5 months ago
London, United KingdomStaff+
Responsibilities
- Lead and mentor a team of Applied Scientists and AI/ML Engineers.
- Set the technical strategy for AI/ML solutions using structured CRM data and unstructured content.
- Build autonomous agentic workflows and real-time reasoning engines for an AI-native CRM.
- Partner with the AI Platform team on large language model operations and production deployment infrastructure.
- Design optimized, customer-focused AI systems and data-intensive solutions.
- Shape the AI engineering roadmap and provide technical leadership across the AI/ML and data ecosystem.
- Serve as a hands-on technical leader on critical systems while delegating effectively and developing team capabilities.
Requirements
- 8+ years of applied science or engineering experience in high-scale production environments.
- Proven ability to lead and scale technical teams, mentor senior talent, and raise organizational technical standards.
- Deep expertise in AI engineering, including agentic system orchestration such as LangGraph, RAG architectures, and vector databases.
- Experience delivering AI/ML solutions that create customer and business value at scale.
- Broad understanding of machine learning, deep learning, AI, models, and agentic frameworks.
- Strong product sense and business awareness with the ability to connect technical decisions to user outcomes.
- Ability to lead through influence and technical authority while partnering with platform teams.
- Understanding of AWS or GCP, distributed systems, container orchestration, and data engineering including batch pipelines, feature stores, and Kafka.
- Scientific training combined with a pragmatic focus on shipping iterative, production-ready solutions.
Benefits
- Flexible hours, wellness perks, SWAG, performance-based bonuses, 28 paid leave days, well-being days, compassionate leave, and pawternal leave.
- Mentorship, coaching, internal mobility, open feedback, and professional growth opportunities.
- Inclusive, international, people-first culture with collaborative teams.
- Hybrid work arrangement, as indicated by the posting.
- Applicants must already have the legal right to work in the UK without visa sponsorship or relocation assistance.
Tech Stack
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