Machine Learning Engineer

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:

You'll be building foundational AI models to support early intervention in healthcare, helping users access proactive support before issues escalate. Expect to work on:

✅ Model Development

• Building AI that understands and predicts user health patterns.
• Developing machine learning models for personalised interventions.
• Implementing NLP and deep learning techniques where applicable.

✅ MLOps & Pipelines

• 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.

✅ Data Engineering & Processing

• 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.

✅ Collaboration & Strategy

• 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:

• Strong Machine Learning & AI expertise (NLP, predictive modelling, deep learning).
• 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.