126 to 148 of 148 Feature Engineering Jobs in London

refine and securely move data from source to target Develop and maintain data assets to enable enterprise querying and analytics. Manage datasets to support feature engineering, APIs and ingestion processes Build, publish and maintain reusable data assets for real-time and analytical consumption Design, implement and document data ...

holiday What you'll be doing • Building and improving risk pricing models using GLMs and more advanced machine learning techniques • Driving R&D and feature engineering to keep raising the sophistication of the team's models • Monitoring expected loss ratios, risk mix and pricing assumptions, and turning findings ...

holiday What you'll be doing.... • Building and improving risk pricing models using GLMs and more advanced machine learning techniques • Driving R&D and feature engineering to keep raising the sophistication of the team's models • Monitoring expected loss ratios, risk mix and pricing assumptions, and turning findings ...

Senior Decision Scientist Build and deploy ML and statistical models for credit risk, affordability, and pricing Own the full model lifecycle, including data, feature engineering, modelling, validation, deployment and monitoring Develop monitoring frameworks and performance dashboards Drive innovation through new data sources, challenger models and experimentation (A/ ...

your results will be measured objectively via A/B testing, directly impacting our business results. We collaborate closely with the analytics, product, and engineering teams. In this role, you will: Develop, implement, and optimize machine learning models that power data‐driven features and products, from problem framing through … analysts to translate ambiguous business problems into well‐scoped ML solutions, including data requirements, modeling approach, and success metrics. Apply strong data modeling, feature engineering, and model selection skills across multiple domains, ensuring models are robust, explainable, and performant at scale. Safely integrate and operate AI/ ...

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. ...

side with experienced researchers who arecommitted to teaching, guiding, and supporting ournewest hires, learning how we think aboutexperiment design, dataset generation, time seriesanalysis, feature engineering, and model buildingfor financial datasets. At Jane Street, our researchers, engineers, andtraders sit a few feet away from each other andwork together … like to learn more, you can read aboutour interview process and meet some of the team onour website. Computer Science, Data, AI,Engineering & Technology,Life and Health Sciences, Medicine,Natural Sciences & Mathematics Enterpreneurs wanted! TUM support for prospective startups. Practicalities regarding jobmarket regulations for international students. #J-18808-Ljbffr ...

Category: Non-life Actuarial Type: Permanent Key Responsibilities (including but not limited to): Own the end-to-end modelling lifecycle: problem framing, data build, feature engineering, model development, validation, documentation Build and maintain risk and price models using GLMs and machine learning Translate models into implementable rating structures ...

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 ...

build the core intelligence engine for its vulnerability correlation platform in London. This hands-on role focuses on deterministic data pipelines, entity resolution, feature engineering, and scalable architectures. You will balance pragmatic engineering with strategic product sense, deciding what to build in-house versus reuse, integrating semantic ...

Scientist/ML Engineer to turn vessel data into actionable insights. You will work across the full data science pipeline, from data cleaning to feature engineering, model training and deployment, helping current customers and new ones. You will build production data science pipelines, apply time-series and supervised …/unsupervised modelling, and collaborate with engineering to improve the analytics stack. Hybrid working in London offered. #J-18808-Ljbffr ...

vulnerability correlation platform. This isn't about wrapping LLMs around existing tools - it's about architecting a hybrid system where deterministic logic (entity resolution, feature engineering, hard deduplication) provides the scaffolding and LLMs add semantic reasoning on top. You'll work directly with the founder to translate security … deduplication before touching LLMs, building evaluation harnesses before declaring victory, understanding why RAG isn't always the answer for structured knowledge. This is about engineering discipline and pragmatism over hype. Experience at companies dealing with similar challenges is valuable-noisy data that needs aggregation, context building from disparate sources ...

build models, strategies and systems that price and trade financial instruments. You'll apply your experience in experiment design, dataset generation, time series analysis, feature engineering and model building to financial datasets, while collaborating with colleagues who will challenge and refine your approach. At Jane Street, our researchers ...

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 ...

platform stack and analytics capabilities. You will design, build and maintain scalable data pipelines, enable enterprise analytics, and advance data assets for querying and feature engineering. Collaborate with data scientists and wranglers, ensure data quality and security, and document architectures while progressing real-time and batch processing capabilities. ...

markets is not necessary, but an interest in the field is essentialProven expertise in Python and handling large datasetsFluency in data science practices, e.g., feature engineering. Experience with machine learning is a plusHighly motivated, curious, and critical thinkerCollaborative mindset with strong independent research abilitiesCommitment to the highest ethical standards ...

quantitative researchers to build models, strategies, and systems for pricing and trading financial instruments. You will apply experiment design, dataset generation, time series analysis, feature engineering, and model building to financial data, while collaborating with colleagues across research, engineering, and trading. You should be inherently curious, capable ...

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 ...

these connect to our users’ financial wellbeing through the product experience Advanced Python and SQL skills, and a strong understanding of dbt and Analytics Engineering for feature engineering. In-depth knowledge of varied statistical and machine learning techniques. You're capable across the full model lifecycle, including ...

hands-on projects and collaboration, while helping production systems scale for millions of travellers. You will gain exposure to model lifecycle, data exploration, and feature engineering, contributing #J-18808-Ljbffr ...

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 ...

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. ...

experienced researchers who are committed to teaching, guiding, and supporting new hires, learning how we think about experiment design, dataset generation, time series analysis, feature engineering, and model building for financial datasets. #J-18808-Ljbffr ...