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Machine Learning Engineer, AVP

Actively Reviewing the Applications

NatWest Group

India, Karnataka, Bengaluru Full-Time On-site

Posted 3 hours ago • Apply by June 2, 2026

Job Description

Join us as a Machine Learning Engineer

We’re looking for someone to deploy, automate, maintain and monitor machine learning models and algorithms to make sure they work effectively in a production environment
Day-to-day, you’ll collaborate with colleagues to design and develop state-of-the-art machine learning products which power our group for our customers
This is your opportunity to turn your interests into a diverse and rewarding career, as you solve new problems and create smarter solutions in a non-stop innovation environment
We're offering this role at associate vice president level

What you’ll do

As a Machine Learning Engineer, you’ll lead the planning and design of complex projects. Your daily responsibilities will see you codifying and automating machine learning model production, including pipeline optimisation, tuning and fault finding, as well as transforming data science prototypes and applying appropriate machine learning algorithms and tools.

We’ll need you to deploy and maintain adopted end-to-end solutions, including building metrics to improve system performance and identifying and resolving differences in data distribution which affect model performance.

In Addition, You’ll Be Responsible For

Understanding the needs of our business stakeholders, and how machine learning solutions meet those needs to support the achievement of our business strategy
Working with colleagues to produce machine learning models, including pipeline designs, development, testing and deployment to carry on the intent and knowledge into production
Creating frameworks to make sure the monitoring of machine learning models within the production environment is robust
Delivering models that adhere to expected quality and performance while understanding and addressing any shortfalls, for example through retraining
Leading and working in an Agile way within multi-disciplinary data and the analytics teams to achieve agreed project and Scrum outcomes

The skills you’ll need

To be successful in this role, you’ll have an academic background in a STEM discipline, like Mathematics, Physics, Engineering or Computer Science. You’ll need overall eight years of experience with machine learning on large datasets and an understanding of machine learning approaches and algorithms.

Alongside this, you’ll have experience of building, testing, supporting and deploying machine learning models into a production environment, using modern CI/CD tools, like TeamCity and CodeDeploy. You’ll also have good communication skills to engage with a wide range of stakeholders.

Furthermore, You’ll Need

Experience of coaching others
Experience of using programming and scripting languages, such as Python and relevent libraries along with machine learning framework such as Tensorflow and Pytorch
Experience with AWS, Google cloud platform, or Azure for deploying machine learning models
Strong understanding of CI/CD pipelines, version control such Git, and containerization such as Docker
Knowledge of various machine learning algorithms, MLOps,LLMOps and familiarity with concepts such as overfitting and model evaluation metrics