15 of 15 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 ❯

My Financial Services client is seeking to recruit a AI Engineer on an initial 6 month contract based in London. It is hybrid and will require 3x days onsite per week. As a Back-End AI Engineer, you will design and deploy secure, scalable AI services that power next-generation use cases across client … intelligence, document processing, and risk management. You'll work in a greenfield environment, building compliant AI pipelines using Gemini (GCP), Azure OpenAI or Self Hosting embedding security and privacy controls from experimentation to production, in alignment with the bank's cybersecurity and regulatory standards. Accountabilities & Responsibilities Architect and implement secure AI services from lab to production … directly with cybersecurity and compliance teams in regulated deployments Implemented or maintained controls under ISO 27001, NIST, or SOC2 frameworks Technical Skills & Technologies: Languages & Frameworks Python (FastAPI), LangChain, Google AI SDK, Azure Open AI SDK Cloud & AI Platforms GCP: Vertex AI, Gemini API, Cloud Run, GCS, IAM, Secret Manager, Audit More ❯

My Financial Services client is seeking to recruit a AI Engineer on an initial 6 month contract based in London. It is hybrid and will require 3x days onsite per week. As a Back-End AI Engineer, you will design and deploy secure, scalable AI services that power next-generation use cases across client … intelligence, document processing, and risk management. You'll work in a greenfield environment, building compliant AI pipelines using Gemini (GCP), Azure OpenAI or Self Hosting embedding security and privacy controls from experimentation to production, in alignment with the bank's cybersecurity and regulatory standards. Accountabilities & Responsibilities Architect and implement secure AI services from lab to production … directly with cybersecurity and compliance teams in regulated deployments Implemented or maintained controls under ISO 27001, NIST, or SOC2 frameworks Technical Skills & Technologies: Languages & Frameworks Python (FastAPI), LangChain, Google AI SDK, Azure Open AI SDK Cloud & AI Platforms GCP: Vertex AI, Gemini API, Cloud Run, GCS, IAM, Secret Manager, Audit 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 ❯

Applied AI Engineer Marlow/High Wycombe, UK (hybrid) | Full-Time | Permanent | £50,000 to £100,000 (DOE) I am currently recruiting for a global leader in designing and manufacturing of audio and content creation tools, from microphones to audio interfaces, using AI technologies to enhance the future of audio and video processing. We are looking … for an Applied AI Engineer to design, implement, and optimise AI solutions that enhance internal business operations. You will take existing AI models (LLMs, speech models, document intelligence, etc.), fine-tune them on company data, and integrate them into usable tools for their teams. What You'll Do: Fine-tune and adapt existing AI … Speech/audio models (ASR, diarization, TTS) or document intelligence (OCR, NER). Knowledge of ML Ops (experiment tracking, monitoring, CI/CD for ML). Familiarity with cloud AI services (AWS Sagemaker, GCP Vertex AI, Azure ML). Exposure to business process improvement or automation. If this role is of interest and you More ❯

Lead AI Solutions Architect 6 Month initial contract (Hybrid/London) Up to 750 per day Inside IR35 Government client Overview We are seeking a highly experienced Lead AI Solutions Architect to spearhead the design and implementation of scalable AI solutions and develop Target Operating Models (TOMs) that align with strategic goals. This role … is pivotal in accelerating the adoption of transformative AI tools across government departments, ensuring ethical, secure, and impactful delivery. Key Responsibilities Architect enterprise-level AI frameworks and solutions. Design and implement Target Operating Models for AI integration. Ensure compliance with government standards and security protocols. Collaborate with senior stakeholders to align AI strategy with business goals. Contribute to reusable architecture patterns and internal capability uplift. Mentor teams and support cross-government alignment of AI initiatives. Required Experience & Skills Proven experience scaling AI solutions in complex, regulated environments. Deep understanding of the AI/ML lifecycle, model governance, and ethical AI. Hands-on experience with More ❯

with regular travel to HQ) Full-time | Permanent £55,000 £65,000 DOE + Benefits + Bonus crooton is an award-winning recruitment technology company building next-generation, AI-powered, multi-tenancy SaaS platforms for employers across the globe. Were looking for two talented Full Stack Engineers to join our high-performing team. Youll be working on innovative … your adaptability will be just as valuable as your technical skills. Key Responsibilities Design, develop, and maintain features for multi-tenancy SaaS platforms in recruitment and marketing. Use AI-assisted tools (Copilot, ChatGPT, Gemini, etc.) to write, test, and debug code faster and more effectively. Collaborate with product managers, designers, and developers to deliver quality features on time. … and sprints. Communicate clearly and confidently with colleagues, stakeholders, and clients. Essential Skills & Experience Proven experience delivering multi-tenancy SaaS platforms in a commercial environment. Demonstrated use of AI-assisted development tools to improve speed and quality. Knowledge of Python (Flask/FastAPI/Django) and/or JavaScript (Node.js, Vue.js, React). Solid database experience ( PostgreSQL/ More ❯

travel to HQ in Peterborough) Full-time | Permanent £55,000 £65,000 DOE + Benefits + Bonus crooton is an award-winning recruitment technology company building next-generation, AI-powered, multi-tenancy SaaS platforms for employers across the globe. Were looking for two talented Full Stack Engineers to join our high-performing team. Youll be working on innovative … your adaptability will be just as valuable as your technical skills. Key Responsibilities Design, develop, and maintain features for multi-tenancy SaaS platforms in recruitment and marketing. Use AI-assisted tools (Copilot, ChatGPT, Gemini, etc.) to write, test, and debug code faster and more effectively. Collaborate with product managers, designers, and developers to deliver quality features on time. … and sprints. Communicate clearly and confidently with colleagues, stakeholders, and clients. Essential Skills & Experience Proven experience delivering multi-tenancy SaaS platforms in a commercial environment. Demonstrated use of AI-assisted development tools to improve speed and quality. Knowledge of Python (Flask/FastAPI/Django) and/or JavaScript (Node.js, Vue.js, React). Solid database experience ( PostgreSQL/ More ❯

My Financial Services client is seeking to recruit an AI Engineer (front end) on an initial 6 month contract based in London. It is hybrid and will require 3x days onsite per week. This is a development-heavy position focused on delivering production-ready user interfaces for AI-powered tools and GenAI applications. You'll work … UX/UI designs into modular, reusable components aligned with enterprise design systems. Integrate front-end applications with REST/GraphQL APIs, WebSockets, and backend services. Collaborate with AI engineers, backend developers, and cloud architects to deliver end-to-end solutions. Ensure compliance with cybersecurity and data privacy standards through secure coding practices and regular code reviews. Deploy … UI development. Demonstrated ability to build front-end applications from scratch in greenfield or innovation lab settings. Experience developing interactive UIs, dashboards, chat interfaces, and data visualizations for AI-powered tools. Skilled in integrating front-end applications with APIs (REST, GraphQL, WebSockets) and backend services. Deep understanding of front-end security practices (e.g., OWASP, CSP, input sanitization, role More ❯

My Financial Services client is seeking to recruit an AI Engineer (front end) on an initial 6 month contract based in London. It is hybrid and will require 3x days onsite per week. This is a development-heavy position focused on delivering production-ready user interfaces for AI-powered tools and GenAI applications. You'll work … UX/UI designs into modular, reusable components aligned with enterprise design systems. Integrate front-end applications with REST/GraphQL APIs, WebSockets, and backend services. Collaborate with AI engineers, backend developers, and cloud architects to deliver end-to-end solutions. Ensure compliance with cybersecurity and data privacy standards through secure coding practices and regular code reviews. Deploy … UI development. Demonstrated ability to build front-end applications from scratch in greenfield or innovation lab settings. Experience developing interactive UIs, dashboards, chat interfaces, and data visualizations for AI-powered tools. Skilled in integrating front-end applications with APIs (REST, GraphQL, WebSockets) and backend services. Deep understanding of front-end security practices (e.g., OWASP, CSP, input sanitization, role More ❯

containerisation & use of tools like Docker & Docker Compose Nice-to-haves (Mix of the following but not all essential): * Experience working with Google Cloud products for ML including Vertex AI Pipelines & BigQuery * Experience with dbt (data build tool) * Previous experience working with advertising data * Experience with FastAPI or other Python API frameworks * Experience with dashboarding tools More ❯

Google Cloud Platform and/or Azure Cloud Services (DataFactory, Functions, SSIS) Hands-on experience with Databricks (GCP or Azure) Experience deploying and maintaining ML models (e.g., MLflow, Vertex AI, Azure ML) Beneficial Experience with Spark and other distributed data processing frameworks Exposure to MLOps tooling for orchestration, CI/CD, and monitoring Experience with Elasticsearch 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 ❯

in data science, with a focus on machine learning model development/Large Language Model (LLM) application development. Experience deploying Generative AI applications to production in GCP (VertexAI) or AWS (Bedrock). Demonstrable experience monitoring the performance and output quality of generative models, including assessing/mitigating hallucinations and coherence of generated content. Desirables: Experience fine-tuning large More ❯

key skills: Significant experience working as a Data Scientist/Machine Learning Engineer Solid knowledge of SQLandPython's ecosystem for data analysis (Jupyter, Pandas, Scikit Learn, Matplotlib). GCP, VertexAI experience is desirable (developing GCP machine learning services) Timeseries forecasting Solid understanding of computer science fundamentals, including data structures, algorithms, data modelling and software architecture Strong knowledge of Machine Learning … etc.) as well as state-of-the-art research area (e.g. NLP, Transfer Learning etc.) and modern Deep Learning algorithms (e.g. BERT, LSTM, etc.) Machine Learning Engineer, timeseries, forecasting, VertexAI, GCP Reasonable Adjustments: Respect and equality are core values to us. We are proud of the diverse and inclusive community we have built, and we welcome applications from people of More ❯