Senior AI Engineer - Machine Vision

Harnham
London, United Kingdom
1 day ago
Apply on www.reed.co.uk
Prepare application

Role details

Contract type
Temporary contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Compensation
£156,000 - £203,320
Working hours
Regular working hours
Job source

Tech stack

Artificial Intelligence Software Applications Computer Vision BigQuery Cloud Computing Cloud Engineering Data Cleansing Cursor Dicom Python (Programming Language) Machine Learning NumPy
+10 more
OpenCV SQL Databases Systems Architecture Google Cloud Cloud Platform System GitHub Copilot Pytorch Claude Code AI Platforms Machine Learning Operations

Job description

The Clinical Platforms team is seeking a Senior AI Engineer to help develop and deploy advanced AI solutions that power large-scale medical imaging initiatives across the business.

This is a highly technical engineering role sitting at the intersection of Artificial Intelligence, Machine Learning, Computer Vision and Cloud Engineering. You’ll be responsible for building, deploying and maintaining production-grade AI systems that enable researchers and scientists to extract value from complex imaging datasets and AI-driven workflows.

The team is looking for a hands-on engineer with strong Python, Machine Learning and Google Cloud Platform (GCP) experience who can take ownership of AI solutions from design through to production. What You’ll Be Doing

  • Designing, developing and deploying AI-powered applications and machine learning systems
  • Building and maintaining infrastructure supporting AI, machine learning and computer vision workloads
  • Creating end-to-end AI pipelines covering data preparation, model training, evaluation and deployment
  • Working with large-scale medical imaging datasets in cloud environments
  • Deploying, monitoring and optimising production AI models and services
  • Developing AI solutions for complex imaging and clinical research use cases
  • Monitoring, troubleshooting and improving the performance of production AI systems
  • Collaborating with engineers, researchers and data scientists across multiple projects, We’re open to candidates from a variety of backgrounds, including:
  • Senior AI Engineers
  • Machine Learning Engineers
  • Computer Vision Engineers
  • AI Platform Engineers
  • Applied AI Engineers
  • Research Engineers
  • Software Engineers with strong AI, Cloud and Machine Learning experience

The key requirement is strong, hands-on commercial AI engineering experience and the ability to design, build and support complex production systems. Why Join?

  • Work on cutting-edge AI and medical imaging initiatives
  • Contribute to platforms supporting drug discovery and clinical research
  • Opportunity to work across AI Engineering, Machine Learning and Computer Vision projects
  • Long-term 12-month contract with strong extension potential

Requirements

  • Strong commercial experience with Python development
  • Experience building and deploying AI or Machine Learning solutions into production
  • Strong Google Cloud Platform (GCP) experience
  • Experience designing and delivering production-grade AI platforms and systems
  • Strong understanding of systems architecture and cloud infrastructure
  • Experience building end-to-end AI and machine learning solutions
  • Proven track record delivering engineering and AI projects into production

Highly Desirable

  • Computer Vision or Image Processing experience
  • Exposure to Machine Learning platforms and MLOps environments
  • Experience working with image datasets at scale
  • PyTorch, OpenCV, NumPy or related technologies
  • BigQuery and wider GCP ecosystem experience
  • Familiarity with AI-assisted development tools such as Cursor, Claude Code or GitHub Copilot

Nice to Have

  • Medical imaging experience
  • DICOM or PACS exposure
  • Healthcare, biotech or pharmaceutical industry experience, * GCP
  • Medical Imaging
  • Python
  • SQL

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on www.reed.co.uk
Prepare application

Good distractions

Loading talks and stories from around this role…