Job roles: Machine Learning Engineer
Experience level: Mid, Senior
Employment type: Permanent
Remote working: Hybrid, Remote (~ monthly office visits)
In the words of the team, you should leave your current role for this one because….
"As an ML Engineer in our team, you'll get to dive into the world of cutting edge technology. We are a group of friendly and creative individuals pushing the boundaries in ML. If you are passionate about making a real-world impact and thriving in a vibrant, innovative environment, this is the place for you."
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 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. Our team’s vision is to pioneer an advanced ML platform, centralising the operation of all OVO’s ML models. Our goal is to empower our company and data scientists with superior ML-driven solutions. Whether we are tackling climate change or another complex challenge, we strive to make a difference. Be part of this transformative journey with us.
This role in a nutshell:
As an ML Engineer in our team, your role will be instrumental in developing and maintaining our sophisticated ML platform. You will collaborate on various projects, including developing or deploying Plan to Zero models, translating complex data into ML-driven solutions. This role is an opportunity to leverage ML for a sustainable future while pushing the boundaries of technology.
Your key outcomes will be:
- Building and enhancing our ML platform to enable the smooth operation of ML models.
- Implement MLOps best practices to improve the development, deployment and monitoring of ML models.
- Providing advice and guidance on ML best practices and general software engineering.
- Collaborating with cross-functional teams to understand their ML needs and implement solutions.
Within your first 3 months month you’ll:
- Gain a comprehensive understanding of our ML platform and associated ML best practices.
- Begin collaborating on various projects, providing insights and advice on ML best practices and software engineering guidelines.
- Contribute to the development and enhancing of our ML platform.
- Mentoring and educating other teams about effective ML practices and MLOps strategies.
Systems: GCP services (BigQuery, Cloud Composer, DataForm, VertexAI, etc), GitHub, DataRobot.
You’ll be a successful ML Engineer here at OVO if you:
- Have experience in developing ML models and building training/validation/test datasets.
- Have experience in cloud infrastructure provisioning, configuration management across the MLOps architecture (including CI/CD pipelines) and database systems.
- Feel confident in Python and SQL.
- Have a strong understanding of software testing and continuous integration.
- Have proven ability to deliver high-quality data and software engineering projects end-to-end, translating into true commercial impact within a business.
- Have exposure to ML methodologies and best practices.
- Have excellent presentation and communication skills - able to articulate results clearly and concisely to senior stakeholders. Ability to consult with, and sometimes challenge, teams of differing levels of data engineering knowledge.
- Can spot opportunities for data and machine learning engineering, and support conversations regarding 'buy or build your own' decisions.
- Feel enthusiastic about working with different teams and in diverse projects.
You won’t like this role if you:
- Prefer strict guidelines over navigating ambiguity and uncertainty.
- Feel uncomfortable taking the lead or making key decisions.
- Prefer working within a single team rather than collaborating with multiple teams simultaneously.
Company Benefits
Brilliant benefits for a world-changing team
Our people are at the heart of Plan Zero. That’s why we offer plenty of green benefits and progressive policies to make you feel at home.
For starters, you’ll get 34 days of holiday (including bank holidays).Then there’s Flex Pay. It’s an extra 9% of your salary on top of your core pay to use as you like. You can take it as cash, add to your pension, or choose to spend it on a huge range of flex benefits.
Here’s a taster of what’s on offer:
- 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, gadget, travel and cyber insurance, workplace ISA, will writing services, DNA testing, dental insurance, and more
- For your lifestyle - With extra holiday buying, discount dining, culture cards, tech loans, and supporting your favourite charities with give-as-you-earn donations
- For your home - Get up to £300 off any OVO Energy plan (when you pay by Direct Debit), plus personal carbon offsetting and great discounts on 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.
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 apply. We’d still love to hear from you!
Interview Process
- 15-20 mins Recruitment Phone Screen
1st Stage (Remote)
- 1 Hour Interview with Hiring Manager
2nd Stage (Remote)
- 1 Hour Pair Programming
- 1 Hour System Design