Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Develop machine learning products from conception to deployment in a collaborative team.
- Company: Join Knauf Energy Solutions, an IoT innovator focused on sustainable technology.
- Benefits: Enjoy generous annual leave and an excellent benefits package, including a salary sacrifice car scheme.
- Why this job: Be part of a passionate team delivering paradigm-changing technology with positive environmental impact.
- Qualifications: MSc/MSci in a quantitative field; strong Python and machine learning skills required.
- Other info: This role is hybrid, based in London, with opportunities for growth and learning.
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.
Do you have the following skills, experience and drive to succeed in this role Find out below.
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.
Flexible start date
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 using Machine Learning on large datasets
- 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
- Competitive salary
- Generous annual leave allowance, excellent benefits package including salary sacrifice car scheme
Machine Learning Research Engineer employer: Knauf Energy Solutions
Contact Detail:
Knauf Energy Solutions Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Machine Learning Research Engineer
✨Tip Number 1
Make sure to familiarize yourself with the latest trends in machine learning and IoT technologies. This will not only help you understand the company's products better but also allow you to engage in meaningful conversations during your interactions with the team.
✨Tip Number 2
Reach out to current or former employees on LinkedIn to gain insights into the company culture and the specific challenges they face. This can provide you with valuable context that you can use to tailor your discussions with the hiring team.
✨Tip Number 3
Prepare to discuss your experience with large datasets and any relevant projects you've worked on. Be ready to explain your thought process and the methodologies you used, as this will demonstrate your analytical skills and problem-solving abilities.
✨Tip Number 4
Show your enthusiasm for continuous learning and collaboration. Highlight any experiences where you've worked in teams or taken the initiative to learn new technologies, as this aligns well with the company's values and the role's requirements.
We think you need these skills to ace Machine Learning Research Engineer
Some tips for your application 🫡
Understand the Role: Make sure to thoroughly read the job description for the Machine Learning Research Engineer position. Understand the key responsibilities and required skills, especially focusing on machine learning proficiency and software engineering expertise.
Highlight Relevant Experience: In your CV and cover letter, emphasize any experience you have with Python, machine learning libraries, and working with complex datasets. Provide specific examples of projects or research that demonstrate your analytical skills and ability to solve difficult problems.
Show Your Passion for Learning: Convey your enthusiasm for learning and contributing to a culture of innovation. Mention any relevant courses, certifications, or personal projects that showcase your intellectual curiosity and eagerness to expand your knowledge in machine learning and data science.
Tailor Your Application: Customize your application materials to reflect the values and goals of Knauf Energy Solutions. Highlight how your skills and experiences align with their mission to develop technology for a sustainable future and your interest in working in a collaborative environment.
How to prepare for a job interview at Knauf Energy Solutions
✨Showcase Your Technical Skills
Be prepared to discuss your experience with Python and machine learning libraries. Highlight specific projects where you've applied these skills, especially in handling large datasets or developing algorithms.
✨Demonstrate Problem-Solving Abilities
Expect questions that assess your analytical thinking. Prepare examples of complex problems you've solved, focusing on your approach to research and the methodologies you used to arrive at solutions.
✨Express Your Intellectual Curiosity
Convey your eagerness to learn and grow within the field. Discuss any recent developments in machine learning or IoT that excite you, and how you plan to stay updated with industry trends.
✨Understand the Company’s Vision
Familiarize yourself with Knauf Energy Solutions' mission and values, particularly their focus on sustainability and innovative technology. Be ready to discuss how your goals align with theirs and how you can contribute to their vision.
