Principal Machine Learning Engineer

About This Opportunity

Our talent team at Get A Job.ai is representing a confidential enterprise SaaS organization seeking a Principal Machine Learning Engineer in London. This is an exceptional opportunity to lead the development of production-ready generative AI features that empower business users through cutting-edge machine learning solutions.

Responsibilities

• 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 enterprise use cases, including prompt engineering and RAG implementation
• Build conversational interfaces and agentic workflows that make complex 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 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

What We're Looking For

Required qualifications:

• Extensive hands-on professional experience in 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

Preferred qualifications:

• 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)

How We Work With You

As a specialized recruiting partner, Get A Job.ai connects exceptional talent with leading organizations. When you apply through our platform at getajob.ai, one of our experienced recruiters will screen your application and qualifications. If there's a strong match, we'll submit your profile to our client for consideration. Please note that direct contact with the client is not appropriate during the recruitment process—we'll coordinate all communications and next steps on your behalf.

Pay

Compensation details will be discussed during the screening process and are competitive for a Principal-level Machine Learning Engineer position in London.

Equal Employment Opportunity

Get A Job.ai is committed to fostering an inclusive recruitment process. We welcome applications from candidates of all backgrounds and will ensure that individuals with disabilities are provided reasonable accommodation throughout the hiring process.