Direct message the job poster from Plexe AIPrimary 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.QualificationsWe 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 level Mid-Senior levelEmployment type

Employment type Full-timeJob function

Job function Engineering and Information TechnologyIndustries Technology, Information and InternetReferrals increase your chances of interviewing at Plexe AI by 2xSign in to set job alerts for “Machine Learning Engineer” roles.

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