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Machine Learning Engineer, Specialist

NLP PEOPLE

Manchester

Hybrid

GBP 125,000 - 150,000

Full time

30+ days ago

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Job summary

An established industry player seeks a skilled Machine Learning Engineer to enhance predictive automation capabilities through innovative AI systems. In this pivotal role, you will design and develop cutting-edge machine learning algorithms while collaborating with a diverse team of data professionals. Your expertise in statistics and programming will drive the optimization of existing models and frameworks, ensuring high performance in real-world applications. Embrace a hybrid work environment that values flexibility and collaboration, and make a significant impact on the organization's data-driven initiatives. If you're ready to tackle complex challenges and contribute to transformative projects, this opportunity is for you.

Qualifications

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

Responsibilities

  • Design and develop machine learning algorithms and AI systems.
  • Collaborate with data teams to optimize models and pipelines.
  • Engage with stakeholders to translate business needs into analytics.

Skills

Statistical Analysis
Programming
Data Analysis
Machine Learning
Problem Solving

Education

Undergraduate Degree

Tools

PySpark
GlueETL

Job description

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, analyze, 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.

Company:

Vanguard Careers

Level of experience (years):

Senior (5+ years of experience)

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