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- Tasks: Join OVO as a Senior Machine Learning Engineer to develop cutting-edge AI solutions for their contact center.
- Company: OVO Group is a leading energy tech company focused on clean, affordable energy and sustainability.
- Benefits: Enjoy a competitive salary, flexible working, 34 days holiday, and a cash flex fund for various perks.
- Why this job: Be part of a mission-driven team pushing the boundaries of technology for a sustainable future.
- Qualifications: Experience in deploying production-grade models, fluency in Python, SQL, and Terraform required.
- Other info: No visa sponsorship available; we welcome diverse applicants even if you don't meet every requirement.
The predicted salary is between 64000 - 92000 £ per year.
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. The Senior Machine Learning Engineer will 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:
• 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
• Developing and maintaining training, evaluation, and deployment pipelines for AI, including tasks like Retrieval-Augmented Generation (RAG), fine-tuning, and large language models (LLMs)
• Working with data scientists to design and implement feedback loops, online and offline evaluation methods, and A/B testing for continuous model improvement
• Owning the observability, cost management, performance, training and evaluation of modes to ensure reliable and efficient deployments
• Bringing ML expertise to shape the team’s target architecture, design pipelines and help define robust development processes
SYSTEMS THEY’RE USING: GCP services (BigQuery, Cloud Composer, DataFarm, VertexAI, etc), GitHub, Python
ESSENTIAL SKILLS & EXPERIENCE :
• Demonstrated experience with deploying production-grade models with rigorous standards for scalability, reliability, and monitoring
• Experience in repeatable cloud infrastructure provisioning, configuration management across the MLOps 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 ML Engineer in a collaborative team
BONUS POINTS FOR:
• 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
If you tick most but not all of the requirements, we would still love to hear from you!
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
Please note that OVO are unable to offer visa sponsorship at this time.
Higher - AI recruitment | Senior Machine Learning Engineer - Gen AI employer: Higher - AI recruitment
Contact Detail:
Higher - AI recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Higher - AI recruitment | Senior Machine Learning Engineer - Gen AI
✨Tip Number 1
Familiarize yourself with the specific technologies mentioned in the job description, such as GCP services and Python. Having hands-on experience or projects that showcase your skills in these areas will make you stand out.
✨Tip Number 2
Highlight any previous experience you have in deploying production-grade models, especially in a collaborative environment. Be ready to discuss how you contributed to team projects and the impact of your work.
✨Tip Number 3
Prepare to demonstrate your understanding of MLOps practices, including CI/CD pipelines and cloud infrastructure provisioning. Being able to articulate your approach to these processes will show your readiness for the role.
✨Tip Number 4
Since communication is key in this role, practice explaining complex ML concepts in simple terms. This will help you convey your ideas effectively during interviews, especially to stakeholders with varying levels of technical knowledge.
We think you need these skills to ace Higher - AI recruitment | Senior Machine Learning Engineer - Gen AI
Some tips for your application 🫡
Understand the Role: Make sure to thoroughly read the job description for the Senior Machine Learning Engineer position at OVO Group. Understand the primary responsibilities and essential skills required, as this will help you tailor your application.
Highlight Relevant Experience: In your CV and cover letter, emphasize your experience with deploying production-grade models, cloud infrastructure provisioning, and your fluency in Python, SQL, and Terraform. Use specific examples to demonstrate your expertise.
Showcase Collaboration Skills: Since the role involves working in a cross-functional team, highlight any previous experiences where you collaborated with data scientists, software engineers, or other stakeholders. This will show that you can thrive in a team environment.
Tailor Your Application: Customize your cover letter to reflect your passion for clean energy and how your skills align with OVO's mission. Mention any relevant projects or experiences that demonstrate your commitment to sustainability and innovation in AI.
How to prepare for a job interview at Higher - AI recruitment
✨Showcase Your Technical Expertise
Be prepared to discuss your experience with deploying production-grade models and MLOps architecture. Highlight specific projects where you implemented CI/CD pipelines or worked with cloud services like GCP, as this aligns closely with the role's requirements.
✨Demonstrate Collaboration Skills
Since you'll be working in a cross-functional team, share examples of how you've successfully collaborated with data scientists and software engineers in the past. Emphasize your ability to communicate complex technical concepts clearly to non-technical stakeholders.
✨Prepare for Problem-Solving Questions
Expect questions that assess your problem-solving skills, particularly in relation to AI model training and evaluation. Be ready to discuss how you would approach challenges like designing feedback loops or optimizing model performance.
✨Express Your Passion for Sustainability
OVO Group is focused on creating a sustainable future. Share your enthusiasm for clean energy and how your work in machine learning can contribute to this mission. This will help demonstrate your alignment with the company's values.
