Generative AI & Machine Learning Engineer
Marks & Spencer Group plc3 months ago
Base Salary
$155k - $215k/yr
Responsibilities
- Lead the end-to-end design, development, and delivery of enterprise AI and machine learning solutions from concept through production deployment.
- Architect scalable, secure, and resilient AI platforms using LLMs, RAG, intelligent agents, and modern machine learning techniques.
- Provide hands-on technical leadership through solution design, implementation, code reviews, production support, and technical decision-making.
- Collaborate with product owners, business stakeholders, architects, and engineering teams to translate requirements into technical solutions.
- Lead technical planning, estimation, sprint execution, and delivery across multiple concurrent initiatives.
- Ensure AI solutions include monitoring, observability, testing, security, and operational support.
- Drive engineering practices including automated testing, code quality, infrastructure automation, CI/CD, and MLOps.
- Evaluate emerging AI technologies and mentor engineers through technical guidance, design reviews, and knowledge sharing.
Requirements
- 10+ years of AI/ML and software engineering experience delivering production-grade AI solutions in enterprise environments.
- Proven experience leading engineering teams and complex technology initiatives in large enterprises.
- Strong hands-on experience developing production-grade AI and machine learning applications.
- Deep experience with Generative AI, LLMs, RAG, prompt engineering, and agent-based architectures.
- Strong Python programming skills; Java or another enterprise programming language is preferred.
- Experience with distributed systems, microservices, REST APIs, containerization, cloud-native architectures, and modern MLOps or DevOps practices.
- Strong understanding of system design, scalability, resiliency, testing, and performance optimization.
- Experience with OpenAI, Azure OpenAI, LangChain, LangGraph, or similar AI frameworks.
- Experience with vector databases, RAG architectures, AI copilots, workflow automation, or agentic AI applications.
- Excellent communication skills and experience working in Agile software development environments.
- Investment banking, capital markets, or financial services technology experience is preferred.
- Experience with Kubernetes, Docker, GitHub Actions, Jenkins, MLflow, Azure, AWS, or Google Cloud is preferred.
Benefits
- Morgan Stanley offers comprehensive employee benefits and perks supporting employees and their families throughout their work-life journey.
- The role is based within a globally distributed technology organization spanning New York, London, Mumbai, Bengaluru, and Pune; specific work arrangement is not stated.
- Morgan Stanley provides opportunities for career mobility, professional growth, and advancement.
- The company is committed to diversity, inclusion, equal opportunity, and employee support.
Categories
About Marks & Spencer Group plc
Marks & Spencer Group plc is a British retailer selling clothing, home goods, and food to consumers through stores and ecommerce, with a focus on own-brand products. The company is listed on the London Stock Exchange, was founded in 1884, and is headquartered in London. In the UK, its online grocery offering runs via Ocado Retail, a joint venture in which M&S holds a significant stake.