21 of 21 Intelligent Automation Jobs in the North West

journey. This is a broad leadership role combining strategy, people management and hands-on technical oversight across data engineering, business intelligence, data science, automation and AI. You will own the company data strategy and ensure that trusted, secure and well-engineered data supports decision-making across retail, ecommerce … finance, marketing, CRM, merchandising, operations and the wider business. You will also identify and deliver practical AI and automation opportunities that improve customer experience, colleague productivity and commercial performance. The successful candidate will be comfortable moving between strategic leadership and technical detail. They will be able to modernise ...

analysis. We're not fine-tuning existing models or optimizing yesterday's algorithms. We're architecting the next generation: sophisticated agentic AI systems, intelligent automation that thinks, and ML capabilities that will redefine how credit analysis happens and how global financial markets consume insights. This … boldly. We need ML technologists who see greenfield opportunities as fuel rather than fear—whether you're an ML architect ready to design intelligent systems from first principles, an AI engineering leader who translates research breakthroughs into production reality, or a seasoned practitioner who recognizes that this moment ...

trusted advisor to Life Sciences clients, helping them define and execute strategies that transform pharmaceutical Research & Development through data, AI, semantic technologies, and intelligent automation. Working with senior business and technology stakeholders, you will translate complex scientific, research, clinical, and data challenges into practical transformation roadmaps, operating models … technology strategies that deliver measurable business outcomes. You will help clients establish the foundations for intelligent R&D by combining trusted data, governance, semantic models, interoperability, advanced analytics, and AI-enabled decision support. Your focus will be on enabling connected, governed, and context-rich R&D data ecosystems ...

technology investment and simplification.* Work directly with senior engineers and product teams to solve complex delivery challenges.* Introduce and embed AI, analytics and intelligent automation in a controlled, enterprise‐grade way.* Lead architectural maturity, shape standards and uplift capability across the Investment Banking domain. Key Responsibilities … clear architectural judgement.* Hands‐on experience delivering architecture, solution design or engineering in complex, distributed environments.* Practical experience applying AI, advanced analytics or intelligent automation within enterprise platforms. Desirable Skills:* Experience modernising legacy Investment Banking platforms and simplifying fragmented technology estates.* Strong understanding of regulatory ...

based on business value, feasibility and user needs, applying modern data and AI technologies to develop solutions such as Generative AI, Agentic AI, intelligent automation and advanced analytics. Help measure and demonstrate the impact of data and AI solutions through adoption, performance and business outcome metrics … will help design solutions around the needs of users and the way organisations operate. Design and develop user-centric AI products, copilots, intelligent assistants and agentic workflows that meet user and business needs, working across cloud and data platforms including Azure, AWS and GCP. Understand ...

based on business value, feasibility and user needs, applying modern data and AI technologies to develop solutions such as Generative AI, Agentic AI, intelligent automation and advanced analytics.Help measure and demonstrate the impact of data and AI solutions through adoption, performance and business outcome metrics, supporting … Usable. You will help design solutions around the needs of users and the way organisations operate.Design and develop user-centric AI products, copilots, intelligent assistants and agentic workflows that meet user and business needs, working across cloud and data platforms including Azure, AWS and GCP.Understand ...

analytics, AI and data platform architectures that are commercially viable and technically deliverable. Provide architectural leadership across data platform modernisation, analytics, AI and automation initiatives. Ensure alignment with Microsoft Cloud Adoption Framework and Azure Well-Architected principles. Communicate architectural trade-offs and recommendations to both technical … Microsoft Fabric Lakehouse architecture patterns Power BI and self-service analytics Semantic modelling and reporting solutions Data platform modernisation and analytics strategy AI & Automation Agentic AI patterns and intelligent automation solutions Document intelligence and AI-driven business use cases SQL Python and/ ...

cloud expertise with microservices and cloud-native architecture AI curiosity and exploration mindset – Genuine interest in how AI/ML, generative AI, or intelligent automation could transform software delivery, business processes, systems and applications; experience experimenting with new technologies and evaluating practical applications; comfort with emerging … work every day—supporting smarter decision‐making, streamlining workflows, and enabling new ways to create value for our business and clients. Intelligent solutions are increasingly part of our day‐to‐day operations, helping teams work more efficiently and think differently as we continue to evolve. We’re looking ...

with an ethical and accurate lens. A Machine Learning & AI Engineerdesigning and deploying robust ML systems that bring data science to life through automation, CI/CD, and modern cloud engineering practices. Wherever you land, you’ll be working with some of the biggest datasets … applications. Cloud-native AI engineering and large-scale data platforms, leveraging Google Cloud technologies and modern coding practices to design, build and deploy intelligent solutions, helping the Bank innovate rapidly and deliver value at scale. Advanced analytics, statistical learning and decision intelligence, applying quantitative techniques to uncover patterns ...

Always with an ethical andaccuratelens. A Machine Learning & AI Engineer designing and deploying robust ML systems that bring data science to life through automation, CI/CD, and modern cloud engineering practices. Wherever you land,you’llbe working with some of the biggest datasets in the UK — using … doing Cloud-native AI engineering and large-scale data platforms , leveraging Google Cloud technologies and modern coding practices to design, build and deploy intelligent solutions, helping the Bank innovate rapidly and deliver value at scale. Advanced analytics, statistical learning and decision intelligence , applying quantitative techniques to uncover patterns ...

assistants (Windsurf, Claude Code) and Model Context Protocols (MCPs) to accelerate software delivery, automate repetitive tasks, and elevate engineering standardsDesign, build, and deploy intelligent, scalable solutions that integrate machine learning models, event streaming pipelines, and cloud-native services on Azure and AWSArchitect and implement data platforms using Snowflake … tools such as Windsurf, Claude Code, and Model Context Protocols (MCPs) to accelerate engineering deliveryStrong understanding of Engineering 2.0 principles – using AI and intelligent automation to fundamentally enhance how software is designed, built, tested, and deployedHands-on experience with machine learning concepts and the ability ...

developing investment strategies and scalable roadmaps that deliver measurable value.* We drive AI-enabled transformation, reimagining business models, products, and operations through intelligent automation, and determining where AI augments human work versus where autonomous agents deliver end-to-end processes.* We build and scale AI capabilities … governance, risk management, and ethical, compliant AI adoption.* We accelerate delivery and develop talent, leveraging AI to drive innovation (e.g. rapid prototyping and automation), while mentoring teams and collaborating with senior stakeholders to deliver end-to-end AI transformation programmes.As part of your role you will also have ...

performing technology solutions across the organisation. The role will also play an important part in the organisation’s cyber security strategy, infrastructure roadmap, automation initiatives and adoption of AI technologies. The post holder will develop dashboards, reporting and operational insights to support data-driven decision making and continual … performing technology solutions across the organisation. The role will also play an important part in the organisation’s cyber security strategy, infrastructure roadmap, automation initiatives and adoption of AI technologies. The post holder will develop dashboards, reporting and operational insights to support data-driven decision making and continual ...

Join Omnicell? At Omnicell, we’re transforming the future of medication management through intelligent automation, cloud‐native platforms, and innovative healthcare technology. Every service we build and every platform we operate ultimately contributes to improving patient safety, reducing clinician burden, and enabling better healthcare outcomes worldwide. … engineered into every service throughout its lifecycle. Working alongside the Director of Site Reliability Operations, this leader will define the engineering standards, automation, observability, production readiness, and resilience capabilities that enable world‐class operational performance. While Site Reliability Operations owns the day‐to‐day operation of production services ...

streamline operations and improve business performance. This is an exciting opportunity to work at the forefront of applied AI, helping the company embed intelligent automation and data‐driven decision‐making across its functions. Key Responsibilities Design, build, and deploy AI‐driven solutions to enhance business processes. … development of scalable prototypes and production‐ready solutions. Ideal Candidate Hands‐on experience with AI/ML tools (e.g. NLP, predictive modelling, process automation). Familiarity with cloud platforms (AWS, Azure, or GCP). Strong problem‐solving and collaboration skills. Ability to communicate technical concepts clearly ...

engineering data and the wider enterprise architecture.* Define and lead AI-enabled engineering strategies, including generative AI, engineering copilots, machine learning and intelligent automation, integrating them with digital thread, digital twin, simulation and software-defined product approaches to deliver measurable value.* Shape responsible AI operating models … outcomes. • Experience identifying, assessing and scaling high-value AI use cases across the engineering lifecycle, including generative AI, engineering copilots, machine learning and intelligent automation. • Strong understanding of AI and data foundations, including data quality, knowledge architectures, platform integration, responsible AI governance, privacy, security, model risk and human ...

There's still a significant amount to build, and the longer‐term direction extends beyond traditional data engineering into AI, Generative AI and intelligent automation. It's a good opportunity for somebody who wants to remain deeply technical and hands‐on, but wants more influence over ...

line management. Youll modernise the organisations data capabilities, introduce scalable batch and real-time processing, and eliminate manual or fragile processes through intelligent automation. Youll lead a small team of Data Engineers while remaining closely involved in architecture, technology selection and engineering delivery. What youll be doing ...

teams Excellent stakeholder management, communication and influencing skills Understanding of APIs, integrations and service-based architectures Experience using AI-powered capabilities, recommendations or intelligent automation A customer-focused mindset with a passion for delivering measurable outcomes Standout experience: Travel, hospitality, property technology, ecommerce or fintech experience ...

platforms? In this hands-on technical leadership role, you will sit at the intersection of security operations, agent engineering, AI platform security and intelligent automation. You will operate the AI security control plane, harden agentic systems across their lifecycle, and establish monitoring and response that makes agent behavior … safe pause, tool and credential revocation, network isolation, rollback, kill-switch activation, evidence preservation and escalation. AI for Cyber and Cyber for AI Automation: Lead the portfolio that uses agents to improve assessment, threat modeling, detection engineering, vulnerability analysis, incident response and reporting; embed security checks, risk scoring ...

work with stakeholders and technical teams, and help embed AI into business processes with governance and reliability in mind. You will contribute to intelligent automation, data platforms and analytics initiatives, collaborating in an agile, iterative environment focused on real business outcomes. #J-18808-Ljbffr ...