51 to 75 of 91 Vertex AI Jobs in the UK

+ Car Allowance + 18% Bonus + Equity Are you an accomplished product leader ready to define how world-class compute, infrastructure, and DevOps platforms power AI and scientific discovery at global scale? We’re partnering with a pioneering research-driven organisation investing heavily in AI, ML, and next-generation cloud infrastructure , now seeking a Director … a portfolio that underpins one of the world’s most advanced digital R&D ecosystems. 💡 Why this role? Lead the product strategy and roadmap for platform services enabling AI, ML, and data-driven science. Build and mentor a team of high-performing Product Managers , setting standards for excellence and delivery. Collaborate with engineering, data science, and research leaders … be doing: Defining and executing the platform product roadmap across compute, DevOps, and cloud infrastructure. Partnering with engineering leadership to deliver scalable platform products that enable scientific and AI workloads. Establishing clear goals, metrics, and success criteria for adoption, performance, and business impact. Acting as the senior stakeholder interface, communicating technical strategies to executive and business audiences. Driving More ❯

+ Car Allowance + 18% Bonus + Equity Are you an accomplished product leader ready to define how world-class compute, infrastructure, and DevOps platforms power AI and scientific discovery at global scale? We're partnering with a pioneering research-driven organisation investing heavily in AI, ML, and next-generation cloud infrastructure , now seeking a Director … a portfolio that underpins one of the world's most advanced digital R&D ecosystems. Why this role? Lead the product strategy and roadmap for platform services enabling AI, ML, and data-driven science. Build and mentor a team of high-performing Product Managers , setting standards for excellence and delivery. Collaborate with engineering, data science, and research leaders … be doing: Defining and executing the platform product roadmap across compute, DevOps, and cloud infrastructure. Partnering with engineering leadership to deliver scalable platform products that enable scientific and AI workloads. Establishing clear goals, metrics, and success criteria for adoption, performance, and business impact. Acting as the senior stakeholder interface, communicating technical strategies to executive and business audiences. Driving More ❯

engineering, and science to turn data into insights that drive clear, measurable business impact. Set direction and standards for data driven product development roadmaps, science led features, and AI product evaluation - balancing hands on technical depth with people leadership and delivery excellence. Team structure Embedded data scientists within product teams, coaching them and setting technical excellence standards; also … science as a decision and empowerment lever , pairing strong technical depth with clean, reproducible, deployable outputs. ️ Our stack BQ/DBT/SQL, Python/FastAPI, GCP/Vertex AI, Kotlin/Spring AI (team dependent). Familiarity with experiment platforms, feature stores/MLFlow, and modern BI/visualisation tools is a plus. … coaching and building a team that values autonomy, psychological safety, and growth. Bring a track record of data driven product decisions and high quality experimentation ; ship ML/AI features where they move the needle. Are fluent in statistics, experiment design, and causal inference ; define the right metrics/instrumentation and guide trade offs. Optimise for reversible decisions More ❯

Job Title: AI Solutions Architect Location: Hybrid (UK-based) About the Role An ambitious and rapidly growing AI consultancy is seeking an AI Solutions Architect to join their team during an exciting phase of expansion. The business partners with globally recognised brands and is guided by world-renowned advisors at the forefront of artificial … role for someone who thrives at the intersection of technology and business. You’ll engage directly with clients to understand their challenges, research innovative approaches, and design tailored AI solutions that drive meaningful results. Key Responsibilities Act as the technical bridge between clients and internal delivery teams Engage with customers to understand business goals and translate them into … technical requirements Research emerging AI technologies to propose the most effective solutions Design scalable, practical AI architectures to solve complex client problems Collaborate with engineers and data specialists to turn concepts into reality Produce technical documentation and present solutions to both technical and non-technical stakeholders Keep pace with new developments across AI, ML More ❯

Job Title: AI Solutions Architect Location: Hybrid (UK-based) About the Role An ambitious and rapidly growing AI consultancy is seeking an AI Solutions Architect to join their team during an exciting phase of expansion. The business partners with globally recognised brands and is guided by world-renowned advisors at the forefront of artificial … role for someone who thrives at the intersection of technology and business. You’ll engage directly with clients to understand their challenges, research innovative approaches, and design tailored AI solutions that drive meaningful results. Key Responsibilities Act as the technical bridge between clients and internal delivery teams Engage with customers to understand business goals and translate them into … technical requirements Research emerging AI technologies to propose the most effective solutions Design scalable, practical AI architectures to solve complex client problems Collaborate with engineers and data specialists to turn concepts into reality Produce technical documentation and present solutions to both technical and non-technical stakeholders Keep pace with new developments across AI, ML More ❯

DevOps Engineer Location: UK Remote SmartCo are currently supporting one of our leading financial services clients on their GenAI transformation programme and are looking for an experienced AWS Cloud AI Engineer to join the team. This is a hands-on engineering role focused on building and optimising AWS-based infrastructure to support AI-driven solutions within … a large, regulated enterprise environment. Key Responsibilities & Skills Deliver end-to-end cloud engineering and infrastructure automation within the GenAI programme. Design and deploy AI infrastructure pipelines — ideally using GitLab or similar CI/CD tools — to deliver AI solutions. Implement and optimise core cloud services: networking, compute, storage, monitoring. Exposure to AWS Bedrock, AWS Kendra … AWS Rekognition, GCP Vertex AI, LangGraph/LangSmith, or Agentic Frameworks (MCP/A2A). Work with Terraform (IaC) and Python for automation/scripting. Operate effectively within large-scale, regulated environments, aligning with compliance and governance standards. Background in financial services or enterprise-scale environments is highly desirable. This is a great opportunity to join More ❯

across multiple industries. As part of a dynamic data platforms team, you'll help organisations unlock the value of their data using the latest cloud-native technologies and AI tools. You'll lead by example, guiding delivery teams and clients through best practices in architecture, strategy, and implementation on Google Cloud. What You'll Do Lead Architectural Design … Partner with delivery teams to ensure solutions align with best practices, cost efficiency, and operational reliability. Act as a Trusted Advisor: Consult with clients on their data and AI strategies, helping them maximise the potential of Google Cloud. Support Pre-Sales and Innovation: Participate in client workshops, scoping sessions, and technical pitches to shape innovative data and AI … have: Strong Google Cloud expertise across BigQuery, Dataplex, Dataproc, Cloud Composer, and Pub/Sub. Professional certification such as Google Cloud Professional Architect (or equivalent). Experience with AI/ML products in GCP, including Vertex AI, Gemini Enterprise, or Dialogflow. Solid infrastructure understanding, covering networking, compute, and security fundamentals. Strong communication skills, able More ❯

related ML frameworks. Strong experience with SQL and BigQuery; familiarity with GCP infrastructure. Comfortable working end-to-end from data exploration through validation and interpretation. Understanding of explainable AI and model governance practices. Exposure to model monitoring and drift detection frameworks. Ability to guide and mentor junior engineers while remaining deeply hands-on. Strong communicator who can bridge … technical and non-technical discussions with credit, risk, and leadership teams. Nice to Have Experience with MLOps tooling (e.g., MLflow, Airflow, Vertex AI, or similar). Familiarity with real-time decisioning systems or lending analytics. What We Offer Ownership of the ML roadmap for a growing fintech with proven traction. Opportunity to shape team direction while More ❯

related ML frameworks. Strong experience with SQL and BigQuery; familiarity with GCP infrastructure. Comfortable working end-to-end from data exploration through validation and interpretation. Understanding of explainable AI and model governance practices. Exposure to model monitoring and drift detection frameworks. Ability to guide and mentor junior engineers while remaining deeply hands-on. Strong communicator who can bridge … technical and non-technical discussions with credit, risk, and leadership teams. Nice to Have Experience with MLOps tooling (e.g., MLflow, Airflow, Vertex AI, or similar). Familiarity with real-time decisioning systems or lending analytics. What We Offer Ownership of the ML roadmap for a growing fintech with proven traction. Opportunity to shape team direction while More ❯

data science, machine learning, or analytics leadership. • Strong understanding of model lifecycle management, experimentation frameworks, and data science governance. • Familiarity with MLOps concepts and tooling (e.g., MLflow, Kubeflow, Vertex AI, SageMaker, Azure ML). • Hands-on experience with data science tools and languages such as Python, R, SQL, and relevant frameworks (e.g., scikit-learn, TensorFlow, PyTorch More ❯

data science, machine learning, or analytics leadership. • Strong understanding of model lifecycle management, experimentation frameworks, and data science governance. • Familiarity with MLOps concepts and tooling (e.g., MLflow, Kubeflow, Vertex AI, SageMaker, Azure ML). • Hands-on experience with data science tools and languages such as Python, R, SQL, and relevant frameworks (e.g., scikit-learn, TensorFlow, PyTorch More ❯

data science, machine learning, or analytics leadership. • Strong understanding of model lifecycle management, experimentation frameworks, and data science governance. • Familiarity with MLOps concepts and tooling (e.g., MLflow, Kubeflow, Vertex AI, SageMaker, Azure ML). • Hands-on experience with data science tools and languages such as Python, R, SQL, and relevant frameworks (e.g., scikit-learn, TensorFlow, PyTorch More ❯

with a Global Digital Transformation Consultancy who are a GCP Solutions Provider. They are seeking a highly motivated and talented graduate to join our team as a Trainee AI Solutions Developer. The successful candidate will play a pivotal role in developing internal AI solutions that we intend to bring to market, and the individual will help … lead the design & development of that work in client projects. This role requires a fast learner with a strong technical background and practical AI experience. Responsibilities Develop and implement internal AI solutions from concept to deployment. Contribute to client projects, applying AI expertise to solve specific business needs. Utilise Google Cloud Platform and Google … Workspace to build efficient and scalable AI-driven productivity tools. Stay abreast of emerging AI technologies and trends to ensure our solutions remain at the forefront of innovation. Collaborate with cross-functional teams to gather requirements, design solutions, and deliver high-quality products. Qualifications Degree: Bachelor's or Master's degree in a STEM (Science, Technology More ❯

with a Global Digital Transformation Consultancy who are a GCP Solutions Provider. They are seeking a highly motivated and talented graduate to join our team as a Trainee AI Solutions Developer. The successful candidate will play a pivotal role in developing internal AI solutions that we intend to bring to market, and the individual will help … lead the design & development of that work in client projects. This role requires a fast learner with a strong technical background and practical AI experience. Responsibilities Develop and implement internal AI solutions from concept to deployment. Contribute to client projects, applying AI expertise to solve specific business needs. Utilise Google Cloud Platform and Google … Workspace to build efficient and scalable AI-driven productivity tools. Stay abreast of emerging AI technologies and trends to ensure our solutions remain at the forefront of innovation. Collaborate with cross-functional teams to gather requirements, design solutions, and deliver high-quality products. Qualifications Degree: Bachelor's or Master's degree in a STEM (Science, Technology 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 ❯

We are working with Fyxer AI, the UK's fastest-growing tech company in the UK, to hire a Senior Data Scientist. Fyxer are building the Cursor for email. Since launching in May 2024, they have gone from $0 to $20m in ARR and raised a $30m Series B from top investors. Hiring small numbers of exceptional people … your own world You work hard, with intensity every day & move incredibly quickly You always challenge the systems you’re in to be better Tech Stack BigQuery GCP Vertex AI Python SQL Compensation and Benefits Up to £140K base salary + equity Private medical and dental insurance Pension 25 days annual leave The opportunity to build … the UK’s fastest-growing AI company with a world-class team Interview Process Initial call with Fyxer team (30 mins) Take-home technical task (60 mins) Final onsite interview (60 mins More ❯

We are working with Fyxer AI, the UK's fastest-growing tech company in the UK, to hire a Senior Data Scientist. Fyxer are building the Cursor for email. Since launching in May 2024, they have gone from $0 to $20m in ARR and raised a $30m Series B from top investors. Hiring small numbers of exceptional people … your own world You work hard, with intensity every day & move incredibly quickly You always challenge the systems you’re in to be better Tech Stack BigQuery GCP Vertex AI Python SQL Compensation and Benefits Up to £140K base salary + equity Private medical and dental insurance Pension 25 days annual leave The opportunity to build … the UK’s fastest-growing AI company with a world-class team Interview Process Initial call with Fyxer team (30 mins) Take-home technical task (60 mins) Final onsite interview (60 mins More ❯

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 role, you’ll design and deploy data models that power decision-making across every area of … 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 ❯

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 role, you’ll design and deploy data models that power decision-making across every area of … 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 ❯

day overall assignment rate to umbrella Fully remote 3-6 month initial Apply today to join a forward-thinking, tech-driven FTSE 100 organisation using data science and AI to enhance customer experience, optimise supply chains and drive sustainable growth. With 40% of sales from sustainable products, this is a company that combines scale, innovation and purpose. As … Engineer. Technical Skills: Strong in SQL and Python (Pandas, Scikit-learn, Jupyter, Matplotlib). Data transformation & manipulation : experience with Airflow, DBT and Kubeflow Cloud: Experience with GCP and Vertex AI (developing ML services). Expertise: Solid understanding of computer science fundamentals and time-series forecasting. Machine Learning: Strong grasp of ML and deep learning algorithms (e.g. More ❯

day overall assignment rate to umbrella Fully remote 3-6 month initial Apply today to join a forward-thinking, tech-driven FTSE 100 organisation using data science and AI to enhance customer experience, optimise supply chains and drive sustainable growth. With 40% of sales from sustainable products, this is a company that combines scale, innovation and purpose. As … Engineer. Technical Skills: Strong in SQL and Python (Pandas, Scikit-learn, Jupyter, Matplotlib). Data transformation & manipulation : experience with Airflow, DBT and Kubeflow Cloud: Experience with GCP and Vertex AI (developing ML services). Expertise: Solid understanding of computer science fundamentals and time-series forecasting. Machine Learning: Strong grasp of ML and deep learning algorithms (e.g. More ❯

just context for a tech agnostic individual at this level) Node.js/JavaScript Go, Python (selective use) Docker, Terraform GitLab Google Cloud (GCE, Cloud Run, BigQuery, Composer, ...) LLM (VertexAI) n8n Cavendish (Recruitment) Professionals Ltd are proud to be an equal opportunity employer and we believe that inclusivity begins with the candidate experience. All qualified applicants will receive consideration for More ❯