At a Glance
- Tasks: Develop and scale AI solutions for contact centres, driving innovation and customer experience.
- Company: Join OVO Energy, a leader in sustainable tech with a mission to tackle climate change.
- Benefits: Competitive salary, flexible working, and opportunities for professional growth.
- Other info: Dynamic work environment with excellent career advancement opportunities.
- Why this job: Be part of a transformative journey using AI to create a sustainable future.
- Qualifications: Experience in deploying AI solutions, strong Python skills, and a collaborative mindset.
The predicted salary is between 55000 - 65000 £ per year.
Role: OVO-View Team
Experience: Mid-Level
Working pattern: Full-Time
Reporting to: Delivery & Growth Lead
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.
Teamworking for the planet: We are building AI solutions in production, at scale. Our mission is to put AI at the heart of OVO’s operations. We are using AI to drive hyper-personalised experiences, and to help our advisors to spend time with customers who need them the most. Whether we are tackling climate change or another complex challenge, we aim to make a difference. Be part of this transformative journey with us.
This role in a nutshell: As an AI Engineer in our team, your role will be instrumental in developing and scaling our contact centre AI solution. You will work as an AI 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 our customers. This role is an opportunity to leverage AI for a sustainable future while pushing the boundaries of technology. These features could be chatbots to advisor support inferences.
Your key outcomes will be:
- Working closely within a cross-functional product team of Data Scientists, Software Engineers, and Data Engineers to build and scale our contact centre AI solution as the dedicated AI Engineer.
- Building Agentic AI solutions in production.
- Developing and maintaining the training, evaluation, deployment and operations of AI Agents. This includes tool calling, Retrieval-Augmented Generation (RAG), fine-tuning, and other usage of large language models (LLMs).
- Work with data scientists to design and implement feedback loops, online and offline evaluation methods, and A/B testing for continuous model improvement.
- Own the observability, cost management, performance, training, and evaluation of models to ensure reliable and efficient deployments.
- Bring AI expertise to shape our target architecture, design pipelines and help define robust development processes.
Systems: GCP (BigQuery, Cloud Composer, DataForm, VertexAI, etc), GitHub, Python (Langchain, Langgraph, FastAPI)
You’ll be a successful AI Engineer at OVO if you…
- Demonstrated experience with deploying production-grade AI inferences with rigorous standards for scalability, reliability, and monitoring.
- Experience in repeatable cloud infrastructure provisioning, configuration management across the AIOps architecture (including CI/CD pipelines) and database systems.
- Fluency in Python, SQL and Terraform.
- Strong understanding of software testing and continuous integration.
- Proven ability to deliver high-quality data and software engineering projects end-to-end, translating into true commercial impact within a business.
- 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.
- Background in software engineering with experience working as a dedicated AI Engineer in a collaborative team.
- Have proficiency with modern AI frameworks.
You’ll stand out if you have:
- Experience within the energy sector or contact centre operations.
- Commercial experience deploying and monitoring customer-facing Generative AI models (LLMs).
- Familiarity with Agentic AI for autonomous applications.
AI Engineer (AIX) in London employer: OVO
At OVO, we pride ourselves on being an exceptional employer, fostering a collaborative and innovative work culture that empowers our employees to make a meaningful impact on the planet. As an AI Engineer, you'll have the opportunity to work in a dynamic team environment across our inspiring hub offices in Bristol, Glasgow, or London, where we prioritise personal growth and development through hands-on experience with cutting-edge AI technologies. Join us in our mission to revolutionise energy solutions while enjoying a supportive atmosphere that values creativity and teamwork.
StudySmarter Expert Advice🤫
We think this is how you could land AI Engineer (AIX) in London
✨Tip Number 1
Network like a pro! Get out there and connect with folks in the industry. Attend meetups, workshops, or any OVO Connection events you can find. You never know who might be looking for an AI Engineer just like you!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI projects, especially those involving cloud infrastructure and Python. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice explaining complex AI concepts in simple terms, as you'll need to communicate effectively with both techies and non-techies at OVO.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in being part of the OVO team.
We think you need these skills to ace AI Engineer (AIX) in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the AI Engineer role. Highlight your experience with deploying production-grade AI solutions and any relevant projects you've worked on. We want to see how your skills align with our mission at OVO!
Showcase Your Skills:Don’t just list your skills; demonstrate them! Use specific examples of how you've used Python, SQL, or Terraform in past projects. This helps us understand your hands-on experience and how you can contribute to our team.
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Share your passion for AI and sustainability, and explain why you want to join OVO. We love seeing candidates who are genuinely excited about making a difference in the energy sector.
Apply Through Our Website:We encourage you to apply through our website for a smoother application process. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates from our team!
How to prepare for a job interview at OVO
✨Know Your AI Stuff
Make sure you brush up on your knowledge of AI frameworks and production-grade AI inferences. Be ready to discuss your experience with deploying AI solutions, especially in a contact centre context. Highlight any specific projects where you've made a significant impact.
✨Showcase Your Team Spirit
Since you'll be working in a cross-functional team, it's crucial to demonstrate your ability to collaborate. Prepare examples of how you've worked with data scientists, software engineers, and other stakeholders to deliver successful projects. Emphasise your communication skills and how you can articulate complex ideas clearly.
✨Get Familiar with the Tools
Familiarise yourself with the tools mentioned in the job description, like GCP, Python, and CI/CD pipelines. If you have experience with Terraform or SQL, be ready to discuss how you've used these in past projects. Showing that you can hit the ground running with their tech stack will impress the interviewers.
✨Prepare for Technical Questions
Expect some technical questions related to AI model evaluation, A/B testing, and performance monitoring. Brush up on your understanding of feedback loops and how they contribute to continuous model improvement. Being able to discuss these concepts confidently will show you're serious about the role.
