3 of 3 Azure Machine Learning Jobs in Hampshire

hands-on, working with our Senior Staff Engineer to provide technical leadership to the team. You'll have great technical understanding of various machine learning approaches, which would include regression methods, probabilistic pricing models, tree based gradient boosting approaches, information theory, neural networks, transfer learning … our experienced MLOps and Data Engineering teams, allowing you more time to focus on model development, research and the implementation of new novel machine learning approaches. Key Responsibilities: Lead the Valuations & Pricing Team ensuring the on-going improvements in KPIs associated with the team's products. … agreeing priorities with stakeholders and the Head of Data Science and enable the team to deliver against agreed targets. Work closely with the Machine Learning Operations team to deliver products to end users, leveraging and contributing to established engineering standards and best practices. Work collaboratively with More ❯

the ground up - clean slate. Big purpose: Your work directly improves access to information for underserved communities. Modern stack: Microservices, Python, FastAPI, React, Azure, AI/ML - all in play. Ownership: Shape the architecture and engineering culture from day one. Hybrid freedom: Mostly remote, with occasional travel … accessibility - especially for overlooked communities Our tech stack Frontend & Backend React, Nuxt, JavaScript/TypeScript FastAPI, Node.js REST, CRUD, GraphQL, WebSockets Cloud & Infra Azure (core platform) Microservices architecture CI/CD via GitHub Actions & Azure DevOps Infrastructure as Code: Terraform, Bicep, Pulumi, etc. Databases … Messaging PostgreSQL/MySQL (relational) MongoDB, Redis (NoSQL) Azure Fabric, Data Factory Azure Event Hubs, Kusto QL Tooling & Monitoring Datadog, CircleCI, Prometheus, Grafana Strong focus on observability and fault tolerance Why Join? Mission-driven: Make a meaningful impact on digital accessibility Equity potential if More ❯

the ground up - clean slate. Big purpose: Your work directly improves access to information for underserved communities. Modern stack: Microservices, Python, FastAPI, React, Azure, AI/ML - all in play. Ownership: Shape the architecture and engineering culture from day one. Hybrid freedom: Mostly remote, with occasional travel … in cross-functional teams Tech You'll Work With ML & Data Science Python (primary language) TensorFlow, PyTorch, or Keras NumPy, pandas Data pipelines (Azure Data Factory, Airflow, etc.) Applied ML: NLP, CV, transformers, GANs, time series, etc. Engineering & Cloud Azure (or similar cloud platforms … AWS, GCP) Microservices and event-driven architecture Infrastructure as Code (Terraform, Bicep, Pulumi) DevOps/MLOps: CI/CD workflows, monitoring (Grafana, Prometheus, Azure Monitor) Bonus: Exposure to NVIDIA ML stack, cuDF/cuPy, AR/VR or neuromorphic computing What You'll Get Competitive salary + More ❯