5 of 5 Remote Contract Vertex AI Jobs

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 ❯

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 ❯

We are working with a central government client to find a Lead AI Solution Architect who can design and deliver scalable, ethical AI solutions that align with strategic goals and national standards. This is a deeply technical role for someone who enjoys being a doer, not just a director. What You'll Be Doing: Designing enterprise … level AI architectures and frameworks Developing and implementing Target Operating Models (TOMs) for AI adoption Defining architectural guardrails and technical standards Leading the hands-on delivery of AI solutions in regulated environments Collaborating with senior stakeholders to align AI strategy with business goals Contributing to reusable architecture patterns and internal capability uplift … directing teams. Ability to operate as a 'doer' - Must be capable of rolling up sleeves and contributing technically, not just coordinating efforts. Tech Stack & Experience: AWS Bedrock, Azure AI Foundry, Google Vertex, open-source AI/ML stacks Deep understanding of the AI/ML lifecycle, model governance, and ethical AI 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 ❯