At a Glance
- Tasks: Design and deploy AI-powered software to solve real-world challenges in defence.
- Company: Join Hadean, a cutting-edge deep-tech company revolutionising digital environments.
- Benefits: Enjoy hybrid working, private health insurance, enhanced pension, and extra holiday days.
- Other info: Collaborative culture with opportunities for continuous learning and career growth.
- Why this job: Be part of an innovative team shaping the future of defence technology.
- Qualifications: 3+ years in AI development, strong coding skills in TypeScript or Python.
The predicted salary is between 72000 - 88000 £ per year.
Hadean is a deep-tech company building cutting-edge distributed computing technology that powers scalable, secure, and interoperable digital environments.
Our platform enables real-time simulation and training, mission rehearsal, command & control and digital twin capabilities - transforming the way defence, government agencies and enterprises plan, train, and make decisions.
We work at the forefront of defence innovation, collaborating with global partners to deliver next-generation capabilities that unlock operational advantage.
The Team
domin AI is a close-knit team of highly technical, deeply collaborative engineers — each bringing genuine specialism to a shared mission.
We move fast, hold each other to a high standard, and take real pride in what we ship.
We work in sprints, building MVPs that are regularly taken out to industry events, integration hackathons, and live demonstrators.
There's no waiting months to see your work matter - the feedback loop between building and showing is tight, and it shapes what we build next.
We're also a team that invests in itself: continuous learning, honest retrospectives, and a genuine culture of craft are part of how we operate.
This is a brand new product for Hadean. We're building it quickly and building it right - and the people who join now will shape its direction.
The Role
This is an opportunity to be part of something that doesn't exist yet — at least not in the way we're building it.
We're combining rich data from best-in-class defence software and hardware, presenting it through a modern command and control interface, and bringing the latest AI techniques to bear on some of the most critical analysis and planning challenges in the defence sector.
The goal is to give decision-makers information advantage at the moment it matters most.
As a Senior AI Engineer in domin AI, you will be responsible for integrating Large Language Models and broader AI capabilities into production-grade software that real operators will depend on.
You'll work as a core member of a cross-functional team alongside Product Managers, other engineers, and domain experts - translating ambitious product requirements into reliable, scalable, and impactful technical solutions.
This isn't a role about exploring AI in theory.
It's about shipping AI that works, in conditions that matter, to users with no tolerance for failure.
If that challenge excites you, you'll fit right in.
Key Responsibilities
- Design, build, and deploy production-grade software that integrates AI to solve complex, real-world user problems.
- Research and evaluate emerging AI architecture patterns - RAG, agentic workflows, evals, fine-tuning, LLM orchestration - and apply findings directly to the product.
- Collaborate closely with Product Managers and cross-functional teammates to translate requirements into technical solutions that ship.
- Mentor and upskill engineers across the team on AI technologies and best practices, raising the collective capability of the group.
- Champion and embed agentic engineering tools and practices into the team's daily workflow to accelerate delivery.
- Write clean, maintainable, and efficient code in Type Script and/or Python, holding yourself and others to a high standard.
- Ensure the reliability and scalability of AI-powered features in a production environment - this software operates in demanding contexts.
- Stay current with the rapidly evolving AI landscape; bring ideas back to the team and help shape our technical direction.
Skills, Knowledge and Experience
- 3+ years professionally developing products involving AI or LLMs
- Proven experience deploying AI in a production software environment - you've shipped things and learned from them.
- Deep understanding of AI architectures and patterns: RAG, prompt engineering, fine-tuning, evals, and LLM orchestration.
- Strong background as a generalist software engineer with proficiency in Type Script and/or Python.
- Ability to research complex technical topics and apply findings to deliver practical, production-ready solutions.
- Experience mentoring or teaching others in a technical capacity.
- Strong problem-solving instincts and a genuine appetite for hard challenges.
- Must be able to obtain and maintain Security Vetting to at least SC level.
- Willingness to attend our Shoreditch office at least once a week.
- What will help you stand out
- Experience with systems programming languages like C++ or Rust.
- Familiarity with the defence sector, Military Modelling and Simulation, or C2 systems.
- An interest in travelling to support customer deployments, hackathons, and industry events - getting your work in front of real users, fast.
- We make Hadean an awesome place to work with competitive benefits
- Hybrid working with 1 day per week in our fantastic office in Shoreditch, London
- Private Health Insurance
- Enhanced pension scheme
- Enhanced parental leave
- 3 extra days off at Christmas (on top of our standard 25)
- Regularly scheduled socials
- Share options
- A Place For Everyone
We believe diversity drives innovation and for that reason we strongly encourage those from all backgrounds to apply for roles at Hadean.
We are an equal opportunity employer and aim to build a workforce that is truly representative of the communities in which we operate and our clients.
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Machine Learning Engineer employer: Hadean
Hadean is an exceptional employer, offering a dynamic work environment where innovation meets real-world impact in the defence technology sector. With a strong focus on employee growth, competitive benefits including hybrid working, private health insurance, and enhanced parental leave, Hadean fosters a culture of collaboration and inclusivity, ensuring that every team member can thrive while contributing to cutting-edge solutions for defence organisations worldwide.
StudySmarter Expert Advice🤫
We think this is how you could land Machine Learning Engineer
✨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 Hadean 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 Hadean.
✨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 Hadean.
✨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 Hadean 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 Machine Learning Engineer
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 Hadean.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Hadean 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 Hadean
✨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 Hadean 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.