Skills

Python Data Visualization Big Data CI/CD Docker Monitoring Machine Learning Deep Learning Computer Vision Azure AWS cloud platforms Agile Recruitment GCP Terraform Mathematics

Job Specifications

Company Overview

Alloyed is a young venture-funded company of about 150 world-class metallurgists, engineers, and software developers working across 3 sites in the UK, 1 in Japan, and 1 in Seattle to build the future of advanced metal components. To do this it uses proprietary software packages which combine advanced machine learning and physical modelling to invent better alloys, devise better ways to process them, and design better 3D-printed components.

Responsibilities

Design, develop and validate novel machine learning models to optimize manufacturing processes and material composition
Collaborate closely with process engineers, material scientists and other domain experts to identify and engineer the most meaningful features
Develop Alloyed's machine learning platforms to facilitate adoption and application of validated models
Work as part of a fast-paced, agile development team
Identify and prioritize opportunities to rapidly deliver new capabilities
Build and maintain robust MLOps pipelines to support scalable, reproducible, and automated model development, deployment, and monitoring
Leverage tools such as Airflow for workflow orchestration and MLflow for experiment tracking, model registry, and lifecycle management, ensuring strong CI/CD practices and model governance

Essential Skills

Bachelor's degree in science, engineering, mathematics or computer science (2:1 minimum)
Strong python development skills
Practical experience in the development of machine learning models and/or deep learning to solve complex science and engineering problems
Experience with MLOps tools and practices, including Airflow, MLflow, and containerization (e.g., Docker)
A passion for gaining insight into real-world datasets and clearly communicating through data visualization techniques
Interest in material discovery, computer vision, handling big data and optimisation techniques
Highly effective communicator who encourages innovation through collaboration
Natural problem-solver with a desire to learn
Organised and self-motivated

Desired Skills

Master's degree in machine learning, mathematics or statistics
Understanding of probabilistic model development
Experience of Bayesian modelling
Good understanding of software design principles and best practices
Good knowledge of at least one object-oriented language
Familiarity with cloud platforms (e.g., Azure, AWS, GCP) and infrastructure-as-code tools (e.g., Terraform)

How to Apply

To apply, submit a CV and a supporting statement by email to jobs@alloyed.com. The supporting statement should explain how you meet the selection criteria for the role using examples of your skills and any experience. All documents should be uploaded as PDF files. Please provide details of two referees and indicate if we can contact them now.

This is a continuous recruitment effort. We will fill positions as excellent candidates present themselves so your early application is encouraged.