At a Glance
- Tasks: Lead the design and deployment of innovative AI systems that transform business planning.
- Company: Join Anaplan, a leader in AI-driven decision-making for top global companies.
- Benefits: Enjoy a competitive salary, inclusive culture, and opportunities for personal growth.
- Other info: Diverse and inclusive workplace committed to your authentic self.
- Why this job: Make a real impact with cutting-edge technology in a collaborative environment.
- Qualifications: Expertise in AI, ML, and software engineering required; advanced degree preferred.
The predicted salary is between 80000 - 100000 £ per year.
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.
- 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 platforms.
- Knowledge of vector databases (Pinecone, Weaviate, Qdrant) and embedding models.
- Experience with model serving frameworks (vLLM, TensorRT, Ray).
- Experience with A/B testing and experimentation frameworks for AI features.
- Contributions to open-source ML projects or research publications.
- Experience with model observability tools (LangSmith, W&B, MLflow).
Our Commitment to Diversity, Equity, Inclusion and Belonging (DEIB)
We believe attracting and retaining the best talent and fostering an inclusive culture strengthens our business. DEIB improves our workforce, enhances trust with our partners and customers, and drives business success. Build your career in a place where diversity, equity, inclusion and belonging aren’t just words on paper – this is what drives our innovation, it’s how we connect, and it contributes to what makes us a market leader. We believe in a hiring and working environment where all people are respected and valued, regardless of gender identity or expression, sexual orientation, religion, ethnicity, age, neurodiversity, disability status, citizenship, or any other aspect which makes people unique. We hire you for who you are, and we want you to bring your authentic self to work every day!
We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, perform essential job functions, and receive equitable benefits and all privileges of employment. Please contact us to request accommodation.
Principal Machine Learning Engineer employer: Anaplan Inc
Anaplan is an exceptional employer that fosters a Winning Culture, where innovation and collaboration thrive. With a strong commitment to diversity, equity, inclusion, and belonging, employees are empowered to bring their authentic selves to work while enjoying ample opportunities for professional growth and development. Located in a vibrant environment, Anaplan offers competitive benefits and a supportive atmosphere that celebrates both individual and team successes.
StudySmarter Expert Advice🤫
We think this is how you could land Principal Machine Learning Engineer
✨Tip Number 1
Network like a pro! Reach out to folks in your industry on LinkedIn or at meetups. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repo showcasing your projects. This gives potential employers a taste of what you can do beyond the application.
✨Tip Number 3
Prepare for interviews by practising common questions and scenarios related to machine learning. We all know that confidence is key, so rehearse until you feel ready to shine!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you're genuinely interested in joining our team at Anaplan.
We think you need these skills to ace Principal Machine Learning Engineer
Some tips for your application 🫡
Show Your Passion for AI:When writing your application, let your enthusiasm for AI and machine learning shine through. We want to see how your experiences and projects align with our mission of optimising business decision-making.
Tailor Your CV and Cover Letter:Make sure to customise your CV and cover letter for the Principal Machine Learning Engineer role. Highlight relevant skills and experiences that match the job description, especially your hands-on experience with LLMs and MLOps.
Be Clear and Concise:Keep your application clear and to the point. Use straightforward language to describe your achievements and technical skills. We appreciate a well-structured application that’s easy to read!
Apply Through Our Website:Don’t forget to apply through our website! It’s the best way to ensure your application gets into the right hands. Plus, it shows you’re serious about joining our team at Anaplan.
How to prepare for a job interview at Anaplan Inc
✨Know Your Stuff
Make sure you brush up on your machine learning fundamentals and the latest trends in AI. Be ready to discuss your hands-on experience with LLMs, MLOps, and any relevant projects you've worked on. This will show that you're not just familiar with the theory but can apply it practically.
✨Showcase Your Projects
Prepare to talk about specific projects where you've implemented AI solutions. Highlight your role in the architecture, design, and deployment of these systems. Use metrics to demonstrate the impact of your work, like improvements in accuracy or user satisfaction.
✨Ask Insightful Questions
Interviews are a two-way street! Prepare thoughtful questions about Anaplan's approach to AI and how they integrate it into their platform. This shows your genuine interest in the company and helps you assess if it's the right fit for you.
✨Emphasise Collaboration
Since the role involves working closely with data scientists and other teams, be ready to discuss your collaborative experiences. Share examples of how you've successfully worked in cross-functional teams to deliver complex projects, highlighting your communication skills and adaptability.
