Hybrid ML Ops Engineer (Azure) – Pensions Analytics

Proactive.IT Appointments Limited; City Of London; On-site; GBP 40,000 - 65,000; Full time

Job summary

A financial services provider in London is seeking a Machine Learning Operations Engineer for a hybrid role. This position involves developing and optimizing machine-learning models using Azure ML and collaborating with actuarial teams. Ideal candidates should have a strong background in Python, CI/CD, and experience in the financial services sector. Competitive salary and comprehensive benefits are offered.

Benefits

Competitive salary

Participation in Discretionary Bonus Scheme

Pension Plan

Life Assurance cover

Employee assistance programme

25 days holiday

Access to a qualified GP 24/7

Qualifications

• Experience in designing and managing machine-learning models using Azure ML.
• Strong skills in data wrangling with Python and SQL.
• Familiarity with CI/CD and DevOps practices.

Responsibilities

• Develop machine-learning models to predict outcomes related to pension schemes.
• Optimize model performance and maintain operational efficiency.
• Serve as a technical resource for team members and stakeholders.

Skills

Model development

Machine Learning Operations

Data Management and Preprocessing

Software Development in Python

Communication Skills

Tools

Azure ML

Python

SQL

ADF

PowerBI

Job description

A financial services provider in London is seeking a Machine Learning Operations Engineer for a hybrid role. This position involves developing and optimizing machine-learning models using Azure ML and collaborating with actuarial teams. Ideal candidates should have a strong background in Python, CI/CD, and experience in the financial services sector. Competitive salary and comprehensive benefits are offered.