At a Glance
- Tasks: Build and deploy cutting-edge machine learning solutions for Defence clients.
- Company: Join a leading tech firm focused on ethical AI in the defence sector.
- Benefits: Competitive salary, flexible working, and opportunities for professional growth.
- Other info: Collaborative team culture with a focus on autonomy and career advancement.
- Why this job: Make a real-world impact with innovative AI technology in high-stakes environments.
- Qualifications: Strong Python skills and experience with ML frameworks like TensorFlow or PyTorch.
The predicted salary is between 60000 - 80000 £ per year.
Requirements
- Because of the nature of the work we do with our Defence clients, you will need to be eligible for UK Security Clearance (SC).
- You understand the full machine learning lifecycle and have experience operationalising models built with frameworks like Scikit-learn, TensorFlow, or PyTorch.
- You possess strong Python skills and solid experience in software engineering best practices.
- You bring hands-on experience with cloud platforms and infrastructure (e.g., AWS, Azure, GCP), including architecture and security.
- You've worked with container and orchestration tools such as Docker & Kubernetes to build and manage applications at scale.
- You are comfortable with core ML concepts, including probability, statistics, and common learning techniques.
- You're an excellent communicator, able to guide technical teams and confidently advise non-technical stakeholders.
- You thrive in a fast-paced environment and enjoy the autonomy to own scope, solve, and deliver solutions.
What the job involves
- Our Defence team is focused on building and embedding human-centered AI solutions which give our nation a competitive edge in the defence sector. We collaborate with our clients to bring ethical, reliable and cutting-edge AI to high-stakes situations and maintain the balance of global powers essential to our liberty.
- You will be instrumental in bringing machine learning out of the lab and into the real world, contributing to scalable software architecture and defining best practices.
- Working with clients and cross-functional teams, you'll ensure technical feasibility and timely delivery of high-quality, production-grade ML systems.
- Building and deploying production-grade ML software, tools, and infrastructure.
- Creating reusable, scalable solutions that accelerate the delivery of ML systems.
- Collaborating with engineers, data scientists, and commercial leads to solve critical client challenges.
- Leading technical scoping and architectural decisions to ensure project feasibility and impact.
- Defining and implementing Faculty’s standards for deploying machine learning at scale.
- Acting as a technical advisor to customers and partners, translating complex ML concepts for stakeholders.
Machine Learning Engineer employer: Dormont Manufacturing Co
As a Machine Learning Engineer in our Defence team, you will join a forward-thinking company that prioritises innovation and ethical AI solutions. We foster a collaborative work culture that encourages autonomy and professional growth, offering opportunities to work on impactful projects that enhance national security. With access to cutting-edge technology and a commitment to employee development, we provide a rewarding environment for those looking to make a difference in the defence sector.
We think you need these skills to ace Machine Learning Engineer
Machine Learning Lifecycle
Scikit-learn
TensorFlow
PyTorch
Python
Software Engineering Best Practices
Cloud Platforms (AWS, Azure, GCP)
