13 of 13 NumPy Jobs in Central London

toxicity to improve pricing performance 🧠 What We’re Looking For Strong experience in Java (5+ years) — high-performance, distributed systems Advanced Python skills (NumPy, Pandas, SciPy) for quantitative modelling Experience applying numerical optimisation or machine learning to trading/pricing problems Background in algorithmic trading, client pricing, or liquid markets ...

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 ...

performance-focused, and constantly evolving. You will work with: Languages: Python (core), plus exposure to C++/Rust for latency-critical components Data & Compute: NumPy, Pandas, PyArrow, Polars Machine Learning: PyTorch, TensorFlow, scikit-learn Infrastructure: Linux, Docker, Kubernetes, Terraform, cloud (AWS/GCP) DevOps & Tooling: Git, CI/CD pipelines ...

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 ...

helping translate real-world needs into product improvements What They’re Looking For: Degree in Computer Science, Physics, Bioengineering, or similar Strong Python skills (NumPy, SciPy, Pandas, etc.) Experience working with hardware or lab-based systems (or similar environments) Experience with GUI development (or a strong interest in learning) Solid ...

infrastructure and tooling stack What They’re Looking For 4+ years experience in machine learning, data science, or AI engineering Strong Python skills (NumPy, Pandas, PyTorch/TensorFlow) Experience working with biological or biomedical data (industry or academia) Solid understanding of ML fundamentals (supervised/unsupervised learning, model evaluation, etc. ...

alignment What you’ll bring BA experience in energy trading, analytics or modelling Strong knowledge of Gas, LNG & Power markets Experience with Python (pandas, NumPy) and data-heavy environments Understanding of forecasting/ML workflows Strong stakeholder and Agile delivery skills ...

Experience building data pipelines, research platforms or ML workflows Strong understanding of statistics, linear models & model evaluation techniques Experience with the Python data stack (NumPy, Pandas, etc.) and ML libraries Familiarity with tools such as PyTorch, TensorFlow, JAX, Plotly, Altair Experience working with large datasets and performance-sensitive systems Strong ...

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 ...

Python code for data processing, API development, and integration with the Azure Databricks environment. Utilise relevant Python libraries and frameworks (e.g., Flask, Django, Pandas, NumPy). Collaborate with cross-functional teams to build and enhance banking applications Work closely with UI/UX Designers to integrate visualizations seamlessly into ...

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 ...

make fast, high-quality decisions Nice to have Experience in fintech, trading systems, or low-latency environments Exposure to Python and data tooling (NumPy, Pandas) Experience with Kubernetes or infrastructure-as-code ...