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Machine Learning Engineer

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Data Idols

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Location:
United Kingdom , London

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Category:
IT - Software Development

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Contract Type:
Not provided

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Salary:

60000.00 - 65000.00 GBP / Year
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Job Description:

We are currently looking for a Machine Learning Engineer to join our client’s data team. This is a hands-on role where you’ll design and build robust data pipelines, transform ML prototypes into production-ready systems, and champion MLOps best practices across the business. As a Machine Learning Engineer, you’ll play a crucial role in ensuring our clients’ data and AI strategy scales effectively, directly influencing the way millions of people engage with their products every day.

Job Responsibility:

  • Building and maintaining end-to-end data pipelines and feature engineering workflows
  • Deploying and monitoring ML models in production using tools such as MLflow, Vertex AI, or Azure ML
  • Driving best practices in MLOps, including CI/CD, experiment tracking, and model governance
  • Supporting the data warehouse and ensuring data quality, governance, and accessibility
  • Collaborating with cross-functional teams to deliver trusted datasets and insights

Requirements:

  • Degree in Computer Science, Engineering, Mathematics, or a related field
  • Proven experience in data or ML engineering
  • Strong knowledge of Python and SQL
  • Hands-on experience with cloud platforms (GCP or Azure) and Databricks
  • Familiarity with deploying ML workflows using MLflow, Vertex AI, or Azure ML

Nice to have:

  • Experience with Spark, CI/CD pipelines, and orchestration tools
  • Knowledge of Elasticsearch or digital/web analytics platforms
  • Understanding of the full machine learning lifecycle, from experimentation to evaluation
What we offer:
  • Competitive salary with annual reviews
  • Hybrid working model offering flexibility
  • Generous holiday allowance that increases with service
  • Onsite wellness facilities, subsidised meals, and gym access
  • Access to wellbeing support services and employee assistance programmes
  • Clear career progression and opportunities to work with cutting-edge tech

Additional Information:

Job Posted:
May 14, 2026

Employment Type:
Fulltime
Work Type:
Hybrid work
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