2,551 to 2,575 of 9,989 AI Jobs

About the Role We are seeking a Senior Full-Stack AI Engineer with a strong backend foundation (70%) and frontend expertise (30%) to design, build, and scale AI-driven applications. You’ll work on next-generation AI solutions leveraging OpenAI, Azure OpenAI, Claude (Anthropic) , LangChain , LangGraph , and MCP (Model Context Protocol) to orchestrate intelligent agent workflows, implement RAG (Retrieval Augmented … Generation) pipelines, and integrate with vector databases and voice processing systems. This role is ideal for engineers passionate about AI orchestration , intelligent agents , and full-stack innovation . Key Responsibilities Design, develop, and maintain backend services using TypeScript (Node.js) and C# (.NET Core) . Implement intelligent AI pipelines using LangChain , LangGraph , MCP , and RAG frameworks. Integrate and optimize LLM APIs … OpenAI, Azure OpenAI, Claude, etc.) for production-grade use cases. Work with PostgreSQL Vector databases for embedding storage and similarity search. Develop modular and responsive React frontends for AI-driven user experiences. Implement AI agent orchestration for multi-agent workflows and context sharing. Collaborate with data scientists and ML engineers to integrate models and improve accuracy/performance. Use Librosa More ❯

Senior Machine Learning Engineer Outside IR35 - £500/day Greenfield We are working with an established global organisation on a mission to deliver next-generation AI capabilities at scale. We’re hiring an experienced, hands-on Machine Learning Engineer to architect and deliver production-grade AI system — with a strong focus on MCP, RAG, and real-world deployment . This … project is a green field build out of AI capabilities. We are starting with RAG use cases as a low bar, but are targeting a rich agentic implementation in the near term. Whoever joins us has an opportunity to work on the foundational architectural definition and implementation. What you’ll do Report directly to the VP of Engineering Architect, build … and ship advanced AI/ML & Generative AI solutions — scalable, secure, production-ready Design data ingestion pipelines, integrate vector databases and retrieval-augmented systems Ship models via APIs, containers, or cloud-native services Own engineering excellence — Git, CI/CD, automated ML testing, IaC Influence technical direction and mentor other engineers Work cross-functionally to translate AI strategy into measurable More ❯

Senior Machine Learning Engineer Outside IR35 - £500/day Greenfield We are working with an established global organisation on a mission to deliver next-generation AI capabilities at scale. We’re hiring an experienced, hands-on Machine Learning Engineer to architect and deliver production-grade AI system — with a strong focus on MCP, RAG, and real-world deployment . This … project is a green field build out of AI capabilities. We are starting with RAG use cases as a low bar, but are targeting a rich agentic implementation in the near term. Whoever joins us has an opportunity to work on the foundational architectural definition and implementation. What you’ll do Report directly to the VP of Engineering Architect, build … and ship advanced AI/ML & Generative AI solutions — scalable, secure, production-ready Design data ingestion pipelines, integrate vector databases and retrieval-augmented systems Ship models via APIs, containers, or cloud-native services Own engineering excellence — Git, CI/CD, automated ML testing, IaC Influence technical direction and mentor other engineers Work cross-functionally to translate AI strategy into measurable More ❯

THE COMPANY This organisation is pushing the boundaries of AI and data-driven software, developing next-generation tools that integrate advanced machine learning with scalable backend systems. They're looking for an experienced Python Backend Engineer to support the build and integration of key AI components across their tech stack. THE ROLE As a Contract Python Backend Engineer , you'll … take ownership of backend development for a Python-based web application, ensuring smooth integration with AI/ML pipelines and data infrastructure. You'll work closely with data engineers, AI specialists, and frontend developers to deliver robust, production-quality software. Key Responsibilities: Build and maintain Python web applications (FastAPI preferred) Integrate AI/ML components with backend, data, and compute … Degree in a computational, numerate, or life sciences discipline (or equivalent experience) Preferred: Docker and containerized application experience Experience in scientific or pharmaceutical domains (e.g. genomics, proteomics) Familiarity with AI/ML-powered applications and agent-based frameworks (LangGraph, PydanticAI, AutoGen) Knowledge of AI/ML evaluation and iterative model improvement Exposure to frontend technologies (React desirable) THE BENEFITS Competitive More ❯

GCP DevOps Engineer – AI Infrastructure (Financial Services) Location: London Contract Type: Full-time/Permanent 2 days required at Office and 3 from home per week £60000 - 80000 DOE Join a forward-thinking financial services firm leveraging AI to transform decision-making and customer experiences. We’re seeking a skilled GCP DevOps Engineer to architect and maintain cloud-native infrastructure … that supports high-performance AI systems. This is a hands-on technical role with strategic impact across infrastructure, automation, and security. Key Responsibilities Infrastructure & Cloud Engineering Design, build, and manage scalable, resilient infrastructure on Google Cloud Platform (GCP) . Implement Infrastructure as Code (IaC) using Terraform to ensure consistent and secure deployments. Utilize GCP services such as Compute Engine , Cloud … Run , Cloud Functions , BigQuery , and Kubernetes to support AI workloads. CI/CD & Automation Develop and maintain CI/CD pipelines using Google Cloud Build , Jenkins , and GitHub Actions . Automate deployment workflows and operational tasks to improve efficiency and reduce manual errors. Drive adoption of DevOps best practices across engineering teams. Containerization & Orchestration Build and manage containerized applications using More ❯

GCP DevOps Engineer – AI Infrastructure (Financial Services) Location: London Contract Type: Full-time/Permanent 2 days required at Office and 3 from home per week £60000 - 80000 DOE Join a forward-thinking financial services firm leveraging AI to transform decision-making and customer experiences. We’re seeking a skilled GCP DevOps Engineer to architect and maintain cloud-native infrastructure … that supports high-performance AI systems. This is a hands-on technical role with strategic impact across infrastructure, automation, and security. Key Responsibilities Infrastructure & Cloud Engineering Design, build, and manage scalable, resilient infrastructure on Google Cloud Platform (GCP) . Implement Infrastructure as Code (IaC) using Terraform to ensure consistent and secure deployments. Utilize GCP services such as Compute Engine , Cloud … Run , Cloud Functions , BigQuery , and Kubernetes to support AI workloads. CI/CD & Automation Develop and maintain CI/CD pipelines using Google Cloud Build , Jenkins , and GitHub Actions . Automate deployment workflows and operational tasks to improve efficiency and reduce manual errors. Drive adoption of DevOps best practices across engineering teams. Containerization & Orchestration Build and manage containerized applications using More ❯

GCP DevOps Engineer – AI Infrastructure (Financial Services) Location: London Contract Type: Full-time/Permanent 2 days required at Office and 3 from home per week £60000 - 80000 DOE Join a forward-thinking financial services firm leveraging AI to transform decision-making and customer experiences. We’re seeking a skilled GCP DevOps Engineer to architect and maintain cloud-native infrastructure … that supports high-performance AI systems. This is a hands-on technical role with strategic impact across infrastructure, automation, and security. Key Responsibilities Infrastructure & Cloud Engineering Design, build, and manage scalable, resilient infrastructure on Google Cloud Platform (GCP) . Implement Infrastructure as Code (IaC) using Terraform to ensure consistent and secure deployments. Utilize GCP services such as Compute Engine , Cloud … Run , Cloud Functions , BigQuery , and Kubernetes to support AI workloads. CI/CD & Automation Develop and maintain CI/CD pipelines using Google Cloud Build , Jenkins , and GitHub Actions . Automate deployment workflows and operational tasks to improve efficiency and reduce manual errors. Drive adoption of DevOps best practices across engineering teams. Containerization & Orchestration Build and manage containerized applications using More ❯

GCP DevOps Engineer – AI Infrastructure (Financial Services) Location: London Contract Type: Full-time/Permanent 2 days required at Office and 3 from home per week £60000 - 80000 DOE Join a forward-thinking financial services firm leveraging AI to transform decision-making and customer experiences. We’re seeking a skilled GCP DevOps Engineer to architect and maintain cloud-native infrastructure … that supports high-performance AI systems. This is a hands-on technical role with strategic impact across infrastructure, automation, and security. Key Responsibilities Infrastructure & Cloud Engineering Design, build, and manage scalable, resilient infrastructure on Google Cloud Platform (GCP) . Implement Infrastructure as Code (IaC) using Terraform to ensure consistent and secure deployments. Utilize GCP services such as Compute Engine , Cloud … Run , Cloud Functions , BigQuery , and Kubernetes to support AI workloads. CI/CD & Automation Develop and maintain CI/CD pipelines using Google Cloud Build , Jenkins , and GitHub Actions . Automate deployment workflows and operational tasks to improve efficiency and reduce manual errors. Drive adoption of DevOps best practices across engineering teams. Containerization & Orchestration Build and manage containerized applications using More ❯

GCP DevOps Engineer – AI Infrastructure (Financial Services) Location: London Contract Type: Full-time/Permanent 2 days required at Office and 3 from home per week £60000 - 80000 DOE Join a forward-thinking financial services firm leveraging AI to transform decision-making and customer experiences. We’re seeking a skilled GCP DevOps Engineer to architect and maintain cloud-native infrastructure … that supports high-performance AI systems. This is a hands-on technical role with strategic impact across infrastructure, automation, and security. Key Responsibilities Infrastructure & Cloud Engineering Design, build, and manage scalable, resilient infrastructure on Google Cloud Platform (GCP) . Implement Infrastructure as Code (IaC) using Terraform to ensure consistent and secure deployments. Utilize GCP services such as Compute Engine , Cloud … Run , Cloud Functions , BigQuery , and Kubernetes to support AI workloads. CI/CD & Automation Develop and maintain CI/CD pipelines using Google Cloud Build , Jenkins , and GitHub Actions . Automate deployment workflows and operational tasks to improve efficiency and reduce manual errors. Drive adoption of DevOps best practices across engineering teams. Containerization & Orchestration Build and manage containerized applications using More ❯

Join a forward-thinking team building the next generation of Generative AI applications using Google Gemini. This 6-month contract offers the chance to architect and deploy LLMs at scale on GCP, driving performance, efficiency, and innovation. You'll play a hands-on role in model development, optimisation, and integration - helping to deliver robust, production-ready AI solutions across enterprise … Google Gemini to join our client on a 6-month project at the forefront of Generative AI. This role offers the opportunity to design, build, and deploy cutting-edge AI models within a Google Cloud Platform (GCP) environment, contributing directly to the development of innovative, production-grade AI solutions. Key Responsibilities: Design, develop, and implement Generative AI models using Google … Gemini to address specific business challenges. Fine-tune and optimise models for accuracy, scalability, and performance. Integrate AI capabilities into existing systems, ensuring seamless deployment and operational stability. Collaborate with data scientists, AI engineers, and product teams to deliver end-to-end AI applications. Oversee model monitoring and retraining to maintain reliability and mitigate bias. Support the design and architecture More ❯

Lead Data Engineer As a Lead Data Engineer, you’ll be instrumental in driving innovation through advanced analytics, AI, cloud technologies, and data science. You will help build a new Data & Analytics function and unified data platform. Key Responsibilities: Develop and execute a data engineering strategy that aligns with organisational goals and technological advancements. Design and implement a scalable, reliable … processing and managing large volumes of structured and unstructured data. Create and manage Power BI dashboards, reports, and data models to provide strategic insights. Integrate cutting-edge technologies like AI, real-time analytics, and automation into our data infrastructure. Lead operational AI initiatives, including the development of machine learning models for predictive analytics. Technical Skills: Proficiency in cloud platforms (Azure … Power Query, and data modelling. Strong programming abilities in Python, SQL, and/or Scala. Expertise in ETL/ELT processes, data warehousing, and data mesh architectures. Familiarity with AI/ML concepts and their application in data analytics. Experience with metadata management, data lineage tracking, and data cataloguing. Knowledge of serverless data processing, event-driven architectures, and modern data More ❯

Lead Data Engineer As a Lead Data Engineer, you’ll be instrumental in driving innovation through advanced analytics, AI, cloud technologies, and data science. You will help build a new Data & Analytics function and unified data platform. Key Responsibilities: Develop and execute a data engineering strategy that aligns with organisational goals and technological advancements. Design and implement a scalable, reliable … processing and managing large volumes of structured and unstructured data. Create and manage Power BI dashboards, reports, and data models to provide strategic insights. Integrate cutting-edge technologies like AI, real-time analytics, and automation into our data infrastructure. Lead operational AI initiatives, including the development of machine learning models for predictive analytics. Technical Skills: Proficiency in cloud platforms (Azure … Power Query, and data modelling. Strong programming abilities in Python, SQL, and/or Scala. Expertise in ETL/ELT processes, data warehousing, and data mesh architectures. Familiarity with AI/ML concepts and their application in data analytics. Experience with metadata management, data lineage tracking, and data cataloguing. Knowledge of serverless data processing, event-driven architectures, and modern data More ❯

Lead Data Engineer As a Lead Data Engineer, you’ll be instrumental in driving innovation through advanced analytics, AI, cloud technologies, and data science. You will help build a new Data & Analytics function and unified data platform. Key Responsibilities: Develop and execute a data engineering strategy that aligns with organisational goals and technological advancements. Design and implement a scalable, reliable … processing and managing large volumes of structured and unstructured data. Create and manage Power BI dashboards, reports, and data models to provide strategic insights. Integrate cutting-edge technologies like AI, real-time analytics, and automation into our data infrastructure. Lead operational AI initiatives, including the development of machine learning models for predictive analytics. Technical Skills: Proficiency in cloud platforms (Azure … Power Query, and data modelling. Strong programming abilities in Python, SQL, and/or Scala. Expertise in ETL/ELT processes, data warehousing, and data mesh architectures. Familiarity with AI/ML concepts and their application in data analytics. Experience with metadata management, data lineage tracking, and data cataloguing. Knowledge of serverless data processing, event-driven architectures, and modern data More ❯

Lead Data Engineer As a Lead Data Engineer, you’ll be instrumental in driving innovation through advanced analytics, AI, cloud technologies, and data science. You will help build a new Data & Analytics function and unified data platform. Key Responsibilities: Develop and execute a data engineering strategy that aligns with organisational goals and technological advancements. Design and implement a scalable, reliable … processing and managing large volumes of structured and unstructured data. Create and manage Power BI dashboards, reports, and data models to provide strategic insights. Integrate cutting-edge technologies like AI, real-time analytics, and automation into our data infrastructure. Lead operational AI initiatives, including the development of machine learning models for predictive analytics. Technical Skills: Proficiency in cloud platforms (Azure … Power Query, and data modelling. Strong programming abilities in Python, SQL, and/or Scala. Expertise in ETL/ELT processes, data warehousing, and data mesh architectures. Familiarity with AI/ML concepts and their application in data analytics. Experience with metadata management, data lineage tracking, and data cataloguing. Knowledge of serverless data processing, event-driven architectures, and modern data More ❯

This is an excellent opportunity within a growing commercial business for a Senior Machine Learning Pricing Analyst to join a thriving team. You will use machine learning and AI-driven analytics through Snowflake to analyse sales and pricing data, and identify lost customer opportunities, and develop strategies to increase sales and profitability. This role combines data science and commercial analysis … to assist the business to drive growth and profitability. Key Areas of the Role: Analyse sales and customer data to identify commercial patterns. Develop and maintain AI/ML models (via Snowflake) that predict customer conversion success. Collaborate with sales, pricing, and commercial teams to develop data-informed pricing strategies. Identify customer segments or pricing bands where win rates are … clear dashboards via Power BI and/or Tableau. Present insights and recommendations to senior leadership with a commercial focus. Continuously evaluate and improve analytical methods using the latest AI and data science tools. The ideal candidate will have hands-on experience applying and deploying machine learning and AI tools like Python, TensorFlow, scikit-learn, or similar, to commercial pricing More ❯

Lead Data Engineer As a Lead Data Engineer, you’ll be instrumental in driving innovation through advanced analytics, AI, cloud technologies, and data science. You will help build a new Data & Analytics function and unified data platform. Key Responsibilities: Develop and execute a data engineering strategy that aligns with organisational goals and technological advancements. Design and implement a scalable, reliable … processing and managing large volumes of structured and unstructured data. Create and manage Power BI dashboards, reports, and data models to provide strategic insights. Integrate cutting-edge technologies like AI, real-time analytics, and automation into our data infrastructure. Lead operational AI initiatives, including the development of machine learning models for predictive analytics. Technical Skills: Proficiency in cloud platforms (Azure … Power Query, and data modelling. Strong programming abilities in Python, SQL, and/or Scala. Expertise in ETL/ELT processes, data warehousing, and data mesh architectures. Familiarity with AI/ML concepts and their application in data analytics. Experience with metadata management, data lineage tracking, and data cataloguing. Knowledge of serverless data processing, event-driven architectures, and modern data More ❯

Are you ready to lead the next generation of AI-powered forensic analytics? Have you helped major banks and regulators make data-driven decisions under pressure? Do you want to shape how one of the Big 4 embeds GenAI into global risk and compliance functions? We’re working with a global consultancy expanding its Forensic Data Analytics practice in London. … This team combines deep forensic expertise with cutting-edge AI and data engineering to tackle challenges in fraud, financial crime, and regulatory compliance for the world’s largest financial institutions. As a Senior Manager , you’ll drive AI-enabled investigations and automation programmes across financial services—bridging strategy, technical delivery, and commercial growth. You’ll join a high-performing team … of 30, lead complex data projects, and help develop new market-ready AI solutions. Key Responsibilities Lead large, AI-driven forensic engagements across FS clients Manage delivery teams (10+) ensuring quality, timeliness, and commercial success Build and maintain senior client relationships (C-suite, regulators, legal teams) Develop new service offerings using GenAI and automation technologies Drive practice growth through proposals More ❯

Are you ready to lead the next generation of AI-powered forensic analytics? Have you helped major banks and regulators make data-driven decisions under pressure? Do you want to shape how one of the Big 4 embeds GenAI into global risk and compliance functions? We’re working with a global consultancy expanding its Forensic Data Analytics practice in London. … This team combines deep forensic expertise with cutting-edge AI and data engineering to tackle challenges in fraud, financial crime, and regulatory compliance for the world’s largest financial institutions. As a Senior Manager , you’ll drive AI-enabled investigations and automation programmes across financial services—bridging strategy, technical delivery, and commercial growth. You’ll join a high-performing team … of 30, lead complex data projects, and help develop new market-ready AI solutions. Key Responsibilities Lead large, AI-driven forensic engagements across FS clients Manage delivery teams (10+) ensuring quality, timeliness, and commercial success Build and maintain senior client relationships (C-suite, regulators, legal teams) Develop new service offerings using GenAI and automation technologies Drive practice growth through proposals More ❯

Are you ready to lead the next generation of AI-powered forensic analytics? Have you helped major banks and regulators make data-driven decisions under pressure? Do you want to shape how one of the Big 4 embeds GenAI into global risk and compliance functions? We’re working with a global consultancy expanding its Forensic Data Analytics practice in London. … This team combines deep forensic expertise with cutting-edge AI and data engineering to tackle challenges in fraud, financial crime, and regulatory compliance for the world’s largest financial institutions. As a Senior Manager , you’ll drive AI-enabled investigations and automation programmes across financial services—bridging strategy, technical delivery, and commercial growth. You’ll join a high-performing team … of 30, lead complex data projects, and help develop new market-ready AI solutions. Key Responsibilities Lead large, AI-driven forensic engagements across FS clients Manage delivery teams (10+) ensuring quality, timeliness, and commercial success Build and maintain senior client relationships (C-suite, regulators, legal teams) Develop new service offerings using GenAI and automation technologies Drive practice growth through proposals More ❯

Senior Machine Learning Engineer Location: Cambridge (Hybrid) Salary: £60,000 – £70,000 + Share Options A growing AI company is developing intelligent imaging software that applies advanced machine learning to medical data, improving diagnostic accuracy and speed. As a Senior Machine Learning Engineer, you’ll design, train and deploy ML models for medical image analysis, working with a highly skilled … team at the intersection of AI, healthcare and software engineering. Responsibilities Develop and optimise ML models for medical image processing and analysis Build and integrate AI pipelines within scalable production environments Collaborate with data, clinical and software teams to ensure robust, validated outputs Skills & Experience MSc/PhD in Computer Science, Machine Learning or related discipline 3+ years’ experience developing … holidays If this position seems like one that suits you and you have the necessary experience, then apply now! Otherwise, if you're looking for any other roles within AI/ML and Computer Vision, then reach out to Oscar Harper at IC Resources. More ❯

Are you ready to lead the next generation of AI-powered forensic analytics? Have you helped major banks and regulators make data-driven decisions under pressure? Do you want to shape how one of the Big 4 embeds GenAI into global risk and compliance functions? We’re working with a global consultancy expanding its Forensic Data Analytics practice in London. … This team combines deep forensic expertise with cutting-edge AI and data engineering to tackle challenges in fraud, financial crime, and regulatory compliance for the world’s largest financial institutions. As a Senior Manager , you’ll drive AI-enabled investigations and automation programmes across financial services—bridging strategy, technical delivery, and commercial growth. You’ll join a high-performing team … of 30, lead complex data projects, and help develop new market-ready AI solutions. Key Responsibilities Lead large, AI-driven forensic engagements across FS clients Manage delivery teams (10+) ensuring quality, timeliness, and commercial success Build and maintain senior client relationships (C-suite, regulators, legal teams) Develop new service offerings using GenAI and automation technologies Drive practice growth through proposals More ❯

Are you ready to lead the next generation of AI-powered forensic analytics? Have you helped major banks and regulators make data-driven decisions under pressure? Do you want to shape how one of the Big 4 embeds GenAI into global risk and compliance functions? We’re working with a global consultancy expanding its Forensic Data Analytics practice in London. … This team combines deep forensic expertise with cutting-edge AI and data engineering to tackle challenges in fraud, financial crime, and regulatory compliance for the world’s largest financial institutions. As a Senior Manager , you’ll drive AI-enabled investigations and automation programmes across financial services—bridging strategy, technical delivery, and commercial growth. You’ll join a high-performing team … of 30, lead complex data projects, and help develop new market-ready AI solutions. Key Responsibilities Lead large, AI-driven forensic engagements across FS clients Manage delivery teams (10+) ensuring quality, timeliness, and commercial success Build and maintain senior client relationships (C-suite, regulators, legal teams) Develop new service offerings using GenAI and automation technologies Drive practice growth through proposals More ❯

Senior Machine Learning Engineer Location: Cambridge (Hybrid) Salary: £60,000 – £70,000 + Share Options A growing AI company is developing intelligent imaging software that applies advanced machine learning to medical data, improving diagnostic accuracy and speed. As a Senior Machine Learning Engineer, you’ll design, train and deploy ML models for medical image analysis, working with a highly skilled … team at the intersection of AI, healthcare and software engineering. Responsibilities Develop and optimise ML models for medical image processing and analysis Build and integrate AI pipelines within scalable production environments Collaborate with data, clinical and software teams to ensure robust, validated outputs Skills & Experience MSc/PhD in Computer Science, Machine Learning or related discipline 3+ years’ experience developing … holidays If this position seems like one that suits you and you have the necessary experience, then apply now! Otherwise, if you're looking for any other roles within AI/ML and Computer Vision, then reach out to Oscar Harper at IC Resources. More ❯

to appoint a Technology Innovation Manager . This is a newly opened role, designed for a technically strong and strategically minded professional to drive the scaling and adoption of AI and emerging technologies across a highly regulated environment. As Technology Innovation Manager, you’ll sit at the intersection of innovation, architecture, and delivery — turning great ideas into scalable, real-world … solutions. Working closely with senior technology leaders (reporting to the CIO), you’ll oversee pilot programmes, evaluate emerging tools (including AI and automation platforms such as Microsoft Co-pilot), and shape the firm’s approach to digital innovation. This role is perfect for someone who enjoys both hands-on solution architecture and strategic influence, with the ability to translate complex … technical concepts into business value. Key Responsibilities Lead the delivery of AI and innovation initiatives from prototype through to firm-wide deployment. Collaborate with the CIO, Head of Data & Architecture, and Innovation teams to align technology solutions with business objectives. Act as the technical lead on AI and automation pilots, driving agile delivery and scalable adoption. Partner with vendors and More ❯

to appoint a Technology Innovation Manager . This is a newly opened role, designed for a technically strong and strategically minded professional to drive the scaling and adoption of AI and emerging technologies across a highly regulated environment. As Technology Innovation Manager, you’ll sit at the intersection of innovation, architecture, and delivery — turning great ideas into scalable, real-world … solutions. Working closely with senior technology leaders (reporting to the CIO), you’ll oversee pilot programmes, evaluate emerging tools (including AI and automation platforms such as Microsoft Co-pilot), and shape the firm’s approach to digital innovation. This role is perfect for someone who enjoys both hands-on solution architecture and strategic influence, with the ability to translate complex … technical concepts into business value. Key Responsibilities Lead the delivery of AI and innovation initiatives from prototype through to firm-wide deployment. Collaborate with the CIO, Head of Data & Architecture, and Innovation teams to align technology solutions with business objectives. Act as the technical lead on AI and automation pilots, driving agile delivery and scalable adoption. Partner with vendors and More ❯