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Lead Machine Learning Engineer (Agentic Infrastructure), london
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Client:
Codesearch AI
Location:
london, United Kingdom
Job Category:
Other
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EU work permit required:
Yes
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Job Views:
1
Posted:
25.05.2025
Expiry Date:
09.07.2025
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Job Description:
Over the past 8 years, Codesearch AI have had the pleasure to work with some of the most ground-breaking and successful starts ups around. We can safely say this company is as exciting as it gets.
We are an exclusive partner to a YC-backed start-up thats building truly transformative AI technology. Their agentic AI platform goes well beyond chat interfaces, offering ground-breaking memory capabilities that solve real enterprise problems with unprecedented accuracy. As validation of their innovative approach, one of the worlds most widely used AI tools is already exploring adoption of their technology.
With a founding team of accomplished researchers and engineers from organizations like LinkedIn and FAIR, theyre now expanding their core team to bring this revolutionary product to market.
The Role
Theyre seeking their first dedicated ML Engineer to help productise their Agentic AI platform. This role is perfect for someone who loves to move fast, ship usable systems, and operate at the intersection of LLMs, infrastructure, and software engineering.
What Youll Be Doing
* Take working prototypes of LLM-based agents and productize them into scalable, robust systems
* Build infrastructure and pipelines to support and integrate AI Agents in real-world enterprise environments
* Collaborate with the founding team to integrate models into internal and external user flows
* Write clean, production-ready code - often improving or refactoring existing prototypes
* Think holistically about agent lifecycle, observability, failure handling, and scalability
* Help define the tech stack and architecture for core components of the platform
Contribute to novel research and publish at top conferences when opportunities arise
What Youll Have
* MSc or PhD in Machine Learning, Computer Science or a related field
* 5+ years of experience in ML engineering, MLOps and/or backend/infra-focused roles
* Experience integrating LLMs into enterprise SaaS or internal tooling
* Strong Python experience with ML/LLM libraries (e.g., Transformers, LangChain, LangGraph, OpenAI APIs)
* Experience with cloud platforms (AWS, GCP, or Azure), deployment, and CI/CD pipelines
* Familiarity with containerization (Docker, Kubernetes) and observability (e.g., Prometheus, Grafana)
* A builder mindset: youre comfortable with ambiguous specs, early-stage infrastructure, and iterating fast
* Excellent communication and self-management skills
Nice To Have
* Familiarity with agentic frameworks, orchestration tools, or vector databases
* Background in DevOps/MLOps or platform engineering
* Passion for building something from scratch and seeing the impact of your work in production
What We Offer
* Competitive salary with equity options based on experience and profile
* Flexible work arrangements with remote/hybrid options
* Comprehensive health benefits and wellness programs
* Professional development budget for conferences and continued learning
* A front-row seat to the agentic AI evolution
* Full ownership and trust over your code and system decisions
* A lean, expert team with direct access to product, users, and strategic investors
Opportunity to shape the future of AI in a fast-growing market segment
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