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AI / MLOps Engineer
Bydgoszcz, PL
Actively hiring, first seen by us 1 day ago- Pay
- Pay not listed
- Work setting
- Not stated
- Employment
- Not stated
Before you apply
- Work authorization
- EU citizens only
Please note: Due to project requirements, applicants must hold citizenship of an EU Member State
What you’ll work on
Full postingDesign and implement scalable ML pipelines for training, deployment and monitoring
Automate data ingestion, preprocessing and feature engineering workflows
Integrate AI/ML models into enterprise applications and APIs
Develop and maintain CI/CD pipelines for Machine Learning systems
Monitor model performance, detect drift and automate retraining processes
From the employer’s posting
Design and implement scalable ML pipelines for training, deployment and monitoring
Automate data ingestion, preprocessing and feature engineering workflows
Integrate AI/ML models into enterprise applications and APIs
Develop and maintain CI/CD pipelines for Machine Learning systems
Monitor model performance, detect drift and automate retraining processes
What you’ll bring
All qualificationsCore experience
- 3+ years in AI/ML Engineering, MLOps or related roles
- Strong Python programming skills
- Experience deploying ML models into production environments
- Hands-on experience with Azure, AWS or GCP
- Knowledge of Docker, Kubernetes and CI/CD practices
Qualification wording
3+ years of experience in AI/ML Engineering, MLOps or related roles
Strong Python programming skills
Experience deploying ML models into production environments
Hands-on experience with Azure, AWS or GCP
Knowledge of Docker, Kubernetes and CI/CD practices
About ATOS International
Atos Group is a global leader in digital transformation with c.
In the employer’s words · Read in context
Posting record
Report an errorActively hiringFirst seen by us 1 day ago, still listed, and not a repost of an earlier posting.
- Status in our records
- Live
- First seen by us
- Nov 5, 20261 day ago
- Recorded sightings
- 2
- Last seen by us
- Nov 6, 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
ATOS International is hiring
18 open jobs
Open jobs by the week we first saw them, last 12 weeks.
Hiring recordSee 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
- AWS
- Azure
- Docker
- GCP
- Grafana
- Kafka
- Kubernetes
- MLflow
- Spark
- Terraform
- Airflow
- PyTorch
- scikit-learn
- TensorFlow
Where the posting names them
- 3+ years of experience in AI/ML Engineering, MLOps or related roles - Strong Python programming skills - Experience deploying ML models into production environments
Technologies We Use Python, TensorFlow, PyTorch, Scikit-Learn, MLflow, Kubeflow, Airflow, Docker, Kubernetes, Azure, AWS, GCP, Spark, Kafka, Terraform, Prometheus, Grafana Nice to Have
- Experience deploying ML models into production environments - Hands-on experience with Azure, AWS or GCP - Knowledge of Docker, Kubernetes and CI/CD practices
- Monitor model performance, detect drift and automate retraining processes - Deploy AI workloads using Docker and Kubernetes - Ensure security, compliance and operational excellence across AI services
- Hands-on experience with Azure, AWS or GCP - Knowledge of Docker, Kubernetes and CI/CD practices - Experience with monitoring and observability tools
Your next step
Complete your application on jobs.atos.net. The employer’s form will show what is required.
Applying through SAP SuccessFactors
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Already applied? Track this application
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.
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
Atos is the Atos Group brand dedicated to AI-powered, secure, end-to-end digital services. Atos designs, develops, and operates critical digital environments that drive performance, resilience and sovereignty, helping public and private organizations worldwide retain control over their data and infrastructures, while meeting regulatory requirements.
With more than 52,000 employees serving over 4,500 clients across 54 countries, Atos helps modernize core IT systems, accelerate cloud and data transformation, strengthen cybersecurity, and deliver secure digital workplace environments to support its clients, its employees and society. Atos also provides consulting and advisory services through its Atos Amplify brand.
A trusted partner in operating complex and mission-critical environments, Atos supports organizations across highly regulated and sovereign contexts.
About Atos Group
Atos Group is a global leader in digital transformation with c. 54,000 employees and annual revenue of c. €7.2 billion, operating in 54 countries under two brands - Atos for services and Eviden for products and systems. European number one in cybersecurity and a leader in cloud, Atos Group is committed to a secure and decarbonized future and provides tailored AI-powered, end-to-end solutions for all industries. Atos Group is listed on Euronext Paris.
Build, automte and scale enterprise AI solutions.
We are looking for an experienced AI / MLOps Engineer to help design, deploy and operate production-grade AI platforms and machine learning solutions.
If you are passionate about Machine Learning, Cloud technologies, automation and modern AI operations, we'd love to hear from you.
Key Responsibilities
- Design and implement scalable ML pipelines for training, deployment and monitoring
- Automate data ingestion, preprocessing and feature engineering workflows
- Integrate AI/ML models into enterprise applications and APIs
- Develop and maintain CI/CD pipelines for Machine Learning systems
- Monitor model performance, detect drift and automate retraining processes
- Deploy AI workloads using Docker and Kubernetes
- Ensure security, compliance and operational excellence across AI services
- Collaborate closely with Data Scientists, DevOps Engineers and Software Developers
Required Skills
- 3+ years of experience in AI/ML Engineering, MLOps or related roles
- Strong Python programming skills
- Experience deploying ML models into production environments
- Hands-on experience with Azure, AWS or GCP
- Knowledge of Docker, Kubernetes and CI/CD practices
- Experience with monitoring and observability tools
Technologies We Use
Python, TensorFlow, PyTorch, Scikit-Learn, MLflow, Kubeflow, Airflow, Docker, Kubernetes, Azure, AWS, GCP, Spark, Kafka, Terraform, Prometheus, Grafana
Nice to Have
- Experience with GenAI, LLMs or Agentic AI
- AI/Cloud certifications
- Experience working in large-scale enterprise environments
Why Join Us?
✅ Work with cutting-edge AI technologies
✅ Build solutions used in real production environments
✅ Collaborate with international technology experts
✅ Access learning, certification and professional development opportunities
Please note: Due to project requirements, applicants must hold citizenship of an EU Member State.
Here at Atos, diversity and inclusion are embedded in our DNA. Read more about our commitment to a fair work environment for all.
Atos is a recognized leader in its industry across Environment, Social and Governance (ESG) criteria. Find out more on our CSR commitment.
Choose your future. Choose Atos.
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
No pay amount identified in the saved description.
- Location & working pattern
Bydgoszcz, PL
Working pattern and location restrictions need checking in the full posting.
- Work authorization
✅ Work with cutting-edge AI technologies ✅ Build solutions used in real production environments ✅ Collaborate with international technology experts ✅ Access learning, certification and professional development opportunities Please note: Due to project requirements, applicants must hold citizenship of an EU Member State. Here at Atos, diversity and inclusion are embedded in our DNA. Read more about our commitment to a fair work environment for all.