151 to 175 of 183 Feature Engineering Jobs in the UK

Fincrime - Scam Preventionat Wise • Worship St, London, UKBack to jobs1. Home2. Jobs3. UK4. Software Engineer - Fincrime - Scam Prevention—W## Software Engineer - Fincrime - Scam PreventionWise20Software Engineering, Fincrime, Scam PreventionFull-timeGBP 68,000 - GBP 87,500 - yearlyWorship St, London, UKApply Job### Job DescriptionWise is a global technology company, building the best … world's money. For everyone, everywhere. Join us as a Software Engineer in our critical Scam Prevention team. This is a high-impact engineering role with a strong product focus, dedicated to solving complex, real-world adversarial problems to directly protect our global customer base. The Scam Prevention team ...

This role is responsible for the delivery of data-driven applications and analytical solutions across the programme, combining expertise in Oracle APEX development, analytics engineering and data science enablement. The position will design and develop reporting solutions, dashboards, lightweight applications and analytical proofs of concept (PoCs), leveraging the client … data visualisations, semantic models and automated reporting solutions, translating complex data into meaningful business insights. Support data science and AI initiatives through data preparation, feature engineering and model input development, collaborating with AI Engineers to deliver analytical proofs of concept (PoCs). Work across Oracle Autonomous Data Warehouse ...

typically lead a team or the solution delivery effort, demonstrating technical excellence through leading by example. You could be providing technical support, leading an engineering team or working across multiple teams as a subject matter expert who is critical to the success of a large programme of work. Your … deployments. Shape team behaviour for writing specifications and acceptance criteria, estimating stories, sprint planning and documentation. Actively define and evolve PA’s data engineering standards and practices, ensuring we maintain a shared, modern and robust approach. Lead and influence technical discussions with client stakeholders to achieve the collective ...

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/ ...

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/ ...

seeking a highly motivated Quantitative Software Engineer/Quantitative Developer to join their Systematic Strategies team in London. This is a hands‐on engineering role focused on building and scaling the technology platform that underpins the firm's systematic investment strategies. Working directly alongside Quantitative Researchers, Portfolio Managers … developing the infrastructure, tooling and production systems that support the full life-cycle of systematic trading strategies. The ideal candidate will have a strong engineering mindset, a deep understanding of quantitative research workflows, and experience building robust, scalable systems used in systematic trading environments. This role offers the opportunity ...

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/ ...

Frontend (BFF) layers, and core Java backend services; proficiency across all areas is expected, with skill distribution balanced across the team. Key Responsibilities Feature Engineering: Design and enhance user-facing features on web and mobile applications using modern frontend platforms alongside Agentic AI techniques, leveraging tools like Claude … ceremonies, address technical debt, and collaborate within multi-team setups to meet project milestones efficiently. Qualifications & Requirements Bachelor's degree in Computer Science, Software Engineering, a related technical discipline, or equivalent practical background (e.g., reputable coding bootcamp completion). 3+ years of professional full-stack, frontend, or backend development ...

lifetime value Use experimentation, analytics and owner feedback to drive decision-making Improve service delivery across Forge platforms, integrations and ecosystems Partner with Product, Engineering, Data Science, Commercial and Customer Success teams Identify opportunities to create scalable, revenue-generating managed services Monitor service quality, adoption and owner experience performance … expertise Experience building and scaling service-based, marketplace or B2B2C products Strong commercial acumen and data-driven decision-making skills Experience working closely with Engineering, Data and cross-functional teams Excellent stakeholder management, communication and influencing skills Understanding of APIs, integrations and service-based architectures Experience using AI-powered ...

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 ...

developing and implementing machine learning models Programming skills in languages, tools and frameworks commonly used in data science Experience in data preprocessing and feature engineering Computer science skills to support the overall development of the data science service UK Driving Licence You’re comfortable working well in teams ...

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 ...

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 ...

London Stock Exchange Group is seeking a Senior Lead ML Engineer to provide technical leadership across the ML lifecycle, from data ingestion and feature engineering to production deployment and monitoring. The role focuses on building scalable, low-latency ML systems and establishing robust governance and MLOps practices. ...

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 ...

leading systematic hedge fund looking for a Quant Developer to join a front-office systematic trading team . This is a hands-on engineering role working directly with Quant Researchers and Strategists to build and support the technology behind live systematic trading strategies in production. Please note: Experience building … production systematic trading strategies is mandatory . What you'll work on: Real-time market data and tick-data processing systems Alpha generation and feature engineering pipelines ML infrastructure and research-to-production frameworks Strategy execution platforms and OMS integrations Requirements: Current experience at a systematic hedge fund ...