Senior Machine Learning Engineer

Location: Brook Green

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 - Shepherd's Bush (4 days remote)

Salary: £70,000 – £90,000 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 product ionise 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.

We are committed to creating an inclusive and accessible recruitment process. If you require reasonable adjustments for your application or during the review process, please highlight this by separately emailing . If this email address has been removed by the job board, full contact details are readily available on our website.

/ 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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