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- Tasks: Develop AI solutions for high-stakes military challenges and collaborate with experts.
- Company: Mission-driven tech startup transforming defence with cutting-edge AI tools.
- Benefits: Travel coverage, generous parental leave, 25 days holiday, and subsidised lunches.
- Why this job: Join a pioneering team shaping the future of AI in national defence.
- Qualifications: MSc in Machine Learning or related field, 5+ years experience, strong software skills.
- Other info: Dynamic hybrid work environment in London or Paris with excellent growth potential.
The predicted salary is between 43200 - 72000 ÂŁ per year.
We are partnering with an early‑stage, mission‑driven company at the intersection of AI and national defence to appoint exceptional Machine Learning Engineers. This fast‑growing organisation is transforming mission‑critical combat planning and operational decision‑making by building next‑generation AI software tools for Western forces. Founded in 2023, the company has already secured significant early‑stage funding, including a $10m Seed round in 2024. The founding team is composed of ex‑Palantir and ex‑OpenAI leaders who combine deep sector knowledge with cutting‑edge design and software engineering expertise to deliver state‑of‑the‑art SaaS capabilities leveraging NLP, GenAI, Computer Vision, and Reinforcement Learning technologies.
Position location (hybrid): London (Shoreditch) or Paris (Le Marais). Candidates must be located in one of these cities and open to working in the office.
Primary Responsibilities:
- Shape the company’s AI trajectory by developing solutions to high‑stakes problems.
- Collaborate closely with military experts and the product team to identify and capitalise on high‑impact opportunities.
- Stay at the forefront of innovation by exploring and applying the latest research.
Requirements:
- MSc in Machine Learning, Computer Science, or a related field.
- 5+ years of experience in machine learning, with expertise in modelling, prototyping, and evaluation.
- Strong software engineering skills with a focus on velocity.
- Excellent communication skills and the ability to flourish in a team.
- Python experience with FastAPI; familiarity with Python, TypeScript, or React.
- Experience building for production environments.
Benefits Currently Offered:
- 100% coverage for travel expenses.
- Minimum 3 months fully paid parental leave.
- 25 days holiday plus bonus days for company closure.
- Subsidised lunches in office.
- Private medical insurance.
- Subsidised coaching/training.
- Work‑from‑home allowance to cover office equipment, desk, chair, monitor, etc.
- Fertility support benefits, including financial support for IVF.
- Company off‑sites twice per year.
Structured interview process:
- Introductory interview (45 mins).
- Live coding task (45 mins).
- On‑site interviews + meet the team (half day).
- Final interview with CEO (30 mins).
Note: This company is not currently offering sponsorship to foreign candidates. If you are not able to live and work in either Paris or London without sponsorship, please do not apply.
Machine Learning Engineer employer: Higher - AI recruitment
Contact Detail:
Higher - AI recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Machine Learning Engineer
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those who work at companies you're interested in. A friendly chat can open doors and give you insights that job descriptions just can't.
✨Tip Number 2
Prepare for those interviews! Brush up on your coding skills and be ready to discuss your past projects. We recommend doing mock interviews with friends or using online platforms to get comfortable with the process.
✨Tip Number 3
Showcase your passion for AI! During interviews, share your thoughts on recent advancements in machine learning and how they could apply to the role. This will demonstrate your enthusiasm and keep you memorable.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who take that extra step to connect with us directly.
We think you need these skills to ace Machine Learning Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Machine Learning Engineer role. Highlight your relevant experience, especially in AI and software engineering, and don’t forget to showcase any projects that demonstrate your skills in Python and FastAPI.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about AI and how your background aligns with the company’s mission. Be sure to mention any specific experiences that relate to military applications or high-stakes problem-solving.
Showcase Your Communication Skills: Since collaboration is key in this role, make sure your application reflects your excellent communication skills. Whether it’s through your CV, cover letter, or any additional materials, let us see how you can convey complex ideas clearly and effectively.
Apply Through Our Website: We encourage you to apply directly through our website for the best chance of getting noticed. It’s the easiest way for us to keep track of your application and ensure it reaches the right people!
How to prepare for a job interview at Higher - AI recruitment
✨Know Your Stuff
Make sure you brush up on your machine learning concepts, especially those related to NLP, GenAI, and Computer Vision. Be ready to discuss your past projects and how they relate to the role. This company is looking for someone who can hit the ground running, so show them you’ve got the expertise!
✨Showcase Your Coding Skills
Since there’s a live coding task in the interview, practice coding in Python, particularly with FastAPI. Familiarise yourself with common algorithms and data structures, and be prepared to explain your thought process as you code. It’s all about demonstrating your problem-solving skills under pressure.
✨Communicate Clearly
Excellent communication skills are a must for this role. During the interview, make sure to articulate your ideas clearly and concisely. Practice explaining complex concepts in simple terms, as you’ll need to collaborate closely with military experts and the product team.
✨Research the Company
Take some time to understand the company’s mission and the impact of their work in national defence. Knowing their goals and challenges will help you tailor your answers and show genuine interest. Plus, it’ll give you a chance to ask insightful questions during the interview!
