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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

Design, develop, test, and maintain robust, reusable data pipelines using Azure Data Factory (orchestration), Azure Databricks (transformations in PySpark/Spark SQL), and DBT (SQL‑based modelling). Proficiency with Python for data engineering tasks (Pandas, PySpark, data cleaning, API integration

A leading trading firm in London is seeking a Quant Data Engineer to work on impactful trading projects.This mid-senior level role requires 5+ years of experience with a strong focus on Python and data analysis.You will collaborate with top researchers and traders, optimizing algorithms and enhancin