

Haystack
Machine Learning Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Machine Learning Engineer with a contract length of unspecified duration, offering a competitive day rate. Key skills include machine learning engineering, data processing, Python proficiency, and understanding of MLOps. Remote work is available.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
750
-
🗓️ - Date
June 7, 2026
🕒 - Duration
Unknown
-
🏝️ - Location
Remote
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📄 - Contract
Unknown
-
🔒 - Security
Unknown
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📍 - Location detailed
London, England, United Kingdom
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🧠 - Skills detailed
#Python #Data Pipeline #AI (Artificial Intelligence) #Scala #Data Science #Data Processing #Programming #ML (Machine Learning)
Role description
We're working with a forward-thinking, tech-driven FTSE 100 organisation that leverages data science and AI to significantly enhance customer experiences, optimise complex supply chains, and drive sustainable business growth.
The Role
• Develop and deploy machine learning models
• Design and implement data pipelines
• Collaborate with data scientists and other engineers
• Optimise ML solutions for performance and scalability
• Contribute to the full lifecycle of data-driven products
What You'll Need
• Solid experience in machine learning engineering
• Proficiency in data processing and pipeline tools
• Strong programming skills in relevant languages (e.g., Python)
• Understanding of MLOps principles
• Ability to work effectively in a remote environment
What's On Offer
• Opportunity to work with cutting-edge AI and data science technologies
• Contribute to impactful projects within a large organisation
• Flexible remote working arrangement
• Competitive day rate
Apply via Haystack today!
We're working with a forward-thinking, tech-driven FTSE 100 organisation that leverages data science and AI to significantly enhance customer experiences, optimise complex supply chains, and drive sustainable business growth.
The Role
• Develop and deploy machine learning models
• Design and implement data pipelines
• Collaborate with data scientists and other engineers
• Optimise ML solutions for performance and scalability
• Contribute to the full lifecycle of data-driven products
What You'll Need
• Solid experience in machine learning engineering
• Proficiency in data processing and pipeline tools
• Strong programming skills in relevant languages (e.g., Python)
• Understanding of MLOps principles
• Ability to work effectively in a remote environment
What's On Offer
• Opportunity to work with cutting-edge AI and data science technologies
• Contribute to impactful projects within a large organisation
• Flexible remote working arrangement
• Competitive day rate
Apply via Haystack today!






