201 to 216 of 216 Permanent NumPy Jobs

Machine Learning Engineer Machine Learning Engineer – AI for Advanced Materials – Oxford (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 reinventing how the … 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 push 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 … 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 push More ❯

Programming ii. Key skills: Functions, classes, and object-oriented programming, List comprehensions, generators, Error handling, iii. Working with virtual environments and package management (pip, venv) Data Manipulation & Analysis (Pandas & NumPy) i. Key libraries: pandas, numpy, (optional: polars) ii. Key skills: Data cleaning and preprocessing, Handling missing values, grouping, merging, pivoting, aggregations, and SQL Software Engineering Best Practices i. Key practices More ❯

Programming ii. Key skills: Functions, classes, and object-oriented programming, List comprehensions, generators, Error handling, iii. Working with virtual environments and package management (pip, venv) Data Manipulation & Analysis (Pandas & NumPy) i. Key libraries: pandas, numpy, (optional: polars) ii. Key skills: Data cleaning and preprocessing, Handling missing values, grouping, merging, pivoting, aggregations, and SQL Software Engineering Best Practices i. Key practices More ❯

funding late this year. They code in Python, and React on the Frontend. Tech & Data Science stack: Kubernetes & Docker on Google Cloud Python 3: Pandas, RabbitMQ, Celery, Flask, SciPy, NumPy, Dash, Plotly, Matplotlib Javascript, React, Redux PostgreSQL, Redis Prometheus, Alert Manager, DataDog If you joined the company in a Data Science role you would be working on sophisticated pricing algorithms … know when to be pragmatic to ensure the best business outcomes You'll be a coder in Python, C++ or Java Experience of productionizing analytics code pandas, scipy and numpy If your a Data Scientist looking to go on an exciting new journey with an early stage startup, and the opportunity to work on advanced pricing algorithms is something that More ❯

hear from you if you Have an advanced degree in Computer Science, Mathematics or a similar quantitative discipline Are proficient with Python, including open-source data libraries (e.g Pandas, Numpy, Scikit learn etc.) Have experience productionising machine learning models Are an expert in one of predictive modeling, classification, regression, optimisation or recommendation systems Have experience with Spark Have knowledge of … Models (fine tuning, RAG, agents) Experience with graph technology and/or algorithms, understanding of NLP algorithms Our technology stack Python and associated ML/DS libraries (scikit-learn, NumPy, LightGBM, Pandas, TensorFlow, etc ) PySpark AWS cloud infrastructure: EMR, ECS, Athena, etc. MLOp/DevOps: Terraform, Docker, Airflow, MLFlow, NewRelic The interview process Recruiter Call (30 minutes) Meeting a Machine More ❯

unit and integration testing, promoting long-term stability and maintainability. Apply SOLID principles and appropriate design patterns to ensure scalable and maintainable architecture. Work with modern technologies including SciPy, NumPy, Pandas, SQL, cloud platforms, Docker, Kubernetes, and CI/CD tools. Collaborate with cross-functional teams (data science, consultants, development) across the Netherlands, UK, and US, with a focus on … concepts and models. Experience in developing analytic and optimization solutions in a product environment. Valuable: Experience with marketing mix modeling, forecasting, or econometric/statistical modeling. Valuable: Familiarity with NumPy, Pandas, SQL, cloud platforms, Docker, Kubernetes, CI/CD tools. Excellent communication, teamwork, and problem-solving skills. What we offer The opportunity to shape the analytics engine that drives marketing More ❯

unit and integration testing, promoting long-term stability and maintainability. Apply SOLID principles and appropriate design patterns to ensure scalable and maintainable architecture. Work with modern technologies including SciPy, NumPy, Pandas, SQL, cloud platforms, Docker, Kubernetes, and CI/CD tools. Collaborate with cross-functional teams (data science, consultants, development) across the Netherlands, UK, and US, with a focus on … concepts and models. Experience in developing analytic and optimization solutions in a product environment. Valuable: Experience with marketing mix modeling, forecasting, or econometric/statistical modeling. Valuable: Familiarity with NumPy, Pandas, SQL, cloud platforms, Docker, Kubernetes, CI/CD tools. Excellent communication, teamwork, and problem-solving skills. What we offer The opportunity to shape the analytics engine that drives marketing More ❯

big data processing with Spark, and real-time data streaming with Kafka. These pipelines will need to be written using efficient, testable, and reusable Python code using (for example) Numpy, Pandas and Pyspark. We manage our numerous pipelines using Airflow to meet our data serving and modelling requirements. Our services are reliable, robust, and follow industry best practice in data … as a software or data engineer in complex production environments. High proficiency in Python, including software development standards and knowledge of the Python data science/engineering ecosystem (e.g. Numpy, Pandas). Strong command of Linux, containers (Docker), and infrastructure as code for cloud deployments (AWS preferred). Comfortable leading initiatives and mentoring others. Experience with: Large-scale data processing More ❯

big data processing with Spark, and real-time data streaming with Kafka. These pipelines will need to be written using efficient, testable, and reusable Python code using (for example) Numpy, Pandas and Pyspark. We manage our numerous pipelines using Airflow to meet our data serving and modelling requirements. Our services are reliable, robust, and follow industry best practice in data … as a software or data engineer in complex production environments. High proficiency in Python, including software development standards and knowledge of the Python data science/engineering ecosystem (e.g. Numpy, Pandas). Strong command of Linux, containers (Docker), and infrastructure as code for cloud deployments (AWS preferred). Comfortable leading initiatives and mentoring others. Experience with: Large-scale data processing More ❯

Data Scientist, Machine Learning Engineer, ML Engineer, Data Science Engineer, High-Performance Engineering, Python, Data, Pandas, numpy, scikit-learn, pytorch - Oxford - up to 55K About the Role: Join an elite engineering organisation's Software Engineering & Data team, where you'll develop cutting-edge machine learning solutions that directly impact performance at the highest level of competition. This is a unique … degree in a relevant field for Data Science 2+ years development experience in Python and machine learning techniques (production or laboratory) Strong knowledge of Python data science packages: Pandas, numpy, scikit-learn, pytorch Experience with Machine Learning techniques: Neural Networks, XGBoost Understanding of pipelines and deployment technologies: Azure DevOps, Docker, GitHub Actions Good understanding of architecture and design patterns Excellent More ❯

development of junior team 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 tools: MLflow, Kubeflow, Azure ML Pipelines … and version control (e.g., Git). 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: MLflow, Kubeflow, Azure ML Pipelines More ❯

are looking for someone who gets their hands dirty with the data, produces actionable insights, and automates everything they can. WHAT YOU’LL DO Use SQL and Python (pandas, NumPy) daily to clean, join and transform data into analysis-ready tables. Build and maintain lightweight automated pipelines to refresh reports and validate data with minimal manual intervention. Create and update … Git) for reproducibility. WHAT WE’RE LOOKING FOR Technical Skills – Must Have Strong SQL : confident writing complex queries, joining large datasets, and optimising performance. Strong Python : comfortable with pandas, NumPy, and writing automation scripts. Looker (or similar BI tool) : able to create and maintain dashboards; happy to cross-train if experienced in Tableau or Power BI. Understanding of data validation More ❯

clear, actionable intelligence. 🔧 What You’ll Do Model Development: Design, implement, and maintain models for price dynamics, cross-commodity spreads, and exposure analytics using Python and modern numerical libraries (NumPy, Pandas, Pyomo, or similar). Data Integration: Build robust data-ingestion pipelines for high-frequency market and OTC price feeds. Ensure data quality, latency monitoring, and transformation into model-ready … validating analytics outputs, and aligning models with client risk methodologies. 🧠 What You’ll Bring 4–6 years’ experience in a quantitative, risk, or analytics engineering role Strong Python skills (NumPy, Pandas, Pyomo) and familiarity with data APIs (REST/WebSocket) Proven ability to model time-series and market relationships (regression, factor models, volatility, etc.) Experience with backend services (Flask/ More ❯

clear, actionable intelligence. 🔧 What You’ll Do Model Development: Design, implement, and maintain models for price dynamics, cross-commodity spreads, and exposure analytics using Python and modern numerical libraries (NumPy, Pandas, Pyomo, or similar). Data Integration: Build robust data-ingestion pipelines for high-frequency market and OTC price feeds. Ensure data quality, latency monitoring, and transformation into model-ready … validating analytics outputs, and aligning models with client risk methodologies. 🧠 What You’ll Bring 4–6 years’ experience in a quantitative, risk, or analytics engineering role Strong Python skills (NumPy, Pandas, Pyomo) and familiarity with data APIs (REST/WebSocket) Proven ability to model time-series and market relationships (regression, factor models, volatility, etc.) Experience with backend services (Flask/ More ❯

Overview We are seeking a Principal Research Scientist to join our Artist-First AI Music lab. Our team pioneers and advances state-of-the-art generative technologies for music that create breakthrough experiences for fans and artists. We invent entirely More ❯