MLOps Consultant

MLOps Consultant Contract Length: 6 months (initial) Location: Remote (occasional travel if needed to London HO) Day Rate: £500 Outside IR35 Start Date: ASAP We’re looking for an experienced ML Engineer / MLOps Consultant to help a business move from early-stage machine learning into a more structured, production-ready setup. You’ll work closely with a data scientist and engineering team to design and implement a clean, maintainable approach to model training, deployment, and monitoring. The business already has models in production and a basic SageMaker setup in place, but it’s currently clunky and not scalable long-term. This role is about assessing the current environment, improving or simplifying it, and putting the right foundations in place so models can be reliably built, deployed, and maintained going forward. They need someone to support them with a pragmatic approach whilst being hands-on and engagement with the teams work. Key Experience Needed • Proven experience taking ML models from notebook / experimentation into production environments • Strong understanding of ML lifecycle management (training, deployment, monitoring, retraining) • Experience with AWS (ideally SageMaker, but not essential) • Experience building and managing model APIs / model serving infrastructure • Strong Python skills and experience working with software engineering best practices • Experience working in small teams or consultative environments • Ability to design simple, pragmatic solutions rather than overengineered systems • Strong communication skills, with experience supporting or upskilling data scientists or engineers Key Responsibilities • Assess and improve (or replace) the current SageMaker-based ML setup • Design and implement a clear, maintainable ML pipeline (training → deployment → monitoring) • Put models behind reliable APIs for production use • Establish best practices for versioning, retraining, and performance monitoring • Work closely with the data scientist to enable greater ownership of models in production • Bridge the gap between data science and software engineering teams • Introduce structure and standards to how ML is developed and deployed • Document processes and approaches to support future model development MLOps Consultant Contract Length: 6 months (initial) Location: Remote (occasional travel if needed to London HO) Day Rate: £500 Outside IR35 Start Date: ASAP