4 of 4 MLflow Jobs in Newcastle upon Tyne

distributed PyTorch). Familiarity with big data tools (e.g., Spark, Hadoop, Beam). Understanding of NLP, computer vision, or time series analysis techniques. Knowledge of experiment tracking tools (e.g., MLflow, Weights & Biases). Experience with model explainability techniques (e.g., SHAP, LIME). Familiarity with reinforcement learning or generative AI models. Tools & Technologies: Languages: Python, SQL (optionally: Scala, Java for large … scale systems) Data Processing: Pandas, NumPy, Apache Spark, Beam Model Serving: TensorFlow Serving, TorchServe, FastAPI, Flask Experiment Tracking & Monitoring: MLflow, Neptune.ai, Weights & Biases #J-18808-Ljbffr More ❯

Bedrock, S3, EC2, Lambda, IAM, VPC, ECS/EKS. Proficiency in Infrastructure-as-Code using AWS CDK or CloudFormation. Experience implementing and scaling MLOps workflows with tools such as MLflow, SageMaker Pipelines. Proven experience building, containerising, and deploying using Docker and Kubernetes. Hands-on experience with CI/CD tools (GitHub Actions, CodePipeline, Jenkins) and version control using Git/ More ❯

in Infrastructure-as-Code practices using AWS CDK, CloudFormation, or Terraform in production environments. Proven track record designing and operationalised end-to-end MLOps pipelines with tools such as MLflow, SageMaker Pipelines, or equivalent frameworks. Extensive experience building and operating containerised applications using Docker and Kubernetes, including production-grade orchestration and monitoring. Deep experience with CI/CD best practices More ❯

use Python for model development and ensure models are production-ready Manage the end-to-end process of deploying models to production, ensuring scalability and reliability Utilize Azure, Databricks, MLFlow, Airflow, and Plotly Dash for deployment and visualization Apply domain knowledge in CPG pricing and promotion optimization Work closely with data scientists, engineers, and business stakeholders Mentor junior team members … and marketing optimization Proven expertise in Bayesian, causal inference, and econometric methods Strong proficiency in Python and experience deploying models to production Experience with cloud platforms, preferably Azure, Databricks, MLFlow, Airflow, and Plotly Dash Nice to have PhD in a relevant field Prior experience in the CPG industry, specifically in pricing and promotion optimization Our Benefits Include A competitive pension More ❯