1 to 25 of 42 SciPy Jobs in the UK

data engineering solutions. You’re comfortable writing production-grade code, not just notebooks. Solid skills in Python and SQL, including standard libraries (Polars, Scipy, NumPy, Scikit-Learn). Experience building or maintaining data pipelines and tools that are reliable and maintainable. Clear communication skills: able to break down problems into ...

subject, or [2] years’ relevant experience in data science or quantitative research Skills and experience we’re looking for: Data analysis in Python (NumPy, SciPy, pandas, scikit-learn or similar) Heavy, day-to-day use of AI tools in your technical work, such as coding assistants and LLMs, with ...

latency low. We operate a hybrid Python/C++ engineering stack. A large portion of our stack is Python-based (utilising libraries like NumPy, SciPy, PyTorch, Polars, Ray, Plotly, and Dash), but an increasing amount of our most performance-critical systems are written in modern C++ (C++23). ...

experience building quantitative trading tools, models, or analytics in a financial or commodities setting Strong Python skills in a scientific computing environment (numpy, pandas, scipy, statsmodels or similar) Solid grounding in statistics, time series analysis, and data modeling; machine learning experience is a plus Experience building data pipelines and working ...

scales effectively and keeps trading latency low. Our ML stack is Python based and utilises modern ML libraries and tooling including Numpy, Scipy, Pytorch, Polars, Ray, Plotly, Dash etc. The ideal candidate will have a strong software engineering background with a track record of building and maintaining production-grade ...

experience with R and/or C/C++ is a strong plus Extensive experience with numerical and data science libraries (e.g., NumPy, Pandas, SciPy, scikit-learn, PyTorch, TensorFlow, or similar) Proven experience building or maintaining machine learning systems in a distributed computing environment Proficiency developing in a Linux environment ...

sequential modeling Excellent communication skills with the ability to communicate concepts clearly and precisely Experience writing software using: i) Python for data science (numpy, scipy, scikit, pandas; ii) databases; and iii) cloud platform services (AWS, GCP, Azure) NICE TO HAVES Experience as a Data Architect or Senior Manager Proven track ...

model, conveying information clearly and creating trust with stakeholders. Experience with machine learning frameworks (e.g., PyTorch, TensorFlow), data science packages (e.g., Scikit-Learn, NumPy, SciPy, Pandas, statsmodels) and GenAI toolkit Experience in ML Ops #J-18808-Ljbffr ...

experience we’re looking for: Experience leading or mentoring a team of data scientists, scientists or engineers Hands-on data science in Python (NumPy, SciPy, pandas, scikit-learn or similar), turning exploratory work into quantified results Heavy, day-to-day use of AI tools in your own technical work, such ...

with good understanding of the underlying physical principles related to battery technology, electric vehicles, EV charging, and the energy sector. Python experience (numpy, streamlit, scipy, pandas, matplotlib, plotly, poetry, GIT, scikit-learn and other scientific libraries) Excellent mathematical, analytical and problem-solving ability Excellent professional communication, reporting and presentation skills ...

with data, including querying, aggregation, analysis, and visualizationStrong competencies in Python for data analysis using the python data science libraries (Pandas/NumPy/SciPy/Scikit-learn).Strong SQL skills for data retrieval, basic analysis, and data cleansing.Strong knowledge and application of object-oriented design and software best practices ...

vision problems, such as classification, detection or semantic/instance segmentation. Strong Python-based scientific computing and ML experience using tools such as NumPy, SciPy, OpenCV/Scikit-image, PyTorch/TensorFlow and Pandas. Experience developing maintainable, tested and reusable Python software and automated analysis pipelines, ideally within collaborative codebases. ...

management, and interoperability protocols such as MCP Experience with machine learning frameworks and data science packages such as PyTorch, TensorFlow, scikit‐learn, NumPy, pandas, SciPy, and statsmodels Experience deploying to AWS, including services such as SageMaker and Bedrock, and operating production large language model and machine learning workloads with attention ...

maintenance Experience with Natural Language Processing (NLP) Familiarity with machine learning frameworks (e.g., PyTorch, TensorFlow) and data science packages (e.g., Scikit-Learn, NumPy, SciPy, Pandas, statsmodels) Ability to work independently and collaboratively Strong attention to detail and interest in analytical problem-solving Results-driven mindset with a client focus Ability ...

Strong knowledge of linear algebra, calculus and statistics. Experience using ML frameworks such as JAX, PyTorch, or TensorFlow, and scientific software such as NumPy, SciPy, or Pandas. A passion for applying ML research to real world problems. Depending on your experience: project supervision, leadership, or management. Nice to have ...

identify trends, anomalies, risks, and opportunities within large and complex datasets• Develop reproducible analytical workflows using Python, leveraging tools such as pandas, numpy, scipy, and statsmodels• Query, validate, and analyse data using SQL across structured and semi-structured data environments• Work with modern cloud-based data platforms including Azure, Fabric ...

chemometrics and statistical learning for high-dimensional, correlated data, including rigorous validation and prevention of data leakage. Strong Python (e. g. NumPy/SciPy, scikit-learn, PyTorch) with an emphasis on transparent, reproducible analysis. Experience setting scientific direction for others and managing external scientific partners or contractors. Advantageous Experience with ...

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 and model structure ...

machine learning frameworks: Tensorflow, Pytorch, pyG, Keras, MXNet, Scikit-Learn Strong programming knowledge of Python and Spark; proficiency in vector operations using numpy, scipy; experience with distributed computation using multithreading, multi GPUs, Dask, Ray, Polars Familiarity with AWS Cloud services such as EMR, Sagemaker Overall knowledge of the Software Development ...

optimisation, Bayesian non‐parametrics, NLP or approximate inference. Excellent reasoning skills and mathematical ability. Strong programming skills and experience working with Python, Scikit‐Learn, SciPy, NumPy, Pandas and Jupyter Notebooks; experience with object‐oriented programming is beneficial. Publications at top conferences, such as NeurIPS, ICML or ICLR, are highly desirable. ...

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 ...

software development Deep understanding of Python Familiarity with Linux, bash, and the command line Familiarity with modern statistical machine learning and AI, including Numpy, Scipy, and Pandas Ability to write logical, consistent, self-explanatory code Understanding of software design patterns, SOLID and DRY principles, and architectural patterns Experience with ...

Professional experience with collaborative software development Familiarity with Linux, bash, and the command line Experience with modern statistical machine learning and AI, including Numpy, Scipy, and Pandas Ability to write logical, consistent, self-explanatory code Understanding of software design patterns, SOLID and DRY principles Experience with Git/GitHub ...

distributed systems. Experience with UI/UX considerations for backend/API design. Experience working with modern statistical machine learning and AI technologies (NumPy, SciPy, Pandas). Experience with DevOps workflows. Experience with PyTorch or other deep-learning frameworks. Familiarity with Bayesian statistics or probabilistic modelling. Experience with MLOps. Location ...

grasp of modern frameworks (PyTorch preferred), optimisation, and neural-network primitives. Scientific computing & math: strong linear algebra, calculus, probability, and statistics; fluency with NumPy, SciPy, and Pandas. Research translation: read an academic paper, understand its mechanics, and reproduce or adapt it in clean, modular Python. Software fundamentals: maintainable Python ...