5 of 5 NumPy Jobs in Tyne and Wear

Junior AI Developer

Hiring Organisation
ITOL Recruit
Location
Sunderland, Tyne and Wear, United Kingdom
Employment Type
Full-Time
Salary
£30,000 - £45,000 per annum
your Python skills by building a car price prediction app using Python and Streamlit. Step 6 – Python for Data Learn essential Python libraries like NumPy, Pandas, and Matplotlib for data manipulation and visualisation. Step 7 – AI Sentiment Analysis Project Work with Hugging Face to build a sentiment analysis classifier using ...

Trainee AI Programmer

Hiring Organisation
ITOL Recruit
Location
Newcastle Upon Tyne, Tyne and Wear, United Kingdom
Employment Type
Full-Time
Salary
£30,000 - £45,000 per annum
your Python skills by building a car price prediction app using Python and Streamlit. Step 6 – Python for Data Learn essential Python libraries like NumPy, Pandas, and Matplotlib for data manipulation and visualisation. Step 7 – AI Sentiment Analysis Project Work with Hugging Face to build a sentiment analysis classifier using ...

Lead AI Engineer

Location
South Shields, England, United Kingdom
between technical developers and business teams, showcasing strong leadership, creativity, and ethical problem‐solving. Technical Expertise & Tools Python: Advanced, production‐grade proficiency (Pandas, NumPy, FastAPI/Flask) with an absolute focus on writing clean, modular, and highly testable code. SQL: Expert querying, database design, partitioning, and optimization strategies for large ...

Remote Data Engineer

Hiring Organisation
Prima Limited
Location
Newcastle upon Tyne, UK
Data Governance techniques. Knowledge on MLOps and Feature engineering. Exposure to common data analysis and ML technologies such as on scikit-learn, pandas, NumPy, XGBoost, LightGBM. Exposure to tools like Apache Oozie, Apache Airflow. £70,000 - £105,000 a year Why you’ll love it here: We want to make ...

Systematic Trading Technologist

Location
Newcastle upon Tyne, England, United Kingdom
technical build strategic. What makes a great candidate Strong proficiency in Python and SQL. Comfortable working with modern data‐processing tools (Polars, pandas, numpy) and orchestration/scheduling frameworks (Airflow or equivalent). Strong grounding in production engineering: CI/CD, containerised deployment (Kubernetes/Docker), monitoring, alerting. Excellent problem ...