Manager, AI Engineering (AI)

Location: Fully remote within the United Kingdom

Salary: £100,000–£150,000 for UK Tier 1; £85,000–£128,000 for UK Tier 2

Company

SandboxAQ is a high-growth AI company developing Large Quantitative Models for life sciences, financial services, navigation, cybersecurity, and other sectors.

What you will do

• Lead and grow a small, highly technical team while contributing hands-on engineering and research.
• Set technical direction, break down ambiguous problems, and establish practical plans for fast, high-quality execution.
• Develop agentic capabilities for monitoring, guardrailing, evaluation, security, quality measurement, and human-agent collaboration.
• Perform exploratory data analysis, feature engineering, model fine-tuning, and rapid prototyping based on product feedback.
• Work with Product and Research to translate AI research into applicable features and software engineering projects.
• Deliver production-ready code and technical designs for scalable and reliable software while mentoring engineers and raising quality standards.

Requirements

• BSc in Computer Science or a related field with exposure to AI/ML.
• Deep expertise in AI/ML, software engineering, or AI security.
• Strong Python programming skills and experience with relevant ML and/or agentic frameworks.
• Demonstrated ability to work cross-functionally and collaboratively with end-to-end ownership and deliver real-world outcomes.
• Ability to learn additional programming languages and technologies as needed to ship scalable and reliable software.

Nice to have

• PhD in Computer Science or a related field focused on AI/ML or a similar area.
• Hands-on experience with agent orchestration, agent harnesses, agent teams, jailbreaking or prompt injection, red teaming, data poisoning or evasion attacks, secure model deployment or sandboxing, or AI misuse detection and monitoring.
• Experience contributing to open-source projects.
• Experience in a fast-paced startup environment.
• Cybersecurity experience.

Culture & Benefits

• Fully remote work with flexible work arrangements, flexible paid time off, and company-wide seasonal breaks.
• Medical, dental, and vision coverage for employees and dependents with employer premium contributions.
• Retirement savings with company matching, paid parental leave, and family-building benefits.
• Competitive base salary, performance-based incentives or bonuses where applicable, and equity participation.
• Continuous learning through on-the-job development, cross-functional collaboration, and internal learning programs.
• Multidisciplinary collaboration with AI, chemistry, cybersecurity, physics, mathematics, medicine, and engineering specialists.