76 to 85 of 85 NumPy Jobs in England

stakeholders. Data Manipulation & Reporting: Write, optimize, and execute complex SQL queries to extract and manipulate data from large, disparate databases. Utilize Python (e.g., pandas, NumPy, statistical libraries) for advanced data cleaning, statistical modeling, and analysis as needed. Develop and maintain dynamic dashboards and reports using data visualization tools like Looker ...

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 ...

code (OOP, data structures, type hints, etc.). Build scalable algorithms and RESTful APIs (FastAPI, Flask, Django). Perform data analysis using Pandas/NumPy and manage SQL/NoSQL databases. Develop optimization models (LP/MILP) using tools like Pyomo, Gurobi, or CPLEX. Model power systems and support techno ...

Optimize models for performance, scalability, and accuracy. Qualifications: Deep knowledge of neural networks (CNNs, RNNs, LSTMs, Transformers). Strong experience with data tools (Pandas, NumPy, Apache Spark). Solid understanding of NLP algorithms. Experience integrating ML models via RESTful APIs. Familiarity with CI/CD pipelines and deployment automation. Strategic ...

quant trading while leveraging your technical expertise to drive results. What you'll bring 2+ years professional experience in Python, including use of NumPy and other scientific libraries. A passion for working with data/dataframes and solving data-related challenges. Strong Pandas experience is required. Minimum bachelors degree ...

transforming it for ingestion into systems such as a lakehouse or other operational platforms (e.g. Sage 200). Experience analysing data using Python (Pandas, NumPy) will also be required to support legacy reporting. Experience in monitoring, troubleshooting, and resolving production data issues as they arise. Experience in challenging and refining ...

Strong analytical & problem-solving skills: Able to decompose messy, real-world problems and craft tailored solutions. Proficient in Python & data science: pandas/Polars, NumPy, scikit-learn, Jupyter, Plotly (or similar) Confident with data cleaning, analysis, transformation, and visualisation. Excellent communication: Advanced written and spoken English; concise, direct, and audience …/Postgres. TypeScript fluency: Able to read TS and collaborate on data contracts with the Command team. Our environment Python, Polars/pandas, NumPy, scikit-learn, Plotly, SQL/Postgres, NVIDIA cuOpt, HERE APIs, AWS (S3, ECS/Lambda, SNS/SQS), Docker, GitHub Actions, TypeScript/Node (Command services ...

Hedge Fund - Python Developer (Equities) - Trade life cycle - PnL - Kafka - Contract Our Hedge Fund client is looking for a Python Developer/Engineer Contract role This team is responsible for the firms equity transaction data ...

Commercial Services and Operations. Key responsibilities include: Performing SQL‐based data exploration, validation and transformation to support finance analytics. Using Python, including Pandas and Numpy, for deeper analysis, automation, data profiling and insight generation. Building and maintaining Power BI dashboards where required, with a lighter emphasis than a dedicated Power … Strong SQL capability, including complex querying, joins, CTEs, window functions and data profiling. Solid Python experience for data analysis and automation, with Pandas and Numpy essential. Some experience with Power BI, without the need for DAX‐heavy modelling. A strong analytical mindset, with the ability to interpret data, generate insight ...

StatArb platform. Live since 2021, trading 24/6 globally. Unified graph-based framework (DAG) across research, production, analytics, risk, and P&L. Deep Numpy/Numba work, processing vast historical datasets and real-time tick data. You'll contribute to shared tooling that researchers actually rely on. … lines. What you'll need: 5+ years as a Quant Dev in a systematic hedge fund (StatArb/equities experience ideal) Deep Python expertise (Numpy/Numba) Strong grasp of statistical methods, numerical optimisation, and equity market microstructure Experience with Unix internals and graph-based data processing frameworks What ...