Machine Learning Research Engineer

Knauf Energy Solutions; Greater London; Hybrid; GBP 30,000 - 60,000; Full time

Job summary

An innovative firm is seeking a Machine Learning Research Engineer to join their Data Science and AI Team. In this role, you will leverage your strong software engineering and machine learning skills to develop cutting-edge algorithms that address real-world challenges. You will collaborate with a talented team to create scalable solutions that have a positive environmental impact. This position offers a unique opportunity to work with large datasets and contribute to the development of technology that shapes a sustainable future. If you are passionate about machine learning and eager to learn, this is the perfect chance to make a difference.

Benefits

Generous annual leave allowance

Excellent benefits package

Salary sacrifice car scheme

Qualifications

• Strong knowledge of Python and machine learning frameworks.
• Experience in collating, cleaning, and visualizing datasets.

Responsibilities

• Develop machine learning products from conception to deployment.
• Work with large datasets to solve complex engineering problems.

Skills

Python

Machine Learning

Data Analysis

Statistical Analysis

Communication Skills

Education

MSc/MSci in Mathematics

MSc/MSci in Computer Science

MSc/MSci in Physics

PhD in a highly quantitative field

Tools

Machine Learning Libraries

Data Visualization Tools

Job description

Direct message the job poster from Knauf Energy Solutions

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

Seniority level

• Entry level

Employment type

• Full-time

Job function

• Engineering and Information Technology