26 to 39 of 39 NumPy Jobs in London

succeed : Extensive hands-on Python Development experience building REST APIs with FastAPI or similar. Strong quantitative background - must have. Strong experience with Pandas, NumPy, and/or SciPy. Good experience with time series or market data models. Experience with Docker, Kubernetes, and Cloud. What you'll get in return : Initial ...

record delivering impactful ML/AI solutions in production. Deep expertise in Python and modern AI/ML frameworks (e.g., PyTorch, TensorFlow, scikit-learn, NumPy, Pandas). Hands-on experience with GenAI, agentic AI, and automated testing for AI systems. Curiosity and creativity to challenge assumptions and explore new approaches. ...

transforming large-scale customer datasets into robust, auditable predictive models, supporting forecasting, risk analysis and commercial data products. Key skills & experience Strong Python (Pandas, NumPy, Scikit-learn) and SQL skills. Experience with Snowflake or similar cloud data platforms. Proven track record building predictive models in regulated financial services environments. Credit ...

programming with Java, C++ or another object‐oriented language Experience performing data analysis in Python, including proficiency with data science libraries such as NumPy and pandas, and visualization tools Ability to translate quantitative models into reliable, maintainable production code Effective interpersonal and communication skills; ability to collaborate with traders, quantitative ...

with significant industry or research experience in the field Extensive experience with machine learning and deep learning toolkits (e.g. TensorFlow, PyTorch, NumPy, Scikit‐Learn, Pandas) Ability to design experiments and training frameworks, and to outline and evaluate intrinsic and extrinsic metrics for model performance aligned with business goals Experience with ...

learning models for business application Experience in applied research Preferred Qualifications Experience with modeling tools such as R, scikit‐learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc. Experience with large scale distributed systems such as Hadoop, Spark etc. Equal Opportunity & Privacy Amazon is an equal opportunities employer. We believe passionately ...

databases such as ClickHouse or similar technologies. Knowledge of partitioning, materialised views, and query optimisation techniques. Experience with numerical and data processing libraries including NumPy, pandas, Polars, or Arrow. Understanding of performance optimisation, memory usage, multiprocessing, or asynchronous Python. This opportunity would suit an engineer who enjoys solving complex data ...

understanding of fundamentals of statistics, optimization and ML theory. Familiarity with popular deep learning architectures (transformers, CNN, autoencoders, etc.). Extensive experience with PyTorch, NumPy, Pandas. Hands‐on experience in implementing distributed/multi‐threaded/scalable applications (incl. frameworks such as Ray, Horovod, DeepSpeed, etc.). Able to communicate ...

level Python skills and can also read and understand C++ code (will also consider Java experience) You have experience with Python data libraries e.g. NumPy, Pandas You have experience of working on MFT (Mid-Frequency Trading systems) You have strong analysis and problem solving abilities You're collaborative with great ...

learning models for business application Experience in applied research Preferred Qualifications Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc. Experience with large scale distributed systems such as Hadoop, Spark etc. Amazon is an equal opportunity employer and does not discriminate ...

professional industry setting (excluding post‐doc positions), with exposure to: building machine learning models and pipelines in Python, using common libraries and frameworks (e.g., NumPy, SciPy, Pandas, PyTorch, JAX), especially including deep learning applications; developing models for bespoke problem settings that involve high‐dimensional data (spatiotemporal, geometric, physical); iterating ...

been instrumental in: building machine learning models and pipelines in Python, using common libraries and frameworks (PyTorch/CUDA, ideally with exposure to JAX, NumPy/SciPy), especially including deep learning applications; developing models for bespoke problem settings that involve high‐dimensional data (spatiotemporal, geometric, physical); iterating on network architectures ...

Hedge Fund. Candidates should have 2-8 years of relevant experience in a Quant Development role and be familiar with Python and libraries like NumPy and Pandas. The firm offers a flat structure, embracing rapid release cycles and minimal bureaucracy, providing an ideal environment for those eager to engage ...

join their team. The Profile: Experience: 2–8 years in a Quant Development role (Hedge Fund or Tier-1 IB) Tech Stack: Python, NumPy, Pandas, etc. Domain (Essential): Deep knowledge of Fixed Income or Credit products Why Apply? Culture: Flat structure, rapid release cycles, no red tape Stack: Greenfield projects ...