Senior AI/ML Engineer

Ai-powered
Basingstoke, UK
1 day ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Compensation
£90,000.0 - £110,000.0
Working hours
Regular working hours

Tech stack

Artificial Intelligence Amazon Web Services Microsoft Azure Software as a Service Cloud Computing Continuous Integration Python (Programming Language) Machine Learning Recommender Systems Software Engineering Systems Architecture Systems Integration
+10 more
Google Cloud Spring Cloud Large Language Models Multi-Agent Systems Prompt Engineering Model Validation Generative AI Containerization Kubernetes Machine Learning Operations

Job description

shape the future of our technology, mentor talented engineers, and establish best practices for building responsible, scalable AI solutions. What You’ll Do Define and deliver the technical vision for AI across our learning platform. Architect and build scalable AI services using large language models, machine learning, and modern cloud technologies. Develop intelligent learning experiences including personalised learning journeys, AI tutors, content generation, assessment, recommendations, and learner support tools. Build production-ready AI systems with a strong focus on quality, reliability, security, and performance. Collaborate closely with Product, Learning Design, Data Science, and Engineering teams to deliver customer-focused solutions. Evaluate emerging AI technologies and identify opportunities to improve learner engagement and educational outcomes. Establish engineering standards, AI governance, and best practices across the organisation. Mentor senior engineers and help grow a

Requirements

high-performing AI engineering capability.What We’re Looking For Essential Extensive experience building and deploying AI or machine learning products in production. Expert-level software engineering skills, particularly in Python. Strong experience with LLMs, Retrieval-Augmented Generation (RAG), AI agents, prompt engineering, and model evaluation. Experience building cloud-native applications on Azure, AWS, or Google Cloud. Strong understanding of MLOps, CI/CD, Kubernetes, containerisation, and scalable system architecture. Experience integrating AI into customer-facing products. Excellent communication skills with the ability to influence technical and non-technical stakeholders. Proven experience leading technical teams and mentoring engineers.Desirable Experience within EdTech, SaaS, or digital consumer products. Knowledge of adaptive learning, recommendation systems, or educational analytics. Experience with LangChain, LlamaIndex, vector databases, and AI orchestration frameworks. Understanding of responsible AI, privacy, and ethical AI development. Passion for improving education through technology.Reference: AMC/DJA/SAIML #dajaJBRP1_UKTJ

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