Hybrid ML Ops Engineer - Azure & Pension Analytics

Proactive Appointments; Greater London; Hybrid; GBP 150,000 - 200,000; Full time

Job summary

A leading financial services firm based in London is seeking a Machine Learning Operations Engineer to manage and enhance machine learning models. The role involves designing, deploying, and optimizing models using Azure ML, as well as collaborating closely with actuarial teams. The ideal candidate will have significant experience in machine learning operations and data management, along with strong communication skills. This position offers a competitive salary and a flexible work environment.

Benefits

Competitive salary

Discretionary Bonus Scheme

Pension Plan

Life Assurance cover

Employee assistance programme

25 days holiday

Access to a qualified GP 24/7

Qualifications

• Experience designing and deploying business-critical machine learning models using Azure ML.
• Proficient in data wrangling using Python, SQL and ADF.
• Strong communication skills to convey technical concepts to non-technical stakeholders.

Responsibilities

• Collaborate with actuarial analysts to develop machine learning models for pension schemes.
• Design, deploy, and maintain machine learning models using Azure ML.
• Collect and preprocess large datasets for analysis.

Skills

Azure ML

Python

SQL

CI/CD practices

Data visualization

Job description

A leading financial services firm based in London is seeking a Machine Learning Operations Engineer to manage and enhance machine learning models. The role involves designing, deploying, and optimizing models using Azure ML, as well as collaborating closely with actuarial teams. The ideal candidate will have significant experience in machine learning operations and data management, along with strong communication skills. This position offers a competitive salary and a flexible work environment.