76 to 100 of 174 Remote NumPy Jobs

degree from a Russell Group university in Data Science, Computer Science, Mathematics, Physics, Engineering, or a related discipline Strong programming skills in Python (e.g. NumPy, pandas, scikit-learn, matplotlib); R is also welcome A solid understanding of core machine learning concepts, data wrangling, and model evaluation Proficiency with SQL and More ❯

technical audience Independent and self-driven learner, able to step outside of their area of expertise Python; we work with asyncio, SQLAlchemy, FastAPI, Pydantic, NumPy, Pandas SQL; performance tuning, schema design, monitoring in production, we mainly work with PostgreSQL Cloud (AWS) deployments and monitoring, basic networking and security best practices More ❯

Solid understanding of data science and machine learning concepts Experience with some machine learning/data engineering machine learning tech in Python (such as numpy, pytorch, pandas/polars, airflow, etc) Experience developing data products using large language model, prompt engineering, model evaluation. Experience with web services and programming (such More ❯

Router, MaterialUI, GitHub Actions, and a service-oriented architecture. The broader tech stack features Django REST Framework, PostgreSQL, AWS, Kubernetes, Docker, Redis, Celery, Pandas, Numpy, GitHub, Jenkins, Elasticsearch, and raw SQL for analytics. We emphasize clean, maintainable, and extendable code. Responsibilities Collaborate with product owners, managers, UI designers, and engineers More ❯

field. • Proven experience of large-scale data analysis and hypothesis testing. • Strong proficiency in statistical analysis and predictive modeling. • Proficient in Python (pandas, scipy, numpy, scikit-learn) or R (tidyverse/data.table), along with SQL. • Excellent problem-solving skills and attention to detail. • Strong communication skills with the ability to More ❯

field. • Proven experience of large-scale data analysis and hypothesis testing. • Strong proficiency in statistical analysis and predictive modeling. • Proficient in Python (pandas, scipy, numpy, scikit-learn) or R (tidyverse/data.table), along with SQL. • Excellent problem-solving skills and attention to detail. • Strong communication skills with the ability to More ❯

field. Proven experience of large-scale data analysis and hypothesis testing. Strong proficiency in statistical analysis and predictive modeling. Proficient in Python (pandas, scipy, numpy, scikit-learn) or R (tidyverse/data.table), along with SQL. Excellent problem-solving skills and attention to detail. Strong communication skills with the ability to More ❯

field. • Proven experience of large-scale data analysis and hypothesis testing. • Strong proficiency in statistical analysis and predictive modeling. • Proficient in Python (pandas, scipy, numpy, scikit-learn) or R (tidyverse/data.table), along with SQL. • Excellent problem-solving skills and attention to detail. • Strong communication skills with the ability to More ❯

C# on Linux, Go, or similar. Utilise Advanced Technical Stack: Leverage our technical stack, including Python, SQL, PostgreSQL, BigQuery, and libraries such as Pandas, NumPy, SciKit-Learn, XGBoost, Matplotlib, and Pytorch, to develop robust and scalable AI/ML solutions. Strong foundation in data structures, algorithms, and problem-solving, with More ❯

designing machine learning algorithms, including feature engineering, model selection, and hyperparameter tuning. Are comfortable working with Python data science libraries such as Jupyter Notebooks, Numpy, Pandas, and SciKit Learn. Can effectively visualise data and confidently communicate insights to colleagues from a range of disciplines. Have an interest in maps and More ❯

for solving problems, ideally including Large Language Models. Proficiency in Python, particularly with machine learning and data science libraries such as PyTorch, scikit-learn, numpy and scipy. Good communication and interpersonal skills. Experience working with large-scale data processing systems such as Spark and Hadoop. Experience in software development in More ❯

outputs Good foundational knowledge of standard machine learning algorithms and statistical methods Proficient in python and its standard data science and ML libraries (e.g., numpy, pandas, scikit-learn, boosting and data visualization libraries) Practical experience in data processing and feature engineering for machine learning applications Ability to write robust production More ❯

ability to mentor colleagues, drive projects forward, and influence stakeholders. You should apply if you: Have a strong technical background, including proficiency in Python (NumPy, Pandas, Scikit-Learn, etc.), SQL, and cloud platforms such as GCP or AWS. Have experience working with modern databases like BigQuery, Snowflake, or Redshift. Have More ❯

TensorFlow, scikit-learn, and deep understanding of model lifecycle management. Strong command of the tools for building machine learning models. Proficient in Python (Pandas, NumPy, scikit-learn, PyTorch) and advanced SQL. 2 to 3 years of experience with big data platforms: Snowflake, Databricks or Spark. Solid understanding of probability theory More ❯

for solving problems, ideally including Large Language Models Proficiency in Python, particularly with machine learning and data science libraries such as PyTorch, scikit-learn, numpy and scipy Good communication and interpersonal skills Experience working with large-scale data processing systems such as Spark and Hadoop Experience in software development in More ❯

with social and digital platforms such as Meta, Amazon, Google to onboard datasets an advantage Proficiency working with data in SQL and Python (Pandas, NumPy preferred) Knowledge of statistical testing methodologies Experience with BI tools (Tableau, PowerBI preferred) Experience with cloud computing services & solutions (AWS, Azure, GCP, Amazon Marketing Cloud More ❯

risk management team in designing, developing and deploying quantitative risk models to manage our risk. Our tech stack is comprised of Python (incl. Pandas, NumPy & Matplotlib), SQL, MongoDB, GitLab and increasingly GCP. As a team of Risk Analysts & Risk Managers, we are looking for someone who can own the DevOps More ❯

commutes. We consider a reasonable commute to be no longer than 1.5 hours each way) Strong Python skills, including the use of relevant libraries (NumPy, pandas, etc.) Experience in 2 or 3 of the following: Using data analysis tools Processing large data sets accurately Using relational databases Previous experience of More ❯

Computer Science, Engineering, Physics, Economics or a related quantitative field Strong grounding in probability, statistics and machine learning fundamentals Working knowledge of Python (pandas, NumPy, scikit‐learn), and basic SQL Curiosity, problem‐solving mindset and the ability to present complex ideas simply Right to work in the UK Nice to More ❯

for clients.+ Strong proficiency in programming languages such as Python, R, and SQL.+ In-depth experience with data manipulation and visualization libraries (e.g., Pandas, NumPy, Matplotlib, etc.).+ Solid understanding of big data technologies (e.g., Hadoop, Spark) and cloud platforms (AWS, Azure, Google Cloud).+ Strong expertise in the full More ❯

than Credit Risk. Building from the beginning - lots of IT Challenges - Python Code Migrating from library, tweaking, methodology. Skills: Python: Blackrock numeric data processing: numpy, scipy databases: sqlalchemy, psycopg Carbon60, Lorien & SRG - The Impellam Group STEM Portfolio are acting as an Employment Business in relation to this vacancy. Front Office More ❯

scale projects. What you’ll bring to the role Strong grounding in ML approaches, techniques, and frameworks. Proficiency in Python, Pandas, TensorFlow, Scikit-learn, Numpy, SciPy. Experience deploying to the cloud and working with Azure (Azure DevOps, Azure ML, Azure SQL, ADF, etc.). Ability to work with databases like More ❯

SAP level program clearance. Preferred Qualifications for for a Modeling & Simulation Software Engineer: • Proficiency in performing analysis with either matlab or python analysis tools (numpy, matplotlib, pandas) • Proficiency with Microsoft Excel • Experience with requirements verification and validation, or in performing analysis with python or matlab. • Experience in high performance computing More ❯

scale projects. What you'll bring to the role Strong grounding in ML approaches, techniques, and frameworks Proficiency in Python, Pandas, TensorFlow, Scikit-learn, Numpy, SciPy Experience deploying models to the cloud and working with Azure (Azure DevOps, Azure ML, Azure SQL, ADF, etc.) Ability to work with databases such More ❯

engines like Coqui TTS Self-supervised learning tools like S3PRL Solid understanding of digital signal processing and acoustic modeling, with experience in: FFmpeg , SoX , NumPy/SciPy , Praat Experience deploying ML models in cloud environments (AWS, GCP, or Azure). BS or MS in CS, EE, ML, or related field More ❯