Machine Learning Engineer - Hybrid

OVO Group is a leading energy technology company determined to create a world with clean, affordable energy for everyone. Since launching in 2009, they have welcomed over a million members, planted a million trees, and set their sights on helping save the planet. They are on a mission to change energy for the better, including driving progress towards the target of net zero carbon living. With investment from their new CTO, OVO are transforming the data organisation with multiple hires across the board. The Senior Machine Learning Engineer will play a key part in developing OVO’s advanced ML platform as part of the Machine Learning Team. This team’s goal is to empower the company and its data scientists with superior ML-driven solutions. The Senior Machine Learning Engineer will play an instrumental role in developing and maintaining OVO’s sophisticated ML platform. Your expertise will drive the delivery of innovative AI-powered features, ensuring OVO Energy remains a leader in providing seamless and tailored experiences for their customers. This role is an opportunity to leverage ML for a sustainable future while pushing the boundaries of technology. Building and enhancing the ML platform to enable the smooth operation of ML models • Implementing MLOps best practices to improve the development, deployment and monitoring of ML models (including NLP models and GenAI) • 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 Gain a comprehensive understanding of OVO’s ML platform and associated ML best practices • Begin collaborating on various projects, providing insight and advice on ML best practices and software engineering guidelines • Contribute to the development and enhancement of the ML platform • Mentor and educate other teams about effective ML practices and MLOps strategies Experience developing ML models and building training/validation/test datasets • Experience in repeatable cloud infrastructure provisioning, configuration management across the MLOps architecture (including CI/CD pipelines) and database systems • Fluency in Python and SQL • Strong understanding of software testing and continuous integration • Proven ability to deliver high-quality data and software engineering projects endto-end, translating into true commercial impact within a business • Exposure to ML methodologies and best practices • Ability to spot opportunities for data and machine learning engineering, and support conversation regarding ‘buy or build your own’ decisions • Enthusiastic about working with different teams and on diverse projects COMPENSATION/BENEFITS: • Competitive salary range of £64K-92k based on experience • On-target bonus of 15% • 34 days holiday including bank holidays • Pension matching up to 5% • Flexible working as standard • Enhanced parental leave policies • 9% cash flex fund which can be used towards a variety of benefits (pension top-up, annual leave top-up, gym memberships, healthcare cash plan, workplace ISA, etc.) • OVO community – opportunities for L&D and community involvement