101 to 125 of 440 Permanent Use Case Jobs

building data and ML pipelines. Hands-on experience with Databricks and Azure. Practical experience with NLP and LLMs, including fine-tuning and applied use cases. Solid understanding of MLOps, CI/CD for ML, and production model monitoring. Exeperience with stakeholders and translating business problems into technical solutions. ...

building data and ML pipelines. Hands-on experience with Databricks and Azure. Practical experience with NLP and LLMs, including fine-tuning and applied use cases. Solid understanding of MLOps, CI/CD for ML, and production model monitoring. Exeperience with stakeholders and translating business problems into technical solutions. ...

building data and ML pipelines. Hands-on experience with Databricks and Azure. Practical experience with NLP and LLMs, including fine-tuning and applied use cases. Solid understanding of MLOps, CI/CD for ML, and production model monitoring. Exeperience with stakeholders and translating business problems into technical solutions. ...

building data and ML pipelines. Hands-on experience with Databricks and Azure. Practical experience with NLP and LLMs, including fine-tuning and applied use cases. Solid understanding of MLOps, CI/CD for ML, and production model monitoring. Exeperience with stakeholders and translating business problems into technical solutions. ...

building data and ML pipelines. Hands-on experience with Databricks and Azure. Practical experience with NLP and LLMs, including fine-tuning and applied use cases. Solid understanding of MLOps, CI/CD for ML, and production model monitoring. Exeperience with stakeholders and translating business problems into technical solutions. ...

building data and ML pipelines. Hands-on experience with Databricks and Azure. Practical experience with NLP and LLMs, including fine-tuning and applied use cases. Solid understanding of MLOps, CI/CD for ML, and production model monitoring. Exeperience with stakeholders and translating business problems into technical solutions. ...

opportunity to work across reinforcement learning, simulation, federated learning and next-generation AI systems, helping shape technology that extends far beyond a single use case. For the right person, this is a chance to join at a pivotal moment. The team is growing, the roadmap is ambitious ...

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 ...

partners - ensuring the platform is production-grade, built for household-scale throughput, and designed for long-term extensibility across new signal sources and use cases. Lead the build of the platform's cloud-native data and application infrastructure - including ingestion and transformation pipelines, ML/AI compute environments ...

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 ...

Engineer - Job Description Position SummaryOur client's AI & Data function focuses on helping organisations solve complex business challenges through the effective use of data, artificial intelligence, and modern technology platforms.The team delivers end-to-end, business-driven solutions that integrate data, technology, and processes across organisations and their … technical outcomes Key ResponsibilitiesData Engineering & Development Design, build, and maintain scalable data pipelines, datasets, and data models Support analytics, reporting, and AI-driven use cases Work with both structured and unstructured data sources AI & Machine Learning Develop and deploy machine learning models for: Prediction Classification Automation Insight generation ...

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 ...

where value is being lost, modelling what recovery is worth, and demonstrating with evidence what Complexio has actually delivered. Key Responsibilities Value Discovery & Business Case Development Lead structured value discovery engagements with prospective customers - working with operational, financial, and technology stakeholders to identify and quantify the cost of their … platform capabilities, identifying the specific processes, hand-offs, and inefficiencies where the EKG, Context Broker, Enterprise Automator, and Stevie create measurable impact Translate business case outputs into executive-ready materials - CFO-grade financial models, board-level summaries, and ROI one-pagers that withstand scrutiny from finance and procurement stakeholders ...

diverse project portfolio What You’ll Do: Develop and deploy advanced analytics, data science, and machine learning solutions across a variety of use cases Use technologies such as Python, R, Azure, Databricks, SQL, Power BI, and Tableau to extract actionable insights from complex datasets Contribute ...

headcount ahead of need. What we expect you to have done before: • Shipped agentic systems in production. Multi-step LLM systems with tool use, sub-agent orchestration, persistent memory, and human-in-the-loop steps. You can describe specific failure modes and how you instrumented your … early conversations. Process Initial CEO conversation → technical deep-dive on agentic systems and evaluation → architecture working session on a Pyxos use case → references → offer. Three weeks, first conversation to decision. Pyxos is an equal opportunity employer. We hire on the basis of capability, judgment, and fit with ...

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 ...

across complex data ecosystems. As a Senior Manager in this major Management Consultancy, this role: Leads full-lifecycle Quantexa solutions, from use-case design through to production deployment Acts as the technical authority and client interface, translating regulatory or business problems into scalable Quantexa architectures Leads teams … communication skills - capable of interfacing with both business and technical audiences. The work is heavily weighted toward Financial Services, Fraud, AML, and KYC use cases, with real emphasis on contextual decision intelligence at scale, rather than PoCs. This is an excellent opportunity to develop your career in Data ...

ecosystems. As a Senior Quantexa Data Engineer in this major Management Consultancy, this role: Leads full-life cycle Quantexa solutions, from use-case design through to production deployment Assists the Technical Lead as the technical authority and client interface, translating regulatory or business problems into scalable Quantexa … communication skills - capable of interfacing with both business and technical audiences. The work is heavily weighted toward Financial Services, Fraud, AML, and KYC use cases, with real emphasis on contextual decision intelligence at scale, rather than PoCs. This is an excellent opportunity to develop your career in Data ...

processes and identify areas for improvement. Work closely with development and QA teams to ensure requirements are clearly understood. Prepare process flow diagrams, use cases, and functional specifications. Perform gap analysis and recommend business solutions. Support UAT (User Acceptance Testing) and ensure successful project delivery. Collaborate with project ...

demonstrate AI solutions, working closely with sales, product and engineering teams. Key Responsibilities Design and deliver AI/GenAI solutions aligned to customer use cases Build and showcase POCs, demos and technical presentations Work with LLMs, LangChain, OpenAI APIs and AI agents Support solution architecture, APIs, integrations ...

such as Tableau, Alterx, Microstrategy 5+ years of software engineering experience Skills Ability to read, write, speak, and understand English Extensive experience building use cases and supporting data scientists and engineers Extensive experience with data lake - all data sources - building out data sets for uses cases Expertise ...

data pipelines and infrastructure to support analytics and AI initiatives Develop, train, and deploy machine learning and AI models for predictive and prescriptive use cases Analyze large, complex datasets to extract insights and communicate findings to stakeholders Collaborate with cross-functional teams to identify opportunities for AI-driven ...