76 to 100 of 107 NumPy Jobs in England

solutions What we’re looking for: Around 3+ years’ experience in a data science or similar role Strong Python skills, particularly with libraries like NumPy, pandas, and SciPy Experience with ML frameworks such as scikit-learn, TensorFlow, or PyTorch A track record of working with messy, real-world datasets (ideally ...

choices, QC decisions and modelling approaches Build robust, documented and reusable scientific software Essential Skills Strong Python experience for scientific computing Experience with Pandas, NumPy, SciPy and visualisation libraries such as Matplotlib or Seaborn Experience analysing bioassay, assay or experimental biology data Understanding of dose-response modelling, curve fitting ...

entsDegree in Computer Science, Physics, Engineering, Bioengineering or a related technical discipl ine.Strong Python development experie nce.Experience working with scientific computing libraries such as NumPy, SciPy, Pandas, Matplotlib, Scikit-learn or PyTo rch.Experience integrating software with hardware, instrumentation or other physical syst ems.Experience developing graphical user interfaces using frameworks such ...

Python, with hands‐on experience in data analysis and writing production‐quality code. Extensive experience with machine learning and data analysis toolkits (e.g., NumPy, Scikit‐Learn, Pandas). Ability to effectively leverage Generative AI tools to enhance productivity, analysis, and problem‐solving in day‐to‐day work. Strong written ...

data structures, software architecture, and data modelling, with experience handling diverse datasets (tabular, computer vision, point cloud, game data). Proficient with ML frameworks (NumPy, OpenCV, scikit‐learn, PyTorch/PyTorch3D, TensorFlow, Keras). Experience with CI/CD pipelines, version control (GitLab, Perforce), cloud platforms (preferably AWS) and scalable ...

5+ years of Python development experience Strong SQL and data engineering capability Experience with Flask, FastAPI or Django Strong knowledge of Pandas/NumPy Investment banking or capital markets background Exposure to risk, trade lifecycle, reconciliations or derivatives products Nice to have: PySpark, pricing models, Unix/Linux scripting ...

management. Preferred Skills & Experience Proven experience developing systematic trading systems, preferably in equities. Strong programming skills in Python, with expertise in libraries such as NumPy, pandas, or Polars. Experience working with SQL databases, Snowflake, and cloud platforms (e.g. AWS). Strong analytical and problem-solving abilities. Excellent organizational skills with ...

/Computer Science Academic background 3-5 years of experience with Python (writing and managing code releases) Familiarity with numerical Python libraries, e.g. Pandas, Numpy Firm understanding of version control, testing, and continuous integration Understanding and appreciation for best practices Experience working with SQL databases and Sqlalchemy desired We encourage ...

typologies and how they translate into detection logic Strong SQL. Complex queries, large datasets, no hand-holding Python for analysis and modelling (pandas, numpy; ML exposure expected) Experience building, tuning, or deploying detection systems (rules and/or models) Ability to think about systems end-to-end. Not just models ...

models that perform reliably in complex operational environments. What We’re Looking For Strong experience in Python and SQL, including libraries such as Pandas, NumPy and scikit-learn. Experience working with deep learning frameworks such as PyTorch or TensorFlow. A solid grounding in statistics and probability, with strong mathematical foundations ...

curation, training pipelines, performance optimisation, edge ML, MLOps, deployment and maintenance of ML solutions, Python development, Python-based ML frameworks, PyTorch, TensorFlow, sklearn, OpenCV, NumPy, feature development, code review, pytest, linting, bug fixing, relational databases, database design and maintenance, AWS/cloud infrastructure, CI/CD pipelines, developer tooling, Linux ...

understanding of commercial development practices such as testing, documentation, package management and SDLC* Excellent understanding of python for numerical programs. In particular, pandas and numpy are a must* Excellent problem-solving skills* Strong communication skills (the role will involve explaining complex algorithms to colleagues with varying technical and mathematical experience ...

full software development lifecycle (including information security and model risk controls):* **Python** coding experience is essential (especially libraries for data manipulation like Pandas/NumPy, and web frameworks like Flask/Django for internal tools).* **Databricks/Snowflake** experience in a data engineering context to support both traditional database ...

Python ML Model Development Kafka,Spark, PostgreSQL scikit-learn, PyTorch, pandas, NumPy, XGBoost, Spark, Apache Spark,Apache Airflow,Apache Kafka, RabbitMQ,PostgreSQL, MySQL R, Bash, TensorFlow, XGBoost, LightGBM, Mllib,Classical ML, Deep Learning, NLP, Time Series Forecasting, DataBricks ...

risk functions What we’re looking for Strong Python development experience within enterprise environments Excellent SQL and data processing skills, including Pandas/NumPy Experience building APIs and backend services using frameworks such as FastAPI, Flask or Django Previous exposure to trading, risk, PnL or capital markets environments Experience with ...

have? As our Data Scientist you will have: At least 2 years experience in Statistics and Machine Learning Experience with Python Machine Learning libraries (NumPy, Pandas, SKLearn etc) At least 3 years Python programming experience Experience applying models to Big Data Familiar with the principles of Continuous Integration and Deployment ...

Senior Data Scientist you will have: At least 4 years experience in Statistics and Machine Learning Experience with Python Machine Learning libraries (NumPy, Pandas, SKLearn etc) At least 3 years Python programming experience Experience applying models to Big Data Familiar with the principles of Continuous Integration and Deployment (CI/ ...

Bring: • Proven experience as a data scientist in complex or public‐sector environments • Strong proficiency in Python and common data science libraries (Pandas, NumPy, Sci‐Kit Learn, etc.) • Experience with data visualisation tools and techniques • Ability to communicate complex concepts clearly and effectively • Experience supporting or mentoring junior colleagues • Full ...

regulatory requirements into practical analytical frameworks Communicate complex findings clearly to technical and non-technical stakeholders Essential experience: Strong Python data science stack (pandas, NumPy, scikit-learn) Proven delivery of complex models (predictive, probabilistic, simulation-based) in real environments Deep experience in risk modelling, including risk scoring frameworks, predictive risk ...

models in production environments, particularly across forecasting, pricing, or optimisation use cases • Strong Python engineering skills alongside modern data tooling such as SQL, Pandas, NumPy, SciPy, Dask, Polars, DuckDB, or PySpark • Experience building microservices and working within distributed system architectures • Strong understanding of large-scale or high-frequency data environments ...

forecasting, pricing, optimisation, or similar analytical problem spaces • Solid Python skills and working knowledge of modern data tools such as SQL, Pandas, Polars, DuckDB, NumPy, or SciPy • Exposure to Dask, PySpark, distributed systems, or microservices is beneficial but not essential • Interest in working with large-scale or high-frequency datasets ...

C++ handling large‐scale data (internships, research labs, competitive projects, open‐source). Comfortable with Python for analysis, tooling, and debugging (pandas/numpy/Jupyter a plus). Exposure to quantitative finance, e.g. through internships/university societies, including market microstructure and L3/order book data. Clear “builder ...

demonstrable track record of success in online data‐science competitions, such as Kaggle) Strong object‐oriented engineering skills, with experience in Python, PyTorch and NumPy desirable The ability to apply advanced optimisation methods, modern ML techniques, HPC, profiling or model‐inference expertise; you do not need to have ...

communicate effectively with team members in diverse fields Strong programming abilities in Python, and extensive experience with the scientific and machine-learning stack: Numpy, Torch/Tensorflow/Jax, Scikit-learn, Polars, SQL Expertise with deep learning approaches such as diffusion or flow matching Proficiency in modern software development practices ...

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 ...