4 of 4 Artificial Intelligence Engineering Jobs in Basingstoke

with the ability to balance technical, business, and people considerations.Experience working with data platforms, machine learning workflows, and modern software development practices.Experience with Document Intelligence, AI-powered automation, Agentic AI solutions, DevOps, MLOps, and Responsible AI practices.Preferred QualificationsPrevious experience leading managers, team leads, or highly autonomous technical teams.Experience scaling … organizations through periods of growth and organizational transformation.Master's degree in Computer Science, Data Science, Artificial Intelligence, Engineering, or a related discipline.Experience working within globally distributed organizations and collaborating with international stakeholders.Total Rewards: We understand that rewards are an important consideration as you plan the next ...

ability to balance technical, business, and people considerations. Experience working with data platforms, machine learning workflows, and modern software development practices. Experience with Document Intelligence, AI-powered automation, Agentic AI solutions, DevOps, MLOps, and Responsible AI practices. Preferred QualificationsPrevious experience leading managers, team leads, or highly autonomous technical teams. … Experience scaling organizations through periods of growth and organizational transformation. Master's degree in Computer Science, Data Science, Artificial Intelligence, Engineering, or a related discipline. Experience working within globally distributed organizations and collaborating with international stakeholders. Total Rewards: We understand that rewards are an important consideration ...

Trainee AI Engineer – No Experience Needed Future-proof your career in Artificial Intelligence – starting today. Looking for a career change? Currently employed but want something better? Or maybe you're between jobs and ready for a fresh start? ITOL Recruit's AI Traineeship is designed … skilled professionals. The demand far outstrips supply, which means excellent salaries, flexible working arrangements, and genuine job security. How It Works Step 1 – AI Engineering Fundamentals Start with the basics of AI, including neural networks and large language models, to build a solid foundation in AI engineering. Step ...

commercial models) and optimize execution latency for production AI features. Cross-Functional Upskilling: Lead workshops, design blueprints, and create documentation to empower non-AI engineering teams to build and maintain their own AI-driven features confidently. Rapid Prototyping (PoC to Production): Drive the engineering execution … Engineer, LLMOps Engineer, or Software Architect who has successfully built and scaled AI-powered applications in enterprise SaaS or complex data platforms. AI & Engineering Mastery: Deep technical expertise in Python or Go, semantic search, vector databases (e.g., Pinecone, Milvus, pgvector), orchestration frameworks (LangChain, LlamaIndex), and fine-tuning ...