Senior Machine Learning Engineer - Gen AI

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.

The Tech org at OVO is entering an exciting growth phase, which includes hiring across all their data squads throughout the rest of 2024 and early 2025. TheSenior Machine Learning Engineerwill play a key part in developing OVO’s contact center AI solution, leveraging cutting-edge GenAI as the sole ML Engineer in a cross-functional, dedicated product team.

PRIMARY RESPONSIBILITIES:

The Senior Machine Learning Engineer will play an instrumental role in developing and scaling OVO’s contact center AI solution. You will work as the sole ML Engineer in a cross functional team. 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.

RESPONSIBILITIES INCLUDE:

1. Working collaboratively within a cross-functional product team of Data Scientists, Software Engineers, and Data Engineers to build and scale the contact center AI solution as the dedicated ML Engineer.
2. Developing and maintaining training, evaluation, and deployment pipelines for AI, including tasks like Retrieval-Augmented Generation (RAG), fine-tuning, and large language models (LLMs).
3. Working with data scientists to design and implement feedback loops, online and offline evaluation methods, and A/B testing for continuous model improvement.
4. Owning the observability, cost management, performance, training and evaluation of modes to ensure reliable and efficient deployments.
5. Bringing ML expertise to shape the team’s target architecture, design pipelines and help define robust development processes.

ESSENTIAL SKILLS & EXPERIENCE:

1. Demonstrated experience with deploying production-grade models with rigorous standards for scalability, reliability, and monitoring.
2. Experience in repeatable cloud infrastructure provisioning, configuration management across the MLOps architecture (including CI/CD pipelines) and database systems.
3. Fluency in Python, SQL and Terraform.
4. Strong understanding of software testing and continuous integration.
5. Proven ability to deliver high-quality data and software engineering projects end-to-end, translating into true commercial impact within a business.
6. 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.
7. Background in software engineering with experience working as a dedicated ML Engineer in a collaborative team.

BONUS POINTS FOR:

1. Experience within the energy sector or contact centre operations.
2. Commercial experience deploying and monitoring customer-facing Generative AI models (LLMs).
3. Familiarity with Agentic AI for autonomous applications.

If you tick most but not all of the requirements, we would still love to hear from you!

COMPENSATION/BENEFITS:

1. Competitive salary range of £64K-92k based on experience.
2. On-target bonus of 15%.
3. Pension matching up to 5%.
4. Flexible working as standard.
5. Enhanced parental leave policies.
6. 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.).
7. OVO community – opportunities for L&D and community involvement.

Please note that OVO are unable to offer visa sponsorship at this time.

Seniority level

Mid-Senior level

Employment type

Full-time

Job function

Engineering and Information Technology

Industries

Services for Renewable Energy and Utilities

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