Principal Machine Learning Engineer

Anaplan·London

In short

→Líder técnico en IA generativa y machine learning para una plataforma de planificación empresarial.
→Desarrollo de funcionalidades con LLM, RAG, agentes autónomos y interfaces conversacionales en entornos de producción.
→Destacado por integrar IA generativa directamente en flujos de trabajo empresariales para usuarios sin conocimientos técnicos.

Proficiency in English is required

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What they ask for

✓Experiencia demostrable en entrenamiento y despliegue de modelos ML en producción.
✓Conocimiento profundo de LLMs, ingeniería de prompts y RAG.
✓Habilidades sólidas en MLOps y LLMOps para despliegues escalables y monitorizados.
✓Experiencia con frameworks de agentes autónomos y workflows conversacionales.
✓Dominio de Python y prácticas modernas de desarrollo (CI/CD, testing, code review).
✓Capacidad para liderar arquitectura de sistemas de IA a gran escala.

Don't tick every box? That's normal — your free dossier shows your gaps and how to cover them in the interview.

PythonLLMsPrompt EngineeringRAGAPIsGenAIMLOpsLLMOpsCloud-Native ML InfrastructureAgentic Frameworks

Who should you write to at Anaplan?

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At Anaplan, we are a team of innovators focused on optimizing business decision-making through our leading AI-infused scenario planning and analysis platform so our customers can outpace their competition and the market. What unites Anaplanners across teams and geographies is our collective commitment to our customers’ success and to our Winning Culture. Our customers rank among the who’s who in the Fortune 50. Coca-Cola, LinkedIn, Adobe, LVMH and Bayer are just a few of the 2,400+ global companies who rely on our best-in-class platform. Our Winning Culture is the engine that drives our teams of innovators. We champion diversity of thought and ideas, we behave like leaders regardless of title, we are committed to achieving ambitious goals, and we love celebrating our wins – big and small. Supported by operating principles of being strategy-led, values -based and disciplined in execution, you’ll be inspired, connected, developed and rewarded here. Everything that makes you unique is welcome; join us and let’s build what’s next - together! Role Summary We're seeking a Principal Machine Learning Engineer who can work across the full stack of Anaplan AI applications, from model integration and prompt engineering to building intuitive user interfaces. You'll build production-ready AI features that empower business users to leverage the power of GenAI within their planning workflows, requiring both deep ML knowledge and strong software engineering skills. Your Impact • Lead the architecture, design, and deployment of scalable Generative AI and Machine learning systems into production environments. • Develop end-to-end GenAI features including backend API services, model integration, model monitoring, evaluations and deployments • Integrate and optimise LLMs for specific use cases in business planning, including prompt engineering, RAG implementation • Build conversational interfaces and agentic workflows that make complex planning tasks accessible through natural language • Implement evaluation frameworks to measure and improve GenAI feature quality, including accuracy, latency, and user satisfaction metrics • Design and develop APIs that expose AI capabilities to Anaplan's platform and third-party integrations • Optimise model inference pipelines for performance, cost, and scalability in production environments • Implement monitoring, logging, and observability for GenAI systems to track usage, errors, and model behaviour • Collaborate with data scientists to productionise ML models and forecasting algorithms Your Skills • Extensive hands-on professional experience in the field of Artificial Intelligence, Machine Learning, or related engineering domains. • End-to-end exposure in model lifecycle development, including extensive experience training and deploying ML models in production environments. • Deep knowledge of LLM APIs, prompt engineering, and conversational AI patterns. • Experience in fine-tuning LLMs for domain-specific enterprise applications. • Strong expertise in MLOps and LLMOps, ensuring scalable, reliable, and monitorable model deployments. • Experience with agentic frameworks and autonomous agent architectures. • Proficiency in Python and modern software development practices (testing, code review, CI/CD). • Proven track record of delivering complex technical projects on time with high quality Desirable • Advanced degree (Master's or Ph.D.) in Computer Science, Artificial Intelligence, Machine Learning, or a strongly related quantitative field • Hands-on experience with cloud-native ML infrastructure

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