Middle MLOps Engineer Job at Vention (Krakow)

Middle MLOps Engineer

Vention is a global engineering partner to tech leaders and fast-growing startup...

Location

Poland , Gdansk

Salary:

8000.00 PLN / Month

Vention

Expiration Date

Until further notice

Requirements

Experience in cloud platform engineering, DevOps, MLOps, or a similar field
Expertise in cloud platforms (e.g., Microsoft Azure), containerization technologies (Docker, Kubernetes), and CI/CD tools (ArgoCD, Azure DevOps, Helm)
Experience building ML infrastructure and familiarity with machine learning concepts
Ability to design scalable, secure, and efficient cloud systems, and familiarity with security and compliance standards in enterprise-grade cloud environments
Proficiency in Python programming and familiarity with LLM/MLOps best practices
Genuine drive to learn emerging paradigms and best practices in generative AI and agentic AI
A passion for collaboration, problem-solving, and fostering a culture of continuous improvement

Job Responsibility

Collaborate with multiple product teams to implement Security, Data Protection and MLOps strategies that fuel business growth and ensure High Availability for AI/ML workloads
Implement and manage Continuous Deployment (CD) pipelines using tools such as ArgoCD and Helm
Ensure compliance with security standards and architect and deploy scalable enterprise-grade cloud infrastructure for ML workloads using industry standard tools like Kubernetes
Develop and maintain Infrastructure as Code (IaC) using tools like Terraform
Implement robust model performance, cost, drift monitoring, and logging practices with tools like Prometheus, Langfuse, etc.
Build and automate end-to-end ML pipelines: data ingestion, feature engineering, model training, validation, deployment, and monitoring
Champion MLOps best practices across the organization, mentoring and training stakeholders on tools and methodologies

What we offer

EDU corporate community (300+ members): tech communities, interest clubs, events, a small R&D lab, a knowledge base, and a dedicated AI track
Licenses for AI tools: GitHub Copilot, Cursor, and others
Private medical care with LuxMed
Kafeteria MyBenefit credits for stores, restaurants, and cafés
Access to a Multisport membership to stay active
Glasses reimbursement program
Referral bonuses for bringing in new talent

Fulltime

Middle MLOps Engineer

Join our award-winning DevOps practice, recognized as "Best DevOps Services" at ...

Location

Poland , Wroclaw

Salary:

8000.00 PLN / Month

Vention

Expiration Date

Until further notice

Requirements

Experience in cloud platform engineering, DevOps, MLOps, or a similar field
Expertise in cloud platforms (e.g., Microsoft Azure), containerization technologies (Docker, Kubernetes), and CI/CD tools (ArgoCD, Azure DevOps, Helm)
Experience building ML infrastructure and familiarity with machine learning concepts
Ability to design scalable, secure, and efficient cloud systems, and familiarity with security and compliance standards in enterprise-grade cloud environments
Proficiency in Python programming and familiarity with LLM/MLOps best practices
Genuine drive to learn emerging paradigms and best practices in generative AI and agentic AI
A passion for collaboration, problem-solving, and fostering a culture of continuous improvement

Job Responsibility

Collaborate with multiple product teams to implement Security, Data Protection and MLOps strategies that fuel business growth and ensure High Availability for AI/ML workloads
Implement and manage Continuous Deployment (CD) pipelines using tools such as ArgoCD and Helm
Ensure compliance with security standards and architect and deploy scalable enterprise-grade cloud infrastructure for ML workloads using industry standard tools like Kubernetes
Develop and maintain Infrastructure as Code (IaC) using tools like Terraform
Implement robust model performance, cost, drift monitoring, and logging practices with tools like Prometheus, Langfuse, etc.
Build and automate end-to-end ML pipelines: data ingestion, feature engineering, model training, validation, deployment, and monitoring
Champion MLOps best practices across the organization, mentoring and training stakeholders on tools and methodologies

What we offer

EDU corporate community (300+ members): tech communities, interest clubs, events, a small R&D lab, a knowledge base, and a dedicated AI track
Licenses for AI tools: GitHub Copilot, Cursor, and others
Private medical care with LuxMed
Kafeteria MyBenefit credits for stores, restaurants, and cafés
Access to a Multisport membership to stay active
Glasses reimbursement program
Referral bonuses for bringing in new talent

Fulltime

Middle MLOps Engineer

Join our award-winning DevOps practice, recognized as "Best DevOps Services" at ...

Location

Poland , Lodz

Salary:

8000.00 PLN / Month

Vention

Expiration Date

Until further notice

Requirements

Experience in cloud platform engineering, DevOps, MLOps, or a similar field
Expertise in cloud platforms (e.g., Microsoft Azure), containerization technologies (Docker, Kubernetes), and CI/CD tools (ArgoCD, Azure DevOps, Helm)
Experience building ML infrastructure and familiarity with machine learning concepts
Ability to design scalable, secure, and efficient cloud systems, and familiarity with security and compliance standards in enterprise-grade cloud environments
Proficiency in Python programming and familiarity with LLM/MLOps best practices
Genuine drive to learn emerging paradigms and best practices in generative AI and agentic AI
A passion for collaboration, problem-solving, and fostering a culture of continuous improvement

Job Responsibility

Collaborate with multiple product teams to implement Security, Data Protection and MLOps strategies that fuel business growth and ensure High Availability for AI/ML workloads
Implement and manage Continuous Deployment (CD) pipelines using tools such as ArgoCD and Helm
Ensure compliance with security standards and architect and deploy scalable enterprise-grade cloud infrastructure for ML workloads using industry standard tools like Kubernetes
Develop and maintain Infrastructure as Code (IaC) using tools like Terraform
Implement robust model performance, cost, drift monitoring, and logging practices with tools like Prometheus, Langfuse, etc.
Build and automate end-to-end ML pipelines: data ingestion, feature engineering, model training, validation, deployment, and monitoring
Champion MLOps best practices across the organization, mentoring and training stakeholders on tools and methodologies

What we offer

EDU corporate community (300+ members): tech communities, interest clubs, events, a small R&D lab, a knowledge base, and a dedicated AI track
Licenses for AI tools: GitHub Copilot, Cursor, and others
Private medical care with LuxMed
Kafeteria MyBenefit credits for stores, restaurants, and cafés
Access to a Multisport membership to stay active
Glasses reimbursement program
Referral bonuses for bringing in new talent

Fulltime

Middle MLOps Engineer

Join our award-winning DevOps practice, recognized as "Best DevOps Services" at ...

Location

Poland , Warsaw

Salary:

8000.00 PLN / Month

Vention

Expiration Date

Until further notice

Requirements

Experience in cloud platform engineering, DevOps, MLOps, or a similar field
Expertise in cloud platforms (e.g., Microsoft Azure), containerization technologies (Docker, Kubernetes), and CI/CD tools (ArgoCD, Azure DevOps, Helm)
Experience building ML infrastructure and familiarity with machine learning concepts
Ability to design scalable, secure, and efficient cloud systems, and familiarity with security and compliance standards in enterprise-grade cloud environments
Proficiency in Python programming and familiarity with LLM/MLOps best practices
Genuine drive to learn emerging paradigms and best practices in generative AI and agentic AI
A passion for collaboration, problem-solving, and fostering a culture of continuous improvement

Job Responsibility

Collaborate with multiple product teams to implement Security, Data Protection and MLOps strategies that fuel business growth and ensure High Availability for AI/ML workloads
Implement and manage Continuous Deployment (CD) pipelines using tools such as ArgoCD and Helm
Ensure compliance with security standards and architect and deploy scalable enterprise-grade cloud infrastructure for ML workloads using industry standard tools like Kubernetes
Develop and maintain Infrastructure as Code (IaC) using tools like Terraform
Implement robust model performance, cost, drift monitoring, and logging practices with tools like Prometheus, Langfuse, etc.
Build and automate end-to-end ML pipelines: data ingestion, feature engineering, model training, validation, deployment, and monitoring
Champion MLOps best practices across the organization, mentoring and training stakeholders on tools and methodologies

What we offer

EDU corporate community (300+ members): tech communities, interest clubs, events, a small R&D lab, a knowledge base, and a dedicated AI track
Licenses for AI tools: GitHub Copilot, Cursor, and others
Private medical care with LuxMed
Kafeteria MyBenefit credits for stores, restaurants, and cafés
Access to a Multisport membership to stay active
Glasses reimbursement program
Referral bonuses for bringing in new talent

Fulltime

New

Front of House Team Member

Location

United Kingdom , Cambridge

Salary:

Not provided

360 Resourcing Solutions

Expiration Date

Until further notice

Requirements

A people-person who loves good food and great company
Experience in restaurants or hospitality is a plus, but attitude and enthusiasm are just as important
Flexible with your hours

Job Responsibility

Delivering warm, attentive service — with a dash of your own personality
Guiding guests through our delicious menu of classic French dishes and wines
Creating that authentic brasserie atmosphere, casual, lively, and full of heart
Working closely with a passionate team that feels like family

What we offer

Employee meals on shift
discounts for your family and friends
great hourly rates plus a share of the tips
access to your pay early through our partnership with Stream

Fulltime

New

Incident Response Lead - Global Security

The Incident Response (IR) Lead is accountable for leading and maturing the orga...

Location

Poland; Sweden; United Kingdom , Łódź; Stockholm; London

Salary:

Not provided

Arrive

Expiration Date

Until further notice

Requirements

10+ years of experience in cybersecurity, with significant hands-on involvement in Incident Response and Detection & Response functions
Demonstrated experience leading and managing IR or SOC teams in complex environments
Strong expertise in incident response methodologies, digital forensics, threat hunting, and attacker tactics, techniques, and procedures (TTPs)
Solid understanding of security technologies (EDR, SIEM, SOAR), network protocols, operating systems, and enterprise infrastructure
Proven ability to translate technical findings into business-relevant insights and communicate effectively with senior stakeholders
Experience developing and operationalizing playbooks, detection use cases, and response frameworks
Strong analytical and problem-solving capabilities, with attention to detail under pressure
Ability to lead in high-stress situations, make informed decisions quickly, and manage competing priorities
Experience fostering a high-performing team culture focused on collaboration, ownership, and continuous improvement
Excellent written and verbal communication skills, including experience delivering executive briefings

Job Responsibility

Own and lead the Incident Response function, including strategy, governance, and operational execution
Direct and optimize daily IR operations, ensuring efficient handling of security incidents, escalations, and threat hunting activities
Act as the central coordination point during major incidents, ensuring structured response, clear communication, and minimal business disruption
Design, maintain, and continuously improve incident response playbooks, workflows, and escalation procedures
Review and quality-assure investigations, ensuring consistency in analysis, evidence handling, and decision-making
Collaborate with internal teams and external partners to ensure seamless incident management
Lead, mentor, and develop the IR team, promoting technical excellence, accountability, and continuous learning
Support crisis management activities, including participation in tabletop exercises and real-world incident coordination
Ensure alignment with regulatory, legal, and compliance requirements related to incident response and breach handling
Drive integration between detection engineering, threat intelligence, and response to enhance overall security effectiveness

Fulltime

New

Customer Service Administrator

We're looking for a reliable and detail-focused individual to join a busy office...

Location

United Kingdom , Basingstoke

Salary:

13.30 - 13.60 GBP / Hour

Office Angels

Expiration Date

Until further notice

Requirements

Good communication skills
Strong attention to detail
Confident using IT systems
Team player with a proactive attitude

Job Responsibility

Handling enquiries via phone and email
Updating customer records and processing requests
Liaising with internal teams
Resolving queries and supporting daily operations

Fulltime

New

PhD Positions in Computational Neuroscience

The PhD projects will focus on integrating methods from reinforcement learning, ...

Location

Germany , Tübingen

Salary:

Not provided

Max Planck Institute

Expiration Date

June 15, 2026

Requirements

A strong academic background (Master's or equivalent) in computational neuroscience, cognitive science, computer science, physics, mathematics, statistics, psychology, or other related fields
Strong analytical and critical thinking skills
Proficient programming skills (ideally in Python)
Excellent communication skills in English
A collaborative mindset and the ability to work responsibly within a team
Experience with computational modeling and/or advanced data analysis
Experience with reinforcement learning models
Experience with, or a strong interest in, designing and conducting human behavioral experiments

Job Responsibility

Integrating methods from reinforcement learning, dynamical systems, and artificial intelligence (AI) to develop data-driven models that can identify computational, algorithmic, and neural mechanisms underlying adaptive decision-making

What we offer

Structured training curricula
Career development programs
Networking opportunities for doctoral students
Additional financial support through wrap-up and travel grants

Fulltime

Select Country

Middle MLOps Engineer

Vention

Location:
Poland , Krakow

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Additional Information:

Job Posted:
April 02, 2026

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Our AI answers in your language

Middle MLOps Engineer

Vention

Location:Poland , Krakow

Category:IT - Software Development

Contract Type:Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Additional Information:

Job Posted:April 02, 2026

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Job Posted:
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