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Machine Learning Engineer (Basé à London)

Jobleads
London
4 months ago
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Machine Learning Engineer

Machine Learning Engineer

Machine Learning Engineer

Machine Learning Engineer

Machine Learning Engineer

Machine Learning Engineer

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AI/ML Engineer - Contract | 3 Days a Week | Outside IR35 | £450 per Day | 6 Month Contract

REMOTE - MUST BE BASED IN THE UK

Looking to make an impact with AI-drivenhealth tech? We're hiring aMachine Learning Engineerfor apart-time (3 days/week), outside IR35 contractrole at£450 per day. If you're passionate about using AI to drive meaningful change, this could be for you.

The Role:

  • Building AI that understands and predicts user health patterns.
  • Developing machine learning models for personalised interventions.
  • Implementing NLP and deep learning techniques where applicable.
  • Designing and implementingend-to-end MLOps pipelinesto streamline model deployment and monitoring.
  • Automating model training, validation, and deployment workflows.
  • Ensuring models are scalable, reproducible, and maintainable in production environments.
  • Managing model versioning, drift detection, and continuous integration.
  • Optimising data pipelines to support real-time and batch inference.
  • Cleaning, processing, and optimising data for AI training.
  • Designing scalable data pipelines to ensure high-quality model performance.
  • Ensuring data is ethical, relevant, and aligned with health tech applications.
  • Working closely with leadership, including ex-Microsoft talent, to align AI with company goals.
  • Engaging with domain experts to refine AI-driven solutions.
  • Contributing to long-term AI strategy and innovation.

User-Centric AI:

  • Ensuring solutions are accessible, ethical, and impactful.
  • Tailoring AI applications to diverse user needs.
  • Prioritising explainability and transparency in AI models.

What You’ll Need:

  • MLOps & Data Engineeringexperience – building scalable pipelines and automating workflows.
  • Proficiency with tools likeKubeflow, MLflow, Airflow, Docker, Kubernetes, or similar.
  • Experience in cloud environments (AWS, GCP, or Azure) for model deployment.
  • Passion forAI in health techand its real-world applications.
  • Ability to workcollaborativelywith technical and non-technical stakeholders.

Why Join?

  • Work on AI tech thatmakes a differencein healthcare.
  • Flexible, part-time role– perfect for balancing other commitments.
  • Competitive day ratewith anoutside IR35contract structure.
  • Be part of a growing team led by experts in AI & health tech.


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