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Machine Learning Engineer, Specialist | Manchester, UK

Vanguard Group

Manchester

Hybrid

GBP 125,000 - 150,000

Full time

30+ days ago

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Job summary

An innovative firm is seeking a Machine Learning Engineer to join their dynamic team in Manchester. This role involves building and optimizing AI systems that enhance predictive capabilities. The ideal candidate will leverage their expertise in statistics and programming to analyze complex datasets and develop machine learning models. You'll collaborate with a variety of data professionals, ensuring the effectiveness of AI applications in real-world scenarios. This position offers a unique opportunity to contribute to cutting-edge projects while enjoying a hybrid work model that promotes flexibility and collaboration.

Qualifications

  • 5+ years of experience in machine learning and data analysis.
  • Strong programming skills and proficiency in statistics.

Responsibilities

  • Develop and optimize machine learning algorithms and AI applications.
  • Collaborate with data teams to enhance model performance.

Skills

Statistics
Programming
Data Analysis
Machine Learning
Data Pipeline Development
Problem Solving

Education

Undergraduate degree

Tools

PySpark
GlueETL

Job description

Machine Learning Engineer, Specialist

Vanguard Group Manchester, United Kingdom

About the Machine Learning Engineer for CDAO Europe
CDAO Europe is looking for a machine learning engineer to build efficient, data-driven AI systems that advance our predictive automation capabilities. The candidate should be highly skilled in statistics and programming, with the ability to confidently assess, analyse, and organize large amounts of data. The candidate should also be able to execute tests and optimize Vanguard's machine learning models and algorithms.

This person will play a critical role in designing and developing machine learning algorithms and AI applications and systems for Vanguard, solve complex problems with multilayered data sets, and optimize existing machine learning libraries and frameworks. They will collaborate with data scientists, data analysts, data engineers, and data architects on production systems and applications, and identify differences in data distribution that could potentially affect model performance in real-world applications.
This person will be a major contributor in our GenAI intake process, assessing and reviewing use cases from around the business, and play a key role in Vanguard's model governance processes.

Core Responsibilities

  1. Leverages data pipeline designs and supports the development of data pipelines to support model development. Proficient with software tools that develop data pipelines in a distributed computing environment (PySpark, GlueETL).
  2. Supports integration of model pipelines in a production environment. Develops understanding of SDLC for model production.
  3. Reviews pipeline designs, makes data model design changes as needed. Documents and reviews design changes with data science teams.
  4. Supports data discovery & automated ingestion for model development. Performs detailed analysis of raw data sources for data quality, applies business context, and model development needs.
  5. Engages with internal stakeholders to understand and probe business processes in order to develop hypotheses. Brings structure to requests and translates requirements into an analytic approach. Participates in and influences ongoing business planning and departmental prioritization activities.
  6. Runs model monitoring scripts, follows process for alerts to management as needed. Addresses issues found in data pipelines from model monitoring alerts.
  7. Participates in special projects and performs other duties as assigned.

Qualifications
  • Undergraduate degree or equivalent combination of training and experience.
  • Minimum of five years related work experience.

How We Work

Vanguard has implemented a hybrid working model for the majority of our crew members, designed to capture the benefits of enhanced flexibility while enabling in-person learning, collaboration, and connection. We believe our mission-driven and highly collaborative culture is a critical enabler to support long-term client outcomes and enrich the employee experience.

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