At a Glance
- Tasks: Join a dynamic team to prototype and implement cutting-edge AI solutions.
- Company: Luminance is a leading UK AI company revolutionising the legal sector with advanced technology.
- Benefits: Enjoy an inclusive workplace, opportunities for growth, and the chance to work on impactful projects.
- Other info: Enthusiasm is key; apply even if your experience isn't a perfect match!
- Why this job: Be part of a prestigious company recognised for innovation and excellence in AI.
- Qualifications: Strong analytical skills and a background in AI or related fields are essential.
The predicted salary is between 36000 - 60000 £ per year.
This is a fantastic opportunity to join market-leading UK AI company, Luminance. Named in Tech Nation’s prestigious Future Fifty list and the recipient of two Queen’s Awards, Luminance is the world’s most advanced AI technology which is disrupting the legal profession. Luminance is looking for dedicated and enthusiastic individuals with a strong academic background in Artificial Intelligence or a related field to join their R&D team based in Cambridge, UK.
Successful candidates will be part of a small, dynamic team responsible for:
- Prototyping, building and implementing new approaches to AI problems
- Determining output quality, efficiency, and feasibility compared with other techniques in a data-driven manner
This role is open to both graduates with a willingness to learn the desired skills, and more senior candidates with proven, prior experience in them. If you are excited about this role but your skill or experience doesn’t perfectly align with the job description, we encourage you to apply anyway. At Luminance we are dedicated to building and promoting an inclusive workplace where everyone can flourish. You might just be who we’re looking for, for this role or another – enthusiasm is by far the most important requirement for any applicant to Luminance!
Desired Skills
- Strong analytical skills and ability to approach tasks in a scientific manner
- Data science skills, including handling of large data sets, modelling and evaluation
- Good understanding of software engineering concepts, particularly with machine learning development
- Experience with machine learning Python frameworks such as PyTorch, Tensorflow and Scikit-Learn
- For more senior candidates: Understanding of, including published work within, related academic fields such as NLP, Computer Vision or Deep Learning
- Relevant industry experience with demonstrable impact in a commercial setting
- Significant practical usage of modern ML areas (NLP, Transformers, LLMs, NER, GANs, Reinforcement Learning, etc.)
Requirements
- Master’s degree or Postgraduate (preferred) qualification from a Top 200 Global University, preferably in a technical subject
Machine Learning Research Engineer in Cambridge employer: Luminance
Luminance is an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration in the heart of Cambridge. With a commitment to employee growth, we provide ample opportunities for professional development while working on cutting-edge AI solutions that impact the legal industry globally. Join us to be part of a forward-thinking team that values your expertise and encourages meaningful contributions to our prestigious client base.
StudySmarter Expert Advice🤫
We think this is how you could land Machine Learning Research Engineer in Cambridge
✨Tip Number 1
Familiarise yourself with Luminance's technology and its applications in the legal profession. Understanding how their AI solutions are disrupting traditional practices will help you articulate your enthusiasm and fit for the role during any discussions.
✨Tip Number 2
Engage with the AI community by attending relevant meetups, webinars, or conferences. Networking with professionals in the field can provide insights into current trends and challenges, which you can reference in conversations with Luminance.
✨Tip Number 3
Showcase your passion for machine learning by working on personal projects or contributing to open-source initiatives. This hands-on experience not only enhances your skills but also demonstrates your commitment to the field when speaking with the team at Luminance.
✨Tip Number 4
Prepare thoughtful questions about Luminance's R&D processes and future projects. This shows your genuine interest in the company and allows you to engage in meaningful discussions that highlight your analytical skills and enthusiasm for the role.
We think you need these skills to ace Machine Learning Research Engineer in Cambridge
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your academic background in Artificial Intelligence or related fields. Emphasise any relevant projects, internships, or experiences that showcase your analytical skills and familiarity with machine learning frameworks like PyTorch or TensorFlow.
Craft a Compelling Cover Letter:In your cover letter, express your enthusiasm for the role and the company. Mention specific aspects of Luminance's work that excite you and how your skills align with their needs. Don’t hesitate to share your willingness to learn if you don’t meet every requirement.
Showcase Relevant Skills:Clearly outline your data science skills and experience with handling large datasets. If you have worked on projects involving NLP, Computer Vision, or Deep Learning, make sure to include these details to demonstrate your practical knowledge.
Proofread Your Application:Before submitting, carefully proofread your application materials. Check for any spelling or grammatical errors, and ensure that all information is clear and concise. A polished application reflects your attention to detail and professionalism.
How to prepare for a job interview at Luminance
✨Showcase Your Analytical Skills
Prepare to discuss specific examples of how you've approached problems analytically. Be ready to explain your thought process and the scientific methods you used in previous projects, especially those involving data science.
✨Demonstrate Your Technical Proficiency
Familiarise yourself with the machine learning frameworks mentioned in the job description, such as PyTorch and TensorFlow. Be prepared to discuss your experience with these tools and any relevant projects where you've applied them.
✨Highlight Relevant Experience
If you have prior industry experience, make sure to highlight it during the interview. Discuss specific projects where you made a significant impact, particularly in areas like NLP or Computer Vision, as this will resonate well with the interviewers.
✨Express Enthusiasm for Learning
Since Luminance values enthusiasm, be sure to convey your eagerness to learn and grow within the role. Share examples of how you've pursued new skills or knowledge in the past, and express your excitement about the opportunity to contribute to their innovative team.
