76 to 100 of 120 NumPy Jobs in England

quality sample and genomic data. You have A BSc or MSc in computer science or related fields Expertise in Python, including popular Python libraries: NumPy, Pandas, PySpark and frameworks: Django, Django Rest Framework, FastAPI Hands-on experience with both relational (e.g. PostgreSQL) and non-relational databases (e.g. Elasticsearch, Redis) Extensive ...

SQL. Assist in developing predictive and statistical models Write and optimize queries using SQL. Familiarity with data manipulation libraries (Pandas, NumPy), Understanding of statistics and probability. Hands-on experience with ML libraries like Scikit-learn, TensorFlow, or PyTorch. Preferred Skills: Hands on experience in coding (mandatory python ...

finance (e.g. trading, pricing, risk, PnL). Translating desk problems into Technical Solutions. This Python developer will be using the full Python ecosystem: NumPy, pandas, SciPy, Plotly, FastAPI, but the desk expects you to go beyond the textbook stack. If you are interested in this Python role with good Front ...

record delivering impactful ML/AI solutions in production. Deep expertise in Python and modern AI/ML frameworks (e.g., PyTorch, TensorFlow, scikit-learn, NumPy, Pandas). Hands-on experience with GenAI, agentic AI, and automated testing for AI systems. Curiosity and creativity to challenge assumptions and explore new approaches. ...

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 ...

Fund, Trading Firm, and/or working with Quant Trading Technology. Expertise in Python, including popular Python libraries for data wrangling, such as Pandas, NumPy, and SQLAlchemy. Experience working with traditional SQL databases (e.g. PostgreSQL, MySQL, SQL Server) and cloud data warehouses (e.g. Snowflake, Databricks, BigQuery, Redshift). Experience with ...

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 ...

statistics Familiarity with Linux , Git , and scripting (Bash or similar) Excellent problem-solving skills, attention to detail, and communication ability Experience using Pandas/Numpy/Plotly/HoloViz Panel is beneficial Knowledge of C++ is also beneficial Experience and knowledge of the fixed income or credit financial instruments ...

experience in a software engineering, quantitative developer, or data engineering role. Experience within the finance industry is a strong plus. Good working knowledge of NumPy and Pandas. Familiarity with backend development and async programming in Python/modern Python frameworks. Experience with containerisation and cloud deployments (Docker, cloud platforms such ...

programming with Java, C++ or another object‐oriented language Experience performing data analysis in Python, including proficiency with data science libraries such as NumPy and pandas, and visualization tools Ability to translate quantitative models into reliable, maintainable production code Effective interpersonal and communication skills; ability to collaborate with traders, quantitative ...

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 ...

least 2 years’ experience working as a data engineer (ideally consulting/financial services) – salary and level will reflect experience. Proficiency in Python (pandas, numpy) Professional experience with Azure cloud services (AWS/GCP acceptable with deeper experience) Strong experience deploying clean, maintainable, production-level code. Basic understanding ...

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 ...

detail. Proven track record of stakeholder relationship management, communication, and cross-team collaboration. We’d love to see: Strong proficiency in Python (Pandas, NumPy, and data visualization libraries). Experience developing or managing annotation programs and training/evaluation datasets for ML or NLP models. Basic understanding of HTML ...

model. Familiarity with Python and the packages widely used in data science and machine learning. Developers should be familiar with libraries like NumPy, pandas, scikit-learn, TensorFlow, and PyTorch. Familiarity with best practice in Machine Learning workflows and MLOps tools. Fluency in validation and evaluation framework and metrics frameworks ...

architecture deployed at scale on Kubernetes. The rest of the tech stack includes Django REST Framework, FastAPI, PostgreSQL, AWS, React.js, Docker, Redis, Celery, Pandas, NumPy, Git, Jenkins and Elasticsearch. We put significant emphasis on design patterns, code readability, automated testing, maintainability and extensibility. As Software Architect ...

/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 ...

expected to lead by example technically, including: Applied ML on time-series/IoT/sensor/energy/building data Python (NumPy, pandas, scikit-learn, etc.) Productionisation of models into scalable workflows MLOps practices (e.g. MLflow, Airflow/Prefect, Docker) Building reproducible, well-tested data science pipelines Working with ...

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 ...

Computer Science, Engineering, Mathematics, Physics, Chemistry, or a related discipline. Strong practical Python skills and experience with common data science libraries such as pandas, numpy, scipy, statsmodels, or scikit-learn. The ability to turn data into clear, actionable insights for both technical and non-technical audiences. Experience working with predictive ...

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 ...