1 to 25 of 27 Remote/Hybrid Permanent Pandas Jobs

Azure) and modern MLOps tooling (e.g. MLflow, Weights & Biases, DVC, Airflow) Strong experience with Python and associated scientific software packages such as PyTorch, OpenCV, Pandas, SciPy, NumPy, SciKit-learn, etc. Strong software engineering practices including version control, code review, software testing methodologies, and continuous integration; experience with ...

implementing data science processes. Experience in translating customer requirements into technical requirements and development objectives. Python expertise covering standard data science libraries (NumPy, pandas, matplotlib, Scikit-learn, PyTorch, etc...), web frameworks (Flask or FastAPI) and visualisation (Dash, Plotly, & Streamlit). Proficient in SQL. Working with unstructured data Building customer ...

production‐grade backend systems at scale. Core Technical Skills Strong proficiency in Python as a primary backend language. Hands‐on experience with FastAPI and Pandas for building data‐driven API services. Solid experience with PostgreSQL – schema design, query optimization, and migrations. Experience with RabbitMQ or similar message brokers for asynchronous ...

between technical developers and business teams, showcasing strong leadership, creativity, and ethical problem‐solving Technical Expertise & Tools Python: Advanced, production‐grade proficiency (Pandas, NumPy, FastAPI/Flask) with an absolute focus on writing clean, modular, and highly testable code SQL: Expert querying, database design, partitioning, and optimization strategies for large ...

stress-testing, simulation analysis, rare event modeling, and stochastic modeling preferred but not required. Substantial experience with Python, R, and relevant libraries (e.g., numpy, pandas, scikit, pytorch, tidyverse, caret, ggplot, etc.). Proven experience developing, refining, and monitoring NLP models. Familiarity with database management tools and techniques (e.g., SQL, Selenium ...

decision support Hands-on experience with healthcare-specific ML challenges (imbalanced datasets, missing data, temporal dependencies) Technical Stack & MLOps Proficiency in Python (scikit-learn, pandas, PyTorch/TensorFlow) and SQL for large-scale data analysis Experience with modern data platforms (Snowflake, Databricks, or similar cloud data warehouses) Demonstrated MLOps capabilities ...

Experience in managing data and implementing data science processes. Experience in translating customer requirements intotechnical requirements and development objectives. Pythonexpertisecovering standard data sciencelibraries (NumPy, pandas, matplotlib, Scikit-learn,PyTorch, etc),web frameworks (Flask or FastAPI) and visualisation(Dash,Plotly,&Streamlit). Proficient inSQL. Working with unstructured data Building customer ...

Experience in managing data and implementing data science processes. Experience in translating customer requirements intotechnical requirements and development objectives. Pythonexpertisecovering standard data sciencelibraries (NumPy, pandas, matplotlib, Scikit-learn,PyTorch, etc),web frameworks (Flask or FastAPI) and visualisation(Dash,Plotly,&Streamlit). Proficient inSQL. Working with unstructured data Building customer ...

improvement of data science practices tooling governance Essential Skills for the Data Scientist: Strong experience in data science using Python with libraries such as Pandas NumPy scikit-learn or similar Solid grounding in statistics probability machine learning techniques Proven experience working within cloud environments such as AWS Azure ...

Financial services, capital markets or FinTech. Additional AWS services such as SQS, SNS, Step Functions, EventBridge or Secrets Manager. Big data technologies including DuckDB, pandas, Spark, Databricks or Snowflake. AI/ML technologies including vector databases, semantic search or LLM orchestration frameworks. Continuous delivery and modern development workflows. Data science ...

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 ...

bachelor’s degree level or equivalent qualification/relevant work experience Excellent programming skills, predominantly across the Python/Anaconda suite (Scikit-learn, Pandas, Numpy) Understanding financial markets, risk (for example, Know Your Client (KYC), anomaly detection/Machine Learning, project management Excellent interpersonal skills with the ability to collaborate ...

computing frameworks such as Ray and managing GPU workloads across multiple nodes. Knowledge of platforms and tools such as PyTorch, SciPy, scikit-learn, NumPy, pandas, MLflow, Docker, Kubernetes, and cloud infrastructure. Understanding of industrial systems, including heating, cooling, manufacturing, or data center environments. Scientific or technical background that enables effective ...

What we’re looking for: Proficiency in Python (and at least one other language a plus). Experience with key libraries such as PyTorch, Pandas, Hugging Face Transformers, or similar AI toolkits. Working knowledge of common models, and their use cases and experience applying them to solve specific problems. Solid ...

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). Strong management and leadership skills – previous experience managing a team. Strong ...

data analysis and model prototyping to production deployment, integration, and ongoing monitoring. You are proficient in Python and its data/ML ecosystem (e.g. pandas, scikit-learn, PyTorch, TensorFlow), and you can apply statistical and machine learning techniques confidently in real-world settings. You have deployed models into live systems ...

infrastructure-as-code and CI/CD practices. Data Engineering & Scripting *Scripting and data manipulation skills using Python. (Nice to have) *Proficient with Pandas for handling and transforming complex datasets. (nice to have) *Hands-on experience with Apache Airflow for data orchestration and pipeline scheduling. Experience of mentoring junior developers. ...

databases. Experience with vector databases such as Qdrant, Milvus or pgvector . Familiarity with technologies such as Apache Spark, Airflow, Kafka, Elasticsearch/OpenSearch, Pandas and Polars . Strong understanding of data modelling, storage architecture and performance optimisation. Desirable Experience working on AI or Machine Learning platforms. Knowledge of cloud ...

background in a STEM discipline Proven experience delivering data science, machine learning or AI solutions in a commercial environment Strong programming capability in Python (Pandas, NumPy, SciPy or similar) Solid grounding in statistics, probability and data analysis AI & LLM Experience Hands-on experience with large language models, including: RAG pipelines ...

position or a quantitative academic field. You demonstrate strong programming skills, with the ability to be a fluent Python programmer, using core libraries (NumPy, Pandas) and a deep‐learning framework (e.g., PyTorch). You have a deep expertise in core data science paradigms (supervised/unsupervised, NLP, validation), demonstrating proficiency ...

have experience with Databricks, ideally also Azure You have experience of working with technologies such as SQL, Apache Spark and Python including PySpark and Pandas You're excited to join a start-up in a role that you can shape and influence You're collaborative with excellent communication skills What ...

Python skills and can also read and understand C++ code (will also consider Java experience) You have experience with Python data libraries e.g. NumPy, Pandas You have experience of working on MFT (Mid-Frequency Trading systems) You have strong analysis and problem solving abilities You're collaborative with great communication ...

with common machine learning and model acceleration frameworks (e.g. PyTorch, ONNX, ONNX Runtime)* Experienced with Python data and matrix manipulation libraries (e.g. numpy and pandas),* Knowledgeable about Python memory management and optimising GPU usage (beneficial but not essential),* Experienced with Rust, specifically the ort crate (beneficial but not essential)* Interested ...

compliance/Financial Services/regulated environment preferred Highly motivated to learn about Fundment’s products Technical Expertise: Python: FastAPI, Pydantic, SQLAlchemy, PyTest, Pandas, Numpy Cloud: Experience supporting production systems Security & Compliance: Familiar with secure coding and regulated environments Values Collaborative – Deliver as a team, communicate clearly, and prioritise collective ...

modelling or environmental data analysis. Excellent analytical skills with the ability to interpret complex real-world datasets. Strong Python skills for scientific analysis (NumPy, Pandas, SciPy or similar). Experience communicating technical findings to both technical and non-technical audiences. Ability to work collaboratively across software, engineering and scientific teams. ...