51 to 75 of 222 Pandas Jobs in England

life cycle processes and tools: CI/CD, version control (git), testing frameworks, MLOps. Experience with data science Python libraries such as Scikit-learn, Pandas, NumPy, Pytorch etc. Comfortable working with Docker and containerised applications Experience using AWS or similar cloud computing platform Experience delivering machine learning solutions within regulated ...

insurance industry. Exposure to reinsurance, in particular casualty lines, would be a distinct advantage. Excellent Python skills, with demonstrable, production-quality experience using pandas and related libraries for data cleansing, transformation and automation. Experience with Git and collaborative development workflows. Strong SQL, with practical experience of designing relational database schemas ...

products. (We typically use Heroku, but experience with AWS, GCP or others is very welcome.) Experience using Python libraries for data analysis, such as pandas, scikit, numpy, nltk, matplotlib, jupyter. Ability to communicate effectively on both technical and non-technical levels, and to cultivate a supportive environment for more junior ...

professional experience building quantitative trading tools, models, or analytics in a financial or commodities setting Strong Python skills in a scientific computing environment (numpy, pandas, scipy, statsmodels or similar) Solid grounding in statistics, time series analysis, and data modeling; machine learning experience is a plus Experience building data pipelines ...

life cycle processes and tools: CI/CD, version control (git), testing frameworks, MLOps.- Experience with data science Python libraries such as Scikit-learn, Pandas, NumPy, Pytorch etc.- Comfortable working with Docker and containerised applications- Experience using AWS or similar cloud computing platform- Experience delivering machine learning solutions within regulated ...

Strong understanding of OOP concepts, design patterns, SOLID principles, algorithms, data structures, and ability to write clean, maintainable code Backend Development – Proficiency in Python (Pandas, FastAPI, Flask) for building enterprise applications, data processing and API development Database Technologies – Hands‐on experience with RDBMS databases (e.g., Oracle, PostgreSQL) and NoSQL databases ...

Extensive experience with traditional ML algorithms, Deep Learning frameworks, and complex time-series forecasting. Experience developing production-grade Python code: High proficiency in Python, Pandas, and modern software practices (testing, clean code, code review, CI/CD). Data & Pipeline Expertise: Hands-on experience optimizing data models and access patterns ...

Strong understanding of OOP concepts, design patterns, SOLID principles, algorithms, data structures, and ability to write clean, maintainable code • Backend Development – Proficiency in Python (Pandas, FastAPI, Flask) for building enterprise applications, data processing, and API development • Frontend Development – Experience with ReactJS , Node.js, TypeScript/JavaScript, and modern web development practices ...

Extensive experience with traditional ML algorithms, Deep Learning frameworks, and complex time‐series forecasting. Experience developing production‐grade Python code: High proficiency in Python, Pandas, and modern software practices (testing, clean code, code review, CI/CD). Data & Pipeline Expertise: Hands‐on experience optimizing data models and access patterns ...

decisions. Knowledge of 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 ...

Strong knowledge of modern data science and machine learning techniques, including supervised and unsupervised learning. Proficiency in the Python data science ecosystem (e.g. NumPy, Pandas, scikit‐learn, PyTorch, TensorFlow). Experience with big data and distributed analytics platforms (e.g. Spark, Hadoop). Hands‐on experience with Natural Language Processing, graph ...

Strong knowledge of modern data science and machine learning techniques, including supervised and unsupervised learning. Proficiency in the Python data science ecosystem (e.g. NumPy, Pandas, scikit‐learn, PyTorch, TensorFlow). Experience with big data and distributed analytics platforms (e.g. Spark, Hadoop). Hands‐on experience with Natural Language Processing, graph ...

Strong knowledge of modern data science and machine learning techniques, including supervised and unsupervised learning. Proficiency in the Python data science ecosystem (e.g. NumPy, Pandas, scikit‐learn, PyTorch, TensorFlow). Experience with big data and distributed analytics platforms (e.g. Spark, Hadoop). Hands‐on experience with Natural Language Processing, graph ...

starting ASAP, with a hybrid working model (3 days per week in the London office). Specific skills/experience required: Strong Python (3.11+), pandas and NumPy skills. Production-grade Streamlit dashboard development. Data integration using Snowflake, OpenSearch, REST APIs and SQL. AWS experience (boto3, S3, Parquet). Data visualisation ...

batch and online) Solid understanding of statistical methods, including GLMs and modern ML techniques Proven ability to build and deploy production-quality Python applications (pandas, scikit-learn) Experience with DevOps and ML tooling, including Kubernetes, Docker, CI/CD, and git-based workflows Familiarity with cloud platforms (AWS) and cloud ...

Full Time Location : Derby, Derbyshire, United Kingdom 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 ...

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 ...

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 ...

Python and SQL Strong foundation in mathematics and statistics Proficiency in Python, including relevant libraries for data analysis and machine learning (e.g. sklearn, Pandas, NumPy) Knowledge of data analysis techniques, such as statistical modelling and visualisation, to draw insight from data Familiarity with Git as part of the development process ...

Computer Science, Mathematics, Physics, Engineering, or a closely related quantitative field. Programming expertise in Python, including experience with relevant data science libraries (e.g., NumPy, Pandas, TensorFlow, Pytorch). Understanding of statistical modelling and machine learning algorithms Excellent analytical, problem-solving, and communication skills. Demonstrated curiosity, ownership, and a willingness ...

memory management, and interoperability protocols such as MCP Experience with machine learning frameworks and data science packages such as PyTorch, TensorFlow, scikit‐learn, NumPy, pandas, SciPy, and statsmodels Experience deploying to AWS, including services such as SageMaker and Bedrock, and operating production large language model and machine learning workloads with ...

techniques, or a strong ability and willingness to learn new techniques quickly. Python and Data Structures: Strong Python programming skills, including familiarity with NumPy, Pandas, scikit-learn and core concepts such as data structures, algorithms and computational complexity. Quantitative Research: Strong analytical skills and the ability to formulate hypotheses, test ...

frameworks, and deployment pipelines Solid foundations and understanding of production‐grade, cloud‐native platform and infrastructure requirements, design, and implementation. Strong data manipulation skills (pandas, SQL) and understanding of evaluation strategies for LLM‐based systems Ability to work with ambiguity and optimise non‐deterministic systems through a process of experimentation ...

financial services, lending, payments, or another decision‐intensive domain. Proficiency in SQL, Python and core data science and machine learning libraries, such as NumPy, Pandas and Scikit‐Learn. Strong practical experience with machine learning model development, deployment, monitoring, and iteration in production environments, including cloud‐based model training, archiving, serving ...

Experience designing and executing marketing experiments Proficiency in applying ML techniques to marketing and customer datasets Strong proficiency in Python and data science libraries (pandas, NumPy, scikit-learn, statsmodels, or equivalent) Strong command of SQL for querying and analyzing large-scale marketing and media datasets Preferred Qualifications Experience with paid ...