Lead AI/ML Engineer β€” Production Pipelines, Remote in London

Lead AI/ML Engineer β€” Production Pipelines, Remote in London

London Full-Time 80000 - 100000 Β£ / year (est.) No working from home possible
Sreeyam Soft Pvt Ltd

At a Glance

  • Tasks: Lead a team to build and deploy AI agents and ML pipelines for enterprise automation.
  • Company: Sreeyam Soft Pvt Ltd, a forward-thinking tech company in London.
  • Benefits: Top-notch pay, learning budget, and a hybrid work model.
  • Other info: Modern offices with a collaborative culture and growth opportunities.
  • Why this job: Join a dynamic team and shape the future of AI and ML in production.
  • Qualifications: 5+ years of experience in software engineering and strong CS fundamentals.

The predicted salary is between 80000 - 100000 Β£ per year.

Sreeyam Soft Pvt Ltd is seeking a skilled software engineer in London to build and deploy production AI agents and ML pipelines for enterprise automation. The role requires 5+ years of experience and strong CS fundamentals.

The successful candidate will lead a team of engineers, partner with stakeholders, and drive best practices in engineering.

Sreeyam offers top-notch pay, a learning budget, and a hybrid work model with modern offices.

Lead AI/ML Engineer β€” Production Pipelines, Remote in London employer: Sreeyam Soft Pvt Ltd

As a Senior Full Stack Developer at our London office, you'll be part of a dynamic team that values engineering excellence and innovation. We offer top-of-the-market pay, generous learning budgets, and a collaborative work culture that fosters mentorship and inclusivity. With the opportunity to work on impactful projects for FTSE 250 clients, you will not only grow your technical skills but also contribute to meaningful digital transformations in a supportive environment.

Sreeyam Soft Pvt Ltd

Contact Details:

Sreeyam Soft Pvt Ltd Recruitment Team

We think you need these skills to ace Lead AI/ML Engineer β€” Production Pipelines, Remote in London

AI Development
Machine Learning Pipelines
Software Engineering
Team Leadership
Stakeholder Engagement
Best Practices in Engineering
Enterprise Automation