1 to 25 of 31 Remote/Hybrid NumPy Jobs

value What We’re Looking For Essential experience Significant experience building, training and deploying machine learning models Strong Python skills with experience using NumPy, Pandas, SciPy and modern ML frameworks such as PyTorch or TensorFlow Experience working with large-scale unstructured data Experience building and deploying production-ready NLP systems ...

delivery with measurable impact Experience taking models into production and managing performance over time Prior experience leading or mentoring Data Scientists Strong Python (pandas, numpy, scikit-learn or similar) Strong SQL (complex joins, aggregations, analytical functions) Solid grounding in applied statistics, evaluation design, calibration, bias/fairness Experience working closely ...

delivery with measurable impact Experience taking models into production and managing performance over time Prior experience leading or mentoring Data Scientists Strong Python (pandas, numpy, scikit-learn or similar) Strong SQL (complex joins, aggregations, analytical functions) Solid grounding in applied statistics, evaluation design, calibration, bias/fairness Experience working closely ...

vacancy only. KEY SKILLS AI, Python, Machine Learning, Software Engineering, Data, APIs, Cloud, Agile, Python, TensorFlow, PyTorch, Scikit-learn, XGBoost, NLTK, OpenAI, LangChain, Pandas, NumPy, MLflow, Kubeflow, Docker, Kubernetes, Azure Machine Learning, Google Vertex ...

/AI solutions into production environments Strong Python expertise and experience with modern AI/ML frameworks such as: PyTorch TensorFlow scikit-learn NumPy Pandas Hands-on experience with Generative AI, agentic AI systems, and AI testing frameworks Strong communication skills and a passion for clear documentation and knowledge sharing ...

entity resolution. GenAI: Experience with LLM APIs and Context Engineering (constructing prompts, managing context windows, evaluating behaviour). Engineering & Stack: Python: Expert level (Pandas, NumPy, Scikit-Learn). Data Engineering: Strong SQL skills and experience building data pipelines. Experience: Education: Degree in a quantitative field (Statistics, Mathematics, Computer Science, etc. ...

Learning . Strong programming experience in Python . Experience with TensorFlow, PyTorch, or Scikit-learn . Knowledge of data processing tools such as Pandas, NumPy . Experience with NLP, Computer Vision, or Predictive Analytics . Understanding of cloud platforms like AWS, Azure, or Google Cloud . Preferred Qualifications Degree ...

Essential) 🎰 1–5 years’ Data Science/Analytics experience within gambling or iGaming Experience working with sportsbook, casino, or betting datasets 🐍 Strong Python (Pandas, NumPy, Scikit-learn) 🗄️ Advanced SQL and large dataset querying 📊 Statistical modelling & machine learning Player behaviour or betting analytics exposure 💬 Strong stakeholder communication skills ⭐ Desirable Skills Odds ...

welcome applications from women who are passionate about machine learning and eager to grow: Strong Python skills and experience with ML libraries (pandas, NumPy, scikit-learn, XGBoost, LightGBM, CatBoost, TensorFlow, Keras, PyTorch). Familiarity with model deployment and serving tools (ONNX, TensorRT, TensorFlow Serving, TorchServe). Experience with ML lifecycle ...

Python Degree in Mathematics, Physics, or a related quantitative field Solid understanding of algorithms, numerical methods, and data structures Experience with libraries such as NumPy, SciPy, Pandas, or similar Familiarity with Git and collaborative development workflows Ability to work independently in a remote environment Nice to Have Experience with scientific ...

experience in data analysis or data science (graduate roles, internships, placements, or academic projects welcome) 🐍 Strong Python experience for data analysis and modelling (pandas, NumPy, scikit-learn or similar) 🗄 Solid experience working with SQL and structured datasets ☁️ Hands-on experience using AWS (e.g. S3, RDS, Athena, Glue, or similar ...

team knowledge sharing. Ideal Background Strong analytical mindset and passion for deriving actionable insights from complex data. Proficient in Python or R (pandas, NumPy, scikit-learn, TensorFlow or equivalent) and SQL. Experience as a data scientist on client-facing software solutions, ideally in optimisation or energy-focused domains. Solid foundation ...

improvement. Technical Experience Were looking for experience in many of the following areas: Strong Python skills and familiarity with ML libraries such as Pandas, NumPy, and scikit-learn. Experience with frameworks such as TensorFlow, Keras, or PyTorch. Exposure to gradient boosting tools such as XGBoost, LightGBM, or CatBoost. Experience with ...

Master’s degree in STEM, Computer Science, Mathematics, Statistics , or a related quantitative field. Scientific Python Ecosystem: Proficiency in Python for data science (pandas, numpy, scipy) and machine learning (sklearn, XGBoost, CatBoost, PyTorch). Data Engineering: Strong experience in SQL and data engineering principles (ETL/ELT), with the ability ...

Python Developer for a major pharmaceutical company, outside IR35. The key skills required for this Python Developer role are: Python AWS Data science (numpy, pandas, scipy.stats and .spatial) Visualization (dash or seaborn) If you do have the relevant experience for this Python Developer role, please do apply. ...

developers where appropriate Required Skills Strong Python development experience Experience working with GIS data pipelines Experience with geospatial libraries such as Fiona, Shapely, Rasterio, Numpy Experience working with GDAL and spatial data processing Strong understanding of vector and raster data Experience working with PostgreSQL/SQL databases Knowledge of cloud ...

Excellent communication skills – written and verbal Proficient in Python Programming Experience working with virtual environments (pip, venv) Data Manipulation and Analysis skills (Pandas and NumPy) Plotly dash experience would be a plus. Desirable Experience & Skills: Knowledge of European energy markets (e.g., low-carbon, oil, gas, LNG, or power). Understanding ...

technical discussions, code reviews, and agile delivery Required Skills & Experience Essential 36+ years commercial experience in Applied ML or Data Science Strong Python (pandas, numpy, sklearn or similar) Strong SQL Experience building and iterating on predictive models Conditional (must meet at least 2 of the below) Time-series modelling 2+ ...

3+ years of industry experience as a Data Scientist , plus a strong academic foundation Python Data Science Stack : Advanced proficiency in Python , including Pandas, NumPy and scikit-learn. Statistical & Machine Learning Modelling : Experience with a variety of ML techniques ( regression, classification, clustering, time-series forecasting ) Experience with deep learning frameworks ...

engagement Applied data science expertise Machine learning and AI delivery Generative AI/LLM experience Strong Python skills and familiarity with core libraries (pandas, NumPy, scikit‐learn) Deep learning and NLP stacks (PyTorch, HuggingFace Transformers) MLOps and model operationalization Responsible AI awareness Additional Requirements: Security clearance (SC/BPSS ...

/placements welcome in addition) Strong SQL skills and confidence working with relational data and large datasets Strong Python for analysis/automation (pandas, NumPy; good coding hygiene) Essential: Dashboarding experience in Power BI, Tableau, or Looker (building and maintaining stakeholder-facing dashboards) Solid understanding of analytics fundamentals: data cleaning ...

scratch in a commercial environment Strong commercial experience in Marketing Mix Modelling (MMM) Advanced Python skills for data manipulation, modelling, and analysis (e.g., pandas, NumPy, scikit-learn) Strong understanding of branding, brand positioning, and marketing strategy Ability to interpret brand language and translate it into measurable analytical frameworks Demonstrated customer ...

into simple, actionable insights What We’re Looking For 🚀 Graduates up to 3 years’ experience in data science or analytics 🐍 Strong Python skills (pandas, numpy, scikit-learn) 🗄️ Solid SQL for data extraction and manipulation 📊 Experience with Tableau or Power BI is a bonus 🧠 Strong problem-solving and analytical thinking 🎤 Clear ...

experience. You must have "under-the-hood" knowledge of Python, specifically for building high-throughput microservices and complex data pipelines using FastAPI, Pandas, and NumPy . The RAG & Agentic Expert: This is the "Critical" requirement. Our client needs someone with deep hands-on experience building Retrieval-Augmented Generation (RAG) pipelines ...

Skills: Must-have: Strong experience working with Azure-based and MS environments SQL and relational database management Python for data analysis (e.g. Pandas, NumPy, Matplotlib) Data visualisation using Power BI or Tableau ideal Familiarity with Agile delivery methodologies Microsoft Fabric Power Apps, Power Automate, Dataverse Apache Spark/PySpark ...