3 of 3 Permanent Azure Machine Learning Jobs in Birmingham

We’re looking for a Senior or Lead Machine Learning Engineer to join a growing data science team, focused on delivering production-ready ML solutions and building reliable cloud infrastructure on Azure. Responsibilities: Lead ML projects from design to production deployment Build and manage data pipelines … and cloud-based infrastructure Deploy and monitor data science models in Azure environments Improve CI/CD pipelines and model monitoring frameworks Mentor junior engineers and collaborate across data and IT teams Write clean, high-quality, testable code and participate in code reviews Skills & Experience: Strong Python … expertise (Pandas, scikit-learn) and solid SQL skills Hands-on experience with Azure services (VMs, Web Apps, Storage, Azure ML) Knowledge of DevOps tools: GitHub Actions, Terraform, Docker, Kubernetes, Airflow Understanding of software engineering best practices and cloud security Exposure to ML model lifecycle More ❯

Scientist Salary: £50,000 - £57,000 Location: Birmingham - Hybrid working 1-2 days a month on site About You: Technical Skills: Expertise in machine learning (supervised, unsupervised, reinforcement learning). Strong proficiency in Databricks, Azure ML, Azure Data … Factory, and SQL. Hands-on experience in Python, R, and experience with deep learning frameworks such as TensorFlow, PyTorch, or Scikit-learn. Expert-level experience in Power BI for advanced visualisations, ML model interpretation, and KPI tracking. Deep knowledge of feature engineering, model deployment, and MLOps best practices. More ❯

management, or business continuity in financial services or regulated environments. Knowledge of AI/ML technologies, model governance, responsible AI principles. Understanding of machine learning models, NLP, AI algorithms, and model lifecycle. Ability to assess and mitigate AI risks such as bias and model drift. Familiarity … SS1/21, FCA PS21/3, DORA, NIST AI RMF). Experience with AI/ML platforms and monitoring tools (e.g., MLflow, Azure ML, SageMaker, Python). Excellent stakeholder management and communication skills. Desirable Skills: Technical background in AI/ML, data science, or software engineering. More ❯