Machine Learning Engineer

trg.recruitment; Remote; GBP 125,000 - 150,000; Part time

Job summary

A recruitment agency is seeking an experienced Machine Learning Engineer for a contract role focusing on data preparation and feature engineering. The successful candidate will work remotely to deliver a proof of concept using static datasets, with responsibilities including anomaly detection and clear communication of findings. Essential skills include strong Python proficiency and structured data expertise. Apply directly or contact us for more information.

Qualifications

• Experience with Python libraries like pandas and numpy.
• Expertise in structured data handling, including joins and cleaning.
• Practical knowledge of anomaly detection methods.

Responsibilities

• Deliver a proof of concept using structured datasets.
• Profile data and engineer meaningful features.
• Communicate findings clearly to non-technical stakeholders.

Skills

Strong Python for data processing and analytics

Structured data expertise

Feature engineering

Anomaly detection experience

Stakeholder communication

Tools

Power BI

Azure

Job description

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)

Apply directly or contact [e-mail]