Delivery Manager

Delivery Manager Machine LearningWe are seeking a Delivery Manager (ML) with a strong background in Machine Learning, MLOps, and LLM engineering to lead and scale the execution of complex AI projects across multiple global teams. This individual will oversee the end-to-end delivery of high-impact ML and LLM initiatives from large-scale data preparation and model training to deployment and performance optimization.The ideal candidate is a strategic operator and technical leader someone who can bridge research, engineering, and business delivery, ensuring excellence in execution, model quality, and stakeholder alignment. You will lead projects with 100+ team members, collaborate with AI researchers, ML engineers, and product leads, and drive innovation in tooling, automation, and process optimization.Primary ResponsibilitiesLead and manage large, cross-functional ML delivery teams (ML engineers, data scientists, MLOps, and annotators).Build scalable organizational structures and delivery mechanisms to support multiple concurrent ML/LLM programs.Define clear KPIs, quality goals, and success metrics for every project stage.Drive a culture of ownership, learning, and technical excellence through coaching, recognition, and gamified performance systems.Project Management and CoordinationOwn end-to-end delivery of large-scale ML projects from planning and training through deployment and monitoring.Translate research and product goals into executable delivery roadmaps.Identify and resolve risks, blockers, and dependencies proactively.Provide transparent reporting to senior leadership and research partners on delivery status, risks, and quality.Technical Oversight and ML QualityEnsure delivery excellence in data pipelines, model development, and evaluation frameworks.Review ML architectures and promote best practices in reproducibility, experiment tracking, and model governance.Analyze performance data and error trends to improve training efficiency and output quality.Champion continuous improvement and innovation in ML delivery workflows.Cross-Functional and Research CollaborationPartner closely with AI researchers, data infrastructure, and product teams to translate research insights into production-grade ML systems.Collaborate with engineering leaders to streamline compute usage, tooling, and resource allocation.Contribute to design discussions around distributed training, fine-tuning, and scalable ML infrastructure.Document and disseminate learnings to accelerate organizational ML maturity.Required Skills & Qualifications10+ years of experience in engineering, program management, or AI delivery, including 2+ years in ML/LLM project leadership.Proven ability to manage large-scale delivery programs (100+ team members) across data, research, and engineering streams.Strong technical grounding in machine learning, NLP, and modern deep learning frameworks (PyTorch, TensorFlow, Hugging Face, etc.).Working knowledge of MLOps pipelines (MLflow, Kubeflow, or Vertex AI) and cloud platforms (AWS, GCP, or Azure).Experience with data curation, training pipelines, and large-scale annotation processes.Excellent communication, stakeholder management, and risk mitigation capabilities.Demonstrated success driving ML systems from research to production under tight timelines.Preferred Skills & QualificationsAdvanced degree in Computer Science, Machine Learning, or related field (PhD preferred).Hands-on experience training or fine-tuning foundation or LLM models.Experience managing compute-heavy ML operations, including GPU scheduling and distributed model training.Understanding of Responsible AI, bias mitigation, and model interpretability.Background in gamification, performance motivation, or workforce engagement for large-scale technical teams.Why JoinOperate at the intersection of frontier AI research and large-scale execution.Lead mission-critical initiatives that accelerate AI innovation for global clients.Mentor and scale a world-class ML delivery organization.Influence technical strategy, process design, and AI innovation in one of the fastest-evolving spaces.Values:We are client first: We put our clients at the center of everything we do, because their success is the ultimate measure of our value.We work at Start-Up Speed: We move fast, stay agile and favor action because momentum is the foundation of perfection.We are AI forward: We help our clients build the future of AI and implement it in our own roles and workflow to amplify productivity.Advantages of joining Turing:Amazing work culture (Super collaborative & supportive work environment; 5 days a week)Awesome colleagues (Surround yourself with top talent from Meta, Google, LinkedIn etc. as well as people with deep startup experience)Competitive compensationFlexible working hoursDon't meet every single requirement? Studies have shown that women and people of color are less likely to apply to jobs unless they meet every single qualification. Turing is proud to be an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, disability, protected veteran status, or any other legally protected characteristics. At Turing we are dedicated to building a diverse, inclusive and authentic workplace and celebrate authenticity, so if you're excited about this role but your past experience doesn't align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles.For applicants from the European Union, please review Turing's GDPR notice here.