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- Tasks: Research and develop cutting-edge machine learning concepts in NLP and AI.
- 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 dynamic team pushing the boundaries of machine learning technology.
- 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 43200 - 72000 £ 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 and comprehensive benefits
Requirements for Machine Learning Research Engineer:
- You will have a Ph.D from a world-leading University in 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
Responsibilities for Machine Learning Research Engineer:
- 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
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
Applications:
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.
We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
Machine Learning Research Engineer - NLP / LLM in Cambridge employer: RedTech Recruitment Ltd
Contact Detail:
RedTech Recruitment Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Machine Learning Research Engineer - NLP / LLM in Cambridge
✨Network Like a Pro
Get out there and connect with folks in the industry! Attend meetups, conferences, or even online webinars related to machine learning and NLP. 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 link or any published papers when you chat with potential employers. It’s a great way to demonstrate your expertise!
✨Ace the Interview
Prepare for technical interviews by brushing up on your machine learning concepts and coding skills. Practice explaining your research and how it applies to real-world problems. Confidence is key, so get ready to shine!
✨Apply Through Our Website
Don’t forget to apply through our website for the best chance at landing that Machine Learning Research Engineer role. We’re eager to see your application and help you kickstart your career in this exciting field!
We think you need these skills to ace Machine Learning Research Engineer - NLP / LLM in Cambridge
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!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about machine learning and how your background makes you a perfect fit for our team. We love hearing about your unique perspective and ideas.
Showcase Your Projects: If you've worked on any interesting projects or research, make sure to include them! We’re keen to see examples of your work with Python frameworks like PyTorch or TensorFlow, as well as any innovative approaches you've taken in your research.
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It helps us keep everything organised and ensures your application gets the attention it deserves. Plus, we can’t wait to hear from you!
How to prepare for a job interview at RedTech Recruitment Ltd
✨Know Your Stuff
Make sure you brush up on your knowledge of classic machine learning and NLP. Be prepared 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
Bring examples of your work with Python frameworks like PyTorch or TensorFlow. If you've prototyped any research concepts or worked with large datasets, be ready to talk about the challenges you faced and how you overcame them.
✨Understand the Company’s Vision
Research the company’s latest projects and their approach to machine learning. Understanding their goals will help you align your answers with what they’re looking for, showing that you’re genuinely interested in contributing to their success.
✨Ask Insightful Questions
Prepare thoughtful questions about the team’s current research focus or future projects. This not only shows your enthusiasm but also helps you gauge if the company is the right fit for you. Plus, it’s a great way to demonstrate your critical thinking skills!
