51 to 75 of 173 Permanent NumPy Jobs

with Python and Django on an increasingly more service-oriented architecture. The rest of the tech stack includes Django REST Framework, PostgreSQL, AWS, React.js, Kubernetes, Docker, Redis, Celery, Pandas, Numpy, Git, Jenkins, and Elasticsearch. We have a very large but clean code base as we put significant emphasis on design patterns, code readability, automated testing, maintainability, and extendability. Responsibilities Work More ❯

React Router, MaterialUI, GitHub actions, on an increasingly more service-oriented architecture. The rest of the tech stack include Django REST Framework, PostgreSQL, AWS, Kubernetes, Docker, Redis, Celery, Pandas, Numpy, Github, Jenkins, Elasticsearch and lots of raw SQL for analytics. We have a very large but clean code base as we put significant emphasis on design patterns, code readability, testability More ❯

data engineering. Ability to work standard European time-zone hours and legal authorisation to work in your country of residence. Strong experience with Python's data ecosystem (e.g., Pandas, NumPy) and deep expertise in SQL for building robust data extraction, transformation, and analysis pipelines. Hands-on experience with big data processing frameworks such as Apache Spark, Databricks, or Snowflake, with More ❯

with Python and Django on an increasingly more service-oriented architecture. The rest of the tech stack include Django REST Framework, PostgreSQL, AWS, React.js, Kubernetes, Docker, Redis, Celery, Pandas, Numpy, Git, Jenkins and Elasticsearch. We have a very large but clean code base as we put significant emphasis on design patterns, code readability, automated testing, maintainability and extendability. Responsibilities Work More ❯

C++, Python or related language - Experience with neural deep learning methods and machine learning PREFERRED QUALIFICATIONS - Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc. - Experience with large scale distributed systems such as Hadoop, Spark etc. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status More ❯

a track record of handling high-visibility, customer-facing outputs. 1+ years experience using Python (or another programming language e.g. R, C++, Java) and with the scientific computing stack (Numpy, Pandas, SciPy, ScikitLearn, etc.) Familiarity with renewable energy technologies, market design, and regulatory frameworks within European power markets, specifically GB, Germany, Spain, Portugal, France, or Italy. Experience writing technical, report More ❯

a track record of handling high-visibility, customer-facing outputs. 1+ years experience using Python (or another programming language e.g. R, C++, Java) and with the scientific computing stack (Numpy, Pandas, SciPy, ScikitLearn, etc.) Familiarity with renewable energy technologies, market design, and regulatory frameworks within European power markets, specifically GB, Germany, Spain, Portugal, France, or Italy. Experience writing technical, report More ❯

Strong end-to-end delivery skills, including model deployment and operationalisation, with a solid grasp of MLOps best practices. Proficient in Python and key data science libraries such as NumPy, Pandas, Scikit-learn, PyTorch, and Statsmodels. Solid academic background in mathematics, computer science, or a related field, ideally with an MSc or PhD Practical experience with cloud platforms (preferably GCP More ❯

work. Data Engineering & Modelling: Understanding of ORM/entity relationships, NoSQL, JSON, XML, SQL and exposure to data visualisation tools (ETL/ELT). Data Science Tools: Proficiency in Numpy, Pandas, Matplotlib, Seaborn and Scikit-learn. MLOps: Experience building pipelines (CI/CD) using Bicep or similar technologies. Expertise in deploying, monitoring and managing machine learning models in production environments. More ❯

on experience with OpenAI APIs and Microsoft Azure AI services. Strong understanding of large language models, prompt engineering, and fine-tuning techniques. Experience with data manipulation libraries (e.g., Pandas, NumPy) and cloud platforms. Familiarity with MLOps, version control (e.g., Git), and deployment tools (e.g., Docker, Kubernetes). Excellent problem-solving skills and the ability to work on complex AI challenges. More ❯

structured and unstructured datasets of varying sizes. Track record of implementing impactful models that drive sustained business results. Proficiency in the Python data science tech stack (pandas, scikit-learn, NumPy, and visualisation libraries) Experience working in a Linux-based cloud environment (e.g. GCP, Azure, AWS). Experience using git version control. Communication, stakeholder management, and problem-solving skills are critical. More ❯

Research: Extensive hands-on experience using Python for data analysis, scientific computing, prototyping, and automation. You should be comfortable with core data science and signal processing libraries (e.g., Pandas, NumPy, SciPy, Scikit-learn, Librosa). Proven Research Background: A strong track record of performing high-quality, unsupervised research in a relevant field, with a portfolio of projects you have significantly More ❯

SQL, preferably with an enterprise database system like Redshift, Postgres. Ideally experience with data processing tools like DBT and Dask. Experience in Python data science space - LangChain, LangSmith, pandas, numpy, sci kit learn, scipy, hugging face etc. Understanding of statistical and machine learning models. Knowledge of experimental design, statistical testing and model validation. Experience in data visualization tools such as More ❯

designing and implementing efficient data pipelines, including performance tuning and optimization. Proven ability to apply machine learning techniques to real-world problems. Familiarity with core libraries such as Pandas, NumPy, Scikit-learn, SciPy, and Polars is expected. Experience with digital signal processing, mobile sensor physics, or behavioural signal design. Proven track record of designing and delivering scalable data products, driving More ❯

and varied opinions. Experience in a range of tools sets comparable with our own: Database technologies: SQL, Redshift, Postgres, DBT, Dask, airflow etc. AI Feature Development: LangChain, LangSmith, pandas, numpy, sci kit learn, scipy, hugging face, etc. Data visualization tools such as plotly, seaborn, streamlit etc You are Able to chart a path on a long term journey through much More ❯

Tableau or Power BI). iii. Agile methodologies and project management tools and utilization of project management tools (e.g., JIRA). iv. Statistical, mathematical, and database Python packages (e.g., NumPy, SQLAlchemy, or Pandas More ❯

analytical tools. Company: Trust in Soda Qualifications: Essential Requirements: Extensive experience in deploying products Solid experience with Python, and associated libraries such as scipy, scikit-learn and pandas/numpy Experience creating NLP/DL/RNN models Experience with Image Processing and CNNs Excellent communication skills Degree in CS, maths, statistics, engineering, physics or similar Desirable Requirements: NoSQL databases More ❯

monitoring • Familiarity with data pipeline orchestration and a strong grasp of DevSecOps best practices in cloud-native environments • Hands-on experience with key tools and frameworks, including: o Python, NumPy, Pandas, scikit-learn o TensorFlow or PyTorch o Elasticsearch, Logstash, Kibana • Preferred Experience in GDS (Government Digital Services) or USDS (U.S. Digital Services) Education Requirement • Shall have at a minimum More ❯

evaluation Requirements: 3+ years of experience in data science or ML, ideally in biotech or healthcare Strong Python programming skills and experience with ML libraries Familiarity with Jupyter , Pandas , NumPy , and MLFlow Experience working with clinical or biological datasets is a big plus Comfortable working in a fast-paced, research-driven environment Bonus Skills: Knowledge of genomics , bioinformatics , or clinical More ❯

analysts and middle officers to understand and gather requirements Design, development, testing and documenting REQUIRED SKILLS: Python Multi-threading & asynchronous programming Knowledge of commodities/Energy trading Dask, Pandas, Numpy frameworks. Full life cycle development Excellent Communication skills Python web framework (e.g., Flask, Dash) Built RESTful Web APIs More ❯

analysts and middle officers to understand and gather requirements Design, development, testing and documenting REQUIRED SKILLS: Python Multi-threading & asynchronous programming Knowledge of commodities/Energy trading Dask, Pandas, Numpy frameworks. Full life cycle development Excellent Communication skills Python web framework (e.g., Flask, Dash) Built RESTful Web APIs More ❯

as a Quant Developer (or related position) Strong coding experience in Python and C++, with outstanding debugging and analytical skills Solid experience with Python data science stack, e.g. Pandas, Numpy, Scikit-learn, etc. Keen proponent of writing automated tests Rewards and Incentives Competitive base salaries and performance-based bonuses Very collaborative culture, ideas are implemented Work with passionate, forward-thinking More ❯

on expertise with GCP services (BigQuery, Cloud Storage, Dataflow) Proficiency in Power BI for creating reports and dashboards Strong Python skills, including experience with data libraries like Pandas and NumPy Solid background in ETL processes, data pipeline design, and data warehousing Detail-oriented with excellent problem-solving and communication skills Nice to Have: Knowledge of data governance, quality, and security More ❯

of. • 5+ years of Data Science development experience using Python • Proficiency in data science, machine learning, and analytics, including statistical data analysis, model and feature evaluations. • Strong proficiency in numpy & pandas. • Demonstrated skills with Jupyter Notebook or comparable environments • Practical experience in solving complex problems in an applied environment, and proficiency in critical thinking. • Candidates require a TS to start. More ❯

code deployment Candidate Profile: - Bachelor's degree or higher in computer science, engineering, mathematics, or a related STEM field - Strong Python development skills, including experience with core scientific libraries (numpy, pandas, polars, scikit-learn) - Solid understanding of Python internals and memory/performance optimization - Proficiency in Linux-based environments and modern development tools (CI/CD, testing frameworks, monitoring, version More ❯