Machine Learning Engineer

Machine Learning Engineer (Contract)

Duration: 5 weeks (with potential for extension)

Status: Outside IR35

Location: Remote (UK-based)

Start Date: ASAP

About the Role

We 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 & Experience

• Strong 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 concepts
• Feature engineering: ability to craft interpretable, business-relevant features
• Anomaly detection experience: practical knowledge of rule-based and statistical methods; ML-based approaches where appropriate
• Requirements & communication: ability to work with stakeholders, define success criteria, and explain outputs clearly

Desirable (Nice to Have)

• Power BI / BI visualisation (or similar) to support validation and stakeholder-facing outputs
• Familiarity 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)

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