

Ampstek
Machine Learning Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Machine Learning Engineer in London, UK, offering a hybrid work model for a contract length of "Inside IR35". Requires 10+ years of experience, strong Python and SQL skills, and expertise in data analysis and machine learning.
🌎 - Country
United Kingdom
💱 - Currency
£ GBP
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💰 - Day rate
Unknown
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🗓️ - Date
April 24, 2026
🕒 - Duration
Unknown
-
🏝️ - Location
Hybrid
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📄 - Contract
Inside IR35
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🔒 - Security
Unknown
-
📍 - Location detailed
London Area, United Kingdom
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🧠 - Skills detailed
#Visualization #Data Pipeline #AI (Artificial Intelligence) #ML (Machine Learning) #Python #Data Engineering #Model Evaluation #SQL Queries #Scala #SQL (Structured Query Language) #Databases #Data Analysis #"ETL (Extract #Transform #Load)" #Datasets #Data Extraction
Role description
Job Title: Prototype Engineer (Python / Machine Learning)
Location:London,UK
WorkMode:Hybrid(3daysonsite)
ContractType:InsideIR35
Experience: 10+ Years
Role Summary
We are looking for an experienced Prototype Engineer to design and develop rapid prototypes and proof-of-concepts (PoCs) for data-driven and AI/ML use cases. This role requires strong expertise in Python, machine learning, and SQL, along with the ability to translate business problems into scalable analytical solutions.
Key Responsibilities
Prototyping & Development
• Design and develop rapid prototypes and PoCs using Python
• Build and implement machine learning models for structured and unstructured data
• Integrate prototypes with APIs, data pipelines, and visualization tools
Data & Machine Learning
• Perform data analysis, feature engineering, and experimentation
• Train, evaluate, and fine-tune ML models
• Work with large datasets and optimize model performance
Database & SQL
• Develop efficient SQL queries for data extraction, transformation, and analysis
• Work with relational databases to support analytical workflows
Collaboration & Problem Solving
• Translate business requirements into ML and analytical solutions
• Collaborate with cross-functional teams to refine use cases
• Manage multiple tasks and adapt to changing priorities
Required Skills & Experience
• 10+ years of experience in data engineering / machine learning / prototyping roles
• Strong hands-on expertise in Python and Machine Learning
• Proficiency in SQL and relational databases
• Experience with data analysis, feature engineering, and model evaluation
• Familiarity with APIs, data pipelines, and integration tools
• Strong analytical thinking and problem-solving skills
Job Title: Prototype Engineer (Python / Machine Learning)
Location:London,UK
WorkMode:Hybrid(3daysonsite)
ContractType:InsideIR35
Experience: 10+ Years
Role Summary
We are looking for an experienced Prototype Engineer to design and develop rapid prototypes and proof-of-concepts (PoCs) for data-driven and AI/ML use cases. This role requires strong expertise in Python, machine learning, and SQL, along with the ability to translate business problems into scalable analytical solutions.
Key Responsibilities
Prototyping & Development
• Design and develop rapid prototypes and PoCs using Python
• Build and implement machine learning models for structured and unstructured data
• Integrate prototypes with APIs, data pipelines, and visualization tools
Data & Machine Learning
• Perform data analysis, feature engineering, and experimentation
• Train, evaluate, and fine-tune ML models
• Work with large datasets and optimize model performance
Database & SQL
• Develop efficient SQL queries for data extraction, transformation, and analysis
• Work with relational databases to support analytical workflows
Collaboration & Problem Solving
• Translate business requirements into ML and analytical solutions
• Collaborate with cross-functional teams to refine use cases
• Manage multiple tasks and adapt to changing priorities
Required Skills & Experience
• 10+ years of experience in data engineering / machine learning / prototyping roles
• Strong hands-on expertise in Python and Machine Learning
• Proficiency in SQL and relational databases
• Experience with data analysis, feature engineering, and model evaluation
• Familiarity with APIs, data pipelines, and integration tools
• Strong analytical thinking and problem-solving skills





