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Senior Machine Learning Engineer

Fabrik Talent
City of London
3 weeks ago
Applications closed

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Senior Machine Learning Engineer

Senior Machine Learning Engineer

Senior Machine Learning Engineer

Senior Machine Learning Engineer - up to £135k base plus equity

Senior Machine Learning Engineer - up to £135k base plus equity

Senior Machine Learning Engineer - up to £135k base plus equity

Senior AI Engineer | HealthTech | Remote

£100-130k + equity


This series A healthtech start-up is transforming healthcare delivery through AI-powered solutions, making patient care more personalised, efficient, and scalable. They're already partnering with global healthcare organisations and generating seven-figure ARR.


They're building an AI-first platform designed from the ground up to streamline workflows, enhance clinical decision-making, and dramatically improve patient outcomes.


We’re hiring a first Senior AI Engineer to pioneer the implementation of AI automation within the internal operations and across their client-facing products. This unique role offers significant autonomy and the opportunity to define and shape AI strategy.


Key Responsibilities:

  • Design, build, and deploy production-grade AI systems across various use cases including classification, personalisation, forecasting, and more.
  • Rapidly prototype AI-driven utilities and automation tools, launching them swiftly into production.
  • Collaborate closely with product and engineering teams to apply machine learning practically and effectively.
  • Define and develop robust ML infrastructure, including model tracking, CI/CD pipelines, deployment practices, and A/B testing frameworks.
  • Continuously explore and evaluate emerging AI models and methodologies, integrating them to maximise impact and utility.


Your Profile:

  • 6+ years of software development experience, with at least 4 years specifically in building and deploying ML/AI systems.
  • Proficient in Python (pandas, PyTorch, scikit-learn) and comfortable with modern backend stacks (Typescript, Node.js, Go).
  • Experienced in deploying scalable AI models using cloud infrastructure (GCP preferred).
  • Knowledgeable in containerisation (Docker) and serverless architectures, as well as MLOps practices and tooling (MLflow, Vertex AI, SageMaker).
  • Exceptional at working autonomously in a remote-first environment, with strong communication skills.


Benefits:

  • Fully remote, flexible working model with a supportive and collaborative team culture.
  • Opportunity to significantly impact healthcare outcomes through innovative AI solutions.
  • Competitive compensation package (£100-130k base + equity), with meaningful equity stake.
  • Occasional in-person collaboration in Manchester for team alignment and strategic discussions.


Help lead the future of healthcare with your AI expertise. Interested? Let’s connect for a confidential discussion.

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