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TRAICK

Senior AI Engineer

TRAICK
United Kingdom · Full-time · Mid-Senior

About TRAICK AI

TRAICK AI is an innovative health-tech startup building AI-powered clinical decision support systems, with a strong focus on ultrasound, MRI-based early diagnostics. Our solutions are designed to empower clinicians with real-time, interpretable, and regulatory-compliant medical imaging analysis. As we expand our product line and scale globally, we're seeking a Senior AI Engineer to lead our AI infrastructure and development efforts.

This is a strategic technical leadership role for an experienced professional passionate about building high-impact healthcare technologies. You will drive core AI development, optimize multi-modal learning pipelines, and play a central role in shaping our AI platform.

Key Responsibilities

  • Architect, develop, and deploy production-grade AI models for medical image analysis (ultrasound, MRI)
  • Lead research and development in segmentation, classification, multi-task learning applications
  • Fine-tune and integrate large language models (LLMs) for clinical NLP tasks and decision support
  • Drive model explainability (XAI) and regulatory-aligned transparency in clinical workflows
  • Design robust CI/CD/CT/CM pipelines for scalable AI/ML infrastructure
  • Lead MLOps initiatives including experiment tracking, automated training pipelines, and model versioning
  • Collaborate with cross-functional teams (radiologists, software engineers, regulatory experts) to co-develop clinically impactful solutions
  • Stay at the forefront of deep learning research and translate SOTA methods into practical, performant systems

Requirements

Qualifications

  • BSc in Computer Science, AI, Electrical Engineering, or a related field (MSc/PhD strongly preferred)
  • 5+ years of experience in deep learning, computer vision, or medical AI
  • Strong proficiency in PyTorch and/or TensorFlow
  • Proven experience with architectures such as CNNs, Transformers, U-Net, EfficientNet, ViTs
  • Deep understanding of model optimization: quantization, pruning, ONNX, TensorRT
  • Experience with large-scale data pipelines, class imbalance handling, and metric-driven training
  • Proficient in Git, experiment tracking tools (e.g., Comet, MLflow), CI/CD automation
  • Ability to lead technically while executing hands-on development when needed
  • Excellent communication and collaborative skills in cross-disciplinary teams

Preferred Qualifications

  • Prior experience in medical imaging (ultrasound, MRI, CT) and real-world clinical deployment
  • Knowledge of privacy-preserving learning (e.g., federated learning) and edge inference
  • Familiarity with CE marking / FDA regulations for medical AI systems
  • Strong cloud infrastructure skills (AWS, SageMaker, Docker, Kubernetes, S3)

Benefits

What We Offer

  • Opportunity to shape the future of AI in healthcare with measurable clinical impact
  • A collaborative, research-driven team passionate about solving real-world challenges
  • Ownership, autonomy, and leadership in a high-growth startup environment
  • Competitive salary based on experience
  • Access to academic collaborations, educational resources, and conference participation

Key Skills

Ranked by relevance

ai deep learning computer vision kubernetes pytorch docker mlflow cloud mlops cicd git aws
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Posted
Aug 13, 2025
Type
Full-time
Level
Mid-Senior
Location
United Kingdom
Company
TRAICK

Industries

IT Services IT Consulting

Categories

Engineering

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