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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Machine Learning Systems Engineer - **Company:** Roc Search - **Location:** London, UK - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Airflow, Continuous Integration, Learning Management Systems, Linux, Distributed Computing Environment, Python (Programming Language), Machine Learning, Azure Machine Learning, Software Deployment, Data Logging, Delivery Pipeline, Fastapi, Kubernetes, Deployment Automation, Machine Learning Operations, Api Design, Software Version Control, Docker - **Published:** July 30, 2026 - **Apply:** https://www.apply4u.co.uk/jobs/x/42353065/ ## About the Role Responsibilities Design, build and maintain production machine learning infrastructure. Develop containerised Python services and APIs for model training and inference. Build and maintain automated deployment, evaluation and retraining pipelines. Manage model versioning, releases and production rollouts. Implement monitoring, logging and observability across ML systems. Collaborate with Applied Scientists to productionise research models. Drive improvements in automation, reliability and operational efficiency.About YouYou'll ideally have experience with: Strong Python software engineering skills. Building and operating machine learning systems in production. Model serving, inference pipelines or GPU-based workloads. Docker, Linux and CI/CD pipelines. API development using FastAPI or similar frameworks. Deploying software in on-premise, edge or customer-hosted environments. Monitoring, logging and production observability.Desirable Skills Kubernetes. MLflow, Weights & Biases or similar MLOps tooling. Airflow, Prefect, Kubeflow or other workflow orchestration tools. Time-series or telemetry data. Distributed training workloads. Industrial, IoT or edge computing environments.Why Join? Work on technically challenging machine learning infrastructure. Collaborate with experienced engineers and applied scientists. Influence the design and evolution of a growing ML platform. Join a well-funded, high-growth technology business. Competitive salary, flexible working and excellent opportunities for career development.If you're passionate about building robust production ML systems and want to solve complexengineering challenges at scale, we'd love to hear from you. ## Description Job DescriptionMachine Learning Systems EngineerLocation: London/Hybrid - 1-2 days p/w in officePermanent £100k-£110k + BenefitsWe're partnering with an innovative technology company that's scaling its machine learning platform and is looking for a Machine Learning Systems Engineer to help take ML models from research into reliable, production-ready systems.This is a hands-on engineering role focused on building the infrastructure, tooling and automation that enables machine learning models to be deployed, monitored and continuously improved across production environments. You'll work closely with Applied Scientists and Software Engineers to deliver scalable, resilient ML systems.The RoleYou'll play a key role in designing and operating the systems that underpin the ML lifecycle, including model training, deployment, serving and monitoring. As the platform continues to grow, you'll help improve reliability, scalability and automation while reducing manual operational effort.Key ## Related Videos - [Docker network without Docker](https://www.wearedevelopers.com/videos/1418-docker-network-without-docker) - [Effective Machine Learning - Managing Complexity with MLOps](https://www.wearedevelopers.com/videos/185-effective-machine-learning-managing-complexity-with-mlops) - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [Docker Compose: Rediscovered](https://www.wearedevelopers.com/videos/1978-docker-compose-rediscovered) - [Docker build without Docker](https://www.wearedevelopers.com/videos/100114-docker-build-without-docker) - [Docker exec without Docker](https://www.wearedevelopers.com/videos/1094-docker-exec-without-docker) ## Related Articles - [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) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [MLOps – What’s the deal behind it?](https://www.wearedevelopers.com/magazine/125-mlops-what-s-the-deal-behind-it) - [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Why Upskilling And Reskilling is Important For Developers](https://www.wearedevelopers.com/magazine/428-why-upskilling-and-reskilling-is-important-for-developers)