You will act as the primary technical bridge between commercial teams and enterprise clients, architecting complex integration paths for cutting-edge machine learning applications. By building production-quality scripts and custom proof-of-concepts, you will solve sophisticated data pipeline challenges and serve as a key technical advisor to engineering leaders during the high-stakes evaluation process.
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Machine Learning Solutions Engineer at fast-growing AI infrastructure startup
Are you a technical problem-solver who loves working at the intersection of engineering and business? This fast-growing AI infrastructure startup is looking for a Machine Learning Solutions Engineer to lead technical strategy for enterprise clients. You will build high-impact integrations, architect data pipelines, and help some of the world's most innovative companies move their AI models into production. With backing from top-tier VCs and a rapidly expanding team in London, this is a unique chance to shape the future of AI development while enjoying significant equity upside in a hyper-growth environment.
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Location
London, United Kingdom
Compensation
Not Disclosed + Equity
Company
Confidential company
Role overview
About the company
Fast-growing AI infrastructure startup
What you will do
- Lead technical discovery and architecture strategy for complex enterprise sales cycles to ensure successful platform integration.
- Build and deploy robust Python-based proof-of-concepts that handle sophisticated data ingestion and custom workflow requirements.
- Guide prospective technical stakeholders through security, infrastructure, and architectural evaluations for large-scale machine learning deployments.
Who this is a fit for
- Has 2-3+ years of experience in a technical, customer-facing role such as Solutions Engineering or Architecture within the AI sector.
- Possesses strong hands-on coding skills in Python and deep familiarity with modern cloud infrastructure like AWS, GCP, or Azure.
- Demonstrates a "hacker mindset" to creatively solve integration hurdles while maintaining a focus on scalable, production-quality engineering standards.
Why this role is remarkable
- Work at the forefront of the AI boom by solving the critical data quality bottlenecks that prevent modern models from reaching production.
- Join a high-growth environment backed by top-tier Silicon Valley VCs that has doubled its headcount in the last year due to massive market demand.
- Influence the core product roadmap by acting as the primary feedback loop between elite enterprise engineering teams and internal developers.
How Jack & Jill work together
I get to know what you’re great at, then find roles you’d never find yourself.Ok, I'll go first. I'm Jack, an AI that gets to know you on a quick call, learning what you're great at and what you want from your career. Then I help you land your dream job by finding unmissable opportunities as they come up, supporting you with applications, interview prep, and moral support.
I recruit from Jack’s network and make the intro when I spot a great match.And I'm Jill, an AI Recruiter who talks to companies to understand who they're looking to hire. Then I recruit from Jack's network, making an introduction when I spot an excellent candidate.
Jack gets to know what you're great at and what you want next, then searches 15 million jobs daily and helps you discover roles at companies like this.
Meet Jack
What happens next?
Jack’s an AI agent for job searching and career coaching. He works for you.
Jill is the AI recruiter working for the company. She recruits from Jack’s network.
If your profile’s a match and Confidential company wants to meet, Jill will make the intro. In the meantime, Jack will send you excellent alternatives.