25 of 25 Jupyter Jobs

that serve real users at scale without incurring technical debt. Proficiency in statistical methods and experience following CRISP-DM data science lifecycle. Expertise taking projects from ideation or experimental Jupyter notebooks to full production deployment. Strong programming skills in Python, with familiarity in ML libraries/frameworks such as TensorFlow, PyTorch, and Scikit-learn. Experience with MLOps practices including model More ❯

algorithm development; experienced in building robust, scalable solutions for operational deployment. Hands-on experience with machine learning frameworks (TensorFlow, PyTorch, scikit-learn) and tools for model development and operationalization (Jupyter, MLflow, AWS SageMaker) in production environments. Experienced working in Linux-based and hybrid cloud/on-prem infrastructures, deploying and maintaining AI/ML solutions in secure, production-grade environments More ❯

language processing solutions. TECHNICAL SKILLS: AZURE IS A MUST HAVE Methodologies: Spiral, Agile, Waterfall, Lean. Programming Language: C++, Python, Shell, SQL, R. IDE Tools: PyCharm, RStudio, Visual Studio Code, Jupyter Notebook, Google Collab, Navicat. ML Frameworks: Transformers, Scikit-Learn, Keras, TensorFlow, PyTorch, ONNX, NLTK, OpenAI, langchain, llama-index,kore.ai. DL Architectures: LLM, ANN, CNN, R-CNN, RNN, GRU, LSTM, Transformers More ❯

experience with tree-based algorithms (XGBoost, LightGBM) and other ML methods Solid grasp of statistics, probability, and applied maths Proficiency in SQL , familiarity with NoSQL Comfortable using Git and Jupyter notebooks A practical, problem-solving mindset with a focus on clean, reliable delivery Nice to have: Experience with R or other statistical tools Exposure to model deployment/MLOps environments More ❯

experience with tree-based algorithms (XGBoost, LightGBM) and other ML methods Solid grasp of statistics, probability, and applied maths Proficiency in SQL , familiarity with NoSQL Comfortable using Git and Jupyter notebooks A practical, problem-solving mindset with a focus on clean, reliable delivery Nice to have: Experience with R or other statistical tools Exposure to model deployment/MLOps environments More ❯

based AI pipelines, deploy them into cloud and edge environments, and own the infrastructure that keeps them secure, scalable, and cost-efficient. You will be as comfortable in a Jupyter Notebook as you are in a Terraform config, with the ability to turn research ideas into production systems that run reliably in constrained environments. Key Responsibilities AI & Agentic Development - Architect More ❯

based AI pipelines, deploy them into cloud and edge environments, and own the infrastructure that keeps them secure, scalable, and cost-efficient. You will be as comfortable in a Jupyter Notebook as you are in a Terraform config, with the ability to turn research ideas into production systems that run reliably in constrained environments. Key Responsibilities AI & Agentic Development - Architect More ❯

have : Experience with Python Experience with JavaFX Experience with JavaScript Experience with Bash Experience with Perl Experience with XML Experience with Eclipse Experience with Visual Studio Code Experience with Jupyter Notebook Experience with OSGi Experience with Google Guice Experience with Unit testing Experience with JUnit Experience with Automated Testing Experience with Squish Experience with Jenkins Experience with Dev Ops Experience More ❯

issues in live production environments. We’re looking for individuals with: Experience: Proven background as a Machine Learning Engineer. Technical Skills: Strong in SQL and Python (Pandas, Scikit-learn, Jupyter, Matplotlib). Data transformation & manipulation : experience with Airflow, DBT and Kubeflow Cloud: Experience with GCP and Vertex AI (developing ML services). Expertise: Solid understanding of computer science fundamentals and More ❯

issues in live production environments. We're looking for individuals with: Experience: Proven background as a Machine Learning Engineer. Technical Skills: Strong in SQL and Python (Pandas, Scikit-learn, Jupyter, Matplotlib). Data transformation & manipulation : experience with Airflow, DBT and Kubeflow Cloud: Experience with GCP and Vertex AI (developing ML services). Expertise: Solid understanding of computer science fundamentals and More ❯

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., regression, classification, clustering, time-series More ❯

reasoning, autonomy, and reliability Work hands-on with Python , LLMs , and LLaMA models , running experiments and optimising performance Be responsible for procuring and managing your own coding environment (e.g., Jupyter Notebook , Google Colab ) Key Requirements: 4+ years’ experience in Machine Learning/AI (LLMs, data mining, recommendation systems, or pattern recognition) Proven hands-on experience with LLM agents and generative More ❯

Collaborate with Research Teams – Translate experimental findings into production-grade systems that extend the autonomy and reliability of agents. Run Experiments End-to-End – Own your compute environment (e.g. Jupyter, Colab, Databricks) and iterate on large-scale LLM training and evaluation. What You’ll Bring: 4+ years’ experience in Machine Learning or AI , with exposure to LLM agent systems , tool More ❯

Collaborate with Research Teams – Translate experimental findings into production-grade systems that extend the autonomy and reliability of agents. Run Experiments End-to-End – Own your compute environment (e.g. Jupyter, Colab, Databricks) and iterate on large-scale LLM training and evaluation. What You’ll Bring: 4+ years’ experience in Machine Learning or AI , with exposure to LLM agent systems , tool More ❯

cutting-edge ML technology across the business. Machine Learning Engineer, key skills: Significant experience working as a Machine Learning Engineer Solid knowledge of SQLandPython's ecosystem for data analysis (Jupyter, Pandas, Scikit Learn, Matplotlib). GCP, VertexAI experience is desirable (developing GCP machine learning services) Timeseries forecasting Solid understanding of computer science fundamentals, including data structures, algorithms, data modelling and More ❯

production. Requirements: Experience in a client-facing technical role (Solutions Engineer, AI Consultant, or similar) Strong Python skills and experience with LLMs/LangChain Confident building quick prototypes (Streamlit, Jupyter, etc.) Able to bridge business needs and technical delivery Startup mindset: fast-moving, collaborative, hands-on Bonus: experience in finance, legal, or insurance; Azure exposure; ISO 27001 familiarity This is More ❯

a PostDoc in Chemical Engineering, Chemistry, or Physics. You are fluent in Python programming and using AI tools in Chemical Engineering, Chemistry, and Physics. You have experience in using Jupyter Notebook or Google Colab. Must be able to commit to at least 5-6 hours a week. You have a lot of patience and a passion for working with kids. More ❯

Python data libraries (Pandas, NumPy) (preferably) from the Trading world. They also are on the look out for candidates who: Have deep familiarity with Python data ecosystem Understanding of Jupyter notebooks Exposure to machine learning libraries like PyTorch, XGBoost and JAX Understanding of crypto or traditional financial markets Strong API design and documentation skills What do you get in return More ❯

Python data libraries (Pandas, NumPy) (preferably) from the Trading world. They also are on the look out for candidates who: Have deep familiarity with Python data ecosystem Understanding of Jupyter notebooks Exposure to machine learning libraries like PyTorch, XGBoost and JAX Understanding of crypto or traditional financial markets Strong API design and documentation skills What do you get in return More ❯

OpenShift SME Location: Boston, MA Duration: 6 Months Job Description Job Summary: We are seeking a highly skilled Cloud Architect with deep expertise in Red Hat OpenShift, Kubernetes, and JupyterHub administration. This role requires both architectural vision and hands-on experience to design, deploy, and manage scalable, secure, and multi-tenant Quant platforms in a hybrid or cloud-native environment. … You will be the subject matter expert (SME) for the Jupyter Notebook ecosystem integrated into OpenShift and will collaborate with DevOps, data science, security, and infrastructure teams to deliver robust solutions for interactive computing, ML workflows, and data exploration at enterprise scale. Key Responsibilities: -OpenShift/Kubernetes Administration Design and manage highly available OpenShift clusters (on-premises or cloud-managed … StatefulSets, PVCs, NetworkPolicies, etc Implement role-based access control (RBAC), service accounts, and admission policies Monitor cluster health and performance using tools like Prometheus, Grafana, and ELK/Loki -JupyterHub/Jupyter Notebook Expertise Deploy, configure, and scale JupyterHub for multi-tenant use on Kubernetes/OpenShift Integrate JupyterHub with enterprise authentication (OAuth, SAML, LDAP) Manage persistent storage (PVCs) for More ❯

team. Skills: • 13 years of experience. • HDFS, Hive, S3, ADLS, Spark, Confluent Kafka, Spark Streaming, Databricks, Git, CICD, Big query, Python, SQL, Unix shell scripting, RDBMS, ETL, (ETL), Spyder, Jupyter Notebook, Salesforce. TRIGYN IS AN EQUAL OPPORTUNITY EMPLOYER About Trigyn: Trigyn is an IT Services Company that has been in business for 30 years with more than 1,500 resources More ❯

solutions to customer problems. Develop software targeting a range of areas from bare-metal MCU, signal processing, Embedded Linux, GUI development on Windows, Linux and mobile; data analytics using Jupyter notebooks. Program in a range of languages appropriate to the solution ranging from Rust, C/C++ to Python and Web Development frameworks. Work/interact with FPGAs, electronic design … and Design Patterns + Experience of software testing and design for test Desirable: + GUI development frameworks such as eGUI, GTK. Tauri. + Yocto, Petalinux and uBoot. + Python, Jupyter Notebooks or Matlab. + Web Development languages (HTML, Javascript, Typescript, React). + IOS/Android development. + Communications protocols - TCP, QUIC, WiFi. + GNU Radio and Software Defined Radios. More ❯

workflows (preferably using Airflow) Hands-on experience with building data pipelines in a programming language like Python Hands-on experience with building and maintaining Tableau dashboards and/or Jupyter reports Working understanding of Hadoop and Big data analytics Ability to understand the needs of and collaborate with stakeholders from analytics and business teams Education : Bachelors or Masters degree in … in the field of data engineering or business intelligence/analytics Required Skills: PYTHON HIVE ETL BIG DATA ANALYTICS DATA WAREHOUSE DESIGN/ARCHITECTURE Tableau dashboards and/or Jupyter reports ENGINEER DATA VISUALIZATION AWS Tableau, D3, or Plotly node.js or flask apps Preferred: Airflow More ❯

solutions to customer problems. Develop software targeting a range of areas from bare-metal MCU, signal processing, Embedded Linux, GUI development on Windows, Linux and mobile; data analytics using Jupyter notebooks. Program in a range of languages appropriate to the solution ranging from Rust, C/C++ to Python and Web Development frameworks. Work/interact with FPGAs, electronic design … for test Desirable: Experience in the Defence/Aerospace or safety regulated environment would be advantageous. GUI development frameworks such as eGUI, GTK. Tauri. Yocto, Petalinux and uBoot. Python, Jupyter Notebooks or Matlab. Web Development languages (HTML, Javascript, Typescript, React). IOS/Android development. Communications protocols - TCP, QUIC, WiFi. GNU Radio and Software Defined Radios. FPGAs and Exposure to More ❯

This is a new position for a Junior Data Scientist with a global, data-driven company with cutting-edge technology who leverage data to serve as a true market differentiator. The focus of this role is to deliver data science More ❯