Machine Learning Engineer
hace 4 días
City of London
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