Mavenoid

Senior Machine Learning Engineer

Mavenoid

full-time

Posted on:

Location Type: Remote

Location: Remote • 🇬🇧 United Kingdom

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Job Level

Senior

Tech Stack

CloudDockerGoogle Cloud PlatformPythonPyTorch

About the role

  • You will be part of the ML team at Mavenoid, shaping the next product features to help people around the world get better support for their hardware devices.
  • The core of your work will be to understand users’ questions and problems to fill the semantic gap.
  • The incoming data consists mostly of textual conversations, search queries and documents (more than 1M text conversations per month and growing volume on voice).
  • You will help to process this data and assess new LLM and NLP models to build and improve the set of ML features in the products.
  • We work in Python with NLP/ML libs, including langchain, langfuse, huggingface, pytorch (among others), major LLM providers (OpenAI, Anthropic, Google, Mistral) and hosted models, deploying with docker on GCP cloud services.
  • We care about shipping to production and seeing usage, keeping up with ML developments, and balancing between speed and codebase quality.

Requirements

  • You are an ML engineer who cares about product and user outcomes
  • At least 4 years of industry experience in ML/data-science roles, specifically in NLP/generative and with conversational data
  • Experience with ML problem-solving, diagnosing errors and hypothetising next steps
  • Experience with shipping ML services using Docker (build images, manage revisions), GCP services (cloud run, instances, vertex) and CI/CD practices
  • Experience with real-time LLM services for RAG conversational systems in production
  • Experience with voice or agentic system is a plus
  • Experience with working in a compact ML team with shared responsibilities & ownership
Benefits
  • work fully remote and meet IRL few times a year
  • focus on specific features and own the process from scoping to production delivery
  • evaluate ideas and propose the right metrics to explore/implement/ship new things
  • contribute on ML models and features but also service architecture and the platform at scale

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
machine learningnatural language processingconversational dataproblem-solvingdiagnosing errorsshipping ML servicesreal-time LLM servicesvoice systemsagentic systemsCI/CD practices
Soft skills
product focususer outcomesshared responsibilitiesownershipteam collaboration