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VP, Machine Learning Engineer, Enterprise AI, Innovation Group
Reads like a Data Leadership role: running a data team.
Central Region (City Area)
Actively hiring, first seen by us 8 days ago- Pay
- Pay not listed
- Work setting
- Not stated
- Employment
Full-time — employment source
Employment type in the employer’s posting: Full time
From the employer’s posting
What you’ll work on
Full postingUOB Enterprise AI is looking for an experienced and innovative AI Platform Specialist to join the dynamic team.
You will be expected to play an integral role in shaping and executing our AI strategy and enterprise AI platform, leverage your expertise in ML algorithms, architectures, and best practices to design, develop, and deploy high-impact AI solutions that solve real-world banking challenges and create significant value for the enterprise.
Develop and enhance the enterprise AI platform with group technology
Design reusable assets, libraries, frameworks and ML tools
Build and optimize data and ML pipelines for training and operation
Develop end-to-end ML solutions and deploy them into production
Build tools, apps and UIs for business stakeholders
From the employer’s posting
UOB Enterprise AI is looking for an experienced and innovative AI Platform Specialist to join the dynamic team.
You will be expected to play an integral role in shaping and executing our AI strategy and enterprise AI platform, leverage your expertise in ML algorithms, architectures, and best practices to design, develop, and deploy high-impact AI solutions that solve real-world banking challenges and create significant value for the enterprise.
Partner with group technology to develop and enhance enterprise AI platform and operation
Design and develop re-useable assets, libraries, frameworks, and ML tools
Build and optimize data and ML pipeline to ensure robust and high-quality data feed
develop end-to-end ML solutions, and deploy into production environment
Develop appropriate tools/apps/UIs to complete AI products for business stakeholders
What you’ll bring
All qualificationsCore experience
- Minimum 8 years as an ML Engineer or similar role
- Track record of deploying ML solutions into production
- Bachelor's or advanced degree in computer science, data science, software engineering or related field
- Hands-on with Hadoop, Spark, ETL and relational and non-relational databases
- Proficiency in Python, Java or Scala
Qualification wording
Minimum 8 years of experience as an ML Engineer or similar role
proven track record of developing and deploying ML solutions into production environment
Bachelor’s or advanced degree in computer science, data science, software engineering or related fields
Hands-on experience of data management technology, including Hadoop, Sparks, ETL, relational & non-relational databases
Proficiency in programming languages such as Python, Java or Scala
Education & alternatives
Key Requirement: - Bachelor’s or advanced degree in computer science, data science, software engineering or related fields. - Minimum 8 years of experience as an ML Engineer or similar role, with proven track record of developing and deploying ML solutions into production environment.
About United Overseas Bank
United Overseas Bank Limited (UOB) is a leading bank in ASEAN with a global network in Southeast Asia, Asia Pacific, Europe and North America.
In the employer’s words · Read in context
Posting record
Report an errorActively hiringFirst seen by us 8 days ago, still listed, and not a repost of an earlier posting.
- Status in our records
- Live
- First seen by us
- Nov 5, 20268 days ago
- Recorded sightings
- 9
- Last seen by us
- Nov 13, 2026
- Employer says posted
- Sep 29, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
United Overseas Bank is hiring
48 open jobs
Open jobs by the week we first saw them, last 12 weeks.
Hiring recordSee how this role fits your experience
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- Java
- Python
- Scala
- Hadoop
Where the posting names them
- Hands-on experience of data management technology, including Hadoop, Sparks, ETL, relational & non-relational databases. - Proficiency in programming languages such as Python, Java or Scala. - Experience in on-premises and cloud-based AI platforms and technologies; familiar with DevOps and CI/CD practices.
- In-depth knowledge of ML algorithms, development tools, model life cycle and deployment patterns. - Hands-on experience of data management technology, including Hadoop, Sparks, ETL, relational & non-relational databases. - Proficiency in programming languages such as Python, Java or Scala.
Your next step
Complete your application on uobgroup.wd3.myworkdayjobs.com. The employer’s form will show what is required.
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- Your application status lives in that employer’s Candidate Home, under the same sign-in.
Already applied? Track this application
Demand for Data Leadership roles
New Data Leadership postings at the employers we follow are about the same over the last 6 weeks compared with the 6 before.
Each bar is one week of new postings. The darkest bars are the last 6 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
About the role
We file this job under Data Leadership, by the work the posting describes.
Data leaders run data teams or design how a company's data fits together. Managers hire, set priorities and answer for whether the data work pays off; architects choose the systems and the shape of the data.
Expect years of hands-on data work, experience leading people or projects, and the ability to explain tradeoffs to executives.
Unlike a senior engineer or analyst, most of a data leader's week goes to people, planning and decisions rather than building.
US government figures for computer and information systems managers
- Median yearly pay, May 2025
- $175,140
- Expected change, 2025 to 2035
- 15.8% more jobsagainst 3.5% for all jobs
The government has no code for data leaders, so these figures are for the closest group, computer and information systems managers, which includes data processing and data operations managers.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 11-3021.
Job description
Company: 1011 United Overseas Bank Ltd
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
About the Department
Enterprise AI (EAI) focus on delivering AI and machine learning models developed in collaboration with business and support units, and driving the adoption of GenAI self-help across the Bank for value creation. EAI will spearhead the AIDA Center of Excellence, as well as own and manage the enterprise AI platforms.
Role Overview
UOB Enterprise AI is looking for an experienced and innovative AI Platform Specialist to join the dynamic team.
You will be expected to play an integral role in shaping and executing our AI strategy and enterprise AI platform, leverage your expertise in ML algorithms, architectures, and best practices to design, develop, and deploy high-impact AI solutions that solve real-world banking challenges and create significant value for the enterprise.
Key Responsibilities:
- Partner with group technology to develop and enhance enterprise AI platform and operation to help drive AI industrialization within the bank.
- Act as AI platform SME and work closely with data scientists, IT engineers and business stakeholders to understand the business needs, develop end-to-end ML solutions, and deploy into production environment.
- Design and develop re-useable assets, libraries, frameworks, and ML tools to accelerate model development and platform management.
- Collaborate with technology team to adopt best-in-class industry practices to streamline model deployment processes.
- Build and optimize data and ML pipeline to ensure robust and high-quality data feed for both model training and operation.
- Develop appropriate tools/apps/UIs to complete AI products for business stakeholders.
- Stay ahead of industry trends, emerging technologies, and best practices to drive continuous improvement AI/ML process in UOB.
Key Requirement:
- Bachelor’s or advanced degree in computer science, data science, software engineering or related fields.
- Minimum 8 years of experience as an ML Engineer or similar role, with proven track record of developing and deploying ML solutions into production environment.
- In-depth knowledge of ML algorithms, development tools, model life cycle and deployment patterns.
- Hands-on experience of data management technology, including Hadoop, Sparks, ETL, relational & non-relational databases.
- Proficiency in programming languages such as Python, Java or Scala.
- Experience in on-premises and cloud-based AI platforms and technologies; familiar with DevOps and CI/CD practices.
- Strong communication skills and able to convey/articulate complex technical concepts to non-technical stakeholders.
- Working experience in banking/financial sector is a plus.
Additional Requirements
University-BachelorBe 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.
Apply now and make a Difference
Source details
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- Pay
No pay amount identified in the saved description.
- Location & working pattern
Central Region (City Area)
Working pattern and location restrictions need checking in the full posting.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.