Lead AI Engineer - Build Scalable AI Workflows in Manchester

Lead AI Engineer - Build Scalable AI Workflows in Manchester

Manchester Full-Time 60000 - 80000 Β£ / year (est.) No working from home possible
Tata Consultancy Services

At a Glance

  • Tasks: Design and optimise AI workflows while collaborating with diverse teams.
  • Company: Tata Consultancy Services, a leader in tech innovation.
  • Benefits: Competitive salary, wellness initiatives, and a commitment to diversity.
  • Other info: Join a dynamic team with a focus on inclusion and growth.
  • Why this job: Shape the future of AI and work on cutting-edge projects.
  • Qualifications: Experience in machine learning and a passion for AI trends.

The predicted salary is between 60000 - 80000 Β£ per year.

Tata Consultancy Services is seeking a Lead AI Engineer for their Manchester location. This role offers an opportunity to design, build, and optimize AI workflows while collaborating with cross-functional teams.

Your responsibilities will include implementing high-performing ML models and staying current with AI/ML trends.

TCS offers a competitive salary package with benefits, wellness initiatives, and a commitment to diversity and inclusion in the workplace.

Lead AI Engineer - Build Scalable AI Workflows in Manchester employer: Tata Consultancy Services

Tata Consultancy Services is an excellent employer, offering a dynamic work culture in Manchester that fosters innovation and collaboration. With a strong commitment to employee growth through continuous learning opportunities and wellness initiatives, TCS ensures that its team members thrive both personally and professionally. The company's dedication to diversity and inclusion further enhances the workplace environment, making it a rewarding place for those looking to make a meaningful impact in the field of AI.

Tata Consultancy Services

Contact Details:

Tata Consultancy Services Recruitment Team

We think you need these skills to ace Lead AI Engineer - Build Scalable AI Workflows in Manchester

AI Workflow Design
Machine Learning Model Implementation
Optimisation of AI Workflows
Collaboration with Cross-Functional Teams
Staying Current with AI/ML Trends
High-Performance Computing
Data Engineering