151 to 175 of 187 NumPy Jobs in the UK

practical 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 ...

electronics, physics or computer science and have significant skills and experience in the following areas: - Expert Python proficiency for data analysis and prototyping (NumPy, SciPy, PyTorch). - Demonstrable applied experience of digital signal processing (FFT, modulation, noise modelling, resampling). - Experience with SDR frameworks (GNU Radio, SDRangel, SoapySDR). - Understanding ...

What you'll bring A degree in geodesy, physics, maths, data science or similar (MSc or PhD preferred) Strong Python and the scientific stack (NumPy, pandas, SciPy) Solid statistics: estimation, time series and uncertainty Experience with large scientific datasets A habit of writing production code, not just notebooks Nice ...

Data Engineer A strong understanding of key Python concepts related to data engineering is needed as a foundation on which to build (e.g. Pandas, numpy, Python file handling, JSON) You possess solid understanding of AWS cloud environments, including S3, LAMBDA, RDS, AWS CDK or Terraform, Dynamo DB Have researched leveraging ...

datasets, tools, data formats, and workflows commonly used in computational biology and chemistry. Strong hands-on experience with PyTorch and the scientific Python ecosystem (NumPy, SciPy, Pandas, etc.). Experience contributing to and maintaining deep-learning codebases, with a high bar for engineering quality, reproducibility, and testing. Nice to have ...

testing and experimental design, with the ability to apply these in real-world product environments Advanced SQL skills and strong experience with Python (pandas, NumPy) for large-scale data analysis Proven experience leading A/B testing programmes and influencing product decisions through experimentation Significant experience analysing customer behaviour within ...

JavaScript, React, Vim, VSCode, HTML, CSS and AWS. Our flagship product uses image recognition to identify elements in construction PDFs, built with Python (numpy), Postgres and React. For newer real-time collaborative features, Hasura gives us a GraphQL subscription layer over Postgres, which is transformed into MobX objects ...

science, upstream AI safety research, or academic research with exemplary experiment design methodology. You possess advanced Python expertise alongside deep familiarity with scientific stacks (NumPy, Pandas), AI evaluation frameworks (e.g., Inspect AI), and agentic harnesses and sandboxing environments. You demonstrate a passion for advancing evaluation standards across complex, specialised domains ...

impact on product and commercial outcomes. Advanced SQL — comfortable writing performant queries against large, complex datasets; window functions, CTEs, query optimisation. Strong Python — pandas, numpy, scipy, statsmodels (or equivalent); able to build analysis pipelines, not just notebooks. Solid applied statistics — experimental design, hypothesis testing, sample sizing, multiple testing correction, regression ...

mathematical or learning-based tools, and evaluate solutions rigorously. Strong Python skills and### experiencetraining deep learning models at scale, with libraries such as PyTorch, NumPy, and SciPy. Strong software engineering skills, with the ability to turn research prototypes into reliable, scalable, and maintainable systems.### Experiencetaking an algorithm from research idea ...

right mathematical or learning-based tools, and evaluate solutions rigorously. Strong Python skills and experience with modern ML and scientific-computing libraries (PyTorch, NumPy, SciPy). Strong software engineering skills — you can turn research prototypes into reliable, scalable, and maintainable systems. A track record of taking an algorithm from research ...

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 ...

trading 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). … with other languages & frameworks Strong general high performance computing (multi-threading, networking, profiling and optimisation) Familiarity with Python data science tools and frameworks (e.g. NumPy, PyTorch, Polars) Participation in the company bonus scheme. 10% matched pension contributions Private healthcare insurance Long term illness insurance Gym membership #J-18808-Ljbffr ...

Practical exposure to bond pricing, stochastic volatility modelling and Monte Carlo simulations. Proficient in time‐series analysis, econometrics and factor‐based modelling. Advanced Python (numpy, pandas) with production deployment experience. C++ highly valued; SQL proficiency; MS Office with VBA a plus. Clear communicator able to explain complex ideas ...

experience taking messy experimental or simulation data to clean, analyzed results, ideally data you or your lab produced. Strong Python and the scientific stack (NumPy, SciPy, pandas, xarray), with Git and automated tests. Experience with large datasets and the tools to handle them. Clear, fluent English, written and spoken ...

Physics preferred; other STEM subjects such as Computer Science will also be considered. Python: Strong software developer with in‐depth knowledge and experience. Numpy (including numba): in‐depth knowledge is required. Strong knowledge of Unix systems (processes, memory, I/O). Deep understanding of statistical methods, numerical optimisation ...

developer tooling is a plus given the platform's technical depth Background in simulation or engineering workflows Familiarity with scientific computing libraries such as NumPy and SciPy Understanding of how AI agents consume documentation, for example structured descriptions and tool schemas Prior freelance experience in this space, including candidates ...

internal tool that happens to be public. The bet: high‐performance code should feel natural to write. Engineers write plain Python in a NumPy or PyTorch style, and Quadrants makes it fast. The role You own Quadrants end to end: the API, the IR and lowering, the optimization passes ...

analysis, visualization, or data mining, with demonstrated work across structured and unstructured sources Experience in Python and SQL or R, and with Pandas or NumPy, scikit-learn, and model evaluation or tuning Experience building ETL pipelines and querying APIs using tools such as Airflow or dbt, and Git-based version … analysis, visualization, or data mining, with demonstrated work across structured and unstructured sources Experience in Python and SQL or R, and with Pandas or NumPy, scikit-learn, and model evaluation or tuning Experience building ETL pipelines and querying APIs using tools such as Airflow or dbt, and Git-based version ...

fluent in Python and SQL for data analysis, data science and machine learning, and comfortable across the Python Open Data Science Stack (pandas, NumPy, scikit-learn, matplotlib, Seaborn). Have hands-on experience with at least one LLM application pattern — Retrieval-Augmented Generation (RAG), fine-tuning, or building LLM evaluation … fluent in Python and SQL for data analysis, data science and machine learning, and comfortable across the Python Open Data Science Stack (pandas, NumPy, scikit-learn, matplotlib, Seaborn). Have hands-on experience with at least one LLM application pattern — Retrieval-Augmented Generation (RAG), fine-tuning, or building LLM evaluation ...

development of large-scale python codebases Familiarity with the python ecosystem: both the standard library and popular open source libraries such as Flask, Requests, NumPy or PyTorch Understanding of software development best practices and architecture, particularly of web-hosted platforms composed of applications with underlying services Ability to provide ...

years professional Python development experience Good analytical and problem-solving skills At least four skills out of RESTful APIs, JavaScript, CSS3 + SASS, Pandas, NumPy, MySQL, Django, PostgreSQL and GCP cloud Comfortable with Git, Linux and standard development organisation tools, strong experience with collaborative working in an Agile environment Ability ...

Desirable A degree or equivalent experience in computer science, engineering, mathematics, physics, or another quantitative discipline. Experience with scientific and data tools such as NumPy, SciPy, pandas or Polars,Pydantic,Plotly, or equivalent technologies. Experience with time‐series or sensor data, data validation, numerical optimisation, simulation, statistics, or uncertainty analysis. ...

live trading, leveraging a graph-based DAG framework for high-performance data processing. The ideal candidate has a strong Python background, expertise with NumPy/Numba and Unix, plus experience in statistical methods and DAG data processing. #J-18808-Ljbffr ...

Must have: Time-series stats - volatility modeling (GARCH-family), understands stop-distance derivations. Backtesting discipline: walk-forward validation, allergic to curve-fitting. Pandas/numpy fluency, comfortable with real market-data quirks.Strong plus: Options/derivatives pricing exposure (F&O strategy work). Has independently replicated someone else's backtest ...