1 to 25 of 28 Vertex AI Jobs in the South East

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 (Google Vertex AI, 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, Google Cloud AI, 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 (Google Vertex AI, 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, Google Cloud AI, 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 (Google Vertex AI, 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, Google Cloud AI, 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 ❯

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, Vertex AI, 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, Vertex AI, 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, Vertex AI, or Azure ML. Monitor model performance, detect More ❯

I'm hiring for an AI project focused on Agentic AI systems deployed on Google Cloud Platform (GCP). This is a opportunity to work with a forward-thinking consultancy delivering real-world AI solutions to public and private sector clients.Details- Proven experience building Agentic AI systems (e.g. autonomous agents, multi-agent … orchestration, tool use, memory, planning) Strong hands-on skills in Python, LLMs, RAG, and LangChain or similar frameworks Deep understanding of GCP services: Vertex AI, BigQuery, Cloud Functions, Pub/Sub, etc. Experience with batch and real-time data pipelines Familiarity with AI assurance, governance, or ethical AI is a bonus Ability More ❯

Contract Type: Contract Duration: 6–12 months (possibility of extension) Start Date: ASAP Overview We are seeking an experienced Machine Learning Engineer to join our data science and AI engineering team on a contract basis in London. The ideal candidate will be responsible for designing, developing, and deploying machine learning models and scalable data pipelines that support advanced … combining flexibility with collaboration, and is ideal for a contractor who thrives in fast-paced, data-driven environments. Key Responsibilities Design, build, and deploy machine learning models and AI-driven solutions to address business challenges. Collaborate with data scientists to transition prototypes into production-ready systems . Develop and maintain end-to-end ML pipelines for data ingestion … retraining processes to ensure continuous improvement. Collaborate cross-functionally with engineering, data, and product teams to integrate ML solutions into production environments. Stay current with emerging trends in AI/ML technologies and contribute to innovation within the organisation. Required Skills & Experience Proven experience (3–5+ years) as a Machine Learning Engineer , Data Scientist , or similar role. Strong More ❯

Contract Type: Contract Duration: 6–12 months (possibility of extension) Start Date: ASAP Overview We are seeking an experienced Machine Learning Engineer to join our data science and AI engineering team on a contract basis in London. The ideal candidate will be responsible for designing, developing, and deploying machine learning models and scalable data pipelines that support advanced … combining flexibility with collaboration, and is ideal for a contractor who thrives in fast-paced, data-driven environments. Key Responsibilities Design, build, and deploy machine learning models and AI-driven solutions to address business challenges. Collaborate with data scientists to transition prototypes into production-ready systems . Develop and maintain end-to-end ML pipelines for data ingestion … retraining processes to ensure continuous improvement. Collaborate cross-functionally with engineering, data, and product teams to integrate ML solutions into production environments. Stay current with emerging trends in AI/ML technologies and contribute to innovation within the organisation. Required Skills & Experience Proven experience (3–5+ years) as a Machine Learning Engineer , Data Scientist , or similar role. Strong More ❯

Contract Type: Contract Duration: 6–12 months (possibility of extension) Start Date: ASAP Overview We are seeking an experienced Machine Learning Engineer to join our data science and AI engineering team on a contract basis in London. The ideal candidate will be responsible for designing, developing, and deploying machine learning models and scalable data pipelines that support advanced … combining flexibility with collaboration, and is ideal for a contractor who thrives in fast-paced, data-driven environments. Key Responsibilities Design, build, and deploy machine learning models and AI-driven solutions to address business challenges. Collaborate with data scientists to transition prototypes into production-ready systems . Develop and maintain end-to-end ML pipelines for data ingestion … retraining processes to ensure continuous improvement. Collaborate cross-functionally with engineering, data, and product teams to integrate ML solutions into production environments. Stay current with emerging trends in AI/ML technologies and contribute to innovation within the organisation. Required Skills & Experience Proven experience (3–5+ years) as a Machine Learning Engineer , Data Scientist , or similar role. Strong More ❯

transaction data—powering greater accuracy, efficiency, and transparency across capital markets. As they scale their data and analytics capabilities, the firm is seeking a forward-thinking, technically strong AI & ML Lead to spearhead machine learning strategy, model development, and intelligent automation initiatives across the platform. This role is ideal for someone with a strong ML engineering background, excellent … stakeholder engagement skills, and deep familiarity with financial services data, regulatory logic, or post-trade workflows. Key Responsibilities: Own and evolve the firm’s AI/ML strategy, aligning use cases with product goals and FS client pain points. Lead the development of ML models for classification, anomaly detection, NLP, and predictive analytics using Python, scikit-learn, PyTorch … to translate ambiguous problems into well-scoped ML initiatives. Partner with engineers to embed models into the platform. Stay up to date with industry and academic trends in AI/ML, particularly those applicable to RegTech, financial data analysis, or document intelligence. Produce clear documentation and educate internal teams on the design, purpose, and behaviour of ML systems. More ❯

transaction data—powering greater accuracy, efficiency, and transparency across capital markets. As they scale their data and analytics capabilities, the firm is seeking a forward-thinking, technically strong AI & ML Lead to spearhead machine learning strategy, model development, and intelligent automation initiatives across the platform. This role is ideal for someone with a strong ML engineering background, excellent … stakeholder engagement skills, and deep familiarity with financial services data, regulatory logic, or post-trade workflows. Key Responsibilities: Own and evolve the firm’s AI/ML strategy, aligning use cases with product goals and FS client pain points. Lead the development of ML models for classification, anomaly detection, NLP, and predictive analytics using Python, scikit-learn, PyTorch … to translate ambiguous problems into well-scoped ML initiatives. Partner with engineers to embed models into the platform. Stay up to date with industry and academic trends in AI/ML, particularly those applicable to RegTech, financial data analysis, or document intelligence. Produce clear documentation and educate internal teams on the design, purpose, and behaviour of ML systems. More ❯

transaction data—powering greater accuracy, efficiency, and transparency across capital markets. As they scale their data and analytics capabilities, the firm is seeking a forward-thinking, technically strong AI & ML Lead to spearhead machine learning strategy, model development, and intelligent automation initiatives across the platform. This role is ideal for someone with a strong ML engineering background, excellent … stakeholder engagement skills, and deep familiarity with financial services data, regulatory logic, or post-trade workflows. Key Responsibilities: Own and evolve the firm’s AI/ML strategy, aligning use cases with product goals and FS client pain points. Lead the development of ML models for classification, anomaly detection, NLP, and predictive analytics using Python, scikit-learn, PyTorch … to translate ambiguous problems into well-scoped ML initiatives. Partner with engineers to embed models into the platform. Stay up to date with industry and academic trends in AI/ML, particularly those applicable to RegTech, financial data analysis, or document intelligence. Produce clear documentation and educate internal teams on the design, purpose, and behaviour of ML systems. 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 ❯

Location : Hybrid/London or Peterborough Team : Data & AI Why this role matters At Compare the Market, we're applying AI to real-world problems that help millions of people make smarter financial decisions. As a Machine Learning Engineer, you'll work at the heart of this transformation—building the infrastructure and tooling that enables our … Have Practical experience deploying ML models into production environments Strong Python development skills and understanding of ML model structures Familiarity with tools such as MLflow, Airflow, SageMaker, or Vertex AI Understanding of CI/CD concepts and basic infrastructure automation Ability to write well-tested, maintainable, and modular code Strong collaboration skills and a growth mindset … or workflow engines (e.g. Argo, Airflow) Familiarity with real-time model deployment, streaming data, or event-driven systems (e.g. Kafka, Flink) Interest in MLOps, model governance, and responsible AI practices Understanding of basic model evaluation, drift detection, and monitoring techniques Why Join Us? You'll work on meaningful problems using modern tooling, surrounded by smart, supportive people. We More ❯

hands-on experience using libraries such as Pandas, Scikit-Learn, Jupyter, and Matplotlib. Proficient in SQL for data extraction and transformation. Experience with Google Cloud Platform (GCP) and Vertex AI for developing and deploying ML services is highly desirable. Solid understanding of time series analysis and forecasting techniques. Strong foundation in computer science principles - data structures 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, Vertex AI, 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, Vertex AI, 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, Vertex AI, 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 ❯

next big challenge? Do you have a passion for football? Why not bring the two together? This is a unique opportunity to work at the cutting edge of AI, data technology, and elite football analytics. As a Data Scientist, you’ll join a collaborative, high-performing team with a culture rooted in creativity, innovation, and excellence. In this … analysts, and execs Highly Desirable Skills Football Analytics Experience : Familiarity with football-specific datasets (event, tracking, positiona l), and libraries like mplsoccer Advanced MLOps & Modelling : Experience with the Vertex AI ecosystem, especially pipelines, and advanced techniques such as player valuation , tactical modelling , etc. Bayesian Modelling : Knowledge of probabilistic programming (e.g., PyMC ) for uncertainty-aware predictions Stakeholder More ❯

next big challenge? Do you have a passion for football? Why not bring the two together? This is a unique opportunity to work at the cutting edge of AI, data technology, and elite football analytics. As a Data Scientist, you’ll join a collaborative, high-performing team with a culture rooted in creativity, innovation, and excellence. In this … analysts, and execs Highly Desirable Skills Football Analytics Experience : Familiarity with football-specific datasets (event, tracking, positiona l), and libraries like mplsoccer Advanced MLOps & Modelling : Experience with the Vertex AI ecosystem, especially pipelines, and advanced techniques such as player valuation , tactical modelling , etc. Bayesian Modelling : Knowledge of probabilistic programming (e.g., PyMC ) for uncertainty-aware predictions Stakeholder More ❯

next big challenge? Do you have a passion for football? Why not bring the two together? This is a unique opportunity to work at the cutting edge of AI, data technology, and elite football analytics. As a Data Scientist, you’ll join a collaborative, high-performing team with a culture rooted in creativity, innovation, and excellence. In this … analysts, and execs Highly Desirable Skills Football Analytics Experience : Familiarity with football-specific datasets (event, tracking, positiona l), and libraries like mplsoccer Advanced MLOps & Modelling : Experience with the Vertex AI ecosystem, especially pipelines, and advanced techniques such as player valuation , tactical modelling , etc. Bayesian Modelling : Knowledge of probabilistic programming (e.g., PyMC ) for uncertainty-aware predictions Stakeholder More ❯

and CI/CD for data systems Highly Desirable Skills GCP Stack: Hands-on expertise with BigQuery, Cloud Storage, Pub/Sub, and orchestrating workflows with Composer or Vertex Pipelines. Domain Knowledge: Understanding of sports-specific data types ( event, tracking, scouting, video ) API Development: Experience building data-centric APIs using FastAPI , especially in serverless environments (e.g., Google App More ❯

and CI/CD for data systems Highly Desirable Skills GCP Stack: Hands-on expertise with BigQuery, Cloud Storage, Pub/Sub, and orchestrating workflows with Composer or Vertex Pipelines. Domain Knowledge: Understanding of sports-specific data types ( event, tracking, scouting, video ) API Development: Experience building data-centric APIs using FastAPI , especially in serverless environments (e.g., Google App More ❯

Proven experience as a Data Scientist within a customer, marketing, or consumer analytics environment. Strong proficiency in Python for data manipulation, analysis, and model development. Experience working with Vertex AI Solid understanding of predictive modelling , causal inference , optimisation , or uplift modelling . Demonstrated ability to simplify technical work for senior business audiences. Collaborative mindset with the More ❯