At a Glance
- Tasks: Design and deploy machine learning models using Azure Machine Learning Studio.
- Company: Leading UK consulting firm specialising in pensions and insurance services.
- Benefits: Remote work, competitive salary, and a 6% bonus.
- Other info: Opportunity for career growth in a supportive and innovative environment.
- Why this job: Join a dynamic team and make an impact with advanced technology in the finance sector.
- Qualifications: Experience in machine learning, data engineering, and familiarity with Azure tools.
About the Company A leading UK consulting and administration business specialising in pensions and insurance services. The organisation combines deep industry expertise with advanced technology and analytics to support large-scale pension schemes and their sponsoring employers. It provides administration for over one million members and delivers advisory services across schemes of all sizes, including many with assets exceeding £1bn. It also supports insurance clients in the life and bulk annuities sector. Package Details Remote (UK) | £45,000-£60,000 + 6% bonus Main Duties and Responsibilities Model Development (Azure Machine Learning Studio focus) Work collaboratively with actuarial and analytics teams to design, build, and deploy machine learning and statistical models using Azure Machine Learning Studio (AML Studio) in production environments. Apply appropriate ML techniques to improve predictions such as longevity, default risk, and investment outcomes. Machine Learning Operations (MLOps in Azure) Manage the full ML life cycle using Azure ML Studio, including deployment, monitoring, retraining pipelines, and version control. Implement robust MLOps practices such as model drift detection, data quality monitoring, and automated retraining workflows. Data Engineering and Preprocessing Develop and maintain scalable data pipelines using Python, SQL, and Azure Data Factory (ADF). Ensure data is clean, reliable, ...
Machine Learning Ops Engineer (Machine Learning Studio) employer: Proactive Appointments
Proactive Appointments is an excellent employer, offering a dynamic work environment that fosters innovation and collaboration in the Financial Services sector. With a strong emphasis on employee growth, we provide ample opportunities for professional development and skill enhancement, all while enjoying the flexibility of a hybrid working model. Our supportive culture encourages teamwork and values each individual's contributions, making it a rewarding place to build your career.
We think you need these skills to ace Machine Learning Ops Engineer (Machine Learning Studio)
Azure Machine Learning Studio
Machine Learning Operations (MLOps)
Model Development
Statistical Modelling
Data Engineering
Python
SQL
