22 of 22 Vertex AI Jobs in London

Job Role : Data Science Manager - Marketing & Customer Generative AI Enterprise Architect Location: London/Manchester/Edinburgh/Newcastle/Birmingham Career Level : Manager (L7) We Are: Accenture Song accelerates growth and value for our clients through sustained customer relevance. Our capabilities span ideation to execution: growth, product and experience design; technology and experience platforms; creative, media and … we help our clients operate at the speed of life through the unlimited potential of imagination, technology and intelligence. Visit us at: As a team: The Data and AI revolution is changing everything. It's everywhere - transforming how we work and play. Join Accenture and help transform leading organisations and communities around the world. Accenture Data and AI … capabilities and client engagements and the way we collaborate with the ecosystem, operate and deliver value provides an unparalleled opportunity to grow and advance. Accenture's Data and AI practice covers the range of Data and AI skills, from Strategy, Data Science, Data Architecture, AI Engineering and Visual Insights. When combined with Accenture's More ❯

The ideal candidate will be responsible for designing and deploying scalable AI and ML solutions that supports informed decision-making across the organization. You will build and integrate AI-powered applications, particularly those leveraging large language models (LLMs), developing interactive dashboards, integrating LLMs into BI platforms and predictive models to enhance business insights and improve user … experience. Education A bachelor’s degree in computer science, Data Science, Artificial Intelligence, or a related field. Master’s degree preferred, especially with a focus on AI or Machine Learning. Experience & Skills • Minimum 8 years of experience in Data Science, AI Engineering, advanced analytics, or related roles; Oil and Gas industry experience is a plus. • Experience … in developing AI solutions using cloud platforms such as Microsoft Azure, AWS, or GCP, and tools like AI Foundry, Copilot Studio, Vertex AI Studio, and Databricks Mosaic AI. • Design and deploy AI/ML models and LLM-powered applications to support business use cases and enhance decision-making. • Integrate AI More ❯

stakeholders Demonstrable experience deploying machine learning solutions in a production environment, and familiarity with version controls systems (e.g. Git) Desirables: Experience with cloud-based ML infrastructure, particularly GCP (Vertex AI, BigQuery), or equivalent (e.g. AWS, Azure) Exposure to orchestration tools such as Kubeflow pipelines or Airflow Familiarity with DBT or similar tools for modelling data in More ❯

stakeholders Demonstrable experience deploying machine learning solutions in a production environment, and familiarity with version controls systems (e.g. Git) Desirables: Experience with cloud-based ML infrastructure, particularly GCP (Vertex AI, BigQuery), or equivalent (e.g. AWS, Azure) Exposure to orchestration tools such as Kubeflow pipelines or Airflow Familiarity with DBT or similar tools for modelling data in More ❯

at loveholidays. You'll be a catalyst for innovation, a mentor to junior team members, and a trusted advisor to stakeholders across the business, helping to implement our AI strategy and align data science capabilities with business objectives. Your day-to-day: Leading strategic initiatives from conception to delivery, including stakeholder management and business value articulation Researching and … experiment tracking Track record of successful technical mentorship and team development Demonstrated cross-functional collaboration skills across engineering, product, and business teams Desirable Expertise in Deep Learning, Generative AI and Reinforcement Learning Advanced knowledge of Time Series Forecasting and Recommender Systems Previous experience working in e-commerce, retail, or the travel industry Experience designing and analysing large-scale … A/B test experiments Mastery of workflow orchestration technologies such as Airflow, Dagster or Prefect Expert knowledge of technologies such as: Google Cloud Platform, particularly Vertex AI Docker and Kubernetes Infrastructure as Code Experience establishing data science best practices across an organisation Perks of joining us: Company pension contributions at 5%. Individualised training budget More ❯

switch and save money and that's why good things happen when you meerkat. We'd love you to be part of our journey! We're scaling our AI capabilities at Compare the Market, and Machine Learning Engineering is at the core of how we turn models into production-ready systems. As a Machine Learning Engineering Manager, you … can lead people, deliver at pace, and contribute to system design and platform standards. You'll partner with data science, analytics, and platform engineering teams to accelerate how AI is developed and deployed across the organisation. Everyone is welcome! We have a culture of creativity. We approach our work passionately, improve constantly and celebrate our wins at every … Lead hiring, onboarding, and team capability development initiatives What we'd like to see from you: • Experience leading engineering teams focused on machine learning, data platforms, or applied AI delivery • Proven track record deploying ML systems in production at scale (batch and/or real-time) • Strong technical background in Python and ML engineering tooling (e.g. MLflow, Airflow More ❯

switch and save money and that’s why good things happen when you meerkat. We’d love you to be part of our journey! We’re scaling our AI capabilities at Compare the Market, and Machine Learning Engineering is at the core of how we turn models into production-ready systems. As a Machine Learning Engineering Manager, you … can lead people, deliver at pace, and contribute to system design and platform standards. You’ll partner with data science, analytics, and platform engineering teams to accelerate how AI is developed and deployed across the organisation. Everyone is welcome! We have a culture of creativity. We approach our work passionately, improve constantly and celebrate our wins at every … Lead hiring, onboarding, and team capability development initiatives What we’d like to see from you: • Experience leading engineering teams focused on machine learning, data platforms, or applied AI delivery • Proven track record deploying ML systems in production at scale (batch and/or real-time) • Strong technical background in Python and ML engineering tooling (e.g. MLflow, Airflow More ❯

switch and save money and that’s why good things happen when you meerkat. We’d love you to be part of our journey! We’re scaling our AI capabilities at Compare the Market, and Machine Learning Engineering is at the core of how we turn models into production-ready systems. As a Machine Learning Engineering Manager, you … can lead people, deliver at pace, and contribute to system design and platform standards. You’ll partner with data science, analytics, and platform engineering teams to accelerate how AI is developed and deployed across the organisation. Everyone is welcome! We have a culture of creativity. We approach our work passionately, improve constantly and celebrate our wins at every … Lead hiring, onboarding, and team capability development initiatives What we’d like to see from you: Experience leading engineering teams focused on machine learning, data platforms, or applied AI delivery Proven track record deploying ML systems in production at scale (batch and/or real-time) Strong technical background in Python and ML engineering tooling (e.g. MLflow, Airflow More ❯

are looking for a Technologist first, with these additional capabilities. Architecture and Engineering practice capability is essential. ROLE REQUIREMENTS Client facing. Thought Leadership and promotion of AKQA Technology. AI Adopter AI Usage - proficient elevated workflow and development, AI Solutions - landscape, systems design and integration, AI Creation - Understanding of training and creation of … improve processes per project, client workstreams and in the technology department as a whole. Technical skills and knowledge: Cloud hosting providers such as AWS, Azure, GCP, Vercel & Netlify AI platforms such as AWS Bedrock, Microsoft Azure AI, Google Vertex AI AI frameworks such as AutoGen, Langflow Fine-tuned and train … AI models Knowledge of Infrastructure as Code, CI/CD Use of Middleware and RESTful or GraphQL APIs Microservices and MACH Architectures. HTML, CSS, Javascript frameworks such as React, or Mobile technologies such as SwiftUI, Kotlin, Flutter or React-native CMS and DXPs SaaS products integration Atlassian, Azure DevOps, GitLab or similar workflow tools Understanding of Automation and More ❯

Generative & Agentic AI Engineer - Google/GCP focus Location: London (remote-first) Salary: £80,000 – £130,000 (DOE) We’re hiring a highly skilled and innovation-driven Generative & Agentic AI Engineer with a Google/GCP focus to join a forward-thinking AI engineering team pushing the boundaries of what's possible with large … language models and autonomous agents. This is a fast-paced, hands-on opportunity for someone excited by cutting-edge AI tools and frameworks, who thrives in an environment of experimentation, iteration, and deep technical problem-solving. Key Responsibilities: Rapidly design and develop LLM and agent-based prototypes across varied use cases. Build agentic workflows and reasoning pipelines using … experience etc Proven track record designing and deploying agentic and generative AI prototypes. Deep understanding of semantic search, vector databases, and memory management strategies. Familiarity with cloud AI tools, observability platforms, and performance optimisation. This is an opportunity to work at the forefront of AI innovation, where your work will directly shape how next More ❯

Generative & Agentic AI Engineer - Google/GCP focus Location: London (remote-first) Salary: £80,000 – £130,000 (DOE) We’re hiring a highly skilled and innovation-driven Generative & Agentic AI Engineer with a Google/GCP focus to join a forward-thinking AI engineering team pushing the boundaries of what's possible with large … language models and autonomous agents. This is a fast-paced, hands-on opportunity for someone excited by cutting-edge AI tools and frameworks, who thrives in an environment of experimentation, iteration, and deep technical problem-solving. Key Responsibilities: Rapidly design and develop LLM and agent-based prototypes across varied use cases. Build agentic workflows and reasoning pipelines using … experience etc Proven track record designing and deploying agentic and generative AI prototypes. Deep understanding of semantic search, vector databases, and memory management strategies. Familiarity with cloud AI tools, observability platforms, and performance optimisation. This is an opportunity to work at the forefront of AI innovation, where your work will directly shape how next More ❯

Role Overview: As an AI Transformation Lead, working in a pre-sales and delivery capacity, you will be at the forefront of driving transformation initiatives powered by artificial intelligence. You will leverage your expertise in AI technologies to guide clients through their digital transformation journeys, ensuring they harness the potential of AI to enhance … improve customer experience, and drive innovation. You will work closely with a variety of stakeholders, including clients, internal teams, and our technical experts, to create and implement effective AI strategies that align with our clients' business goals. This role is pivotal in cultivating strong relationships, identifying opportunities for growth, and delivering impactful solutions that transform businesses. Key Responsibilities … Lead AI consulting engagements focusing on transformation and operational improvements Collaborate with clients to identify their business challenges and develop AI-driven strategies to address them Deliver technical presentations and workshops to clients, demonstrating the capabilities and benefits of AI solutions Work closely with cross-functional teams to develop innovative AI solutions More ❯

Hybrid role based in London Role Overview The Data Scientist role will be responsible for designing, developing, and implementing advanced AI and machine learning models, utilizing both traditional and emerging approaches to address complex business challenges. This position is well-suited for with a PhD/Masters or equivalent in Statistics, Machine Learning, or Artificial Intelligence with a … and cutting-edge Large Language Models in business settings. This is a high-impact role that blends hands-on model development with practical leadership in scaling ML/AI systems across the business. This position reports to the Chief Risk Officer and collaborates closely with engineering, product, and risk teams to ensure robust and impactful solutions. About Uncapped … Python, SQL, and one of Pytorch, Tensorflow, Scikit-learn, with daily experience in writing, debugging, and optimising code. ML Ops Knowledge: Familiarity with tools like MLflow, Kubeflow, or Vertex AI, and experience implementing CI/CD pipelines for machine learning. Understanding of Financial Services: Financial Services understanding is a plus, ideally in a lending environment. Strong More ❯

a Staff Machine Learning Engineer, you’ll play a pivotal role in designing, scaling, and evolving the machine learning infrastructure that powers Compare the Market’s most ambitious AI products. From LLM-based personalisation to real-time optimisation systems, you’ll help define how models are developed, deployed, and maintained in production—reliably and responsibly. This is a … to lead delivery of complex ML systems. You’ll also define the core MLOps capabilities for the business and establish the standards and patterns that accelerate safe, scalable AI deployment across teams. Everyone is welcome! We have a culture of creativity. We approach our work passionately, improve constantly and celebrate our wins at every turn. We are an … production with clear interfaces and robust engineering • Lead cross-team technical design sessions and architectural reviews • Provide mentorship, pair programming, and code reviews for other engineers across the AI function Innovation & Culture • Stay ahead of developments in MLOps, LLM infrastructure, and AI engineering best practices • Influence long-term strategic direction for ML tooling and delivery across More ❯

a Staff Machine Learning Engineer, you’ll play a pivotal role in designing, scaling, and evolving the machine learning infrastructure that powers Compare the Market’s most ambitious AI products. From LLM-based personalisation to real-time optimisation systems, you’ll help define how models are developed, deployed, and maintained in production—reliably and responsibly. This is a … to lead delivery of complex ML systems. You’ll also define the core MLOps capabilities for the business and establish the standards and patterns that accelerate safe, scalable AI deployment across teams. Everyone is welcome! We have a culture of creativity. We approach our work passionately, improve constantly and celebrate our wins at every turn. We are an … production with clear interfaces and robust engineering Lead cross-team technical design sessions and architectural reviews Provide mentorship, pair programming, and code reviews for other engineers across the AI function Innovation & Culture Stay ahead of developments in MLOps, LLM infrastructure, and AI engineering best practices Influence long-term strategic direction for ML tooling and delivery across More ❯

essential. Highly driven and customer-focused individual with up-to-date knowledge in the Data & Analytics sector. Advanced expertise in Cloud SQL, Informatica, Tableau, Google Products (BigQuery, Composer, Vertex AI), and APIs. Proficient in Medallion architecture, including design and delivery of its components with ACORD influenced standards. Knowledge in in-memory, appliances, event processing, cloud solutions More ❯

pipelines using Google Cloud Dataflow (Apache Beam) or similar technologies. GCP Stack: Hands-on expertise with BigQuery , Cloud Storage , Pub/Sub , and orchestrating workflows with Composer or Vertex Pipelines. Data Architecture & Modelling: Ability to translate diverse business requirements into scalable data models and architect a data lake/lakehouse environment on GCP. Engineering Best Practices: Proficiency with More ❯

pipelines using Google Cloud Dataflow (Apache Beam) or similar technologies. GCP Stack: Hands-on expertise with BigQuery , Cloud Storage , Pub/Sub , and orchestrating workflows with Composer or Vertex Pipelines. Data Architecture & Modelling: Ability to translate diverse business requirements into scalable data models and architect a data lake/lakehouse environment on GCP. Engineering Best Practices: Proficiency with More ❯

pitstop scaling, and pricing Building operational and financial models to simulate trade-offs between cost, quality, and growth across the network Structuring fragmented datasets into usable insight using AI and programmatic approaches Embedding forecasting and planning models into live tooling used by operators, analysts, and finance teams Supporting strategic planning for new zone launches, infrastructure investment, and client … with senior stakeholders, working across functions and disciplines to drive impact Nice to haves Experience working in logistics, marketplaces, or similarly complex operational businesses Experience using LLMs or AI tools to structure and extract meaning from unstructured data Experience automating workflows and deploying model pipelines (e.g. MLFlow, GCP Vertex, Airflow, dbt or similar) Exposure to business … cover Enhanced Parental Leave: 20 weeks of fully paid maternity leave 4 weeks of fully paid paternity leave Contributory pension scheme Friday office lunches Access to cutting-edge AI tooling Hybrid working from our dog-friendly Shoreditch office Free gym membership via our co-working spaces Cycle-to-work scheme Regular team socials, events, and offsites More ❯

Role: AI/ML Computational Science Manager Location: London Salary: Competitive salary and package dependent on experience Career Level: Manager (CL7) Accenture is a leading global professional services company, providing a broad range of services in strategy and consulting, interactive, technology and operations, with digital capabilities across all of these services. With our thought leadership and culture of … in which we work and live. It is personal to all of us." - Julie Sweet, Accenture CEO As a team: Working across industry groups, our Centre for Advanced AI team combines deep technology, business and industry expertise to design and deliver some of the largest, most challenging and highest profile technology solutions in the world. You'll work … on innovative projects with colleagues to drive collaboration from strategy through to implementation. You will be using the latest technologies, with a particular focus on AI and GenAI, with clients to help them get to the next level. You'll learn, grow and advance in an innovative culture that thrives on shared success, diverse ways of thinking and More ❯

our production infrastructure and GCP for most of our data infrastructure. Feast for storing our features along a variety of tools to train and deploy models. GPT and Vertex models for Large Language Model support. We'd love to hear from you if You have a track record of technical excellence, delivering resilient systems, ideally behind consumer products. … specific questions or want to talk through reasonable adjustments ahead of or during application please us at any point on We have some guidelines on using Artificial Intelligence (AI) to ace an application and interview at Monzo. You can read them here . Please also use that email to let us know if there's anything we can More ❯

London, United Kingdom Posted on 21/04/2025 Job Description Coreloops is a modern financial management system, powered by AI, that helps construction contractors to automate cost tracking and get real-time insights on project spend. Coreloops automates hours of manual cost reconciliation so project teams can flag overspend earlier and see which cost categories are … Experience for our growing customer base. Collaborate with the founder to define project goals, scope, and technical requirements, ensuring alignment with customer needs. Explore how we can use AI model improvements to streamline our customers' day-to-day operations. Provide technical guidance, architectural expertise, and code reviews to maintain a robust and maintainable codebase. Requirements Experience working in … new platforms from scratch. Passionate about writing code that solves problems for customers. A strong sense of the need to balance speed with code quality. Experience building on AI models such as Vertex AI, OpenAI, or Llama (not required). Experience building integrations either via an IPaaS or directly, ideally with accounting & project management More ❯