8 of 8 AutoML Jobs in England

Python skills, including experience with relevant data libraries. Cloud engineering experience, particularly with AWS and Databricks.Exposure to GenAI/NLP, MLflow, Jenkins, workflow automation, AutoML, unit testing, and model explainability is a plus What You'll Do: As a Machine Learning Engineer, you will be a pivotal part of our More ❯

skills, including experience with relevant data libraries. Cloud engineering experience, particularly with AWS and Databricks. Exposure to GenAI/NLP, MLflow, Jenkins, workflow automation, AutoML, unit testing, and model. What You'll Do: As a Machine Learning Engineer, you will be a pivotal part of our team, focusing on: Experienced More ❯

expertise in Power BI, including DAX, Power Query (M), and Modelling. Experience using AI/ML tools such as Python, Azure Machine Learning, or AutoML platforms. Strong ability to engage with stakeholders, gathering requirements and translating them into effective technical solutions. Excellent communication skills, with the ability to present technical More ❯

expertise in Power BI, including DAX, Power Query (M), and Modelling. Experience using AI/ML tools such as Python, Azure Machine Learning, or AutoML platforms. Strong ability to engage with stakeholders, gathering requirements and translating them into effective technical solutions. Excellent communication skills, with the ability to present technical More ❯

best practices . Prior experience with cloud-based lakehouse implementation . Experience with machine learning (ML) and AI frameworks, particularly within Databricks (e.g., MLflow, AutoML, or PyTorch/TensorFlow). Understanding of AI-driven analytics and predictive modeling to enhance BI solutions. Think you can make a difference? WE ARE More ❯

or Dask. Strong in Python, Scala, C# or Java, cloud SDKs and APIs. AI/ML expertise for pipeline efficiency, familiar with TensorFlow, PyTorch, AutoML, Python/R, and MLOps (MLflow, Kubeflow). Solid in DevOps, CI/CD automation with Bitbucket Pipelines, Azure DevOps, GitHub. Automate deployment of data More ❯

large-scale data processing. You will demonstrate model training together with hyper-parameter tuning (Random Grid-Search with time constraint) of various algorithms using AutoML-training meta model combining different algorithms. You will demonstrate target encoding by using Bullisher API documentation, the dashboard, analytics, configuration, and application health. We are More ❯

on Vertex AI and other AI/ML offerings. Vertex AI: Expertise in building, deploying, and scaling machine learning models with Vertex AI, including AutoML, custom training, and pre-trained models. Understanding of Vertex AI's role in enabling generative AI solutions. GCP AI/ML Services: Knowledge of other More ❯