Senior AI Engineering Consultant β€” Banking (Hybrid, London)

Senior AI Engineering Consultant β€” Banking (Hybrid, London)

Full-Time 80000 - 100000 Β£ / year (est.) No working from home possible
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At a Glance

  • Tasks: Design and implement AI solutions for banking, mentoring junior engineers along the way.
  • Company: Join a leading firm in financial services with a focus on innovation.
  • Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
  • Other info: Fast-paced environment with a strong emphasis on collaboration and development.
  • Why this job: Be at the forefront of AI technology, making a real difference in banking.
  • Qualifications: Experience in AI engineering, Python, SQL, and cloud platforms required.

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

Energy Jobline ZR is seeking a Senior Consultant – AI Engineer for a hybrid London role in banking, delivering AI solutions and enterprise-scale implementations.

You will design AI-powered products, develop Po Cs, and drive governance and security in AI deployments.

You will work with Python, SQL, LLMs, and modern cloud platforms, mentoring junior members and contributing to a fast-moving AI practice within financial services.

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Senior AI Engineering Consultant β€” Banking (Hybrid, London) employer: Energy Jobline ZR

World Wide Technology (WWT) is an exceptional employer that fosters a culture of innovation and collaboration, making it an ideal place for a Programme Director in London. With a strong focus on employee growth, WWT offers opportunities to lead cutting-edge automation projects while working in a hybrid environment that promotes work-life balance. The company values transparent communication and client-first service, ensuring that employees are empowered to drive meaningful outcomes and develop their skills in a supportive atmosphere.

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Contact Details:

Energy Jobline ZR Recruitment Team

We think you need these skills to ace Senior AI Engineering Consultant β€” Banking (Hybrid, London)

AI Solutions Design
Enterprise-Scale Implementations
Python
SQL
Large Language Models (LLMs)
Cloud Platforms
Governance in AI Deployments