At a Glance
- Tasks: Build and maintain scalable AI pipelines for cutting-edge SaaS solutions.
- Company: Join AECOM, a leader in innovative AI engineering.
- Benefits: Competitive salary, flexible work options, and opportunities for growth.
- Other info: Dynamic team environment focused on innovation and collaboration.
- Why this job: Make a real-world impact with your skills in AI and machine learning.
- Qualifications: Degree in Computer Science or Engineering and experience with ML model deployment.
The predicted salary is between 60000 - 80000 £ per year.
AECOM is seeking a talented engineer for their AI Engineering team to develop and maintain robust machine learning pipelines. This role involves programming in Python and developing backend systems that integrate AI into their SaaS platform.
Ideal candidates will have:
- a degree in Computer Science or Engineering,
- strong skills in deploying ML models,
- experience with Azure cloud environments.
Join AECOM to make a real-world impact through innovative AI-driven technology.
MLOps Engineer: Build Scalable AI Pipelines for SaaS in London employer: AECOM
AECOM is an exceptional employer that fosters a culture of innovation and collaboration, making it an ideal place for MLOps Engineers to thrive. With a strong commitment to employee growth, AECOM offers extensive training opportunities and the chance to work on cutting-edge AI projects that have a tangible impact on the world. Located in a dynamic environment, employees benefit from a supportive team atmosphere and the resources needed to excel in their careers.
