Machine Learning Engineer (Remote) Remote

Virtual Nation -  We started one brand, then another, and discovered that Virtual Nation worked best behind the scenes, letting each brand stay focused on what mattered without the noise of a shared name. Today our company spans three brands — a global migration platform, a university admissions companion, and a digital growth agency — serving customers across the globe. We are recruiting to fill the position below:

Job Title: Machine Learning Engineer

Location: Remote Description

We are looking for a Machine Learning Engineer to improve and train the AI systems already powering our products. You'll take our existing builds from good to exceptional, refining and retraining models that solve real business problems at scale. You will improve, retrain, and fine-tune our existing machine learning models and AI systems. This includes data preprocessing, model optimisation, and continuous monitoring once models are live. Your focus is on strengthening what we've already built, not starting from scratch.

Improve and retrain existing machine learning models to boost accuracy and reliability Perform data exploration, cleaning, and preprocessing to support model improvements Fine-tune and optimise existing models for better performance and scalability Monitor deployed models and make ongoing adjustments as needed Build and improve APIs for AI services already integrated into our products Work with Large Language Models (LLMs) and related frameworks where relevant Stay current with new developments in machine learning and AI, applying useful techniques to existing systems Collaborate with product managers, developers, and other stakeholders to understand and meet AI requirements Document methodologies and workflows for reproducibility and knowledge sharing

Performance Metrics & KPIs

Accuracy and performance improvements on existing models Model uptime and reliability in production Turnaround time on model improvements and fixes Measurable gains from retraining efforts Quality and clarity of documentation

Skills & Competencies Required

Must-have:

7+ years of overall experience in a technical role 5+ years of hands-on experience in machine learning and AI, with a proven track record of improving models in production Strong programming skills in Python Strong knowledge of ML frameworks and libraries (TensorFlow, PyTorch, Scikit-learn) Experience with data manipulation tools (Pandas, NumPy, SQL) Experience with cloud platforms (AWS, GCP, or Azure) Strong understanding of statistics, probability, and applicable mathematical concepts Excellent communication and collaboration skills Ability to work independently with minimal supervision

Nice-to-have:

Bachelor's or Master's degree in Computer Science, Machine Learning, Data Science, Engineering, or a related field Experience with LLMs, Hugging Face, LangChain, or similar frameworks Knowledge of FastAPI or Flask for AI deployment Experience with vector databases (Pinecone, FAISS, ChromaDB, Weaviate) Familiarity with Docker and Git Strong portfolio or GitHub showcasing AI/ML projects

What Success Looks Like

At 90 days: You've reviewed our existing AI systems, identified key improvement areas, and begun implementing measurable performance gains. At 1 year: Our AI systems are noticeably more accurate, scalable, and reliable. You've led at least one major improvement to an existing model or AI feature

Opportunity to rise into a management role Bonus and results-driven performance bonus Remote work culture Flexible and friendly environment Competitive salary Opportunity for training and personal development.

Not Specified. How to Apply

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