Machine Learning Engineer

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Machine Learning Engineer with a 6-month contract, paying £700-750/day, fully remote. Key requirements include experience in timeseries forecasting, proficiency in SQL and Python, and familiarity with GCP and machine learning algorithms.
🌎 - Country
United Kingdom
💱 - Currency
£ GBP
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💰 - Day rate
750
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🗓️ - Date discovered
August 19, 2025
🕒 - Project duration
More than 6 months
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🏝️ - Location type
Remote
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📄 - Contract type
Inside IR35
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🔒 - Security clearance
Unknown
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📍 - Location detailed
London Area, United Kingdom
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🧠 - Skills detailed
#ML (Machine Learning) #BERT #Computer Science #Matplotlib #NLP (Natural Language Processing) #Logistic Regression #Python #Regression #Deep Learning #Forecasting #Data Science #SQL (Structured Query Language) #GCP (Google Cloud Platform) #Pandas #Data Analysis #Jupyter
Role description
Machine Learning Engineer £700-750/day overall assignment rate to umbrella Fully remote 6 month initial A FTSE 100 retail client are on the look for a Machine Learning Engineer to join their data science function to drive cutting-edge ML technology across the business. MUST have previous experience of Timeseries forecasting. Machine Learning Engineer, key skills: • Significant experience working as a Data Scientist/Machine Learning Engineer • Solid knowledge of SQL and Python’s ecosystem for data analysis (Jupyter, Pandas, Scikit Learn, Matplotlib). • GCP, VertexAI experience is desirable (developing GCP machine learning services) • Timeseries forecasting • Solid understanding of computer science fundamentals, including data structures, algorithms, data modelling and software architecture • Strong knowledge of Machine Learning algorithms (e.g. Logistic Regression, Random Forest, XGBoost, etc.) as well as state-of-the-art research area (e.g. NLP, Transfer Learning etc.) and modern Deep Learning algorithms (e.g. BERT, LSTM, etc.)