Founding Engineer - South East
Listed on 2026-06-21
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IT/Tech
AI Engineer (Applied/Software), Machine Learning/ ML Engineer, AWS, Cloud Computing: Infrastructure & Operations
Salary: £50,000 - 70,000 per year
Requirements- Several years of experience in software engineering, data engineering, or AI engineering roles
- Strong academic background in Computer Science, Engineering, Mathematics, or a similar discipline
- Experience working in a product-led technology environment such as SaaS or an AI platform
- Proven ability to ship production-grade AI or data systems
- Strong Python engineering capability
- Experience with modern machine learning and large language model systems and frameworks
- Exposure to cloud-based AI and machine learning platforms such as AWS, Azure, or GCP
- Comfortable working in early-stage environments with ambiguity and ownership
- Strong communication skills and ability to work directly with technical and non-technical stakeholders
- Hands‑on mindset with the ability to build systems end‑to‑end
- Collaborative, but able to take full ownership of technical decisions
- Interest in building foundational systems rather than only features
- Highly valued: exposure to cyber security, identity, or access management
- Highly valued: experience in cloud operations, Dev Sec Ops , or infrastructure‑heavy environments
- Highly valued: experience in regulated or enterprise‑scale domains
- Highly valued: knowledge of enterprise data governance, data modelling, or integration architecture
- Design and build core components of our AI‑native enterprise platform from the ground up
- Develop and deploy machine learning and large language model‑based systems in production environments
- Build scalable data and AI pipelines across complex enterprise datasets
- Work closely with early enterprise customers to refine requirements and shape product direction
- Define and implement system architecture for our AI, data, and integration layers
- Build agentic AI workflows and knowledge‑driven systems using modern large language model frameworks
- Implement robust MLOps pipelines for model training, deployment, monitoring, and governance
- Contribute directly to production code in Python and related AI and data tooling
- Support technical decision‑making around cloud architecture, scalability, and system design
- Help establish engineering best practices in a fast‑moving early‑stage environment
- Influence core system architecture, AI and machine learning strategy, data modelling, enterprise integration patterns, and engineering standards
- Mentor engineers and help shape technical direction while remaining hands‑on in delivery
- AI
- AWS
- Azure
- Cloud
- Dev Sec Ops
- GCP
- Support
- Machine Learning
- Python
- Security
- AWS Glue
- IAM
- LLM
- Py Torch
- Tensor Flow
We are an early‑stage technology company building AI‑native systems that help large organisations better understand, govern, and secure complex data and identity ecosystems. We operate at the intersection of AI, cyber security, and enterprise data platforms, with a mission to transform how organisations model access, risk, and data relationships across distributed cloud environments. Our team is small, highly technical, and product‑focused, with a strong bias toward ownership, rapid iteration, and building systems that work in complex real‑world enterprise environments.
This is a high‑impact founding role based in London with a hybrid and flexible working model, offering a competitive salary, bonus, equity or stock options, private medical insurance, and significant influence over product direction and architecture.
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