16 to 40 of 185 Pandas Jobs

managers, and async/await patterns - Data structures and algorithms for efficient data processing and model optimization - Error handling and debugging using try-catch blocks, logging, and debugging tools - Pandas and NumPy for data manipulation, cleaning, and numerical operations - SQLAlchemy or psycopg2 for database connectivity and ORM operations - Boto3 for AWS service integration and automation - Lambda function development with proper More ❯

managers, and async/await patterns - Data structures and algorithms for efficient data processing and model optimization - Error handling and debugging using try-catch blocks, logging, and debugging tools - Pandas and NumPy for data manipulation, cleaning, and numerical operations - SQLAlchemy or psycopg2 for database connectivity and ORM operations - Boto3 for AWS service integration and automation - Lambda function development with proper More ❯

managers, and async/await patterns - Data structures and algorithms for efficient data processing and model optimization - Error handling and debugging using try-catch blocks, logging, and debugging tools - Pandas and NumPy for data manipulation, cleaning, and numerical operations - SQLAlchemy or psycopg2 for database connectivity and ORM operations - Boto3 for AWS service integration and automation - Lambda function development with proper More ❯

async/await patterns Data structures and algorithms for efficient data processing and model optimization Error handling and debugging using try-catch blocks, logging, and debugging tools Data Processing Pandas and NumPy for data manipulation, cleaning, and numerical operations SQLAlchemy or psycopg2 for database connectivity and ORM operations Boto3 for AWS service integration and automation AWS (working within Technical Lead More ❯

typically associated with the Software Development Lifecycle. What you'll bring to the role and MHR Advanced Python experience e.g. Poetry, FastAPI, LlamaIndex, OpenAI, Pydantic, Dependency Injector, Jupyter Notebooks, Pandas, NumPy, Scikit-learn, SciPy, Plotly Experience with Azure AI Studio Vector Database, e.g. Qdrant,ChromaDB Databricks LLMs Prompt Engineering for LLMs Experience of testing and deployment of data science models More ❯

systems Background of working in hedge fund or alternative investment environment, working directly with investment team on tech delivery Strong understanding of Python, with libraries/frameworks such as Pandas, NumPy, and PySpark Strong understanding of distributed computing, with experience using frameworks like Databricks Strong experience with Azure or other cloud platforms (AWS) Strong experience building data pipelines or ETL More ❯

science solutions, defining minimum viable products (MVPs) and iterating based on user needs Person specification We're interested in people who have: python expertise : strong experience with core libraries (pandas, numpy, scikit-learn) and writing clear, modular, reusable code with error handling and logging data visualisation : ability to build interactive dashboards and reports using tools such as Plotly, Dash, Matplotlib More ❯

science solutions, defining minimum viable products (MVPs) and iterating based on user needs Person specification We're interested in people who have: python expertise : strong experience with core libraries (pandas, numpy, scikit-learn) and writing clear, modular, reusable code with error handling and logging data visualisation : ability to build interactive dashboards and reports using tools such as Plotly, Dash, Matplotlib More ❯

science solutions, defining minimum viable products (MVPs) and iterating based on user needs Person specification We're interested in people who have: python expertise : strong experience with core libraries (pandas, numpy, scikit-learn) and writing clear, modular, reusable code with error handling and logging data visualisation : ability to build interactive dashboards and reports using tools such as Plotly, Dash, Matplotlib More ❯

etc. as well as hands on experience on AWS services like SageMaker and Bedrock, and programming skills such as Python, R, SQL, Java, Julia, Scala, Spark/Numpy/Pandas/scikit, JavaScript Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the More ❯

frameworks like Hugging Face Transformers , PyTorch , YOLO , OpenCV , and Pillow Designing and deploying AI services via FastAPI , AWS Lambda , EKS/ECS , and S3 Creating scalable data pipelines with Pandas , NumPy , SQLAlchemy , and Airflow Supporting real-time model inference, edge deployments, and API integrations Working closely with a technical lead in a service-based and serverless architecture Essential Python Engineer More ❯

workstreams to elevate team capability. Essential Skills & Experience Proven experience in analytics engineering , data engineering , or model development roles. Advanced proficiency in Python (including libraries such as NumPy and Pandas) and SQL . Demonstrated ability to deliver production-ready solutions in a commercial environment. Strong communication skills with the ability to engage stakeholders and translate technical work into business outcomes. More ❯

workstreams to elevate team capability. Essential Skills & Experience Proven experience in analytics engineering , data engineering , or model development roles. Advanced proficiency in Python (including libraries such as NumPy and Pandas) and SQL . Demonstrated ability to deliver production-ready solutions in a commercial environment. Strong communication skills with the ability to engage stakeholders and translate technical work into business outcomes. More ❯

driven solutions within the asset management, investments, or reinsurance domain. Work with cross-functional teams to capture requirements and deliver effective outcomes. Must-Have Skills & Experience Strong Python skills (Pandas, NumPy). Advanced SQL for data querying and manipulation. Hands-on experience with Google Cloud Platform (GCP) and BigQuery. Background in asset management, investments, or reinsurance operations (within the last More ❯

engineering, ideally in front office finance , fintech , high-frequency trading , or technology-driven startups Expert-level Python skills - designing, debugging, and optimizing complex applications Very strong data capabilities with Pandas , NumPy , SQL , real-time data processing, and ETL Familiarity with DevOps practices including Linux , cloud platforms , CI/CD , and containerization (Docker/Kubernetes desirable) Proven ability as a live More ❯

sorting, data filtering, pivot tables, vlookup, SUMIF/SUMIFS, charts. BI tools. Desirable PowerBI A/B testing. Split principles, test planning, logging. Desirable hard skills Python. Data analysis, pandas, numpy, scipy, statsmodels, seaborn, matplotlib etc. ETL processes. Airflow, Pentaho etc. IT understanding. Client-server processes. API. Back-end and front-end. Parsing. Algorithms and data structures. Management. Sprints, AGILE. More ❯

sorting, data filtering, pivot tables, vlookup, SUMIF/SUMIFS, charts. BI tools. Desirable PowerBI A/B testing. Split principles, test planning, logging. Desirable hard skills Python. Data analysis, pandas, numpy, scipy, statsmodels, seaborn, matplotlib etc. ETL processes. Airflow, Pentaho etc. IT understanding. Client-server processes. API. Back-end and front-end. Parsing. Algorithms and data structures. Management. Sprints, AGILE. More ❯

PyTorch, ONNX, NLTK, OpenAI, langchain, llama-index,kore.ai. DL Architectures: LLM, ANN, CNN, R-CNN, RNN, GRU, LSTM, Transformers, Attention Mechanism, Tokenisers. BERT, T5, Sentence Transformers, Foundational models. Packages: Pandas, NumPy, Spark, Matplotlib, SciPy. Cloud Technologies: AWS (EC2, S3, RDS, ECS, Lambda), Azure(VM, Functions, ACR, AKS), Digital Ocean, GCP, Paperspace. Database: MySQL, PostgreSQL, MongoDB, ChromaDB, Pinecone, SQLite. Web Frameworks More ❯

Science, Engineering, Mathematics, Statistics, or a related field. 6+ years of experience in ML Engineering or Data Science (finance, fintech, or treasury a plus). Proficiency in Python-including pandas, scikit learn, TensorFlow/PyTorch, LightGBM/XGBoost-and experience with SQL. Hands on experience with cloud ML platforms (AWS SageMaker, Azure ML, or Google AI Platform). Solid understanding More ❯

data cycle. - Proven Experience working with AWS data technologies (S3, Redshift, Glue, Lambda, Lake formation, Cloud Formation), GitHub, CI/CD - Coding experience in Apache Spark, Iceberg or Python (Pandas) - Experience in change and release management. - Experience in Database Warehouse design and data modelling - Experience managing Data Migration projects. - Cloud data platform development and deployment. - Experience of performance tuning in More ❯

entire data lifecycle, from ingestion to visualisation and presentation. Tool Building: Passion for creating robust and usable tools to enhance team efficiency. Data Analysis Skills: Proficiency in SQL, python, pandas/numpy, Databricks/Jupyter Notebooks, and experience with large datasets in production environments. Curiosity and Drive: Self-motivated with a strong desire to learn and improve without lots of More ❯

Monitoring & Alerting: Prometheus, Datadog, Pagerduty Telemetry Standards: OpenTelemetry Application & Data Ecosystem (Supporting): Application Languages/Frameworks: Python, FastAPI, Flask, Node.js, React Data Streaming: Apache Kafka Data Processing/Transformation: Pandas, DBT Workflow Orchestration: Apache Airflow, Ray Machine Learning Stack: Serving: Triton Inference Server MLOps/Experiment Tracking: Weights and Biases, DVC Libraries/Frameworks: Transformers, HuggingFace Model Optimization/Formats More ❯

Job Title: AI/ML Developer Key Responsibilities: Develop and deploy machine learning models for real-world use cases Clean and analyze data using tools like Pandas and NumPy Build and train models with TensorFlow, PyTorch, or Scikit-learn Create scalable ML pipelines in AWS, GCP, or Azure Collaborate cross-functionally to integrate models into production Research and prototype cutting More ❯

engineers and contribute to best practices across the team. Key skills: Strong experience with AWS data services (S3, Redshift, Glue, Lambda, Lake Formation, CloudFormation). Proficiency in SQL, Python (Pandas), Spark or Iceberg. Experience with data warehouse design, ETL/ELT, and CI/CD pipelines (GitHub, CodeBuild). Knowledge of infrastructure as code, performance tuning, and data migration. Exposure More ❯

Services - Mandatory Good understanding of quantitative finance Good experience developing and optimising Python-based calculators and models. Strong experience developing high-performance APIs using Flask or FastAPI. Expertise in Pandas, NumPy and other computing libraries. Strong experience liaising with front-office stakeholders What you'll get in return Initial 6-month contract with extensions Up to £700pd umbrella London-based More ❯