Founding Engineer (Machine Learning)

Plexe AI
London
6 months ago
Applications closed

Direct message the job poster from Plexe AI

Primary Location: London · Canary Wharf HQ (on-site). We plan to open a US office in the next ~6 months and will sponsor transfer visa for team members open to relocation.

Plexe is building AI agents that turn simple plain-English prompts into full production ML applications, including data pipelines, models, and more. We're backed by Y Combinator (X25) and were named one of the spring batch's "Top-10 AI agent startups" by Business Insider.

We're looking for an ML engineer with deep experience in feature engineering, model development, and MLOps. You'll develop multi-agent systems, optimise distributed model training, and create AI agents that autonomously handle the entire ML development lifecycle.

Responsibilities

• Product Development: build distributed ML infra, multi-agent systems, observability, client-facing APIs, and more - eventually owning your own product or product lines.

• Technical Leadership: drive technical decisions and architecture design, helping shape the foundations of our platform.

• Cross-Functional Collaboration: work closely with co-founders to translate business vision and customer feedback into actionable engineering plans.

• Ownership: take full product ownership from ideation to launch, including integration into existing systems. Your roadmap is one quick chat away from reality.

Qualifications

We don't have strict "formal" requirements - we just want to see you're awesome and up for the challenge! That might look like this:

Must-Have:

• 3+ yrs building ML/AI systems that served real users.

• Strong Python; comfort with AWS, Docker, Terraform/CDK, Postgres, etc.

• Solid grounding in ML algorithms, MLOps, and data science workflows.

• Experience with Spark, TensorFlow, Kafka, or similar tools.

• Experience with SageMaker, KServe, Triton, or similar infra.

Nice-to-Have:

• Built agentic workflows / LLM tool-use.

• Experience with MLFlow, WandB, LangFuse, or other MLOps tools.

• Experience with React, FastAPI, or other common web frameworks.

Why Plexe?

• Hard problems: we're automating the entire ML/AI lifecycle from data engineering to insights.

• High ownership: first 5 engineers write the culture as well as the code. You have the power to fix whatever issue you can point at.

• Exciting environment: work at a fast-paced YC-backed startup with one foot in Silicon Valley.

• Location and compensation: sweet office in central Canary Wharf; equity that can matter.

Compensation

£85,000 - £110,000 base salary, 0.25%-0.75% equity, eligibility for further bonuses based on company and/or individual performance.

Seniority level

  • Seniority levelMid-Senior level

Employment type

  • Employment typeFull-time

Job function

  • Job functionEngineering and Information Technology
  • IndustriesTechnology, Information and Internet

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