can do with Python and those modern ML frameworks.
✨Tip Number 3
Prepare for technical interviews by brushing up on your problem-solving skills. Practice coding challenges and be ready to discuss your thought process. We want to see how you tackle those open-ended technical problems!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who take the initiative to connect directly with us.
We think you need these skills to ace Machine Learning Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your machine learning experience and relevant projects. We want to see how your skills align with the role, so don’t be shy about showcasing your Python expertise and any hands-on work you've done with ML frameworks.
Craft a Compelling Cover Letter: Your cover letter is your chance to tell us why you’re the perfect fit for this role. Share your passion for tackling complex problems and how your background in STEM equips you for the challenges ahead. Keep it engaging and personal!
Showcase Your Projects: If you’ve worked on any interesting ML projects or prototypes, make sure to mention them! We love seeing real-world applications of your skills, so include links or descriptions that demonstrate your problem-solving abilities.
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 makes the process smoother for both of us!
How to prepare for a job interview at IC Resources
✨Know Your ML Foundations
Make sure you brush up on your machine learning fundamentals. Be ready to discuss key concepts, algorithms, and frameworks you've worked with. This will show that you have a solid understanding of the field and can apply it to real-world problems.
✨Showcase 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. Practise coding challenges related to machine learning 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 ambiguous scenarios. This will help you convey your problem-solving abilities and adaptability, which are key for this position.
✨Collaborate and Communicate
Since the role involves working with engineers and researchers, be prepared to discuss how you collaborate in a team setting. Share examples of past projects where teamwork was essential, and highlight your communication skills to show you can effectively share ideas and solutions.
