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For Companies Senior Machine Learning Engineer (AI Platform)
Role OVO-View
Team: ML Engineering
Salary banding: £74,000 – £105,600
Experience: Expert
Working pattern: Full-Time
Reporting to: AI Platform Tech 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 you’ll 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.
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.
Everyone belongs at OVO
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 Senior Machine Learning Engineer, you will focus on designing, building, and deploying 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:
Within your first 3 months month you’ll:
Systems: Google Cloud Platform services (Vertex AI), GitHub
You’ll be a successful Senior Machine Learning Engineer at OVO if you…
Let’s talk about what’s in it for you
We’ll pay you between £74,000 – £105,600, 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.
Contact Detail:
OVO Energy Recruiting Team
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Senior Machine Learning Engineer role. Highlight your experience with ML frameworks and cloud platforms, and don’t forget to showcase your adaptability and communication skills!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about tackling climate change through AI and how your technical skills align with our mission at OVO.
Showcase Collaboration Skills: Since this role involves cross-collaboration, be sure to mention any past experiences where you’ve worked with multi-functional teams. We love seeing how you can communicate complex ideas to both technical and non-technical folks!
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to see your application and get you on board to help us make a difference in the world.
How to prepare for a job interview at OVO Energy
✨Know Your Tech Inside Out
As a Senior Machine Learning Engineer, you’ll need to showcase your technical skills. Brush up on your knowledge of Python, ML frameworks like TensorFlow or PyTorch, and cloud platforms such as Google Cloud Platform. Be ready to discuss specific projects where you've applied these technologies.
✨Showcase Your Collaboration Skills
This role emphasises cross-collaboration, so be prepared to share examples of how you've worked with product managers, software developers, and data scientists. Highlight your adaptability and communication skills, and how they’ve helped you achieve project goals.
✨Prepare for Problem-Solving Questions
Expect questions that assess your problem-solving abilities. Think of scenarios where you faced challenges in ML projects and how you overcame them. Use the STAR method (Situation, Task, Action, Result) to structure your answers effectively.
✨Emphasise Your Mentoring Experience
Since mentoring is a key part of this role, be ready to discuss your experience guiding others in ML practices. Share specific instances where you’ve helped colleagues improve their skills or contributed to a more inclusive team environment.
