Forward Deployed Machine Learning Engineer

Overview

We’re looking for a Forward Deployed Machine Learning Engineer to join a supportive, multidisciplinary team delivering real-world AI/ML systems into operational environments. In this role, you’ll lead deployments, working closely with users and stakeholders to translate their problems into robust, production-ready machine learning solutions. You’ll rapidly explore, prototype, and deploy ML approaches both within and beyond our core product offerings, taking ownership from initial concept through to live operation.

Working at the forefront of applied AI alongside experts across multiple disciplines, you’ll help users defend against Defence and National Security threats, directly contributing to safer, more resilient systems deployed where they matter most.

Mind Foundry works on some of the most complex and urgent challenges in Defence and National Security. We specialise in supporting customers across the community to make sense at the speed of relevance from the ever-increasing volumes of data collected by sensors and systems. We often find ourselves working at the edge in complex environments where power, compute, and bandwidth are in short supply.

The work is challenging, the customer needs products and applications they can trust, and the sense of achievement is therefore substantial.

This is an opportunity to innovate at the forefront of applied machine learning, tackle high-impact real-world problems, grow your technical skills, and shape the way AI/ML solutions are delivered to critical operational environments.

This role can be office-based or hybrid, with you expected to work from our Summertown, Oxford office at least one day per week. You will be required to travel to client sites and work at partner locations as needed.

You should be willing and eligible to apply for and obtain UK security clearance if you do not hold an existing clearance.

• Adapting solutions to client-specific data, systems, and interfaces by optimising data pipelines, training workflows, and inference paths for performance, scalability, and reliability.
• Resolving unforeseen edge cases and challenges, providing on-site fixes or relaying them back to the product team.
• Troubleshooting integration issues with existing systems.
• Working directly with product teams to maintain deep technical expertise in Mind Foundry's products, capabilities and workflows.
• Engaging directly with defence customers to translate their needs and goals into technical requirements.
• Providing hands-on support to end users.
• Extending and improving internal ML platforms, tooling, and best practices, incorporating learnings from deployments back into shared frameworks.

• Degree in Computer Science, Applied Mathematics, Statistics, Physics, or a related STEM field (or equivalent practical experience)
• Strong engineer with demonstrated proficiency in programming languages such as Python, producing clean, reproducible, well-tested, and well-documented code suitable for long-term ownership and handover.
• Ability to communicate complex technical concepts clearly to both technical and non-technical audiences.
• Exceptional problem-solving skills and comfortable working in ambiguous, fast-moving environments, often embedded with customers or delivery teams.

• Prior experience working with government customers, defence contractors, or in military environments.
• Experience in areas of model development, data processing and streaming (Spark, Kafka), microservices in python (Flask or FastAPI), and interactive visualisations and User Interfaces (Streamlit, Plotly, Gradio etc).
• Hands-on experience with production infrastructure, including Docker, Linux, CI/CD, MLOPs, cloud platforms, and model serving architectures.
• Broader software engineering experience (e.g. Java, Node.js, React, Postgre
  
  SQL, system architecture, Dev Ops).

While we think the above experience is important, we’re keen to hear from people that believe they have valuable skills, ideas, or perspectives that will make an impact in this role. If our team and mission resonate with you, but you do not necessarily meet all of our requirements, we still…