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, offering £700-750/day. It requires strong SQL and Python skills, experience with GCP and Vertex AI, and expertise in deep learning and NLP. Fully remote work is available.
🌎 - Country
United Kingdom
💱 - Currency
£ GBP
-
💰 - Day rate
750
-
🗓️ - Date
August 13, 2026
🕒 - Duration
More than 6 months
-
🏝️ - Location
Remote
-
📄 - Contract
Inside IR35
-
🔒 - Security
Unknown
-
📍 - Location detailed
London Area, United Kingdom
-
🧠 - Skills detailed
#NLP (Natural Language Processing) #AI (Artificial Intelligence) #Pandas #Computer Science #Jupyter #dbt (data build tool) #Forecasting #BERT #Regression #Matplotlib #Deep Learning #GCP (Google Cloud Platform) #Airflow #ML (Machine Learning) #Logistic Regression #Data Science #SQL (Structured Query Language) #"ETL (Extract #Transform #Load)" #Python #Cloud
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)
