Machine Learning and Quant Engineer - London
About this role
You think in time series, signals, and regimes.You care about insight quality, not academic purity.You want your models tested by markets, not papers.If you dislike messy data and real-world constraints, this is not your role. The Role, In Plain English You will build quantitative and ML-driven insight systems using structured time series data.This role exists to turn raw financial data into actionable investor signals.You will work closely with engineers to productionize quant logic. What You’ll Be Responsible For Develop models using structured financial time series Build insight generation and scenario analysis pipelines Collaborate with backend engineers to deploy models in production Evaluate signals based on real investor outcomes Improve attribution and explainability What “Good” Looks Like in This Role After 3 months:Shipping signals used internally. After 6 months:Signals used by customers. After 12 months:You shape how quant insights are built at Reflexivity.
What this role is, and what else it is called
Employers in London advertise this kind of work as Data Analyst, Data Engineer, Senior Data Engineer and AI Engineer too, so it is worth searching more than one wording. It is a mid-level Data, AI & Machine Learning role in London, advertised without a stated working pattern, which is worth asking about.
How this role compares to the market
108 live UK roles list Machine Learning right now, across 63 source domains. 48% of 33 roles with a known arrangement are remote. Browse Machine Learning roles.
London has 1,320 live IT vacancies across 695 source domains, with a median annual salary midpoint of £55,000. Browse London roles.
Market figures are today's snapshot of reportable live UK roles on public careers and vacancy pages; see hiring trends.
Technologies mentioned
Detected on Reflexivity's careers page. ProdReady Recruitment lists this vacancy as an aggregator and is not the employer; applications go to the employer's own site. More IT jobs in London.