At a Glance
- Tasks: Build and run scalable ML systems using Kubernetes and GPU optimisation.
- Company: Join Lloyds Bank, a leader in financial services with a tech-forward approach.
- Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
- Other info: Be part of a team that values innovation and ethical AI practices.
- Why this job: Make a real impact by deploying cutting-edge AI services in a dynamic environment.
- Qualifications: Experience in ML systems, Kubernetes, and GPU environments is essential.
The predicted salary is between 70000 - 90000 £ per year.
Lloyds Bank plc is seeking an ML/AI Engineer in Manchester to build and run scalable ML systems across the full lifecycle.
The role focuses on Kubernetes orchestration, CI/CD automation, GPU optimization, and deploying production-grade AI services with reliability and observability.
You will lead model deployment, manage NVIDIA GPU environments, and implement end-to-end pipelines with monitoring, alerting, and governance to ensure safe and fair AI at scale.
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ML/AI Engineer — Kubernetes & GPU Inference (Hybrid) in Manchester employer: Lloyds Bank plc
Lloyds Banking Group is an exceptional employer, offering a dynamic work environment in Cardiff that fosters professional growth and collaboration. With a competitive salary package, generous benefits including a robust pension scheme and flexible working options, employees are empowered to thrive both personally and professionally. The company prioritises inclusivity and well-being, ensuring that all team members can achieve their full potential while making a meaningful impact in the SME banking sector.
