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Lead Machine Learning Engineer
β - Featured Role | Apply direct with Data Freelance Hub
This role is for a Lead Machine Learning Engineer on a contract basis, requiring 7+ years of experience in AI/ML. Key skills include Python, cloud platforms (Azure, AWS), and expertise in MCP and RAG patterns.
π - Country
United Kingdom
π± - Currency
Β£ GBP
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π° - Day rate
Unknown
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ποΈ - Date
October 16, 2025
π - Duration
Unknown
-
ποΈ - Location
Unknown
-
π - Contract
Unknown
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π - Security
Unknown
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π - Location detailed
London Area, United Kingdom
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π§ - Skills detailed
#Code Reviews #TensorFlow #Strategy #Scala #AI (Artificial Intelligence) #Cloud #Databases #Python #PyTorch #Automated Testing #Containers #Terraform #ML (Machine Learning) #Libraries #Azure #Documentation #Langchain #AWS (Amazon Web Services) #GIT
Role description
Lead Machine Learning Engineer
Contract hands-on AI Engineer at Principal/Staff level to bootstrap an AI team to deliver an AI capability.
- Reporting to VP Engineering
- Lead design, architecture, and delivery of advanced AI/ML and generative AI solutions, ensuring scalable, secure, and production-ready system.
- Expert in MCP and RAG patterns
- Design and build robust data and ingestion pipelines, integrate vector databases, and RSG.
- Expert-level proficiency in Python and key ML libraries (Langchain, Semantic Kernel, PyTorch, TensorFlow)
- Hands-on experience with cloud platforms (Azure, AWS) and infrastructure-as-code (Terraform, ECS)
- Strong background in deploying models via APIs, containers, or cloud-native services
- Proven track record delivering production-grade AI solutions in complex, data-rich environments
- Skilled in setting team engineering practices: Git, CI/CD, automated testing for ML code, code reviews, and documentation.
- Lead tech enablement and mentor engineers, fostering culture of reliability, continuous improvement, and collaboration.
- Excellent communication skills, able to translate technical strategy into business outcomes and work across team.
- Minimum 7 yearsβ professional experience in AI, ML, or applied machine learning engineering rolesοΏ½.
Lead Machine Learning Engineer
Contract hands-on AI Engineer at Principal/Staff level to bootstrap an AI team to deliver an AI capability.
- Reporting to VP Engineering
- Lead design, architecture, and delivery of advanced AI/ML and generative AI solutions, ensuring scalable, secure, and production-ready system.
- Expert in MCP and RAG patterns
- Design and build robust data and ingestion pipelines, integrate vector databases, and RSG.
- Expert-level proficiency in Python and key ML libraries (Langchain, Semantic Kernel, PyTorch, TensorFlow)
- Hands-on experience with cloud platforms (Azure, AWS) and infrastructure-as-code (Terraform, ECS)
- Strong background in deploying models via APIs, containers, or cloud-native services
- Proven track record delivering production-grade AI solutions in complex, data-rich environments
- Skilled in setting team engineering practices: Git, CI/CD, automated testing for ML code, code reviews, and documentation.
- Lead tech enablement and mentor engineers, fostering culture of reliability, continuous improvement, and collaboration.
- Excellent communication skills, able to translate technical strategy into business outcomes and work across team.
- Minimum 7 yearsβ professional experience in AI, ML, or applied machine learning engineering rolesοΏ½.
