At a Glance
- Tasks: Design and build AI/ML systems to tackle real-world Defence challenges.
- Company: Join a dynamic team at Mind Foundry, where innovation meets impact.
- Benefits: Enjoy competitive pay, 25 days leave, private healthcare, and personal development opportunities.
- Other info: Work in a pet-friendly office with great career growth potential.
- Why this job: Make a difference with cutting-edge technology in a supportive, collaborative environment.
- Qualifications: 2+ years in software engineering, strong Python skills, and a passion for AI/ML.
We’re looking for a Software Engineer to join a supportive, multidisciplinary team developing AI/ML systems to solve critical Defence and National Security challenges. In this role, you’ll work alongside talented software engineers, scientists, designers, and product specialists to build elegant, maintainable, and impactful data-centric solutions. You'll join one of our product teams, helping design and deliver AI-powered software to support user adoption and deployment of our product. You’ll work closely within a multidisciplinary team to deliver high-quality, impactful technology that blends innovation with real-world value.
Mind Foundry is at an exciting stage of growth, with increasing demand for AI-enabled capability across our markets. We specialise in helping customers make sense of the ever-increasing volumes of data collected by sensors, platforms and systems at the speed of relevance. We often find ourselves working at the edge in complex environments where power, compute, and bandwidth are in short supply. As a Machine Learning Engineer, you’ll work on problems that are technically challenging, operationally important and genuinely meaningful. You will help turn advanced AI and ML approaches into deployable capability that can support better, faster decision-making in demanding real-world environments. What makes the work distinctive is the combination of technical depth, practical engineering and responsible delivery. 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.
Because of the nature of this work:
- You will be required to travel to and work from client sites and partner locations. When not working onsite, this role can be office-based or hybrid from our Summertown, Oxford office.
- You will need to hold existing or be eligible for UK Security Vetting (SC), details of which can be found on the Gov UK website.
Key day-to-day activities:
- Design, build, and maintain scalable web applications using modern technologies.
- Collaborate cross-functionally with engineers, designers, and scientists to deliver new product features and client solutions.
- Own technical delivery, managing development tasks from design through to deployment.
- Contribute to architectural decisions that shape the direction of our platforms and consulting projects.
- Champion software quality, implementing best practices for testing, documentation, and CI/CD.
- Participate in Agile development, contributing to sprint planning, reviews, and retrospectives.
- Foster continuous learning, knowledge sharing, and technical excellence across the team.
Core Skills & Experience:
- 2+ years of commercial software engineering experience across back-end systems and platform.
- Strong proficiency in Python, APIs, and relational databases.
- Experience developing and maintaining full-stack web applications.
- The ability to work independently and manage workload effectively in a contract-based environment.
- Experience working in an Agile or iterative development process.
- Understanding of DevOps principles, tools, and culture.
- A degree in a technical discipline (e.g., Computer Science, Mathematics, Physics) or equivalent experience.
- Strong communication skills and the ability to work effectively in cross functional teams.
- Strong familiarity with CI/CD, testing frameworks, and deployment automation.
- Exposure to Machine Learning, AI, or Data Science, especially deploying ML systems in production.
Our Core Technology Stack:
- Frontend: React, TypeScript
- Backend: Python (Machine Learning)
- Databases: PostgreSQL
- Infrastructure: Kubernetes, Cloud-native environments
Nice to have:
- Knowledge of Kubernetes, Helm and Docker/containerisation concepts, with hands-on experience designing, deploying, and maintaining Kubernetes environments in production.
- Broader software engineering experience such as scripting, UI/UX, design, or data engineering.
- Experience working directly with clients or end users to gather requirements and deliver tailored solutions.
- Experience developing embedded software, FPGA's or C/C++.
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 our requirements, we still encourage you to apply.
Why Mind Foundry?
At Mind Foundry, people have the opportunity to work on problems that are technically challenging, operationally important and genuinely meaningful. We are a close-knit, multidisciplinary team working on complex problems where advanced AI has the potential to make a meaningful difference in the real world. Our work sits at the intersection of research, engineering, product, customer need and operational impact, which means everyone can contribute beyond their job title. What makes Mind Foundry different is the way we combine technical excellence with pragmatism, responsibility and partnership. We are ambitious about what AI can achieve, but thoughtful about how it should be designed, deployed and trusted. Our teams work closely together, challenging ideas constructively, learning quickly and staying focused on building capability that is useful, credible and operationally relevant. As a growing business, we offer the opportunity to have visible impact. You will be close to the customers, the technology and the decisions that shape our direction. We value people who ask good questions, bring others with them, and take ownership. This is an exciting time to join Mind Foundry. Demand for trusted, deployable AI capability is increasing, our products and partnerships are maturing, and our work is helping to shape how advanced machine learning can support Defence and National Security in challenging operational environments.
If you are motivated by meaningful work, collaborative teams and the chance to help build something with real-world importance, Mind Foundry is a place where you can make a genuine contribution.
What do we offer?
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:
- EMI options scheme
- 25 days of annual leave plus Bank Holidays
- Salary Sacrifice Pension scheme
- Private Healthcare (including dental and optical cover)
- Group Life Cover at three times your annual salary
- Enhanced Parental and Sickness Leave
- Workplace Nursery Scheme
- Volunteering days
- Pet friendly office
- Professional and personal development
For more information, please visit our website www.mindfoundry.ai or email recruitment@mindfoundry.ai
Interview Process:
- Initial discussion with the People team
- TestDome coding exercise
- 60 minute interview with two members of the Science & Engineering Team
- 90 minute technical interview, including a 10 minute presentation and live coding exercise
- In person meet the team at our Summertown, Oxford office
Software 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 Software Engineer in Oxford
✨Join Local Tech Meetups
Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at Mind Foundry or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!
✨Contribute to Open Source Projects
Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to Mind Foundry.
✨Tap into Online Developer Communities
Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like Mind Foundry.
✨Explore Job Boards Specifically for Tech Roles
Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like Mind Foundry that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!
We think you need these skills to ace Software Engineer in Oxford
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at Mind Foundry.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Mind Foundry and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at Mind Foundry
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If Mind Foundry uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.