> Markdown version of [/jobs/ext/1509747-machine-learning-engineer](https://www.wearedevelopers.com/jobs/ext/1509747-machine-learning-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Machine Learning Engineer - **Company:** Lhi Group Ltd - **Location:** Austin, TX, United States (Remote available) - **Experience:** Expert - **Salary:** $335,000.0 - **Contract:** Permanent contract - **Skills:** Machine Learning, Recommender Systems, Tensorflow, Software Engineering, Working Model 2D, Deep Learning, Build Management, Kubernetes, Information Technology, Machine Learning Operations, Data Pipelines - **Published:** July 30, 2026 - **Apply:** https://www.dice.com/job-detail/d1697b0b-682e-4d69-8892-fbfae2948805 ## About the Role * PhD or Master's degree in Computer Science, Statistics, Mathematics or a related quantitative discipline (or equivalent industry experience). * Strong background in machine learning and software engineering with experience delivering production ML systems. * Expertise in one or more of the following areas: + Recommender systems + Bayesian machine learning + Multi-task learning + Meta-learning + Ranking, prediction or optimisation models * At least 3 years of experience building end-to-end machine learning systems, including training, deployment, serving and monitoring. * Experience with modern ML infrastructure such as TensorFlow, Kubeflow (or similar) and feature stores is highly desirable. * Familiarity with large-scale deep learning architectures used for recommendation or ranking systems is a plus. Working arrangements * Hybrid working model with four days per week in the office and one day working remotely. This is an opportunity to join a highly technical engineering team where machine learning sits at the core of the product. You'll have the chance to work on challenging problems at scale, collaborate with experienced engineers and researchers, and see your work make a measurable impact. ## Description As a Senior Machine Learning Engineer, you'll work at the intersection of machine learning and software engineering, collaborating closely with product and engineering teams to design, build and deploy production-grade ML models that directly influence business outcomes., * Partner with product managers and engineers to translate business problems into scalable machine learning solutions. * Design, develop and deploy production-ready machine learning models across areas such as ranking, prediction, optimisation, forecasting and recommendation. * Build robust data pipelines, engineer high-quality features and integrate models into scalable production infrastructure. * Monitor model performance, detect drift and continuously improve model accuracy through retraining and experimentation. * Write clean, well-tested, production-quality code and contribute to engineering best practices across testing, reliability and performance. * Research emerging machine learning techniques, prototype new approaches and validate ideas through offline and online experimentation. ## Related Videos - [Getting Started with Machine Learning](https://www.wearedevelopers.com/videos/260-getting-started-with-machine-learning) - [DevOps for Machine Learning](https://www.wearedevelopers.com/videos/179-devops-for-machine-learning) - [Machine learning in the browser with TensorFlowjs](https://www.wearedevelopers.com/videos/155-machine-learning-in-the-browser-with-tensorflowjs) - [Understanding Kubernetes in a visual way](https://www.wearedevelopers.com/videos/100085-understanding-kubernetes-in-a-visual-way) - [How We Built a Machine Learning-Based Recommendation System (And Survived to Tell the Tale)](https://www.wearedevelopers.com/videos/752-how-we-built-a-machine-learning-based-recommendation-system-and-survived-to-tell-the-tale) - [30 Golden Rules of Deep Learning Performance](https://www.wearedevelopers.com/videos/11-30-golden-rules-of-deep-learning-performance) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models) - [Fully Remote Software Engineer Jobs](https://www.wearedevelopers.com/magazine/447-fully-remote-software-engineer-jobs) - [MLops – Deploying, Maintaining And Evolving Machine Learning Models in Production](https://www.wearedevelopers.com/magazine/115-mlops-deploying-maintaining-and-evolving-machine-learning-models-in-production) - [MLOps – What’s the deal behind it?](https://www.wearedevelopers.com/magazine/125-mlops-what-s-the-deal-behind-it) - [The Most Popular IT Jobs on the Market](https://www.wearedevelopers.com/magazine/376-the-most-popular-it-jobs-on-the-market)