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Senior Machine Learning Engineer - Next-Gen ML Systems for Electronic Trading

FinDev Poland
Remote Relocation
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AI Summary

Build and operate real-time ML systems for electronic trading. Collaborate with quantitative researchers. Ensure scalability, observability, and low-latency performance.

Key Highlights
Deploy and operate production ML systems
Optimize model inference for low-latency environments
Build scalable Python services around ML models
Key Responsibilities
Deploy and operate production ML systems
Optimize model inference for low-latency environments
Build scalable Python services around ML models
Work with financial time series forecasting
Collaborate with quantitative researchers and software engineers
Monitor model performance and improve production reliability
Technical Skills Required
Python Machine Learning MLOps
Benefits & Perks
Flexible work setup: remote or hybrid
Health insurance coverage (Poland, Cyprus)
24 days of paid vacation
Nice to Have
Financial markets or trading systems experience
Quantitative finance knowledge
Market data or pricing models experience
Low-latency systems experience

Job Description


Senior Machine Learning Engineer


We’re looking for a Senior Machine Learning Engineer to join our team building next-generation ML systems for electronic trading. This isn’t a typical AI or chatbot role.


You’ll be working closely with quantitative researchers who develop machine learning models.


Your role will be to understand those models, adapt them when needed, and turn them into reliable production services that run in a real-time trading environment. You’ll also be responsible for making sure they’re scalable, observable, and performant under high load and low-latency requirements.


If you enjoy solving engineering challenges just as much as ML problems, and you’re comfortable taking models all the way from experimentation to production, we’d love to talk to you.


Location: Poland, Portugal, Spain, Cyprus or Georgia (remote).


What you’ll be working on

  • Deploying and operating production ML systems
  • Optimizing model inference for low-latency environments
  • Building scalable Python services around ML models
  • Working with financial time series forecasting
  • Collaborating with quantitative researchers and software engineers
  • Monitoring model performance and improving production reliability


What we’re looking for

  • Strong Python development skills
  • Hands-on experience with PyTorch or TensorFlow
  • Experience deploying ML models into production
  • MLOps experience
  • Kubernetes and Docker
  • Kafka or other distributed messaging systems
  • Experience building distributed systems and microservices
  • Experience with time series forecasting


Nice to have

  • Financial markets or trading systems
  • Quantitative finance
  • Market data or pricing models
  • Low-latency systems


This role may not be the best fit if your recent experience is primarily focused on

  • LLM applications
  • Prompt engineering
  • Chatbots
  • Computer Vision


Benefits

  • Flexible work setup: remote or a hybrid model.
  • Health insurance coverage for those based in Poland and Cyprus.
  • 50% coverage of health insurance for spouses and children in Poland and Cyprus.
  • 24 days of paid vacation.
  • 10 days of paid sick leave.
  • 50% reimbursement for professional training, education, conferences.
  • Work alongside a highly professional team.
  • Engaging teambuilding events and activities.
  • Relocation Package: assistance for relocation to Poland or Cyprus, if desired.

In case of relocation to Cyprus or Poland, we offer

  • Flight tickets, accommodation rent for 1st month for our relocated employee and his/her official family.
  • Support in visa application and issue process, entry permit and residence permit processing



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