76 to 83 of 83 Remote NumPy Jobs

data science methodologies Your Background 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 such as Keras or PyTorch More ❯

ideas with the wider team, learn from and contribute to the body of knowledge. Key Skills Experience using Python and SQL. Strong proficiency with data manipulation including packages like NumPy, Pandas. Knowledge of machine learning techniques and their respective pros and cons. Confident communicator and contributes effectively within a team environment. Self driven and willing to lead on projects/ More ❯

designing and conducting experiments, analyzing data, and drawing meaningful conclusions. Familiarity with large language models, transformer architectures, and related concepts. Experience with data processing tools and techniques (e.g., Pandas, NumPy). Experience working with Linux systems and/or HPC cluster job scheduling (e.g., Slurm, PBS). Excellent communication, collaboration, and problem solving skills. Bonus Points Ph.D. in Computer Science More ❯

Machine Learning Engineer Machine Learning Engineer - AI for Advanced Materials - Oxford/Remote (UK) (Tech stack: Python, PyTorch, TensorFlow, Scikit-learn, MLflow, Airflow, Docker, Kubernetes, AWS, Azure, GCP, Pandas, NumPy, SciPy, CI/CD, MLOps, Data Visualization, Bayesian Modelling, Probabilistic Programming, Terraform) We're looking for a Machine Learning Engineer to join a rapidly scaling deep-tech company that's … Machine Learning Engineers with experience in some or all of the following (full training provided to fill any gaps): Python, PyTorch, TensorFlow, Scikit-learn, MLflow, Airflow, Docker, Kubernetes, Pandas, NumPy, SciPy, CI/CD, Data Visualization, Bayesian Modelling, Probabilistic Programming, Terraform, Azure, AWS, GCP, Git, and Agile methodologies. Join a team that's fusing AI, science, and engineering to push More ❯

scalable, and maintainable applications using Python and Azure cloud technologies for commodities trading solutions. Leverage strong proficiency in Python, including use of numerical and scientific libraries such as Pandas, NumPy, SciPy etc. Utilize a second strongly typed programming language (e.g., C#, C++, Rust, or Java) as needed. Implement application architecture and DevOps best practices, including Infrastructure as code, Kubernetes, Docker … into technical specifications and software products. Mandatory Skills Extensive experience in Python application development, especially within trading, finance, or quantitative domains. Proficiency with major Python numerical libraries (e.g., pandas, numpy, scipy, stats). Experience with at least one additional strongly typed programming language (C#, C++, Rust, Java, etc.). Strong background in Azure cloud application development, including security, observability, storage More ❯

development of junior team members. Support senior team members in identifying and addressing data science opportunities. Required Skills & Experience 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: MLflow, Kubeflow, Azure ML Pipelines … and version control (e.g., Git). Excellent problem-solving skills and ability to work independently or in a team. 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: MLflow, Kubeflow, Azure ML Pipelines More ❯

are looking for someone who gets their hands dirty with the data, produces actionable insights, and automates everything they can. WHAT YOU’LL DO Use SQL and Python (pandas, NumPy) daily to clean, join and transform data into analysis-ready tables. Build and maintain lightweight automated pipelines to refresh reports and validate data with minimal manual intervention. Create and update … Git) for reproducibility. WHAT WE’RE LOOKING FOR Technical Skills – Must Have Strong SQL : confident writing complex queries, joining large datasets, and optimising performance. Strong Python : comfortable with pandas, NumPy, and writing automation scripts. Looker (or similar BI tool) : able to create and maintain dashboards; happy to cross-train if experienced in Tableau or Power BI. Understanding of data validation More ❯

models, testing hypotheses, and helping drive data-led decisions across the business. What youll be doing Writing advanced SQL to query, transform and model complex datasets. Using Python (pandas, NumPy, scikit-learn) to analyse data and build statistical or predictive models. Applying statistical techniques to uncover trends and measure business impact. Collaborating with Data Scientists, Analysts, and Engineers to automate … Presenting clear, actionable insights to non-technical stakeholders. What were looking for Proven experience as a Data Analyst or similar role. Strong SQL and Python skills (experience with pandas, NumPy, etc.). Good understanding of statistics and experience building models. Interest in data science or analytics engineering comfortable exploring new tools and techniques. Excellent communication skills and a collaborative mindset. More ❯