26 to 50 of 178 Remote/Hybrid Use Case Jobs

Will Do Guidehouse is seeking a Data Architect to design, implement, and govern enterprise data architectures that support analytics, reporting, and AI use cases. This role provides architectural leadership across data modeling, data engineering, and data governance, and works closely with cloud architects, engineers, and business stakeholders. Responsibilities ...

consumer focused organisations * Experience delivering data transformation programmes, including self service analytics and reporting improvements * Background in customer analytics, loyalty, or pricing related use cases * Strong stakeholder management skills, with experience influencing senior leadership * Solid technical grounding in data science and analytics, with the credibility to guide teams ...

functions. This is a hands-on engineering role focused on building and enhancing a data governance platform that underpins advanced analytics and AI use cases across the business. The Role You'll be part of a globally distributed engineering team responsible for delivering a centralised data platform used ...

production Optimise model performance, cost, and latency in real-world environments Collaborate across engineering, product, and data teams to identify high-impact AI use cases What Were Looking For 5+ years in software engineering, with strong experience in Python and/or Java Hands-on experience working with ...

including wrapping in-house and third-party tools. Contribute to cloud-based and distributed solutions (AWS/Azure), following modern DevOps practices. Support use cases including complex component design, materials optimisation, additive manufacturing, and production monitoring. Work within agile processes, contributing to requirements, testing, and iterative delivery. Essential ...

Inspire innovative thinking across client teams through persuasive narratives and structured insight. AI & Technology-Enabled Transformation Identify, prioritise, and shape AI and data use cases aligned to commercial outcomes. Translate business needs into structured requirements and collaborate closely with product and data science teams. Lead the deployment ...

incident engineering. Participation in a 24x7 on-call support rota, responding to SIEM health alerts and restoring log ingestion where required. Manage use cases, perform data enrichment, and define standardized and automated containment workflows. Develop and manage operational procedures and reporting methodology. Manage and oversee security technology platforms ...

Engineering (MBE) & Digital Twins - Applications of industry MBE Tools for system modeling, requirements development, design, and evaluation. Program-level analysis to identify business use-cases where MBE approached may add efficiencies. Development of digital twins in mixed-fidelity demonstration & test environments. Space Systems - Design, Operations, or Deployment ...

understanding of vulnerability lifecycle governance, SLA management, and risk acceptance processes Data & AI Enablement: Experience preparing and structuring datasets for analytics and AI use cases. Familiarity with data normalization, enrichment, and aggregation across security tools Automation & Integration: Proficiency with automation (e.g., PowerShell, Python) and integration with platforms such ...

other Cloud providers. Experience with infrastructure as code (Terraform, CloudFormation). Replication setup and configuration to optimally support replication and migration use cases. Understanding of and experience with Linux operating systems, network, and containers. Comfortable being a go-to resource for all database-related issues raised ...

WHAT YOU WILL DO Strategy & Program Design • Own the end-to-end automation program across Customer Service, HR, and Payroll - from use case discovery and prioritization through delivery, adoption, and continuous improvement. • Lead automation discovery workshops with business stakeholders (HR Directors, CS Ops leads, Payroll Managers … identify automation candidates, size effort, and define success metrics. • Define and maintain an automation backlog and roadmap: prioritize use cases based on ROI, complexity, data readiness, and system integration feasibility. • Establish flow design standards, naming conventions, error handling patterns, and governance frameworks that all team members follow consistently. ...

LoRA/QLoRA, and optimisation approaches Selecting and evaluating base models (e.g. Mistral, Qwen, Phi, Falcon) based on performance, cost, and use case Defining evaluation frameworks and standards to ensure models meet production-grade quality and reliability Building and scaling a suite of fine-tuned models … support multiple product use cases Owning experiment design and reproducibility, including tracking, benchmarking, and iteration cycles Working closely with data, domain and product teams to translate real-world requirements into model behaviour Leading, mentoring, and growing a team of ML Engineers while remaining hands-on technically Driving models ...

LoRA/QLoRA, and optimisation approaches Selecting and evaluating base models (e.g. Mistral, Qwen, Phi, Falcon) based on performance, cost, and use case Defining evaluation frameworks and standards to ensure models meet production-grade quality and reliability Building and scaling a suite of fine-tuned models … support multiple product use cases Owning experiment design and reproducibility, including tracking, benchmarking, and iteration cycles Working closely with data, domain and product teams to translate real-world requirements into model behaviour Leading, mentoring, and growing a team of ML Engineers while remaining hands-on technically Driving models ...

powered data platforms. This role combines modern data engineering, LLM/AI integration, and financial domain expertise to deliver enterprise-grade solutions across use cases such as: Risk analytics & fraud detection Regulatory compliance automation Document intelligence (KYC, contracts, trade docs) Customer insights & conversational AI You will work … from each other every day, sharing knowledge, and always pushing yourself to do better, you’ll build the skills you want. You’ll use your skills to help our clients leverage technology to innovate and grow their business. So, it might not always be easy, but making ...

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 … 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 ...

production Optimise model performance, cost, and latency in real-world environments Collaborate across engineering, product, and data teams to identify high-impact AI use cases What Were Looking For 5+ years in software engineering, with strong experience in Python and/or Java Hands-on experience working with ...

product lifecycle from discovery through launch and optimisation • Working closely with engineering, data science and commercial teams • Engaging directly with customers to validate use cases and product direction • Helping shape APIs, integrations and platform capabilities • Supporting go-to-market initiatives alongside sales and marketing • Using analytics, customer insight ...

production Optimise model performance, cost, and latency in real-world environments Collaborate across engineering, product, and data teams to identify high-impact AI use cases What We’re Looking For 5+ years in software engineering, with strong experience in Python and/or Java Hands-on experience working ...

practices to ensure reproducibility and continuous improvement Own data modelling, master data management, and aggregation layers to support reporting, analytics, and ML use cases Skills and Experience: Proven experience building and running production data platforms on AWS end-to-end, ideally in a multi-site business environment Strong ...

using Delta Lake and Azure services Define data standards, policies, and governance practices aligned with compliance Enable real-time analytics and machine learning use cases across business functions Ensure data integration across structured/unstructured sources with high availability Lead innovation and adopt best practices in data engineering ...

security incidents, identifying root causes and recommending remediation actions Provide technical and procedural guidance to junior SOC analysts Develop and enhance detection use cases, correlation rules, and playbooks within SIEM and EDR platforms Conduct proactive threat hunting activities across client environments Collaborate with engineering teams to improve visibility ...

testing tasks and report findings back LLM-powered reporting and consultant support tools AI modules for external, web, cloud, and later internal testing use cases Statistical analysis and machine learning models for wider business applications over time Reusable AI services that can eventually support multiple products and business ...

leadership This role sits within a balanced team of traditional ML and GenAI specialists, with exposure to both classic modelling and modern AI use cases. Your Skills and Experience Strong Data Science fundamentals and experience delivering classical machine learning models in production Hands on experience with LLMs, agentic ...

value, highest-potential prospects. Provide targeted 1-to-few enablement to NCA and Account Management including discovery coaching, value articulation workshops, use-case analysis and technical buyer engagement strategies. Coach colleagues on Data & AI discovery, solution shaping and technical messaging, sharing best practice, real-world learnings … buyer insights into Corndels Data & AI proposition, strengthening relevance, credibility and competitive differentiation. Partner with Marketing and Impact teams to refine Data & AI collateral, case studies, narratives and value frameworks used across the commercial organisation. Responsibilities include: As a Data & AI Solutions Consultant, you will: Lead senior discovery ...

assisted insight Comfort with ambiguity, and a bias for commercial impact over technical perfection Microsoft ecosystem fluency (Power Platform, Azure AI) and ML use cases — forecasting, pipeline-to-flow modelling, opportunity scoring — will set you apart. The firm offers hybrid working, strong benefits, and clear development pathways. ...