At a Glance
- Tasks: Research and develop cutting-edge machine learning algorithms, focusing on NLP and computer vision.
- Company: Join an industry-leading software company based in Cambridge with a strong track record in graduate training.
- Benefits: Enjoy a competitive salary, flexible remote work options, and a supportive team environment.
- Other info: Inclusive recruitment process; we welcome diverse applicants and provide necessary adjustments.
- Why this job: Work on exciting projects that shape the future of machine learning and AI technology.
- Qualifications: Ph.D. in Computer Science, Physics, Maths or similar; expertise in LLMs and NLP required.
The predicted salary is between 43200 - 72000 £ 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 – 3 days in office, 2 days remote
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 a 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)
Responsibilities for Machine Learning Research Engineer:
- 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
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 Researcher - NLP / LLM in Cambridge employer: RedTech Recruitment
Join a dynamic and innovative defence AI firm in Saffron Walden, where you will play a crucial role in shaping the company culture and driving impactful HR practices. With a strong emphasis on collaboration and employee growth, this fast-paced environment offers unique opportunities for professional development and the chance to make a meaningful contribution to the company's success.
StudySmarter Expert Advice🤫
We think this is how you could land Machine Learning Researcher - NLP / LLM in Cambridge
✨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, 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. Contributing to discussions or sharing your insights can help you build a reputation in the field and may even catch the attention of recruiters from companies like us.
✨Tip Number 3
Stay updated on the latest research papers and advancements in NLP and LLMs. Being knowledgeable about recent breakthroughs will not only prepare you for technical interviews but also demonstrate your passion and commitment to the field.
✨Tip Number 4
Consider working on personal projects or contributing to open-source initiatives that involve NLP or Machine Learning. This hands-on experience can showcase your skills and creativity, making you a more attractive candidate when applying through our website.
We think you need these skills to ace Machine Learning Researcher - NLP / LLM in Cambridge
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 cover letter that specifically addresses the job description. Mention your interest in the role, your expertise in LLMs and NLP, and how your skills align with the company's goals. Be sure to convey your enthusiasm for cutting-edge research.
Showcase Relevant Projects:If you've worked on projects involving large data sets or have experience in software engineering concepts, include these in your application. Highlight any prototypes or research concepts you've developed that relate to the responsibilities of the role.
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, which is crucial in a research-oriented position.
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
Make sure you can talk confidently about your coding experience, particularly in Python. Be ready to discuss any projects where you've worked with large datasets or implemented machine learning algorithms.
✨Understand the Company’s Vision
Research the company’s current projects and future goals in machine learning. This will help you align your answers with their objectives and show that you're genuinely interested in contributing to their success.
✨Prepare for Problem-Solving Questions
Expect to face technical questions that assess your problem-solving abilities. Practice explaining your thought process clearly, as this will showcase your analytical skills and ability to tackle complex challenges.
