3 of 3 Permanent Data Cleansing Jobs in Surrey

Data Science Trainee

Hiring Organisation
ITOL Recruit
Location
Kingston Upon Thames, Surrey, England, United Kingdom
Employment Type
Full-Time
Salary
£30,000 - £50,000 per annum
Artificial Intelligence is used in every industry and as artificial intelligence requires data to operate there is now a massive growing demand for Data experts. If you are detail orientated, perceptive, organised, competent, analytical and can communicate well with those around you; you could … have a truly rewarding future within Data Science. We use our specialised Data Science Career programme which looks to assist, train and place qualified candidates into a career pathway in Data Science. Our career program is designed for entry level individuals ...

Data Analyst - Fintech SaaS Game Changer. Hybrid

Hiring Organisation
RecruitmentRevolution.com
Location
Epsom, Surrey, England, United Kingdom
Employment Type
Full-Time
Salary
£30,000 - £40,000 per annum
This isn’t a back-office data role. You’re not buried in IT, and you’re not just building dashboards for someone else to interpret. You’re the data expert who sits alongside the sales team, fixes the spreadsheets everyone else avoids, turns … messy data into insight, and helps customers get live and confident with the platform. Half your day is deep in numbers and automation. The other half is working directly with people - onboarding, training, and enabling real-world outcomes. If you’re a hands-on Data ...

Senior Machine Learning Engineer

Hiring Organisation
Beamost Ltd
Location
Guildford, Surrey, UK
Employment Type
Full-time
fallbacks, and graceful degradation Create monitoring and observability for production ML (model performance, drift detection, alerts, rollback plans) Work with high-frequency market data: missing data, late arrivals, outliers, regime shifts, and noisy signals Collaborate directly with the Head Trader to translate strategy goals … Strong understanding of validation pitfalls (e.g., leakage), time-series/non-stationary dynamics, and model drift Experience building end-to-end ML workflows: data ingestion/cleaning, feature engineering, training pipelines, model serving/inference Ability to design for reliability: monitoring, alerting, safe deployment, rollback strategies ...