Senior Developer, Machine Learning Operations
United Overseas Bank Open · verified Oct 22, 2026 At a glance
Senior Machine Learning Engineering role at United Overseas Bank. The Gardens North Tower · full-time.
Pay not stated Machine Learning Engineering salary
aimlroles summary, based on the employer's posting.
What you'll do
- Build and maintain shell or Python automation, then keep the DevOps pipelines running
- Connect AWS environments across cloud and on-premises systems, and deploy AI models on OpenShift
- Protect AI systems and data flows with network security controls
- Work with data scientists, architects and DevOps teams to turn AI workflows into production engineering
- Track system reliability and performance, and support CI/CD releases for model updates
What you bring
- A bachelor's degree in computer science, engineering or a related discipline
- Bash and Unix/Linux command-line skills are required, alongside AWS knowledge
- Hands-on CI/CD pipeline experience and familiarity with the listed tools, including Bitbucket, Jenkins and Artifactory
- Practical experience with OpenShift, Docker and Kubernetes
- Python skills for automation and ML tasks, plus exposure to AI security, APIs, microservices or generative AI
Who this fits
This senior role suits someone who can combine hands-on platform engineering with analytical thinking and clear communication. It is based in Malaysia and listed as hybrid.
From the employer
About UOB
United Overseas Bank Limited (UOB) is a leading bank in ASEAN with a global network in Southeast Asia, Asia Pacific, Europe and North America. Operating through our head office in Singapore and banking subsidiaries in China, Indonesia, Malaysia, Thailand and Vietnam, we have a global network of about 430 branches and offices in 19 markets. At the heart of UOB is our culture, shaped by the UOB Way and anchored on our four values – Honourable, Enterprising, United and Committed. For more than 90 years, these values have guided how we do right by our customers, collaborate with one another and create long-term value for the communities we operate in. As One Bank, we are committed to helping our colleagues build sustainable careers grounded in purpose, supported by strong values, and enriched with meaningful opportunities to grow.
Job Description
Who We Are
Enterprise Analytics (EA) stands at the forefront of UOB's vision, aiming to establish the bank as a leader in deploying cutting-edge Machine Learning models. Comprising a team of experts, we focus on enhancing the bank's capabilities in supporting key areas such as Risk, Wealth, Retail, etc., with a strong emphasis on coordination in data management, technology, and internal stakeholder collaboration.
Upholding to UOB’s core value of being enterprising, we are incredibly thrilled about strengthening this strategic unit’s capabilities for the bank, envisioning significant progress and innovation. We firmly believe that advanced analytics is a pivotal factor in delivering premier AI services to our stakeholders.
Your Profile
We seek individuals with highly developed conceptual, strategic, and analytical skills, capable of striking a balance between visionary thinking and practical solutions. The ability to comprehend, inspire, and mobilize others is crucial. A business-oriented mindset coupled with effective storytelling will drive your success. We are looking for self-starters ready to take on responsibilities with enthusiasm.
Your Role
This Machine Learning Operations role focuses on building and integrating Traditional AI, Generative AI, and Agentic AI solutions into enterprise environments. You will work closely with data scientists, architects, and DevOps teams to design, implement, and optimize AI pipelines and infrastructure.
Key Responsibilities:
- Develop and maintain automation scripts using Linux shell scripting, Python, or other relevant tools.
- Develop and maintain the entire DevOps pipelines.
- Ensure seamless deployment and integration between cloud/prem environments (AWS).
- Integrate AI models into production environments using containerized platforms such as OpenShift.
- Implement and maintain network security protocols to safeguard AI systems and data pipelines.
- Collaborate with cross-functional teams to understand AI workflows and translate them into robust engineering solutions.
- Monitor and optimize system performance, reliability, and scalability.
- Support CI/CD processes and infrastructure for AI model deployment and updates.
Key Requirements
- Bachelor’s degree in Computer Science, Engineering, or a related field.
- Bash and Unix/Linux command-line toolkit is a must-have.
- Deep technical background, with hands-on experience in supporting CI/CD pipelines (Bitbucket, Jenkins, Artifactory, Sonar, Veracode for SAST, JIRA workflow, and Confluence).
- Hands-on experience with OpenShift, Docker, Kubernetes.
- Knowledge of cloud platforms (e.g. AWS) is a must-have.
- Exposure to data and network security and compliance in AI systems.
- Knowledge of API integration and microservices architecture.
- Proficiency in Python used both for automation and ML-related tasks
- Knowledge of Workflow Orchestrator, such as Ctrl-M
- Good knowledge of Logging and Monitoring tools, such as Splunk and Geneos.
- Experience with Observability framework, such as Langfuse, Elastic Stack, Grafana, OpenTelemetry.
- Understanding of Generative AI (e.g. prompt engineering, RAG pipelines) and Agentic AI concepts.
Additional Requirements
Be a Part of the UOB Family
UOB is an equal opportunity employer. UOB does not discriminate on the basis of a candidate's age, race, gender, color, religion, sexual orientation, physical or mental disability, or other non-merit factors. All employment decisions at UOB are based on business needs, job requirements and qualifications. If you require any assistance or accommodations to be made for the recruitment process, please inform us when you submit your online application.
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