21 of 21 Remote/Hybrid NumPy Jobs

between data and lived football judgement Essential Requirements Technical Skills Advanced proficiency in Python and the data science stack (pandas/polars, scikit-learn, NumPy, matplotlib/plotly) Strong SQL skills ability to design schemas, write complex queries, and manage relational data across large datasets Demonstrated experience integrating LLM APIs ...

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 ...

REST APIs, SFTP, Websockets OOP + Asynchronous Design Patterns PowerQuery/DAX/M Industry standard libraries used in software development within finance (pandas, numpy, scipy etc) MS Graph * Experience with the following technologies is nice to have: NodeJS Grafana VBA OpenAI API Cross OS file shares Profile The Python ...

OpenCV, scikit-image, PIL) and classical CV algorithms (edge detection, thresholding, color spaces). Data Analytics Fluency: Experience working with standard data manipulation libraries (NumPy, pandas, scikit-learn, SciPy). Communication: Advanced English proficiency to collaborate effectively in a global environment. Bonus Points (Nice to Have) Hands-on experience with ...

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. ...

Establish CI/CD pipelines and manage model deployment using Kubernetes/OpenShift and MLOps principles. Technical Requirements Core Programming: Expert-level Python (Pandas, NumPy, scikit-learn, PyTorch/TensorFlow, FastAPI, LangChain, LlamaIndex). Generative AI: Deep experience with LLMs (Gemini, OpenAI, Claude, Llama) and evaluating model safety/performance ...

looking for a talented ML Ops Engineer to join our growing teams. Key Responsibilities Strong proficiency in Python and ML libraries such as: pandas, NumPy, scikit-learn XGBoost, LightGBM, CatBoost TensorFlow, Keras, PyTorch Experience with model deployment and serving tools: ONNX, TensorRT, TensorFlow Serving, TorchServe Familiarity with ML lifecycle tools ...

Required Qualifications Currently pursuing or recently completed a degree in Data Science, Computer Science, Statistics, Mathematics , or related field Strong foundation in Python (Pandas, NumPy, Scikit-learn) Understanding of machine learning concepts (regression, classification, clustering) Experience with data visualization tools (Matplotlib, Seaborn, or similar) Familiarity with SQL and working with ...

REST APIs, SFTP, Websockets OOP + Asynchronous Design Patterns PowerQuery/DAX/M Industry standard libraries used in software development within finance (pandas, numpy, scipy etc) MS Graph * Experience with the following technologies is nice to have: NodeJS Grafana VBA OpenAI API Cross OS file shares Profile ...

roles. Strong understanding of machine learning concepts and experience using common ML libraries such as scikit‐learn, TensorFlow or PyTorch, alongside packages such as NumPy and Pandas. Knowledge of natural language processing techniques and API integration patterns for ML services. Experience delivering projects end-to-end, from initial concept through ...

infrastructure and tooling stack What They’re Looking For 4+ years experience in machine learning, data science, or AI engineering Strong Python skills (NumPy, Pandas, PyTorch/TensorFlow) Experience working with biological or biomedical data (industry or academia) Solid understanding of ML fundamentals (supervised/unsupervised learning, model evaluation, etc. ...

/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 ...

skills to identify and mitigate development risks effectively. Experience of development and integration of SAAS applications, Hubspot beneficial but not essential. Knowledge of geopandas, numpy, node or SQL is desirable but not essential. Experience with GIT and Docker processes. Excellent communication skills with the ability to convey complex technical concepts ...

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 ...

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 ...

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 ...

wearables—including strategies for managing irregular sampling, noise, and missing data. Advanced skills in Python for data analysis, utilizing tools such as pandas, NumPy, SciPy, and a range of visualization libraries (matplotlib, seaborn, etc.). Expertise in designing and executing controlled data experiments, including A/B tests and cohort ...

with engineering teams to improve data pipelines and outputs. Requirements: 5+ years experience in data science, analytics, or related fields; strong Python skills (pandas, numpy); solid grounding in statistics and data analysis; experience working with structured and semi-structured data; ability to translate complex data into clear insights. Nice ...

market Contributing to client discussions, presentations and written analysis Python skills are beneficial here, particularly for data analysis using tools such as pandas and numpy Staying Close to the Market Understanding how power markets evolve is essential to building useful analytics You will therefore: Track developments across wholesale, balancing ...

Strong analytical & problem-solving skills: Able to decompose messy, real-world problems and craft tailored solutions. Proficient in Python & data science: pandas/Polars, NumPy, scikit-learn, Jupyter, Plotly (or similar) Confident with data cleaning, analysis, transformation, and visualisation. Excellent communication: Advanced written and spoken English; concise, direct, and audience …/Postgres. TypeScript fluency: Able to read TS and collaborate on data contracts with the Command team. Our environment Python, Polars/pandas, NumPy, scikit-learn, Plotly, SQL/Postgres, NVIDIA cuOpt, HERE APIs, AWS (S3, ECS/Lambda, SNS/SQS), Docker, GitHub Actions, TypeScript/Node (Command services ...