1 to 25 of 51 Plotly Jobs in the UK

but would be great if you also have: •Experience with data visualisation tools such as Apache Superset, Jupytr or Power BI •Familiarity with visualisation libraries like D3.js, Chart.js or Plotly for building interactive dashboards. •Exposure to DevOps practices including CI/CD and infrastructure as code •Understanding of machine learning workflows or MLOps for deploying and monitoring models in production. More ❯

but would be great if you also have: •Experience with data visualisation tools such as Apache Superset, Jupytr or Power BI •Familiarity with visualisation libraries like D3.js, Chart.js or Plotly for building interactive dashboards. •Exposure to DevOps practices including CI/CD and infrastructure as code •Understanding of machine learning workflows or MLOps for deploying and monitoring models in production. More ❯

but would be great if you also have: •Experience with data visualisation tools such as Apache Superset, Jupytr or Power BI •Familiarity with visualisation libraries like D3.js, Chart.js or Plotly for building interactive dashboards. •Exposure to DevOps practices including CI/CD and infrastructure as code •Understanding of machine learning workflows or MLOps for deploying and monitoring models in production. More ❯

but would be great if you also have: •Experience with data visualisation tools such as Apache Superset, Jupytr or Power BI •Familiarity with visualisation libraries like D3.js, Chart.js or Plotly for building interactive dashboards. •Exposure to DevOps practices including CI/CD and infrastructure as code •Understanding of machine learning workflows or MLOps for deploying and monitoring models in production. More ❯

Proficiency in building data pipelines, ETL workflows, and collaborating with data engineers for scalable data solutions. Expertise in data visualization and storytelling using Tableau, Power BI, Matplotlib, Seaborn, or Plotly to present insights effectively. Strong knowledge of MLOps practices, including CI/CD pipelines, model deployment, monitoring, and lifecycle management. Ability to engage with business stakeholders, gather requirements, and deliver More ❯

Proficiency in building data pipelines, ETL workflows, and collaborating with data engineers for scalable data solutions. Expertise in data visualization and storytelling using Tableau, Power BI, Matplotlib, Seaborn, or Plotly to present insights effectively. Strong knowledge of MLOps practices, including CI/CD pipelines, model deployment, monitoring, and lifecycle management. Ability to engage with business stakeholders, gather requirements, and deliver More ❯

Proficiency in building data pipelines, ETL workflows, and collaborating with data engineers for scalable data solutions. Expertise in data visualization and storytelling using Tableau, Power BI, Matplotlib, Seaborn, or Plotly to present insights effectively. Strong knowledge of MLOps practices, including CI/CD pipelines, model deployment, monitoring, and lifecycle management. Ability to engage with business stakeholders, gather requirements, and deliver More ❯

emerging trends and technologies in the field of data science. Requirements Proven experience as a data scientist using Python and a range of libraries (Numpy, Pandas, Scikit-Learn, Matplotlib, Plotly etc.). Strong expertise in statistical modelling, machine learning, and data mining techniques. Data engineering (pipelines, databases, infrastructure), ideally with AWS experience would be an advantage. Experience with data analysis More ❯

Desirable Experience with issue and fault management systems. Knowledge and experience of how to integrate with and build OpenAPI/gRPC based systems. Experience building sophisticated plots/charting (Plotly, Matplotlib) and reporting systems (PowerBI). Experience of failure prediction/MTBF analysis. Experience with Manufacturing Resource Planning systems. Experience developing systems with Kafka and stream processing techniques. Experience with More ❯

Desirable Experience with issue and fault management systems. Knowledge and experience of how to integrate with and build OpenAPI/gRPC based systems. Experience building sophisticated plots/charting (Plotly, Matplotlib) and reporting systems (PowerBI). Experience of failure prediction/MTBF analysis. Experience with Manufacturing Resource Planning systems. Experience developing systems with Kafka and stream processing techniques. Experience with More ❯

etc. Skilled in data pipeline orchestration management libraries (e.g., Airflow, Prefect). Experience with cloud infrastructure (AWS, GCP, Azure). DevOps skills (CI/CD, containerisation). Familiarity with Plotly Dash for interactive data visualisations. You will play a pivotal role in supporting and scaling their data platform, ensuring seamless data pipeline orchestration, storage and compute optimization, as well as More ❯

etc. Skilled in data pipeline orchestration management libraries (e.g., Airflow, Prefect). Experience with cloud infrastructure (AWS, GCP, Azure). DevOps skills (CI/CD, containerisation). Familiarity with Plotly Dash for interactive data visualisations. You will play a pivotal role in supporting and scaling their data platform, ensuring seamless data pipeline orchestration, storage and compute optimization, as well as More ❯

Technical & Analytical Skills Hands-on experience with large datasets and data profiling. Proficiency in data tools: Power BI, Excel, SQL, Python, Databricks. Familiarity with tools like Great Expectations, Pandas, Plotly, or MS Power Automate is a plus. Able to work collaboratively and independently in a fast-paced environment. Ready to Apply? If you're excited by the opportunity to shape More ❯

Technical & Analytical Skills Hands-on experience with large datasets and data profiling. Proficiency in data tools: Power BI, Excel, SQL, Python, Databricks. Familiarity with tools like Great Expectations, Pandas, Plotly, or MS Power Automate is a plus. Able to work collaboratively and independently in a fast-paced environment. Ready to Apply? If you're excited by the opportunity to shape More ❯

Analytical Skills Hands-on experience with large data sets and data profiling. Proficiency in data tools: Power BI, Excel, SQL, Python, Databricks. Familiarity with tools like Great Expectations, Pandas, Plotly, or MS Power Automate is a plus. Able to work collaboratively and independently in a fast-paced environment. Ready to Apply? If you're excited by the opportunity to shape More ❯

Analytical Skills Hands-on experience with large data sets and data profiling. Proficiency in data tools: Power BI, Excel, SQL, Python, Databricks. Familiarity with tools like Great Expectations, Pandas, Plotly, or MS Power Automate is a plus. Able to work collaboratively and independently in a fast-paced environment. Ready to Apply? If you're excited by the opportunity to shape More ❯

applications. Key Responsibilities Build robust data pipelines and orchestration engines in AWS Integrate diverse datasets, including market, fundamental, and weather data Develop analytical and visualization tools (e.g., Dash/Plotly) Partner with analysts to design and implement statistical models Contribute to architectural design of scalable analytics systems Manage deployment and operationalization of workloads in AWS (S3, ECS, Postgres) Promote engineering More ❯

applications. Key Responsibilities Build robust data pipelines and orchestration engines in AWS Integrate diverse datasets, including market, fundamental, and weather data Develop analytical and visualization tools (e.g., Dash/Plotly) Partner with analysts to design and implement statistical models Contribute to architectural design of scalable analytics systems Manage deployment and operationalization of workloads in AWS (S3, ECS, Postgres) Promote engineering More ❯

applications. Key Responsibilities Build robust data pipelines and orchestration engines in AWS Integrate diverse datasets, including market, fundamental, and weather data Develop analytical and visualization tools (e.g., Dash/Plotly) Partner with analysts to design and implement statistical models Contribute to architectural design of scalable analytics systems Manage deployment and operationalization of workloads in AWS (S3, ECS, Postgres) Promote engineering More ❯

applications. Key Responsibilities Build robust data pipelines and orchestration engines in AWS Integrate diverse datasets, including market, fundamental, and weather data Develop analytical and visualization tools (e.g., Dash/Plotly) Partner with analysts to design and implement statistical models Contribute to architectural design of scalable analytics systems Manage deployment and operationalization of workloads in AWS (S3, ECS, Postgres) Promote engineering More ❯

applications. Key Responsibilities Build robust data pipelines and orchestration engines in AWS Integrate diverse datasets, including market, fundamental, and weather data Develop analytical and visualization tools (e.g., Dash/Plotly) Partner with analysts to design and implement statistical models Contribute to architectural design of scalable analytics systems Manage deployment and operationalization of workloads in AWS (S3, ECS, Postgres) Promote engineering More ❯

applications. Key Responsibilities Build robust data pipelines and orchestration engines in AWS Integrate diverse datasets, including market, fundamental, and weather data Develop analytical and visualization tools (e.g., Dash/Plotly) Partner with analysts to design and implement statistical models Contribute to architectural design of scalable analytics systems Manage deployment and operationalization of workloads in AWS (S3, ECS, Postgres) Promote engineering More ❯

levels) Extensive knowledge of Drug Discovery, Development/Manufacturing or similar Life Science domain Fluency in Python, Data Modelling, Engineering, Analysis and Visualisation (tabular & JSON, SQL, NoSQL, Ontologies, Streamlit, Plotly, Holoviews) A track record of architecting productionised scientific solutions , integrated with AI/ML and APIs for Biopharma end users Strong communication skills to engage across leadership, scientific and technical More ❯

levels) Extensive knowledge of Drug Discovery, Development/Manufacturing or similar Life Science domain Fluency in Python, Data Modelling, Engineering, Analysis and Visualisation (tabular & JSON, SQL, NoSQL, Ontologies, Streamlit, Plotly, Holoviews) A track record of architecting productionised scientific solutions , integrated with AI/ML and APIs for Biopharma end users Strong communication skills to engage across leadership, scientific and technical More ❯

and strong problem-solving abilities. Demonstrated ability to manage own workload and lead projects with a high degree of self-direction. Experience with data visualisation libraries (e.g., matplotlib, seaborn, plotly) and creating basic reports in BI tools like Tableau. More ❯