Amicus
Founding ML Engineer / Founding Head of Engineering - London- 120,000
Seniority:
First senior technical hire Focus:
Reasoning engine design, data strategy, early engineering team building
Role Overview You will serve as the companys founding technical leader, architecting a reasoning and simulation engine that models how buildings are constructed. The role blends applied machine learning, data architecture, knowledge-graph design, and organizational leadership. You will help define the technical roadmap through seed stage and lay the foundation for a future Series A engineering organization.
This position requires comfort with ambiguity, strong product intuition, and the ability to translate real-world construction workflows into computational systems. Youll work directly with field teams to ensure models reflect practical construction realities.
Key Responsibilities Technical Build end-to-end data pipelines for, cost catalogues, and historical project information. Select, train, and fine-tune models for sequencing and dependency prediction Develop multimodal embeddings that unify text, geometry, schedules, and metadata. Implement continuous-learning loops using simulation outputs and field feedback. Lead research on construction knowledge representation, ontology design, and explainable reasoning. Collaborate with platform and simulation engineers to integrate models into wider platform Design multi-agent reasoning systems powered by a shared knowledge graph.
Leadership Operate as the founding technical leader prior to CTO hire; then report to the CTO. Define hiring needs and recruit the initial engineering team. Establish early engineering processes (sprints, documentation, compliance, road mapping). Convert customer and field insights into product and model requirements. Represent the technical vision with early partners and construction stakeholders. Contribute to a culture centred on collaboration with manual workers
Requirements 8+ years of experience deploying ML systems in production (start-up or fast-iteration environment strongly preferred). Experience leading teams or cross-functional AI/ML initiatives with PM-style responsibilities. Advanced proficiency in Python and modern ML frameworks Strong background in data architecture and knowledge graphs. Strong education from top university
Bonus: familiarity with 3D Vison model / construction data or something similar Track record of combining research with solid engineering practices. Graduate training in AI, robotics, or computational design is a plus. digital-twin work highly beneficial
Seniority:
First senior technical hire Focus:
Reasoning engine design, data strategy, early engineering team building
Role Overview You will serve as the companys founding technical leader, architecting a reasoning and simulation engine that models how buildings are constructed. The role blends applied machine learning, data architecture, knowledge-graph design, and organizational leadership. You will help define the technical roadmap through seed stage and lay the foundation for a future Series A engineering organization.
This position requires comfort with ambiguity, strong product intuition, and the ability to translate real-world construction workflows into computational systems. Youll work directly with field teams to ensure models reflect practical construction realities.
Key Responsibilities Technical Build end-to-end data pipelines for, cost catalogues, and historical project information. Select, train, and fine-tune models for sequencing and dependency prediction Develop multimodal embeddings that unify text, geometry, schedules, and metadata. Implement continuous-learning loops using simulation outputs and field feedback. Lead research on construction knowledge representation, ontology design, and explainable reasoning. Collaborate with platform and simulation engineers to integrate models into wider platform Design multi-agent reasoning systems powered by a shared knowledge graph.
Leadership Operate as the founding technical leader prior to CTO hire; then report to the CTO. Define hiring needs and recruit the initial engineering team. Establish early engineering processes (sprints, documentation, compliance, road mapping). Convert customer and field insights into product and model requirements. Represent the technical vision with early partners and construction stakeholders. Contribute to a culture centred on collaboration with manual workers
Requirements 8+ years of experience deploying ML systems in production (start-up or fast-iteration environment strongly preferred). Experience leading teams or cross-functional AI/ML initiatives with PM-style responsibilities. Advanced proficiency in Python and modern ML frameworks Strong background in data architecture and knowledge graphs. Strong education from top university
Bonus: familiarity with 3D Vison model / construction data or something similar Track record of combining research with solid engineering practices. Graduate training in AI, robotics, or computational design is a plus. digital-twin work highly beneficial