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Description
We're working with a market-leading financial services powerhouse on this exciting opportunity to shape the future of transaction banking.
Jumpstart your career by building and optimizing sophisticated AI agent workflows and integrating LLMs into enterprise-grade tools. This is a rare chance for a high-potential graduate to gain hands-on experience with production-level Kubernetes, MLOps, and CI/CD pipelines within a massive scale environment.
The Role
We're working with a market-leading financial services powerhouse on this exciting opportunity to shape the future of transaction banking.
Jumpstart your career by building and optimizing sophisticated AI agent workflows and integrating LLMs into enterprise-grade tools. This is a rare chance for a high-potential graduate to gain hands-on experience with production-level Kubernetes, MLOps, and CI/CD pipelines within a massive scale environment.
The Role
- Package and deploy trained AI/ML models into robust, production-ready Docker images.
- Orchestrate large-scale deployments using Kubernetes pods to ensure high availability, resilience, and smart resource allocation.
- Build and manage automated CI/CD pipelines for seamless model testing, deployment, and performance monitoring.
- Drive environment management strategy, focusing on containerization, networking configuration, and production system health.
- Implement advanced logging and monitoring tools to track real-time model performance and system metrics.
- A strong academic background or research experience specifically focused on Machine Learning and Artificial Intelligence.
- Hands-on technical proficiency with Python and containerization tools like Docker and Kubernetes.
- Familiarity with modern CI/CD tools such as Jenkins, GitHub Actions, or Azure DevOps.
- Exposure to major Cloud Platforms, specifically AWS, Azure, or GCP.
- An analytical mindset with the methodological approach required to troubleshoot complex deployment and infrastructure issues.
- Competitive salary range of £30,000 - £38,000 based on experience.
- Hybrid working model (2 days in-office) providing the perfect balance of collaboration and flexibility.
- 12-month fixed-term contract with significant scope for extension and long-term career progression.
- Unrivaled professional support and development within a globally respected financial institution.
Key Skills
Ranked by relevance
cicd
containerization
kubernetes
docker
high availability
machine learning
jenkins
python
cloud
mlops
aws
ai
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- Posted
- Mar 31, 2026
- Type
- Contract
- Level
- Not Applicable
- Location
- Uxbridge
- Company
- targetjobs UK
Industries
Technology
Information
Internet
Categories
Engineering
Information Technology
Related Jobs
3 roles aligned with this opportunity
View Job Details
Related
Graduate DevOps Engineer
2026-04-08
Full-time
Not Applicable
United Kingdom
Technology
Engineering
View Job Details
Related
AI Fullstack Engineer
2026-04-11
Full-time
Not Applicable
Argentina
Technology
Engineering
View Job Details
Related
Graduate Software Developer
2026-04-10
Full-time
Not Applicable
United Kingdom
Technology
Engineering