Latest leader Jobs

Senior MLOps Engineer - DSX Enablement

This role involves building and deploying custom AI solutions on NVIDIA's NeoCloud and partner cloud platforms, with a focus on distributed training, inference optimization, and MLOps pipelines. The engineer will act as a technical advisor to both internal and external customers, diagnosing complex full-stack AI/ML system issues and contributing to open-source tools and reference architectures. Emphasis is placed on performance tuning, cross-team collaboration, and enabling cutting-edge AI workloads on NVIDIA hardware and software stacks.

NVIDIA PLN 292,500 – PLN 650,000 pa

Senior MLOps Engineer - DSX Enablement

Develop and optimize scalable MLOps pipelines and AI infrastructure on NVIDIA's NeoCloud and partner platforms, supporting large-scale training and inference workloads. Serve as a technical advisor to internal and external teams, diagnosing cross-stack performance issues and contributing to open-source tools and reference architectures. Focus on accelerating AI initiatives through deep systems expertise and collaboration with infrastructure and framework teams.

NVIDIA PLN 292,500 – PLN 650,000 pa

PhD Physicist

This role involves tackling complex, multidisciplinary challenges across healthcare, defence, and energy by applying advanced physics and experimental techniques to real-world engineering problems. You'll work on innovative projects such as novel imaging systems, ultrasonic measurement, and magnetic positioning, combining theoretical knowledge with hands-on development. The position emphasizes rapid learning, technical creativity, and collaboration within a supportive, R&D-focused environment.

Cambridge Consultants United Kingdom

On-site Permanent Clearance Required

Principal Data Scientist - Aristocrat

This role involves leading end-to-end data science initiatives to enhance player engagement, retention, and monetization in social casino games. The Principal Data Scientist will develop machine learning and reinforcement learning models, drive scalable experimentation, and translate complex insights into product decisions. They will also provide technical leadership, mentorship, and collaborate across engineering, MLOps, and game teams to build data products and improve decision-making frameworks.

eFinancialCareers London, United Kingdom

Senior Security Engineer (AI Safety), London, Lausanne

This role involves securing AI-driven drug discovery systems by designing risk frameworks, protecting ML model artifacts, and implementing security controls across the AI lifecycle. The engineer will lead incident response for AI-specific threats, safeguard autonomous agentic workflows, and ensure compliance with evolving regulations like the EU AI Act. Close collaboration with ML researchers and platform teams is essential to embed security into high-velocity scientific innovation.

Isomorphic Labs United Kingdom

Hybrid Permanent

Associate Director, Clinical Program Management, Cambridge, MA

The Clinical Program Manager will lead the transition of internal drug programs from pre-IND to clinical trial execution, managing cross-functional teams, timelines, budgets, and vendor partnerships. The role involves close collaboration with preclinical, AI/ML, and data science teams to integrate emerging technologies into clinical development. This is a hybrid position requiring 3 days per week in the Cambridge, MA office.

Isomorphic Labs England

Hybrid Permanent

W

Staff SRE, AI Infrastructure

This role involves building and scaling the reliability foundations of a large-scale AI and GPU compute platform. You will define SRE frameworks, automation, and operational standards for model development and training infrastructure, ensuring high availability and performance. The position bridges AI research, cloud infrastructure, and production operations, with a focus on observability, incident response, and resilient system design.

Wayve London, United Kingdom

On-site Permanent

W

Staff Tech Lead Manager, Machine Learning, Vision Models

Lead a team building offline scene understanding models that evaluate and explain the behavior of autonomous driving systems. The role involves technical leadership in adapting on-vehicle and foundation models for high-fidelity simulation and counterfactual analysis, with outputs directly informing model development and customer deliverables. Focuses on scalable, production-grade ML systems in a compute-rich offline environment.

Wayve London, United Kingdom