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Fyld

AI platform for field operations

Machine Learning Engineer

Applied Machine LearningConfirmed live in the last 24 hours
Full-timeNo salary listedIn-person

About the Job

Requirements

  • A Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, Mathematics, or a related field.
  • Strong programming skills in Python.
  • Experience developing and deploying machine-learning models using frameworks such as scikit-learn, TensorFlow, or PyTorch.
  • Experience building scalable machine-learning pipelines and production-ready solutions.
  • Knowledge of MLOps practices and tools such as MLflow, Kubeflow, or similar.
  • Experience with cloud machine-learning platforms such as Azure Machine Learning, AWS SageMaker, or Google Vertex AI.
  • Familiarity with feature engineering, model evaluation, and model monitoring.
  • Experience integrating machine-learning models into APIs or backend applications.
  • Knowledge of SQL and data-processing techniques.
  • Fluency in English.

Responsibilities

  • Design, deploy, and optimize machine-learning solutions.

Desired Qualifications

  • Experience with Docker, Kubernetes, and CI/CD pipelines.

About the Company

Fyld

AI platform for field operations

Fyld is a London-based AI platform for field operations in infrastructure and utilities. Its mobile-first system lets crews capture video, audio, photos and text, while AI risk assessment, digital work execution and remote visibility help managers improve safety, productivity and first-time-right delivery. It serves utilities, energy, highways/transport, construction and heavy manufacturing, focusing on large organizations with tens of thousands of workers and providing real-time remote oversight. Its goal is to scale the platform and expand in the US, backed by a Series B and strategic investors to accelerate growth.

Company size
51-200
Company stage
Series B
Total funding
$99.1M
Headquarters
London, United Kingdom
Founded
2020

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