51 to 75 of 79 Permanent Pandas Jobs

if you: Have over 3+ years of professional experience in data science or applied analytics. Are highly skilled in Python and Jupyter notebooks. Have experience using libraries including numpy, pandas, scipy, sympy, scikit-learn, torch, tensorflow. Have a bachelor's degree in data science, statistics, computer science, or related field in the U.S., Canada, New Zealand, UK or Australia. Have More ❯

experience in ML Engineering or a related field (we value diverse backgrounds!) Strong foundation in software engineering principles and best practices Proficiency in Python and data science libraries (e.g., pandas, scikit-learn, PyTorch) Familiarity with version control systems and CI/CD principles Understanding of statistical models and their evaluation methodologies We encourage applications from candidates of all backgrounds. If More ❯

degree in a quantitative field (e.g. Statistics, Mathematics, Physics, Machine Learning) You're confident in Python (production-level) and SQL, and at home with modern ML libraries such as Pandas, scikit-learn, and TensorFlow You have practical experience with MLOps frameworks and deploying models You're skilled at bringing data to life through visualisation, and tools like Tableau feel natural More ❯

GIS, ArcGIS), remote sensing techniques, and the application of data science in the IC. Expert proficiency in Python (or similar languages) and experience with data science libraries (TensorFlow, PyTorch, Pandas, NumPy). Strong experience with big data processing tools (e.g., Spark, Hadoop, AWS or Azure cloud platforms). Expertise in working with geospatial data formats (e.g., GeoTIFF, Shapefiles, WMS, WFS More ❯

machine vision) Provide remote technical support to factory engineers overseas In order to be successful in this role you will need: Competent coding skills in Python (ideally Asyncio, Django, Pandas, ) A good understanding of audio electronics and measurement tools and methods A commitment to continual improvement, both personal and of the wider team Excellent design, debugging and problem-solving abilities More ❯

to full time after the internship. Have experience programming in Python, C/C++, Java and/or experience with statistical analysis, numerical programming, or machine learning in Python, Pandas, R. Are an ambitious entrepreneur with a track record of exceptional intellectual achievement. Are a self starter, comfortable taking initiative and working independently in a past faced and dynamic environment. More ❯

Vision, or related technical discipline. Good knowledge of machine learning and computer vision algorithms. Familiarity with real-time imaging pipelines. Experience with scientific software packages such as PyTorch, OpenCV, Pandas, SciPy, NumPy, SciKit's, etc. Experience in standard software engineering practices including version control systems and software testing methodologies. Excellent oral and written communication skills. Analytical thinker, attentive to details More ❯

and have in-depth knowledge of how they work Python: You have built and deployed production-grade Python applications and you are familiar with data science libraries such as pandas and scikit-learn Tooling & Environment : DevOps: You have experience working with DevOps tooling, such as gitops, Kubernetes, CI/CD tools (we use buildkite) and Docker Cloud: You have worked More ❯

databases and dashboarding software such as Power BI or Tableau is important. Familiarity with programming languages such as Python or R and their associated data analysis libraries (e.g., NumPy, Pandas, scikit-learn) is a plus. Statistical Expertise: Strong understanding of statistics, including descriptive statistics, regression, probability, sampling, and hypothesis testing. Communication: Excellent written and verbal presentation skills, with the ability More ❯

house applications for the Derivatives trading desk using Python Implement automated testing with PyTest and ensure code quality through peer reviews Process, analyse, and manipulate data using NumPy and Pandas Manage CI/CD pipelines to ensure stable production environments Utilise Git-based workflows for collaborative development Work closely with team members and stakeholders to deliver user-focused solutions Provide More ❯

Preferred Skill Sets Familiarity with Oracle Exadata Familiarity with SingleStore/Mysql is a big plus Experience with Python, exposure to DB connect libs and others like requests, json, pandas etc Oil and Gas Industry experience Important Point to be Noted: We are specifically looking for candidates with a strong focus on PL/SQL development. Those with extensive experience More ❯

experience setting up CI/CD pipelines using tools like Azure DevOps, GitHub Actions, or GitLab CI, targeting Azure environments. Experience with popular Python libraries and frameworks such as Pandas, NumPy, and PySpark. Benefits Full-time, permanent contract. Competitive salary up to £60,000 per annum, depending on experience. Hybrid working model based in Aberdeen (2 days per week in More ❯

approaches. Supporting business development and pitch materials. What You’ll Bring Degree in a STEM field (Maths, CS, Engineering). Experience in data science or consulting. Strong Python/Pandas skills. Entrepreneurial mindset and proactive problem-solving. Hands-on machine learning experience. Nice to have: large datasets, data engineering, pricing/optimisation, client presentations, banking/FS experience, plus any More ❯

Data Scientist, your background will include: 3+ years industry experience in a Data Science role and a strong academic background Python Data Science Stack: Advanced proficiency in Python , including pandas , NumPy , scikit-learn , and Jupyter Notebooks . Statistical & ML Modelling: Strong foundation in statistical analysis and proven experience applying a range of machine learning techniques to solve business problems (e.g. More ❯

developing NLP and ML/DL solutions in a professional or enterprise environment You are proficient in Python and relevant libraries for data science and deep learning (e.g., NumPy, Pandas, TensorFlow, PyTorch) You have a strong understanding of classic NLP and LLM-based approaches and hands-on experience with LLMs , such as RAG, prompt engineering, data synthesis, automatic evaluation, and More ❯

designing and deploying ArcGIS Enterprise in multi-environment configurations.Required8Years? Proficiency in DNS, port assignment, and firewall policy management related to ArcGIS Server and ArcGIS Enterprise.Required8Years? Proficiency using Python (ArcPy, Pandas) and SQL for ArcGIS management and automation.Required8Years? Demonstrated experience with geodatabase design and spatial analysis.Required8Years? Familiarity with GIS web services (REST, SOAP) and APIs.Required8Years? Familiarity with Esri?s current licensing More ❯

experience in data analysis and reporting, 1+ years of experience performing data analysis in the solar industry strongly preferred Advanced skills with the Python programming language and specifically the pandas and numpy data analysis packages, 1+ years experience required, 3+ years preferred Knowledge of residential solar system equipment and operation preferred Strong analytical skills with the ability to exercise independent More ❯

experience preferred. Familiarity with various database structures and experience working with large datasets. Exposure to data science tools and platforms that support data preparation, algorithm development, and visualization (e.g., pandas, Jupyter Notebooks, Power BI). Intermediate technical and analytical abilities with programming skills in a language such as Python. Intermediate understanding of the techniques to collect, organize, blend, cleanse and More ❯

pressure). Communicate findings effectively to both technical and non-technical stakeholders, including coaches, scouts, analysts, and traders. Skills & Attributes Strong background in Python, with experience in data manipulation (Pandas/Polars) and statistical modelling. Industry experience in a data science role focussing on sports analytics or personal projects related to football data. Knowledge of advanced football metrics (possession value More ❯

Python or C# , ensuring scalability and performance. Implement and manage ETL (Extract, Transform, Load) processes to support data integration and transformation workflows. Utilize Python data processing libraries such as pandas , NumPy , or PySpark to handle large datasets efficiently. Lead technical design discussions and mentor junior developers. DevOps & Infrastructure Design and implement CI/CD pipelines using GitHub Actions, Jenkins, or …/ML integration and data-driven orchestration frameworks. Experience with ETL processes and SQL Server Integration Services (SSIS) is highly beneficial. Proficiency with Python data processing libraries such as pandas, NumPy, or PySpark is considered a strong asset. Nice to have: experience building and deploying UI frameworks like React or Angular. The Person: Strong interpersonal skills to work effectively with 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 … model could change an industry, you'll fit right in. Company Noir Qualifications Senior (5+ years of experience) Experience with 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. Benefits Competitive salary with annual performance based bonuses Equity options - share 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 … seeking 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 More ❯

enablement, and other events as subject matter expert for Redis Vector Similarity Search; design/develop deep learning algorithms, machine learning recommendation systems; perform data analyses/visualization (SQL, Pandas, Numpy, Scikit-Learn, MatplotLib); deploy machine learning algorithms (AWS), graph clustering algorithms (Python, C++, Rust) using programming languages; use software libraries/platforms, AWS Sagemaker, Numpy, Scipy, Scikit-Learn, PyTorch … Science, Computer Engineering, or Mechanical Engineering plus 1 year experience. Experience to include designing/developing deep learning algorithms, machine learning recommendation systems; performing data analyses/visualization (SQL, Pandas, Numpy, Scikit-Learn, MatplotLib); deploying machine learning algorithms (AWS), graph clustering algorithms (Python, C++, Rust) using programming languages; and using software libraries/platforms, AWS Sagemaker, Numpy, Scipy, Scikit-Learn More ❯

Adjust, and other MMPs Engineer features for ML models: temporal patterns, user behaviour sequences, campaign attribution Ensure data quality through comprehensive validation, deduplication, schema checks, and defensive programming Optimise pandas/Polars pipelines for performance - we process millions of events daily Handle messy real-world data: duplicates, out-of-order events, schema drift, missing fields, null handling Infrastructure & Orchestration Build … with data scientists to productionise ML workflows and model inference Requirements The ideal candidate must have... 4-6+ years building production data pipelines with demonstrable business impact Deep pandas expertise: you've built real ETL pipelines in production, understand vectorization, memory optimization, and performance patterns Deep expertise in Python and SQL with high code quality standards (e.g. ruff, mypy More ❯

critical simulation initiatives. Key Responsibilities Design, build, and maintain high-performance ETL/ELT data pipelines using Python and PySpark. Apply expertise in Python's data analysis libraries, including Pandas and NumPy, to perform complex data manipulation, cleansing, and transformation. Develop and manage data processing jobs leveraging PySpark for distributed computing across large-scale datasets. Implement DevOps practices and tooling … Skills 5+ years of experience in Data Engineering or a related technical field. Expert-level proficiency in Python, including a strong command of core concepts and specialized data libraries (Pandas, NumPy). Solid hands-on experience with PySpark for building scalable data workflows. Strong background in DevOps principles and tools for deploying Python-based data applications (e.g., containerization, CI/ More ❯