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9 of 9 Permanent SciPy Jobs in Central London
City of London, London, United Kingdom Harrington Starr
Enhance and create advanced data visualisation applications. Requirements: Proficient in Software Python Development. 3-5 years experience in software engineering Experience with libraries/frameworks such as Pandas, Numpy, Scipy, etc. Skilled in data pipeline orchestration management libraries (e.g., Airflow, Prefect). Experience with cloud infrastructure (AWS, GCP, Azure). DevOps skills (CI/CD, containerisation). Familiarity with Plotly More ❯
City of London, London, United Kingdom Bruin
performance • Implement robust risk management and stress-testing tools 🎯 What You Bring • 5+ years Java (OOP, low-latency systems) • 4+ years FX or Crypto trading experience • Python (NumPy, Pandas, SciPy) • SQL or time-series DBs • Linux & distributed systems expertise • Strong communication & market intuition ✨ Bonus Skills • KDB+/Q, Haskell, or other functional languages • Machine learning (scikit-learn, etc.) • Quant tools More ❯
london (city of london), south east england, united kingdom Bruin
performance • Implement robust risk management and stress-testing tools 🎯 What You Bring • 5+ years Java (OOP, low-latency systems) • 4+ years FX or Crypto trading experience • Python (NumPy, Pandas, SciPy) • SQL or time-series DBs • Linux & distributed systems expertise • Strong communication & market intuition ✨ Bonus Skills • KDB+/Q, Haskell, or other functional languages • Machine learning (scikit-learn, etc.) • Quant tools More ❯
City of London, London, United Kingdom Radley James
Bachelors or higher in computer science or equivalent Strong Python knowledge Strong interest and knowledge of financial markets and instruments Experience in data analysis techniques and libraries like NumPy, SciPy, and Pandas Solid understanding of mathematics, including statistics, asset pricing theory, and optimization algorithms More ❯
london (city of london), south east england, united kingdom Radley James
Bachelors or higher in computer science or equivalent Strong Python knowledge Strong interest and knowledge of financial markets and instruments Experience in data analysis techniques and libraries like NumPy, SciPy, and Pandas Solid understanding of mathematics, including statistics, asset pricing theory, and optimization algorithms More ❯
City of London, London, United Kingdom
Hybrid / WFH Options Datatech Analytics
recommendation systems and deep learning architectures. Strong understanding of two-tower neural networks, embedding techniques, and ranking models. 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. Experience with ML Ops, including model deployment, monitoring, and retraining pipelines. Ability to work cross More ❯
london (city of london), south east england, united kingdom
Hybrid / WFH Options Datatech Analytics
recommendation systems and deep learning architectures. Strong understanding of two-tower neural networks, embedding techniques, and ranking models. 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. Experience with ML Ops, including model deployment, monitoring, and retraining pipelines. Ability to work cross More ❯
City of London, London, United Kingdom Understanding Recruitment
+ equivalent experience) in Computer Science, Data Science, Mathematics, Physics, or Bioinformatics 5+ years post-qualification experience tackling complex technical challenges Expert-level Python programming (NumPy, PyTorch/TensorFlow, SciPy, pandas) Deep expertise in time-series and sequence modelling (RNNs, LSTMs, transformers, attention mechanisms) Strong foundation in probabilistic models (HMMs, Bayesian inference, graphical models) Track record of delivering impactful research More ❯
london (city of london), south east england, united kingdom
Hybrid / WFH Options Block MB
impactful quantitative models. Deep understanding of mathematical and statistical modelling, including complex probability distributions and stochastic methods. Highly proficient in Python for modelling, data manipulation, and analysis (NumPy, pandas, SciPy, scikit-learn, etc.). Preferred Qualifications Advanced degree (MSc or PhD) in a quantitative discipline such as Mathematics, Statistics, Physics, Computer Science, or Engineering. Experience in sports modelling, market pricing More ❯
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