Machine Learning Engineer, CS

🕒 February 25

🏢🏡 London – Hybrid

⏰ Full Time

🟡 Mid-level

🟠 Senior

🤖 Machine Learning Engineer

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Xantura Limited

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2008

🤖 Artificial Intelligence

☁️ SaaS

🏛️ Government

Artificial Intelligence • SaaS • Government

Xantura Limited is a UK-based technology company that provides a cloud-based data-sharing and analytics platform called OneView for public sector organisations. It uses advanced analytics and responsible, transparent AI to join up data across local authority and public service agencies to create holistic views of individuals, families and groups, enabling early intervention and prevention across children's services, adult health and social care, homelessness, debt and community safety. The platform is focused on improving outcomes for vulnerable residents, increasing practitioner productivity and delivering cost savings while emphasising ethical and proportionate use of data and AI.

📋 Description

• Monitor, train, evaluate, and productionise machine learning models on complex, multi‑source datasets from local authorities • Engineer high‑performance training pipelines, build embedding‑based and sequence models, implement LLM and RAG workflows, and develop containerised model services • Work directly with production data, client technical teams, and internal engineering ecosystem to deliver AI components that are robust, scalable, and deployed into live environments • Lead the modelling and data‑engineering components of client projects alongside Data Engineers • Troubleshoot and resolve complex modelling and pipeline issues in BAU • Configure advanced OneView components and contribute modelling innovations, performance insights and engineering improvements back into the platform

🎯 Requirements

• 3–5+ years’ experience in machine learning engineering, taking models from development into production • Strong Python engineering skills and experience with modern ML frameworks • Practical experience training and evaluating models (tree-based, temporal, embedding/NLP or LLM-based) • Ability to build reproducible training and evaluation pipelines • Experience containerising and deploying models (e.g., Docker, FastAPI) • Strong SQL and experience working with relational databases • Understanding of schemas, data transformations and (ideally) dbt • Experience preparing data for model training and scoring • Working with embeddings, vector databases or RAG-style workflows • Experience applying NLP or sequence models to real-world datasets • Comfortable defining data requirements, discussing modelling decisions and troubleshooting issues in real time • Able to explain technical concepts simply and work closely with data, engineers and customer success

🏖️ Benefits

• Competitive salary reviewed annually • Work for a passionate, mission-driven company solving society’s big problems • Work flexible hours around life commitments with a focus on delivering company value rather than hours worked • Ability to work remotely (excluding face-to-face Team Meetings and client meetings) • Training and development opportunities • 25 days annual leave (plus bank holidays) • Company pension • Private medical insurance • Generous enhanced parental leave policies • Cycle to work scheme • Flu Vaccinations • Eye Test and contribution towards Glasses for VDU use • Employee Assistance Programme • Mental health and wellbeing support • Remote GP access • Counselling/therapy • Physiotherapy • Medical second opinions