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Machine Learning Engineer

JR United Kingdom

London

Remote

GBP 200,000 +

Part time

10 days ago

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Job summary

Join a forward-thinking company as a Machine Learning Engineer, where your work will directly impact healthcare through AI. In this part-time role, you'll develop innovative AI solutions that enhance user health experiences. Collaborate with industry experts to create scalable, ethical AI applications while enjoying a flexible work schedule. This opportunity offers a competitive day rate outside IR35, allowing you to balance your professional and personal commitments effectively. If you're passionate about AI in health tech and ready to make a difference, this role is for you.

Benefits

Flexible working hours
Competitive day rate
Outside IR35 contract structure
Opportunity to work with experts in AI & health tech

Qualifications

  • Experience with MLOps and data engineering for scalable pipelines.
  • Proficiency in cloud environments for model deployment.

Responsibilities

  • Build AI to understand and predict user health patterns.
  • Design and implement end-to-end MLOps pipelines for model deployment.

Skills

MLOps
Data Engineering
Machine Learning
NLP
Deep Learning
Collaboration

Tools

Kubeflow
MLflow
Airflow
Docker
Kubernetes
AWS
GCP
Azure

Job description

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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-driven health tech? We're hiring a Machine Learning Engineer for a part-time (3 days/week), outside IR35 contract role 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 implementing end-to-end MLOps pipelines to 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 Engineering experience – building scalable pipelines and automating workflows.
  • Proficiency with tools like Kubeflow, MLflow, Airflow, Docker, Kubernetes, or similar.
  • Experience in cloud environments (AWS, GCP, or Azure) for model deployment.
  • Passion for AI in health tech and its real-world applications.
  • Ability to work collaboratively with technical and non-technical stakeholders.

Why Join?

  • Work on AI tech that makes a difference in healthcare.
  • Flexible, part-time role – perfect for balancing other commitments.
  • Competitive day rate with an outside IR35 contract structure.
  • Be part of a growing team led by experts in AI & health tech.
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