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- Tasks: Design and deploy innovative machine learning solutions to tackle climate challenges.
- Company: Join OVO, a forward-thinking company dedicated to solving the climate crisis.
- Benefits: Competitive salary, flexible benefits, 34 days holiday, and a supportive work environment.
- Why this job: Make a real impact on the planet while advancing your career in AI.
- Qualifications: Expertise in machine learning, programming skills, and a passion for collaboration.
- Other info: Be part of an inclusive team with excellent growth opportunities.
The predicted salary is between 74000 - 105600 £ per year.
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:
- 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.
- Mentor, and drive technical direction for machine learning engineering, and data science colleagues building innovative AI solutions.
- 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 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 Senior Machine Learning Engineer at OVO if you…
- Experience leading technical ML projects.
- Excellent production-level programming skills in Python; other languages are a plus.
- Proficiency in ML frameworks, 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.
- Deep understanding of ML principles, monitoring, security, and data preprocessing techniques.
- Familiarity with software engineering practices, such as software testing, design patterns, CI/CD, version control, containerisation, infrastructure as code/Terraform; knowledge of Kubernetes is a plus.
- Excellent leadership and mentoring skills.
- 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 £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) in Bristol 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) in Bristol
✨Tip Number 1
Network like a pro! Get out there and connect with people in the industry. Attend meetups, conferences, or even local events related to machine learning. You never know who might be looking for someone just like you!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your machine learning projects. Whether it's a GitHub repo or a personal website, having tangible examples of your work can really set you apart from the crowd.
✨Tip Number 3
Prepare for those interviews! Research common machine learning interview questions and practice your answers. Be ready to discuss your past projects and how they relate to the role at OVO. Confidence is key!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you're genuinely interested in being part of the OVO mission to tackle climate change.
We think you need these skills to ace Senior Machine Learning Engineer (AI Platform) in Bristol
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 can contribute to our mission at OVO.
Showcase Teamwork Experience: Since collaboration is key for us, share examples of how you've worked in multi-functional teams. Highlight any mentoring experiences too, as we value leadership and inclusivity in our workplace.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets the attention it deserves, and you’ll find all the details you need there!
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 ML frameworks like TensorFlow and PyTorch, and be ready to discuss your experience with Google Cloud Platform services. Prepare to explain how you've designed and deployed ML pipelines in production environments.
✨Showcase Your Collaboration Skills
This role emphasises cross-collaboration, so be prepared to share examples of how you've worked with multi-functional teams. Highlight your communication skills and how you've aligned machine learning initiatives with business goals. Think of specific projects where your teamwork made a difference.
✨Demonstrate Adaptability
Adaptability is key in this fast-paced environment. Be ready to discuss times when you've had to pivot or adjust your approach based on new information or challenges. This will show that you can thrive in a dynamic setting and contribute to OVO's mission effectively.
✨Prepare Questions That Matter
Interviews are a two-way street! Prepare thoughtful questions about OVO’s AI platform, their approach to tackling climate change, and how they foster an inclusive team environment. This not only shows your interest but also helps you gauge if the company aligns with your values.
