Sanderson
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. It requires expertise in SQL, Python, GCP, and deep learning/NLP, along with experience in data transformation tools like Airflow and DBT.
🌎 - Country
United Kingdom
💱 - Currency
£ GBP
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💰 - Day rate
750
-
🗓️ - Date
March 25, 2026
🕒 - Duration
More than 6 months
-
🏝️ - Location
Remote
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📄 - Contract
Inside IR35
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🔒 - Security
Unknown
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📍 - Location detailed
London Area, United Kingdom
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🧠 - Skills detailed
#ML (Machine Learning) #Forecasting #dbt (data build tool) #GCP (Google Cloud Platform) #AI (Artificial Intelligence) #Data Science #Deep Learning #Matplotlib #Jupyter #Python #Cloud #Logistic Regression #Pandas #"ETL (Extract #Transform #Load)" #Computer Science #SQL (Structured Query Language) #BERT #NLP (Natural Language Processing) #Regression #Airflow
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 multiple Machine Learning Engineers to join their data science function to drive cutting-edge ML technology across the business.
We’re looking for individuals with:
• Experience: Proven background as a Machine Learning Engineer
• Technical Skills: Strong in SQL and Python (Pandas, Scikit-learn, Jupyter, Matplotlib)
• Data transformation & manipulation: experience with Airflow, DBT and Kubeflow
• Cloud: Experience with GCP and Vertex AI (developing ML services)
• Deep learning and Natural Language Processing (NLP): LLM (Large Language Model)
• Expertise: Solid understanding of computer science fundamentals and time-series forecasting
• Machine Learning: Strong grasp of ML and deep learning algorithms (e.g. Logistic Regression, Random Forest, XGBoost, BERT, LSTM, NLP, Transfer Learning)
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 multiple Machine Learning Engineers to join their data science function to drive cutting-edge ML technology across the business.
We’re looking for individuals with:
• Experience: Proven background as a Machine Learning Engineer
• Technical Skills: Strong in SQL and Python (Pandas, Scikit-learn, Jupyter, Matplotlib)
• Data transformation & manipulation: experience with Airflow, DBT and Kubeflow
• Cloud: Experience with GCP and Vertex AI (developing ML services)
• Deep learning and Natural Language Processing (NLP): LLM (Large Language Model)
• Expertise: Solid understanding of computer science fundamentals and time-series forecasting
• Machine Learning: Strong grasp of ML and deep learning algorithms (e.g. Logistic Regression, Random Forest, XGBoost, BERT, LSTM, NLP, Transfer Learning)
