Machine Learning Engineer | Neurobiology | Dr Albert Cardona | LMB 2611

Job summary

£52,253 to £60,834 per annum This is a fixed term position for 2 years due to time limited funding from an external grant. Overall purpose: To lead the deployment, scaling and maintenance of machine learning systems for petabyte-scale connectomics data within the group of Dr. Albert Cardona at the MRC Laboratory of Molecular Biology.

Qualifications

• and data protection standards.
• To contribute to collaborations within the division, across the LMB and with external partners by providing ex-pertise in ML deployment, scalable data processing and production infrastructure.
• Line management
• and experience:
• Significant experience deploying machine learning models in production or production-like environments, ideally involving computer vision, image analysis or large-scale scientific data.
• Experience with image data, electron microscopy, bioimage informat-ics or connectomics would be highly desirable.
• The candidate should have experience building, deploying and maintaining ML pipelines for training, inference, validation and reprocessing across GPU and CPU infrastructure (e.g., HPC environments).
• Experience with Linux systems administration, containers such as Docker or Singularity/Apptainer, workflow orchestration
• of the post, the MRC and UKRI.
• The role holder will be required to have the appropriate level of security screening/vetting required for the role.
• UKRI reserves the right to run or re-run security clearance as required during the course of employment.

Responsibilities

• To deploy, maintain and improve machine learning models for production-scale inference on large volume electron microscopy datasets.
• To build robust ML pipelines for training, batch inference, validation, monitoring and reprocessing across GPU and CPU compute environments.
• To debug failures across the full ML stack, including model execution, data loading, storage I/O, distributed jobs, container environments, cluster scheduling and database interactions.
• To keep up to date with developments in the field, proposing or implementing changes of direction as necessary.
• To identify, develop and apply a broad range of techniques to pursue the research objectives.
• To present your work at seminars within the laboratory and at external meetings.
• To contribute to laboratory-wide discussions on developments within the laboratory, particularly in the use of new techniques or new equipment.
• To disseminate research findings in the form of publications, presentations, and reports and thus support the QQR mission of the division.
• To train students, Postdoctoral Scientist and others and line management of group members where appropriate.
• To contribute to the MRC’s engagement with the public and in the translation of research findings into improvements in health care.
• The key responsibility is to develop, deploy, maintain and improve production-scale machine learning systems for large-volume electron microscopy and connectomics data.
• The post holder will ensure that machine learning models can be run reliably, reproducibly and efficiently across large datasets, GPU/CPU clusters, storage systems and associated databases.

Skills

Degrees

Work schedule

Travel

Industry

Company size

Contract length

Security clearance