3 of 3 Machine Learning Jobs in Brighton

Campus - Full Time - AI Engineer - 2027 (UK - Burgess Hill)

Hiring Organisation
American Express
Location
Brighton, East Sussex, UK
Employment Type
Full-time
deliver enterprise AI solutions responsibly, reliably, and securely. ResponsibilitiesResponsibilities & What Type of Work to Expect: Support the development, testing, and integration of AI/ML models, LLM integrations, intelligent services, or data retrieval pipelines under guidance. Assist with data collection, preprocessing, transformation, and validation to support model training, testing, evaluation … modern AI systems, including LLM APIs, prompt-based interactions, retrieval patterns, AI powered tools, or generative AI applications. Ability to support AI/ML development, testing, documentation, integration, or data pipeline activities under guidance. Awareness of responsible AI expectations, including reliability, safety, governance, security, privacy, compliance, and appropriate escalation when ...

Campus - Full Time - Software Engineer - 2027 (UK - Burgess Hill)

Hiring Organisation
American Express
Location
Brighton, East Sussex, UK
Employment Type
Full-time
deliver trusted, secure, and customer-first products and services. Software Engineers may support teams across backend engineering, frontend engineering, cloud engineering, mobile, AI/machine learning, data-oriented engineering, infrastructure-adjacent engineering, or full-stack product development. You will design, code, test, improve, and support applications and services … stack, such as APIs, services, microservices, user interfaces, mobile experiences, cloud platforms, or data-driven solutions. Explore responsible use of AI-powered developer tools, machine learning concepts, and intelligent automation relevant to your team's work. Participate in graduate program learning, mentorship, networking, community, and career-development ...

Principal Architect, Enterprise Architecture

Hiring Organisation
American Express
Location
Brighton, East Sussex, UK
Employment Type
Full-time
degree in computer science, computer science engineering, or related field required; advanced degree preferred. Experience defining or implementing enterprise AI architecture, including generative AI, machine learning, intelligent automation, or agentic systems. Deep understanding of production-grade and scalable AI system considerations, including scalability, latency, reliability, security, observability, evaluation ...