[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"seo-content-expertise-machine-learning-gb":3,"job-search-\u002Fen-gb\u002Fjobs-by-expertise\u002Fmachine-learning":33,"expertise-filters-\u002Fen-gb\u002Fjobs-by-expertise\u002Fmachine-learning":434,"featured-jobs-\u002Fen-gb\u002Fjobs-by-expertise\u002Fmachine-learning":579},{"image_path":4,"content_de":5,"content_en":18,"composite_key":31,"last_updated":32},"\u002Fimages\u002Fexpertise\u002Fmachine-learning.webp",{"tab1":6,"tab2":9,"tab3":12,"tab4":15},{"title":7,"content":8},"Bedeutung & Relevanz","Maschinelles Lernen (Machine Learning) ist im [Vereinigtes Königreich](\u002Fsearch) von entscheidender strategischer Bedeutung für den Finanzsektor. Es ermöglicht die Analyse riesiger Datenmengen, um Muster zu erkennen, Risiken zu bewerten und fundierte Anlageentscheidungen zu treffen. In [London](\u002Fjobs-in-london), dem führenden Finanzzentrum, treibt ML Innovationen voran, verbessert die Effizienz und schafft wettbewerbsfähige Vorteile. Durch Algorithmen können Finanzinstitute Markttrends vorhersagen, Betrug erkennen und personalisierte Dienstleistungen anbieten, was die Kundenzufriedenheit steigert und die Rentabilität erhöht. Die Integration von ML in die [Finance](\u002Fjobs-by-industry\u002Ffinance) stärkt die Position des Vereinigten Königreichs als globaler Finanzhub und fördert nachhaltiges Wachstum.",{"title":10,"content":11},"Top-Branchen & Standorte","Maschinelles Lernen ist im [Vereinigtes Königreich](\u002Fsearch) besonders in der [Finance](\u002Fjobs-by-industry\u002Ffinance)-Branche gefragt, wo es für datengesteuerte Entscheidungen und automatisierte Prozesse eingesetzt wird. Top-Standorte wie [London](\u002Fjobs-in-london) bieten zahlreiche Möglichkeiten, da hier viele Finanzinstitute und Tech-Firmen ansässig sind. Weitere relevante Branchen umfassen [Banking](\u002Fjobs-by-industry\u002Fbanking) und [Asset Management](\u002Fjobs-by-industry\u002Fasset-management), die ML für Risikomanagement und Portfolioptimierung nutzen. Der Fokus auf [London](\u002Fjobs-in-london) unterstreicht die Bedeutung urbaner Zentren für ML-Innovationen, während die [Finance](\u002Fjobs-by-industry\u002Ffinance)-Branche weiterhin führend in der Adoption bleibt.",{"title":13,"content":14},"Gefragte Skills & Arbeitgeber","Im [Vereinigtes Königreich](\u002Fsearch) verlangen Top-Arbeitgeber wie Pacific Investment Mgt Co. LLC nach Maschinellem Lernen in Kombination mit Expertise wie [Quantitative Research](\u002Fjobs-by-expertise\u002Fquantitative-research), [Fundamental Analysis](\u002Fjobs-by-expertise\u002Ffundamental-analysis) und [Credit Modeling](\u002Fjobs-by-expertise\u002Fcredit-modeling). Weitere gefragte Bereiche sind [Portfolio Analytics](\u002Fjobs-by-expertise\u002Fportfolio-analytics), [Empirical Investment Research](\u002Fjobs-by-expertise\u002Fempirical-investment-research) und [Numerical Problem Solving](\u002Fjobs-by-expertise\u002Fnumerical-problem-solving). Unternehmen setzen auf ML, um [Big Data](\u002Fjobs-by-expertise\u002Fbig-data) zu analysieren, Renditen vorherzusagen und Sektoren sowie Unternehmen zu modellieren. Dies macht ML zu einem Schlüsselelement für innovative Finanzlösungen und wettbewerbsfähige Angebote.",{"title":16,"content":17},"Karriere & Entwicklung","Karrierewege im Maschinellen Lernen im [Vereinigtes Königreich](\u002Fsearch) umfassen Rollen wie Data Scientist, ML Engineer oder Quantitative Analyst, oft mit Fokus auf [Finance](\u002Fjobs-by-industry\u002Ffinance). Zum Erlernen der Fähigkeit sind Kenntnisse in [Python](\u002Fjobs-by-skill\u002Fpython) und [C++](\u002Fjobs-by-skill\u002Fc-plus-plus) essenziell, ergänzt durch Expertise in [Quantitative Research](\u002Fjobs-by-expertise\u002Fquantitative-research) und [Big Data](\u002Fjobs-by-expertise\u002Fbig-data). Praktische Erfahrung durch Projekte, Online-Kurse oder Hochschulabschlüsse in Informatik oder Statistik fördert die Entwicklung. Fortbildungen in [Numerical Problem Solving](\u002Fjobs-by-expertise\u002Fnumerical-problem-solving) und [Predicting Returns](\u002Fjobs-by-expertise\u002Fpredicting-returns) helfen, sich in dynamischen Märkten wie [London](\u002Fjobs-in-london) zu behaupten und langfristig zu wachsen.",{"tab1":19,"tab2":22,"tab3":25,"tab4":28},{"title":20,"content":21},"Strategic Importance","Machine learning is a cornerstone of innovation in the [Vereinigtes Königreich](\u002Fsearch)'s financial sector, driving data-driven decision-making and competitive advantage. In [London](\u002Fjobs-in-london), a global financial hub, machine learning enables firms to analyze vast datasets, predict market trends, and optimize investment strategies. This skill is critical for enhancing efficiency, reducing risks, and uncovering new opportunities in [finance](\u002Fjobs-by-industry\u002Ffinance), making it indispensable for staying ahead in a rapidly evolving market. Its application spans from automating routine tasks to developing sophisticated models that support high-stakes financial operations, solidifying its role as a key driver of growth and resilience in the UK economy.",{"title":23,"content":24},"Top Industries & Locations","In the [Vereinigtes Königreich](\u002Fsearch), machine learning is highly sought after in the [finance](\u002Fjobs-by-industry\u002Ffinance) industry, particularly in major hubs like [London](\u002Fjobs-in-london). This city hosts numerous financial institutions leveraging machine learning for tasks such as risk assessment, fraud detection, and algorithmic trading. The demand extends to other sectors like [banking](\u002Fjobs-by-industry\u002Fbanking) and [investment management](\u002Fjobs-by-industry\u002Finvestment-management), where data analytics and predictive modeling are essential. [London](\u002Fjobs-in-london)'s concentration of tech and finance firms makes it the epicenter for machine learning roles, offering abundant opportunities for professionals skilled in this transformative technology.",{"title":26,"content":27},"In-Demand Skills & Employers","Top companies like [Pacific Investment Mgt Co. LLC](\u002Fcompany\u002Fpacific-investment-mgt-co-llc) in the [Vereinigtes Königreich](\u002Fsearch) seek professionals with machine learning expertise, often requiring related skills such as [quantitative research](\u002Fjobs-by-expertise\u002Fquantitative-research), [fundamental analysis](\u002Fjobs-by-expertise\u002Ffundamental-analysis), [credit modeling](\u002Fjobs-by-expertise\u002Fcredit-modeling), [portfolio analytics](\u002Fjobs-by-expertise\u002Fportfolio-analytics), [empirical investment research](\u002Fjobs-by-expertise\u002Fempirical-investment-research), [numerical problem solving](\u002Fjobs-by-expertise\u002Fnumerical-problem-solving), [big data](\u002Fjobs-by-expertise\u002Fbig-data), predicting returns, and modeling individual sectors and companies. These competencies are crucial for developing robust machine learning models that enhance investment strategies and financial analysis. Employers value a blend of technical prowess and domain knowledge to drive innovation and maintain a competitive edge in the market.",{"title":29,"content":30},"Career & Development","A career in machine learning in the [Vereinigtes Königreich](\u002Fsearch) often starts with mastering foundational skills like [Python](\u002Fjobs-by-skill\u002Fpython) and [C++](\u002Fjobs-by-skill\u002Fc-plus-plus), which are essential for implementing algorithms and data processing. Professionals can advance by specializing in areas such as [quantitative research](\u002Fjobs-by-expertise\u002Fquantitative-research), [big data](\u002Fjobs-by-expertise\u002Fbig-data), or [portfolio analytics](\u002Fjobs-by-expertise\u002Fportfolio-analytics), often through certifications, online courses, or advanced degrees. Continuous learning and hands-on projects are key to staying relevant. Opportunities abound in roles like data scientist or ML engineer, with growth paths leading to leadership positions in top firms, leveraging machine learning to shape the future of finance and technology.","expertise:machine-learning:gb","2026-08-17T09:09:33.907136+02:00",{"total":34,"jobs":35},14,[36,86,121,151,164,196,237,276,294,315,332,366,396,415],{"id":37,"slug":38,"title":39,"raw_title":40,"is_featured":41,"company":42,"raw_hiringOrganization_logo_url":40,"processed_city_gmaps":45,"processed_country_iso_code_gmaps":47,"processed_home_office":49,"processed_salary_min":50,"processed_salary_max":51,"processed_salary_currency":52,"processed_salary_source":53,"processed_working_hours":54,"processed_employment_types":56,"processed_it_skills":57,"processed_it_skills_labels":61,"processed_job_expertise_skills":76,"processed_job_expertise_skills_labels":77,"max_cpc":85,"actual_cpc":85},80043,"product-security-engineers-multiple-levels-hybrid-allstate-ni","Product Security Engineers 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management":59},[78,79,80,81,82,83,84],"Software Engineering","Distributed Systems","API Security","Application Security","Secure Software Development","Identity and Access Management","Machine Learning",1,{"id":87,"slug":88,"title":89,"raw_title":40,"is_featured":41,"company":90,"raw_hiringOrganization_logo_url":40,"processed_city_gmaps":94,"processed_country_iso_code_gmaps":96,"processed_home_office":49,"processed_salary_min":97,"processed_salary_max":97,"processed_salary_currency":52,"processed_salary_source":53,"processed_working_hours":98,"processed_employment_types":56,"processed_it_skills":99,"processed_it_skills_labels":100,"processed_job_expertise_skills":108,"processed_job_expertise_skills_labels":109,"max_cpc":85,"actual_cpc":85},81960,"principal-pricing-optimisation-analyst-allianz-insurance-2","Principal Pricing Optimisation Analyst",{"name":91,"slug":92,"logo_url":93},"Allianz Insurance","allianz-insurance","https:\u002F\u002Fcdn.phenompeople.com\u002FCareerConnectResources\u002FAISAIPGB\u002Fimages\u002FHeader-1706868786965.svg",[95],"Birmingham",[48],64000,[55],{"sql":58,"jira":60,"python":58,"pyspark":58,"ms office":59,"wtw radar":58,"databricks":58,"wtw emblem":58},[64,101,102,103,104,105,106,107],"SQL","PySpark","Databricks","WTW Emblem","WTW Radar","MS Office","Jira",{"gbms":58,"glms":58,"data analysis":58,"data pipeline":58,"responsible ai":60,"machine learning":58,"insurance pricing":58,"price optimization":58,"predictive modeling":58,"customer lifetime value":58,"agile project management":60,"uk regulatory environment":58},[110,111,112,113,114,115,116,84,117,118,119,120],"Insurance Pricing","Predictive Modeling","Price Optimization","Data Pipeline","Data Analysis","GLMs","GBMs","UK Regulatory Environment","Customer Lifetime Value","Agile Project Management","Responsible AI",{"id":122,"slug":123,"title":124,"raw_title":40,"is_featured":41,"company":125,"raw_hiringOrganization_logo_url":40,"processed_city_gmaps":126,"processed_country_iso_code_gmaps":132,"processed_home_office":49,"processed_salary_min":133,"processed_salary_max":134,"processed_salary_currency":52,"processed_salary_source":53,"processed_working_hours":135,"processed_employment_types":56,"processed_it_skills":136,"processed_it_skills_labels":137,"processed_job_expertise_skills":141,"processed_job_expertise_skills_labels":142,"max_cpc":85,"actual_cpc":85},81513,"principal-technical-pricing-analyst-allianz-insurance-5","Principal Technical Pricing Analyst",{"name":91,"slug":92,"logo_url":93},[127,128,129,95,130,131],"London","Guildford","Bournemouth","Bristol","Manchester",[48],60000,90000,[55],{"sql":59,"python":59,"databricks":59,"wtw's radar":59,"wtw's emblem":59,"advanced excel":59},[138,64,101,103,139,140],"Advanced Excel","WTW's Radar","WTW's Emblem",{"back testing":58,"responsible ai":60,"machine learning":58,"technical pricing":58,"credibility theory":59,"large data sources":58,"project management":59,"statistical modelling":58,"generalized linear models (glms)":58,"gradient boosting machines (gbms)":58},[143,144,84,145,146,147,148,149,150,120],"Statistical Modelling","Generalized Linear Models (GLMs)","Gradient Boosting Machines (GBMs)","Large Data Sources","Technical Pricing","Back Testing","Project Management","Credibility Theory",{"id":152,"slug":153,"title":89,"raw_title":40,"is_featured":41,"company":154,"raw_hiringOrganization_logo_url":40,"processed_city_gmaps":155,"processed_country_iso_code_gmaps":156,"processed_home_office":49,"processed_salary_min":97,"processed_salary_max":97,"processed_salary_currency":52,"processed_salary_source":53,"processed_working_hours":157,"processed_employment_types":56,"processed_it_skills":158,"processed_it_skills_labels":159,"processed_job_expertise_skills":161,"processed_job_expertise_skills_labels":162,"max_cpc":85,"actual_cpc":85},71122,"principal-pricing-optimisation-analyst-allianz-insurance",{"name":91,"slug":92,"logo_url":93},[127],[48],[55],{"sql":58,"jira":60,"excel":58,"python":58,"pyspark":59,"ms office":59,"wtw radar":58,"databricks":59,"wtw emblem":59},[64,101,102,103,160,106,107,104,105],"Excel",{"gbms":58,"glms":58,"data analysis":58,"data pipeline":58,"responsible ai":60,"machine learning":58,"model deployment":59,"insurance pricing":58,"price optimization":58,"predictive modeling":58,"customer lifetime value":59,"agile project management":60,"uk regulatory environment":59},[110,111,112,84,115,116,113,114,163,117,118,119,120],"Model Deployment",{"id":165,"slug":166,"title":167,"raw_title":40,"is_featured":41,"company":168,"raw_hiringOrganization_logo_url":40,"processed_city_gmaps":171,"processed_country_iso_code_gmaps":172,"processed_home_office":173,"processed_salary_min":51,"processed_salary_max":174,"processed_salary_currency":52,"processed_salary_source":53,"processed_working_hours":175,"processed_employment_types":56,"processed_it_skills":176,"processed_it_skills_labels":177,"processed_job_expertise_skills":182,"processed_job_expertise_skills_labels":183,"max_cpc":85,"actual_cpc":85},71536,"quantitative-researcher-cmc-markets-uk-plc","Quantitative Researcher",{"name":169,"slug":170,"logo_url":40},"CMC Markets UK Plc","cmc-markets-uk-plc",[127],[48],"onsite",120000,[55],{"sql":58,"python":58,"pytorch":58,"xgboost":58,"tensorflow":58,"scikit-learn":58},[64,101,178,179,180,181],"scikit-learn","XGBoost","PyTorch","TensorFlow",{"bias detection":59,"risk management":58,"cross-validation":58,"machine learning":58,"model governance":59,"experiment design":58,"financial modeling":58,"model explainability":59,"time-series analysis":58,"out-of-sample testing":58,"production monitoring":59,"quantitative research":58,"overfitting prevention":59},[184,84,185,186,187,188,189,190,191,192,193,194,195],"Quantitative Research","Time-Series Analysis","Financial Modeling","Risk Management","Model Governance","Model Explainability","Bias Detection","Overfitting Prevention","Production Monitoring","Experiment Design","Cross-Validation","Out-of-Sample Testing",{"id":197,"slug":198,"title":199,"raw_title":40,"is_featured":41,"company":200,"raw_hiringOrganization_logo_url":40,"processed_city_gmaps":203,"processed_country_iso_code_gmaps":204,"processed_home_office":49,"processed_salary_min":134,"processed_salary_max":205,"processed_salary_currency":52,"processed_salary_source":53,"processed_working_hours":206,"processed_employment_types":56,"processed_it_skills":207,"processed_it_skills_labels":208,"processed_job_expertise_skills":217,"processed_job_expertise_skills_labels":218,"max_cpc":85,"actual_cpc":85},75945,"vice-president-senior-ai-engineer-mufg-united-kingdom-btmu","Vice President, Senior AI Engineer",{"name":201,"slug":202,"logo_url":40},"MUFG - United Kingdom (BTMU)","mufg-united-kingdom-btmu",[127],[48],130000,[55],{"aws":59,"mcp":59,"azure":58,"python":58,"azure ai":58,"langchain":58,"langgraph":58,"ci\u002Fcd pipelines":59,"vector databases":58},[64,209,210,211,212,213,214,215,216],"Azure","AWS","LangChain","LangGraph","Azure AI","MCP","Vector Databases","CI\u002FCD Pipelines",{"data science":58,"generative ai":58,"responsible ai":58,"data governance":58,"machine learning":58,"model evaluation":58,"prompt engineering":58,"model risk management":58,"technology evaluation":58,"secure by design (sbd)":59,"artificial intelligence":58,"architectural documentation":58,"support services (l1\u002Fl2\u002Fl3)":59,"financial services regulations":59,"technical standards definition":58,"architecture review board (arb)":59,"return on investment (roi) analysis":58,"retrieval augmented generation (rag)":58,"systems development lifecycle (sdlc)":58,"data protection impact assessment (dpia)":59},[219,84,220,221,222,223,224,225,226,227,228,229,230,120,231,232,233,234,235,236],"Artificial Intelligence","Data Science","Generative AI","Retrieval Augmented Generation (RAG)","Prompt Engineering","Model Evaluation","Systems Development Lifecycle (SDLC)","Secure by Design (SbD)","Architecture Review Board (ARB)","Data Protection Impact Assessment (DPIA)","Data Governance","Model Risk Management","Technical Standards Definition","Architectural Documentation","Technology Evaluation","Return on Investment (ROI) Analysis","Support Services (L1\u002FL2\u002FL3)","Financial Services Regulations",{"id":238,"slug":239,"title":240,"raw_title":40,"is_featured":41,"company":241,"raw_hiringOrganization_logo_url":40,"processed_city_gmaps":244,"processed_country_iso_code_gmaps":246,"processed_home_office":173,"processed_salary_min":247,"processed_salary_max":248,"processed_salary_currency":52,"processed_salary_source":53,"processed_working_hours":249,"processed_employment_types":56,"processed_it_skills":250,"processed_it_skills_labels":251,"processed_job_expertise_skills":266,"processed_job_expertise_skills_labels":267,"max_cpc":85,"actual_cpc":85},59524,"principal-platform-engineer-gbr006-refinitiv-limited","Principal Platform Engineer",{"name":242,"slug":243,"logo_url":40},"Refinitiv Limited","refinitiv-limited",[245],"Edinburgh",[48],100000,150000,[55],{"aws":59,"gcp":59,"sql":58,"java":59,"azure":59,"scala":59,"oracle":59,"presto":59,"python":58,"power bi":59,"clickhouse":60,"databricks":58,"postgresql":59,"sql server":59,"apache druid":60,"apache kafka":59,"apache pinot":60,"apache spark":58,"aws sagemaker":60,"azure ml studio":60},[64,62,252,101,103,253,254,255,209,210,256,257,258,259,260,261,262,263,264,265],"Scala","Apache Spark","Apache Kafka","Presto","GCP","Power BI","Oracle","PostgreSQL","SQL Server","Azure ML Studio","AWS Sagemaker","Clickhouse","Apache Druid","Apache Pinot",{"data analysis":58,"data modeling":58,"etl development":58,"machine learning":60,"stream analytics":60,"data architecture":58,"data visualization":59,"big data engineering":58,"data pipeline design":58,"real-time data processing":60},[268,269,270,271,272,114,273,84,274,275],"Big Data Engineering","Data Pipeline Design","Data Architecture","ETL Development","Data Modeling","Data Visualization","Real-time Data Processing","Stream Analytics",{"id":277,"slug":278,"title":279,"raw_title":40,"is_featured":41,"company":280,"raw_hiringOrganization_logo_url":40,"processed_city_gmaps":281,"processed_country_iso_code_gmaps":282,"processed_home_office":173,"processed_salary_min":134,"processed_salary_max":205,"processed_salary_currency":52,"processed_salary_source":53,"processed_working_hours":283,"processed_employment_types":56,"processed_it_skills":284,"processed_it_skills_labels":285,"processed_job_expertise_skills":288,"processed_job_expertise_skills_labels":289,"max_cpc":85,"actual_cpc":85},59545,"senior-applied-data-scientist-gbr006-refinitiv-limited","Senior Applied Data 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Standards",{"id":295,"slug":296,"title":297,"raw_title":40,"is_featured":41,"company":298,"raw_hiringOrganization_logo_url":40,"processed_city_gmaps":299,"processed_country_iso_code_gmaps":300,"processed_home_office":173,"processed_salary_min":133,"processed_salary_max":134,"processed_salary_currency":52,"processed_salary_source":53,"processed_working_hours":301,"processed_employment_types":56,"processed_it_skills":302,"processed_it_skills_labels":303,"processed_job_expertise_skills":306,"processed_job_expertise_skills_labels":307,"max_cpc":85,"actual_cpc":85},59559,"analyst-senior-analyst-oil-research-gbr006-refinitiv-limited","Analyst \u002F Senior Analyst - Oil Research",{"name":242,"slug":243,"logo_url":40},[127],[48],[55],{"python":58,"tableau":59,"power bi":58,"microsoft office":59},[64,257,304,305],"Tableau","Microsoft Office",{"report writing":59,"data collection":59,"machine learning":60,"primary research":59,"oil market analysis":58,"client presentations":59,"quantitative analysis":58,"supply and demand modeling":58},[308,309,310,311,312,313,314,84],"Oil Market Analysis","Supply and Demand Modeling","Quantitative Analysis","Primary Research","Data Collection","Report Writing","Client Presentations",{"id":316,"slug":317,"title":124,"raw_title":40,"is_featured":41,"company":318,"raw_hiringOrganization_logo_url":40,"processed_city_gmaps":319,"processed_country_iso_code_gmaps":320,"processed_home_office":49,"processed_salary_min":321,"processed_salary_max":134,"processed_salary_currency":52,"processed_salary_source":53,"processed_working_hours":322,"processed_employment_types":56,"processed_it_skills":323,"processed_it_skills_labels":324,"processed_job_expertise_skills":325,"processed_job_expertise_skills_labels":326,"max_cpc":85,"actual_cpc":85},46053,"principal-technical-pricing-analyst-allianz-insurance-4",{"name":91,"slug":92,"logo_url":93},[127],[48],70000,[55],{"sql":58,"excel":58,"python":58,"databricks":58},[64,101,103,160],{"gbm":58,"glm":58,"radar":58,"emblem":58,"back testing":58,"data analysis":58,"pricing models":58,"machine learning":58,"technical pricing":58,"statistical modelling":58},[143,327,84,328,114,329,148,147,330,331],"GLM","GBM","Pricing 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