Machine Learning Engineer

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:

1. Introductory interview – 45 mins
2. Live coding task – 45 mins
3. On-site interviews + meet the team – half day
4. 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***