Machine Learning Engineer

ML Ops Engineer

Location: Remote (will need to come into London once a month)
Job Type: Full-time, Permanent
Must have the Right to Work in the UK (Cannot provide sponsorship)Join a leading UK consulting and administration business specialising in the pensions and insurance sectors. As an ML Ops Engineer in our Pensions Advisory - Data Analytics department, you will be at the forefront of developing and deploying machine learning models that enhance our consulting capabilities and client offerings.

Day-to-day of the role:

Model Development: Collaborate with actuarial analysts to develop machine learning and statistical models for predicting outcomes related to pension schemes. Utilize appropriate algorithms to enhance predictions and automate decision-making processes.
Machine Learning Operations: Design, deploy, maintain, and refine statistical and machine learning models using Azure ML. Optimize model performance and ensure smooth application operations with large-scale data handling.
Data Management and Preprocessing: Manage the collection, cleaning, and preprocessing of large datasets. Implement data pipelines and ETL processes to ensure data quality and availability.
Software Development: Write clean, efficient, and scalable code in Python. Implement CI/CD practices for version control, testing, and code review.
Collaboration and Training: Work closely with various teams within the organisation to integrate data science findings into practical strategies. Provide training and support to team members on machine learning tools and analytical techniques.
Research and Development: Stay updated with the latest trends and technologies in data science and pensions to identify opportunities for innovation.

Required Skills & Qualifications:

Essential:
Proven experience in designing, building, optimizing, deploying, and managing business-critical machine learning models using Azure ML in production environments.
Strong skills in data wrangling using Python, SQL, and ADF.
Proficiency in CI/CD, DevOps/MLOps, and version control systems.
Familiarity with data visualization and reporting tools, ideally PowerBI.
Excellent communication and interpersonal skills, with the ability to convey technical concepts to non-technical stakeholders.
Desirable:
Experience in the pensions or similar regulated financial services industry.
Experience working within a multidisciplinary team.

Benefits:

Competitive salary and participation in an annual discretionary bonus scheme.
25 days holiday plus options to buy or sell additional holiday.
Flexible bank holidays and a comprehensive pension scheme with matching contributions.
Healthcare cash plan and a flexible benefits scheme supporting various aspects of your life.
Life assurance cover, extensive high street discounts, and access to digital GP services.
Paid volunteering day and employee assistance programmes for you and your household