101 to 111 of 111 Feature Engineering Jobs in London

Responsibilities Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis. Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets. ...

function engineering. Algorithmic & compute optimisation: integrate novel optimisations (custom attention, tokenisation, layer normalisation) with an eye on memory efficiency and training stability. Data strategy & feature engineering: design representation, augmentation, and synthesis strategies for complex, constrained biological datasets. Collaborative hand-off: partner with MLOps so prototypes are built ...

scoring and portfolio valuation models. You will design and maintain real-time PD models, calibrate frameworks, and ensure regulatory fairness while exploring LLM-based feature engineering. You will collaborate with cross-functional teams, mentor juniors, and contribute to long-term modeling vision, leveraging Python, SQL, XGBoost, and MLFlow ...

work closely with colleagues across the business to grow the impact of ML and AI at Trainline. We're looking for a Machine Learning Engineering Manager to lead a team of 7 ML engineers and data engineers within our Core Experience pillar, which covers Search, Supply and Commerce. Your … systems, using orchestration harnesses such as LangGraph to design multi-step workflows, tool use and human-in-the-loop controlsMake evaluation a first-class engineering discipline for LLM and agent work. That means curated eval sets, LLM-as-judge and human review, tracing, regression testing of prompts and agents ...

researchers who are committed to teaching, guiding, and supporting our newest hires, learning how we think about experiment design, dataset generation, time series analysis, feature engineering, and model building for financial datasets. At Jane Street, our researchers, engineers, and traders sit a few feet away from each other ...

Millennium Management LLC in London seeks a Senior Quantitative Engineer to help implement and advance core software and infrastructure for alpha research, feature engineering, portfolio construction, and trade execution. The ideal candidate has a strong CS/engineering background with 5+ years and expertise in distributed systems ...

systems that price and trade financial instruments. You will work with experienced researchers who mentor on experiment design, data generation, time series analysis, and feature engineering for financial datasets. The role emphasizes applying various statistical and ML techniques, from linear models to deep learning, to fit problems ...

solution t esting the outputs by querying the data whilst identifying questions to further clarify. Applicants must be experts in SQL and SQL feature engineering on Google Cloud Platform (GCP)/Household 360, with familiarity in windowed functions, nested queries, query optimisation and complex ETL/ELT patterns. ...

Linktree is seeking a Staff AI Engineer to own end-to-end AI applications—building data pipelines, implementing prompt and feature engineering, and deploying production-ready AI features across its core surfaces. You’ll work with product and engineering to translate problems into scalable solutions ...

Data & AI in a Global High-Performance Environment We're partnering with a world-renowned organisation operating at the cutting edge of technology, engineering, entertainment, and live global events. With millions of fans worldwide and a relentless focus on innovation, this organisation is investing heavily in AI, machine learning … business functions, you'll help identify opportunities where data and AI can create measurable impact and transform operations. This role combines machine learning, data engineering, experimentation, and product thinking within a fast-paced, high-performance environment where innovation is actively encouraged. Key Responsibilities AI & Machine Learning Design, build ...

protect millions of customers and merchants across our platform . This is a high-impact role at the intersection of machine learning, product, and engineering, where your work will directly shape how Moniepoint detects and responds to emerging fraud threats . You are a data-driven, intellectually curious Data … translate model outputs into real-world mitigations . Experience & Background: A strong foundation in statistics with a degree in a quantitative field (Statistics, Mathematics, Engineering, Computer Science, or similar). 3+ years of experience in data science, decision science, or risk analytics within fraud, payments, or financial crime. Hands ...