Machine Learning Engineer

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

Job summary

A leading recruitment agency is seeking a Machine Learning Engineer for a remote contract based in the UK. The role involves developing a proof of concept using structured datasets, with an emphasis on data preparation, feature engineering, and anomaly detection. Ideal candidates should excel in Python, and have a solid understanding of structured data and feature engineering. Collaboration with stakeholders to define success criteria and clearly explain results is also crucial. The contract duration is 5 weeks, with potential for extension.

Qualifications

• Strong experience with Python libraries like pandas and numpy for data processing.
• Ability to clean structured datasets and handle missing data or outliers.
• Practical knowledge of feature engineering and anomaly detection techniques.

Responsibilities

• Deliver a proof of concept using static, structured datasets.
• Profile data and develop detection logic while communicating findings.
• Work hands-on with stakeholders to define success criteria.

Skills

Python for data processing and analytics

Structured data expertise

Feature engineering

Anomaly detection experience

Requirements & 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]