iXceed Solutions

Machine Learning Engineer

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Machine Learning Engineer with a contract length of "unknown" and a pay rate of "unknown". Located in London (Hybrid – 2 days onsite), it requires strong Python, Machine Learning, SQL skills, and 5–10+ years of relevant experience.
🌎 - Country
United Kingdom
💱 - Currency
£ GBP
-
💰 - Day rate
Unknown
-
🗓️ - Date
May 2, 2026
🕒 - Duration
Unknown
-
🏝️ - Location
Hybrid
-
📄 - Contract
Unknown
-
🔒 - Security
Unknown
-
📍 - Location detailed
London Area, United Kingdom
-
🧠 - Skills detailed
#ML (Machine Learning) #Python #AI (Artificial Intelligence) #Data Pipeline #GCP (Google Cloud Platform) #AWS (Amazon Web Services) #Azure #Data Science #Data Extraction #Visualization #"ETL (Extract #Transform #Load)" #Agile #SQL Queries #SQL (Structured Query Language) #Cloud #Data Analysis
Role description
Job Title: Prototype Engineer (Python / Machine Learning) Location: London, Canary Wharf (Hybrid – 2 days onsite per week) 🔹 Role Overview We are looking for a hands-on 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 quickly translate business problems into working solutions. 🔹 Key Responsibilities • Design and build rapid prototypes and PoCs using Python • Develop, train, and evaluate machine learning models • Perform data analysis, feature engineering, and experimentation • Write efficient SQL queries for data extraction and transformation • Integrate solutions with APIs, data pipelines, and visualization tools • Translate business requirements into analytical/ML solutions • Collaborate with cross-functional teams and iterate quickly • Work independently in a fast-paced, agile environment 🔹 Required Skills • Strong experience in Python, Machine Learning, and SQL • Hands-on experience in ML model development and experimentation • Experience with data pipelines, APIs, and cloud platforms (AWS/GCP/Azure) • Strong problem-solving and analytical skills • Experience in rapid prototyping / PoC development 🔹 Experience • Ideally 5–10+ years in Data Science / Machine Learning / Analytics