ML Platform Engineer for Multi-Omics & Precision Medicine

Panakeia

Greater London

Hybrid

GBP 70,000 - 100,000

Full time

14 days+
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Benefits offered by this job

Equity participation
Hybrid working
Pension contribution
22 days holiday plus bank holidays

Job summary

Panakeia is hiring an ML Platform Engineer to join a fast-growing, cross-disciplinary team. You will design and maintain a multi-omics AI platform, building data and ML pipelines, and collaborating with product, research and engineering to deliver high‑quality AI-based diagnostics.

The role emphasizes producing production‑readied ML systems from research, using Python and PyTorch, with cloud, hybrid and on‑prem deployments, in a healthcare‑focused setting. Hybrid work and equity are offered.

Qualifications

  • Degree in a quantitative field or equivalent practical experience.
  • 2+ years in a fast-paced environment with iterative delivery.
  • Experience across the full MLOps lifecycle for cloud, hybrid and on‑premise deployments.
  • Curiosity and adaptability to evolving requirements and priorities.
  • Ownership mindset with proactive problem solving and delivery focus.
  • Strong Python programming for data processing and pipeline orchestration.
  • Experience managing large-scale, high-dimensional datasets and data quality.

Responsibilities

  • Design, implement and evolve a multi-omics AI platform with full lifecycle MLOps.
  • Ingest, link and curate data across large multi-omics and imaging datasets.
  • Standardise and automate model lifecycle from research to production.
  • Build analytics pipelines for ingestion, training, inference and post‑processing with monitoring.
  • Collaborate with Product, Research and Engineering to deliver high‑quality products.
  • Communicate complex results clearly to technical and executive stakeholders.

Skills

Python
MLOps
Data processing
Cloud deployments
PyTorch
Communication
Biomedical data

Education

Bachelor’s or Master’s in Mathematics
Computer Science
Engineering

Tools

Docker
Kubernetes
AWS
GCP

Job description

Panakeia is hiring an ML Platform Engineer to join a fast-growing, cross-disciplinary team. You will design and maintain a multi-omics AI platform, building data and ML pipelines, and collaborating with product, research and engineering to deliver high‑quality AI-based diagnostics.

The role emphasizes producing production‑readied ML systems from research, using Python and PyTorch, with cloud, hybrid and on‑prem deployments, in a healthcare‑focused setting. Hybrid work and equity are offered.

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