ML Operations Engineer – 11077SR

Proactive.IT Appointments Limited; London; Hybrid; GBP 40,000 - 45,000; Full time

Job summary

A leading company in the financial services sector is looking for an experienced ML Ops Engineer in London. You will pioneer advancements in actuaries by developing machine learning models and ensuring seamless data processing and analysis supported by Azure ML. This role offers the chance to work in a hybrid or remote capacity, contributing significantly to pension-related insights for clients.

Qualifications

• Experience in machine learning model management using Azure ML.
• Skilled in Python for data processing and model deployment.
• Experience in regulated financial services and data quality assurance.

Responsibilities

• Develop and optimize machine learning models for predicting pension outcomes.
• Design and maintain data pipelines and ETL processes.
• Write scalable Python code and implement CI/CD practices.

Skills

Azure ML

Data wrangling

CI/CD

DevOps/MLOps

Python

SQL

Data visualization

Tools

PowerBI

Job description

11077SR
£40k – 45k per year

ML Ops Engineer – Perm – London

Salary: £40,000 – £45,000 pa

Remote or Hybrid if closer to London

We are on the look out for an experienced Machine Learning Operations Enginnner (ML Ops Engineer) to join this growing team who have been awardedActuarial Software of the Year.

The role in this mission is to pioneer advancements in the field of pensions and beyond, leveraging state-of-the-art technology to extract valuable and timely insights from data. This enables the consultant to better advise Trustees and Corporate clients on a wide range of actuarial-related areas.

ML Ops Engineer Main Duties:

• Work collaboratively with actuarial analysts to develop machine learning and statistical models to predict outcomes, related to pension schemes, such as life expectancy, default risk, or investment returns. Identify appropriate machine learning algorithms and apply them to enhance predictions, automate decision-making processes, and improve client offerings.
• Responsible for designing, deploying, maintaining and refining statistical and machine learning models using Azure ML. Optimize model performance and computational efficiency. Ensure that applications run smoothly and handle large-scare data efficiently. Implement and maintain monitoring of model drifts, data-quality alerts, scheduled r-training pipelines.
• Collect, clean and preprocess large datasets to facilitate analysis and model training. Implement data pipelines and ETL processes to ensure data availability and quality.
• Write clean, efficient and scalable code in Python. Utilize CI/CD practices for version control, testing and code review.

ML Ops Engineer Skills Required:

• Experience in designing, building, optimising, deploying and managing business-critical machine learning models using Azure ML in Production environments.
• Experience in data wrangling using Python, SQL and ADF
• Experience in CI/CD and DevOps/MLOps and version control
• Familiarity with data visualization and reporting tools, ideally PowerBI
• Experience in the pensions or similar regulated financial services industry

Due to the volume of applications received for positions, it will not be possible to respond to all applications and only applicants who are considered suitable for interview will be contacted.

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