At a Glance
- Tasks: Join a leading AI company to innovate and disrupt the legal profession with machine learning.
- Company: Luminance, a top UK AI firm recognised for its groundbreaking technology.
- Benefits: Inclusive workplace, opportunities for growth, and a chance to work on cutting-edge projects.
- Other info: Open to graduates and experienced candidates; your passion matters most!
- Why this job: Be part of a team that values enthusiasm and creativity in AI development.
- Qualifications: Strong analytical skills and a background in AI or related fields.
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 team and determine 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.)
- Master’s degree or Postgraduate (preferred) qualification from a Top 200 Global University, preferably in a technical subject
Machine Learning Research Engineer employer: Luminance Technologies Ltd
Luminance is an exceptional employer, offering a dynamic work environment in Central London where innovation meets collaboration. With a strong focus on employee growth, we provide a generous learning and development budget, alongside comprehensive benefits such as health insurance from Day 1, enhanced parental policies, and paid sabbaticals. Join us to be part of a pioneering team that values creativity and empowers you to make a meaningful impact in the world of AI-driven legal solutions.
Contact Details:
Luminance Technologies Ltd Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Machine Learning Research Engineer
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Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Luminance Technologies Ltd.
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We think you need these skills to ace Machine Learning Research Engineer
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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Craft a Tailored Cover Letter:For a full-time role at Luminance Technologies Ltd, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Luminance Technologies Ltd. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Luminance Technologies Ltd
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
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Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Luminance Technologies Ltd!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
