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. They 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)
We are seeking Machine Learning Engineers who are passionate about using AI technology to solve complex, real-world problems with meaningful societal impact. You will be joining a highly collaborative and talented team that is revolutionising how operational planning is conducted at scale and speed.
Primary Responsibilities:
- Shape the company’s AI trajectory by developing AI solutions to solve high-stakes problems
- Collaborate closely with military experts, along with the product team, to identify and capitalise on high-impact opportunities
- Keep the company 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 an expertise in modelling, prototyping, and evaluation
- Strong software engineering skills with a focus velocity
- Excellent communication skills and the ability to flourish in a team
- Located in London/Paris and open to working in office
Tech Stack:
- Python FastAPI
- Python, Typescript, or React
- Open source LLMs
- Building for production
Benefits Currently Offered (likely to improve as company grows):
- 100% coverage for travel expenses
- Childcare support
- Min. 3 months fully paid parental leave
- 25 days holiday + bonus days for company closure
- Subsidised lunches in office
- Gym membership
- 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
- Menstrual leave/congé menstruel
- Company off-sites twice per year
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
***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***
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