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Compensation at Accenture varies depending on a wide array of factors including but not limited to role, level, location, effort, responsibility, skillset, and level of experience. The range of base pay for this role is: Consultant - 3,000 - 5,000 EUR gross per month Senior Analyst – 1,700 - 4,000 EUR gross per month
Consultant - 3,000 - 5,000 EUR gross per month Senior Analyst – 1,700 - 4,000 EUR gross per month Analyst – 1,400 - 2,800 EUR gross per month
Senior Analyst – 1,700 - 4,000 EUR gross per month Analyst – 1,400 - 2,800 EUR gross per month Flexible vacation + health & travel insurance + relocationRead the full posting
Employment type in the employer’s posting: Full timeFrom the employer’s posting
Due to project requirements, candidates must currently hold EU work permit and be available to start within 1 to 3 months of receiving an offer
Design and implement cloud solutions and build MLOps pipelines on AWS, Azure or GCP
Build CI/CD pipelines using GitLab CI, GitHub Actions, Circle CI, Airflow or similar
Review, refactor and optimize data science models, then containerize and deploy them
Test, validate and automate tests for data science models
Communicate with data scientists, data engineers and architects and document processes
Design and implement cloud solutions, build MLOps on cloud (AWS, Azure, or GCP)
Build CI/CD pipelines orchestration by GitLab CI, GitHub Actions, Circle CI, Airflow or similar tools
Data science model review, run the code refactoring and optimization, containerization, deployment, versioning, and monitoring of its quality
Data science models testing, validation and tests automation
Communicate with a team of data scientists, data engineers and architect, document the processes
Bachelor’s degree in Computer Science or Software Engineering
Experience in using AWS, MS Azure or GCP services.
Desired Qualifications: - Bachelor’s degree in Computer Science or Software Engineering - Experience in using AWS, MS Azure or GCP services.
From the employer’s posting.
Accenture is a leading global professional services company that helps the world’s leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services—creating tangible value at speed and scale.
In the employer’s words · Read in context
Actively hiringFirst seen by us today, still listed, and not a repost of an earlier posting.
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
Day 0
Early. 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.
202 open jobs
Open jobs by the week we first saw them, last 12 weeks.
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.
- Experience with MLOps Frameworks like Kubeflow, MLFlow, DataRobot, Airflow etc., experience with Docker and Kubernetes, OpenShift - Programming languages like Python, Go, Ruby or Bash, good understanding of Linux, knowledge of frameworks such as scikit-learn, Keras, PyTorch, Tensorflow, etc. - Ability to understand tools used by data scientist and experience with software development and test automation
Key responsibilities: - Design and implement cloud solutions, build MLOps on cloud (AWS, Azure, or GCP) - Build CI/CD pipelines orchestration by GitLab CI, GitHub Actions, Circle CI, Airflow or similar tools
Required Qualifications: - Ability to design and implement cloud solutions and ability to build MLOps pipelines on cloud solutions (AWS, MS Azure or GCP) - Experience with MLOps Frameworks like Kubeflow, MLFlow, DataRobot, Airflow etc., experience with Docker and Kubernetes, OpenShift
- Bachelor’s degree in Computer Science or Software Engineering - Experience in using AWS, MS Azure or GCP services. - Good to have any associate Cloud Certification
- Ability to design and implement cloud solutions and ability to build MLOps pipelines on cloud solutions (AWS, MS Azure or GCP) - Experience with MLOps Frameworks like Kubeflow, MLFlow, DataRobot, Airflow etc., experience with Docker and Kubernetes, OpenShift - Programming languages like Python, Go, Ruby or Bash, good understanding of Linux, knowledge of frameworks such as scikit-learn, Keras, PyTorch, Tensorflow, etc.
- Design and implement cloud solutions, build MLOps on cloud (AWS, Azure, or GCP) - Build CI/CD pipelines orchestration by GitLab CI, GitHub Actions, Circle CI, Airflow or similar tools - Data science model review, run the code refactoring and optimization, containerization, deployment, versioning, and monitoring of its quality
Complete your application on accenture.wd103.myworkdayjobs.com. The employer’s form will show what is required.
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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.
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.
MLOps is a set of management techniques for the deep learning or production ML lifecycle, formed from machine learning or ML and operations or Ops. These include ML and DevOps methods, as well as data engineering processes for deploying and maintaining machine learning models in production.
Benefits:
Compensation at Accenture varies depending on a wide array of factors including but not limited to role, level, location, effort, responsibility, skillset, and level of experience. The range of base pay for this role is:
Key responsibilities:
Required Qualifications:
Ability to design and implement cloud solutions and ability to build MLOps pipelines on cloud solutions (AWS, MS Azure or GCP)
Experience with MLOps Frameworks like Kubeflow, MLFlow, DataRobot, Airflow etc., experience with Docker and Kubernetes, OpenShift
Programming languages like Python, Go, Ruby or Bash, good understanding of Linux, knowledge of frameworks such as scikit-learn, Keras, PyTorch, Tensorflow, etc.
Ability to understand tools used by data scientist and experience with software development and test automation
Fluent in English, good communication skills and ability to work in a team
Desired Qualifications:
Bachelor’s degree in Computer Science or Software Engineering
Experience in using AWS, MS Azure or GCP services.
Good to have any associate Cloud Certification
Due to project requirements, candidates must currently hold EU work permit and be available to start within 1 to 3 months of receiving an offer.
#LI-EU
About Accenture
Accenture is a leading global professional services company that helps the world’s leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services—creating tangible value at speed and scale. We are a talent- and innovation-led company with approximately 791,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world’s leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360° value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360° value we create for our clients, each other, our shareholders, partners and communities.Visit us at www.accenture.com
Equal Employment Opportunity Statement
We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, sexual orientation, gender identity or expression, marital status, citizenship status or any other basis as protected by applicable law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities.
Selected passages from the saved posting. Check the full description for conditions and exceptions.
Compensation at Accenture varies depending on a wide array of factors including but not limited to role, level, location, effort, responsibility, skillset, and level of experience. The range of base pay for this role is: Consultant - 3,000 - 5,000 EUR gross per month Senior Analyst – 1,700 - 4,000 EUR gross per month
Consultant - 3,000 - 5,000 EUR gross per month Senior Analyst – 1,700 - 4,000 EUR gross per month Analyst – 1,400 - 2,800 EUR gross per month
More relevant text appears in the full description.
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Working pattern and location restrictions need checking in the full posting.
Due to project requirements, candidates must currently hold EU work permit and be available to start within 1 to 3 months of receiving an offer. #LI-EU
More relevant text appears in the full description.