1 to 25 of 43 Remote/Hybrid Permanent Pandas Jobs

technical audiences, advocating for interpretability and audit best practices.Experience working with structured and unstructured datasets.Proficient in Python, leveraging key data science libraries (NumPy, Pandas, scikit-learn) and applying object-oriented programming principles to develop efficient, scalable solutionsHands-on experience experimenting with Generative AI (e.g. LangChain, Hugging Face, LlamaIndex).Experience working ...

data, dashboards and AI-enabled insight confidently and responsibly. What we're looking for Extensive experience using python, especially using libraries such as Pandas, scikit-learn and NumPy. Strong programming skills in SQL or Spark SQL Experience in Natural language processing and working and developing LLMs Full ML model lifecycle ...

/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, S3, Sagemaker ...

secure use of data and AIRequired Skills:Experience in data science, machine learning, or applied analyticsStrong proficiency in Python and common ML libraries (pandas, NumPy, scikit‐learn, TensorFlow, PyTorch)Experience designing, training, and evaluating machine‐learning modelsSolid understanding of statistical methods, predictive modelling, and experimental designExperience working with large ...

terms.QualificationsMinimum Requirements3–5+ years of experience in data science or applied machine learning, preferably in infrastructure, environmental, or urban development sectors.Strong proficiency in Python (pandas, scikit-learn, PyTorch/TensorFlow) and SQL, with experience in geospatial and environmental data analysis.Experience with MLOps tools (MLflow, Docker, CI/CD pipelines ...

terms.QualificationsMinimum Requirements3–5+ years of experience in data science or applied machine learning, preferably in infrastructure, environmental, or urban development sectors.Strong proficiency in Python (pandas, scikit-learn, PyTorch/TensorFlow) and SQL, with experience in geospatial and environmental data analysis.Experience with MLOps tools (MLflow, Docker, CI/CD pipelines ...

Visualization, Deep Learning, Graph Algorithms, Learning Agility, Logistic Regression Model (Inactive), Machine Learning (ML), Machine Learning Algorithms, Nlp (Neuro-Linguistic Programming) And Genai (Inactive), Pandas (Python) (Inactive), Python (Programming Language), R Programming, Stakeholder Engagement, Statistical Analysis, Structured Query Language (SQL), Time Series AnalysisSummaryLocation: London (The Westworks); Home WorkerType: Full time ...

desk technology stack through reusable libraries, APIs, and robust engineering practices.Optimise performance, scalability, and reliability of quantitative applications.Skills required:Python data engineering stack: Pandas/Parquet/FastAPI/Jupyter/Airflow/Streamlit/RayExperience with high-performance data stores and query engines like Trino/SnowflakeExperience with financial ...

Proficient in ML tools and modern ecosystem (PyTorch, MLFlow, FastAPI, SQL Alchemy)Experience retrieving data from structured, unstructured and web sources (Selenium/PlayWright, Pandas, XML etc)Experience in Azure including Azure Fabric, Data Factory and Azure integrated services such as ML Studio, Foundry, Synapse, CosmosAware of advances ...

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 ...

structured, semi-structured, or unstructured data, especially large-scale text or content datasets. Familiarity with common data science and machine learning tools such as Pandas, NumPy, SciPy, Scikit-learn, PyTorch, TensorFlow, or Matplotlib. The ability to translate complex and ambiguous requirements into practical, measurable, data-driven solutions, with strong analytical ...

training of AI/ML solutionsSkills required: • Overall 8+ years of experience.• 5+ Years of strong Python coding skills and python libraries (like NumPy, Pandas etc.)• 3 Years of solid understanding of generative AI models (GANs, VAEs, LLMs) and their underlying principles• Strong experience in using Neo4J, Mongo DB• Experience ...

without:Client stakeholder engagementApplied data science expertiseMachine learning and AI deliveryGenerative AI/LLM experienceStrong Python skills and familiarity with core libraries (pandas, NumPy, scikit‐learn)Deep learning and NLP stacks (PyTorch, HuggingFace Transformers)MLOps and model operationalisationResponsible AI awarenessAdditional Requirements:Security clearance (SC/BPSS)Pre‐sales contribution experienceFamiliarity ...

quality, governance, and accessibility across platformsTranslating complex technical outputs into clear insights for non-technical audiencesWho we’re looking for:Strong Python experience including Pandas, NumPy or similar data analysis librariesAdvanced SQL skills with experience working across relational databasesExperience building data pipelines, working with cloud platforms, and integrating APIsSolid understanding ...

with structured, semi-structured, or unstructured data, especially large-scale text or content datasets.Familiarity with common data science and machine learning tools such as Pandas, NumPy, SciPy, Scikit-learn, PyTorch, TensorFlow, or Matplotlib.The ability to translate complex and ambiguous requirements into practical, measurable, data-driven solutions, with strong analytical thinking ...

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 ...

efficiency.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 engineering skills ...

architectures, plus familiarity with MCP and A2A communication frameworks.Proficiency in Python (or equivalent programming language) and associated common data science libraries (such as NumPy, Pandas, SciPy etc for Python).Proficient in using AI tools and platforms for model development, deployment, and monitoring (such as Github Co-pilot, Databricks, MLFlow ...

problem solver with the autonomy to resolve ambiguous, high-impact challenges and continuously improve data processes and documentation.Bonus: Python for deeper analysis and modelling (pandas/numpy, simple ML); experience tying product usage to commercial outcomes; experience measuring AI/LLM products.Our benefitsWe’re a scaling start ...

Representation and Semantic Modelling, including:Knowledge GraphsSemantic SearchMetadata-Driven ArchitecturesStrong SQL skills, including analytics, joins, and window functions.Experience with Python frameworks such as FastAPI, pandas, and related technologies.Experience working with enterprise data platforms such as Snowflake.Strong analytical thinking and structured problem-solving capabilities.Ability to translate business requirements into scalable technical ...

roles, not just in theory We're looking for: Strong hands-on AI/ML and Data Science expertise (Python essential — NumPy, Pandas, Scikit-learn; exposure to PyTorch, TensorFlow, LangGraph or similar a plus) Proven experience delivering technical training to a mix of technical and non-technical audiences, virtually ...

programming concepts, automated testing, CI/CD pipelines and production deployments.Strong Python development experience in a commercial machine learning environment, including libraries such as Pandas, Scikit-Learn and XGBoost.Experience working with cloud-based machine learning and data platforms, including technologies such as Vertex AI, BigQuery, Cloud Run or equivalent cloud ...

programming concepts, automated testing, CI/CD pipelines and production deployments.Strong Python development experience in a commercial machine learning environment, including libraries such as Pandas, Scikit-Learn and XGBoost.Experience working with cloud-based machine learning and data platforms, including technologies such as Vertex AI, BigQuery, Cloud Run or equivalent cloud ...

exploratory 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 ...