Senior Machine Learning Engineer

Unfortunately we are unable to offer sponsorship for this role.

This role in 3 words: Cross-collaboration, Design, Ownership

Top 3 qualities for this role: Adaptability, Communication, Technical Skill

Depending on the needs of your business area, we expect hub based people to be in the office at least once a week, and to go to OVO Connection events in-person. You’ll be assigned to the closest one of our three hub offices, Bristol, Glasgow, or London; unless your role requires field-based work. Each hub has accessible spaces to park your laptop, is designed to inspire people, help them connect and bring big ideas to life.

At OVO, we are on a mission to solve one of humanity's biggest challenges, the climate crisis. And we know it takes all of us to change the world. That’s why we need diverse people from all abilities, gender identities, ethnicities, ages, sexual orientations, life experiences and backgrounds to join us.

Our goal is to empower our company with superior AI solutions. Whether we are solving climate change or another sophisticated challenge, we aim to make a difference. Be part of this progressive journey with us.

As a Senior Machine Learning Engineer, you’ll play a key role in turning data into meaningful impact. You’ll design, build and maintain ML services, deploy models to them and support integration with other teams, helping shape scalable and reliable ML systems that power smarter decisions across the business. Working closely with cross-functional teams and OVO’s ML platform, you’ll optimise model performance, improve data processing, and continuously enhance the accuracy and efficiency of our models. This is a hands-on role where you’ll bring innovation, collaboration, and curiosity together to help OVO deliver smarter, more sustainable technology.

This is a great opportunity for someone who is motivated to drive ML advancements, and best practices across a business with wide-ranging impact, and loves working in collaborative, and supportive environments.

Your key outcomes will be:

• Deploy and maintain reliable, high-performing machine learning models in production, including development of a framework for robust model lifecycle management.
• Design, build and maintain APIs to serve ML models in production.
• Design, build, and optimise efficient ML pipelines to support scalable model delivery.
• Support data scientists to improve model performance through thoughtful experimentation and hyperparameter tuning.
• Strengthen the reliability and scalability of OVO’s ML systems.
• Enhance data preprocessing and feature engineering processes to boost model training and serving efficiency.

You’ll be a successful Senior Machine Learning Engineer at OVO if you have:

• Excellent production-level programming skills in Python, including experience with software testing (unit, integration, system), and knowledge of test-driven development; other languages are a plus.
• Proficiency in at least one ML framework, such as scikit-learn, XGBoost, Tensorflow, or PyTorch.
• Proficiency with Cloud platform(s), such as Google Cloud Platform, Amazon Web Services, or Azure.
• Experience in designing, and deploying ML pipelines in production environments; knowledge of Kubeflow Pipelines is a plus.
• Experience working with recommender systems is a plus.
• Good understanding of ML principles, monitoring, security, and data preprocessing techniques.
• Familiarity with software engineering practices, such as design patterns, CI/CD, version control, containerisation, infrastructure as code/Terraform; knowledge of Kubernetes is a plus.
• Strong communication traits, able to explain technical concepts to both technical and non-technical team members.
• Problem-solving demeanor, with the ability to excel in a collaborative, fast-paced environment.
• Open-mindedness, cultural sensitivity, and a commitment to fostering an inclusive workplace.

We’ll pay you between £64,000 - £92,000 depending on your specific skills and experience. We keep our pay ranges broad on purpose to give us, and you, flexibility to match your experience to our zero carbon mission. You’ll be eligible for an on-target bonus of 15%. We have one OVO bonus plan that focuses on the collective performance of our people to deliver our Plan Zero goal.

We also offer plenty of green benefits and progressive policies to help you feel like you belong at OVO…and there’s flex pay. We’ll give you 9% Flex Pay on top of your salary – 4% of this is auto enrolled into your pension, and the remaining 5% is yours to do what you like with. You can use this to buy from our extensive range of flexible benefits, including our green benefits which we’ve put at the heart of our offering, add to your pension or even take it as cash.

Here’s a taster of what’s on offer:

• For starters, you’ll get 34 days of holiday (including bank holidays).
• For your health: With benefits like a healthcare cash plan or private medical insurance depending on your career level, critical illness cover, life assurance, health assessments, and more.
• For your wellbeing: With gym membership, travel insurance, workplace ISA, will writing services, dental insurance, and more.
• For your lifestyle: With extra holiday buying, discount dining, home & tech loans, and supporting your favourite charities with give-as-you-earn donations.
• For your home: Get up to £400 towards any OVO Energy plan, plus great discounts on solar, smart thermostats and EV chargers.
• For your commute: Nab a great deal on ultra-low emission car leasing, plus our cycle to work scheme and public transport season ticket loans.

To find better ways to support our people, we need to listen to each other’s experiences and find ways to build a truly inclusive and diverse workplace. As part of this, we have 8 Belonging Networks at OVO. Led by our people, for our people - so when you join OVO, you can play a part - big or small - with any of the Networks. It’s up to you.

We’d be thrilled if you tick off all our boxes, yet we also believe it’s just as important we tick off all of yours. And if you think you have most of what we’re looking for but not every single thing, go ahead and hit apply. We’d still love to hear from you!

If you have any additional requirements, there’s a space to let us know on the application form; we want to make the process as easy and comfortable for you as possible.