Senior Machine Learning Engineer

Posted 1 day agoViewed

💎 Seniority level: Senior, 4+ years

📍 Location: United Kingdom, Latvia, Spain, Germany, Denmark, Poland, Portugal, Ireland

🔍 Industry: Software Development

🏢 Company: Lokalise👥 101-250💰 $50,000,000 Series B over 3 years agoInformation Services Developer APIs SaaS Information Technology Collaboration Translation Service Software Cloud Infrastructure

🗣️ Languages: English

⏳ Experience: 4+ years

🪄 Skills: AWSBackend DevelopmentDockerPythonSQLCloud ComputingMachine LearningAPI testingFastAPIGrafanaREST APICI/CDMicroservices

Requirements:

4+ years of experience building and operating backend systems in production
Strong proficiency with Python, FastAPI, and Pydantic
Solid understanding of microservice architecture, scalable distributed systems, and observability, with familiarity using tools like OpenTelemetry, Grafana, or Datadog to monitor both general system health and LLM-specific metrics like latency, token usage, and model performance
Hands-on experience with prompt engineering in production
Familiarity with CI/CD, containerisation, and cloud deployment
Strong sense of ownership

Responsibilities:

Build and own LLM-powered back end services using FastAPI, Pydantic, etc. — ensuring they are scalable, observable, and easy to extend
Design infrastructure that enables rapid experimentation with LLMs, including A/B testing, feature flagging, and usage analytics
Integrate and maintain LLM observability tooling (e.g., LiteLLM, Langfuse) to monitor quality, cost, and performance of model calls
Collaborate with Data and ML Scientists to productionize workflows, share feedback, and continuously improve experimentation speed
Ensure systems are reliable and deployable with strong CI/CD practices, including instrumentation and alerting
Contribute to team culture through pairing, mentoring, and sharing learnings to help others grow
Stay connected to the product by understanding our users' needs, localization workflows, and broader industry trends

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