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MLOps Engineer

Pay
Multiple pay statements — pay source
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 + relocation
Read the full posting
Work setting
Not stated
Employment
Full-time — employment source
Employment type in the employer’s posting: Full time
From the employer’s posting

Before you apply

Work authorization
Must already have the right to work in the EUDue to project requirements, candidates must currently hold EU work permit and be available to start within 1 to 3 months of receiving an offer

What you’ll work on

Full posting
  • 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

From the employer’s posting
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

What you’ll bring

All qualifications

Preferred experience

  • Bachelor’s degree in Computer Science or Software Engineering
  • Experience in using AWS, MS Azure or GCP services.
Qualification wording
Bachelor’s degree in Computer Science or Software Engineering
Experience in using AWS, MS Azure or GCP services.
Education & alternatives
Desired Qualifications: - Bachelor’s degree in Computer Science or Software Engineering - Experience in using AWS, MS Azure or GCP services.

Benefits in the posting

Full benefits wording
  • 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:
  • Flexible vacation + health & travel insurance + relocation
  • Work from home, flexible working hours
  • Opportunities to advance career
  • An open-minded and inclusive company culture

From the employer’s posting.

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.

In the employer’s words · Read in context

Apply at Accenture

Posting record

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

Status in our records
Live
First seen by us
Nov 3, 2026today
Recorded sightings
1

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 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.

Accenture is hiring

202 open jobs

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

  • ML Engineer hiring is picking up
  • Takes jobs down quickly
  • 11% 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
  • Ruby
  • AWS
  • Azure
  • Docker
  • GCP
  • Kubernetes
  • MLflow
  • Airflow
  • Keras
  • PyTorch
  • scikit-learn
  • TensorFlow
  • Go
Where the posting names them
- 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

Your next step

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Job description

View original posting ↗

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:

  • 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
  • Flexible vacation + health & travel insurance + relocation
  • Work from home, flexible working hours
  • Work with Fortune 500 companies from different industries all over the world
  • Skills development and training opportunities, company-paid certifications
  • Opportunities to advance career
  • An open-minded and inclusive company culture

 

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
  • 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

​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.

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Source excerpts

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Pay
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
More source context
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.

Location & working pattern

Vilnius

Working pattern and location restrictions need checking in the full posting.

Work authorization
​ 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.

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