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ML Engineer

RAPP is a global creative agency that uses data and technology to create personalized marketing solutions for brands.
Machine Learning
Mid-Level Software Engineer
Hybrid
3+ years of experience
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Description For ML Engineer

RAPP, a global creative agency and part of Omnicom Precision Marketing Group, is seeking an ML Engineer to join their world-class Data Science team of around 8 data scientists. As the data-centric arm of OPMG, RAPP has won major pitches for clients like Virgin Media 02, KFC, and Mercedes. They are at the forefront of applying AI to marketing, with clients praising them for "reinventing the future of marketing."

The role involves:

  • Developing end-to-end pipelines for ML model training, evaluation, and deployment
  • Applying MLOps to operationalize ML models for client marketing campaigns
  • Supporting data scientists in building predictive models across various sectors
  • Developing performant data pipelines and lean Python web apps
  • Leading technology and process transformation
  • Collaborating with multiple teams in a fast-paced, agile environment

The ideal candidate should:

  • Be pragmatic, outcome-focused, and think scientifically
  • Have hands-on experience with machine learning models
  • Be proficient in Python, SQL, Bash, HTML/CSS/JS, and Excel
  • Understand core concepts of probability and statistics
  • Have experience with containerization, cloud architecture, and API design
  • Be comfortable in a dynamic, high-growth, multi-client environment

Preferred qualifications include an MS or Ph.D. in a relevant field, experience with various cloud providers and data sources, and knowledge of distributed computing, experimentation, and advanced ML techniques.

RAPP offers a flexible working environment with 3 days per week in their South Bank office, learning and development opportunities, and a strong focus on diversity, equity, and inclusion. They provide various wellness benefits, including mental health support and coaching programs.

Join RAPP to be part of a team that values individuality, fosters creativity, and drives innovation in the intersection of AI and marketing.

Last updated a year ago

Responsibilities For ML Engineer

  • Leading the development of end-to-end pipelines for training, evaluating and deploying ML models
  • Applying MLOps to operationalise ML models for client marketing campaigns
  • Supporting data scientists in building predictive models
  • Developing performant data pipelines for AI model workflows
  • Building lean Python web apps for self-service frameworks
  • Leading technology and process transformation
  • Documenting projects for replication and scaling
  • Collaborating with data scientists and client partners on ML opportunities
  • Working in an agile, fast-paced environment with multiple teams

Requirements For ML Engineer

Python
JavaScript
Kubernetes
  • Hands-on experience building machine learning models
  • Proficiency in Python, SQL, Bash, HTML/CSS/JS, and Excel
  • Understanding of probability and statistics
  • Experience with containerisation (Docker and Kubernetes)
  • Experience with cloud architecture, API design, and Python web app design
  • Hands-on experience with at least one major cloud platform
  • Experience visualizing data using Plotly and Matplotlib
  • Strong problem-solving skills and attention to detail
  • Clear and concise communication skills
  • Comfort in a dynamic, high-growth, multi-client environment

Benefits For ML Engineer

Medical Insurance
Dental Insurance
Vision Insurance
Mental Health Assistance
Education Budget
  • Flexible working with 3 days per week in the office
  • Learning and Development opportunities
  • Dedicated Learning and Development team
  • Regular career conversations
  • Bespoke L&D programmes
  • Diversity, equity, and inclusion initiatives
  • Mental health support through Sanctus
  • Professional development coaching through Sayge
  • 40 trained Mental Health First Aiders
  • Private GP service through Babylon Health
  • Annual 'Me' day for personal development
  • Annual 'Us' day for volunteering or charity work
  • Fertility and reproductive health benefits through Fertifa

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