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 ❯
with 10 years, bachelor's with 8 years, master's with 6 years, or PhD with 4 years Proficiency in data science languages and tools (e.g., Python, R, SQL, Jupyter, Pandas, Scikit-learn) Experience with machine learning frameworks (e.g., TensorFlow, PyTorch) and big data platforms (e.g., Spark, Hadoop) Strong background in statistics, data modeling, and algorithm development Ability to explain More ❯
knowledge of React (not a frontend role, but an understanding of the stack is important) Hands-on experience with containerisation (Docker) and cloud deployment (Terraform, microservices, Azure) Exposure to Jupyter notebooks , and understanding of how machine learning models are developed and deployed Experience in fast-paced or start-up environments where you’ve contributed across the stack Background & Education Degree More ❯
knowledge of React (not a frontend role, but an understanding of the stack is important) Hands-on experience with containerisation (Docker) and cloud deployment (Terraform, microservices, Azure) Exposure to Jupyter notebooks , and understanding of how machine learning models are developed and deployed Experience in fast-paced or start-up environments where you’ve contributed across the stack Background & Education Degree More ❯
knowledge of React (not a frontend role, but an understanding of the stack is important) Hands-on experience with containerisation (Docker) and cloud deployment (Terraform, microservices, Azure) Exposure to Jupyter notebooks , and understanding of how machine learning models are developed and deployed Experience in fast-paced or start-up environments where you’ve contributed across the stack Background & Education Degree More ❯
london (city of london), south east england, united kingdom
Mentmore
knowledge of React (not a frontend role, but an understanding of the stack is important) Hands-on experience with containerisation (Docker) and cloud deployment (Terraform, microservices, Azure) Exposure to Jupyter notebooks , and understanding of how machine learning models are developed and deployed Experience in fast-paced or start-up environments where you’ve contributed across the stack Background & Education Degree More ❯
knowledge of React (not a frontend role, but an understanding of the stack is important) Hands-on experience with containerisation (Docker) and cloud deployment (Terraform, microservices, Azure) Exposure to Jupyter notebooks , and understanding of how machine learning models are developed and deployed Experience in fast-paced or start-up environments where you’ve contributed across the stack Background & Education Degree More ❯
learning models in production environments. API Development: An understanding of REST. Experience with Flask or FastAPI. Data Validation: Knowledge of Pydantic for data validation. Scripting and Prototyping: Use of Jupyter Notebooks for quick prototyping. DevSecOps Practices: Understanding of secure coding and automated testing. Experience with Pytest or a Python testing framework. You'll be able to be yourself; we'll More ❯
e.g. Postgres, Oracle, SQLite, and/or Arc SDE o Web: e.g API's, GeoJson, REST Demonstrated experience with two or more cloud based technologies. o e.g. Docker containers, Jupyter Hub, Zeppelin, Apache-Spark, Centos, Jenkins, GIT Domain knowledge/IC: o Background in intelligence, defense, international relations, or public administration multi-disciplines. Demonstrated familiarity with the US Intelligence Community 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 ❯
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 ❯
Services (S3, EKS, ECR, EMR, etc.) •Experience with containers and orchestration (e.g. Docker, Kubernetes) •Experience with Big Data processing technologies (Spark, Hadoop, Flink etc) •Experience with interactive notebooks (e.g. JupyterHub, Databricks) •Experience with Git Ops style automation •Experience with ix (e.g, Linux, BSD, etc.) tooling and scripting •Participated in projects that are based on data science methodologies, and/or 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. • Candidates require a TS to start. TS/SCI with Polygraph More ❯
like Apache Airflow, NiFi and Kafka Strong analytical and problem-solving skills Excellent communication and teamwork abilities Eagerness to learn and grow in a fast-paced environment Experience in Jupyter Notebooks, PostgreSQL. Experience with version control systems (e.g., Git) Desired Qualifications: Knowledge of data lake technologies and big data tools (e.g., Spark) Familiarity with containerization tools like Docker More ❯
taskings, or collection/processing workflows. Prior work with Sponsor data systems, applications, or database structures. Familiarity with Sponsor data handling procedures and clearance environments. Hands-on experience with Jupyter Notebooks, Visio, SharePoint, Confluence, or other visualization/documentation tools. Experience working with APIs, including integration and data extraction. Knowledge of version control systems such as GitHub. Proficiency in R More ❯
TDNAs, DSs, and fellow SMEs. SIGDEV or RF (HF, VHF, UHF, SATCOM) experience are nice to haves. You will need demonstrated experience with data processing, normalization, and exploratory analysis. Jupyter Notebooks & Python experience, data modeling experience leveraging various algorithms, and data visualization skills are required. You will need to have the capability to deliver presentations or briefings to a non More ❯
AI/ML/Data Science apprenticeship programme. Core Skills & Competencies Technical Skills Programming proficiency in Python and common ML libraries such as TensorFlow, PyTorch, or similar. Experience with Jupyter Notebooks and version control (Git/GitHub). Basic understanding of supervised/unsupervised learning, neural networks, or clustering. Analytical Abilities Ability to interpret data trends, visualize outputs, and debug More ❯
Mc Lean, Virginia, United States Hybrid / WFH Options
MITRE
machines). • Experience working with databases (e.g., PostgreSQL, Oracle, MySQL, MongoDB, Neo4J). • Experience using version control (e.g., Git, Mercurial, SVN) to support collaborative development. • Experience utilizing notebooks (e.g., Jupyter, R Markdown, Zeppelin). • Experience developing interactive data visualizations using open-source technologies (e.g., Angular, Vue, React, D3.js) or other frameworks (e.g., Shiny). Why Join MITRE? Why choose between More ❯
Cambridge, Cambridgeshire, United Kingdom Hybrid / WFH Options
Opus Recruitment Solutions Ltd
and model evaluation Requirements: 3+ years of experience in data science or ML, ideally in biotech or healthcare Strong Python programming skills and experience with ML libraries Familiarity with Jupyter , Pandas , NumPy , and MLFlow Experience working with clinical or biological datasets is a big plus Comfortable working in a fast-paced, research-driven environment Bonus Skills: Knowledge of genomics , bioinformatics More ❯
Cambridge, Cambridgeshire, England, United Kingdom Hybrid / WFH Options
Opus Recruitment Solutions Ltd
and model evaluation Requirements: 3+ years of experience in data science or ML, ideally in biotech or healthcare Strong Python programming skills and experience with ML libraries Familiarity with Jupyter , Pandas , NumPy , and MLFlow Experience working with clinical or biological datasets is a big plus Comfortable working in a fast-paced, research-driven environment Bonus Skills: Knowledge of genomics , bioinformatics More ❯
requirements: Bachelor's Degree Part time or full time: Full Time Flexibility option: High Co-Location (3-4 days on-site) Skills: Data Analytics Data Science Data Visualization GitLab Jupyter Notebooks Python and R Studio More ❯
requirements: Bachelor's Degree • Part time or full time: Full Time • Flexibility option: High Co-Location (3-4 days on-site) ,Skills: • Data Analytics • Data Science • Data Visualization • GitLab • Jupyter Notebooks • Python and R Studio More ❯
dissemination Demonstrated experience working with Sponsor business or mission data, Sponsor applications, or Sponsor database structures Experience with the Sponsor's data handling procedures Demonstrated visualization tools, such as Jupyter, Visio, SharePoint, or Confluence Proficiency with APIs Demonstrated experience using GitHub, or similar version control systems Experience using Python or R Able to utilize critical thinking and analytic judgements and More ❯
Good skills with Python & Jupyter, as well as HTML to help maintain previous web page build. Evaluate and help enhance content analytics for machine translation systems using modern methods. Evaluate Natural Language Processing software to see which works best on customer datasets. Play an integral role in the development of an ML ops framework for cyber incident detection. This is More ❯
