Job Title

Machine Learning Engineer (Contract)Duration: 5 weeks (with potential for extension)Status: Outside IR35Location: Remote (UK-based)Start Date: ASAPAbout the RoleWe are seeking an experienced Data & ML Contractor to deliver a proof of concept using static, structured datasets. This is a focused, pragmatic engagement centred on data preparation, feature engineering, and anomaly detection - with an emphasis on clear, interpretable outputs for stakeholders.This is not a heavy Data Engineering or MLOps engagement. There is no requirement for live pipelines, streaming ingestion, or ongoing automated refresh. The successful candidate will work hands-on to profile data, engineer meaningful features, develop detection logic, and communicate findings effectively to non-technical stakeholders.Essential Skills & ExperienceStrong Python for data processing and analytics (e.g., pandas, numpy; scikit-learn or equivalent)Structured data expertise: joins, aggregations, data cleaning, handling missing data/outliers, basic data modelling conceptsFeature engineering: ability to craft interpretable, business-relevant featuresAnomaly detection experience: practical knowledge of rule-based and statistical methods; ML-based approaches where appropriateRequirements & communication: ability to work with stakeholders, define success criteria, and explain outputs clearlyDesirable (Nice to Have)Power BI / BI visualisation (or similar) to support validation and stakeholder-facing outputsFamiliarity with Azure for accessing datasets or sharing PoC artefacts (basic storage/compute)Ability to outline what would be needed to scale the PoC toward production later (without implementing full MLOps now)Apply directly or contact mmatysik@