Principal Machine Learning Engineer

Principal MLOps / Machine Learning Engineer – Build the AI Infrastructure Powering Mental Health Innovation! Make a Real Impact with AI Join a mission-driven AI company revolutionizing mental health diagnostics and treatment. Our cutting-edge technology uses machine learning and large-scale data processing to improve depression diagnosis and empower millions with better care. As a Principal MLOps/ML Engineer, you’ll design and scale the infrastructure that ensures our AI models are deployed efficiently, data flows seamlessly, and databases are optimized for high-performance AI workloads. Location & Flexibility London-based with a hybrid model (just 1 day onsite per week). A flexible, collaborative environment designed to support work-life balance. Your Impact Drive the end-to-end AI infrastructure to improve data flow, database efficiency, and MLOps capabilities: Architect and optimize AI infrastructure to ensure seamless integration between ML models, databases, and real-world applications. Improve data flow and storage by optimizing data pipelines, databases, and warehouse structures using AWS, Airflow, and SQL. Develop scalable MLOps pipelines, automating model training, deployment, and monitoring to ensure reliable AI performance. Enhance CI/CD for ML, implementing versioning, reproducibility, and automated model validation. Optimize ML models for real-world applications, ensuring efficient resource usage in cloud and distributed computing environments. Ensure security, governance, and reliability across AI workflows and data processing pipelines. Tech Stack & Skills Python, Pandas, SQL – Core for data manipulation and pipeline development. Airflow, Kubeflow, MLflow – Orchestrating AI workflows and pipeline automation. AWS (S3, SageMaker, Lambda, Redshift) – Scalable cloud infrastructure for ML and data processing. Docker, Kubernetes, Terraform – Infrastructure as code for ML deployment and database scalability. Database Optimization – Designing and managing high-performance databases and data lakes. Big Data & Streaming (Spark, Kafka, Snowflake) – Handling massive, real-time AI-driven datasets. Why This Role Matters This isn’t just another ML role—it’s an opportunity to redefine AI infrastructure for healthcare: Own & Scale – Take charge of the AI infrastructure and data flow, ensuring scalability and efficiency. Collaborate with AI Experts – Work alongside top Machine Learning & Data Science teams. Transform Mental Health – Your work directly improves depression diagnostics and patient care. Lead & Innovate – Influence cutting-edge MLOps, database, and data pipeline strategies. Ready to Build the Future of AI-Powered Healthcare? If you’re ready to drive AI infrastructure, optimize data flows, and build scalable ML systems, we want to hear from you! Apply now and be part of this transformative journey. Company:

Acceler8 Talent Qualifications:

Language requirements: Specific requirements: Educational level: Level of experience (years): Senior (5+ years of experience) Tagged as:

Big Data ,

Industry ,

Machine Learning ,

NLP ,

United Kingdom

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