8 of 8 NumPy Jobs in Central London

ideally 5+ years Deep understanding of object-oriented design, concurrency, and high-performance distributed systems Proficient in Python; Including use of libraries such as NumPy, SciPy and Pandas for quantitative analysis and prototyping Proven experience applying numerical optimisation techniques and/or machine learning methods to pricing, trading or market ...

working alongside traders or within a trading floor environment Knowledge of market data feeds and trading workflows Experience with performance optimisation or numerical libraries (NumPy, Pandas, etc.) Why Apply? Direct exposure to trading desks Business-facing, high-impact development Opportunity to work on core pricing and risk platforms Clear progression ...

Experience with distributed systems, parallel computing, and high-performance processing of large datasets. Strong experience in data pipelines, working with tools such as Pandas, NumPy, and SQL/NoSQL databases. Proven experience working in fast-paced environments, ideally within trading, financial services, or high-frequency environments. Proficiency in developing RESTful ...

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 ...

Core Python development (6–10 years) Strong SQL skills with ability to handle complex queries and large datasets Experience with Python libraries (Pandas, NumPy) for data processing Experience building RESTful APIs/services (Flask/FastAPI/Django) Strong understanding of data structures and performance optimization Experience working with large ...

typologies and how they translate into detection logic Strong SQL. Complex queries, large datasets, no hand-holding Python for analysis and modelling (pandas, numpy; ML exposure expected) Experience building, tuning, or deploying detection systems (rules and/or models) Ability to think about systems end-to-end. Not just models ...

3+ years of industry experience as a Data Scientist , plus a strong academic foundation Python Data Science Stack : Advanced proficiency in Python , including Pandas, NumPy and scikit-learn. Statistical & Machine Learning Modelling : Experience with a variety of ML techniques ( regression, classification, clustering, time-series forecasting ) Experience with deep learning frameworks ...

inference), CoreML (strong — iOS Neural Engine), ONNX (strong — cross-platform interop), MediaPipe (competent — Android face landmarker integration). Computer Vision & Signal Processing: OpenCV (expert), NumPy/SciPy (expert — rPPG signal processing), dlib (competent), rPPG methods specifically (POS, CHROM, chrominance decomposition, bandpass filtering, pulse extraction from RGB video), monocular depth estimation ...