Selected: ✨ MLOps Engineer.
Selected: 🇪🇺 Europe – Remote.
Selected: 🆕 Date Added.
🕒 2 days ago
Staff Engineer architecting Zyte’s control and context planes for scalable web-data extraction. Leading Java/Python platform infrastructure, reliability, and MLOps across distributed engineering squads.
🇵🇹 Portugal – Remote
💵 €100k - €115k / year
💰 $3M Debt Financing on 2021-12
⏰ Full Time
🔴 Lead
🧑💻 Full-stack Engineer
👻 Ghost score 0%
BigQuery
Google Cloud Platform
Grafana
GRPC
HBase
Java
Kafka
Kubernetes
MySQL
Postgres
Prometheus
Python
Terraform
🕒 September 21
Senior MLOps Engineer building GCP infrastructure, deployment pipelines, and observability for production AI models. Point Wild delivers cybersecurity solutions protecting customers’ identities and personal information.
Airflow
Cloud
Docker
Google Cloud Platform
Grafana
Kubernetes
Microservices
Prometheus
Python
SQL
Terraform
🕒 September 21
Senior MLOps Engineer building GCP infrastructure, deployment pipelines, and observability for Point Wild’s cybersecurity solutions. Scaling AI models from prototypes into reliable production systems.
Airflow
Cloud
Docker
Google Cloud Platform
Grafana
Kubernetes
Microservices
Prometheus
Python
SQL
Terraform
🕒 September 21
Senior MLOps Engineer building GCP infrastructure and production ML systems. Scaling reliable AI capabilities for Point Wild’s cybersecurity protection products.
Airflow
Cloud
Docker
Google Cloud Platform
Grafana
Kubernetes
Microservices
Prometheus
Python
SQL
Terraform
🕒 September 21
Senior MLOps Engineer building GCP infrastructure, deployment pipelines, and observability for production AI. Supporting Point Wild’s cybersecurity solutions through reliable, scalable machine learning systems.
Airflow
Cloud
Docker
Google Cloud Platform
Grafana
Kubernetes
Microservices
Prometheus
Python
SQL
Terraform
🕒 September 21
Senior MLOps Engineer building scalable GCP infrastructure and ML deployment pipelines. Enabling Point Wild’s cybersecurity solutions to run reliably in production.
Airflow
Cloud
Docker
Google Cloud Platform
Grafana
Kubernetes
Microservices
Prometheus
Python
SQL
Terraform
🕒 September 21
Senior MLOps Engineer building and operating GCP infrastructure for Point Wild’s cybersecurity AI solutions. Deploying, scaling, and monitoring production machine-learning models.
Airflow
Cloud
Docker
Google Cloud Platform
Grafana
Kubernetes
Microservices
Prometheus
Python
SQL
Terraform
🕒 September 21
Senior MLOps Engineer building GCP infrastructure and ML deployment pipelines. Operationalizing AI models for Point Wild’s cybersecurity protection products.
Airflow
Cloud
Docker
Google Cloud Platform
Grafana
Kubernetes
Microservices
Prometheus
Python
SQL
Terraform
🕒 September 17
MLOps Engineer building eMAG’s scalable Google Cloud ML platform. Automating ML workflows, infrastructure, observability, and model deployment across the organization.
AWS
Azure
BigQuery
Cloud
Consul
Google Cloud Platform
Grafana
Java
Kubernetes
Linux
PHP
Prometheus
Python
Ruby
Shell Scripting
SQL
Terraform
Vault
🕒 September 9
MLOps Engineer building and operating secure, reliable ML/AI production services for Redcare Pharmacy, Europe’s leading e-pharmacy. Improving Python systems, Kubernetes infrastructure, CI/CD, and model lifecycle practices.
Docker
Jenkins
Kubernetes
Python
🕒 September 1
Senior MLOps Engineer enabling NVIDIA AI infrastructure and customer machine-learning workloads. Building distributed training, inference optimization, and cloud-native MLOps solutions.
🌐 Poland, Germany, +1 more countries – Remote
💵 zł292.5k - zł650k / year
⏰ Full Time
🟠 Senior
🤖 Machine Learning Engineer
👻 Ghost score 1%
Cloud
Kubernetes
Linux
Python
Rust
C++
Go
🕒 August 28
Senior MLOps Engineer scaling production AI pipelines for VODA.ai, whose software helps water utilities predict pipe and meter failures. Automating AWS infrastructure, ML lifecycles, and CI/CD.
🇬🇷 Greece – Remote
💰 $10M Series A - VODA.ai on 2025-06
⏰ Full Time
🟠 Senior
🤖 Machine Learning Engineer
👻 Ghost score 10%
AWS
Cloud
Docker
EC2
MongoDB
PostGIS
Postgres
Python
Scikit-Learn
Tensorflow
🕒 August 26
MLOps Engineer designing scalable ML inference, data, and deployment systems. Supporting ARRISE’s global iGaming services through cloud platforms, observability, and production model management.
Azure
Cloud
Docker
ETL
NoSQL
Python
SQL
🕒 August 21
MLOps Engineer building offline-capable data infrastructure for an AI platform. Managing Linux servers, ML tooling, pipelines, containers, monitoring, and deployment automation.
Docker
Linux
Python
🕒 August 17
Senior MLOps Engineer building edge AI infrastructure for Hudl’s smart sports cameras. Deploying optimized models across global device fleets and monitoring reliability.
🌐 Spain, United Kingdom – Remote
💰 $120M Venture Round on 2020-05
⏰ Full Time
🟠 Senior
🤖 Machine Learning Engineer
👻 Ghost score 11%
AWS
Docker
FFmpeg
IoT
Linux
Python
🕒 April 20
ML Ops Engineer building scalable ML inference platforms at a fast-scaling cloud startup. Focused on production-grade model serving and infrastructure for AI systems.
Distributed Systems
Python
Terraform
🕒 April 1
MLOps Field Engineer helping global companies embrace AI/ML using open source capabilities on cloud. Collaborating with sales leads to solve modern data architecture challenges for enterprise customers
AWS
Azure
Cloud
Google Cloud Platform
Kubernetes
Linux
Open Source
OpenStack
Python
Rust
Spark
🕒 March 28
Freelance MLOps Engineer applying expertise to enhance AI models for real-world applications. Work remotely, flexible hours, collaborating with global AI labs.
🇬🇧 United Kingdom – Remote
💵 €102 - €160 / hour
💰 $1.1M Seed Round - 10x Team on 2024-05
⏳ Contract/Temporary
🟢 Junior
🟡 Mid-level
🤖 AI Engineer
🚫👨🎓 No degree required
👻 Ghost score 44%
Airflow
Cloud
🕒 February 17
MLOps Engineer supporting an enterprise analytics and optimisation platform for international banking. Operationalising analytical models and ensuring stable production workflows in cloud environments.
Airflow
Cloud
Docker
Kubernetes
Python
🕒 February 17
MLOps Engineer responsible for operational excellence in credit risk assessment and fraud prevention. Collaborating to build and maintain machine learning models on a large scale decision intelligence platform.
AWS
Azure
Cloud
Docker
Kubernetes
Python
+2 More MLOps Engineer Jobs Available!
The average salary for remote mlops engineers in Europe is €76,848 per year. This is based on data from 66 job openings. Our advanced AI searches the internet for remote job openings and posts them on our website. We use the salary data from these job postings to calculate salary expectations.
Below is a breakdown of salary data by years of experience:
| Experience | Number of roles analyzed | Average Salary |
|---|---|---|
🟢 Junior MLOps Engineer (1-2 yrs) | 2 | €0 |
🟡 Mid-level MLOps Engineer (2-4 yrs) | 35 | €67,160 |
🟠 Senior MLOps Engineer (5-9 yrs) | 29 | €93,840 |
We analyzed 45 job listings in the last year and found it takes about 49 days for employers to close a job opening.
We reviewed 66 job postings and found the top 10 skills employers are asking for most often are:
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