76 to 100 of 259 Remote Pandas Jobs

for trading high-yield and investment-grade corporate bonds.The ideal candidate will have hands-on experience with engineering complex systems and pipelines, as well as experience with Python/Pandas/Polars, SQL, AWS, Portfolio Construction/Optimization, Trading and Trading Systems, and Simulation. Prior experience with systematic investment management, corporate bonds and other credit instruments is preferred but not More ❯

data, including knowledge of forecasting, A/B testing, entity extraction, and feature engineering. Proficiency in programming languages such as Python, R, and SQL, and data analysis libraries (e.g., Pandas, NumPy, SciPy, Tidyverse). Strong knowledge of machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, scikit-learn, NLTK). Experience with NLP techniques, such as named entity recognition (NER), topic More ❯

Understanding of data preparation and processing techniques such as data cleaning, normalization, data imputation, feature engineering, and data transformation, as well as experience with tools and technologies such as Pandas, NumPy, and SciPy. Machine Learning: Knowledge of and experience in working with Machine Learning algorithms such as topic models and other natural language processing methods in production and working collaboratively More ❯

to join a data-driven technical risk management team in designing, developing and deploying quantitative risk models to manage our risk. Our tech stack is comprised of Python (incl. Pandas, NumPy & Matplotlib), SQL, MongoDB, GitLab and increasingly GCP. As a team of Risk Analysts & Risk Managers, we are looking for someone who can own the DevOps side of the model More ❯

analytics, reporting, and data science applications in Looker/Metabase(Visualisation solutions) using (explores, views, etc) which will enable users across the organization to self-serve analytics. Strong Python (Pandas/SQL Alchemy) & SQL(BigQuery/Snowflake) skills for maintaining ETL/ELT pipelines. Developing tools and processes to ensure the quality and observability of data Monitoring and improving the More ❯

offs and varied opinions. Experience in a range of tools sets comparable with our own: Database technologies: SQL, Redshift, Postgres, DBT, Dask, airflow etc. AI Feature Development: LangChain, LangSmith, pandas, numpy, sci kit learn, scipy, hugging face, etc. Data visualization tools such as plotly, seaborn, streamlit etc You are Able to chart a path on a long term journey through More ❯

offs and varied opinions. Experience in a range of tools sets comparable with our own: Database technologies: SQL, Redshift, Postgres, DBT, Dask, airflow etc. AI Feature Development: LangChain, LangSmith, pandas, numpy, sci kit learn, scipy, hugging face, etc. Data visualization tools such as plotly, seaborn, streamlit etc You are Able to chart a path on a long term journey through More ❯

Locus Robotics is a global leader in warehouse automation, delivering unmatched flexibility and unlimited throughput, and actionable intelligence to optimize operations. Powered by LocusONE, an AI-driven platform, our advanced autonomous mobile robots seamlessly integrate into existing warehouse environments to More ❯

to define inputs and targets Work with structured web analytics and revenue data in a cloud environment Ensure models are robust, explainable, and production-ready Tech Environment Python (NumPy, Pandas, scikit-learn) SQL GCP (BigQuery, Cloud Functions) Deployment: Docker, Kubernetes, Airflow Git, CI/CD pipelines Tableau (optional) Requirements Proven expertise in time series forecasting at multiple granularities Strong Python … work independently and manage delivery from end to end Strong communication skills for cross-team collaboration Desired Skills and Experience time series forecasting, temporal modelling, Python, SQL, scikit-learn, Pandas, NumPy, Prophet, GCP, cloud deployment, productionising models, data pipelines, model validation, stakeholder collaboration, media data More ❯

to define inputs and targets Work with structured web analytics and revenue data in a cloud environment Ensure models are robust, explainable, and production-ready Tech Environment Python (NumPy, Pandas, scikit-learn) SQL GCP (BigQuery, Cloud Functions) Deployment: Docker, Kubernetes, Airflow Git, CI/CD pipelines Tableau (optional) Requirements Proven expertise in time series forecasting at multiple granularities Strong Python … work independently and manage delivery from end to end Strong communication skills for cross-team collaboration Desired Skills and Experience Time series forecasting, temporal modelling, Python, SQL, scikit-learn, Pandas, NumPy, Prophet, GCP, cloud deployment, productionising models, data pipelines, model validation, stakeholder collaboration, media data #J-18808-Ljbffr More ❯

Machine Learning Engineer - SaaS - London (Tech stack: Machine Learning Engineer, Python, TensorFlow, PyTorch, scikit-learn, Keras, Natural Language Processing (NLP), Hugging Face Transformers, Pandas, NumPy, Jupyter Notebooks, Matplotlib, Seaborn, Flask (for building APIs), FastAPI, Docker, MLflow, DVC (Data Version Control), AWS SageMaker, Azure Machine Learning, Google Cloud AI Platform, TensorFlow Serving, ONNX (Open Neural Network Exchange) We have several exciting … full training will be provided to fill any gaps in your skill set): Machine Learning Engineer, Python, TensorFlow, PyTorch, scikit-learn, Keras, Natural Language Processing (NLP), Hugging Face Transformers, Pandas, NumPy, Jupyter Notebooks, Matplotlib, Seaborn, Flask (for building APIs), FastAPI, Docker, MLflow, DVC (Data Version Control), AWS SageMaker, Azure Machine Learning, Google Cloud AI Platform, TensorFlow Serving, ONNX (Open Neural More ❯

to define inputs and targets Work with structured web analytics and revenue data in a cloud environment Ensure models are robust, explainable, and production-ready Tech Environment Python (NumPy, Pandas, scikit-learn) SQL GCP (BigQuery, Cloud Functions) Deployment: Docker, Kubernetes, Airflow Git, CI/CD pipelines Tableau (optional) Requirements Proven expertise in time series forecasting at multiple granularities Strong Python … work independently and manage delivery from end to end Strong communication skills for cross-team collaboration Desired Skills and Experience time series forecasting, temporal modelling, Python, SQL, scikit-learn, Pandas, NumPy, Prophet, GCP, cloud deployment, productionising models, data pipelines, model validation, stakeholder collaboration, media data Seniority level Seniority level Entry level Employment type Employment type Contract Job function Job function More ❯

data professionals Key Experience Extensive background in data engineering roles, ideally within financial services Previous experience leading or managing a technical data team Strong proficiency in SQL and Python (Pandas, NumPy, etc.) Experience with Azure and data architecture, including technologies like Databricks and SQL Server Expertise in SSIS, SSRS, and SSAS This is an excellent opportunity to lead a data More ❯

Integer Programming (MILP, MIQP, MIQCP). Proficient with Gurobi Optimizer (or equivalent like CPLEX, CBC). Understanding of electricity system balancing, dispatch processes, and control systems. Python ecosystem (NumPy, Pandas, SciPy, Pyomo, etc.) Gurobi Optimizer (for LP, QP, MILP, etc.) Contract Details: Duration: 6 months (View for Extension) Day Rate: Up to GBP500 per day (Inside IR35) Location: Hybrid 3x More ❯

Familiarity with data pipeline orchestration and a strong grasp of DevSecOps best practices in cloud-native environments • Hands-on experience with key tools and frameworks, including: o Python, NumPy, Pandas, scikit-learn o TensorFlow or PyTorch o Elasticsearch, Logstash, Kibana Education Requirement • Shall have at a minimum, a bachelor's degree in computer science, Information Technology Management or Engineering. More ❯

contribute to a range of projects, work closely with Data Scientists, and even engage with clients! Requirements: 5+ years of experience in Data Engineering Strong working knowledge of Python, Pandas, NumPy, and ETL pipelines Extensive AWS experience (preferably Lambda & Step Functions) Beneficial: Interest or experience in financial markets Experience in a client-facing role Experience with high levels of automation More ❯

Collaborating cross-functionally with engineering, product, and commercial teams What we’re looking for: 2+ years' experience in data analysis or data science (financial data preferred) Proficient in Python (Pandas, NumPy, Matplotlib, etc.) Experience with APIs (REST/WebSocket) and time series datasets Strong communicator, comfortable translating complex data for non-technical stakeholders Self-starter, curious mindset, and thrives in More ❯

Collaborating cross-functionally with engineering, product, and commercial teams What we’re looking for: 2+ years' experience in data analysis or data science (financial data preferred) Proficient in Python (Pandas, NumPy, Matplotlib, etc.) Experience with APIs (REST/WebSocket) and time series datasets Strong communicator, comfortable translating complex data for non-technical stakeholders Self-starter, curious mindset, and thrives in More ❯

reports Collaborating cross-functionally with engineering, product, and commercial teams What we’re looking for: 2+ years' experience in data analysis or data science (financial data) Proficient in Python (Pandas, NumPy, Matplotlib, etc.) Experience with APIs (REST/WebSocket) and time series datasets Strong communicator, comfortable translating complex data for non-technical stakeholders Self-starter, curious mindset, and thrives in More ❯

WebSockets. Background in AI/ML or data-intensive systems. Cloud/architecture certifications (e.g., AWS/Azure Architect, TOGAF). Desirable Skills: Familiarity with data analysis libraries like Pandas, NumPy, and Scikit-learn. Knowledge of data science and machine learning concepts and tools. If you have the relevant skills and experience, please apply promptly and we will be in More ❯

WebSockets. Background in AI/ML or data-intensive systems. Cloud/architecture certifications (e.g., AWS/Azure Architect, TOGAF). Desirable Skills: Familiarity with data analysis libraries like Pandas, NumPy, and Scikit-learn. Knowledge of data science and machine learning concepts and tools. If you have the relevant skills and experience, please apply promptly and we will be in More ❯

define targets Managing delivery independently within a scoped project timeline KEY SKILLS AND REQUIREMENTS 5+ years' experience delivering commercial time series forecasting projects Strong programming ability in Python (NumPy, Pandas, scikit-learn) Solid SQL skills and experience working with large datasets Experience deploying models into production environments (GCP preferred) Strong communication skills and stakeholder collaboration experience Ability to manage the More ❯

join our data function at a key stage of our growth. We are looking for someone who: Can demonstrate a strong technical data skillset in regard to Python, Spark, Pandas, SQL, NoSQL. Has strong experience working with modern database platforms such as Cosmos, Athena, and MySQL. Is comfortable with both NoSQL and relational database design. Able to use Airflow to More ❯

would like to see from you Experience with Python Interest in backend development Understanding of distributed systems (RabbitMQ, Celery, Redis, Memcached) Knowledge of scientific libraries such as Numpy and Pandas Experience with MongoDB, BigQuery, and data visualization tools Experience with designing, training, and evaluating machine learning models Familiarity with AI frameworks (Pytorch, TensorFlow, scikit-learn) Understanding of Test Driven Development More ❯

to an agile, product-focused delivery team solving real-world trading challenges ? What We’re Looking For 8+ years of professional experience in Python application development Solid knowledge of Pandas, PySpark, and modern testing (PyTest) Strong background in Azure cloud services (Databricks, ADF, Key Vaults, etc.) Familiarity with DevOps, CI/CD pipelines, and Agile best practices Understanding of APIs More ❯