A fantastic opportunity for a Senior or Principal Machine Learning Engineer to join a fast-growing health-tech company developing advanced machine learning and computer vision models used within clinical research and drug development. The business is building large-scale production-grade ML systems applied to complex 3D imaging data.
This role is highly engineering-focused sitting between machine learning infrastructure and deployment. You will work closely with ML Scientists and engineering teams to ensure models can be trained and deployed reliably at scale.
Location: 1 day per week in London - Shepherds Bush (4 days remote)
Salary:per annum with flexibility for the right candidate plus benefits
Requirements for Senior / Principal Machine Learning Engineer:
- Strong relevant industry experience in machine learning engineering
- Strong Python and PyTorch experience
- Experience training machine learning models at scale
- Experience building and maintaining model deployment and inference pipelines
- Hands-on experience using Docker in production environments
- Strong Linux and Git skills
- Experience working in cloud environments (AWS GCP or Azure all acceptable)
- Experience working with CI pipelines
- Proactive self-sufficient and highly communicative working style
- Strong English written and verbal communication skills
- Educated to a minimum of Masters Level
Responsibilities:
- Develop train and deploy machine learning models into scalable production environments
- Support and improve large-scale model training and inference pipelines
- Collaborate closely with ML Scientists to productionise research models
- Work with engineering teams to ensure robust secure and efficient deployment
- Contribute to code quality documentation and best practices across the ML engineering function
What the role offers:
- Work on impactful health-tech
- Exposure to large-scale real-world machine learning systems
- A technically strong and collaborative engineering environment
- Hybrid working with a remote-first approach
- Clear cut career trajectory to becoming Head of Machine Learning
Applications:
If you would like to apply for this unique Machine Learning Engineering role please send your CV via the relevant links.
Keywords: Senior Machine Learning Engineer / Principal Machine Learning Engineer / ML Engineer / Applied Machine Learning Engineer / Computer Vision Engineer / AI Engineer / Research Engineer / Python / PyTorch / Linux / Docker / Cloud ML / CI Pipelines / Model Deployment / Inference Pipelines
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