Haystack
MLOps Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an MLOps Engineer with a contract length of "unknown," offering a pay rate of "unknown." It requires expertise in MLOps, AWS, Python, Terraform, and Kubernetes, with a focus on the pharmaceutical industry. Remote work is available.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
May 21, 2026
🕒 - Duration
Unknown
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🏝️ - Location
Remote
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
United Kingdom
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🧠 - Skills detailed
#Scala #Infrastructure as Code (IaC) #Terraform #Model Deployment #Cloud #ML (Machine Learning) #Python #Deployment #AI (Artificial Intelligence) #Kubernetes #AWS (Amazon Web Services) #Data Science
Role description
We are working with a rapidly expanding pharmaceutical company that is at the forefront of innovation in medicine and healthcare, seeking to leverage cutting-edge technology to improve lives globally.
The Role
• Design and implement scalable MLOps pipelines
• Manage and optimise machine learning model deployment
• Collaborate with AI and data science teams
• Utilise cloud platforms for MLOps infrastructure
• Ensure robust and reliable operations for AI systems
• Continuously improve and automate MLOps practices
What You'll Need
• Proven experience in MLOps
• Strong background in AI and machine learning principles
• Proficiency with AWS services
• Experience with Python for MLOps tasks
• Familiarity with Terraform for infrastructure as code
• Knowledge of Kubernetes for container orchestration
What's On Offer
• Opportunity to work on innovative AI and MLOps projects
• Contribute to advancements in the pharmaceutical industry
• Flexible remote work arrangement
Apply via Haystack today!
We are working with a rapidly expanding pharmaceutical company that is at the forefront of innovation in medicine and healthcare, seeking to leverage cutting-edge technology to improve lives globally.
The Role
• Design and implement scalable MLOps pipelines
• Manage and optimise machine learning model deployment
• Collaborate with AI and data science teams
• Utilise cloud platforms for MLOps infrastructure
• Ensure robust and reliable operations for AI systems
• Continuously improve and automate MLOps practices
What You'll Need
• Proven experience in MLOps
• Strong background in AI and machine learning principles
• Proficiency with AWS services
• Experience with Python for MLOps tasks
• Familiarity with Terraform for infrastructure as code
• Knowledge of Kubernetes for container orchestration
What's On Offer
• Opportunity to work on innovative AI and MLOps projects
• Contribute to advancements in the pharmaceutical industry
• Flexible remote work arrangement
Apply via Haystack today!
