Machine Learning Engineer (m/w/d)

Job Description

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.

Teamworking for the planet

Everything we do here spins around Plan Zero. So, naturally, the team you’ll be joining plays a gigantic role in making that happen. Here’s how:

Our team’s 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, you will work closely with fellow machine learning engineers to design, build, and deploy machine learning solutions that drive business value. To do this, you will develop new features, and functionalities on the OVO AI Platform, which is used by engineers, and data scientists as a foundation to deliver their AI models, and use cases.

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

• Help architect, design, and deploy new features, and functionality on the OVO AI Platform to enable users to deliver high-quality machine learning, and artificial intelligence models at scale
• Team up with multi-functional teams, including product managers, software developers, and business analysts, to align machine learning initiatives with business goals.
• Stay up-to-date with the latest ML trends, tools, and technologies to ensure the team’s technical approach is innovative.
• Foster an inclusive team environment where everyone feels valued and excited to contribute.
• Communicate optimally with collaborators to explain concepts and drive informed decision making.

Within your first 3 months month you’ll

• Gain a comprehensive understanding of our AI platform and associated MLOps principles.
• Begin collaborating on various projects, providing insights and advice on ML standard processes and software engineering guidelines.
• Contribute to the development and enhancing our systems
• Guide and educate other teams about effective ML practices and MLOps strategies.

Systems

Google Cloud Platform services (Vertex AI), GitHub

You’ll be a successful Machine 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

Let’s talk about what’s in it for you

We’ll pay you between £50,000 and £72,000, 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

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 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.

Oh, and one last thing...

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.