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- Tasks: Research and develop cutting-edge machine learning algorithms in NLP and computer vision.
- Company: Join an industry-leading software company based in Cambridge, known for innovation and graduate training.
- Benefits: Enjoy a competitive salary up to £100,000 and a comprehensive benefits package.
- Why this job: Work on exciting projects that shape the future of machine learning in a collaborative environment.
- Qualifications: Ph.D. in Computer Science, Physics, Maths or similar; expertise in LLMs and NLP required.
- Other info: Remote work initially with plans to return to the office; inclusive recruitment process.
The predicted salary is between 60000 - 84000 £ 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 £100,000 depending on experience
Requirements for Machine Learning Research Engineer- A minimum of a degree, ideally a Ph.D., from a world-leading University in Computer Science, Physics, Maths or similar
- Expert knowledge in LLMs, NLP and 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)
- Join a small team responsible for investigating the latest research in machine learning algorithms – largely within the NLP field with some computer vision
- 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
- 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 - NLP / LLM employer: RedTech Recruitment
Contact Detail:
RedTech Recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Machine Learning Researcher - NLP / LLM
✨Tip Number 1
Network with professionals in the field of Machine Learning, especially those focused on NLP and LLMs. Attend relevant conferences or webinars to meet potential colleagues and learn about the latest trends and research, which can give you an edge in discussions during interviews.
✨Tip Number 2
Engage with online communities and forums related to Machine Learning and NLP. Platforms like GitHub or Stack Overflow can be great for showcasing your projects and contributions, which can impress hiring managers when they see your active involvement in the community.
✨Tip Number 3
Stay updated on the latest research papers and breakthroughs in NLP and LLMs. Being able to discuss recent advancements and how they could apply to the role will demonstrate your passion and knowledge during interviews.
✨Tip Number 4
Prepare to discuss your coding skills in Python and any experience you have with large datasets. Be ready to provide examples of past projects or research where you applied these skills, as practical experience is highly valued in this role.
We think you need these skills to ace Machine Learning Researcher - NLP / LLM
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your relevant experience in machine learning, NLP, and any published papers. Emphasise your academic achievements, especially if you have a Ph.D. or a strong background in Computer Science, Physics, or Maths.
Craft a Strong Cover Letter: Write a compelling cover letter that explains your passion for machine learning and NLP. Mention specific projects or research that align with the company's focus and how your skills can contribute to their goals.
Highlight Technical Skills: Clearly list your technical skills, particularly in Python and any experience with large datasets. If you have knowledge of software engineering concepts, make sure to include that as well.
Showcase Research Experience: If you have conducted research or have publications, summarise these experiences succinctly. Highlight how they relate to the role and demonstrate your ability to innovate in the field of machine learning.
How to prepare for a job interview at RedTech Recruitment
✨Showcase Your Research
Be prepared to discuss your previous research in detail, especially any published papers. Highlight how your work relates to NLP and LLMs, as this will demonstrate your expertise and passion for the field.
✨Demonstrate Technical Skills
Since coding in Python is essential for this role, be ready to showcase your programming skills. You might be asked to solve a problem or explain your approach to working with large datasets, so brush up on relevant algorithms and libraries.
✨Understand the Company’s Vision
Research StudySmarter and its projects in machine learning. Understanding their goals and how your skills can contribute will help you align your answers with their vision during the interview.
✨Prepare Questions
Have insightful questions ready about the team dynamics, ongoing projects, and future directions in NLP and machine learning. This shows your genuine interest in the role and helps you assess if it's the right fit for you.
