RESUME AND JOB
Standard Chartered
• we are seeking a highly skilled and experienced senior mlops engineer with expertise in databricks and advanced python development for machine learning applications. The ideal candidate will play a critical role in operationalizing machine learning models, building scalable pipelines, and developing robust python-based solutions to support ml workflows. You will collaborate with data scientists, data engineers, and software developers to deploy, monitor, and optimize machine learning systems in production environments.
Responsibilities
• Design, implement, and maintain MLOps pipelines for deploying and monitoring machine learning models in Databricks.
• Develop advanced Python-based solutions for machine learning workflows, including custom libraries, utilities, and frameworks.
• Collaborate with data scientists to automate the training, testing, and deployment of ML models using Python and Databricks MLflow.
• Build scalable and efficient ETL pipelines for data preprocessing and feature engineering in Databricks.
• Implement CI/CD pipelines for machine learning workflows using tools like Azure DevOps, GitHub Actions, or Jenkins.
• Write high-quality, modular, and reusable Python code for ML model deployment and monitoring.
• Optimize Python-based ML code for performance, scalability, and maintainability.
• Manage and optimize Databricks clusters, including cost management and performance tuning.
• Monitor and troubleshoot production ML systems, ensuring reliability and low latency.
• Ensure compliance with security and governance policies for data and models.
• Stay updated with the latest trends and best practices in MLOps, Python development, Databricks, and cloud technologies.
Strategy
• Understand the bank’s MLOps strategy and implement automation solutions to enhance the machine learning model lifecycle, from development to deployment and monitoring.
Business
• Collaborate with application delivery teams to adopt and implement MLOps pipeline solutions, enhancing delivery efficiency and operational maturity.
Processes
• Understand the bank’s software delivery processes and implement MLOps solutions that align with compliance and security requirements.
People & Talent
• Collaborate with diverse engineers in sprint delivery, create technical documentation, prepare training materials, provide technical support, and conduct sessions to onboard and accelerate adoption by application delivery teams.
Risk Management
• Understand bank’s risk management framework and embed that into the technology solution being delivered.
Governance
• Understand bank’s software delivery & quality assurance framework and assist in solutioning in respective governance activity.
Regulatory & Business Conduct
• Display exemplary conduct and live by the Group’s Values and Code of Conduct.
• Take personal responsibility for embedding the highest standards of ethics, including regulatory and business conduct, across Standard Chartered Bank. This includes understanding and ensuring compliance with, in letter and spirit, all applicable laws, regulations, guidelines and the Group Code of Conduct.
• Effectively and collaboratively identify, escalate, mitigate and resolve risk, conduct and compliance matters.
Key stakeholders
• Delivery Leads
• Engineering Team
• Architect
• CI/CD Tools
• Python
• ML Flow
• Databrics
• Terraform/Cloud Formation
• Azure/AWS
• Kafka/Spark
We're an international bank, nimble enough to act, big enough for impact. For more than 170 years, we've worked to make a positive difference for our clients, communities, and each other. We question the status quo, love a challenge and enjoy finding new opportunities to grow and do better than before. If you're looking for a career with purpose and you want to work for a bank making a difference, we want to hear from you. You can count on us to celebrate your unique talents and we can't wait to see the talents you can bring us.
Our purpose, to drive commerce and prosperity through our unique diversity, together with our brand promise, to be here for good are achieved by how we each live our valued behaviours. When you work with us, you'll see how we value difference and advocate inclusion.
Together we:
In line with our Fair Pay Charter, we offer a competitive salary and benefits to support your mental, physical, financial and social wellbeing.
80,000 - 140,000 USD / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
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Standard Chartered
• we are seeking a highly skilled and experienced senior mlops engineer with expertise in databricks and advanced python development for machine learning applications. The ideal candidate will play a critical role in operationalizing machine learning models, building scalable pipelines, and developing robust python-based solutions to support ml workflows. You will collaborate with data scientists, data engineers, and software developers to deploy, monitor, and optimize machine learning systems in production environments.
Responsibilities
• Design, implement, and maintain MLOps pipelines for deploying and monitoring machine learning models in Databricks.
• Develop advanced Python-based solutions for machine learning workflows, including custom libraries, utilities, and frameworks.
• Collaborate with data scientists to automate the training, testing, and deployment of ML models using Python and Databricks MLflow.
• Build scalable and efficient ETL pipelines for data preprocessing and feature engineering in Databricks.
• Implement CI/CD pipelines for machine learning workflows using tools like Azure DevOps, GitHub Actions, or Jenkins.
• Write high-quality, modular, and reusable Python code for ML model deployment and monitoring.
• Optimize Python-based ML code for performance, scalability, and maintainability.
• Manage and optimize Databricks clusters, including cost management and performance tuning.
• Monitor and troubleshoot production ML systems, ensuring reliability and low latency.
• Ensure compliance with security and governance policies for data and models.
• Stay updated with the latest trends and best practices in MLOps, Python development, Databricks, and cloud technologies.
Strategy
• Understand the bank’s MLOps strategy and implement automation solutions to enhance the machine learning model lifecycle, from development to deployment and monitoring.
Business
• Collaborate with application delivery teams to adopt and implement MLOps pipeline solutions, enhancing delivery efficiency and operational maturity.
Processes
• Understand the bank’s software delivery processes and implement MLOps solutions that align with compliance and security requirements.
People & Talent
• Collaborate with diverse engineers in sprint delivery, create technical documentation, prepare training materials, provide technical support, and conduct sessions to onboard and accelerate adoption by application delivery teams.
Risk Management
• Understand bank’s risk management framework and embed that into the technology solution being delivered.
Governance
• Understand bank’s software delivery & quality assurance framework and assist in solutioning in respective governance activity.
Regulatory & Business Conduct
• Display exemplary conduct and live by the Group’s Values and Code of Conduct.
• Take personal responsibility for embedding the highest standards of ethics, including regulatory and business conduct, across Standard Chartered Bank. This includes understanding and ensuring compliance with, in letter and spirit, all applicable laws, regulations, guidelines and the Group Code of Conduct.
• Effectively and collaboratively identify, escalate, mitigate and resolve risk, conduct and compliance matters.
Key stakeholders
• Delivery Leads
• Engineering Team
• Architect
• CI/CD Tools
• Python
• ML Flow
• Databrics
• Terraform/Cloud Formation
• Azure/AWS
• Kafka/Spark
We're an international bank, nimble enough to act, big enough for impact. For more than 170 years, we've worked to make a positive difference for our clients, communities, and each other. We question the status quo, love a challenge and enjoy finding new opportunities to grow and do better than before. If you're looking for a career with purpose and you want to work for a bank making a difference, we want to hear from you. You can count on us to celebrate your unique talents and we can't wait to see the talents you can bring us.
Our purpose, to drive commerce and prosperity through our unique diversity, together with our brand promise, to be here for good are achieved by how we each live our valued behaviours. When you work with us, you'll see how we value difference and advocate inclusion.
Together we:
In line with our Fair Pay Charter, we offer a competitive salary and benefits to support your mental, physical, financial and social wellbeing.
80,000 - 140,000 USD / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Get personalized recommendations to optimize your resume specifically for Fullstack ML Engineer. Takes only 15 seconds!
Find out how well your resume matches this job's requirements. Get comprehensive analysis including ATS compatibility, keyword matching, skill gaps, and personalized recommendations.


Answer 10 quick questions to check your fit for Fullstack ML Engineer @ Standard Chartered.
No related jobs found at the moment.
© 2026 Pro Partners. All rights reserved.