8 of 8 DemandTrendContract Vertex AI Jobs

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 ❯

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 Modeling (MMM) Real-time personalization and bidding Audience segmentation and targeting … in a cloud-native environment. Strong understanding of programmatic advertising, attribution modeling, campaign measurement, and media mix optimization. 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. Please send in latest 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 ❯

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 ❯

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 ❯