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Google DeepMind

Google DeepMind

www.deepmind.google

5 Jobs

5,369 Employees

About the Company

We’re a team of scientists, engineers, machine learning experts and more, working together to advance the state of the art in artificial intelligence. We use our technologies for widespread public benefit and scientific discovery, and collaborate with others on critical challenges, ensuring safety and ethics are the highest priority.

Our long term aim is to solve intelligence, developing more general and capable problem-solving systems, known as artificial general intelligence (AGI).

Guided by safety and ethics, this invention could help society find answers to some of the world’s most pressing and fundamental scientific challenges.

We have a track record of breakthroughs in fundamental AI research, published in journals like Nature, Science, and more.Our programs have learned to diagnose eye diseases as effectively as the world’s top doctors, to save 30% of the energy used to keep data centres cool, and to predict the complex 3D shapes of proteins - which could one day transform how drugs are invented.

Listed Jobs

Company background Company brand
Company Name
Google DeepMind
Job Title
Software Engineer, Medical AI
Job Description
Job Title: Software Engineer, Medical AI Role Summary: Design and develop multimodal front-end interfaces for conversational AI in healthcare. Collaborate with research and engineering teams to deploy scalable, compliant medical AI systems. Expectations: Proven experience in front-end development for complex applications; ability to work independently in fast-paced environments; collaboration with cross-functional teams on mission-critical projects. Key Responsibilities: - Design, develop, and implement responsive multimodal (text/audio/video) user interfaces for healthcare AI systems. - Build reusable front-end systems for web/mobile applications with scalable, compliant infrastructure. - Partner with research, product, and design teams to deliver new medical AI features. - Contribute to full-stack development as required for user-centric solutions. - Ensure interfaces align with domain-specific regulatory and clinical standards. Required Skills: - Front-end development (React, TypeScript, web technologies). - Mobile application development experience. - Experience with multimodal interfaces (text/audio/video) for generative AI/LLM applications. - Proficiency in designing and deploying large-scale web applications. - Strong problem-solving and product-driven engineering mindset. Required Education & Certifications: Not specified by the job description.
London, United kingdom
Hybrid
08-10-2025
Company background Company brand
Company Name
Google DeepMind
Job Title
Research Scientist, Material Intelligence, 12-Month Fixed-Term Contract
Job Description
London, United kingdom
Hybrid
23-10-2025
Company background Company brand
Company Name
Google DeepMind
Job Title
Intelligence Lead, Security & Privacy, GenAI (18 months Fixed Term Contract)
Job Description
**Job Title:** Intelligence Lead – Security & Privacy, GenAI **Role Summary:** Lead intelligence operations for DeepMind’s Security & Privacy organization, providing tactical and strategic insights on AI‑related threats, risks, and opportunities. Drive the intelligence function’s long‑term strategy, deliver timely intelligence to support investigations, and cultivate relationships with senior leaders, external partners, and industry peers. **Expectations:** - Manage end‑to‑end intelligence delivery cycle. - Influence decision‑making through clear, concise executive communication. - Maintain up‑to‑date awareness of the evolving AI security landscape. - Lead and coordinate with cross‑functional stakeholders and third‑party vendors. **Key Responsibilities:** - Identify opportunities and provide strategic guidance to research and product teams on AI threats, risks, and opportunities. - Define and implement the long‑term intelligence strategy, aligning plans, priorities, and resources with broader organizational goals. - Deliver timely intelligence to support internal investigations and risk management initiatives. - Build trusted relationships with senior leaders across DeepMind and Alphabet; provide actionable recommendations. - Manage external relationships with public sector representatives and industry peers for intelligence sharing and collaboration. - Apply analytic methods to assess changes in adversary capabilities, motivations, and intent, delivering insights that mitigate risks proactively. - Lead crisis response and threat assessment efforts, collecting, evaluating, and disseminating accurate intelligence to stakeholders. **Required Skills:** - 10+ years in analytical fields such as risk intelligence, threat analysis, competitive intelligence, crisis management, or business continuity. - Demonstrated ability to operate in fast‑changing research environments and drive process improvements and tooling efficiencies. - Strong executive communication—synthesizing complex details into concise, actionable insights. - Experience managing third‑party providers, budgets, purchase orders, and invoices. - Ability to lead by influence, balancing coaching and direction without micromanaging. **Required Education & Certifications:** - Bachelor’s degree in international affairs, political science, security studies, history, intelligence, or equivalent practical experience. - Relevant government security clearance (preferred). - Master’s degree and AI/ML fundamentals knowledge (advantageous). ---
London, United kingdom
Hybrid
Senior
02-12-2025
Company background Company brand
Company Name
Google DeepMind
Job Title
Software Engineer, Gemini Deployment, London
Job Description
**Job Title** Software Engineer, Gemini Deployment **Role Summary** Integrate and optimise Google DeepMind’s Gemini multimodal AI models for high‑performance, low‑latency production environments. Collaborate with research and infrastructure teams to design, deploy, and scale serving solutions across text, audio, image, and video modalities. **Expectations** - Translate cutting‑edge AI research into production‑ready systems. - Deliver efficient, scalable model serving pipelines that meet throughput and latency targets. - Continuously improve deployment automation, monitoring, and hardware utilization. **Key Responsibilities** - Bridge research and production workflows by working directly with model developers. - Design and implement high‑performance serving techniques (e.g., continuous batching, speculative decoding, request‑level scheduling). - Optimize serving infrastructure and resolve bottlenecks in speed and scale. - Automate deployment processes to eliminate redundancies and accelerate release velocity. - Develop deep expertise in serving frameworks, preprocessing pipelines, caching, and related technologies. - Profile and select optimal hardware configurations for diverse Gemini models. - Stay current with industry trends and emerging AI deployment best practices. **Required Skills** - Strong programming proficiency in C++ or Python. - Experience deploying machine‑learning models in production environments. - Proven ability to build and maintain serving infrastructure. - Knowledge of distributed ML system optimisation. - Familiarity with modern hardware accelerators (GPU, TPU). - Excellent communication and collaboration skills. **Required Education & Certifications** - Bachelor’s degree in Computer Science, Engineering, or a related field (or equivalent experience). ---
London, United kingdom
Hybrid
04-12-2025