Principal AI Data Scientist

Salary: £52,000 - 92,000 per year

Requirements:

• Extensive professional engineering experience across Artificial Intelligence, Machine Learning, or related domains.
• Deep technical understanding of Transformer architectures, prompt engineering, and conversational AI patterns, alongside practical experience with autonomous agent frameworks.
• Experience fine-tuning LLMs, including LoRA, QLoRA, and RLHF, specifically for domain-specific enterprise applications.
• Experience taking models from concept to production, using strong MLOps and LLMOps practices to ensure scalable, reliable, and monitorable deployments.
• High proficiency in Python and modern software development practices, including rigorous testing, code reviews, and CI/CD pipelines.
• Strong hands-on experience in traditional machine learning and deep learning techniques, including timeseries forecasting algorithms.
• Background in Computer Science, Artificial Intelligence, Statistics, Data Science, or a related quantitative field.
• Experience working with scalable cloud infrastructure such as AWS, GCP, or Azure, and MLOps tools for model training, monitoring, and deployment.
• Background in forecasting, planning, or analytics applications.
• Familiarity with Anaplan or similar enterprise planning platforms.
• Experience with A/B testing and experimentation frameworks for AI features.
• Contributions to open-source ML projects or research publications.

Responsibilities:

• Lead the research, design, and implementation of advanced machine learning, deep learning, and timeseries forecasting models to solve complex enterprise business and planning challenges.
• Architect GenAI solutions, focusing on fine-tuning proprietary and open-source Large Language Models via Transformer architectures for specialised enterprise data tasks.
• Design and integrate conversational AI and autonomous agentic AI workflows, creating intuitive experiences that can independently execute complex planning tasks.
• Collaborate with Engineering, Product, and Design teams to transition AI models from early prototypes into robust, highly scalable production systems.
• Serve as a core subject matter expert, mentoring cross-functional teams and driving a culture of technical excellence, rigorous testing, and continuous learning.
• Work across the full stack of Anaplan AI applications, from model integration and prompt engineering to building intuitive user interfaces.
• Architect and deploy cutting-edge AI solutions that drive intelligent, automated, and forward-looking decision-making for our global customers.

Technologies:

• Agentic AI
• AI
• AWS
• Architect
• Azure
• CI/CD
• Cloud
• Fine-tuning
• GCP
• Support
• Machine Learning
• MLOps
• Model Training
• Python

More:

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. We serve more than 2,400 global companies, including Coca-Cola, LinkedIn, Adobe, LVMH, and Bayer. Our Winning Culture emphasizes diversity of thought, ambitious goals, and celebrating wins big and small. We are strategy-led, values-based, and disciplined in execution, and we offer a collaborative environment where we inspire, connect, develop, and reward our people. We are committed to diversity, equity, inclusion, and belonging, and we welcome you to bring your authentic self to work. We also support reasonable accommodations during the application or interview process.

last updated 36 week of 2026