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 through 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: Expertise in ML projects, Python programming, and cloud platforms required.
- Other info: Collaborate in a diverse environment with opportunities for mentorship and growth.
The predicted salary is between 74000 - 105600 £ per year.
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.
Senior 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 Senior 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 discussions during interviews with their goals, showcasing your passion for making a difference.
✨Tip Number 2
Highlight your experience in cross-collaboration by preparing examples of past projects where you worked with diverse teams. This will demonstrate your adaptability and communication skills, which are key qualities for this role.
✨Tip Number 3
Stay updated on the latest trends in machine learning and AI technologies. Being able to discuss recent advancements or tools during your interview can set you apart as a knowledgeable candidate who is eager to contribute to OVO's innovative environment.
✨Tip Number 4
Prepare to discuss your mentoring experiences and how you've guided others in technical projects. OVO values leadership and the ability to foster an inclusive team environment, so showcasing these skills will be beneficial.
We think you need these skills to ace Senior Machine Learning Engineer (AI Platform)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in machine learning and AI. Focus on projects where you've led technical initiatives, showcasing your adaptability and communication skills as mentioned in the job description.
Craft a Compelling Cover Letter: In your cover letter, express your passion for tackling climate change through technology. Mention specific examples of how your previous work aligns with OVO's mission and the role's requirements, particularly in designing and deploying ML solutions.
Showcase Technical Skills: Clearly outline your proficiency in programming languages like Python and ML frameworks such as TensorFlow or PyTorch. Include any experience with cloud platforms and ML pipelines to demonstrate your technical expertise.
Highlight Collaborative Experience: Since the role emphasises teamwork, provide examples of past collaborations with cross-functional teams. Discuss how you communicated complex technical concepts to non-technical stakeholders, reinforcing your strong communication traits.
How to prepare for a job interview at OVO Energy
✨Showcase Your Technical Skills
As a Senior Machine Learning Engineer, it's crucial to demonstrate your expertise in programming languages like Python and ML frameworks such as TensorFlow or PyTorch. Be prepared to discuss specific projects where you've successfully implemented these technologies.
✨Emphasise Collaboration
Since the role involves working with multi-functional teams, highlight your experience in cross-collaboration. Share examples of how you've effectively communicated complex technical concepts to both technical and non-technical team members.
✨Stay Updated on ML Trends
The field of machine learning is constantly evolving. Make sure to mention any recent trends, tools, or technologies you've been following. This shows your commitment to continuous learning and innovation, which is essential for this role.
✨Demonstrate Leadership and Mentoring
This position requires strong leadership skills. Be ready to discuss your experience in mentoring others and driving technical direction within a team. Share specific instances where you've guided colleagues in best practices or innovative solutions.