

Machine Learning Engineer
β - Featured Role | Apply direct with Data Freelance Hub
This role is for a Machine Learning Engineer on a contract basis in London (Hybrid), requiring proficiency in Python, cloud-native deployment (Databricks, Azure), TDD (Pytest), CI/CD pipelines, and experience with machine learning models and version control (Git).
π - Country
United Kingdom
π± - Currency
Β£ GBP
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π° - Day rate
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ποΈ - Date discovered
July 1, 2025
π - Project duration
Unknown
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ποΈ - Location type
Hybrid
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π - Contract type
Unknown
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π - Security clearance
Unknown
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π - Location detailed
London Area, United Kingdom
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π§ - Skills detailed
#Databricks #ML (Machine Learning) #Programming #Python #Pytest #Automated Testing #Deployment #Microsoft Azure #Kubernetes #Version Control #Azure #Code Reviews #Data Mining #Cloud #GIT
Role description
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Job Title: Machine Learning Engineer
Location: London (Hybrid)
Job Type: Contract
Required Skills & Experience:
- Proficient in Python programming, with a strong understanding of clean, maintainable code.
- Solid grasp of software engineering best practices, including version control, modular design, and code reviews.
- Hands-on experience with Test-Driven Development (TDD) using Pytest or equivalent testing frameworks.
- Proven ability to deploy solutions in cloud-native environments, particularly using Databricks and Microsoft Azure.
- Familiarity with Databricks platforms, including notebook development, cluster configuration, and job orchestration.
- Experience working with managed endpoints, such as Azure Kubernetes Service (AKS) or similar orchestration tools.
- Proficiency with Version Control Systems (VCS) like Git.
- Practical experience implementing CI/CD pipelines for automated testing and deployment.
- Strong ability to identify opportunities to leverage machine learning for solving real-world business problems.
- Demonstrated expertise in developing predictive and prescriptive models using techniques in machine learning, data mining, and statistical analysis to deliver actionable insights to stakeholders.
Regards
Anita