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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 2024 and early 2025. There are several vacancies forSeniorSoftware Engineersacross the data org, all of whom will harness AI to improve customer interactions and outcomes.
As aSenior Software Engineerat OVO, you could find yourself in one of the following teams:
Operations AI (OpsAI):In the OpsAI team, you will drive the future of customer interaction and risk prevention at OVO, leveraging predictive modeling and generative AI to mitigate financial risk, reduce complaints, and enhance customer experience. You will play a key role in developing and integrating large language models (LLMs), contributing to the architecture, tooling, and overall strategy within a multi-skilled AI squad to deliver innovative solutions that maximise customer satisfaction while improving operational efficiency.
Advanced Virtual Agent (AVA):In the AVA team, you will build the future of customer interaction and automation, harnessing AI to improve customer outcomes whilst increasing operational efficiency. You will play a leading role in the development of LLMs, contributing to the team’s architecture and tooling.
RESPONSIBILITIES INCLUDE:
- Integrating AI models, including generative AI, into core software services and workflows across customer-facing platforms
- Building reusable API interfaces and UI components to enable cross-domain integration of AI capabilities
- Supporting the design and implementation of fully scalable, cloud-native architecture on GCP
- Designing, developing and maintaining scalable AI solutions that seamlessly integrate into existing systems
- Performing both batch and real-time data transformations to ensure accurate and efficient data pipelines for machine learning and analytics
- Contributing to architecture decisions with a strong focus on system design and scalability
- Advocating for and implementing CI/CD, infrastructure as code, and automated testing to ensure reliable production releases
- Establishing best practices for monitoring, alerting, and continuous improvement within the team
- Working in an Agile multi-disciplinary team where you will have the opportunity to influence technology selection
- Mentoring junior team members, including interns, to build strong engineering skills
- Collaborating with key stakeholders to deliver AI-powered solutions that align with business goals and customer needs
ESSENTIAL SKILLS & EXPERIENCE
- A strong track record of designing, building, monitoring, and managing large-scale data products, pipelines, tooling, and platforms
- You’re a highly motivated learner who loves keeping up to date with the latest advances in GenAI (bonus points for hands-on experience)
- Hands-on experience developing cloud-based solutions across GCP, AWS, or Azure, with a command of IaC tools, such as Terraform and cloud compute platforms like GCP Cloud Run
- Server-side development and a strong understanding of multi-server architectures, databases (especially PostgreSQL and BigQuery) and DevOps (building CI/CD pipelines, Terraform, Kubernetes)
- Excellent command of at least one programming language, preferably Python
- A deep understanding of engineering best practices, including containerisation and CI/CD
- Experience of MLOps, model training, evaluation and deployment
- Passion for crafting scalable, resilient solutions that are observable. Experience with platforms such as Datadog or Grafana will be useful
- You’re comfortable working in an agile development setting with frequent release cycles, paired with experience in pair programming, TDD, CI/CD and strategic deployment approaches
BONUS POINTS FOR
- Solid experience with streaming and batch ETL solutions using data processing tools like Kafka, Pub-Sub, VertexAI, BigQuery, Dataform, Postgres, or comparable technologies
If you tick most but not all of the requirements, wed still love to hear from you!
COMPENSATION/BENEFITS:
- Competitive salary range of £55-103k (dependent on experience and seniority) plus 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
Please note that OVO are unable to offer visa sponsorship for this role, now or in the future.
Seniority level
Employment type
Job function
- Engineering and Information Technology
- Industries
- Utilities and Services for Renewable Energy
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