Machine Learning Engineer, VP
NatWest Group is hiring a Machine Learning Engineer at a VP level to oversee the deployment, automation, and monitoring of ML models within their fintech operations. The role involves collaborating with cross-functional teams, managing direct reports, and productionizing advanced AI solutions using Python and modern CI/CD tools. Candidates are expected to have a strong STEM background and experience with large-scale ML deployment. This position offers an opportunity to drive enterprise AI strategy and innovation within the financial sector.
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Experience
Experience not specified
Function
Engineering
Work mode
Onsite, India
Company
Tier 2
What you will work on
NatWest Group is hiring a Machine Learning Engineer at a VP level to oversee the deployment, automation, and monitoring of ML models within their fintech operations. The role involves collaborating with cross-functional teams, managing direct reports, and productionizing advanced AI solutions using Python and modern CI/CD tools. Candidates are expected to have a strong STEM background and experience with large-scale ML deployment. This position offers an opportunity to drive enterprise AI strategy and innovation within the financial sector.
TAL's take
Solid role at a large global financial institution with clear managerial and technical ownership, though lacking specific YOE and compensation details.
The role is clearly defined with specific responsibilities in ML deployment and team leadership, though the title is slightly broad for a VP level.
Salaries at NatWest Group
21.4 LPA average
Based on 56 Grapevine salary entries for NatWest Group.
Engineering
0 - 2 years | L1
12 LPA average
Range: 12 - 13 LPA
Engineering
2 - 4 years | B7
17 LPA average
Range: 7 - 25 LPA
Engineering
4 - 6 years | B7
14 LPA average
Range: 13 - 15 LPA
Engineering
6 - 8 years | B7
15 LPA average
Range: 15 - 15 LPA
Must haves
- STEM degree
- Experience with machine learning on large datasets
- Experience building, testing, supporting, and deploying ML models in production
- Hands-on experience with Python
- Experience in traditional ML and GenAI/Agentic AI applications
- Experience with CI/CD tools
Tools and skills
Nice to have: aws, iac, genai, agentic ai.
About the company
Global banking institution with significant engineering operations, classified as tier 2.
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