AI Engineer - Workday Solutions & MLOps

AI Engineer - Workday Solutions & MLOps

Full-Time 70000 - 90000 Β£ / year (est.) No working from home possible
Kainos Group plc

At a Glance

  • Tasks: Help build and integrate AI solutions into Workday products with a focus on MLOps.
  • Company: Join Kainos, a forward-thinking tech company dedicated to innovation.
  • Benefits: Enjoy competitive pay, flexible working options, and opportunities for professional growth.
  • Other info: Gain valuable hands-on experience in a dynamic and supportive environment.
  • Why this job: Make a real difference by enhancing Workday products with cutting-edge AI technology.
  • Qualifications: Passion for AI/ML and some experience in software engineering or related fields.

The predicted salary is between 70000 - 90000 Β£ per year.

Kainos is seeking an Associate AI Engineer for Workday Products to help productionise AI/ML solutions and integrate them into our Workday offerings.

You will collaborate with data scientists and engineers to deliver robust AI solutions, including modules like Smart analytics and Pay Transparency tools.

You will gain hands-on experience in MLOps, cloud deployment, and software engineering practices while contributing to impactful Workday product enhancements.

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AI Engineer - Workday Solutions & MLOps employer: Kainos Group plc

Kainos Group plc is an exceptional employer that prioritises a people-first culture, offering a dynamic and collaborative environment for Lead Software Engineers. With a strong focus on employee growth through mentorship and the adoption of modern practices like XP and TDD, Kainos empowers its team to innovate and excel while working on impactful projects for global clients. The remote UK position provides flexibility and the chance to be part of a forward-thinking company that values both professional development and work-life balance.

Kainos Group plc

Contact Details:

Kainos Group plc Recruitment Team

We think you need these skills to ace AI Engineer - Workday Solutions & MLOps

AI/ML Solutions
MLOps
Cloud Deployment
Software Engineering Practices
Collaboration
Data Science
Workday Products