Applied ML Researcher for Real-World Systems in Cambridge
Applied ML Researcher for Real-World Systems

Applied ML Researcher for Real-World Systems in Cambridge

Cambridge Full-Time 28800 - 48000 Β£ / year (est.) No home office possible
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At a Glance

  • Tasks: Develop and implement machine learning models for real-world applications.
  • Company: Leading UK-based advanced technology organisation focused on innovation.
  • Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
  • Why this job: Join a cutting-edge team and solve complex problems with real-world impact.
  • Qualifications: Strong foundation in machine learning and experience with Python and ML frameworks.
  • Other info: Must be eligible for UK Security Clearance and have long-term residency rights.

The predicted salary is between 28800 - 48000 Β£ per year.

A UK-based advanced technology organisation is seeking a Machine Learning Researcher to bridge research and engineering in developing machine learning models for practical use. The ideal candidate will have a strong foundation in machine learning, hands-on experience with Python and ML frameworks, and the ability to work on complex, open-ended problems. Candidates must be eligible for UK Security Clearance and have long-term residency rights.

Applied ML Researcher for Real-World Systems in Cambridge employer: IC Resources

As a leading advanced technology organisation in the UK, we pride ourselves on fostering a collaborative and innovative work culture that empowers our employees to tackle complex challenges in machine learning. We offer competitive benefits, continuous professional development opportunities, and a supportive environment that encourages creativity and growth, making us an excellent employer for those looking to make a meaningful impact in the field of applied research.
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Contact Detail:

IC Resources Recruiting Team

StudySmarter Expert Advice 🀫

We think this is how you could land Applied ML Researcher for Real-World Systems in Cambridge

✨Tip Number 1

Network like a pro! Reach out to folks in the industry on LinkedIn or at meetups. We all know that sometimes it’s not just what you know, but who you know that can help you land that dream job.

✨Tip Number 2

Show off your skills! Create a portfolio showcasing your machine learning projects. We recommend including any real-world applications you've worked on, as this will demonstrate your ability to tackle complex problems.

✨Tip Number 3

Prepare for those interviews! Brush up on your technical knowledge and be ready to discuss your experience with Python and ML frameworks. We suggest doing mock interviews with friends or using online platforms to get comfortable.

✨Tip Number 4

Apply through our website! We make it super easy for you to find roles that match your skills. Plus, applying directly shows your enthusiasm and commitment to joining our team.

We think you need these skills to ace Applied ML Researcher for Real-World Systems in Cambridge

Machine Learning
Python
ML Frameworks
Problem-Solving Skills
Research Skills
Engineering Skills
Complex Systems Analysis
Security Clearance Eligibility

Some tips for your application 🫑

Show Off Your Skills: Make sure to highlight your strong foundation in machine learning and any hands-on experience you have with Python and ML frameworks. We want to see how your skills can bridge the gap between research and engineering!

Tackle Complex Problems: Since the role involves working on complex, open-ended problems, don’t shy away from sharing examples of challenges you've faced in the past. We love seeing how you approach problem-solving!

Tailor Your Application: Take a moment to tailor your application to the job description. Use keywords from the posting to show us that you understand what we’re looking for. It makes a big difference!

Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of applications and ensures you don’t miss out on any important updates!

How to prepare for a job interview at IC Resources

✨Know Your ML Fundamentals

Make sure you brush up on your machine learning fundamentals. Be prepared to discuss key concepts, algorithms, and their practical applications. This will show that you have a solid foundation and can bridge the gap between research and engineering.

✨Showcase Your Python Skills

Since hands-on experience with Python is crucial, be ready to demonstrate your coding skills. You might be asked to solve a problem on the spot or explain your previous projects. Practise coding challenges and be familiar with popular ML frameworks like TensorFlow or PyTorch.

✨Prepare for Open-Ended Questions

Expect complex, open-ended problems during the interview. Think about how you would approach these challenges and articulate your thought process clearly. Use examples from your past experiences to illustrate your problem-solving skills.

✨Understand Security Clearance Requirements

Since eligibility for UK Security Clearance is a must, be prepared to discuss your residency rights and any relevant background information. Familiarise yourself with the clearance process so you can confidently address any questions related to it.

Applied ML Researcher for Real-World Systems in Cambridge
IC Resources
Location: Cambridge
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  • Applied ML Researcher for Real-World Systems in Cambridge

    Cambridge
    Full-Time
    28800 - 48000 Β£ / year (est.)
  • I

    IC Resources

    50-100
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