4 of 4 Permanent Dataiku Jobs in the UK excluding London

/Architect Knowledge of Machine Learning and NLP unstructured data. Implemented ML platform in enterprise client experience of ML use-cases AIML Platforms: DataRobot, Dataiku, Anaconda, Sagemaker, Vertex etc. AIML Frameworks: MLFlow, KubeFlow, BentoML, TensorFlow etc. AIML Development: PyTorch, Jupyter Notebooks, XGBoost, Tensorflow etc. AIML Models: Linear/Logistic Regression More ❯

/ELT experience (SSIS packages 2005/2010, experience with "dbt" is ideal). Strong data interrogation and manipulation skills; experience with tools like DataIku, Informatica PowerCenter, or similar is advantageous. Understanding of data modeling techniques, particularly those suited to analytical data. What you'll get for this role: Our More ❯

they are expanding their Data Science function to extract actionable insights from customer data and optimize experiences for business growth. Responsibilities Data Analysis: Use Dataiku and other tools to clean, explore, and analyze customer data to uncover insights. Model Development: Build predictive models and machine learning algorithms to forecast customer … to improve engagement and loyalty. Requirements 1-2 years of experience in data analysis, statistical modeling, and machine learning. Proficiency with Python, and preferably Dataiku or similar platforms; with strong skills in R, or SQL. Excellent communication skills, able to present technical findings to non-technical stakeholders. Experience working with More ❯

alongside some of the industry’s top professionals and leveraging the very latest technology. You will be building the platform reporting capability (using the Dataiku APIs) to monitor the platform and support dashboards provided to platform governance forum and owning the platform configuration details, and how this is achieved in … Azure platforms and Linux VM builds • Hands on knowledge of Terraform and Ansible coding • Technical capability to support platform build and monitoring (configuration through Dataiku APIs) Further Responsibilities: • Bringing the ops team onboard at the appropriate time to manage the transition of the platform to run • Supporting the build out More ❯