126 to 150 of 151 Permanent Pandas Jobs

predictive accuracy, interpretability, and automation. Engineer scalable analytical frameworks and reusable ML assets, integrating Python-based (or other) ML pipelines (TensorFlow, PyTorch, Scikit-learn, Pandas) with enterprise data platforms (Snowflake, Azure, Google Vertex AI) to standardise insight generation and model delivery. Collaborate with Data Architecture and Engineering to operationalise models ...

predictive accuracy, interpretability, and automation. Engineer scalable analytical frameworks and reusable ML assets, integrating Python-based (or other) ML pipelines (TensorFlow, PyTorch, Scikit-learn, Pandas) with enterprise data platforms (Snowflake, Azure, Google Vertex AI) to standardise insight generation and model delivery. Collaborate with Data Architecture and Engineering to operationalise models ...

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 ...

testing Build and deploy predictive ML models Mentor junior team members What you'll bring 4+ years' experience in data science Strong Python skills (pandas, numpy, PyTorch etc.) Experience with traditional ML techniques and statistical analysis Solid consulting skills - communication, problem-solving, stakeholder engagement Eligible for SC Security Check clearance ...

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 ...

clearance (mandatory) Proven experience in a data science or machine learning role Strong programming skills in Python and familiarity with key data libraries (e.g. pandas, NumPy, scikit-learn) Experience with data wrangling , feature engineering, and model optimisation Understanding of data pipelines , APIs, and production deployment workflows Excellent communication skills ...

related technical field. Preferred Qualifications Experience with Wi-Fi, Bluetooth, cellular, UWB, or GNSS wireless technologies. Familiarity with statistical tools or data libraries (pandas, NumPy, SciPy, JMP, R). Understanding of test automation frameworks and lab equipment control (GPIB/LAN/USB). Strong collaboration, debugging, and problem-solving ...

deployment, and dealing with countless other frustrating bottlenecks. And the tools they are using for much of this work - e.g. Jupyter notebooks and Pandas - are over a decade old. We founded Delphina to change this: our mission is to help the world get better at using data to understand ...

deployment, and dealing with countless other frustrating bottlenecks. And the tools they are using for much of this work - e.g. Jupyter notebooks and Pandas - are over a decade old. We founded Delphina to change this: our mission is to help the world get better at using data to understand ...

delivering applied machine-learning projects in production. Proven record of deploying and maintaining ML models through CI/CD pipelines Advanced proficiency in Python (pandas, scikit-learn, PySpark) and SQL. Experience with ML lifecycle tooling such as MLflow and Databricks. Strong understanding of testing, version control, containerisation, and monitoring. Excellent ...

delivering applied machine-learning projects in production. Proven record of deploying and maintaining ML models through CI/CD pipelines Advanced proficiency in Python (pandas, scikit-learn, PySpark) and SQL. Experience with ML lifecycle tooling such as MLflow and Databricks. Strong understanding of testing, version control, containerisation, and monitoring. Excellent ...

position or a quantitative academic field. You demonstrate strong programming skills, with the ability to be a fluent Python programmer, using core libraries (NumPy, Pandas) and a deep-learning framework (e.g., PyTorch). You have a deep expertise in core data science paradigms (e.g. supervised/unsupervised, NLP, validation), demonstrating ...

position or a quantitative academic field. You demonstrate strong programming skills, with the ability to be a fluent Python programmer, using core libraries (NumPy, Pandas) and a deep-learning framework (e.g., PyTorch). You have a deep expertise in core data science paradigms (e.g. supervised/unsupervised, NLP, validation), demonstrating ...

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 ...

design processes this involves. Specifically: You can write Python to a high standard and are familiar with the standard data science libraries such as pandas, scikit-learn and networkx. You are capable of developing new algorithms in novel situations and can demonstrate previous work to evidence this. You are keen ...

facing staff. Contribute to internal R&D exploring new metrics, methods, and analytics approaches. What were looking for: Strong Python skills, with experience in pandas or polars. Good understanding of statistical/ML concepts and how to apply them to real sporting problems. Some hands-on experience with cricket data ...

both technical and non-technical stakeholders, including coaches, scouts, analysts, and traders. Skills & Attributes Strong programming experience in Python with excellent data manipulation skills (pandas/polars). Solid statistical or machine-learning background, with experience applying these techniques to football data. Hands-on experience with events and/ ...

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 ...

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 … 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 ...

We are seeking a VP Data Science to lead our Data Science function within Planning Agent, our AI-powered advertising planning platform used daily by agency teams. This role will shape the future of agentic ...

Job Description : What will make this person successful is their ability to convey the analysis of their data in laymans terms to business executives. Give presentations with confidence and clarity, using excellent command of English ...

Claude), Generative AI, Retrieval Augmented Generation. Agentic AI, CoPilot, MCPs. AIML Algorithms(Regression, Classification, Decision Trees, KNN, K-Means) Python (NLTK, NumPy, Scikit-learn, Pandas) Candidates will be expected to work on developing & implementing AIML Solutions for Test Automation in the Securities Processing space. This will entail building AIML Solutions … React to build front end for the AIML solutions is a plus. Hands- on experience with Python libraries like(NLTK, NumPy, Scikit-learn, Pandas). Knowledge of AIML algorithms (Regression, Classification, Decision Trees, KNN, K-Means) is preferred. Experience with building, training & finetuning AIML models is a plus. Bachelors degree ...

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 … . 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 ...

with the biological research team, youll design intuitive user interfaces, translate lab workflows into functional software, and develop robust data analysis pipelines using Python, pandas, matplotlib, and related libraries. Youll even have the chance to take ownership of small development projects from concept to deployment, contributing to GitHub-based workflows … will need: - At least one year of software development experience (a placement year will be accepted) - Experience with Python libraries such as tkinter, pandas, and matplotlib - Experience using GitHub or similar version control platforms - Strong proficiency in Python - Familiarity with SQL or other database systems - The a bility to design ...

Role Summary We are seeking a highly skilled Data Engineer with strong AIML (LLMs, Generative AI, Agentic AI) and Python expertise to design, develop, and implement AI/ML-driven solutions for Test Automation within ...