Machine Learning Engineer at OVO Energy

At OVO, we are dedicated to tackling the climate crisis, one of the most significant challenges facing humanity. We believe that changing the world requires a diverse team of people from all backgrounds, experiences, and perspectives. Our mission is centered around Plan Zero, and our Machine Learning Engineering team plays a vital role in this effort by building a sophisticated AI platform that centralizes our models to drive smarter, more sustainable technology solutions.

About the Role

We are looking for a Machine Learning Engineer to join our team on a full-time basis. In this mid-level role, you will be responsible for designing, building, and deploying machine learning models into production environments. You will work within a cross-functional team to optimize model performance and enhance our data pipelines, ensuring that our systems are both scalable and reliable as we work toward our zero-carbon goals.

Key Responsibilities

• Deploy and maintain high-performing machine learning models within a production environment.
• Design and build efficient, scalable ML pipelines to support the delivery of our models.
• Improve model accuracy and efficiency through continuous experimentation, hyperparameter tuning, and advanced feature engineering.

Requirements

To be successful in this role, you should possess the following qualifications and skills:

• Strong production-level programming skills in Python, including experience with software testing and test-driven development.
• Proficiency with at least one major machine learning framework, such as TensorFlow, PyTorch, scikit-learn, or XGBoost.
• Experience working with cloud platforms like Google Cloud Platform, AWS, or Azure.
• Knowledge of software engineering best practices, including CI/CD, containerization, and version control.
• The ability to communicate complex technical concepts clearly to both technical and non-technical stakeholders.
• A collaborative mindset and a commitment to fostering an inclusive work environment.

Location

This is a hybrid role based in the United Kingdom. You will be assigned to one of our three hubs in Bristol, Glasgow, or London, and we expect team members to be in the office at least once a week to connect and collaborate in person.

Compensation and Benefits

We offer a salary range of £50,000 to £72,000, depending on your experience and skills. In addition to your salary, you will receive a 9% Flex Pay allowance, which can be used for pension contributions, cash, or a variety of flexible benefits. We also provide an on-target bonus of 15% based on our collective performance.

Our benefits package includes:

• 34 days of holiday, including bank holidays.
• Medical, dental, and life insurance.
• A 401k-style pension scheme.
• Access to an employee assistance program and various wellness initiatives.
• Flexible working hours to support your work-life balance.