22 of 22 Remote Permanent 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 ❯

Must be willing to achieve required skill certification promptly. Prefer current DoD IAT II or higher certification. Willingness to do a programming challenge during the interview process. Experience with Jupyter Notebooks, Python Data Science Libraries. Experience with ML-OPS and related tools (e.g., MLFLOW, Sagemaker, Bedrock) and ability to build interactive, insightful dashboards for monitoring ML models. Place of Performance More ❯

to Have (But Not Required): Experience from a university project, hackathon, or internship involving AI or machine learning Understanding of neural networks, NLP, or computer vision concepts Experience using Jupyter notebooks, Git, or cloud platforms (AWS, GCP, Azure) Knowledge of SQL or data wrangling techniques What You’ll Gain Real-World Experience : Work on live AI projects with real business More ❯

to Have (But Not Required): Experience from a university project, hackathon, or internship involving AI or machine learning Understanding of neural networks, NLP, or computer vision concepts Experience using Jupyter notebooks, Git, or cloud platforms (AWS, GCP, Azure) Knowledge of SQL or data wrangling techniques What You’ll Gain Real-World Experience : Work on live AI projects with real business More ❯

to Have (But Not Required): Experience from a university project, hackathon, or internship involving AI or machine learning Understanding of neural networks, NLP, or computer vision concepts Experience using Jupyter notebooks, Git, or cloud platforms (AWS, GCP, Azure) Knowledge of SQL or data wrangling techniques What You’ll Gain Real-World Experience : Work on live AI projects with real business More ❯

to Have (But Not Required): Experience from a university project, hackathon, or internship involving AI or machine learning Understanding of neural networks, NLP, or computer vision concepts Experience using Jupyter notebooks, Git, or cloud platforms (AWS, GCP, Azure) Knowledge of SQL or data wrangling techniques What You’ll Gain Real-World Experience : Work on live AI projects with real business More ❯

to Have (But Not Required): Experience from a university project, hackathon, or internship involving AI or machine learning Understanding of neural networks, NLP, or computer vision concepts Experience using Jupyter notebooks, Git, or cloud platforms (AWS, GCP, Azure) Knowledge of SQL or data wrangling techniques What You’ll Gain Real-World Experience : Work on live AI projects with real business More ❯

to Have (But Not Required): Experience from a university project, hackathon, or internship involving AI or machine learning Understanding of neural networks, NLP, or computer vision concepts Experience using Jupyter notebooks, Git, or cloud platforms (AWS, GCP, Azure) Knowledge of SQL or data wrangling techniques What You’ll Gain Real-World Experience : Work on live AI projects with real business More ❯

learn Solid understanding of ML workflows: data cleaning, model development, tuning, evaluation Familiar with model deployment, API development, or real-world ML integration Experience with tools like Google Colab, Jupyter, and cloud ML platforms Strong analytical, problem-solving, and communication skills Must be based in the UK and open to remote collaboration across time zones Nice to Have Experience with More ❯

Science development experience using Python • Proficiency in data science, machine learning, and analytics, including statistical data analysis, model and feature evaluations. • Strong proficiency in numpy & pandas. • Demonstrated skills with Jupyter Notebook or comparable environments • Practical experience in solving complex problems in an applied environment, and proficiency in critical thinking. Dod Secret or higher preferred More ❯

and the intel cycle. Familiarity and experience with the Department of Homeland Security (DHS). Ability, openness, and eagerness to learn. Skills: Data Analytics Data Science Data Visualization GitLab Jupyter Notebooks Python and R Studio Clearance: Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information. Compensation and Benefits More ❯

Participate in the development of strategies and policies related to crime prevention and detection. Assist in preparing reports and presentations for senior management and other stakeholders. Position Requirements: Python (Jupyter Notebook) AI/ML models for NLP Entity Resolution Link Analysis Graph data science and Neo4j for fraud detection and AML Data visualization and modeling Clearance Required: Current Secret required More ❯

Python) Start-up/Scale-up Experience Strong cloud skills (AWS, GCP, Azure) and containerisation (Docker, Kubernetes) Experience in automating deployments and orchestrating cloud environments Nice to have: Python (Jupyter, PyTorch), monitoring tools (Prometheus, Grafana), cloud databases (RDS, Aurora, Spanner), CI/CD tools (CircleCI), and data visualisation experience. This is a unique opportunity to join a visionary team redefining More ❯

best practices . Apply modern software engineering standards including testing, version control, and CI/CD pipelines. Key Skills: Proven experience in Python programming for data analysis (pandas, numpy, Jupyter). Strong object-oriented programming and design pattern knowledge. Experience with SQL and relational databases. Familiarity with data visualisation tools (e.g., Plotly Dash, Power BI). Understanding of software development More ❯

best practices . Apply modern software engineering standards including testing, version control, and CI/CD pipelines. Key Skills: Proven experience in Python programming for data analysis (pandas, numpy, Jupyter). Strong object-oriented programming and design pattern knowledge. Experience with SQL and relational databases. Familiarity with data visualisation tools (e.g., Plotly Dash, Power BI). Understanding of software development More ❯

best practices . Apply modern software engineering standards including testing, version control, and CI/CD pipelines. Key Skills: Proven experience in Python programming for data analysis (pandas, numpy, Jupyter). Strong object-oriented programming and design pattern knowledge. Experience with SQL and relational databases. Familiarity with data visualisation tools (e.g., Plotly Dash, Power BI). Understanding of software development 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 ❯

good understanding of various operating systems, network devices, and cybersecurity devices. An understanding of data cleansing and profiling An understanding of data schema, model, and ontology concepts Experience with Jupyter notebooks or similar AI/ML frameworks. Good communication skills Experience with Zoom/Teams/Meet style team meetings More ❯

to detail, natural curiosity, and ability to problem-solve creatively Desirable Requirements Previous experience in a subscriptions business Familiarity with statistical languages (e.g. Python r R) and IDEs like Jupyter Notebook or PyCharm Experience with quantitative techniques including regression, classification, and clustering What we offer: When you join Jagex you can look forward to a generous Perks & Benefits package including More ❯

Overview Senior Data Science Developer Location: Annapolis Junction, MD (Hybrid) Clearance: Public Trust (Level 4; High-Risk) Integral Federal is looking to hire a Senior Data Science Developer to support the Transportation Security Administration (TSA) Performance Engineering Analytics (PEA) program. More ❯

writing and executing software test procedures • Linux/Redhat experience • Experience installing and configuring software • Experience with trouble shooting (defect identification, root cause analysis) Desired Skills: • Writing and executing jupyter notebooks • Writing and executing bash scripts in linux • Robot framework automated testing tools • Demonstrating work to the customer/peers • CI/CD pipeline experience Security Clearance Statement: This position More ❯

Overview Senior Application Support Engineer Location: Annapolis Junction, MD (Hybrid) Clearance: Public Trust (Level 4; High-Risk) Integral Federal is looking to hire a Senior Application Support Engineer to support the Transportation Security Administration (TSA) Performance Engineering Analytics (PEA) program. More ❯