Available for new projects · Remote worldwide

    Freelance Machine Learning Engineer for Hire

    I'm a freelance machine learning engineer who takes models from notebook to dependable production. That means reproducible training, automated deployment, monitoring for drift and quality, and clear cost controls — so your model keeps delivering value long after launch instead of quietly rotting. I work remotely on a project basis with the ownership of a senior in-house hire.

    Book a free intro callEmail directly

    What I can help with

    • Model development, baselining, and reproducible training
    • Deployment as batch or real-time services with versioning
    • Monitoring for drift, quality, and latency
    • Evaluation harnesses and automated retraining
    • Inference and compute cost optimization

    Why work with me

    Remote-first, worldwide

    Fully remote delivery with clients across the US, Europe, and Asia — async-friendly and outcome-focused.

    Timezone overlap

    Based in Islamabad (PKT), with working-hours overlap into both US and European mornings/evenings.

    Fixed-price clarity

    Scoped proposals with clear deliverables and timelines — no open-ended retainers required to start.

    Fast, senior delivery

    Direct work with one experienced engineer — no account managers, no hand-offs, working software each sprint.

    Relevant services

    ML Systems & MLOpsA/B Testing & ExperimentationEvent Tracking & Analytics

    Frequently asked questions

    What is the difference between a data scientist and an ML engineer?
    A data scientist focuses on framing problems, analysis, and modelling; an ML engineer focuses on getting those models into reliable production with deployment, monitoring, and MLOps. I cover both ends, which is what most teams actually need to ship.
    Can you productionize a model we already have?
    Yes. A common engagement is taking an existing notebook or prototype model and building the training pipeline, deployment, monitoring, and retraining around it so it runs dependably in production.
    Do you do MLOps as well as modelling?
    Yes — reproducible pipelines, experiment tracking, CI/CD for models, monitoring, and cost optimization are core to how I deliver. A model that can't be retrained or monitored isn't really done.

    Let's talk about your project

    Tell me what you're working on and I'll come back with ideas, a scope, and next steps — usually within 24 hours. Free discovery call, no commitment.

    Start a project[email protected]