1 to 25 of 79 Remote/Hybrid Use Case Jobs in London

engineering best practices. Monitor AI model performance, optimize response quality, and proactively resolve bottlenecks or operational issues. Collaborate with business stakeholders to identify use cases, define solution architectures, and deliver high-value AI outcomes. Produce architectural documentation, solution diagrams, and knowledge-base content for ongoing support. Stay updated ...

determine trade-offs between different potential feature implementations Prototyping advanced machine learning and optimization models to prove the value of a use case and approach (in Python) Delivering features to industrialize machine learning and optimization models in Python using best-practice software principles (e.g., strict typing, classes … nice to have Experience in code testing (unit, integration, end-to-end tests) Strong data engineering skills in SQL and Python Proficient in use of Microsoft Office, including advanced Excel and PowerPoint Skills Advanced analytical skills, including the ability to apply a range of data science and analytic ...

Lean Analytics methodologies Natural Language Processing (NLP) Implementation: Manage technical programs deploying NLP-driven solutions for customer intelligence, content processing, or automation use cases; coordinate linguistics, ML engineering, and product teams; drive quality gates and performance benchmarking Advanced Release & Dependency Management Program Increment (PI) Planning at Scale: Design ...

Investment Intelligence Reimagine investment workflows through AI-native design. Partner directly with analysts, portfolio managers, and investment leadership to shape high-impact AI use cases. Translate complex investment processes into intelligent, scalable agentic solutions. Help modernize the investment platform through close collaboration across investment, data science, and technology ...

surfaces Credit spread curves Discount curves and other risk-related observables Maintain scalable and well-governed data structures optimised for analytical and regulatory use cases. Infrastructure & Platform Development Build solutions to deliver market data to pricing engines with high reliability and performance. Develop and maintain Python-based ...

secure, governed, and scalable business solutions. Enforce data-handling policies in code, utilising prompt redaction middleware, retrieval allow-lists, and per-use-case policies. Add evaluation gates for answer quality and safety in pipelines, implement canary deployments with feature flags, and automate rollbacks on drift. Manage … with regression alerts. Develop APIs and microservices to integrate AI with internal and external applications. Partner with business stakeholders to identify and validate use cases. Essential Skills At least 6-10 years of hands-on development and architectural experience. Proficiency in Python, PyTorch, TensorFlow, or similar frameworks. experience ...

data products, including customer and growth models, recommendation systems, gradient boosting & ensemble methods, NLP/text analytics, time-series forecasting, & generative AI use cases Monitor model performance and design experiments tied to clear hypotheses Translate ambiguous business questions into measurable, actionable solutions Coach and mentor junior data scientists ...

technology change across Agile and/or Waterfall environments Understanding of data, systems integration and SDLC best practice Awareness of AI/automation use cases within financial services preferred SQL and general systems knowledge beneficial Why This Role High-impact role within a front-office aligned technology function ...

including ingestion, transformation, and analytics layers Work closely with senior architects and engineers, gaining hands-on experience with Databricks, Snowflake, and emerging GenAI use cases Balance architectural thinking with hands-on delivery in real-world client environments What you’ll be doing Supporting the design of scalable, secure ...

pipelines using Matillion to ingest data from multiple sources into Snowflake Develop and optimize data models in Snowflake for analytics and reporting use cases Ensure data quality, reliability, and performance across pipelines and warehouse workloads Collaborate with analytics engineers, data analysts, and stakeholders to understand data requirements Implement ...

industry experience is preferred. Responsibilities Regular travel to work hands-on with technical leads across squads Assessing the feasibility of new AI initiatives, use cases, and adoption of existing propositions, and identifying low-cost, quick-start technical approaches to support left-shifted value Operating a structured and data ...

excellence. Data Architecture Specialist: Design and develop robust data models, ETL/ELT processes, and data marts that support complex analytics and operational use cases. Pipeline Optimization: Maintain and optimize data pipelines and warehouse environments to ensure top-tier performance, reliability, and scalability. Cross-Functional Collaboration: Effectively collaborate ...

delivery teams across data engineering, analytics, and AI Drive data governance, data operating model, and data capability programmes Champion AI and advanced analytics use cases from concept through production Partner with account and commercial teams to grow existing clients and open new opportunities Contribute to thought leadership ...

underpin modern AI and LLM-based applications. Key Responsibilities Design and develop data-driven applications and services that support analytics, ML, and LLM use cases Build and orchestrate data workflows and LLM pipelines using LangChain and/or LangGraph Develop scalable data processing and backend services using Python ...

requirements for applied AI (GenAI/LLMs, ML, automation). You’ll partner with the AI Product Lead, Data and Engineering to shape use cases, define functional + data requirements, and ensure delivery is feasible, data-ready and measurable . This is not a workshop-only BA role ...

experience as a Data Engineer working with Snowflake in a production environment.* Hands-on experience with SQL and Python.* Exposure to Generative AI use cases, AI pipelines, or AI-enabled data platforms.* Experience with cloud data platforms and modern ELT/DataOps tooling.* Solid understanding of data modelling ...

processing platforms (e.g., Informatica, Azure Databricks) and advanced SQL. Strong understanding of distributed data stores, frameworks, and data modelling for analytical and operational use cases. Ability to communicate complex technical designs clearly, both written and verbally. Proven track record in consulting or public sector projects. Interest in emerging ...

Translate ambiguous client problems into clear, feasible engineering approaches Assess client data, platforms, security constraints and operating models Contribute to framing, use-case shaping and technical scoping discussions Work directly with client domain experts to surface edge cases and operational realities Produce clear, lightweight technical artefacts ...

business processes, including BPMN 2.0. Expertise in analysing, communicating and documenting business and solution requirements using different BA techniques (i.e process models, wireframes, use cases, data models). Experience producing high-quality outputs from high-level concepts to detailed specifications, including functional and technical artefacts. Excellent stakeholder management ...

ground running and operate autonomously within a squad-based delivery model. Key Responsibilities Design and execute experimentation frameworks focused on logistics and operational use cases Lead A/B testing and controlled experiments to evaluate promotional and operational changes Ensure analytical robustness through sense-checking data, assumptions ...

deployment brings new challenges and learning Close collaboration with product, engineering, and senior customer stakeholders Strong exposure to enterprise-scale data and AI use cases Competitive salary, meaningful equity, and clear progression opportunities Hybrid working, modern London office, and a mission-driven culture ...

core responsibility remains data engineering at scale. The RoleYou will be responsible for designing, building and maintaining data pipelines that support machine learning use cases. The project is particularly heavy on PyTorch for data loading and dataset management, and you will be working with large volumes of files ...

stakeholders, lead workshops, gather requirements, define the scope of work and manage the project plan,. You will also get the opportunity to use your hands-on data skills, whether that be in coding, assisting with data migrations or integration.This is a varied and interesting role where which … will have experience in helped to create data strategies and will be highly familiar with data maturity assessments, data vision generation, use case & value mapping and data literacy.In terms of technical skills, you will bring some exposure or experience in designing, building and configuring ...

technology focus. Key Responsibilities Identify and analyse business and technical requirements to support change initiatives. Produce clear documentation to align key stakeholders Use suitable process-mapping techniques to support analysis of requirements and present current and future states Contribute to the design and delivery of technology-driven change … across a common range of business functions (e.g. CRM/Finance/HR/Website) using specialist techniques (e.g. user stories, use case diagrams, data flows) Participating in technology change initiatives for CRM systems, including CRM replacements Expertise in process mapping techniques, e.g. BPMN/UML/ ...

technology focus. Key Responsibilities Identify and analyse business and technical requirements to support change initiatives. Produce clear documentation to align key stakeholders Use suitable process-mapping techniques to support analysis of requirements and present current and future states Contribute to the design and delivery of technology-driven change … across a common range of business functions (e.g. CRM/Finance/HR/Website) using specialist techniques (e.g. user stories, use case diagrams, data flows) Participating in technology change initiatives for CRM systems, including CRM replacements Expertise in process mapping techniques, e.g. BPMN/UML/ ...