solving skills, viewing technology as a means to solve challenges. Proficiency in a programming language (e.g., Scala, Python, Java, C#) with understanding of domainmodelling and application development. Knowledge of data management platforms (SQL, NoSQL, Spark/Databricks). Experience with modern engineering tools (Git, CI/CD More ❯
usability across various devices Build team confidence through collaboration and product-focused approaches. Apply strong technical design skills, including SOLID Principles, design patterns, domainmodelling, event-driven architectures, and micro-services. Take a test-first approach to development and integration testing. Develop global multi-lingual and multi-tenant More ❯
conducting critical technology solutions across multiple technical areas within various business functions in support of the firm's business objectives. Job responsibilities Use domainmodelling techniques to allow us to build best in class business products. Structure software so that it is easy to understand, test and evolve. More ❯
teams within the business to bring products to life. The Role: As a Data Modeler , you will be responsible for designing and implementing data models to support complex data environments. Your responsibilities: Engage with other data modelers, data architects and data professionals to continually improve the data modelling landscape. … Governance and oversight of data models ensuring they conform to agreed principles and standards. Supporting the delivery of change activity and ensuring that Business DomainModels meet the business needs. Nurturing a data culture and promoting data model usage. Assisting with implementing data models into … the change and governance frameworks. Building conceptual and logical data models that accurately represent data relationships. Working with both technical and business teams to elicit requirements and understand the business. Your Profile: Essential skills/knowledge/experience: Experience in Snowflake, DBT, Glue, Airflow. Experience with AWS Services. Good More ❯
teams within the business to bring products to life. The Role: As a Data Modeler , you will be responsible for designing and implementing data models to support complex data environments. Your responsibilities: Engage with other data modelers, data architects and data professionals to continually improve the data modelling landscape. … Governance and oversight of data models ensuring they conform to agreed principles and standards. Supporting the delivery of change activity and ensuring that Business DomainModels meet the business needs. Nurturing a data culture and promoting data model usage. Assisting with implementing data models into … the change and governance frameworks. Building conceptual and logical data models that accurately represent data relationships. Working with both technical and business teams to elicit requirements and understand the business. Your Profile: Essential skills/knowledge/experience: Experience in Snowflake, DBT, Glue, Airflow. Experience with AWS Services. Good More ❯
Us: We are looking an experienced Senior Analytics Engineer. As an Engineer, you'll have the chance to write great SQL, design complex data models, collaborate with a talented team, and deliver robust data products alongside Data Architects, Data Engineers and Product Managers. Join us to be part of … customers, we offer an unparalleled opportunity to work on groundbreaking projects. What You'll Do: Write efficient SQL queries and design domainmodels to uncover complex data relationships. Build and maintain scalable, robust, and well-tested data products using AWS, SQL, and CI/CD. Mentor colleagues … a test-driven and behaviour-driven development approach. Assist in architecting systems, designing efficient data solutions, and facilitating technical decision-making. Apply insightful domain knowledge to business problems, recommending and implementing data-led approaches. Ensure high-quality, accurate, and professional outputs that drive real business decisions. Who You More ❯
usability across various devices. Build team confidence through collaboration and product-focused approaches. Apply strong technical design skills, including SOLID Principles, design patterns, domainmodelling, event-driven architectures, and micro-services. Take a test-first approach to development and integration testing. Develop global multi-lingual and multi-tenant More ❯
and then communicate better understanding for the problems we need to be solving. Designing and building robust platform functionality , including developer-friendly APIs, domain and data modelling and integrations. Setting a high bar for collaboration, communication, and sound decision making . From well-written proposals and documentation to More ❯
integration systems that process vast amounts of data Industry leading bespoke, high performance search and recommendation systems Sophisticated real time pricing systems Complex domainmodelling and implementation of booking payment, fulfilment and management systems AI-powered solutions to assist customers pre and post booking Best in class, modern More ❯
end-to-end solutions in the form of cloud-native microservices architecture applications leveraging the latest technologies and the best industry practices Use domainmodelling techniques to allow us to build best in class business products. Structure software so that it is easy to understand, test and evolve. More ❯
end-to-end solutions in the form of cloud-native microservices architecture applications leveraging the latest technologies and the best industry practices Use domainmodelling techniques to allow us to build best in class business products. Structure software so that it is easy to understand, test and evolve. More ❯
to make a huge difference - on us as a company, and on our clients and business partners around the world. Job responsibilities Use domain modeling techniques to allow us to build best in class business products. Structure software so that it is easy to understand, test and evolve. More ❯
specific products and projects - and depending on your strengths and interests, you'll have the opportunity to move between them. Job responsibilities: Use domain modeling techniques to allow us to build best in class business products. Structure software so that it is easy to understand, test and evolve. More ❯
specific products and projects - and depending on your strengths and interests, you'll have the opportunity to move between them. Job responsibilities: Use domain modeling techniques to allow us to build best in class business products. Structure software so that it is easy to understand, test and evolve. More ❯
and infrastructure, with support from common resources like a DevOps team. The requirements Essential: Expertise in systems architecture, including designing and managing complex domain models. . Advanced proficiency in software development using an object-oriented language. Business-orientation: you can collaborate with stakeholders to translate complex challenges into More ❯
and infrastructure, with support from common resources like a DevOps team. The requirements Essential: Expertise in systems architecture, including designing and managing complex domain models. . Advanced proficiency in software development using an object-oriented language. Business-orientation: you can collaborate with stakeholders to translate complex challenges into More ❯
conducting critical technology solutions across multiple technical areas within various business functions in support of the firm's business objectives. Job responsibilities Use domainmodelling techniques to allow us to build best in class business products. Structure software so that it is easy to understand, test and evolve. More ❯
are segmented into multiple areas including: Platform Engineering - Teams within platform engineering provide cross-cutting capabilities that enable other teams to focus on domain- or business-specific needs by streamlining and standardizing technical approaches. For example, one of these teams provides data mapping tools, access management, and usage … tracking capabilities for development teams. Domain Engineering - Teams within domain engineering own critical capabilities that extend beyond a single desk or business area, building services and data solutions to optimize for … a broad array of use cases. For example, these teams work on problems like managing and enhancing DRW's instrument and organizational reference data models for seamless interoperability across the firm; handling real-time message flow and integrations with third-party trades and orders feeds; or providing trading desks More ❯
Implement, optimise, and scale RAG pipelines for effective information retrieval from structured and unstructured sources. Model Fine-Tuning & Training : Train domain-specific models using techniques like LoRA, QLoRA, PEFT, reinforcement learning, and supervised fine-tuning (SFT). Model Deployment & Inferencing : Optimise model serving and inference using vLLM … across the full ML lifecycle, from data collection and preprocessing to model evaluation, deployment, and monitoring. Full-Stack Integration : Develop APIs and integrate ML models into web applications using FastAPI, Flask, React, TypeScript, and Node.js. Vector Databases & Search : Implement embeddings and retrieval mechanisms using Pinecone, Weaviate, FAISS, Milvus, ChromaDB More ❯
City of London, London, Finsbury Square, United Kingdom
The Portfolio Group
Implement, optimise, and scale RAG pipelines for effective information retrieval from structured and unstructured sources. Model Fine-Tuning & Training : Train domain-specific models using techniques like LoRA, QLoRA, PEFT, reinforcement learning, and supervised fine-tuning (SFT). Model Deployment & Inferencing : Optimise model serving and inference using vLLM … across the full ML lifecycle, from data collection and preprocessing to model evaluation, deployment, and monitoring. Full-Stack Integration : Develop APIs and integrate ML models into web applications using FastAPI, Flask, React, TypeScript, and Node.js. Vector Databases & Search : Implement embeddings and retrieval mechanisms using Pinecone, Weaviate, FAISS, Milvus, ChromaDB More ❯
Data, API & Modular Design will help guide solutions for: distributed, domain-driven, event-driven and microservices data architectures; enterprise and canonical data models for data domains and events; mediating event, API and microservices communication; reusable common data and digital services (e.g. document management, OCR, NLP, search); and … Spark, Databricks) API & Microservices Message queues, streaming technologies, and event driven architecture NoSQL databases and query languages Data domain and event data models Data Modelling Logging and monitoring Container and Container Orchestration UX and UI Azure cloud platform environment Data access control and security Integration and Data More ❯
platform initiatives, providing solution architecture and technical leadership to drive continuous improvement. Your responsibilities will also include leading architectural best practices such as domain modeling and reviews to enhance team capabilities. We're looking for someone with strong communication skills, a passion for innovation, and the ability to … Strong Software Engineering and Architecture background. Solid understanding of cloud architectures and design patterns. ️ Familiarity with the AWS Well Architected framework. ️ Experience with domainmodelling best practices. ️ Great communication skills, comfortable presenting to technical and non-technical audiences. Stakeholder management and the ability to influence at all levels. More ❯
more hire to our growing team. You will be joining a high performing in-house Data Science team that specifically focusses on Marketing domain models. Working as one of our Senior Data Scientist at Saga, you will play a pivotal role in shaping our data strategy and driving … Senior Data Scientist will be fully accountable for the following areas; Advanced Analytics & Modelling: Design, develop, and implement advanced machine learning algorithms and statistical models to solve complex business problems. Drive the exploration and adoption of cutting-edge data science techniques and technologies. Insights and Reporting: Extract actionable insights … start to finish of every project. Data Strategy and Model Governance: Collaborate with cross-functional teams to execute the company's data strategy. Ensure models are fair, explainable and in compliance with relevant regulations and policies. Project Management Manage and deliver projects on time, to high standards. Agile ways More ❯
alignment with Faculty's long-term goals. Conduct and oversee the development of cutting-edge AI safety research, with a focus on large language models and other safety-critical AI systems. Publish high-impact research in leading conferences and journals (e.g., NeurIPS, ACL, ICML, ICLR, AAAI). Support Faculty … NLP conferences ACL/Neurips, ICML, ICLR, AAAI) or equivalent experience (e.g. within model providers labs). Deep domain knowledge in language models and AI safety, with the ability to contribute well-informed views about the differential value, and tractability, of different parts of the traditional AI More ❯
is how we do our business! What does the team do? Serving recommendations to 300 million users entails developing large scale personalization and recommendation models that not only understand user needs and preferences, but also help 100 million+ creators grow their audiences on our platforms. A subset of the … problems we tackle include: Create personalized feeds for 300+ million users via real-time candidate generators, multi-task prediction models, whole-page optimization, and in-session personalization. Nurturing our creator ecosystem, and developing models for strategic content valuation. Multi-objective balancing and long term measurement. We rely extensively … a world-class personalized user experience by driving innovations in feed ranking and content recommendation. Trust & Safety : Safeguard the platform using advanced multi-modal models and behavior modeling & network analysis Advertising Models : Ensure sustained revenue growth by building models that optimize advertiser satisfaction without compromising user experience. More ❯
