At a Glance
- Tasks: Design and develop innovative machine learning models for advanced metal manufacturing.
- Company: Join Alloyed, a cutting-edge venture-funded company revolutionising metal components.
- Benefits: Competitive salary, dynamic work environment, and opportunities for professional growth.
- Other info: Fast-paced team culture with continuous recruitment for top talent.
- Why this job: Make a real impact in the future of materials with your machine learning skills.
- Qualifications: Bachelor's degree in relevant fields and strong Python development skills required.
The predicted salary is between 36000 - 60000 £ per year.
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.
Machine Learning Engineer in Yarnton employer: Alloyed
Alloyed is an exceptional employer that fosters a dynamic and innovative work culture, where collaboration among world-class metallurgists, engineers, and software developers drives the development of cutting-edge machine learning solutions for advanced metal components. Employees benefit from continuous growth opportunities, working in a fast-paced environment that encourages creativity and problem-solving, all while being part of a venture-funded company at the forefront of material science. Located across multiple sites in the UK, Alloyed offers a unique chance to contribute to meaningful projects that shape the future of manufacturing.
StudySmarter Expert Advice🤫
We think this is how you could land Machine Learning Engineer in Yarnton
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with Alloyed employees on LinkedIn. A personal introduction can make all the difference when it comes to landing that interview.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your machine learning projects, especially those related to material science or MLOps. This will give you an edge and demonstrate your hands-on experience to potential employers.
✨Tip Number 3
Prepare for technical interviews by brushing up on your Python skills and MLOps tools like Airflow and MLflow. Practice coding challenges and be ready to discuss your past projects in detail—this is your chance to shine!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, keep an eye on our continuous recruitment efforts—early birds catch the worm!
We think you need these skills to ace Machine Learning Engineer in Yarnton
Some tips for your application 🫡
Craft a Compelling CV:Your CV is your first impression, so make it count! Highlight your relevant skills and experiences that align with the Machine Learning Engineer role. Keep it concise and ensure it's easy to read – we want to see your strengths shine through!
Nail the Supporting Statement:This is your chance to tell us why you're the perfect fit! Use specific examples to demonstrate how you meet the selection criteria. Be clear and direct, and don’t forget to show your passion for machine learning and innovation.
Format Matters:Remember to save all your documents as PDFs before sending them over. This ensures that your formatting stays intact and looks professional when we review your application. A little attention to detail goes a long way!
Get Your Referees Ready:Make sure your referees are on board and ready to chat with us if needed. It’s a good idea to let them know about the role you’re applying for, so they can provide relevant insights about your skills and experiences.
How to prepare for a job interview at Alloyed
✨Know Your Stuff
Make sure you brush up on your machine learning models and MLOps tools like Airflow and MLflow. Be ready to discuss specific projects where you've applied these skills, as Alloyed will want to see how you can contribute to their innovative work.
✨Show Your Passion
Alloyed is looking for someone who’s genuinely interested in material discovery and data visualisation. Share examples of how you've engaged with real-world datasets or any personal projects that showcase your enthusiasm for the field.
✨Collaborate Like a Pro
Since the role involves working closely with engineers and scientists, highlight your teamwork skills. Prepare to discuss how you've successfully collaborated in past projects, especially in fast-paced environments, to demonstrate your ability to fit into their agile team.
✨Ask Smart Questions
Prepare thoughtful questions about Alloyed's projects and future directions. This shows your interest in the company and helps you gauge if it’s the right fit for you. Think about asking how they approach model governance or what challenges they face in material optimisation.
