24 of 24 Remote Jupyter Jobs in the UK

areas: Big Data Analytics (e.g. Google BigQuery/BigTable, Apache Spark), Parallel Computing (e.g. Apache Spark, Kubernetes, Databricks), Cloud Engineering (AWS, GCP, Azure), Spatial Query Optimisation, Data Storytelling with (Jupyter) Notebooks, Graph Computing, Microservices Architectures Modelling & Statistical Analysis experience, ideally customer related A university degree - numbers based, Computer Science or Geography Relevant industry sector knowledge ideal but not essential A More ❯

management readiness. Proven track record to take research from concept to business impact. Strong Python toolkit proficiency for Data Science, with experience in SQL and NoSQL databases. Familiarity with Jupyter Notebooks and Git version control. Expertise in working with large, sophisticated datasets and extracting actionable insights. Project management experience with tight deadlines. Ability to work independently and take ownership of More ❯

and interpreting large datasets. Ability to apply statistical techniques to validate models and algorithms. Data Manipulation & Analysis: Proficient in data manipulation and analysis using tools like Pandas, NumPy, and Jupyter Notebooks. Experience with data visualization tools such as Matplotlib, Seaborn, or Tableau to communicate insights effectively. Our offer: Cash: Depends on experience Equity : Generous equity package, on a standard vesting More ❯

healthcare/life science organization is considered an asset. Other skills we are searching for are: Programming Skills: Proficiency in Python, data analytics, deep learning (Scikit-learn, Pandas, PyTorch, Jupyter, pipelines), and practical knowledge of data tools like Databricks, Ray, Vector Databases, Kubernetes, and workflow scheduling tools such as Apache Airflow, Dagster, and Astronomer. GPU Computing: Familiarity with GPU computing More ❯

Playwright or similar testing frameworks. REST APIs: Strong understanding of integrating and working with RESTful services. Data Skills: Experience in data wrangling/analysis (e.g., using SQL or Python, Jupyter Notebook). Collaboration: Experience working in an Agile environment (Scrum/Kanban). Problem-Solving: Strong analytical and troubleshooting skills. Desirable Skills Familiarity with state management libraries (MobX, Redux). More ❯

high-performance data platforms Experience with data engineering Our current tech stack: Frontend Technologies - React, Material UI Backend & Application Frameworks - Go, Node, RabbitMQ Databases - Postgres, MariaDB, MongoDB, ClickHouse, Redis, JupyterLab, Metabase Data Engineering & Orchestration - Python, Airflow, Kafka, DataHub Cloud & Infrastructure - AWS, K8s DevOps & CI/CD - Git, GitLab CI, DBS, Grafana, ELK, Prometheus, Docker, Docker Compose Why join us? Shape More ❯

the-art research areas (e.g., NLP, Transfer Learning, etc.), and modern Deep Learning algorithms (e.g., BERT, LSTM, etc.) Solid knowledge of SQL and Python's ecosystem for data analysis (Jupyter, Pandas, Scikit Learn, Matplotlib, etc.) Understanding of model evaluation, data pre-processing techniques, such as standardisation, normalisation, and handling missing data Solid understanding of summary, robust, and nonparametric statistics; hypothesis More ❯

and other Qualtrics products Acquire data from customers (usually sftp or cloud storage APIs) Validate data with exceptional detail orientation (including audio data) Perform data transformations (using Python and Jupyter Notebooks) Load the data via APIs or pre-built Discover connectors Advise our Sales Engineers and customers as needed on the data, integrations, architecture, best practices, etc. Build new AWS 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 ❯

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 ❯

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 ❯

DevOps Methodologies: experience of working on Agile projects Good understanding of SOA/Microservices based architectures Good understanding of OOP, SOLID principles and software design patterns Knowledge of Python (Jupyter notebooks) Benefits offered Bonus, Pension (9% non-contributory plus additional matched contributions), 4 x Life Assurance, Group Income Protection, Season Ticket Loan, GAYE, BUPA Private Medical, Private GP, Travel Insurance More ❯

Big Data solutions (ecosystems) and technologies such as: Apache Spark and the Hadoop Ecosystem Excellent knowledge of YAML or similar languages The following Technical Skills & Experience would be desirable: Jupyter Hub Awareness RabbitMQ or other common queue technology e.g. ActiveMQ NiFi Rego Familiarity with code development, shell-scripting in Python, Bash etc. To apply for this DV Cleared DevOps Engineer More ❯

and Experience required Extensive background in delivering production-grade, data-centric applications for quantitative trading and analytics, with demonstrated expertise in: The python data engineering stack (Polars, Parquet, FastAPI, Jupyter, Airflow, Streamlit, Ray) High-performance data stores and query engines (Starburst, Snowflake) Real-time streaming analytics technologies (Kafka, Flink) Cloud container technologies (AWS, Azure, GCP, Docker, Kubernetes) Proven success in More ❯

building machine learning models for marketing use cases ADVANCED skills in segmentation, recommendation, campaign optimisation, forecasting, etc. Proficiency in Python, SQL, Bash, and Git. Familiarity with tools like Pandas, Jupyter notebooks, PyTorch. Experience with advanced techniques including CausalAI, NLP, RNNs, GraphAI, GenAI, and Computer Vision. Solid understanding of experimentation methods including A/B testing. Strong communication skills and ability More ❯

business stakeholders to understand business requirements and develop solutions that meet those requirements. Writing clean and efficient code, and implementing best practices for code optimization, testing, and deployment through Jupyter Notebooks and/or Google Colab. Conducting research and staying up-to-date with the latest AI and Machine Learning techniques, and incorporating new ideas and methods into existing systems. More ❯

the tools work and how we can use software development to fulfil engineering project requirements efficiently What technology do we use? JavaScript, Vue, Observable, Nuxt, TypeScript, Tailwind Python, FastAPI, Jupyter, JupyterHub, Voila SQL Git, GitHub Ansible Revit, Revit API, pyRevit IES, IES Python API Rhino, Grasshopper and the supporting ecosystem ABOUT YOU We value people who can think analytically and More ❯

Strong problem-solving and analytical skills Experience in support roles, incident triage, and handling (SLAs) Linux system administration basics, Bash scripting, environment variables Experience with browser-based IDEs like Jupyter Notebooks Familiarity with Agile methodologies (SAFE, Scrum, JIRA) Languages and Frameworks: JSON YAML Python (advanced proficiency, Pydantic bonus) SQL PySpark Delta Lake Bash Git Markdown Scala (bonus) Azure SQL Server More ❯

/or Perl Experience with Atlassian tool suite (e.g., Confluence, JIRA, etc.) Experience working in a geographically diverse team and matrix organization Any experience of Flask Web Framework or Jupyter Notebooks is desirable. Security clearance: You must be able to gain and maintain the highest level of UK Government security clearance. Our requirement team is on hand to answer any More ❯

driven methods. Design and execute structured threat hunting playbooks based on known TTPs (e.g., MITRE ATT&CK) and emerging threats, enabling consistent, repeatable hunts. Develop code-based playbooks (e.g., Jupyter Notebooks or Python scripts) that integrate threat intelligence, log sources, and detection logic-making them reusable by SOC, IR, and detection engineering teams. Collaborate with detection engineers to convert hunt … tools (e.g., Splunk, ELK), threat intelligence platforms (e.g., MISP, ThreatConnect), and endpoint detection tools (e.g., EDR/XDR). Experience building code-based hunting or automation playbooks (e.g., Python, Jupyter Notebooks, PowerShell ). Familiarity with scripting or automation for IOC enrichment, API integrations , and telemetry analysis. Ability to correlate multiple data sources and pivot across logs, alerts, and CTI for More ❯

SQL, Python and other data analysis tools. Who you are You will have strong analytical skills. You will have a basic understanding and experience of SQL and Python (including Jupyter Notebooks) for data analysis, manipulation and reporting. You will have basic experience with data visualization tools e.g. Tableau Desktop, PowerBI or similar. You will have a basic knowledge of Mobile More ❯

pipelines Techniques and tools for sanitizing data prior to use Azure data certifications Azure Synapse/Fabric: Synapse-link, Fabric Link, on-demand SQL engine Use of python in Jupyter notebooks for data processing Azure storage technologies and cost/performance characteristics Power BI, DAX, data flows Data Governance tools (e.g. Microsoft Purview) Call Experis IT asap on (phone number More ❯

techniques, and procedures (TTPs) mapped to the cyber kill chain and apply them to incident response analysis. Create hypotheses for proactive threat hunts and utilize tools like MISP and Jupyter Notebook for effective hunts. Process Development Develop playbooks and templates for incident management. Identify and address gaps in current processes, collaborate with other teams, and build streamlined cross-departmental processes. More ❯

with fault-tolerant ETL pipelines and data governance tools. ?? Bonus Points For: Experience migrating from platforms like Salesforce, Raisers Edge, Hubspot, etc. Familiarity with Azure Synapse, Power BI, Python (Jupyter), and Microsoft Purview. Azure Data certifications and a passion for innovation in data engineering. ?? The Offer: Starting Salary : £80,000+ per annum Benefits : Excellent package including remote working, training, and More ❯