ML/AI Engineer: Deploy & Scale AI with Kubernetes

Lloyds Bank plc; Manchester; Hybrid; GBP 70,000 - 85,000; Full time

Job summary

A prominent financial institution is seeking an ML/AI Engineer in Manchester to lead scalable system development for machine learning. The role involves managing Kubernetes clusters, creating CI/CD pipelines, and deploying AI models while ensuring compliance and quality. Candidates should have strong Python skills, be experienced with Kubernetes and CI/CD tools, and possess practical knowledge in GPU optimization. The position offers a hybrid work model, competitive salary, and numerous benefits, including a pension scheme and flexible working arrangements.

Benefits

Generous pension contribution

Annual bonus

Share schemes

Discounted shopping

30 days’ holiday

Wellbeing initiatives

Qualifications

• Experience building production-grade Kubernetes clusters for model inference.
• Hands-on with CI/CD pipeline creation and GitOps workflows.
• Knowledge of GPU-backed inference services, especially using NVIDIA tools.

Responsibilities

• Compose, build, and operate Kubernetes clusters for model training jobs.
• Implement CI/CD pipelines to automate deployment across environments.
• Establish observability for models and enforce audit readiness.

Skills

Strong Python for automation

Deep expertise in Kubernetes

CI/CD expertise with Harness

Practical experience with CUDA

Proficiency in Prometheus

Expert use of Git

Tools

Docker

Helm

MLflow

Job description

A prominent financial institution is seeking an ML/AI Engineer in Manchester to lead scalable system development for machine learning. The role involves managing Kubernetes clusters, creating CI/CD pipelines, and deploying AI models while ensuring compliance and quality. Candidates should have strong Python skills, be experienced with Kubernetes and CI/CD tools, and possess practical knowledge in GPU optimization. The position offers a hybrid work model, competitive salary, and numerous benefits, including a pension scheme and flexible working arrangements.