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- 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 dynamic team pushing the boundaries of AI technology and innovation.
- 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
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.
Machine Learning Research Engineer - NLP / LLM 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
✨Tip Number 1
Network like a pro! Reach out to your connections in the machine learning field, especially those who are already working in NLP or LLM. A friendly chat can lead to insider info about job openings that aren't even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects related to NLP and machine learning. This could be anything from research papers to GitHub repositories. It’s a great way to demonstrate your expertise beyond just your CV.
✨Tip Number 3
Prepare for interviews by brushing up on the latest trends in machine learning and NLP. Be ready to discuss your research and how it applies to real-world problems. We want to see your passion and knowledge shine through!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love hearing from candidates who are genuinely interested in joining our innovative team.
We think you need these skills to ace Machine Learning Research Engineer - NLP / LLM
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 seeing enthusiasm and a clear understanding of the role.
Showcase Your Projects: If you've worked on any interesting projects or research related to NLP or LLMs, make sure to mention them! We’re keen to see practical applications of your skills, so include links or descriptions of your work.
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 get all the updates directly from us. Plus, it’s super easy!
How to prepare for a job interview at RedTech Recruitment
✨Know Your Stuff
Make sure you brush up on your knowledge of NLP and LLMs. Be ready to discuss your Ph.D. research in detail, especially how it relates to classic machine learning. This is your chance to showcase your expertise!
✨Showcase Your Projects
Prepare to talk about any relevant projects you've worked on, particularly those involving Python frameworks like PyTorch or TensorFlow. Highlight your experience with large datasets and how you've tackled challenges in your previous work.
✨Stay Current
Research the latest trends and breakthroughs in machine learning and NLP. Being able to discuss recent papers or advancements will demonstrate your passion for the field and your commitment to staying at the cutting edge.
✨Ask Insightful Questions
Prepare thoughtful questions about the company's current projects and future directions in machine learning. This shows your genuine interest in the role and helps you assess if the company aligns with your career goals.
