ML Engineer

Square One Resources

Greater London

On-site

GBP 83,000 - 138,000

Full time

2 days ago
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Job summary

Square One Resources is seeking a Machine Learning Engineer for an initial six-month contract in West London, with a daily rate up to £750 Inside IR35.

The role focuses on model development, data pipelines, and deployment in production environments, with opportunities to lead experimentation and collaborate across teams.

Qualifications

  • Model Development: design and train ML models for personalization.
  • Data Pipeline Engineering: build scalable data pipelines for feature engineering and model training.
  • Production Deployment: deploy and monitor models in production with high availability.
  • Experimentation: lead A/B tests and offline experiments to evaluate models.
  • Cross-Functional Collaboration: align ML initiatives with business goals.
  • Research & Innovation: evaluate emerging ML research for integration.

Responsibilities

  • Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis.
  • Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets.
  • Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance.
  • Experimentation: Lead the design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement.
  • Cross-Functional Collaboration: Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs.
  • Research & Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems.

Skills

Model Development
Data Pipeline
Production Deployment
Experimentation
Cross-Functional Collaboration
Research & Innovation

Job description

Job Title: Machine Learning Engineer
Location: West London 2x a week
Salary/Rate: Up to £750 Daily Inside IR35
Start Date: In the next four weeks
Job Type: Initial 6 month contract Inside IR35


Company Introduction

We have an exciting opportunity now available with one of our sector-leading consultancy clients!


They are currently looking for a skilled machine learning engineer to join their team for an initial six-month contract.


Job responsibilities/requirements:


  • Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis.

  • Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets.

  • Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance.

  • Experimentation: Lead the design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement.

  • Cross-Functional Collaboration: Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs.

  • Research & Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems.


Disclaimer

Notwithstanding any guidelines given to level of experience sought, we will consider candidates from outside this range if they can demonstrate the necessary competencies.


Square One is acting as both an employment agency and an employment business, and is an equal opportunities recruitment business. Square One embraces diversity and will treat everyone equally. Please see our website for our full diversity statement.

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