1 to 25 of 32 Remote Vertex AI Jobs in England

Head of AI/AI Architect/AI Team Lead Remote (Candidate must be based in the UK) £65k-£80k + solid bonus + potential for equity. A leading technology driven business is seeking an exceptional AI leader to shape, scale and take ownership of their AI strategy, both internally … and their client offering. This role sits at the intersection of cutting edge research and enterprise impact, leading the delivery of transformative AI systems across multiple business domains,including LLMs, multimodal AI, generative models, and autonomous agents. The role is remote working with Adhoc travel within the UK for client meetings, workshops etc. Your role will … involve: Building, scaling and leading a high performance team of machine learning engineers, AI researchers, and data scientists, driving end-to-end AI solution delivery. Designing and implementing AI architectures across cloud and on-prem environments, leveraging tools like PyTorch, TensorFlow, and Hugging Face. Spearheading the development of production ready AI models 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 ❯

week on-site in Central London. If you're passionate about Google Cloud Platform (GCP), have a strong DevOps background, and are excited by the potential of emerging Google AI technologies, this is your chance to make a real impact. Role Overview You'll work closely with the Head of Emerging Technology and Head of Development to evolve … challenges. This role is ideal for someone who thrives at the intersection of cloud engineering and AI innovation. Key Responsibilities AI Integration: Leverage emerging Google AI technologies (e.g., Vertex AI, GenAI tools) to develop intelligent solutions that drive business value. Cloud Development: Design, build, and optimise scalable systems and services … or Cloud Engineer working within GCP environments. Strong DevOps expertise, including CI/CD, containerisation (Docker/Kubernetes), and Infrastructure as Code (Terraform). Hands-on experience with Google AI/ML tools, such as Vertex AI, AutoML, or GenAI APIs. Proficiency in Python or similar languages used in AI/ML More ❯

Company description: ClearCourse Job description: AI Transformation Lead | ClearCourse Location: London Reports to: Group Operations Director Type: Full-Time | Permanent Are you ready to lead the charge in transforming how businesses harness the power of AI and automation? At ClearCourse , we're on a mission to unlock the full potential of artificial intelligence across our diverse … software businesses and integrated payment solutions. Backed by private equity and growing fast, we’re seeking a strategic and forward-thinking AI Transformation Lead to spearhead this evolution. In this high-impact, cross-functional leadership role, you’ll define our AI vision, champion responsible innovation, and deliver real business value through scalable AI and … the future of work and driving meaningful change through technology, we want to hear from you. What You’ll Do: Lead Strategy: Define and own our enterprise-wide AI and automation roadmap aligned with business goals. Drive Impact: Identify and prioritise high-value use cases involving GenAI, LLMs, RPA, and intelligent agents. Deliver Solutions: Oversee the development and More ❯

Press Tab to Move to Skip to Content Link Select how often (in days) to receive an alert: AI Transformation Lead ClearCourse Location: London Reports to: Group Operations Director Type: Full-Time Permanent Are you ready to lead the charge in transforming how businesses harness the power of AI and automation? At ClearCourse , we're on … potential of artificial intelligence across our diverse software businesses and integrated payment solutions. Backed by private equity and growing fast, we're seeking a strategic and forward-thinking AI Transformation Lead to spearhead this evolution. In this high-impact, cross-functional leadership role, you'll define our AI vision, champion responsible innovation, and deliver real business … value through scalable AI and automation solutions. If you're passionate about shaping the future of work and driving meaningful change through technology, we want to hear from you. What You'll Do: Lead Strategy: Define and own our enterprise-wide AI and automation roadmap aligned with business goals. Drive Impact: Identify and prioritise high-value More ❯

with management of regular commercial freight logistics and specialising in providing comprehensive services for the movement of high-niche market products, are looking to recruit a talented Technology & AI Projects Manager to be based at offices in the London Heathrow area. On Offer: An opportunity to join a world class logistics company with great potential for future growth … the role: Our client is embarking on a multi‐year digital transformation. Implementing new EDI/API connections, enhancing the company’s Transport Management System (TMS), launching an AI‐enabled customer portal, and embedding data‐driven decision‐making across the organisation. Reporting to the CEO (and dotted line to COO/Head of IT) The Technology & AI …/AI), SQL Cloud & DevOps: AWS/Azure/GCP services, CI/CD pipelines, Docker/Kubernetes AI/ML Tooling: Familiarity with cloud AI services (SageMaker, Vertex AI, Azure AI) and ML lifecycle management Data: Relational & NoSQL databases, data modelling, ETL/ELT, BI tools Strategic More ❯

with management of regular commercial freight logistics and specialising in providing comprehensive services for the movement of high-niche market products, are looking to recruit a talented Technology & AI Projects Manager to be based at offices in the London Heathrow area. On Offer: An opportunity to join a world class logistics company with great potential for future growth … the role: Our client is embarking on a multi‐year digital transformation. Implementing new EDI/API connections, enhancing the company’s Transport Management System (TMS), launching an AI‐enabled customer portal, and embedding data‐driven decision‐making across the organisation. Reporting to the CEO (and dotted line to COO/Head of IT) The Technology & AI …/AI), SQL Cloud & DevOps: AWS/Azure/GCP services, CI/CD pipelines, Docker/Kubernetes AI/ML Tooling: Familiarity with cloud AI services (SageMaker, Vertex AI, Azure AI) and ML lifecycle management Data: Relational & NoSQL databases, data modelling, ETL/ELT, BI tools Strategic More ❯

Responsibilities: Design, build, and deploy scalable machine learning models for ad targeting, user segmentation, conversion prediction, and content personalization. Develop production-grade ML pipelines leveraging GCP services like Vertex AI, BigQuery, Dataflow, and Pub/Sub. Collaborate cross-functionally with Data Science, Data Engineering, and Product teams to translate business objectives into ML solutions. Research and … standards for documentation, security, and model explainability in compliance with industry regulations (GDPR, CCPA, etc.). Participate in architecture design sessions and provide input into strategic decisions regarding AI/ML tooling and GCP adoption. About You: Experience: 5+ years of experience in machine learning engineering, preferably in Ad Tech, Mar Tech, or related high-scale environments. Strong … proficiency in Python and ML frameworks (TensorFlow, PyTorch, Scikit-learn). Deep understanding of supervised, unsupervised, and reinforcement learning methods. Experience with GCP services such as Vertex AI, BigQuery ML, Dataflow, AI Platform Pipelines, and Dataproc. Solid knowledge of distributed systems, data streaming (e.g., Apache Beam, Kafka), and large-scale data processing. ML Ops More ❯

Responsibilities: Design, build, and deploy scalable machine learning models for ad targeting, user segmentation, conversion prediction, and content personalization. Develop production-grade ML pipelines leveraging GCP services like Vertex AI, BigQuery, Dataflow, and Pub/Sub. Collaborate cross-functionally with Data Science, Data Engineering, and Product teams to translate business objectives into ML solutions. Research and … standards for documentation, security, and model explainability in compliance with industry regulations (GDPR, CCPA, etc.). Participate in architecture design sessions and provide input into strategic decisions regarding AI/ML tooling and GCP adoption. About You: Experience: 5+ years of experience in machine learning engineering, preferably in Ad Tech, Mar Tech, or related high-scale environments. Strong … proficiency in Python and ML frameworks (TensorFlow, PyTorch, Scikit-learn). Deep understanding of supervised, unsupervised, and reinforcement learning methods. Experience with GCP services such as Vertex AI, BigQuery ML, Dataflow, AI Platform Pipelines, and Dataproc. Solid knowledge of distributed systems, data streaming (e.g., Apache Beam, Kafka), and large-scale data processing. ML Ops More ❯

for thousands of customers. We utilize a range of algorithms and methods to do this including: Bayesian statistics and supervised learning to model conversion rates and revenue Scaled AI/ML with Tensorflow/Vertex AI to model a travelers propensity to book Time series forecasting As a part of the Science and Optimization … production development to A/B testing and measurement. This provides each team member the opportunity to gain additional experience with a range of technologies such as Tensorflow, Vertex AI, Docker and the Google Cloud Platform. Note that this role requires availability to work later business hours, with a regular schedule ending at 7:00 PM More ❯

to identify technical gaps, scope backend development efforts, and deliver core platform capabilities such as: Model training orchestration. CI/CD for ML (e.g., using MLflow, Kubeflow, or Vertex AI Pipelines). Model versioning, monitoring, and governance. Enable high-impact AdTech use cases including: Marketing Mix Modelling (MMM). Real-time personalisation and bidding. Audience segmentation … in a cloud-native environment. Strong understanding of programmatic advertising, attribution modelling, campaign measurement, and media mix optimisation. Familiarity with cloud platforms (especially GCP) and tools like BigQuery, Vertex AI, Dataflow, Airflow, and dbt. Excellent communication and stakeholder management skills, with the ability to align cross-functional teams around a shared vision. If you are interested More ❯

challenges into elegant technical solutions. Key Responsibilities Rapid Prototyping: Build POCs and MVPs to validate ideas quickly. End-to-End Development: Leverage GCP services like Cloud Functions, BigQuery, Vertex AI, GKE, and more. DevOps & IaC: Implement CI/CD pipelines and manage infrastructure using Terraform. Collaboration: Partner with cross-functional teams to translate business needs into … hands-on experience with GCP development and architecture. Strong programming skills in Python (preferred), Java, or Go. Expertise in Docker, Kubernetes, and GCP services like BigQuery, Cloud Run, Vertex AI, and Pub/Sub. Solid understanding of CI/CD, Terraform, and Git-based workflows. Excellent communication skills and a collaborative mindset. Desirable Experience Google Cloud … extension) To apply for this role please submit your CV or contact David Airey on or at . Tenth Revolution Group are the go-to recruiter for Data & AI roles in the UK offering more opportunities across the country than any other recruitment agency. We're the proud sponsor and supporter of SQLBits, Power Platform World Tour, and More ❯

Generative & Agentic AI Engineer - Google/GCP focus Location: London (remote-first) Salary: £80,000 – £130,000 (DOE) + 10% bonus We’re hiring a highly skilled and innovation-driven Generative & Agentic AI Engineer with a Google/GCP focus and who has personal, tangible credibility working with Google, to join a forward-thinking AI … 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 … or Autogen. 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) + 10% bonus We’re hiring a highly skilled and innovation-driven Generative & Agentic AI Engineer with a Google/GCP focus and who has personal, tangible credibility working with Google, to join a forward-thinking AI … 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 … or Autogen. 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 ❯

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 Vertex AI 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 Vertex AI 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 ❯

job is brought to you by Jobs/Redefined, the UK's leading over-50s age inclusive jobs board. Location: Hybrid (London/Peterborough/Hybrid) Function: Data & AI Reports to: Director of Data & AI Solutions Why this role matters We're building the future of how people make financial decisions - and AI is … MLE, you'll lead our advanced analytics and machine learning teams, shaping strategy, driving delivery, and building the next generation of intelligent products. From dynamic pricing to agentic AI and LLMs, this is a pivotal role in bringing our AI strategy to life. This is more than a technical leadership role. You'll bring academic depth … best work with focus, clarity, and accountability. What you'll be doing Lead and scale our Data Science and Machine Learning Engineering teams, setting a clear direction for AI and advanced analytics at Compare the Market. Oversee the development and deployment of classic machine learning solutions and modern AI applications, supporting a range of use cases More ❯

Robert Half Technology are assisting a market leading financial services (fintech) organisation to recruit a AI Engineer on a contract basis - Hybrid working - London based The AI Engineer will join a cross-functional data team to design, develop, and deploy AI/ML models that tackle real business problems - from prediction and automation to … customer personalisation and decision intelligence. You'll play a hands-on role in taking models from concept to production and shaping best practices across the AI lifecycle. Role The AI Engineer will build and deploy scalable machine learning models in a cloud-native environment (AWS, GCP or Azure) Collaborate with data engineers, analysts, and product teams … to translate business needs into AI-driven solutions Contribute to the development of data pipelines and feature engineering workflows Integrate models into production using APIs, batch jobs, or real-time systems Apply best practices around experimentation, evaluation, versioning, and monitoring Contribute to documentation, knowledge sharing, and process improvements Profile The AI Engineer will have a proven More ❯

Robert Half Technology are assisting a market leading financial services (fintech) organisation to recruit a AI Engineer on a contract basis - Hybrid working - London based The AI Engineer will join a cross-functional data team to design, develop, and deploy AI/ML models that tackle real business problems - from prediction and automation to … customer personalisation and decision intelligence. You'll play a hands-on role in taking models from concept to production and shaping best practices across the AI lifecycle. Role The AI Engineer will build and deploy scalable machine learning models in a cloud-native environment (AWS, GCP or Azure) Collaborate with data engineers, analysts, and product teams … to translate business needs into AI-driven solutions Contribute to the development of data pipelines and feature engineering workflows Integrate models into production using APIs, batch jobs, or real-time systems Apply best practices around experimentation, evaluation, versioning, and monitoring Contribute to documentation, knowledge sharing, and process improvements Profile The AI Engineer will have a proven More ❯

Social network you want to login/join with: Machine Learning Ops Engineer - AI, London col-narrow-left Client: Opus 2 Location: London, United Kingdom Job Category: Other - EU work permit required: Yes col-narrow-right Job Reference: 49e4bb405041 Job Views: 2 Posted: 12.07.2025 Expiry Date: 26.08.2025 col-wide Job Description: As Opus 2 continues to embed … AI into our platform, we need robust, scalable data systems that power intelligent workflows and support advanced model behaviours. Were looking for an MLOps Engineer to build and maintain the infrastructure that powers our AI systems. You will be the bridge between our data science and engineering teams, ensuring that our machine learning models are deployed … with product and engineering teams to integrate ML models into our production environment and ensure seamless operation within the broader product architecture. Own the operational aspects of the AI lifecycle, from model deployment and A/B testing to incident response and continuous improvement of production systems. Contribute to our AI strategy and roadmap by providing More ❯

DEPT/AI has a single mission: to make the best work in the industry using AI to enhance everything we do. This role sits within our EMEA Data & AI practice, which has deep expertise in leveraging AI. The team includes data strategists, consultants, data scientists and analysts that work alongside DEPT teams around … of experts to solve complex business challenges using cutting-edge technologies. KEY RESPONSIBILITIES Design data-driven solutions tailored to client challenges, leveraging advanced analytical methods, ML models, and AI technologies to deliver business value. Build predictive models to assess media effectiveness, forecast customer behavior, and recommend personalized content or products, informed by a deep understanding of customer journeys … PyTorch, XGBoost, LightGBM, or similar Strong SQL skills and experience with data warehousing solutions (Snowflake, BigQuery, Redshift) Experience with cloud platforms (AWS, Azure, GCP) and their ML and AI services (SageMaker, Azure ML, Vertex AI) Knowledge of MLOps tools including Docker, MLflow, Kubeflow, or similar platforms Experience with version control (Git) and collaborative development 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 ❯

it simple to switch and save money and thats why good things happen when you meerkat. Wed love you to be part of our journey! Were 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, youll … who can lead people, deliver at pace, and contribute to system design and platform standards. Youll 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 … improvement Lead hiring, onboarding, and team capability development initiatives What wed 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 ❯

journey! As a Staff Machine Learning Engineer, youll play a pivotal role in designing, scaling, and evolving the machine learning infrastructure that powers Compare the Markets most ambitious AI products. From LLM-based personalisation to real-time optimisation systems, youll help define how models are developed, deployed, and maintained in productionreliably and responsibly. This is a high-impact … engineering to lead delivery of complex ML systems. Youll 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 ❯

journey! As a Staff Machine Learning Engineer, youll play a pivotal role in designing, scaling, and evolving the machine learning infrastructure that powers Compare the Markets most ambitious AI products. From LLM-based personalisation to real-time optimisation systems, youll help define how models are developed, deployed, and maintained in productionreliably and responsibly. This is a high-impact … engineering to lead delivery of complex ML systems. Youll 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 ❯