Middle MLOps Engineer Job at Vention (Lodz)

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 , 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

Middle MLOps Engineer

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

Location

Poland , Krakow

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

Strong Middle Data Scientist

Are you ready to take part in the upcoming AI revolution of the business world? ...

Location

Colombia

Salary:

Not provided

Intellias

Expiration Date

Until further notice

Requirements

strong Python/SQL skills
MLOps knowledge (Airflow, MLflow, unit testing)
solid ML fundamentals
Define and own AI domain roadmaps
Leadership skills

Job Responsibility

Build and maintain AI-driven features (forecasting, classification, regression, recommender systems, LLM-powered features) for business use cases
Contribute to app features with guidance from mid/senior teammates
improve models, pipelines, and deliverables
Present results and findings to your team
identify gaps and learn to explain the product and the AI behind it
Deliver assigned tasks autonomously and on time with clear ownership
Have strong Python/SQL skills, basic MLOps knowledge (Airflow, MLflow, unit testing), and solid ML fundamentals
Own features of the app
constantly improve models, pipelines, and monitoring to ensure robust production performance
Communicate and align with internal stakeholders

New

Cover Supervisor

Secondary School Cover Supervisor (Supply) Location: Various Secondary Schools ...

Location

United Kingdom , Burgess Hill

Salary:

90.00 - 110.00 GBP / Day

Randstad

Expiration Date

July 18, 2026

Requirements

Confidence
Adaptability
Experience: Previous work with groups of young people (coaching, youth work, or school support) is highly beneficial
Education: A degree is advantageous, particularly for those considering future teacher training (PGCE/SCITT)
Logistics: As you will be working in various schools across West Sussex, reliability and a proactive approach to travel are essential

Job Responsibility

Classroom Leadership: Oversee lessons across Key Stages 3, 4, and 5, ensuring students remain on-task with work set by the department
Behaviour Management: Confidently implement each school's specific behaviour policy to maintain a positive and orderly atmosphere
Student Support: Help students access pre-set materials and stay engaged, providing general guidance without needing to be a subject specialist
Detailed Reporting: Register attendance and leave accurate notes for the returning teacher regarding lesson progress and student conduct
Professionalism: Adapt quickly to different school environments, acting as a positive role model and upholding high expectations

What we offer

Unrivalled Experience: Gain exposure to a wide variety of school settings-ideal preparation for a career in education
Flexibility: Enjoy a role that works around your schedule while providing vital support to the local community
Competitive Pay: Receive a competitive daily rate for your expertise and commitment
Referral Bonus
training and education
Safeguarding & Prevent

New

Primary Supply Teacher

Position: Day-to-Day Supply Teacher (EYFS, KS1 or KS2) Location: Crawley, West S...

Location

United Kingdom , Crawley

Salary:

130.00 - 160.00 GBP / Day

Randstad

Expiration Date

July 18, 2026

Requirements

QTS/QTLS
Adaptability
Proximity to Crawley
Enhanced DBS on the update service

Job Responsibility

Arrive at 8:30 AM
teach prepared lessons
leave at 3:30 PM

What we offer

No planning, prep, or parents' evenings
Flexibility
Competitive pay
Networking
Referral Bonus

New

Cover Supervisor

Secondary School Cover Supervisor (Supply) Location: Various Secondary Schools ...

Location

United Kingdom , Southwater

Salary:

90.00 - 110.00 GBP / Day

Randstad

Expiration Date

July 18, 2026

Requirements

Confidence
Adaptability
Experience
Education
Logistics
121 teaching experience
ability to communicate with parents
ability to work well under pressure
able to inspire
be a role model

Job Responsibility

Classroom Leadership
Behavior Management
Student Support
Detailed Reporting
Professionalism

What we offer

training and education
Safeguarding & Prevent
Referral Bonus

Select Country

Middle MLOps Engineer

Job Description

Job Responsibility

Requirements

What we offer

Looking for more opportunities?

Middle MLOps Engineer

Middle MLOps Engineer

Middle MLOps Engineer

Middle MLOps Engineer

Middle MLOps Engineer

Strong Middle Data Scientist

Cover Supervisor

Primary Supply Teacher

Cover Supervisor

Our AI answers in your language