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- Tasks: Develop machine learning products from conception to deployment in a collaborative team.
- Company: Join an IoT innovator focused on sustainable technology and virtual energy infrastructure.
- Benefits: Enjoy generous annual leave, hybrid work options, and a great benefits package.
- Why this job: Be part of a passionate team delivering paradigm-changing technology with positive social impact.
- Qualifications: MSc/MSci in a quantitative field; strong Python and machine learning skills required.
- Other info: Experience level ranges from 0-4 years; PhD is advantageous.
The predicted salary is between 36000 - 60000 £ per year.
Would you thrive in a fast-scaling business, solving novel problems in collaborative teams? Are you interested in developing machine learning products from conception to deployment? If so, you could be the person we are searching for. We are an IoT innovator working to scale our product deployments across the UK and EU. We are passionate about developing technology that will change paradigms and contribute to a sustainable future. We are building Virtual Energy Infrastructure using our world-leading machine learning algorithms.
We’re looking for a Machine Learning Research Engineer to work with us in our Data Science and AI Team. In this team, we build custom algorithms that use novel approaches to solve our business needs. You will be working with large, complex, and unique datasets to solve a wide range of difficult statistical, mathematical, and physical engineering problems. To achieve this, you will work with cutting-edge technologies in a highly collaborative environment.
Key to this role is the ability to envision and design new algorithm products while carefully considering the practicality of rollout, wider strategic implications, and any legal or ethical considerations – and then taking these products from conception to deployment. This will require strong software engineering expertise and excellent machine learning proficiency. The ideal candidate brings not just technical skills, but an intellectual curiosity and eagerness to expand their knowledge across diverse technical domains.
You will be working with an enthusiastic, agile and highly skilled team to deliver a paradigm-changing technology across Europe with a positive environmental and social impact. Our world-leading algorithmic products are at the core of our business, so as a part of the Data Science and AI Team, you will have a high level of exposure to the wider business. This role is based in our London office, near Liverpool Street (hybrid in-office and work-from-home).
Experience Level: Hiring at a range of experience levels; 0-4 years of experience.
We are looking for:
- MSc/MSci in a highly quantitative field (Mathematics, Computer Science, Physics, etc)
- Strong knowledge of Python and appropriate Machine Learning libraries and frameworks
- Strong analytical and communication skills
- Experience collating, cleaning and visualizing datasets
- Ability to work autonomously, conducting research and posing difficult questions in order to build scalable algorithmic solutions to hard problems from the ground up
- Enthusiasm to learn and contribute to a culture of learning
Advantageous:
- PhD (in a highly quantitative field)
What we offer:
- Generous annual leave allowance
- Excellent benefits package including salary sacrifice car scheme
Machine Learning Research Engineer employer: JR United Kingdom
Contact Detail:
JR United Kingdom Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Machine Learning Research Engineer
✨Tip Number 1
Familiarise yourself with the latest trends in machine learning and IoT technologies. Being able to discuss recent advancements or case studies during your interview can demonstrate your passion and knowledge in the field.
✨Tip Number 2
Network with professionals in the machine learning and data science community. Attend meetups, webinars, or conferences to connect with others in the industry, which could lead to valuable insights or referrals for the position.
✨Tip Number 3
Prepare to showcase your problem-solving skills through practical examples. Think of specific projects where you’ve developed algorithms or worked with complex datasets, as this will highlight your hands-on experience and analytical abilities.
✨Tip Number 4
Research our company’s mission and values, especially regarding sustainability and innovation. Being able to articulate how your personal values align with ours can make a strong impression during the interview process.
We think you need these skills to ace Machine Learning Research Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in machine learning, software engineering, and any quantitative fields. Emphasise projects or roles where you've developed algorithms or worked with large datasets.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the role and the company’s mission. Discuss specific experiences that demonstrate your problem-solving skills and ability to work collaboratively in a team.
Showcase Technical Skills: Clearly outline your proficiency in Python and any machine learning libraries you’ve used. Mention any relevant projects or research that showcase your analytical skills and ability to handle complex datasets.
Highlight Continuous Learning: Mention any courses, certifications, or self-directed learning you’ve undertaken in machine learning or related fields. This shows your intellectual curiosity and eagerness to grow, which is highly valued in this role.
How to prepare for a job interview at JR United Kingdom
✨Showcase Your Technical Skills
Be prepared to discuss your experience with Python and machine learning libraries. Bring examples of projects you've worked on, especially those involving complex datasets or novel algorithms, to demonstrate your technical proficiency.
✨Demonstrate Problem-Solving Abilities
Expect to face questions that assess your analytical thinking and problem-solving skills. Prepare to discuss how you approach difficult statistical or engineering problems, and be ready to outline your thought process in tackling these challenges.
✨Highlight Your Collaborative Spirit
Since the role involves working in a highly collaborative environment, share experiences where you successfully worked in teams. Emphasise your ability to communicate effectively and contribute to a positive team dynamic.
✨Express Your Intellectual Curiosity
The company values candidates who are eager to learn and expand their knowledge. Be sure to convey your enthusiasm for machine learning and related fields, and mention any recent topics or technologies you've explored that relate to the role.
