Machine Learning Engineer

Role OVO-View

Team: ML Engineering

Salary banding: 50000 - 72000

Experience: Mid-level

Working pattern: Full-Time

Reporting to: Delivery & Growth Lead

Sponsorship: 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

Where youll work:

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.

Youll 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.

Everyone belongs at OVO

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

Teamworking for the planet

Everything we do here spins around Plan Zero. So naturally the team youll be joining plays a gigantic role in making that happen. Heres how:

Our teams vision is to pioneer a sophisticated AI platform centralising the operation of all OVOs ML models. 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.

This role in a nutshell:

As a Machine Learning Engineer youll play a key role in turning data into meaningful impact. Youll design build and deploy machine learning models into production helping shape scalable and reliable ML systems that power smarter decisions across the business. Working closely with cross-functional teams youll optimise model performance improve data preprocessing and feature engineering and continuously enhance the accuracy and efficiency of our models. This is a hands-on role where youll bring innovation collaboration and curiosity together to help OVO deliver smarter more sustainable technology.

Your key outcomes will be:

• Deploy and maintain reliable high-performing machine learning models in production.
• Design build and optimise efficient ML pipelines to support scalable model delivery.
• Continuously improve model performance through thoughtful experimentation and hyperparameter tuning.
• Strengthen the reliability and scalability of OVOs ML systems.
• Enhance data preprocessing and feature engineering to boost model accuracy and efficiency.

Youll be a successfulMachine Learning Engineer at OVO if you

• 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.
• 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

Lets talk about whats in it for you

Well pay you between 50000 and 72000 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.

Youll 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 OVOand theres flex pay. Well 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 weve put at the heart of our offering add to your pension or even take it as cash.

Heres a taster of whats on offer:

For starters youll 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

Want to hear about our full range of flexible benefits and progressive people policies Our People Team can tell you everything you need to know.

For your Belonging

To find better ways to support our people we need to listen to each others 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. Its up to you.

Oh and one last thing...

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

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