101 to 120 of 120 NumPy Jobs in England

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/ ...

team,* Familiar with common machine learning and model acceleration frameworks (e.g. PyTorch, ONNX, ONNX Runtime)* Experienced with Python data and matrix manipulation libraries (e.g. numpy and pandas),* Knowledgeable about Python memory management and optimising GPU usage (beneficial but not essential),* Experienced with Rust, specifically the ort crate (beneficial ...

Optimize models for performance, scalability, and accuracy. Qualifications: Deep knowledge of neural networks (CNNs, RNNs, LSTMs, Transformers). Strong experience with data tools (Pandas, NumPy, Apache Spark). Solid understanding of NLP algorithms. Experience integrating ML models via RESTful APIs. Familiarity with CI/CD pipelines and deployment automation. Strategic ...

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 ...

Solid understanding of data structures, schemas, and normalisation principles. Skilled in creating impactful data visualisations and dashboards. Proficiency in Python (including libraries like Pandas, NumPy, SQLAlchemy). If this sounds like the role for you then please apply today! Alternatively, you can refer a friend or colleague by taking part ...

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 ...

optimise complex SQL queries for data extraction, transformation, and validation Build and maintain Power BI dashboards to support finance reporting Use Python (Pandas/Numpy) for deeper analysis, automation, and data profiling Translate business requirements into analytical outputs and actionable insights Implement data quality checks to ensure accuracy and reliability ...

quant trading while leveraging your technical expertise to drive results. What you'll bring 2+ years professional experience in Python, including use of NumPy and other scientific libraries. A passion for working with data/dataframes and solving data-related challenges. Strong Pandas experience is required. Minimum bachelors degree ...

data warehouse, data pipelines, analytics & business intelligence Power BI calculation groups, bookmarks, semantic model incremental refresh Tabular Editor Excel dynamic array functions Python, Pandas, NumPy, Matplotlib Sage 200 Linnworks Peoplevox Google Analytics (GA4) Working arrangements: 5 days a week, onsite, Salford, Manchester. They are looking for an experienced Data Analyst ...

discovery) will be highly advantageous. 3. A working knowledge and practical experience with Python, and extensive experience with the scientific and machine-learning stack: Numpy, Torch/Tensorflow/Jax, Scikit-learn, Polars, SQL. Key Words: Machine Learning Engineer/Data Processing/Model Building/NMR/Deep Learning ...

similar quantitative discipline Have leadership experience either through previous management or mentorship Are proficient with Python, including open-source data libraries (e.g Pandas, Numpy, Scikit learn etc.) Have experience productionising machine learning models Are an expert in at least one of: predictive modelling, classification, regression, optimisation or recommendation systems Have … fine tuning, RAG, agents) Experience with graph technology and/or algorithms Our technology stack 💻 Python and associated ML/DS libraries (scikit-learn, numpy, LightlGBM, Pandas, LangChain/LangGraph, TensorFlow, etc..) PySpark AWS cloud infrastructure: EMR, ECS, Athena, etc. MLOps: Terraform, Docker, Airflow, MLFlow More information: Enjoy fantastic perks ...

transforming it for ingestion into systems such as a lakehouse or other operational platforms (e.g. Sage 200). Experience analysing data using Python (Pandas, NumPy) will also be required to support legacy reporting. Experience in monitoring, troubleshooting, and resolving production data issues as they arise. Experience in challenging and refining ...

candidate must have some experience in several of the following areas: Full stack development Python (and associated data analysis libraries such as Numpy and Pandas) C#, .NET, and JavaScript/Typescript Visual Basic for Applications (VBA) Linux, including bash scripting Git You will maintain, develop and use internal software relating ...

reasonable timeframes (days/weeks) Develop problems requiring non-trivial reasoning chains and creative problem-solving approaches Verify solutions using Python with standard libraries (Numpy, Pandas, Scipy, scikit-learn) Document problem statements clearly and provide verified correct answers What We Look For This opportunity is a good … learning experience with proven business impact Portfolio of completed projects and publications showcasing real-world problem-solving Expert Python programming for data science (pandas, numpy, scipy, scikit-learn, statsmodels) Expert statistical analysis and machine learning – deep understanding of algorithms, methods, and their practical applications Expert with SQL and database operations ...

inference accuracy Developing ML and statistical models for RF classification, anomaly detection, and emitter identification Prototyping real-time or batch-processing systems in Python (NumPy, SciPy, PyTorch) with potential integration via ZMQ, GNU Radio, or C++ backends Leading RF data collection, field experiments, and over-the-air testing using drones … wireless devices, and custom transmitters Requirements Strong Python proficiency for RF data analysis and prototyping (NumPy, SciPy, matplotlib, scikit-learn, PyTorch) Solid understanding of DSP fundamentals (FFT, filtering, modulation, correlation, noise modelling, resampling) Familiarity with SDR frameworks such as GNU Radio, SDRangel, osmoSDR, or SoapySDR Practical understanding of RF hardware ...