Senior Machine Learning Engineer (AI Platform)
Senior Machine Learning Engineer (AI Platform)

Senior Machine Learning Engineer (AI Platform)

London Full-Time 74000 - 105600 £ / year (est.) No home office possible
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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:

  • 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 month 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) employer: OVO Energy

    At OVO Energy, we pride ourselves on being an exceptional employer, offering a vibrant work culture that champions collaboration and innovation. As a Senior Machine Learning Engineer in London, you'll not only contribute to pioneering AI solutions aimed at tackling climate change but also enjoy extensive benefits including 34 days of holiday, flexible pay options, and a commitment to diversity and inclusion through our Belonging Networks. Join us in making a meaningful impact while advancing your career in a supportive environment that values your growth and well-being.
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    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)

    Expertise in Machine Learning frameworks (e.g., scikit-learn, XGBoost, TensorFlow, PyTorch)
    Production-level programming skills in Python
    Experience with Cloud platforms (e.g., Google Cloud Platform, AWS, Azure)
    Designing and deploying ML pipelines in production environments
    Knowledge of MLOps principles and practices
    Familiarity with software engineering practices (e.g., CI/CD, version control, containerisation)
    Strong leadership and mentoring abilities
    Excellent communication skills for technical and non-technical audiences
    Problem-solving skills in collaborative environments
    Understanding of data preprocessing techniques and ML principles
    Experience with GitHub and version control systems
    Knowledge of Kubernetes and infrastructure as code (e.g., Terraform)
    Adaptability to new technologies and trends in machine learning

    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.

    Senior Machine Learning Engineer (AI Platform)
    OVO Energy
    Location: London
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    • Senior Machine Learning Engineer (AI Platform)

      London
      Full-Time
      74000 - 105600 £ / year (est.)
    • O

      OVO Energy

      1000+
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