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For Companies At a Glance
- Tasks: Join our team to develop and deploy innovative machine learning products.
- Company: We're an IoT innovator focused on sustainable technology across the UK and EU.
- Benefits: Enjoy a competitive salary, generous leave, and a flexible hybrid work environment.
- Why this job: Be part of a passionate team delivering paradigm-changing technology with social impact.
- Qualifications: MSc/MSci in a quantitative field; strong Python and machine learning skills required.
- Other info: Flexible start date and opportunities for growth in a collaborative setting.
The predicted salary is between 36000 - 60000 £ per year.
Job Description
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.
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
Familiarize yourself with the latest trends in machine learning and IoT technologies. This will not only help you understand our products better but also allow you to discuss innovative ideas during the interview.
✨Tip Number 2
Engage with the data science community by attending meetups or webinars focused on machine learning and algorithm development. Networking with professionals in the field can provide valuable insights and potentially lead to referrals.
✨Tip Number 3
Prepare to showcase your problem-solving skills by working on real-world projects or contributing to open-source initiatives. Having concrete examples of how you've tackled complex datasets or developed algorithms will impress us.
✨Tip Number 4
Demonstrate your enthusiasm for continuous learning by sharing any recent courses, certifications, or personal projects related to machine learning. This shows your commitment to growth and aligns with our culture of learning.
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 the emphasis on developing machine learning products and working with large datasets.
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.
Showcase Your Curiosity: Express your intellectual curiosity in your application. Mention any additional learning experiences, courses, or projects that showcase your eagerness to expand your knowledge in machine learning and related fields.
Tailor Your Application: Customize your cover letter to reflect your understanding of the company's mission and how your skills align with their goals. Discuss your enthusiasm for contributing to a sustainable future through innovative technology.
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. Bring examples of projects where you've applied these skills, especially those involving large datasets.
✨Demonstrate Problem-Solving Abilities
Expect questions that assess your analytical thinking. Be ready to explain how you approach complex problems and the methodologies you use to develop scalable algorithmic solutions.
✨Highlight Your Collaborative Spirit
Since the role emphasizes teamwork, share experiences where you've successfully collaborated with others. Discuss how you contribute to a positive team environment and adapt to different working styles.
✨Express Your Intellectual Curiosity
Convey your eagerness to learn and grow in the field. Talk about recent developments in machine learning that excite you and how you stay updated with industry trends.
