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MLOps Engineer (f/m/div.)

Pay
Pay not listed
Work setting
On-site — work setting source
Work setup in the employer’s posting: On-site
From the employer’s posting
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
  • Design the technical architecture of a self-service MLOps platform

  • Build infrastructure as code with Terraform to provision cloud resources

  • Implement security measures for data, ML models and artefacts

  • Build monitoring dashboards and alerts for platform issues

  • Write and maintain documentation for MLOps processes and infrastructure

From the employer’s posting
Collaborate on the technical design of a MLOps platform that provides a self-service approach
Design and implement Infrastructure as Code (IaC) solutions for provisioning and managing cloud resources using Terraform
Implement robust security measures to protect sensitive data, ML models, and other artefacts
Implement monitoring dashboards and alerts to proactively identify and resolve MLOps platform issues
Develop and maintain comprehensive documentation for MLOps processes and infrastructure

What you’ll bring

All qualifications

Core experience

  • 3+ years of experience in MLOps, Data Engineering, DevOps, or similar roles.
  • Good understanding of the ML development process and model life cycle.
  • Experience working in Agile/SAFe environments.
  • Good understanding of DevOps principles and practices.
  • Experience designing, implementing, integrating, and maintaining MLOps solutions or CI/CD pipelines.
  • Experience with Azure services, and Microsoft Entra ID.
Qualification wording
3+ years of experience in MLOps, Data Engineering, DevOps, or similar roles.
Good understanding of the ML development process and model life cycle.
Experience working in Agile/SAFe environments.
Good understanding of DevOps principles and practices.
Experience designing, implementing, integrating, and maintaining MLOps solutions or CI/CD pipelines.
Experience with Azure services, and Microsoft Entra ID.
Education & alternatives
Education: • MSc or Ph.D. in Software Engineering, Computer Science, Data Science, Machine Learning, or a related field. Experience:
Apply at Bosch Group

Posting record

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Status in our records
Live
First seen by us
Oct 15, 202624 days ago
Recorded sightings
1
Last seen by us
Nov 5, 2026
Employer says posted
Sep 10, 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 24

Similar jobs usually come down between day 7 and day 72.

At Bosch Group, jobs usually come down by about day 18.

From 4,658 similar postings that came down, and 307 of Bosch Group’s. Coming down is not always a hire.

Bosch Group is hiring

46 open jobs

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

  • Hiring is picking up
  • Takes jobs down quickly
  • 17% 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.

  • Bash
  • Python
  • Azure
  • Kubernetes
  • Terraform
Where the posting names them
- Experience designing, implementing, integrating, and maintaining MLOps solutions or CI/CD pipelines. - Good scripting and automation skills with Python and Bash. - Experience with Azure services, and Microsoft Entra ID.
- Good scripting and automation skills with Python and Bash. - Experience with Azure services, and Microsoft Entra ID. - Good understanding of Terraform, GitHub Actions, and Kubernetes.
- Experience with Azure services, and Microsoft Entra ID. - Good understanding of Terraform, GitHub Actions, and Kubernetes. - Basic understanding of Ansible.
Hybrid ML-loop Implementation: - Design and implement Infrastructure as Code (IaC) solutions for provisioning and managing cloud resources using Terraform. - Implement robust security measures to protect sensitive data, ML models, and other artefacts.

Your next step

Complete your application on jobs.smartrecruiters.com. The employer’s form will show what is required.

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Has Bosch Group posted this job before?

Yes. We’ve followed one other MLOps Engineer (f/m/div.) job there since May 2026. It came down after 154 days.

  1. BragaCame down after 154 days, first seen May 28
  2. This jobUp 25 days so far, first seen Oct 15

Demand for ML Engineer roles

New ML Engineer postings at the employers we follow are up 12% over the last 5 weeks compared with the 5 before.

Weekly new ML Engineer postings at the same employers, from the week of August 17 to the week of October 26. The fewest in a week was 619, the most 1,091, and the latest week had 863.
August 17Last week

Each bar is one week of new postings. The darkest bars are the last 5 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 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

MLOps Strategy & Architecture:

  • Collaborate on the MLOps strategy for our cloud environment, ensuring alignment with business objectives, security requirements, and best practices.
  • Collaborate on the technical design of a MLOps platform that provides a self-service approach to the MLOps loop problems, such as data ingestion, feature engineering, model training, model validation, model deployment, model monitoring.
  • Develop and maintain comprehensive documentation for MLOps processes and infrastructure.

Hybrid ML-loop Implementation:

  • Design and implement Infrastructure as Code (IaC) solutions for provisioning and managing cloud resources using Terraform.
  • Implement robust security measures to protect sensitive data, ML models, and other artefacts.
  • Implement new functionalities while ensuring key non-functional properties of the model development toolchain, particularly reproducibility.
  • Implement monitoring dashboards and alerts to proactively identify and resolve MLOps platform issues.

• Collaboration & Leadership:

  • Work closely with ML engineers, data scientists, software engineers, and infrastructure teams to deliver a high-quality MLOps solution.
  • Communicate effectively with stakeholders at all levels, including technical and non-technical audiences.
  • Stay up to date with the latest MLOps trends and technologies and adopt new approaches.
  • Participate in code reviews and contribute to the development of best practices

Qualifications

Education:
• MSc or Ph.D. in Software Engineering, Computer Science, Data Science, Machine Learning, or a related field.


Experience:

  • 3+ years of experience in MLOps, Data Engineering, DevOps, or similar roles.

Technical Skills:

  • Good understanding of the ML development process and model life cycle.
  • Good understanding of DevOps principles and practices.
  • Experience designing, implementing, integrating, and maintaining MLOps solutions or CI/CD pipelines.
  • Good scripting and automation skills with Python and Bash.
  • Experience with Azure services, and Microsoft Entra ID.
  • Good understanding of Terraform, GitHub Actions, and Kubernetes.
  • Basic understanding of Ansible.
  • Experience with GNU/Linux systems as key development environment.

 Soft Skills:

  • Excellent problem-solving skills.
  • Effective communication skills, team player, and capable of collaborating across functional areas.
  • Proactive, customer and result-oriented personality.
  • Experience working in Agile/SAFe environments.
  • Fluent in English, written and spoken.

Additional Information

What we offer you:

Challenges in an international environment | career opportunities in one of the best companies in the world | flexible hours | medical services | discounts for employees | sports and health related activities | canteen | good access to public transports | space for creativity.

Success stories don´t just happen. They are made...

Make it happen! We are looking forward to your application!

Company Description

Welcome to Bosch

At Bosch, we shape the future by inventing high-quality technologies and services that spark enthusiasm and enrich people’s lives. Our promise to our associates is rock-solid: we grow together, we enjoy our work, and we inspire each other. Join in and feel the difference.

With over 300 specialized associates and around 15 nationalities, Bosch activities in Lisbon are focusing on sales, marketing, communication, training, nearshoring services and shared support for human resources services to Europe. The diversity, commitment and know-how of the team are the key success factors of this organization.

Bosch Service Solutions develops and delivers Customer Experience, Mobility and Monitoring solutions for companies and their customers.

Our teams find fast and efficient solutions for thousands of people on a daily basis – from claim management to life-saving emergency calls, among other services. Define the standards and become a pioneer together with around 9000 associates worldwide.

Source details

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Location & working pattern

Braga, Portugal

- Develop and maintain comprehensive documentation for MLOps processes and infrastructure. Hybrid ML-loop Implementation: - Design and implement Infrastructure as Code (IaC) solutions for provisioning and managing cloud resources using Terraform.
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