1 to 25 of 48 NumPy Jobs in the UK excluding London

Strong proficiency in Python for AI/ML development, including use of common ML and data libraries (e.g. TensorFlow/PyTorch, scikit-learn, pandas, NumPy). Proven experience integrating AI services with enterprise systems via APIs and event-driven architectures. Practical experience with LLMs, prompt engineering, RAG and tools/ ...

3+ years of experience in Data Science, Data Analytics, Machine learning, or a related field. Proficient in Python and working knowledge of libraries like NumPy, Pandas, Matplotlib, and scikit-learn. Proficient in Structured Query Language (SQL) Strong mathematical, analytical, and problem‐solving skills. Understanding of dataset preparation, splits, data quality ...

software engineering best practices including CI/CD, testing, version control and code quality standards. Experience with data processing and analysis tools including Pandas, NumPy, SQL and model deployment technologies such as FastAPI, ONNX or TorchScript. Soft Skills & Collaboration Strong communication skills with the ability to engage technical ...

software engineering best practices including CI/CD, testing, version control and code quality standards. Experience with data processing and analysis tools including Pandas, NumPy, SQL and model deployment technologies such as FastAPI, ONNX or TorchScript. Soft Skills & Collaboration Strong communication skills with the ability to engage technical ...

workflows Awareness of secure development practices and experience handling sensitive or regulated data (e.g. GDPR, ISO 27001, or similar) Technical Skills Python (essential) – pandas, NumPy, and the modern data/ML ecosystem SQL – advanced querying, modelling, and optimisation Data pipelines & orchestration – Airflow, Prefect, Dagster, or dbt Data warehouses/lakes ...

least 4 years as a Data Scientist, Hands-on experience deploying ML models to production, not just research-level familiarity, Strong proficiency in Python (NumPy, pandas, scikit-learn, matplotlib, pytorch), Understanding of Windows or Linux software development platforms Excellent command of English – both written and spoken (international client communication, presentations ...

. 2+ years of hands‐on experience developing and deploying machine learning or statistical models within a commercial environment. Advanced proficiency in Python (pandas, NumPy, scikit‐learn) and advanced SQL. Solid understanding of core ML algorithms (e.g. XGBoost, LightGBM, linear/logistic regression, clustering, time‐series forecasting). Practical familiarity ...

data scientists, and product managers Contribute to a culture of continuous improvement, knowledge sharing, and technical excellence Required Skills & Qualifications Strong proficiency in Python (NumPy, Pandas, Scikit-learn, or similar) Experience building data pipelines and working with structured and unstructured data Solid understanding of SQL and relational and non-relational ...

analysis, computer vision, machine learning, or statistical modeling, Practical experience with ML model deployment (on cloud or on-premise), Solid programming skills in Python (NumPy, pandas, scikit-learn, matplotlib, PyTorch or TensorFlow), Understanding of Windows or Linux software development platforms Good understanding of statistics and data preparation, Working knowledge ...

data scientists, and product managers Contribute to a culture of continuous improvement, knowledge sharing, and technical excellence Required Skills & Qualifications Strong proficiency in Python (NumPy, Pandas, Scikit-learn, or similar) Experience with React (hooks, state management, component architecture) Experience building data pipelines and working with structured and unstructured data Solid ...

data transfers, EDC extracts, visit structures and database lock Strong Python skills gained in a commercial setting, including the scientific Python stack e.g. pandas, NumPy, pandera and pytest Experience building and maintaining production data pipelines with automated testing and CI/CD Experience implementing data validation and quality checks Experience ...

Broad experience across multiple ML domains, including: Forecasting/Time-Series Modelling Regression Classification Gradient Boosting models (e.g. XGBoost, LightGBM) Strong Python skills (Pandas, NumPy, scikit-learn, PyTorch) Experience with model evaluation, performance monitoring, and accuracy metrics Version control (Git) Experience working with cloud environments (Azure preferred, AWS/ ...

multi-threading (-s), worker processes, memory allocators, compression algorithms, and partitioned database maintenance. Languages & Frameworks: Strong proficiency in Python (including data science stack: Pandas, NumPy, and integration tools like embedPy, PyKX, or qPython). Solid understanding of Java interface programming with KDB+ and platform Familiarity with enterprise messaging middleware (Kafka ...

model serving is Nice to have. Exposure to GenAI (e.g., llama, OpenAI, HuggingFace, LangChain, Agentic AI etc) or Data Engineering (e.g., Data platforms, pandas, numpy) is a strong advantage. Work on cutting-edge technologies and impactful projects. Opportunities for career growth and development. Collaborative and inclusive work environment. Competitive salary ...

Keep your certifications current and stay on top of emerging tools, especially in GenAI and agentic AI We're looking for: Advanced Python, including NumPy, Pandas and Scikit-learn, with hands-on experience building, training and deploying ML models Strong practical knowledge of GenAI, including prompt engineering, LLM optimisation, multimodal ...

programming, software testing and test automation. An introduction to data science, including data analysis, statistics and visualisation. Training in Python and tools such as NumPy, Pandas and PyTest. An introduction to AI and Machine Learning, including LLMs, SLMs and traditional ML models. Specialist training in AI testing, model performance, data ...

programming, software testing and test automation. An introduction to data science, including data analysis, statistics and visualisation. Training in Python and tools such as NumPy, Pandas and PyTest. An introduction to AI and Machine Learning, including LLMs, SLMs and traditional ML models. Specialist training in AI testing, model performance, data ...

understanding of core ML concepts - supervised/unsupervised learning, model evaluation, feature engineering - and broad familiarity with common algorithms and architectures. Strong Python (pandas, NumPy, etc.) and SQL skills Comfortable with the standard ML toolkit: Git, Docker, scikit-learn, PyTorch or TensorFlow, and ML pipelines. Hands-on experience with text ...

foundational model systems and frameworks/best practices for building agents. Experience using Python and common data science libraries such as pandas, scikit-learn, NumPy and visualisation frameworks. Strong SQL skills with experience querying and transforming large datasets, ideally using platforms such as BigQuery, Snowflake, or similar 'big data' warehouses. ...

university projects, internships or personal projects. Experience with AWS or Google Cloud Platform. Knowledge of Docker and CI/CD concepts. Exposure to Pandas, NumPy, R or machine learning. Interest in scientific, healthcare, biotech or data-focused environments. Whether you're a recent graduate, have completed a placement year ...

computer 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 ...

English language skills. Knowledge of at least one of the following (the candidate is not expected to be knowledgeable in every area): Python (Pandas, NumPy), SQL & data modeling, Data wrangling and ETL, Data visualization (Power BI/Tableau), Machine Learning fundamental, API integration, Generative AI & prompt engineering, AI application development ...

trading and risk platforms (eg Quartz, SecDB, Athena, Kanon, Beacon or similar) \n Strong SQL and large-scale data handling expertise \n Pandas and NumPy for data processing and analytics \n REST API development using Flask, FastAPI or Django \n Strong understanding of performance optimisation and scalable systems \n Unix ...

trading and risk platforms (eg Quartz, SecDB, Athena, Kanon, Beacon or similar) \n Strong SQL and large-scale data handling expertise \n Pandas and NumPy for data processing and analytics \n REST API development using Flask, FastAPI or Django \n Strong understanding of performance optimisation and scalable systems \n Unix ...

cloud infrastructure to support data and application workloads What We're Looking For Strong Python development experience, ideally with exposure to libraries such as NumPy, Pandas or Scikit-learn. Experience building data pipelines and working with structured and unstructured data. Experience working with AWS services such as S3, Lambda ...