15 of 15 SciPy Jobs in the UK

subject-matter expert for pricing models and valuation logic, supporting risk and trading teams globally. Skills and Experience Expert-level Python developer with strong experience in numerical computing (NumPy, SciPy, Pandas). Deep understanding of derivatives pricing theory, volatility modelling, and stochastic calculus. Experience with calibration, curve bootstrapping, and risk measures (Greeks, sensitivities, VaR). Background in pricing and risk More ❯

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 ❯

o Tools for scalable data processing: Kubernetes, Spark â Experience with Java 2D graphics and 3D OpenGL programming. â Experience with scientific computing libraries and frameworks: o Python: NumPy, SciPy, Pandas, TensorFlow (for ML/AI) o C Java: CUDA (for GPU acceleration) o Angular or React o Microservice: Quarkus, Spring Boot, AWS API Gateway o Docker, Kubernetes With over More ❯

machine learning techniques (supervised and unsupervised learning, natural language processing, Bayesian statistics, time-series forecasting, collaborative filtering etc) ? 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, Databricks. ? Experience with ML Ops, including model deployment, monitoring, and retraining pipelines. ? Ability to work More ❯

don't always work with our data, so you will need to understand how to develop your own models Strong programming skills and experience working with Python, scikit-learn, SciPy, NumPy, Pandas and Jupyter Previous experience in finance is not required, although an interest in finance and the motivation to rapidly learn more is a prerequisite for working here. Why More ❯

code health, etc. Desire to constantly improve and learn inside and outside of expertise PREFERRED EXPERIENCE: Domain-specific experience in statistics, machine learning, or AMO physics Experience with Numpy, Scipy, and Pytorch Experience with image analysis, emphasis on realtime object detection Experience with databases (relational and non-relational) including but not limited to timeseries data, SQL, and ETL processes Experience More ❯

Communication: Present insights to data labeling experts and technical teams Required Qualifications Statistical Expertise: Strong foundation in statistical analysis, hypothesis testing, and pattern recognition Programming: Proficiency in Python (pandas, scipy, matplotlib/seaborn) or R for data analysis Data Analysis: Experience with exploratory data analysis and creating actionable insights from complex datasets AI/ML Familiarity: Understanding of LLM evaluation More ❯

Yocto/Peta Verification frameworks e.g UVM/OSVVM Embedded software development in C, C++ or similar Digital Signal Processing System modelling e.g. Matlab/Python/Numpy/Scipy Agile/Scrum Configuration control, Continuous Integration and Continuous Development etc Domain expertise in a relevant technology area Technical/Team leadership If this is the role for you please More ❯

reaction kinetics. Interest in simulation, modeling workflows, and their application in real-world pharma/biotech contexts. Basic to intermediate Python programming skills, especially with scientific libraries (e.g., NumPy, SciPy, pandas). Nice to Have Experience with Pyomo or CasADi. Familiarity with bioprocesses or pharma case studies. Curiosity about AI, workflow automation, or cloud-based platforms. Soft Skills Proactive, reliable More ❯

you: Have over 3+ years of professional experience in data science or applied analytics. Are highly skilled in Python and Jupyter notebooks. Have experience using libraries including numpy, pandas, scipy, sympy, scikit-learn, torch, tensorflow. Have a bachelor's degree in data science, statistics, computer science, or related field in the U.S., Canada, New Zealand, UK or Australia. Have a More ❯

Convolutional Neural Networks (CNNs) and Feature Extraction techniques. Basic knowledge of programming languages including Python, C++, and C, along and libraries such as Scikit-Learn, NumPy, and/or SciPy . Your Package & Perks: A competitive salary Flexible working hours 32 days holiday, (including public Holidays) plus the opportunity to earn up to an extra 13 days holiday each year More ❯

Convolutional Neural Networks (CNNs) and Feature Extraction techniques. Basic knowledge of programming languages including Python, C++, and C, along and libraries such as Scikit-Learn, NumPy, and/or SciPy . Your Package & Perks: A competitive salary Flexible working hours 32 days holiday, (including public Holidays) plus the opportunity to earn up to an extra 13 days holiday each year More ❯

agile, and highly collaborative teams structured by asset class - with plenty of opportunity to rotate, cross-train, and expand your impact across the business. Tech Environment Languages: Python (NumPy, SciPy, Pandas, scikit-learn); high-performance systems in Java/C++ Tools: Airflow, Kafka, Bitbucket, Jenkins, Grafana, Prometheus, ELK Infra: Docker, Kubernetes, OpenStack, Ansible, Terraform Data: ArcticDB – the firm’s proprietary … analytics, and execution Contribute to shared frameworks and libraries supporting systematic trading globally What You’ll Bring Strong Python engineering background, solid on Linux Proficiency with data libraries (NumPy, SciPy, Pandas) and workflow automation Familiarity with financial instruments and markets Clean coding habits – agile development, CI/CD, testing, and code reviews Strong quantitative foundation in statistics, optimisation, or asset More ❯

Learning Engineer Machine Learning Engineer - AI for Advanced Materials - Oxford/Remote (UK) (Tech stack: Python, PyTorch, TensorFlow, Scikit-learn, MLflow, Airflow, Docker, Kubernetes, AWS, Azure, GCP, Pandas, NumPy, SciPy, CI/CD, MLOps, Data Visualization, Bayesian Modelling, Probabilistic Programming, Terraform) We're looking for a Machine Learning Engineer to join a rapidly scaling deep-tech company that's reinventing … Learning Engineers with experience in some or all of the following (full training provided to fill any gaps): Python, PyTorch, TensorFlow, Scikit-learn, MLflow, Airflow, Docker, Kubernetes, Pandas, NumPy, SciPy, CI/CD, Data Visualization, Bayesian Modelling, Probabilistic Programming, Terraform, Azure, AWS, GCP, Git, and Agile methodologies. Join a team that's fusing AI, science, and engineering to push the More ❯

thorough unit and integration testing, promoting long-term stability and maintainability. Apply SOLID principles and appropriate design patterns to ensure scalable and maintainable architecture. Work with modern technologies including SciPy, NumPy, Pandas, SQL, cloud platforms, Docker, Kubernetes, and CI/CD tools. Collaborate with cross-functional teams (data science, consultants, development) across the Netherlands, UK, and US, with a focus … knowledge, and contribute to best practices within the team. Skills, experience, and education you’ll need Minimum 5 years of hands-on experience with Python, including scientific libraries (especially SciPy). Master’s degree in Mathematics, Computer Science, or a closely related quantitative field. Very strong background in mathematics, analytics, or statistical modeling. Proven ability to understand and implement complex More ❯