About: Founded with a mission to reduce societalinequalities, the company focuses on harnessing data and insightsto drive impactful partnerships. They collaborate with a range oflocal authorities on various social domains, such as homelessnessTheir primary offering is a DaaS (Data as a Service) platformtailored to improve frontline support and outcomes for vulnerableresidents. They emphasise aligning their work with meaningfulresults for end-users. They are seeking team members who arepassionate about the mission and committed to helping localcommunities through innovative data solutions. In this role, you'llbe tasked with designing and building robust, scalable ML pipelinesto address real-world challenges, particularly in areas like socialcare and financial support. Location Remote-first, with thepotential for occasional in-person meetings. Benefits -Competitive, annually reviewed salary - The opportunity to join amission-driven team focused on resolving key societal issues -Flexible working hours to accommodate life commitments, emphasisingoutput over time logged - Remote work setup, except for monthlyteam meetings and occasional client visits - Paid training anddevelopment opportunities through the appraisal process - 25 daysof annual leave, excluding bank holidays - Company pension planenrolment - Provision of necessary IT equipment (laptop included) -Covered travel and accommodation expenses for required in-personmeetings Responsibilities - Deploy, optimise, and monitor ML modelsin production, including NLP, decision trees, and logisticregression models - Enhance data pipelines using Azure Batch &Azure ML, improving data lineage, quality, and minimisingproduction errors - Design and implement high-performance datastores for efficient data processing and retrieval - Ensureinfrastructure supporting ML models is secure, scalable, andreliable - Develop a machine-learning-driven alert system toprovide actionable, real-time notifications based on data-driventriggers - Collaborate closely within a small, autonomous team,fostering innovation and effectively partnering with dataengineering to create cross-functional ML pipelines Requirements& Experience - 3-5+ years in MLOps or similar roles, with asolid understanding of the ML lifecycle - Proficiency in Python orsimilar languages, and experience with ML frameworks (e.g.,PyTorch, XGBoost, LightGBM) - Experience with cloud platforms, suchas Azure ML Studio & Azure Batch, or comparable environments -Skilled in containerisation (Docker, Kubernetes) and CI/CDautomation - Knowledgeable in predictive modelling, NLP, andvarious ML techniques - Strong problem-solving skills for tacklingcomplex ML system issues - Excellent communicator for bothtechnical and non-technical audiences - Team-oriented, with acollaborative approach to work