Machine Learning Researcher

Machine Learning Researcher

Cambridge Full-Time 60000 - 84000 Β£ / year (est.) No home office possible
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At a Glance

  • Tasks: Research and develop cutting-edge machine learning algorithms in NLP and Computer Vision.
  • Company: Join RedTech Recruitment, a leader in connecting STEM talent with top tech roles.
  • Benefits: Enjoy a competitive salary up to Β£100,000 and flexible remote work options.
  • Why this job: Be part of an innovative team shaping the future of AI technology.
  • Qualifications: Ph.D. in Computer Science, Physics, or Maths with a strong interest in Machine Learning.
  • Other info: Inclusive recruitment process; we value diversity and welcome all applicants.

The predicted salary is between 60000 - 84000 Β£ per year.

A brilliant opportunity for a Machine Learning Research Engineer to work on researching and investigating new concepts for industry-leading, machine-learning software in Cambridge, UK. This unique opportunity is ideally suited to those with a Ph.D. relating to Machine Learning who have a keen interest in Natural Language Processing and Computer Vision and its application to an ever-advancing technical landscape.

Location: Cambridge – remote initially, but office due to return in coming months

Salary: Up to Β£100,000 depending on experience

Requirements for Machine Learning Research Engineer:

  • A Ph.D. from a world-leading University in a Computer Science, Physics or Maths with a keen demonstrable interest in Machine Learning / AI
  • Excellent academics throughout including a minimum of a 2.1 degree from a leading university, AAB at A-Level
  • Published papers
  • Good understanding of software engineering concepts
  • Ability to code in Python
  • Experience working with large data sets (desirable)

Responsibilities for Machine Learning Research Engineer:

  • Join a small team responsible for investigating the latest research in machine learning algorithms – largely within the NLP and Computer Vision fields
  • Make suggestions based on the feasibility of research to help shape future projects and products
  • Prototyping research concepts
  • Determining output quality, efficiency, and feasibility compared with other techniques

What this offers:

  • Working for an industry-leading software company who have a fantastic track record of successfully hiring and training graduates
  • Highly interesting work researching the next phases of cutting-edge, machine-learning software
  • A good remuneration and benefits package

If you would like to apply for this unique opportunity, we would love to hear from you. Please send an up-to-date CV via the relevant link. We’re committed to creating an inclusive and accessible recruitment process. If you require reasonable adjustments for your application or during the review process, please highlight this by emailing.

Machine Learning Researcher employer: RedTech Recruitment

RedTech Recruitment is an exceptional employer, offering a dynamic work environment in the heart of Cambridge, where innovation meets collaboration. With a strong commitment to employee development, you will have access to cutting-edge projects in machine learning and AI, alongside a competitive salary and benefits package. The company fosters a culture of inclusivity and diversity, ensuring that every team member feels valued and empowered to contribute to groundbreaking advancements in technology.
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Contact Detail:

RedTech Recruitment Recruiting Team

StudySmarter Expert Advice 🀫

We think this is how you could land Machine Learning Researcher

✨Tip Number 1

Network with professionals in the machine learning field, especially those who have experience in NLP and Computer Vision. Attend relevant conferences or webinars to connect with potential colleagues and mentors who can provide insights into the industry and possibly refer you to opportunities.

✨Tip Number 2

Engage with online communities and forums focused on machine learning, such as GitHub, Stack Overflow, or specific LinkedIn groups. Sharing your knowledge and participating in discussions can help you build a reputation and may lead to job referrals.

✨Tip Number 3

Stay updated on the latest research and advancements in machine learning, particularly in NLP and Computer Vision. Reading recent papers and articles will not only enhance your knowledge but also prepare you for insightful conversations during interviews.

✨Tip Number 4

Consider contributing to open-source projects related to machine learning. This hands-on experience can showcase your coding skills in Python and your ability to work with large datasets, making you a more attractive candidate for the role.

We think you need these skills to ace Machine Learning Researcher

Ph.D. in Computer Science, Physics or Mathematics
Strong understanding of Machine Learning concepts
Proficiency in Python programming
Experience with Natural Language Processing (NLP)
Knowledge of Computer Vision techniques
Ability to work with large data sets
Research skills and experience in publishing papers
Software engineering principles
Prototyping and algorithm development
Analytical thinking and problem-solving skills
Effective communication skills for collaboration
Adaptability to evolving technologies

Some tips for your application 🫑

Tailor Your CV: Make sure your CV highlights your Ph.D. and any relevant experience in Machine Learning, Natural Language Processing, and Computer Vision. Emphasise your published papers and any projects that showcase your coding skills in Python.

Craft a Strong Cover Letter: Write a cover letter that specifically addresses the job description. Mention your keen interest in the latest research in machine learning algorithms and how your background aligns with the responsibilities of the role.

Showcase Relevant Skills: In your application, clearly outline your understanding of software engineering concepts and your experience with large data sets. This will demonstrate your readiness for the technical challenges of the position.

Proofread Your Application: Before submitting, carefully proofread your CV and cover letter for any errors or typos. A polished application reflects your attention to detail and professionalism, which are crucial in the tech industry.

How to prepare for a job interview at RedTech Recruitment

✨Showcase Your Research

Be prepared to discuss your Ph.D. research in detail, especially any published papers. Highlight how your work relates to machine learning, NLP, and computer vision, as this will demonstrate your expertise and passion for the field.

✨Demonstrate Coding Skills

Since coding in Python is essential for this role, brush up on your programming skills. Be ready to solve coding problems or discuss your previous projects that involved large datasets, showcasing your software engineering understanding.

✨Understand the Company’s Focus

Research RedTech Recruitment and their approach to machine learning. Familiarise yourself with their recent projects and innovations in AI, as this knowledge will help you align your answers with their goals during the interview.

✨Prepare Questions

Have insightful questions ready about the team dynamics, ongoing projects, and future directions of the company. This shows your genuine interest in the role and helps you assess if it’s the right fit for you.

Machine Learning Researcher
RedTech Recruitment
Location: Cambridge

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