3 of 3 Contract Azure Machine Learning Jobs in the UK excluding London

data-driven strategies. Data Management: Identify, collect, clean, and process relevant datasets, ensuring seamless handover to Data Engineers. Model Development: Create and deploy predictive and prescriptive models using Azure ML Studio and Azure DevOps. Effective Communication: Present findings clearly through visualisation and reporting, including interactive dashboards and web applications using Power BI, R Shiny … solutions. What You Bring: We're looking for a candidate with a blend of essential skills and experience, including: Hands-On Experience: Proven experience in data science and machine learning model deployment, preferably with Azure ML Studio. MLOps Proficiency: Strong understanding of pipeline management and model versioning. Data Manipulation Skills: Expertise in data … Python Flask. Agile Methodology: Familiarity with Git and Azure DevOps for version control and agile task management. Statistical Acumen: Solid understanding of statistical methods and machine learning algorithms. Effective Communication: Ability to convey complex technical concepts to both technical and non-technical audiences. Problem-Solving Attitude: Strong proactive approach to identifying and resolving More ❯

data quality. Experimentation - set up offline metrics and online A/B tests; analyse uplift and iterate quickly. Production delivery - build scalable pipelines in AWS SageMaker (moving to Azure ML); containerise code and hook into CI/CD. Monitoring & tuning - track drift, response quality and spend; implement automated retraining triggers. Collaboration - work with Data Engineering, Product and … features. Modelling sprint: run hyper-parameter sweeps or explore heuristic/greedy and MIP/SAT approaches. Deployment: ship a model as a container, update an Airflow (or Azure Data Factory) job. Review: inspect dashboards, compare control vs. treatment, plan next experiment. Tech stack Python (pandas, NumPy, scikit-learn, PyTorch/TensorFlow)SQL (Redshift, Snowflake or similar … AWS SageMaker Azure ML migration, with Docker, Git, Terraform, Airflow/ADFOptional extras: Spark, Databricks, Kubernetes. What you'll bring 3-5+ years building optimisation or recommendation systems at scale. Strong grasp of mathematical optimisation (e.g., linear/integer programming, meta-heuristics) as well as ML. Hands-on cloud ML experience (AWS or Azure More ❯

Scrum Master - Healthcare, Data, Azure £Market Rate - Inside IR35 London/Hybrid - 2 days per week on site 6 months My client is an instantly recognisable Healthcare Insurer who urgently require a Scrum Master/Business Analyst with expertise in Azure Data projects to join a business-critical programme. Key Requirements: Proven commercial experience … working as a Scrum Master and Business Analyst in the Healthcare and Insurance Industry. Expertise in Azure Cloud Data programmes, with the ability to data integrity, security and scalability. Previous experience facilitating daily stand-ups, sprint planning, sprint reviews, and retrospectives … ensuring the team adheres to Scrum principles and practices. Strong understanding of Agile methodologies and Scrum practices. Strong understanding of LLM. An understanding of Azure Machine Learning (ALM)/Azure AI. Strong knowledge of Healthcare & Insurance industry regulations and Data privacy standards. The ability to manage and track project progress More ❯