126 to 150 of 270 Pandas Jobs

production-ready features Contributing to both R&D-heavy and commercially driven engineering initiatives What you can bring Strong Python skills, including experience with data processing libraries (e.g. Numpy, Pandas). Bonus: RasterIO or other geospatial tooling experience. Experience with AWS and containerised environments (Docker). Familiarity with backend frameworks (FastAPI, Flask, or Django). Experience working with data pipelines More ❯

For Proven experience delivering data migration or integration projects , ideally with ERP/CRM systems such as Microsoft Dynamics . Strong technical skills in Python , including libraries such as Pandas and NumPy . Hands-on experience with ETL design, data warehousing, and relational databases (SQL). Advanced proficiency in SQL and data modelling techniques. Knowledge of cloud data platforms (Azure More ❯

expertise in MLOps implementation for deploying, monitoring, and managing ML models in production environments. Proficiency in Python and experience with ML frameworks and libraries (e.g., TensorFlow, PyTorch, Scikit-learn, Pandas, NumPy Strong understanding of cloud technologies and AI/ML platforms, particularly AWS SageMaker. Solid grasp of software engineering principles including design patterns, testing, CI/CD, security, and version More ❯

grade analytics platforms for sensitive environments. Collaborate across engineering, security, and product teams to deliver at pace and scale. The toolkit you’ll use 🌳 Data Science & Engineering: Python (NumPy, Pandas, scikit-learn, PyTorch/TensorFlow), SQL, NoSQL, Spark, big data ecosystems Visualisation & APIs: REST/JSON, Postman, Flask/FastAPI, Power BI/Tableau, D3.js DevOps & Cloud: CI/CD More ❯

grade analytics platforms for sensitive environments. Collaborate across engineering, security, and product teams to deliver at pace and scale. The toolkit you’ll use 🌳 Data Science & Engineering: Python (NumPy, Pandas, scikit-learn, PyTorch/TensorFlow), SQL, NoSQL, Spark, big data ecosystems Visualisation & APIs: REST/JSON, Postman, Flask/FastAPI, Power BI/Tableau, D3.js DevOps & Cloud: CI/CD More ❯

master’s degree in a STEM subject (Mathematics, Computer Science or Engineering) Experience working in a data science or consulting role In-depth experience of working with Python and Pandas An entrepreneurial spirit and drive to work in an early stage start-up A curious mindset to understand how we can improve things and better help our clients address commercial More ❯

automation-ready using methodologies. Python Development - Strong proficiency in Python programming including object-oriented design, asynchronous programming, error handling, and writing clean, maintainable code. Experience with key libraries including Pandas, NumPy for data manipulation, requests and APIs for integrations, asyncio for concurrent processing, and building robust automation scripts with proper logging, testing (pytest), and documentation. AI & Machine Learning Frameworks - Deep More ❯

automation-ready using methodologies. Python Development - Strong proficiency in Python programming including object-oriented design, asynchronous programming, error handling, and writing clean, maintainable code. Experience with key libraries including Pandas, NumPy for data manipulation, requests and APIs for integrations, asyncio for concurrent processing, and building robust automation scripts with proper logging, testing (pytest), and documentation. AI & Machine Learning Frameworks - Deep More ❯

Load Balancing. • CI/CD & DevOps Integration. • AWS (ECS, fargate , EC2, SNS, SQS, Cloudwatch, EKS, Kubernetes). Desirable skills/knowledge/experience: • Familiarity with data analysis libraries like Pandas, NumPy, and Scikit-learn. • Knowledge of data science and machine learning concepts and tools. Good to have: • Strategic thinking and problem-solving. • Collaboration and teamwork. • Effective communication and stakeholder management. More ❯

Data Scientist, Machine Learning Engineer, ML Engineer, Data Science Engineer, High-Performance Engineering, Python, Data, Pandas, numpy, scikit-learn, pytorch - Oxford - up to 55K About the Role: Join an elite engineering organisation's Software Engineering & Data team, where you'll develop cutting-edge machine learning solutions that directly impact performance at the highest level of competition click apply for full More ❯

have Must be strong in Python Java and/or REXX is helpful but not a must have Data manipulation experience is a big plus - Numpy/PySpark/Pandas are a big plus IAC tools like Terraform and/or CloudFormation would be very beneficial More ❯

and regulatory standards. Monitor and troubleshoot data pipelines, optimizing for performance and cost-efficiency. Experience: Strong hands-on experience with Microsoft Fabric. Proficient in Python for data engineering (eg, Pandas, PySpark, asyncio, automation scripts). Strong SQL skills (T-SQL or similar) for transforming and modeling data. Experience building scalable ETL/ELT pipelines using cloud technologies. Good understanding of More ❯

with a Trading firm who are redefining how data and technology shape the future of the industry. They are looking for a Front Office Software Engineer with excellent Python (pandas) experience to be at the forefront of this evolution. As a Front Office Python Software Engineer, this is an incredible opportunity to work side-by-side with Traders, building high More ❯

with a Trading firm who are redefining how data and technology shape the future of the industry. They are looking for a Front Office Software Engineer with excellent Python (pandas) experience to be at the forefront of this evolution. As a Front Office Python Software Engineer, this is an incredible opportunity to work side-by-side with Traders, building high More ❯

cloud-based solutions. Experience with Cloud services such as Azure Data Services, ADLS and AKS. Experience with Python and PySpark for distributed data processing, along with proficiency in Numpy, Pandas and other data manipulation libraries. Experience in optimizing big data architectures for high availability and performance. Strong problem-solving skills, analytical mindset, and ability to work in fast-paced environments.Experience More ❯

proofs-of-concept , model monitoring , and adoption of emerging AI tech. What We’re Looking For 5+ years in data engineering, with team or project leadership experience. Advanced Python (Pandas, PyTorch, TensorFlow, Scikit-learn). Strong AWS/GCP , MySQL , and CI/CD experience; Docker/Kubernetes a plus. Excellent communication, organisation, and problem-solving skills. Passion for innovation More ❯

position involving the building and maintenance of data pipelines gained within Trading/Investment firm, or a firm providing services to Trading or Investment firms (Essential) Excellent Python skills (Pandas, NumPy), SQL Excellent ETL experience managing the full end-to-end process from Data Ingestion through to Data Publishing If you feel your experience is a match with the above More ❯

position involving the building and maintenance of data pipelines gained within Trading/Investment firm, or a firm providing services to Trading or Investment firms (Essential) Excellent Python skills (Pandas, NumPy), SQL Excellent ETL experience managing the full end-to-end process from Data Ingestion through to Data Publishing If you feel your experience is a match with the above More ❯

fast-paced and data-rich environment. You’ll need: 2–5+ years’ experience in data science or ML (not a graduate role; sports background a plus) Strong Python skills (pandas, numpy, scikit-learn, etc.) Hands-on experience with tree-based algorithms (XGBoost, LightGBM) and other ML methods Solid grasp of statistics, probability, and applied maths Proficiency in SQL , familiarity with More ❯

fast-paced and data-rich environment. You’ll need: 2–5+ years’ experience in data science or ML (not a graduate role; sports background a plus) Strong Python skills (pandas, numpy, scikit-learn, etc.) Hands-on experience with tree-based algorithms (XGBoost, LightGBM) and other ML methods Solid grasp of statistics, probability, and applied maths Proficiency in SQL , familiarity with More ❯

large, complex datasets. Desirable Experience & Skills Practical knowledge of data engineering practices (designing and building robust data pipelines) Knowledge of python and core libraries applicable to data science (e.g., pandas, numpy, statsmodel More ❯

with active SC will be prioritised) Within this role, you will be responsible for: * Cleaning and processing tabular data (Excel, CSV, databases) * Building data transformation pipelines using Python and pandas * Writing SQL queries to extract and manipulate relational data * Implementing data validation and quality assurance processes * Working with JSON, XML, and CSV formats * Supporting metadata cataloging and reference data management More ❯

with active SC will be prioritised) Within this role, you will be responsible for: * Cleaning and processing tabular data (Excel, CSV, databases) * Building data transformation pipelines using Python and pandas * Writing SQL queries to extract and manipulate relational data * Implementing data validation and quality assurance processes * Working with JSON, XML, and CSV formats * Supporting metadata cataloging and reference data management More ❯

with active SC will be prioritised) Within this role, you will be responsible for: Cleaning and processing tabular data (Excel, CSV, databases) Building data transformation pipelines using Python and pandas Writing SQL queries to extract and manipulate relational data Implementing data validation and quality assurance processes Working with JSON, XML, and CSV formats Supporting metadata cataloging and reference data management More ❯

world leading Energy Trading company. The role would be part of a long term Strategic IT project, with ongoing contract extensions. Core Technical Skills Programming: Python Data Handling: NumPy, Pandas, SQL Version Control: Git/GitHub System Integration & Deployment Model Deployment: Flask, FastAPI, MLflow Model Serving: Triton Inference Server, Hugging Face Inference Endpoints API Integration: OpenAI, Anthropic, Cohere, Mistral APIs More ❯