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Machine Learning Engineer

Pay
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Work setting
On-site — work setting source
Work setup in the employer’s posting: On-site
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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 posting
  • Build & Scale ML Systems: Design, develop, test, deploy, and maintain machine learning solutions using software engineering best practices.

  • Own the ML Lifecycle: Implement and manage end-to-end ML workflows using MLOps practices in both cloud and on-prem environments.

  • Collaborate Globally: Partner with data scientists, software engineers, and product experts in cross-functional, international teams.

From the employer’s posting
What You’ll Do Build & Scale ML Systems: Design, develop, test, deploy, and maintain machine learning solutions using software engineering best practices. Productionize Prototypes: Transform data science models into scalable, production-ready systems for real-world applications.
Productionize Prototypes: Transform data science models into scalable, production-ready systems for real-world applications. Own the ML Lifecycle: Implement and manage end-to-end ML workflows using MLOps practices in both cloud and on-prem environments. Collaborate Globally: Partner with data scientists, software engineers, and product experts in cross-functional, international teams.
Own the ML Lifecycle: Implement and manage end-to-end ML workflows using MLOps practices in both cloud and on-prem environments. Collaborate Globally: Partner with data scientists, software engineers, and product experts in cross-functional, international teams. Drive Engineering Excellence: Develop and refine tools, methods, and best practices to elevate ML engineering standards.

What you’ll bring

All qualifications

Core experience

  • Degree in computer science, engineering, statistics, or a related field (BSc, MSc, or PhD).
  • Experience with cloud environments (AWS, GCP)
  • 4+ years of experience in machine learning software development.
  • Familiarity with MLflow or similar ML lifecycle tools.
  • Strong Python skills and experience with ML libraries and frameworks.
  • Experience with agile development practices.
Qualification wording
Degree in computer science, engineering, statistics, or a related field (BSc, MSc, or PhD).
Experience with cloud environments (AWS, GCP)
4+ years of experience in machine learning software development.
Familiarity with MLflow or similar ML lifecycle tools.
Strong Python skills and experience with ML libraries and frameworks.
Experience with agile development practices.
Education & alternatives
Must-Haves - Degree in computer science, engineering, statistics, or a related field (BSc, MSc, or PhD). - 4+ years of experience in machine learning software development.

About NielsenIQ

At NIQ, we are steadfast in our commitment to fostering an inclusive workplace that mirrors the rich diversity of the communities and markets we serve.

In the employer’s words · Read in context

Apply at NielsenIQ

Posting record

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Actively hiringFirst seen by us 13 days ago, still listed, and not a repost of an earlier posting.

Status in our records
Live
First seen by us
Oct 22, 202613 days ago
Recorded sightings
101
Last seen by us
Nov 4, 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

Time since we first saw it

Day 13

Similar jobs usually come down between day 6 and day 69.

From 4,284 similar postings that came down. Coming down is not always a hire.

NielsenIQ is hiring

78 open jobs

Open jobs by the week we first saw them, last 12 weeks.

  • Hiring at a steady pace
  • Takes jobs down quickly
  • 19% of open jobs were reposted
Hiring record

See 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.

  • Python
  • SQL
  • AWS
  • BigQuery
  • Docker
  • GCP
  • Kubernetes
  • MLflow
  • PostgreSQL
  • Grafana
Where the posting names them
Tech Stack You’ll Work With - Languages & Frameworks: Python, SQL, Argo, Kubeflow, MLflow - CI/CD Tools: GitLab CI
- 4+ years of experience in machine learning software development. - Strong Python skills and experience with ML libraries and frameworks. - Solid experience working in large-scale database environments.
Nice-to-Haves - Experience with cloud environments (AWS, GCP) - Familiarity with MLflow or similar ML lifecycle tools.
- Containers & Orchestration: Docker, Kubernetes - Databases: PostgreSQL, BigQuery, RDBMS Qualifications
- Monitoring: Prometheus, Grafana - Containers & Orchestration: Docker, Kubernetes - Databases: PostgreSQL, BigQuery, RDBMS
- Solid experience working in large-scale database environments. - Knowledge of containerization and orchestration (Docker, Kubernetes). - Solid experience with production-level code quality and collaboration with software/testing engineers.
- Experience with cloud environments (AWS, GCP) - Familiarity with MLflow or similar ML lifecycle tools. - Experience with agile development practices.
- CI/CD Tools: GitLab CI - Monitoring: Prometheus, Grafana - Containers & Orchestration: Docker, Kubernetes

Your next step

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Has NielsenIQ posted this job before?

Yes. We’ve followed 5 other Machine Learning Engineer jobs there since May 2026. 4 came down, usually after about 8 days. One is still up.

  1. Chennai/PuneCame down after 0 days, first seen May 13
  2. BucharestCame down after 74 days, first seen Jun 15
  3. Kuala LumpurCame down after 15 days, first seen Aug 13
  4. VadodaraCame down after 1 day, first seen Oct 14
  5. Kuala LumpurStill up after 19 days, first seen Oct 16
  6. This jobUp 13 days so far, first seen Oct 22

Large employers often post one title for several teams, so these can be separate openings.

About the role

We file this job under ML Engineer, by the work the posting describes.

ML engineers put machine learning models into products. They write the code that trains, ships, serves and monitors models so a recommendation or prediction works for real users.

Postings ask for strong Python and software engineering, a framework such as PyTorch, cloud services, and more and more often experience with large language models.

A data scientist often works out which model to build; an ML engineer makes it run reliably in production.

US government figures for computer and information research scientists

Median yearly pay, May 2025
$140,300
Expected change, 2025 to 2035
21.8% more jobsagainst 3.5% for all jobs

The government has no code for ML engineers, so these figures are for the closest group, computer and information research scientists.

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1221.

Job description

View original posting ↗

Job Description

As a Senior Machine Learning Engineer, you’ll play a key role in turning innovative ML research into scalable, real-world solutions that power global decision-making. At NiQ, we’re looking for someone to join our Tech & Durable Global Data Science team, working at the intersection of data science and engineering to transform cutting-edge research into robust, production-ready systems. 

If you're excited by cloud technologies, MLOps, and solving complex problems with smart, data-driven approaches, and you thrive in a collaborative, learning-focused environment, this role is for you. 

What You’ll Do 

  • Build & Scale ML Systems: Design, develop, test, deploy, and maintain machine learning solutions using software engineering best practices. 

  • Productionize Prototypes: Transform data science models into scalable, production-ready systems for real-world applications. 

  • Own the ML Lifecycle: Implement and manage end-to-end ML workflows using MLOps practices in both cloud and on-prem environments. 

  • Collaborate Globally: Partner with data scientists, software engineers, and product experts in cross-functional, international teams. 

  • Drive Engineering Excellence: Develop and refine tools, methods, and best practices to elevate ML engineering standards. 

  • Mentor, Share & Grow: Support team development through mentoring, contribute to internal Communities of Practice, and engage in training and cross-functional learning opportunities. 

  • Shape the Future of ML: Influence the direction of ML engineering at NIQ by contributing to strategic initiatives and technical roadmaps. 

Tech Stack You’ll Work With 

  • Languages & Frameworks: Python, SQL, Argo, Kubeflow, MLflow 

  • CI/CD Tools: GitLab CI 

  • Monitoring: Prometheus, Grafana 

  • Containers & Orchestration: Docker, Kubernetes 

  • Databases: PostgreSQL, BigQuery, RDBMS 

Qualifications

Must-Haves 

  • Degree in computer science, engineering, statistics, or a related field (BSc, MSc, or PhD). 

  • 4+ years of experience in machine learning software development. 

  • Strong Python skills and experience with ML libraries and frameworks. 

  • Solid experience working in large-scale database environments. 

  • Knowledge of containerization and orchestration (Docker, Kubernetes). 

  • Solid experience with production-level code quality and collaboration with software/testing engineers. 

  • Solid understanding of statistical methods and machine learning algorithms  

  • Excellent stakeholder management and communication skills to align technical solutions with business needs.  

  • Ability to work independently and asynchronously as part of a distributed team 

  • Professional working proficiency in English 

Nice-to-Haves 

  • Experience with cloud environments (AWS, GCP) 

  • Familiarity with MLflow or similar ML lifecycle tools. 

  • Experience with agile development practices. 

  • Background in forecasting, pricing, revenue assurance, or media analytics is a plus. 

Additional Information

Benefits:

• Exciting work environment that brings people together.

• Use the latest digital technologies.

• Ongoing trainings to support your development.

• Opportunities for personal and professional growth.

• Hybrid work

Our Benefits

  • Flexible working environment
  • Volunteer time off
  • LinkedIn Learning
  • Employee-Assistance-Program (EAP)

NIQ may utilize artificial intelligence (AI) tools at various stages of the recruitment process, including résumé screening, candidate assessments, interview scheduling, job matching, communication support, and certain administrative tasks that help streamline workflows. These tools are intended to improve efficiency and support fair and consistent evaluation based on job-related criteria. All use of AI is governed by NIQ’s principles of fairness, transparency, human oversight, and inclusion. Final hiring decisions are made exclusively by humans. NIQ regularly reviews its AI tools to help mitigate bias and ensure compliance with applicable laws and regulations. If you have questions, require accommodations, or wish to request human review were permitted by law, please contact your local HR representative. For more information, please visit NIQ’s AI Safety Policies and Guiding Principles: https://nielseniq.com/global/en/info/niqs-ai-safety-policies/

About NIQ

NIQ is the world’s leading consumer intelligence company, delivering the most complete understanding of consumer buying behavior and revealing new pathways to growth. In 2023, NIQ combined with GfK, bringing together the two industry leaders with unparalleled global reach. With a holistic retail read and the most comprehensive consumer insights—delivered with advanced analytics through state-of-the-art platforms—NIQ delivers the Full View™. NIQ is an Advent International portfolio company with operations in 100+ markets, covering more than 90% of the world’s population.

For more information, visit NIQ.com

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Our commitment to Diversity, Equity, and Inclusion

At NIQ, we are steadfast in our commitment to fostering an inclusive workplace that mirrors the rich diversity of the communities and markets we serve. We believe that embracing a wide range of perspectives drives innovation and excellence.  All employment decisions at NIQ are made without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, marital status, veteran status, or any other characteristic protected by applicable laws. We invite individuals who share our dedication to inclusivity and equity to join us in making a meaningful impact. To learn more about our ongoing efforts in diversity and inclusion, please visit the https://nielseniq.com/global/en/news-center/diversity-inclusion

Company Description

NielsenIQ is a consumer intelligence company that delivers the Full View™, the world’s most complete and clear understanding of consumer buying behavior that reveals new pathways to growth. Since 1923, NIQ has moved measurement forward for industries and economies across the globe. We are putting the brightest and most dedicated minds together to accelerate progress. By embracing our diversity, we inspire each other to excel and create a lasting impact through our work and the people we collaborate with. NielsenIQ offers a range of products and services that leverage Machine Learning and Artificial Intelligence to provide insights into consumer behavior and market trends. This position opens the opportunity to apply the latest state of the art in AI/ML and data science to global and key strategic projects.

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Location & working pattern

Kuala Lumpur, 14, Malaysia

• Opportunities for personal and professional growth. • Hybrid work Our Benefits
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