Senior AI Engineer β€” Lead Data Solutions & AI Systems

Senior AI Engineer β€” Lead Data Solutions & AI Systems

Full-Time 63000 - 77000 Β£ / year (est.) No working from home possible
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At a Glance

  • Tasks: Lead the design of advanced AI solutions and scalable data pipelines.
  • Company: QuantumBlack, AI by McKinsey - a leader in AI innovation.
  • Benefits: Competitive salary, mentorship opportunities, and a dynamic work environment.
  • Other info: Fast-paced environment with excellent career growth potential.
  • Why this job: Make a real impact with cutting-edge AI technology and collaborate globally.
  • Qualifications: Experience in AI/ML software engineering and strong leadership skills.

The predicted salary is between 63000 - 77000 Β£ per year.

Quantum Black, AI by Mc Kinsey is seeking a senior AI/ML software engineer to lead the design and development of advanced AI solutions and scalable data pipelines.

You will collaborate with a global network of technologists and data scientists to deliver AI-driven outcomes for clients.

You will mentor client teams, implement scalable architectures, ensure data quality, and contribute to R&D efforts across industries in a fast-paced, high-impact environment.

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Senior AI Engineer β€” Lead Data Solutions & AI Systems employer: QuantumBlack, AI by McKinsey

At QuantumBlack, AI by McKinsey, we pride ourselves on being an exceptional employer that fosters a high-performance culture where your contributions truly matter. Located in London, we offer world-class benefits and a commitment to continuous learning, ensuring you have the resources and mentorship needed to accelerate your growth as a data engineer. Join a diverse global community of experts, collaborate on cutting-edge AI projects, and make a meaningful impact while developing your skills in a supportive and innovative environment.

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Contact Details:

QuantumBlack, AI by McKinsey Recruitment Team

We think you need these skills to ace Senior AI Engineer β€” Lead Data Solutions & AI Systems

AI/ML Software Engineering
Design and Development of AI Solutions
Scalable Data Pipelines
Collaboration with Technologists and Data Scientists
Mentoring Skills
Implementation of Scalable Architectures
Data Quality Assurance