1 to 25 of 88 Remote/Hybrid Use Case Jobs in London

programme — the bridge between the technical AI function and the teams that use and build AI. You lead AI use-case intake and triage, assess proposals against security and architecture requirements, and route feasible cases into the Cyber Architecture and Solutions delivery pipeline. About … business and R&D teams building with AI, and the job is translation in both directions. You will triage use-case proposals against AI architecture standards, classify them for EU AI Act exposure, and route the feasible ones into delivery — while telling senior scientists and business leaders ...

interfaces needed to make successful solutions reliable. Use shared entity and identifier services as they mature. When a use case exposes a genuine linking problem, work with the teams that own entity resolution to define requirements and test an appropriately simple solution. Establish reusable modeling … question, using real data and a model validated with domain experts and prospective users. A test of at least one adjacent use case, such as graph-derived features for a model or connected research for source-backed AI, measured against a simpler approach. Reusable patterns, working examples ...

relevant data ingestion. Parse and analyse custom log formats to extract relevant information for SIEM Troubleshoot log ingestion issues Threat Detection & Use Case Development: Develop, test, and deploy advanced threat detection use cases, and common infrastructure attack patterns. Translate threat intelligence and vulnerability insights into … Alto, FortiGate, switches, Firewalls, remote access solutions, and VPNs. In-depth experience with SIEM tools with a strategic oversight on appropriate use case methodologies. Implementation of robust security monitoring use cases and Threat hunting capabilities. Relevant industry certifications (e.g. ...

United Kingdom, London, London Staff Software Engineer - Machine Learning About this role We're on a mission to transform the way we use data and AI to service our customers and drive efficiency across the business. Do you love shaping the technical landscape and driving innovation across … monitoring, and deployment pipelines Collaborate with enterprise platform and data science teams, contributing to platform capabilities where appropriate and partnering on use case delivery Build and maintain strong relationships with key stakeholders, including senior leadership, product owners, data science teams, and enterprise platform partners Represent Capital ...

room for key conversations, providing honest advice, managing expectations and helping clients make good decisions about where and how to use AI.What your day to day might look likeGetting to the heart of the problemMeeting with stakeholders who may not be clear on what they really needUsing discovery … whether a GenAI solution is useful and cost effectiveFine tuning and optimising models so they perform well for the use case and budgetDesigning agentic workflows where they genuinely improve outcomes rather than add complexityHelping clients understand what GenAI can and cannot do in practiceKeeping it runningYou will ...

machine learning and AI solutions, from discovery through to production deployment and ongoing optimisation Partner with business stakeholders to identify opportunities, define use cases, and prioritise work based on commercial value Design, develop, and deploy scalable machine learning, predictive analytics, and AI applications Drive technical best practices across ...

robust ETL/ELT pipelines using SQL, Python and Snowflake-native technologies Creating trusted, AI-ready data products for analytics and machine learning use cases Supporting cloud migration and data modernisation programmes Working with Snowpark, Snowpipe, Streams, Tasks and Dynamic Tables Optimising Snowflake performance, scalability and cost efficiency ...

solutions with strong testing, monitoring, and documentation standards. Partner with Data Scientists and Machine Learning Engineers to optimise datasets for AI and analytics use cases. Apply automation and AI-driven techniques to improve data onboarding, anomaly detection, and operational efficiency. Essential Skills & Experience Python development experience within ...

Develop and maintain ETL processes using SQL, Python and Snowflake technologies. Design robust data models to support reporting, analytics, machine learning and AI use cases. Lead client workshops and stakeholder discussions to understand business and technical requirements. Implement data governance, security, access controls and data quality best practices. ...

native engineering patterns Proven experience implementing data governance, quality management and observability frameworks Ability to manage complex data pipelines for batch and streaming use cases in mission-critical environments Strong communication and leadership skills to work with distributed teams and senior stakeholders Nice to have Knowledge of Delta ...

Microsoft Fabric solutions across Lakehouse, Warehouse, Real-Time Intelligence, Semantic Models and Governance Define enterprise data architectures that support analytics, reporting and AI use cases Lead data modelling activities across conceptual, logical and physical layers Shape and guide delivery teams through complex data transformation programmes Partner with senior ...

robust, large-scale enterprise data engineering. Working closely with commercial stakeholders, cross-functional squads, and technical leadership, you will translate high-value operational use cases into reliable, production-grade AI pipelines, intelligent agentic workflows, and governed data platforms. Key Responsibilities Agentic AI & Prototype Delivery: Architect, build, and deploy ...

teams to build them . Candidates strong in either direction are equally welcome. What You'll Be Doing Translate documented AI/automation use cases into technical designs, prototypes, or working solutions Build or advise on ETL/ELT pipelines preparing diverse datasets for AI consumption Implement ...

some of the following: Set the three-year plan that moves CSO security services from rule-based to agent-operated, and defend the investment case for it to the CISO and GSK Tech leadership. Own the architecture, engineering and secure delivery of the agentic framework transforming security services across … carries real-world consequence. Experience in pharmaceutical, life sciences or another highly regulated industry. Enterprise AI programme and business partnering on use-case intake, feasibility and risk-based prioritisation Building and retaining scarce AI engineering and AI security capability, including scaling a technical team Ready to apply ...

/ELT data pipelines Develop and optimise data integration and ingestion frameworks Model data structures, flows and architectures to support analytics and operational use cases Implement data storage solutions across cloud and on-prem environments Apply DataOps/software engineering best practices for deployment and reliability Ensure strong ...

deployment of AI, Machine Learning and Generative AI solutions. Partnering closely with business and technology stakeholders, you'll identify high-value AI use cases, rapidly prototype new solutions and take successful ideas through to production. You'll work with emerging technologies, including Large Language Models (LLMs), AI agents ...

patterns. * Build and optimise data pipelines across multiple source systems and platforms. * Design and implement data models for analytics, reporting and operational use cases. * Own CI/CD, automation and engineering best practice within the data platform. * Implement data governance, quality controls, monitoring and operational processes. * Mentor engineers ...

patterns. * Build and optimise data pipelines across multiple source systems and platforms. * Design and implement data models for analytics, reporting and operational use cases. * Own CI/CD, automation and engineering best practice within the data platform. * Implement data governance, quality controls, monitoring and operational processes. * Mentor engineers ...

pipeline performance issues across services such as SQS, S3, and Splunk. Develop and enhance SIEM detection logic and support the tuning of use cases to improve alert quality. Work closely with SOC analysts to improve detection coverage and reduce false positives. Help implement secure data handling practices, including ...

pipeline performance issues across services such as SQS, S3, and Splunk. Develop and enhance SIEM detection logic and support the tuning of use cases to improve alert quality. Work closely with SOC analysts to improve detection coverage and reduce false positives. Help implement secure data handling practices, including ...

cloud computing platforms like AWS, Azure or Google Cloud alongside secure, resilient architecture design principlesBackground in identifying and implementing AI or GenAI use cases across customer journeys, operations or business workflowsWe offerEPAM Employee Stock Purchase Plan (ESPP)Protection benefits including life assurance, income protection and critical illness cover ...

practical engineers who want to apply their AI expertise to this challenge. ResponsibilitiesLLM Configuration: Configure, evaluate and tune large language models for security use cases, including prompt engineering, system prompt design, retrieval-augmented generation (RAG) and tool/function calling. Agent Development: Design, build and maintain AI agents ...

with D365 CRM, with a focus on delivering a joined-up, intuitive user experience. Expert-level requirements elicitation and documentation skills: user stories, use cases, BRDs, FRDs, and data dictionaries written to a standard that development and test teams can act on without further clarification. Strong process modelling ...

Build and maintain ETL/ELT processes using SQL and Python. Create and enhance data models to support reporting, analytics and advanced data use cases. Develop efficient, reliable and reusable data solutions to support business requirements. Support the migration and integration of data from a range of source ...

deployment of Data, AI, Machine Learning and Generative AI solutions. Partnering closely with business and technology stakeholders, you'll identify high-value AI use cases, rapidly prototype new solutions and take successful ideas through to production. You'll also play an important role in shaping the AI technical ...