24 of 24 Jupyter Jobs in the UK excluding London

following database systems – DynamoDB, DocumentDB, MongoDB Demonstrated expertise in unit testing and tools – JUnit, Mockito, PyTest, Selenium. Strong working knowledge of the PyData stack – pandas, NumPy for data manipulation; Jupyter Notebooks for experimentation; matplotlib/Seaborn for basic visualisation. Experience with data analysis and troubleshooting data-related issues. Knowledge of design patterns and software architectures Familiarity with CI/CD … following database systems – DynamoDB, DocumentDB, MongoDB Demonstrated expertise in unit testing and tools – JUnit, Mockito, PyTest, Selenium. Strong working knowledge of the PyData stack – pandas, NumPy for data manipulation; Jupyter Notebooks for experimentation; matplotlib/Seaborn for basic visualisation. Experience with data analysis and troubleshooting data-related issues. Knowledge of design patterns and software architectures Familiarity with CI/CD More ❯

following database systems – DynamoDB, DocumentDB, MongoDB Demonstrated expertise in unit testing and tools – JUnit, Mockito, PyTest, Selenium. Strong working knowledge of the PyData stack – pandas, NumPy for data manipulation; Jupyter Notebooks for experimentation; matplotlib/Seaborn for basic visualisation. Experience with data analysis and troubleshooting data-related issues. Knowledge of design patterns and software architectures Familiarity with CI/CD 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 ❯

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 ❯

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 ❯

field. Proven experience in machine learning applications such as recommendations, segmentation, forecasting, and marketing spend optimisation. Proficiency in Python, SQL, and Git, with hands-on experience in tools like Jupyter notebooks, Pandas, and PyTorch. Expertise in cloud platforms (AWS, Databricks, Snowflake) and containerisation tools (Docker, Kubernetes). Strong leadership skills with experience mentoring and managing data science teams. Deep knowledge More ❯

based systems, git, and github for collaboration and review). Machine/Deep Learning development skills, including experiment tracking (we use AWS SageMaker, Hugging Face, transformers, PyTorch, scikit-learn, Jupyter, Weights & Biases). An understanding of Language Models, using and training/fine-tuning and a familiarity with industry-standard LM families. Master's degree or PhD in Computer Science More ❯

based systems, git, and github for collaboration and review). Machine/Deep Learning development skills, including experiment tracking (we use AWS SageMaker, Hugging Face, transformers, PyTorch, scikit-learn, Jupyter, Weights & Biases). An understanding of Language Models, using and training/fine-tuning and a familiarity with industry-standard LM families. Master's degree or PhD in Computer Science More ❯

and an eagerness to expand your skills. Strong foundation in math and statistics (Degree in Math, Statistics, Computer Science, or a related quantitative field). Familiarity with tools like Jupyter Notebooks or similar. Interest in working collaboratively with senior team members on data-driven solutions. Motivated, self-driven, and comfortable working in a dynamic environment. Proficiency in spoken and written More ❯

real business impact. What We’re Looking For A strong foundation in data structures, algorithms, data modelling, and software architecture. Solid hands- on experience in Python and its ecosystem ( Jupyter, Pandas, Scikit- learn, Matplotlib), and comfort working with SQL for data analysis. Experience with LangChain is a plus. Experience of delivering AI and ML- based products into production environments, with More ❯

and the Hadoop Ecosystem Edge technologies e.g. NGINX, HAProxy etc. Excellent knowledge of YAML or similar languages The following Technical Skills & Experience would be desirable for Data Devops Engineer: Jupyter Hub Awareness Minio or similar S3 storage technology Trino/Presto RabbitMQ or other common queue technology e.g. ActiveMQ NiFi Rego Familiarity with code development, shell-scripting in Python, Bash 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 ❯

large-scale analytics platform. Proficiency in Python or R, including libraries like Pandas. Experience working with BI tools such as Looker, Tableau, Power BI, or Mode. Confidence working in Jupyter or similar notebook environments. A solid grasp of ETL processes and associated best practices. Familiarity with Git, Agile workflows, and DevOps tooling is advantageous. Exposure to customer/product analytics 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) We’re also looking for people that More ❯

to join major project teams to provide data analysis expertise. Requirements Knowledge & Experience Strong background in data analysis, modelling, and visualisation. Expert in DAX, Python, and data notebooks (Databricks, Jupyter, or Azure Synapse). Proficient in Power BI and Excel. Familiar with Microsoft Data Lake and data modelling best practices. Proven experience managing data projects and stakeholder expectations. Strong ability … to tell stories with data Qualifications Certification in Data Analytics Technology (preferred) ITIL v3 Foundation (desirable) Technical Skills Power BI & DAX Jupyter or Azure Synapse Notebooks Databricks Microsoft Data Lake Python (or similar) What We Offer Competitive salary Flexible working Travel covered to any of our sites (subject to HMRC advisory rates) Extensive corporate benefits including, Private Medical, Pension More ❯

this role will be asked to: Lead high-impact projects throughout their lifecycle. Scope and stage projects with detailed milestones and delivery schedules. Use SQL and/or Python (Jupyter Notebooks) to prepare data, perform exploratory data analysis, and evaluate different modeling approaches. Engage in problem-solving and fault-finding, addressing data or approach issues as they arise. Investigate data More ❯

large-scale analytics platform. Proficiency in Python or R, including libraries like Pandas. Experience working with BI tools such as Looker, Tableau, Power BI, or Mode. Confidence working in Jupyter or similar notebook environments. A solid grasp of ETL processes and associated best practices. Familiarity with Git, Agile workflows, and DevOps tooling is advantageous. Exposure to customer/product analytics More ❯

This is a new position for a 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 solutions More ❯

This is a new position for a 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 solutions 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 ❯

experience at senior levels, managing teams of data consultants Delivery-focused mindset, providing value to clients Excellent stakeholder engagement skills, preferably in consulting Proficiency in Python Familiarity with Cloud, Jupyter, Computer Vision, NLP technologies is advantageous Ability to communicate complex technical issues to non-technical audiences Benefits Starting holiday entitlement of 25 days annually Flexible contributory pension with matching contributions 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 ❯

health, and availability of systems for TRE Workspace services ensuring minimal downtime and optimal user experience. 9. Support TRE Workspace services user requirements definition and tool deployment including RStudio, Jupyter Notebooks, Python, PostgreSQL and containerised services. 10. Manage and maintain the TRE service storage systems running a mixture of Dell PowerScale (Isilon), PowerStore, and PowerProtect. 11. Manage the Virtualisation servers More ❯

on solutions. Requirements 1-4 years of experience in a quantitative, analytics, or developer role within a financial institution or trading environment. Strong proficiency in Python (e.g., Pandas, NumPy, Jupyter) and experience building data pipelines , analytical tools , or dashboards . SQL experience is a plus. Proficiency in Excel and data visualization platforms such as Power BI, Tableau, or Plotly/ More ❯