76 to 100 of 111 Feature Engineering Jobs in London

delivery within process transformation engagements — connecting data exploration and insight generation directly to future-state process design; maintain working knowledge of data pipeline concepts, feature engineering, and what makes data reliable for AI-integrated processes, sufficient to lead credible technical conversations with data and engineering teams. Design ...

expand their machine learning skills. Responsibilities Create statistical summaries to support hypothesis testing and data-driven decisions during EDA Implement data preparation and feature engineering pipelines for the models Plan and implement algorithms for predictive modeling. Provide continuous improvement of models in production Lead the ML-driven python ...

Solid Python programming skills and understanding of machine learning fundamentals. Growing familiarity with AI technologies, particularly LLMs and Azure OpenAI. Experience with data preparation, feature engineering, and model evaluation. Good communication skills and ability to explain technical concepts to non-technical audiences. A commitment to Movar's IDEAL ...

algorithms, including supervised, unsupervised, semi-supervised, reinforcement, and deep learning; Design and optimize machine learning pipelines and workflows, incorporating techniques for data cleaning, feature engineering, model selection, and hyperparameter tuning; and Develop scalable and efficient machine learning infrastructure and systems for training, testing, and deploying models in production ...

economic return optimization. You’ll develop calibration frameworks, ensure compliance with regulatory and fairness standards, and explore novel methodologies — including LLMs for explainability and feature engineering. Collaborating with cross-functional teams, you’ll translate modeling insights into strategic credit policies and business value, while mentoring junior team members ...

relevant, grounded and non-hallucinating content AI capabilities that helps shape traveller and partner value across Expedia Group. Apply effective stakeholder management across Product, Engineering, senior leadership, and cross-functional partners. Optimize delivery through iterative execution, clear decision-making, effective processes, and a focus on measurable outcomes. Bring … engineering mindset to machine learning work by promoting maintainable, modular, scalable, and production-aware solutions. Communicate technical concepts, progress, insights, and recommendations clearly to varied audiences. Build team practices that support feedback, knowledge sharing, professional development, recruiting, performance management, and career growth. Experience and Qualifications: Required4-5+ years ...

payments data sources Develop secure, high-quality production code in Python, and review and debug code written by others Build data pipelines and feature engineering jobs on Databricks to prepare payments data for model training and agent retrieval Contribute to the MLOps path for optimization and prediction models … model services Foster a team culture of diversity, opportunity, inclusion, and respect Required Qualifications, Capabilities, and Skills: Formal training or certification in software engineering concepts and applied experience Hands‐on practical experience in system design, application development, testing, and operational stability Proficiency in Python and coding ...

relevant, grounded and non-hallucinating content AI capabilities that helps shape traveller and partner value across Expedia Group. Apply effective stakeholder management across Product, Engineering, senior leadership, and cross-functional partners. Optimize delivery through iterative execution, clear decision-making, effective processes, and a focus on measurable outcomes. Bring … engineering mindset to machine learning work by promoting maintainable, modular, scalable, and production-aware solutions. Communicate technical concepts, progress, insights, and recommendations clearly to varied audiences. Build team practices that support feedback, knowledge sharing, professional development, recruiting, performance management, and career growth. Experience and Qualifications: Required 4-5+ ...

relevant, grounded and non-hallucinating content AI capabilities that helps shape traveller and partner value across Expedia Group.* Apply effective stakeholder management across Product, Engineering, senior leadership, and cross-functional partners.* Optimize delivery through iterative execution, clear decision-making, effective processes, and a focus on measurable outcomes.* Bring … engineering mindset to machine learning work by promoting maintainable, modular, scalable, and production-aware solutions.* Communicate technical concepts, progress, insights, and recommendations clearly to varied audiences.* Build team practices that support feedback, knowledge sharing, professional development, recruiting, performance management, and career growth. **Experience and Qualifications:** Required* 4-5+ ...

move more freely between more people , making the online shopping experience seamless and accessible to everyone. THE TEAM ~110 people , more than half in engineering, product and data 45+ advanced degrees across computer science, mathematics and operations research Thousands of data points captured, calculated, analysed and predicted for every … Work with team members across the business to understand their data needs and deliver solutions Shape our practices — Help define and evolve our analytics engineering processes and standards as we scale What We're Looking For 5+ years of experience as an analytics engineer, data engineer, data analyst ...

lending lifecycle. Key responsibilities include: Leading end-to-end validation of credit risk, machine learning and decisioning models Assessing model methodology, assumptions, data quality, feature engineering and target definitions Evaluating model performance, calibration, stability and robustness across different portfolios and customer segments Designing and maintaining model calibration ...

action.·Develop and validate propensity, churn, customer-value models and customer-level forecasts.·Work with large customer datasets spanning multiple years, owning data preparation, feature engineering and model evaluation.·Partner with marketing and CRM teams to activate model outputs in campaigns and measure their impact.·Take models through … production with engineering colleagues, monitoring performance and improving them over time.·Explain your recommendations to product teams, clients and senior stakeholders. What you'll bringYou'll be actively building models in Python and SQL, with examples you can explain from the original business question through to implementation and results. ...

Monitoring (TM)solution, you will own the tactical execution of features in an enterprise-grade AML/CLMplatform.You’llwork closely with cross-functional teams (engineering,customers, productmanagersandclient solutions) to deliver mission-critical capabilities:detectionengines,AI models,AI agents,tuning & calibration,alertand case managementUX, audit and reporting. You will translate … evolving threatsusing ground-breaking technology. Key Responsibilities Decompose high-level features/requirementsinto user stories, acceptance criteria, and clear backlog prioritization. Collaborate with engineering, data science, andsolutions teamsto deliver high-quality TM features (real-time and batch pipelines,detection analytics,alert scoring,alert/case creation, feedback loops). ...

software and technical infrastructure. The role involves the development and maintenance of sophisticated tools for alpha research along with the production systems used in feature engineering, portfolio construction, and trade execution. Location London Principal Responsibilities Develop sophisticated research tooling to enable and accelerate alpha discovery. Develop real-time … etc. DevOps: version control, testing frameworks, release processes, build systems. Excellent communication, problem-solving, and analytical skills. Preferred Experience Extremely strong computer science or engineering background with 5+ years of experience. Experience designing and implementing: Distributed Systems. Real-time event-driven systems. Large-scale time series data ingress, storage ...

betting syndicate, or bookmaker. Or, PhD or equivalent in Statistics or a related field (e.Data Science, Mathematics). Candidates from adjacent fields (Computer Science, Engineering, Finance) are welcome via either route, provided they have solid applied statistics experience. Applied statistics:Solid understanding of GAMsandGLMs. Modeldiagnostics:Ability to evaluatepredictive model … modelling and sportsanalytics.:Evidencedby personal projects, MScprojectin a related area, or statistical analyses of sports or teams. Comfortablein R,in particularwithdata.table,mgcvandtestthatfor unit testing. Engineering discipline: unit testing, config-driven pipelines, clean git workflow. Willing to write tests,documentas you go, and follow strict code style. Uses AI coding ...

world's money. For everyone, everywhere. Join us as a Senior Software Engineer in our critical Account Integrity 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. How we work … securing customers' money, accelerating product growth by raising automation levels, and helping us engineer a world-class money transfer product. What do you need? Engineering Expertise: Professional experience with Java or other JVM-based languages, including the Spring framework. System Design & Operation: Proven experience designing and operating CI/ ...

closely with data acquisition and commercial teams to assess potential data investments. Applying techniques such as time series analysis, correlation analysis, hypothesis testing, and feature engineering. Identifying new opportunities to create valuable data products and customer insights. Managing and developing members of the Data Research team while raising technical … Proven experience evaluating, validating, and extracting value from new and unstructured datasets. Strong Python skills and a solid statistical background. Experience with data discovery, feature engineering, and transforming messy datasets into scalable analytical assets. Demonstrable experience leading open-ended research projects from concept through to business recommendation. Experience ...

money. For everyone, everywhere. Join us as a Senior Full-Stack Engineer in our critical Account Integrity 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 Account Integrity Team … Product, Data Science, Investigations). Experience in mentoring and growing more junior Engineers. Nice to Have: Familiarity with the machine learning lifecycle (data pipelines, feature engineering, and deploying ML systems into production). For everyone, everywhere. We're people building money without borders — without judgement or prejudice, too. ...

come beyond. Our UK customers can also save , invest and combine their pensions with us.With our hot coral cards and get-paid-early feature, combined with financial education on social media and our award winning customer service, we have a long history of creating magical moments for our customers … scales into new marketsshaping how advanced ML and AI can create real value in BorrowingYou’ll partner closely with leaders across Credit Strategy, Product, Engineering, Model Validation, Data, and Platform, and influence decisions that shape both business performance and the long-term architecture of credit decisioning at Monzo.What ...

with Data Scientists and wider technology teams to productionise models. Develop high quality Python code and support CI/CD processes. Create and optimise feature engineering and data preparation workflows. Monitor model performance and ensure ongoing reliability. Produce clear technical documentation and knowledge sharing materials. Engage with technical … learning solutions into production environments. Understanding of data processing, transformation and pipeline development. Experience building and maintaining end to end ML workflows. Solid software engineering and coding best practices. Exposure to modern AI and deep learning approaches including NLP and large language model related technologies. Reasonable Adjustments: Respect ...

acquire, aggregate, refine andsecurely move data from source to target Developand maintain data assets to enable enterprise querying and analytics. Managedatasets to support feature engineering, APIs and ingestion processes Build,publish and maintain reusable data assets for real-time and analyticalconsumption Design,implement and document data architecture ...

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: Design, develop, and apply machine learning solutions to real-world personalization, product, and business problems, translating ambiguous opportunities … into scalable models, experiments, and production-ready capabilities. Drive end-to-end scientific work across problem formulation, data exploration, feature engineering, model development, evaluation, and iteration, with strong attention to measurable impact. Partner closely with engineers, product, and business stakeholders to integrate machine learning solutions into services ...

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 ...

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/ ...

with Us Datatonic is Google Cloud's premier AI and data partner, specializing in designing, building, and operating production AI systems. We combine software engineering, machine learning, data engineering, and analytics on Google Cloud Platform (GCP) with top-tier consulting skills to turn complex business requirements into reliable … production-grade products. Your Mission As a Pod Lead, you will bridge high-level technical leadership, hands‐on engineering execution, team leadership and consulting. You will lead, mentor, and grow a dedicated pod of AI Engineers while directly designing, deploying, and evaluating cutting‐edge AI systems. You will ...