Lead AI Engineer: Production-Grade ML for Enterprise Apps in Belfast

Lead AI Engineer: Production-Grade ML for Enterprise Apps in Belfast

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

At a Glance

  • Tasks: Lead the development of AI/ML solutions for enterprise applications and optimise performance.
  • Company: Kainos, a forward-thinking tech company focused on innovation.
  • Benefits: Attractive salary, health benefits, flexible working, and opportunities for professional growth.
  • Other info: Exciting work environment with excellent career advancement potential.
  • Why this job: Join a dynamic team and make a significant impact in AI technology.
  • Qualifications: Experience in AI/ML, strong collaboration skills, and a passion for innovation.

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

Kainos is seeking a Lead AI Engineer to bridge data science and software engineering, productionizing AI/ML solutions for Workday offerings.

You will optimize performance and ensure reliability in production systems.

You will work with data scientists, software engineers and product teams to deliver robust AI features, leveraging cloud platforms, MLOps practices and container orchestration.

Strong collaboration and communication are essential. #J-18808-Ljbffr

Lead AI Engineer: Production-Grade ML for Enterprise Apps in Belfast employer: hackajob

At hackajob, we pride ourselves on being an exceptional employer that fosters a culture of innovation and inclusivity. Our diverse team thrives in a high-performance environment where your contributions directly impact our multi-asset platform's success. With ample opportunities for professional growth and a commitment to employee development, joining us means being part of a forward-thinking company that values your expertise and ambition.

hackajob

Contact Details:

hackajob Recruitment Team

We think you need these skills to ace Lead AI Engineer: Production-Grade ML for Enterprise Apps in Belfast

AI/ML Solutions
Production Systems Optimization
Collaboration Skills
Communication Skills
Cloud Platforms
MLOps Practices
Container Orchestration