Senior Data Scientist / Machine Learning Engineer

Senior Data Scientist / Machine Learning Engineer
Senior Data Scientist / Machine Learning Engineer
Get AI-powered advice on this job and more exclusive features.This range is provided by Harnham. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.Base pay range
Direct message the job poster from HarnhamSenior Consultant - AI, Machine Learning and Data Science
Contract Senior Data Scientist / ML Engineer£600-800/day | Outside IR35 | Hybrid (Central London, 2 days/week)We''re working with a specialist consultancy delivering high-impact machine learning solutions to private equity-backed businesses. They are looking for an experienced Data Scientist or ML Engineer to support a live project, applying classical machine learning to solve tangible, high-value problems.You will be joining a small, collaborative team of engineers and data scientists on-site 2 days per week in Central London.The work focuses on traditional ML use cases, such as:Optimisation modelling to improve manufacturing throughputPredictive modelling to anticipate and reduce asset downtimeCustomer churn prediction and mitigationNext-best-action modelling for sales agentsGeospatial modelling to inform store and asset placement decisionsMust-Have Requirements:3-5+ years'' experience applying classical ML in commercial settingsExcellent Python coding skills (production-grade, using libraries like Pandas, NumPy, scikit-learn)Strong understanding of supervised and unsupervised learning methods (regression, classification, clustering, tree-based models, etc.)Comfortable working across the full ML lifecyclePrevious exposure to ambiguous or evolving problem spaces, ideally within consulting or client-facing environmentsExperience with AWS / Azure and SageMakerClear and confident communicator, able to contribute to client conversations and work collaboratively with delivery teamsDegree from a top university in a quantitative discipline (Master''s preferred)Based in London and able to attend the client site 2 x per week.Nice-to-Haves:Experience with geospatial modelling, time series forecasting, or operational optimisationDBTInterviews are taking place this week. Start ASAP.Please email
Contract Senior Data Scientist / ML Engineer£600-800/day | Outside IR35 | Hybrid (Central London, 2 days/week)We''re working with a specialist consultancy delivering high-impact machine learning solutions to private equity-backed businesses. They are looking for an experienced Data Scientist or ML Engineer to support a live project, applying classical machine learning to solve tangible, high-value problems.You will be joining a small, collaborative team of engineers and data scientists on-site 2 days per week in Central London.The work focuses on traditional ML use cases, such as:Optimisation modelling to improve manufacturing throughput
Predictive modelling to anticipate and reduce asset downtime
Customer churn prediction and mitigation
Next-best-action modelling for sales agents
Geospatial modelling to inform store and asset placement decisions
Must-Have Requirements:3-5+ years'' experience applying classical ML in commercial settings
Excellent Python coding skills (production-grade, using libraries like Pandas, NumPy, scikit-learn)
Strong understanding of supervised and unsupervised learning methods (regression, classification, clustering, tree-based models, etc.)
Comfortable working across the full ML lifecycle
Previous exposure to ambiguous or evolving problem spaces, ideally within consulting or client-facing environments
Experience with AWS / Azure and SageMakerClear and confident communicator, able to contribute to client conversations and work collaboratively with delivery teams
Degree from a top university in a quantitative discipline (Master''s preferred)
Based in London and able to attend the client site 2 x per week.
Nice-to-Haves:Experience with geospatial modelling, time series forecasting, or operational optimisation
DBT
Interviews are taking place this week. Start ASAP.Please email
Desired Skills and Experience
Predictive Modelling, Python Machine Learning, Full ML LifecycleSeniority level
Seniority level Mid-Senior levelEmployment type
Employment type ContractJob function
Job function Information TechnologyIndustries Technology, Information and InternetReferrals increase your chances of interviewing at Harnham by 2xSign in to set job alerts for “Senior Data Scientist” roles.
London, England, United Kingdom 7 hours agoSenior Data Scientist - Product Insights
London, England, United Kingdom 3 weeks agoLondon, England, United Kingdom 1 month agoMachine Learning Scientists and Engineers: AI for Quantum
London, England, United Kingdom 6 days agoLondon, England, United Kingdom 3 weeks agoLondon, England, United Kingdom 4 days agoResearch Scientist (Quantum Chemistry and Machine Learning), London
London, England, United Kingdom 5 days agoSr Data Science Manager, Professional Services
London, England, United Kingdom 1 week agoLondon, England, United Kingdom 1 week agoSenior Data Science Manager, Professional Services
Greater London, England, United Kingdom 2 weeks agoLondon, England, United Kingdom 1 day agoSenior Marketing Data Scientist - Strategic Growth Partner
London, England, United Kingdom 2 weeks agoCity Of London, England, United Kingdom 4 days agoLondon, England, United Kingdom 5 days agoData Science Manager, Verification and Premium Support
London, England, United Kingdom 7 hours agoLondon, England, United Kingdom 2 weeks agoLondon, England, United Kingdom 1 week agoLondon, England, United Kingdom 1 week agoLondon, England, United Kingdom 3 days agoLondon, England, United Kingdom 1 month agoSenior Data and Business Analyst - Workforce Data (Ref: 5174)
London, England, United Kingdom 2 weeks agoLondon, England, United Kingdom 3 weeks agoQuantitative Researcher (Machine Learning)
Chigwell, England, United Kingdom 1 week agoQuantitative Researcher (Machine Learning)
London, England, United Kingdom 2 months agoWe’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of ..... full job details .....