At a Glance
- Tasks: Lead software deployments and create robust machine learning solutions for real-world challenges.
- Company: Join a supportive team at Mind Foundry, tackling urgent Defence and National Security issues.
- Benefits: Enjoy hybrid working, flexible hours, 25 days annual leave, and private healthcare.
- Other info: Dynamic environment with opportunities for personal and professional growth.
- Why this job: Innovate with cutting-edge AI/ML technology and make a real impact on safety and resilience.
- Qualifications: Degree in STEM, strong programming skills, and experience with production infrastructure.
We’re looking for a Machine Learning Engineer (Forward Deployed) to join a supportive, multidisciplinary team delivering real-world AI/ML systems into operational environments. In this role, you’ll lead software 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.
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. You should be willing and eligible to apply for and obtain UK security clearance if you do not hold an existing clearance.
Key responsibilities include:
- Moving models from research/prototype to live, high-impact production environments, adapting those solutions to client-specific data, systems, and interfaces.
- Extending and improving internal ML platforms, tooling, and best practices, incorporating learnings from deployments back into shared frameworks.
Qualifications:
- A 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.
- Hands-on experience with production infrastructure, including Docker, Linux, CI/CD, MLOps, cloud platforms, and model serving architectures.
- 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).
- Broader software engineering experience (e.g. Java, Node.js, React, PostgreSQL, system architecture, DevOps).
We believe in investing in our people by encouraging career and personal development that aligns with your goals and ambitions. We make sure all staff have the tools, time and support they need to shape their own professional development. We want to help you excel at what you do and support your growth within the company.
You’ll enjoy a competitive compensation package and great benefits such as:
- Hybrid working
- Flexible hours
- Professional and personal development
- 25 days of annual leave (plus Bank Holidays and a company-wide break over Christmas)
- Salary Sacrifice Pension scheme with a 5% employer contribution (5% employee contribution)
- Private Healthcare (including dental and optical cover)
- Group Life Cover at three times your annual salary once you pass your probation period
- Enhanced Parental and Sickness Leave
- Dog-friendly office!
For more information, please visit our website or email recruitment@mindfoundry.ai.
In person meet the team at our Summertown office.
Manufacturing Engineering Systems Engineer in Oxford employer: Mind Foundry
Mind Foundry is an exceptional employer, offering a dynamic work environment in Summertown, Oxford, where employees can engage in meaningful projects that leverage advanced AI to address critical challenges in Defence and National Security. With a strong emphasis on personal and professional development, competitive compensation, and a collaborative culture, team members are empowered to shape their careers while making a tangible impact in the Air domain. The company's commitment to innovation and teamwork ensures that every employee has the opportunity to contribute to high-stakes missions alongside a supportive, multidisciplinary team.
StudySmarter Expert Advice🤫
We think this is how you could land Manufacturing Engineering Systems Engineer in Oxford
✨Join Local Manufacturing Groups
Getting involved in local manufacturing groups or associations can seriously boost your visibility. These groups often have insider info on job openings and networking events, plus they help you connect with like-minded folks in the industry. Check out what's happening in your area!
✨Show Off Your Skills in Practical Spaces
Consider participating in workshops or open days at manufacturing companies. It's a great way to show off your hands-on skills in a real-world environment and can sometimes lead to job offers right on the spot. Keep an eye on announcements from local manufacturers for these opportunities!
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✨Apply Directly Through Company Websites
When you find a role at a company you love, like Mind Foundry, apply directly on their website. This way, you’re more likely to be noticed by the hiring team. Plus, showing that you took the time to seek out their application process highlights your genuine interest in the firm!
We think you need these skills to ace Manufacturing Engineering Systems Engineer in Oxford
Some tips for your application 🫡
Showcase Your Technical Skills:In the manufacturing-production sector, it's crucial to highlight your technical skills and experience. Make sure your CV features any relevant qualifications, such as certifications in machinery operation or production management, and don’t forget about any specific systems or software you’re familiar with. This can really set you apart!
Emphasise Teamwork and Communication:Working in manufacturing often means being part of a larger team. Highlight your experience in collaborative projects or environments where communication was key. Maybe you have experience with lean manufacturing principles? Talk about how you worked with your team to improve productivity and maintain quality.
Tailor Your Cover Letter to the Company:Don’t just recycle an old cover letter! Take the time to tailor your cover letter to Mind Foundry specifically. Mention what excites you about their production processes or products, and how your previous experiences can contribute to their goals. We want to see your enthusiasm for the role!
Use Concrete Examples of Your Achievements:When detailing your work experience, include measurable achievements that can demonstrate your impact. Whether it’s improving efficiency by a certain percentage or successfully leading a project, these specifics can make a huge difference. Numbers speak volumes in the manufacturing world!
How to prepare for a job interview at Mind Foundry
✨Know Your Manufacturing Processes
Before you walk into the interview with Mind Foundry, brush up on the specific manufacturing processes relevant to the role. Understanding lean manufacturing principles or quality control techniques could give you a solid edge to discuss how you’d fit into their operations.
✨Technical Questions Are Key
Be prepared for technical questions around machinery, production scheduling, or materials handling. Make sure you can confidently explain how you've dealt with these in past experiences or internships. Knowing industry-specific software could also be a big plus!
✨Showcase Your Problem-Solving Skills
Manufacturing environments often focus on continuous improvement. Be ready to discuss specific instances where you’ve solved a production issue or implemented a process improvement. It’s all about demonstrating your analytical thinking and hands-on approach.
✨Align Your Values with Quality and Safety
In a full-time role, companies like Mind Foundry value commitment to quality and safety. Be prepared to discuss how you prioritise these factors in your work. It’s about showing that you’re not just looking for a job, but that you genuinely care about contributing positively to their production environment.
