101 to 125 of 247 Pandas Jobs in the UK

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 and spoken communication ...

Lakes, Blob Storage, Lakehouses and Data Modelling concepts (Kimball, star schemas) Strong ability to write Python code, including experience with data manipulation libraries (PySpark, Pandas etc) Strong ability to write SQL queries for data retrieval and manipulation Strong problem-solving skills to address and resolve data-related issues. Effective communicator ...

into actionable business insights. Preferred Qualifications, Capabilities and Skills Master’s degree or background in Computer Science. Advanced proficiency in Python for data science (Pandas, NumPy, Scikit-learn, TensorFlow, Keras). Advanced experience in pattern recognition, predictive modeling, and statistical analysis. Experience with regression, classification, clustering, dimensionality reduction, and pipeline ...

equivalent practical experience Substantial experience building data applications, automations or internal tools used by business teams Strong Python for scripting, automation and data processing (pandas, requests, testing), plus solid R with experience building and deploying Shiny applications Good SQL and experience integrating systems through REST APIs Practical experience building with ...

5+ years of experience in Software Engineering, Test Automation, AI Engineering, or Data Engineering Strong proficiency in Python and data/AI libraries (e.g., pandas, numpy, PyTorch or similar) Solid understanding of LLMs, NLP concepts, or generative AI systems Experience with test automation frameworks (e.g., PyTest, Playwright) and CI/ ...

observability etc. Experience monitoring, maintaining, enhancing existing models over an extended time period Extensive experience with pytorch and related data science python libraries (e.g. pandas) Experience of containerising applications or models for deployment (Docker) Experience with one of the major public cloud providers (Azure, AWS, GCP) Ability to communicate technical ...

engineering, or data science Hands‐on experience with production ML systems Strong Python skills and experience with tools such as: scikit‐learn, PyTorch, TensorFlow Pandas, NumPy Hugging Face/generative AI tooling Understanding of MLOps, cloud platforms (AWS, Azure, GCP), and SQL A passion for coaching, mentoring, and developing others ...

least 3 years building data applications, automations or internal tools used by business teams. Python: Strong Python for scripting, automation and data processing (pandas, requests, testing). R and Shiny: Solid R and experience building and deploying Shiny applications. SQL and APIs: Good SQL and experience integrating systems through REST ...

practices concerning code maintainability, documentation, quality assurance, continuous integration and deployment Experience supporting production systems Experience with any of the following: gRPC microservices, Postgres, Pandas, Golang, R, Git, Jenkins, Bazel, Prometheus, Grafana, Airflow, Kubernetes Equal Opportunity Employer The Voleon Group is an Equal Opportunity employer. Applicants are considered without regard ...

solid understanding of machine learning and deep learning methods Extensive experience with machine learning and deep learning toolkits (e.g.: TensorFlow, PyTorch, NumPy, Scikit-Learn, Pandas) Ability to design experiments and training frameworks, and to outline and evaluate intrinsic and extrinsic metrics for model performance aligned with business goals Experience with ...

with significant industry or research experience in the field Extensive experience with machine learning and deep learning toolkits (e.g.: TensorFlow, PyTorch, NumPy, Scikit-Learn, Pandas) Ability to design experiments and training frameworks, and to outline and evaluate intrinsic and extrinsic metrics for model performance aligned with business goals Experience with ...

Forest, XGBoost, etc.) and modern Deep Learning algorithms (e.g. BERT, LSTM, etc.) < Strong knowledge of SQL and Python's ecosystem for data analysis (Jupyter, Pandas, Scikit Learn, Matplotlib) Strong software development skills (Python is the preferred language) Proven experience in deploying ML/AI services suing Kubernetes & KubeFlow Strong management ...

need everything) Experience of working in an Agile delivery team Strong analytic skills related to working with unstructured datasets Python (PySpark, Pandas, PyArrow) Distributed data processing (Apache Spark) Data ETL (Apache Airflow, AWS Step Functions, Apache NiFi) Cloud services (AWS, Azure or GCP) Messaging/Streaming (Kafka, AWS SQS, Other ...

need everything) Experience of working in an Agile delivery team Strong analytic skills related to working with unstructured datasets Python (PySpark, Pandas, PyArrow) Distributed data processing (Apache Spark) Data ETL (Apache Airflow, AWS Step Functions, Apache NiFi) Cloud services (AWS, Azure or GCP) Messaging/Streaming (Kafka, AWS SQS, Other ...

years’ relevant experience in data science or quantitative research Skills and experience we’re looking for: Data analysis in Python (NumPy, SciPy, pandas, scikit-learn or similar) Heavy, day-to-day use of AI tools in your technical work, such as coding assistants and LLMs, with the judgement to verify ...

async Python frameworks) Strong working knowledge of modern machine learning — able to understand, integrate, and extend the functionality of an ML library (NumPy, SciPy, Pandas, and frameworks such as scikit-learn or PyTorch) Understanding of core ML concepts — model training, evaluation, and production trade-offs — enough to design robust interfaces ...

transformation methodologies Experience contributing to large-scale, efficient and performant analytics workflows, including ETL, orchestration, and distributed compute, using industry-standard libraries such as Pandas, Polars, and Dask. Experience working in a modern software engineering environment leveraging Agile (Scrum), DevSecOps methodologies, CI/CD workflows, and tools including ...

building production systems that deliver measurable business impact Technical Mastery: High proficiency in Python and SQL. Expert-level experience with the Python data stack (pandas, NumPy, scikit-learn) and at least one major ML framework (such as PyTorch or XGBoost/LightGBM) Systemic Problem Solving: Ability to work on unique ...

mathematics, epidemiology or a closely related field . Essential Application Demonstrable programming skills in Python, including common data science/machine learning libraries (eg pandas, scikit-learn or PyTorch/JAX). Essential Application/interview Working knowledge of core machine learning methods (eg regression, classification, clustering). Essential Application ...

team, presenting results with their uncertainty and QC so they can understand and check them themselves. Fluency in Python and its scientific stack, including pandas, NumPy and SciPy, and in working with coding agents. SQL and relational schema design for samples, plates and results. Turning scientists’ questions into requirements ...

rigour behind a result (data quality, evaluation methodology) as the result itself. Our technology stack You’ll be working with: ML frameworks: TensorFlow, PyTorch, Pandas, NumPy Python/Linux environment MLOps tooling such as MLflow Jupyter Notebooks Relational and non‐relational databases: AWS Redshift, PostgreSQL, vector databases Apache Airflow ...

learning models. Engage with senior stakeholders and contribute to business development initiatives. Provide thought leadership through industry engagement and innovation. Requirements Strong Python, SQL, Pandas, Scikit-Learn and Spark experience. Experience delivering real-world AI and machine learning systems. Understanding of statistics and machine learning methodologies. Experience with cloud platforms ...

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

learning models. Engage with senior stakeholders and contribute to business development initiatives. Provide thought leadership through industry engagement and innovation. Requirements Strong Python, SQL, Pandas, Scikit-Learn and Spark experience. Experience delivering real-world AI and machine learning systems. Understanding of statistics and machine learning methodologies. Experience with cloud platforms ...

Publisher: Build interactive OAS dashboards, analyses, and BI Publisher data models, layouts, bursting, and automated schedules. Python Automation: Design production-grade Python scripts (pandas, oracledb, SQLAlchemy, openpyxl, etc.) to replace Access macros, automate extraction, and deliver automated report packs. Testing & Delivery: Conduct parallel runs, complete data reconciliation, establish rollback plans ...