At a Glance
- Tasks: Design, build, and deploy machine learning solutions that drive business value.
- Company: Join OVO Energy, a leader in tackling the climate crisis with innovative AI solutions.
- Benefits: Enjoy flexible pay, 34 days holiday, and a range of health and lifestyle perks.
- Why this job: Be part of a mission-driven team making a real impact on climate change.
- Qualifications: Strong Python skills, experience with ML frameworks, and cloud platforms required.
- Other info: Collaborate in a diverse environment and contribute to inclusive workplace initiatives.
The predicted salary is between 43000 - 62000 £ per year.
Machine Learning Engineer (AI Platform)
Role OVO-View
Team: ML Engineering
Salary banding: £50,000 – £72,000
Experience: Mid-level
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 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.
Y our 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 Machine Learning Engineer at OVO if you…
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.
Machine Learning Engineer (AI Platform) employer: OVO Energy
Contact Detail:
OVO Energy Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Machine Learning Engineer (AI Platform)
✨Tip Number 1
Familiarise yourself with OVO's mission and values, especially their focus on climate change and sustainability. This will help you align your answers during interviews and demonstrate your passion for their goals.
✨Tip Number 2
Network with current employees or alumni who work at OVO. Engaging in conversations about their experiences can provide valuable insights into the company culture and expectations, which you can leverage during your application process.
✨Tip Number 3
Stay updated on the latest trends in machine learning and AI technologies. Being able to discuss recent advancements or tools relevant to the role will showcase your commitment to continuous learning and innovation.
✨Tip Number 4
Prepare to discuss your experience with collaborative projects. Since teamwork is crucial for this role, having specific examples ready will highlight your adaptability and communication skills, making you a more attractive candidate.
We think you need these skills to ace Machine Learning Engineer (AI Platform)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience and skills that align with the job description. Focus on your programming skills in Python, familiarity with ML frameworks, and any experience with cloud platforms like Google Cloud.
Craft a Compelling Cover Letter: In your cover letter, express your passion for machine learning and how it relates to OVO's mission of tackling climate change. Mention specific projects or experiences that demonstrate your adaptability and communication skills.
Showcase Technical Skills: Include specific examples of your technical skills in your application. Detail your experience with ML pipelines, software engineering practices, and any tools you’ve used, such as GitHub or Kubernetes.
Highlight Collaborative Experience: Since teamwork is crucial for this role, emphasise any past experiences where you collaborated with cross-functional teams. Describe how you communicated complex concepts to both technical and non-technical team members.
How to prepare for a job interview at OVO Energy
✨Showcase Your Technical Skills
Be prepared to discuss your programming skills in Python and any other languages you know. Highlight your experience with machine learning frameworks like TensorFlow or PyTorch, and be ready to explain how you've used them in past projects.
✨Demonstrate Adaptability and Collaboration
Since the role emphasises cross-collaboration, share examples of how you've successfully worked with multi-functional teams. Discuss how you adapt to different team dynamics and contribute to a positive team environment.
✨Stay Updated on ML Trends
Research the latest trends and technologies in machine learning before your interview. Being knowledgeable about current advancements will show your passion for the field and your commitment to continuous learning.
✨Communicate Clearly
Practice explaining complex technical concepts in simple terms. This is crucial as you'll need to communicate effectively with both technical and non-technical team members. Clear communication can set you apart from other candidates.