Role: CoPilot Architect Location: London Role Summary As a Senior Architect You will define and drive HCLTech’s strategy for Microsoft 365 CoPilot and Agentic AI—serving as the principal architect for our highest-value clients. You’ll craft enterprise-scale CoPilot ecosystems, influence vendor roadmaps with Microsoft and OpenAI, and shape governance and best practices across our … AI & Cloud Native Labs network. Key Responsibilities 1. Strategic Architecture & Vision a. Establish the Centre of Excellence’s reference architecture for Copilot and Agentic AI, supporting multi-tenant, multi-region deployments. b. Align CoPilot and adjacent AI frameworks (GoogleVertexAI, AWS Bedrock, ServiceNow Agentforce) with HCLTech’s global transformation … workshops and steering committees to translate AI capabilities into strategic imperatives. 3. Vendor Ecosystem Leadership a. Forge strategic alliances with Microsoft CoPilot engineering, OpenAI research, GoogleCloudAI, AWS AI, and ServiceNow teams. b. Influence product roadmaps by providing enterprise requirements and market insights. 4. Governance, Compliance & Risk a. Define and enforce governance frameworks More ❯
Role: CoPilot Architect Location: London Role Summary As a Senior Architect You will define and drive HCLTech’s strategy for Microsoft 365 CoPilot and Agentic AI—serving as the principal architect for our highest-value clients. You’ll craft enterprise-scale CoPilot ecosystems, influence vendor roadmaps with Microsoft and OpenAI, and shape governance and best practices across our … AI & Cloud Native Labs network. Key Responsibilities 1. Strategic Architecture & Vision a. Establish the Centre of Excellence’s reference architecture for Copilot and Agentic AI, supporting multi-tenant, multi-region deployments. b. Align CoPilot and adjacent AI frameworks (GoogleVertexAI, AWS Bedrock, ServiceNow Agentforce) with HCLTech’s global transformation … workshops and steering committees to translate AI capabilities into strategic imperatives. 3. Vendor Ecosystem Leadership a. Forge strategic alliances with Microsoft CoPilot engineering, OpenAI research, GoogleCloudAI, AWS AI, and ServiceNow teams. b. Influence product roadmaps by providing enterprise requirements and market insights. 4. Governance, Compliance & Risk a. Define and enforce governance frameworks More ❯
Role: CoPilot Architect Location: London Role Summary As a Senior Architect You will define and drive HCLTech’s strategy for Microsoft 365 CoPilot and Agentic AI—serving as the principal architect for our highest-value clients. You’ll craft enterprise-scale CoPilot ecosystems, influence vendor roadmaps with Microsoft and OpenAI, and shape governance and best practices across our … AI & Cloud Native Labs network. Key Responsibilities 1. Strategic Architecture & Vision a. Establish the Centre of Excellence’s reference architecture for Copilot and Agentic AI, supporting multi-tenant, multi-region deployments. b. Align CoPilot and adjacent AI frameworks (GoogleVertexAI, AWS Bedrock, ServiceNow Agentforce) with HCLTech’s global transformation … workshops and steering committees to translate AI capabilities into strategic imperatives. 3. Vendor Ecosystem Leadership a. Forge strategic alliances with Microsoft CoPilot engineering, OpenAI research, GoogleCloudAI, AWS AI, and ServiceNow teams. b. Influence product roadmaps by providing enterprise requirements and market insights. 4. Governance, Compliance & Risk a. Define and enforce governance frameworks More ❯
Role: CoPilot Architect Location: London Role Summary As a Senior Architect You will define and drive HCLTech’s strategy for Microsoft 365 CoPilot and Agentic AI—serving as the principal architect for our highest-value clients. You’ll craft enterprise-scale CoPilot ecosystems, influence vendor roadmaps with Microsoft and OpenAI, and shape governance and best practices across our … AI & Cloud Native Labs network. Key Responsibilities 1. Strategic Architecture & Vision a. Establish the Centre of Excellence’s reference architecture for Copilot and Agentic AI, supporting multi-tenant, multi-region deployments. b. Align CoPilot and adjacent AI frameworks (GoogleVertexAI, AWS Bedrock, ServiceNow Agentforce) with HCLTech’s global transformation … workshops and steering committees to translate AI capabilities into strategic imperatives. 3. Vendor Ecosystem Leadership a. Forge strategic alliances with Microsoft CoPilot engineering, OpenAI research, GoogleCloudAI, AWS AI, and ServiceNow teams. b. Influence product roadmaps by providing enterprise requirements and market insights. 4. Governance, Compliance & Risk a. Define and enforce governance frameworks More ❯
As AI Manager at our Global Office, you are part of a team that brings the legend of Belmond to life. You will be instrumental in driving the development, implementation, and successful adoption of both traditional AI and cutting-edge Generative AI (GenAI) models within Belmond. Through leveraging a diverse range of AI … moment. Primary Responsibilities Include Team Management & Mentorship: Manage, mentor, and provide technical guidance to a Data Scientist, fostering a high-performance environment focused on innovation and delivery of AI solutions, encompassing both traditional and generative approaches. AI Strategy & Implementation: Develop and execute the company's AI strategy, encompassing both traditional AI techniques … e.g., predictive modeling, classification, regression) and Generative AI models. Identify opportunities to apply these technologies to improve guest experiences, streamline operations, and increase profitability. Project Management: Oversee a portfolio of AI projects from conception through deployment and production, ensuring adherence to timelines, budgets, and quality standards. This includes managing resources, mitigating risks, and tracking project progress More ❯
MCS Group | Your Specialist Recruitment Consultancy
Senior AI Engineer | Shape Greenfield AI Capabilities in a Global Platform MCS Group is delighted to be partnering exclusively with an established global tech company with a engineering hub in Belfast that is expanding its Data & AI Platform Team as part of a multi-year digital transformation. They develop digital manufacturing intelligence tools used … by world-leading manufacturers to make smarter design, sourcing, and production decisions - combining cloud data , AI , and digital twin technology to drive efficiency, sustainability, and innovation. The Role This is a hands-on AI engineering role within a collaborative, product-driven team building a next-generation data platform that leverages proprietary data to deliver advanced insights … and AI capabilities . You'll design and implement both LLM-driven and traditional AI/ML solutions, embedding intelligent automation into core products and data workflows. It's a greenfield opportunity with real freedom to shape how AI is built, deployed, and scaled across the organisation. You'll Be Working On Designing and More ❯
Project Description: We are seeking highly skilled and motivated Generative AI Engineers to join our growing AI team. You will be responsible for designing, developing, and deploying cutting-edge Generative AI solutions using LLMs, Transformers, and Diffusion models. This role involves working on enterprise-grade applications such as intelligent chatbots, document summarization, code assistants … and more. Responsibilities: Design, prototype, and deploy Generative AI models (LLMs, Transformers, Diffusion models) for real-world enterprise use cases. Build and fine-tune LLM-based applications such as: - Chatbots - Document Q&A systems - Report generators - Code assistants - Summarization tools Apply prompt engineering, Retrieval-Augmented Generation (RAG), and context-aware pipelines to enhance model accuracy and relevance. Integrate … AI models with enterprise systems, APIs, and data stores using Python, Java, or Node.js. Collaborate with architects to define scalable, secure, and cost-efficient AI service architectures. Implement AI/ML pipelines for training, validation, and deployment using tools like MLflow, VertexAI, or Azure ML. Monitor model performance, detect More ❯
Project Description: We are seeking highly skilled and motivated Generative AI Engineers to join our growing AI team. You will be responsible for designing, developing, and deploying cutting-edge Generative AI solutions using LLMs, Transformers, and Diffusion models. This role involves working on enterprise-grade applications such as intelligent chatbots, document summarization, code assistants … and more. Responsibilities: Design, prototype, and deploy Generative AI models (LLMs, Transformers, Diffusion models) for real-world enterprise use cases. Build and fine-tune LLM-based applications such as: - Chatbots - Document Q&A systems - Report generators - Code assistants - Summarization tools Apply prompt engineering, Retrieval-Augmented Generation (RAG), and context-aware pipelines to enhance model accuracy and relevance. Integrate … AI models with enterprise systems, APIs, and data stores using Python, Java, or Node.js. Collaborate with architects to define scalable, secure, and cost-efficient AI service architectures. Implement AI/ML pipelines for training, validation, and deployment using tools like MLflow, VertexAI, or Azure ML. Monitor model performance, detect More ❯
Bristol, Gloucestershire, United Kingdom Hybrid / WFH Options
Lloyds Bank plc
Machine Learning & AI Engineer page is loaded Machine Learning & AI Engineerlocations: Bristol Harboursidetime type: Full timeposted on: Posted Todaytime left to apply: End Date: November 5, 2025 (13 days left to apply)job requisition id: 143314 End Date Tuesday 04 November 2025 Salary Range £70,929 - £78,810 Flexible Working Options Hybrid Working, Job Share Job … Description Summary . Job Description JOB TITLE: Machine Learning & AI Engineer. SALARY : £71,000pa to £86,691pa plus an extensive benefits package. LOCATION: Bristol. HOURS: 35 hours, full time. WORKING PATTERN : Our work style is hybrid, which involves spending at least two days per week, or 40% of your time, at our Bristol hub.We're on an exciting … a great place for everyone, including you! Experience Optimisation is a product within the Personalised Experiences & Communications Platform. We are the team responsible for building Machine Learning (ML) AI models to define how we want to engage our customers with communications. We use a range of tried and tested techniques, as well as leveraging advances in AIMore ❯
Overview Join Expleo and Lead the Future of AI Transformation Across Industries Are you ready to shape the future of AI across Banking, Insurance, Retail, and Life Sciences? At Expleo, we're looking for a visionary AI Offer Leader to architect and scale AI-driven solutions that transform customer engagement, operational efficiency … and compliance. This is your chance to work at the intersection of enterprise architecture and cutting-edge AI innovation-driving impact across marquee clients and industries. Responsibilities Partner with sales teams to co-create AI offers and support pre-sales activity Deliver presentations and workshops to CxO-level stakeholders, articulating AI's business value … Collaborate with delivery teams to validate solution feasibility and execution models Work closely with the AI CoE in India to design PoCs, demonstrators, and accelerators Architect industry-specific AI solutions in: Banking/Payments: fraud detection, credit scoring, conversational AI, compliance automation Insurance: claims automation, risk modelling, personalised offerings Retail: demand forecasting, customer journey More ❯
Minimum qualifications: Bachelor's degree in Computer Science, Data Science, or equivalent practical experience. 7 years of experience working in AI/ML as a technical sales engineer or in software engineering. Experience in Python and Machine learning frameworks (e.g., TensorFlow, PyTorch). Experience in Generative AI as a user or a developer. Experience delivering technical … to architect and explain data pipelines, Machine Learning (ML) pipelines, and ML training and serving approaches. Understanding of nearest neighbor search concepts. About the job As a Generative AI Field Solutions Architect, you will support GoogleCloud Sales and Engineering teams to incubate, pilot, and deploy GoogleCloud's AI/ML and Generative AI … run benchmarks for existing models, finding opportunities to use accelerators for new models, developing migration paths, and helping to analyze cost to performance. You will work with internal CloudAI teams to remove roadblocks and shape the future of our offerings. It's an exciting time to join GoogleCloud's Go-To-Market team, leading the AIMore ❯
Overview JOB TITLE: Machine Learning & AI Engineer. SALARY : £71,000pa to £86,691pa plus an extensive benefits package. LOCATION: Bristol. HOURS: 35 hours, full time. WORKING PATTERN : Our work style is hybrid, which involves spending at least two days per week, or 40% of your time, at our Bristol hub. We're on an exciting journey to transform … a great place for everyone, including you! Experience Optimisation is a product within the Personalised Experiences & Communications Platform. We are the team responsible for building Machine Learning (ML) AI models to define how we want to engage our customers with communications. We use a range of tried and tested techniques, as well as leveraging advances in AI model development, to develop and deploy a wide range of ML models. We're looking for a strategic and technically minded Machine Learning & AI Engineer to join our team as we continue to advance the Group in this space. Want to hear more? You will use your knowledge of key software development best practices, Python testing More ❯
Line of Service: Internal Firm Services Industry/Sector: Technology Specialism: Technology Strategy Management Level: Senior Manager About the Role We are looking for an experienced AI Solution Architect who is responsible for designing enterprise AI solutions that align with business objectives while ensuring scalability, security, and efficiency. This role translates business needs into AI-driven architectures (across data ingestion, models and operational workflows), ensuring feasibility, cost-effectiveness, and adherence to industry best practices and firmwide standards. The AI Solution Architect works closely with the sales teams, engineers and stakeholders to define solution plans and roadmaps, select appropriate technologies and models and guide successful implementations. They provide deep experience in designing … Large Language Models/Small Language Models) deployment, fine-tuning, inference optimization, retrieval-augmented generation (RAG), API-based AI deployment and model orchestration. Strong knowledge of CloudAI & Hyperscalers, including AWS Bedrock, OpenAI, GoogleVertexAI, Azure, hybrid and multimodal AI applications. Proficiency in Cloud Security & FinOps, including AIMore ❯
Field Solutions Architect, GenAI, GoogleCloudGoogle London, UK Responsibilities Advise our customers by understanding the customer's business process and objectives. Architect AI driven, spanning Data, AI, and Infrastructure, and work with peers to include the full cloud stack into overall architecture. Work with customers, demonstrate features, tune models, optimize model performance, profiling, and benchmarking. … scripts, templates, reference architectures to enable other customers and internal teams. Work cross-functionally to influence GoogleCloud strategy and product direction at the intersection of infrastructure and AI/ML by advocating for enterprise customer requirements. Coordinate regional field enablement with leadership and work with product and partner organizations on external enablement activities. Preferred qualifications Experience with … run benchmarks for existing models, finding opportunities to use accelerators for new models, developing migration paths, and helping to analyze cost to performance. You will work with internal CloudAI teams to remove roadblocks and shape the future of our offerings. It's an exciting time to join GoogleCloud's Go-To-Market team, leading the AIMore ❯
Central London, London, United Kingdom Hybrid / WFH Options
Singular Recruitment
forecasting). Practical experience with Keras or PyTorch is required. Full-Stack Deployment: Demonstrable experience taking models to production, including building and deploying APIs with FastAPI and using VertexAI for ML workflows. Visualization & Communication: Ability to create clear visualizations and effectively communicate technical findings to non-technical stakeholders. Highly desirable skills include: Football Analytics Domain … Significant plus if experienced with football datasets (event, tracking, etc.) and visualization libraries like mplsoccer . Advanced MLOps & Modelling: Deeper experience with the VertexAI lifecycle (especially Pipelines ) and advanced modelling techniques relevant to football (player valuation, tactical analysis). Bayesian Modelling: Experience with probabilistic programming (e.g., PyMC). Stakeholder Management: Proven success working directly with More ❯
leadership, data engineering, infrastructure and DevOps, data/metadata/knowledge platforms, and GenAI/ML, compute, and analysis platforms. We're seeking a highly skilled Director for AI/ML, Compute, Infra & DevOps Platforms products. In this role you will develop the product strategy for our core developer platforms, combine technical depth with strategic vision, and lead … teams to drive product success in a cutting edge R&D setting. Key Responsibilities Develop and execute a comprehensive product strategy for our platform products, including AI/ML, GenAI, Compute/Analytics, Cloud/Physical Infrastructure, and DevOps platforms. Define and prioritize features, enhancements, and functionalities based on user analysis, customer feedback, and business requirements. Plan and … services. Hands on experience with DevOps and engineering tools (GitLab, GitHub, Azure DevOps, Docker, Kubernetes). Proficiency with AI/ML and MLOps platforms (Databricks, GoogleCloudVertexAI, SageMaker). Familiarity with generative AI technologies and frameworks (OpenAI, Google Gemini, Hugging Face Transformers). Demonstrated success in developing and executing product More ❯
connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world. FS Technology Consulting - AI and Data - Data Engineer - Senior Consultant/Manager - Dublin/Cork/Limerick/Galway General Information Location: Dublin, Cork, Limerick, or Galway. Available for VISA Sponsorship: No Business … RBAC. AWS: Experience with S3, Glue, Redshift, and Lambda. Familiarity with IAM, CloudWatch, and Athena. Experience with BigQuery, Cloud Storage, and Dataflow. Familiarity with Cloud Functions, IAM, and VertexAI (optional). Experience in one or more of the following Data Platforms: Microsoft: Experience with Azure Data Factory for orchestrating data workflows. Proficiency in Azure Synapse More ❯
systems and infrastructure. Experience with machine learning, C++ and Python. Preferred qualifications: Master's degree in Computer Science or a related technical field. Experience with system design, Generative AI Agent. About the job Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our … You will play a pivotal role in building a team to ensure the deployment of GenAI across Google is as easy, economical, and as fast as possible. The AI and Infrastructure team works on the world's toughest problems, redefining what's possible and the possible easy. We empower Google customers by delivering AI and Infrastructure … Googlers, Googler Cloud customers, and billions of Google users worldwide. We're at the center of amazing work at Google by being the "flywheel" that enables our advanced AI models, delivers computing power across global services, and offers platforms that developers use to build services. In AI and Infrastructure, we shape the future of hyperscale computing More ❯
Newcastle Upon Tyne, Tyne and Wear, England, United Kingdom
Atom Bank
and strategically minded Solutions Architect to drive the technical direction and governance of our core domain initiatives. This role requires a strong blend of modern technology expertise (GCP, AI/ML, Core Banking), rigorous architectural governance, and the ability to influence strategy through commercial acumen and Agile principles. The Solution Architect partners with product and technical teams to … need from you? Industry Experience: Proven track record of architecting within Financial Services or other highly regulated industries. Technical Depth: Desired experience with cloud and modern FinTech/AI solutions (e.g., VertexAI, Thought Machine, Flowable, or similar Core Banking/Workflow tools). Delivery Mastery: Deep understanding and practical application of Product-oriented More ❯
Newcastle Upon Tyne, Tyne and Wear, England, United Kingdom
Atom Bank
and strategically minded Solutions Architect to drive the technical direction and governance of our core domain initiatives. This role requires a strong blend of modern technology expertise (GCP, AI/ML, Core Banking), rigorous architectural governance, and the ability to influence strategy through commercial acumen and Agile principles. The Solution Architect partners with product and technical teams to … need from you? Industry Experience: Proven track record of architecting within Financial Services or other highly regulated industries. Technical Depth: Desired experience with cloud and modern FinTech/AI solutions (e.g., VertexAI, Thought Machine, Flowable, or similar Core Banking/Workflow tools). Delivery Mastery: Deep understanding and practical application of Product-oriented More ❯
traditional manufacturing by providing engineers worldwide with instant access to reliable production methods through our digital platform. As the UK's leading Digital Manufacturing Marketplace, we offer an AI-powered B2B MaaS (Manufacturing as a Service) solution, seamlessly connecting buyers and suppliers to drive efficiency and innovation. With our headquarters in London and quality branches in India, China … creating the world's most innovative products. About the role: This is a hybrid role that combines Data Engineering and Data Science , with a strong focus on applying AI in practical ways . You'll be responsible for everything from ingesting and transforming data to building dashboards, running experiments, and deploying lightweight AI-powered solutions into … with the product and operations teams to solve real business problems fast - with full autonomy and a mandate to make things happen. Important: This is not an academic AI/ML role. You won't be building LLMs from scratch. Instead, you'll use off-the-shelf models, prompt engineering, and smart automation to drive outcomes. Main responsibilities More ❯
Position: Product Owner AI/ML Strategy (Onsite)Location: Phoenix, AZ Duration: 12+ Months Job Description Experience: 5+ years in product management, preferably in travel, finance, or lifestyle platforms Key Skills & Expertise: Proven experience managing data-driven products and working knowledge of ML principles and model lifecycle. Strong grasp of customer segmentation, targeting, recommendation, and real-time personalization … with Tableau/Power BI and basic Python. Understanding of ML tools (ML Studio, GitHub Copilot, Elastic Search), model explainability (SHAP, LIME), and cloud platforms (GCP including BigQuery, VertexAI). Knowledge of data pipelines, ETL/ELT, and software/model development lifecycles. Experience with security, compliance (GDPR, data privacy), model governance, and risk management. … Excellent communication, stakeholder management, and presentation skills. Responsibilities: Define and drive product strategy and roadmap for AI/ML-powered personalization products. Collaborate with data science and engineering teams to build, deploy, and monitor ML models impacting customer experiences. Translate data insights and model outputs into actionable product features across planning, booking, marketing, servicing, and lifestyle applications. Partner More ❯
About Us We are an AI-native, VC-backed startup building a multimodal, proprietary foundation model with a profound understanding of retail, designed to hyper-personalise every shopper touchpoint. As we scale from research to production, we need robust infrastructure that makes our models reliable, reproducible, and observable at scale. As a Senior MLOps Engineer, you will own … serving real users. Strong proficiency in containerisation (Docker, Kubernetes) and orchestration of multi-stage ML workflows. Hands-on experience with ML platforms and tools such as MLflow, Kubeflow, VertexAI, SageMaker, or similar model management systems. Practical knowledge of infrastructure as code, CI/CD best practices, and cloud platforms (AWS, GCP, or Azure). Experience More ❯
About Us We are an AI-native, VC-backed startup building a multimodal, proprietary foundation model with a profound understanding of retail, designed to hyper-personalise every shopper touchpoint. As we scale from research to production, we need robust infrastructure that makes our models reliable, reproducible, and observable at scale. As a Senior MLOps Engineer, you will own … serving real users. Strong proficiency in containerisation (Docker, Kubernetes) and orchestration of multi-stage ML workflows. Hands-on experience with ML platforms and tools such as MLflow, Kubeflow, VertexAI, SageMaker, or similar model management systems. Practical knowledge of infrastructure as code, CI/CD best practices, and cloud platforms (AWS, GCP, or Azure). Experience More ❯
About Us We are an AI-native, VC-backed startup building a multimodal, proprietary foundation model with a profound understanding of retail, designed to hyper-personalise every shopper touchpoint. As we scale from research to production, we need robust infrastructure that makes our models reliable, reproducible, and observable at scale. As a Senior MLOps Engineer, you will own … serving real users. Strong proficiency in containerisation (Docker, Kubernetes) and orchestration of multi-stage ML workflows. Hands-on experience with ML platforms and tools such as MLflow, Kubeflow, VertexAI, SageMaker, or similar model management systems. Practical knowledge of infrastructure as code, CI/CD best practices, and cloud platforms (AWS, GCP, or Azure). Experience More ❯
