Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Research and develop cutting-edge machine learning concepts in NLP and LLM.
- Company: Industry-leading software company based in Cambridge with a strong track record.
- Benefits: Highly competitive salary, comprehensive benefits, and flexible working arrangements.
- Why this job: Join a team at the forefront of AI innovation and make a real impact.
- Qualifications: Ph.D. in Computer Science, Physics, Maths or related field with NLP focus.
- Other info: Inclusive recruitment process with excellent career development opportunities.
The predicted salary is between 36000 - 60000 £ per year.
An incredible opportunity for a Machine Learning Research Engineer to work on researching and investigating new concepts for an industry-leading, machine-learning software company in Cambridge, UK. This unique opportunity is ideally suited to those with a Ph.D. relating to classic Machine Learning and Natural Language Processing and its application to an ever-advancing technical landscape. On a daily basis you will be working on the very cutting-edge of machine-learning including prototyping, building and implementing new approaches to AI problems.
Location: Cambridge – 3 days in office / 2 days remote
Salary: Highly competitive salary + comprehensive benefits
Requirements for Machine Learning Research Engineer- You will have a Ph.D from a world-leading University in a Computer Science, Physics, Maths or similar (we are very keen to hear from those with a Ph.D. directly related to NLP)
- Experience weighted more towards classic machine learning than AI Engineering
- Strong 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
- Experience with machine learning Python frameworks such as PyTorch, Tensorflow and Scikit-Learn
- Data Science experience including working with large data sets
- Join a team responsible for investigating the latest research in machine learning algorithms – largely within the NLP field along 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 ML Engineer 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 Research Engineer - NLP / LLM in Norwich employer: RedTech Recruitment
Contact Detail:
RedTech Recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Machine Learning Research Engineer - NLP / LLM in Norwich
✨Network Like a Pro
Get out there and connect with folks in the industry! Attend meetups, conferences, or even online webinars related to NLP and machine learning. You never know who might have a lead on your dream job!
✨Show Off Your Skills
Create a portfolio showcasing your projects, especially those involving LLMs and NLP. Share your GitHub or any published papers during interviews to demonstrate your expertise and passion for the field.
✨Ace the Interview
Prepare for technical interviews by brushing up on your machine learning concepts and coding skills. Practice common interview questions and be ready to discuss your research and how it applies to real-world problems.
✨Apply Through Our Website
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love hearing from passionate candidates like you!
We think you need these skills to ace Machine Learning Research Engineer - NLP / LLM in Norwich
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to highlight your experience in NLP and machine learning. We want to see how your Ph.D. and any published papers relate directly to the role, so don’t hold back on showcasing your relevant skills!
Showcase Your Projects: Include any projects or research that demonstrate your expertise in LLMs and NLP. We love seeing practical applications of your knowledge, so share those cool prototypes or algorithms you've worked on!
Be Clear and Concise: When writing your application, keep it clear and to the point. We appreciate well-structured applications that make it easy for us to see your qualifications and passion for the role.
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity. We can’t wait to hear from you!
How to prepare for a job interview at RedTech Recruitment
✨Know Your Stuff
Make sure you brush up on your knowledge of classic machine learning and NLP. Be ready to discuss your Ph.D. research in detail, especially any published papers. This is your chance to showcase your expertise, so don’t hold back!
✨Showcase Your Projects
Prepare to talk about specific projects you've worked on, particularly those involving Python frameworks like PyTorch or TensorFlow. Highlight how you approached problems, the techniques you used, and the outcomes. Real-world examples will make you stand out.
✨Ask Insightful Questions
Interviews are a two-way street! Prepare thoughtful questions about the company’s current projects in NLP and machine learning. This shows your genuine interest and helps you gauge if the role aligns with your career goals.
✨Be Ready for Technical Challenges
Expect some technical questions or even coding challenges during the interview. Practise common algorithms and data structures, and be prepared to explain your thought process clearly. This will demonstrate your problem-solving skills and technical acumen.