Agentic AI ML Engineer – Remote, Growth & Equity

Agentic AI ML Engineer – Remote, Growth & Equity

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

At a Glance

  • Tasks: Design and deploy machine learning systems to enhance workforce management.
  • Company: Planday, a leader in scheduling and workforce management solutions.
  • Benefits: Remote work, competitive salary, equity options, and professional growth opportunities.
  • Other info: Join a dynamic team focused on transforming how businesses operate.
  • Why this job: Shape the future of work with innovative AI solutions and real-world impact.
  • Qualifications: Experience in machine learning and a passion for solving complex problems.

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

Planday, a leading scheduling and workforce management platform, is seeking a Machine Learning Engineer to work at the intersection of research and production. You will translate ambiguous challenges into shipped features, collaborating with internal stakeholders and customers to expand the platform’s capabilities and reshape how businesses manage work and transparency.

In this role you will design and ship ML and agentic systems, deploy model services in production, and drive rigorous.

Agentic AI ML Engineer – Remote, Growth & Equity employer: Planday

Planday is an exceptional employer that fosters a culture of innovation and collaboration, making it an ideal place for Machine Learning Engineers to thrive. With a strong focus on employee growth, Planday offers ample opportunities for professional development and the chance to work on cutting-edge projects that directly impact workforce management. The remote work flexibility allows for a balanced lifestyle while being part of a dynamic team dedicated to reshaping how businesses operate.

Planday

Contact Details:

Planday Recruitment Team

We think you need these skills to ace Agentic AI ML Engineer – Remote, Growth & Equity

Machine Learning
Model Deployment
Feature Engineering
Collaboration
Research and Development
Problem-Solving
Stakeholder Engagement