4 of 4 NumPy Jobs in Central London

Quantitative Developer Python - Hybrid London - Up To 250k!

Hiring Organisation
Opus Recruitment Solutions Ltd
Location
Central London, London, England, United Kingdom
Employment Type
Full-Time
Salary
£150,000 - £250,000 per annum
people to the business this year, they're looking for Quantitative Developers with proficiency in Python, and experience with the Python data libraries (Pandas, NumPy) (preferably) from the Trading world. They also are on the look out for candidates who: Have deep familiarity with Python data ecosystem Understanding of Jupyter

Data Scientist

Hiring Organisation
Lorien
Location
City of London, London, England, United Kingdom
Employment Type
Contractor
Contract Rate
Salary negotiable
data extraction and manipulation. Experience working with large datasets. Technical Skills Proficiency in cloud computing and python programming. Familiarity with Python libraries like Pandas, NumPy, scikit-learn. Experience with cloud services for mode training and deployment. Machine Learning Fundamentals Statistical concepts for robust data analysis. Linear algebra principles for modelling

Data Scientist

Hiring Organisation
Datatech Analytics
Location
City of London, London, United Kingdom
Employment Type
Permanent, Work From Home
Salary
£75,000
unsupervised learning, natural language processing, Bayesian statistics, time-series forecasting, collaborative filtering etc) ? Proficiency in Python with familiarity to ML libraries e.g. pandas, numpy, scipy, scikit-learn, tensorflow, pytorch) ? Familiarity with cloud platforms (GCP, AWS, Azure) and tools like Dataiku, Databricks. ? Experience with ML Ops, including model deployment, monitoring

AI Automation Engineer

Hiring Organisation
McCabe & Barton
Location
Central London, London, United Kingdom
Employment Type
Permanent
Strong proficiency in Python programming including object-oriented design, asynchronous programming, error handling, and writing clean, maintainable code. Experience with key libraries including Pandas, NumPy for data manipulation, requests and APIs for integrations, asyncio for concurrent processing, and building robust automation scripts with proper logging, testing (pytest), and documentation.