Overview

Trustees and Corporate clients on a wide range of actuarial-related areas. Our Data Analytics business continues to grow, and we are looking for an experienced and technical Machine Learning (ML) Operations Engineer to join our offices with hybrid or remote UK working. This role suits someone with prior experience designing, building, optimising, deploying and managing business-critical machine learning models using Azure ML in production environments.

You should have strong technical knowledge of Python, SQL, CI/CD and familiarity with Power BI.

Responsibilities

• Model Development: Work with actuarial analysts to develop machine learning and statistical models to predict pension-related outcomes (e.g., life expectancy, default risk, investment returns). Identify appropriate algorithms and apply them to improve predictions, automate decision making, and enhance client offerings.
• Machine Learning Operations: Design, deploy, maintain and refine statistical and machine learning models using Azure ML. Optimise model performance and computational efficiency. Ensure applications run smoothly and handle large-scale data.
• Implement and maintain monitoring of model drift, data-quality alterations, and scheduled retraining pipelines.
• Data Management and Processing: Collect, clean and preprocess large datasets. Implement data pipelines and ETL processes to ensure data availability and quality.
• Software Development: Write clean, efficient and scalable Python code. Utilise CI/CD practices for version control, testing and code review.
• Collaborate with actuarial analysts, the actuarial modelling team (AMT) and colleagues to integrate data science findings into practical advice and strategies. Stay informed about new trends and technologies in data science and pensions to identify opportunities for innovation.
• Provide training and support to team members on using machine learning tools and analytical techniques. Interpret and explain ML concepts to non-technical stakeholders within XPS.

Your Profile

• Essential: Proven experience designing, building, optimising, deploying and managing business-critical ML models using Azure ML in production environments.
• Experience wrangling data with Python, SQL and ADF. Experience with CI/CD and DevOps/MLOps and version control.
• Familiarity with data visualization and reporting tools, ideally Power BI. Strong written and verbal communication and interpersonal skills. Ability to convey technical concepts to non-technical stakeholders.
• Experience in the pensions or similar regulated financial services industry is highly desirable.

Role Details

Machine Learning Operations Engineer | Location: London | Grade: Senior Associate | Employment Type: Permanent, Full Time | Remote: Hybrid/Remote UK

About XPS Group

XPS Pensions Group is a leading pensions consultancy and part of XPS Group. We are the largest pure pensions consultancy in the UK, with around 2,000 employees across 15 locations and over 1,600 pension schemes and more than 1,000,000 members served.

What We Offer

Competitive salary, annual discretionary bonus, and 25 days' holiday with buy/sell flexibility. Benefits include pension matching, healthcare plans, life assurance, and retailer discounts. Flexible benefits, employee assistance, digital GP service, and paid volunteering days. Referral bonuses for introducing suitable candidates.

How to Apply

Interested candidates should submit applications below or contact recruitment@xpsgroup.com.

Equal Opportunity Statement

XPS Group is committed to diversity and equal opportunities. We welcome applications from all candidates, irrespective of sex, race, disability, sexual orientation, religion, or belief. As a Disability Confident employer, we ensure accessible and supportive work settings for all employees.

Eligibility: Any offer is conditional on DBS disclosure checks, employment/educational references, satisfactory credit checks and eligibility to work in the UK. XPS Group does not offer visa sponsorship.

For more information, visit: www.xpsgroup.com