At a Glance
- Tasks: Design and deploy machine learning models while collaborating with data scientists.
- Company: Utility Warehouse Limited, a leader in innovative tech solutions.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Embrace ownership and innovation in a rapidly evolving industry.
- Why this job: Join a dynamic team and make an impact in the exciting field of AI.
- Qualifications: Experience in production ML environments and proficiency in Python, Docker, and Kubernetes.
The predicted salary is between 60000 - 80000 £ per year.
Utility Warehouse Limited is looking for a Machine Learning Engineer to serve as a bridge between data science research and scalable software. Responsibilities include designing and deploying models, collaboration with Data Scientists, and leading operational excellence.
The successful candidate will have experience in production ML environments and be proficient in tools such as Python, Docker, and Kubernetes. Join a dynamic team that values ownership and innovation in a rapidly evolving field.
Production ML Engineer: GenAI, RAG & Deployment employer: Utility Warehouse Limited
Utility Warehouse Limited is an exceptional employer that fosters a culture of innovation and collaboration, making it an ideal place for a Production ML Engineer. With a focus on employee growth and development, the company offers opportunities to work on cutting-edge projects in a supportive environment, all while being part of a dynamic team that values ownership and creativity. Located in a vibrant area, employees benefit from a stimulating work atmosphere that encourages both personal and professional advancement.
