76 to 100 of 111 Model Validation Jobs in London

with production-level code, version control (e.g., Git), and high-performance computing environments. Contributions to the development of systematic trading strategies that have been successfully deployed. Histories of rigorous model validation and performance analysis, with emphasis on avoiding overfitting and managing risk. Qualifications, Licenses And Academic Achievements: Ph.D. in a quantitative field highly preferred. Published research in top More ❯

What You’ll Be Doing: Designing and building machine learning models to solve real-world problems Carrying out full data science workflows: from data acquisition and cleaning to modelling, validation, and deployment Applying statistical and AI techniques to generate actionable insights Contributing to experimental research, model prototyping, and A/B testing Presenting findings clearly to both technical … a related discipline Strong programming skills in Python (e.g. NumPy, pandas, scikit-learn, matplotlib); R is also welcome A solid understanding of core machine learning concepts, data wrangling, and model evaluation Proficiency with SQL and experience handling large datasets A passion for solving complex problems using data and a continuous learning mindset Excellent communication and collaboration skills Full right More ❯

What You’ll Be Doing: Designing and building machine learning models to solve real-world problems Carrying out full data science workflows: from data acquisition and cleaning to modelling, validation, and deployment Applying statistical and AI techniques to generate actionable insights Contributing to experimental research, model prototyping, and A/B testing Presenting findings clearly to both technical … a related discipline Strong programming skills in Python (e.g. NumPy, pandas, scikit-learn, matplotlib); R is also welcome A solid understanding of core machine learning concepts, data wrangling, and model evaluation Proficiency with SQL and experience handling large datasets A passion for solving complex problems using data and a continuous learning mindset Excellent communication and collaboration skills Full right More ❯

and employee development. Their risk and analytics functions are highly regarded, and the organisation is investing significantly in data-led decision making. THE ROLE You'll lead IFRS 9 model development within the mortgage's portfolio, with a focus on PD and LGD model design and implementation. This is a hands-on technical role, but also requires strong … Your key responsibilities will include: Leading the development of IFRS 9 PD and LGD models for the mortgage's portfolio. Managing and mentoring a team of two analysts. Supporting model monitoring, validation, and performance analysis. Contributing to stress testing and wider regulatory risk modelling as required. Collaborating with senior stakeholders to define modelling priorities and communicate insights effectively. More ❯

Your new company You will be joining an expanding consultancy focused on supporting innovation in the pharmaceutical and biotech industry. Its specialist research division is dedicated to solving complex biological problems through advanced statistical modelling and ML/AI. They More ❯

Your new company You will be joining an expanding consultancy focused on supporting innovation in the pharmaceutical and biotech industry. Its specialist research division is dedicated to solving complex biological problems through advanced statistical modelling and ML/AI. They More ❯

Your new company You will be joining an expanding consultancy focused on supporting innovation in the pharmaceutical and biotech industry. Its specialist research division is dedicated to solving complex biological problems through advanced statistical modelling and ML/AI. They More ❯

Your new company You will be joining an expanding consultancy focused on supporting innovation in the pharmaceutical and biotech industry. Its specialist research division is dedicated to solving complex biological problems through advanced statistical modelling and ML/AI. They More ❯

Your new company You will be joining an expanding consultancy focused on supporting innovation in the pharmaceutical and biotech industry. Its specialist research division is dedicated to solving complex biological problems through advanced statistical modelling and ML/AI. They More ❯

Your new company You will be joining an expanding consultancy focused on supporting innovation in the pharmaceutical and biotech industry. Its specialist research division is dedicated to solving complex biological problems through advanced statistical modelling and ML/AI. They More ❯

sophisticated algorithms for Pricing and AI projects using PyTorch. Craft and refine ML models to improve their performance, scalability, and adaptability. Analyze and interpret complicated data sets to advise model development and ensure accuracy and efficiency. Stay abreast of the latest developments in ML and artificial intelligence, integrating new methodologies and techniques as appropriate. Collaborate across multiple teams to … integrate ML solutions within broader product and platform initiatives. Contribute to the development of standardized processes for model evaluation, validation, and deployment to production environments. Drive the exploration and adoption of brand new ML technologies to maintain our competitive edge in the industry. Your experience should include 4+ years of overall experience and 2+ years of experience in … scale and sophisticated data sets Experience in applying machine learning to domains such as e-commerce, finance, health care, etc. Experience in using ML tools such as Mlflow for model lifecycle management. Experience in building ML models in production using AWS ecosystem, especially ML related services such as SageMaker. Familiarity with large language models (LLM). Proficiency in multiple More ❯

fit for purpose and satisfies the regulatory criteria for the winding down of the trading book. The document will be for internal use and will go to Group Risk Model Validation for sign off but also ultimately be available to the PRA. Key Activities The consultant will be involved in writing and collating the information for this document More ❯

institutions and businesses which make the UK what it is. By encompassing a wide range of disciplines across a breadth of areas such as FRTB, Traded Risk, Conduct risk, Model Validation and Ops Risk we become immersed in our clients' organisations, applying sector knowledge and technology solutions to deliver the best possible outcomes and get it right first More ❯

institutions and businesses which make the UK what it is. By encompassing a wide range of disciplines across a breadth of areas such as FRTB, Traded Risk, Conduct risk, Model Validation and Ops Risk we become immersed in our clients' organisations, applying sector knowledge and technology solutions to deliver the best possible outcomes and get it right first More ❯

imagery, and proprietary sourcesEnsure data quality, consistency, and reliability across heterogeneous data streams ML Development: Design and deploy models for pattern recognition, anomaly detection, and time-series forecastingContribute to model training, validation, and optimization processes Software Engineering: Develop production ML systems in Python on Google Cloud PlatformBuild and maintain APIs for data ingestion, model serving, and system More ❯

imagery, and proprietary sourcesEnsure data quality, consistency, and reliability across heterogeneous data streams ML Development: Design and deploy models for pattern recognition, anomaly detection, and time-series forecastingContribute to model training, validation, and optimization processes Software Engineering: Develop production ML systems in Python on Google Cloud PlatformBuild and maintain APIs for data ingestion, model serving, and system More ❯

with other teams to understand and solve business problems About you: Python (pandas, NumPy, scikit-learn): For data wrangling, modelling, and feature engineering SQL: For querying structured data sources Model Development & Validation: Experience with classification, unsupervised learning (e.g. outlier detection), and ranking models Machine Learning Deployment: Familiarity with containerised deployment (e.g. Podman, SageMaker, DSW pipelines) Version Control (Git … risk trends over financial years Exploratory Data Analysis (EDA): To spot early signals or risk clusters Desirable: Rank Aggregation/Ensemble Techniques: Understanding methods like Robust Rank Fusion (RRF) Model Explainability Tools: e.g. SHAP, LIME to support interpretability Experience with Model Monitoring & Drift Detection Experience in RegTech/FinCrime/Data-led Supervision Projects is a plus Additional More ❯

a range of people - both technical and non-technical - and a collaborative approach to getting things done. An interest inservice design and introduction, including things like support models, service validation, and process mapping (e.g., using Visio). Some exposure to tools likeServiceNowandJira, and an awareness of ways of working such asAgile,DevOps, orITIL. Additional information We're always looking More ❯

and Feature Engineering Data Visualization (e.g., Matplotlib, Seaborn, Plotly, Tableau) Machine Learning Fundamentals (e.g., Supervised, Unsupervised Learning) Machine Learning Algorithms (e.g., Regression, Classification, Clustering, Decision Trees, SVMs, Neural Networks) Model Evaluation and Validation Big Data Technologies (e.g., Spark, Hadoop - conceptual understanding) Database Querying (e.g., SQL) Cloud-based Data Platforms (e.g., AWS Sagemaker, Google AI Platform, Azure ML) Ethics More ❯

acquisition forecasts Support ad hoc strategic analysis to provide recommendations that drive increased return on spend through shifts in mix, flighting, messaging and tactics, and that help cross-validate model results Provide insights to marketing and finance teams, helping to design and execute experiments to move recommendations forward based on company goals (e.g., subscriber growth, LTV, etc ) Support long … MMM) Exposure/understanding of media attribution practices for digital and linear media, the data required to power them and methodologies for measurement Understanding of incrementality experiments to validate model recommendations and gain learnings on channel/publisher efficacy Exposure to/familiarity with with BI/data concepts and experience building out self-service marketing data solutions Experience More ❯

Allan Webb Ltd are now looking to recruit an AI & Data Science Analyst to be part of their dedicated Data Solutions Capability. We are offering a Permanent Salary of up to £35,000 depending on experience. This is a Hybrid More ❯

cases. This is an exciting opportunity to shape how AI is built and adopted across the company. What you'll do Design, develop, and maintain backend services that support model training, inference, and experimentation Develop tooling that improves reliability, reproducibility, and speed of AI development and deployment across Miro Contribute to system architecture and infrastructure choices with a focus … to problem-solving Experience with ML Ops Experience working in a product-led company or supporting AI in end-user features Understanding of AI/ML concepts such as model training, validation, and evaluation metrics What's in it for you Competitive equity package Health insurance for you and your family Lunch, snacks and drinks provided in the More ❯

to uncover insights, test hypotheses, and identify features that drive business value Work on all parts of the data science workflow: from data cleaning and exploratory analysis to offline model benchmarking and validation Collaborate with marketers to reduce manual overhead in campaign management while improving ad efficiency and profitability Improve our ad feed infrastructure to ensure product attributes … pricing and availability are optimised for campaign performance Contribute as needed to product data initiatives (e.g. classification, deduplication), especially where they impact ad quality or model input 3+ years of experience building and deploying ML models in production Strong Python and SQL skills, with a solid understanding of data wrangling, feature engineering and model evaluation Deep understanding of … the data science process-comfortable with exploratory analysis, statistical testing, and model comparison techniques Experience with structured prediction problems (e.g. regression, classification, ranking) using real-world, often messy data Familiarity with advertising systems (Google Shopping, PMAX, etc.) and marketing metrics like ROAS, profit, and conversion is a strong advantage Experience productionising ML models-setting up training pipelines, versioning, monitoring More ❯

3rd hire, making it a rare opportunity to join a consultancy with significant growth potential. THE ROLE You will be doing the following daily: Lead the design, development, and validation of credit risk models, with a primary focus on IFRS 9. Have an in-depth understanding of Basel and IFRS 9 regulatory frameworks, ensuring full compliance throughout the model More ❯

Sr. Program Manager : Cost to Serve, RBS : Cost to Serve About strives to be Earth's most customer-centric company where people can find and discover virtually anything they want to buy online. By giving customers more of what they More ❯