51 to 75 of 83 Permanent Pandas Jobs

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 ❯

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 ❯

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 ❯

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 ❯

equivalent experience) in Computer Science, Data Science, Mathematics, Physics, or Bioinformatics 5+ years post-qualification experience tackling complex technical challenges Expert-level Python programming (NumPy, PyTorch/TensorFlow, SciPy, pandas) Deep expertise in time-series and sequence modelling (RNNs, LSTMs, transformers, attention mechanisms) Strong foundation in probabilistic models (HMMs, Bayesian inference, graphical models) Track record of delivering impactful research or More ❯

to display the following: At least 3 years commercial experience in a similar role - Data Analyst or Engineer Excellent SQL skills including (CTEs and window functions) Excellent Python skills (Pandas) Demonstrable knowledge of warehouses (tables, views & databases) Experience of Power BI Good relationship builder Ability to communicate well with both technical and non-technical colleagues Able to set own agenda 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 ❯

or Looker Studio with clear commercial storytelling. Excellent communication and presentation skills, able to translate complex analysis into actionable insights. Detail-oriented with a QA-first mindset. Desirable: Python (pandas/requests) for light data wrangling and automation, experience with personalisation/testing platforms, and familiarity with Contentsquare, dbt, Acquia, or Adobe Launch. HOW TO APPLY: Apply by sending your More ❯

and demonstrable proficiency across: - CORE EXPERIENCE : Strong command of Generative AI, LLMs, and RAG principles. Proven experience managing the end-to-end ML lifecycle. - TECH STACK: Proficiency in Python (Pandas, NumPy, LangChain). Deep familiarity with the [Specific Vendor]’s [Cloud Environment] AI and Data Stack (Azure ML, Azure OpenAI, Databricks). - SPECIALIZATION: Expertise in Vector databases (FAISS, Pinecone, Azure 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 ❯

model performance. What We're Looking For A Bachelor's degree in Computer Science, Mathematics, Electrical Engineering, or a related field. Strong experience with Python and data science libraries (Pandas, Scikit-learn, etc.). Solid understanding of machine learning concepts and algorithms . Interest in working with real-world industrial or sensor data . Exposure to Apache Airflow and/ 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 ❯

and hands on experience and solid understanding of machine learning and deep learning methods. Extensive experience with machine learning and deep learning toolkits (e.g., TensorFlow, PyTorch, NumPy, Scikit Learn, Pandas). Ability to design experiments and training frameworks, and to outline and evaluate intrinsic and extrinsic metrics for model performance aligned with business goals. Experience with big data and scalable 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 ❯

proven experience in a professional data science or quantitative academic role, underpinned by high mathematical and statistical competence. You are a strong Python programmer, proficient in essential libraries (NumPy, Pandas) and a deep-learning framework (TensorFlow/PyTorch). You possess a solid grasp of core data science techniques (supervised/unsupervised learning, time-series, NLP, model validation) and the 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 ❯

for this role. Technical proficiency Strong econometric modelling skills using tools such as R, Python, or other statistical software packages (e.g., EViews, SAS) Experience with Python libraries such as Pandas and Parquet is a big plus Experience with different modelling approaches and methodologies e.g., linear, logarithmic linear etc Ability to handle large datasets, clean and transform raw data, and apply 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 ❯