Manager, Applied AI Engineering

Salary: £100,000 - 100,000 per year

Requirements:

• Bachelors degree in Electrical Engineering, Computer Engineering, Computer Science, or a related field, or equivalent practical experience.
• 8 years of software development experience, including system design, data structures, and algorithms.
• 7 years of experience leading technical project strategy, ML design, and optimizing industry-scale ML infrastructure, including model deployment, model evaluation, data processing, debugging, and fine tuning.
• 5 years of experience in a technical leadership role overseeing projects.
• 5 years of experience in a people management, supervision, or team leadership role.
• 5 years of experience with one or more of the following: media generation, reinforcement learning, ML infrastructure, or another ML specialization.
• Experience with generative AI research or applications.
• Experience evaluating model performance, analyzing results, and implementing improvements.
• Experience with machine learning frameworks and libraries such as TensorFlow, PyTorch, or Hugging Face.
• Experience developing and shipping software products rapidly.
• Contributions to open-source projects.

Responsibilities:

• Lead a team in the design, development, and deployment of scalable generative AI applications while advocating industry best practices.
• Lead the team through the rapid development of new features, iterating based on evaluation results and mentoring team members to foster a collaborative and high-performing environment.
• Collaborate with researchers and product managers to translate research advancements into tangible product features.
• Oversee the optimization of software performance and ensure the reliability of deployed applications.
• Lead the architecture and development of new products and features from 0 to 1.

Technologies:

• AI
• Machine Learning
• PyTorch
• TensorFlow

More:

hackajob is partnering directly with Google to hire for this role. At Google DeepMind, we are a pioneering AI lab with exceptional interdisciplinary teams focused on advancing AI development to solve complex global challenges and accelerate high-quality product innovation for billions of users. We use our technologies for widespread public benefit and scientific discovery, with safety and ethics as our highest priority. Our global teams offer diverse learning opportunities and varied career pathways for those driven to achieve exceptional results through collective effort. We are looking for a passionate machine learning engineering leader who wants to build innovative products at the forefront of AI and work closely with research teams to translate AI research into real-world products.

last updated 35 week of 2026