Manager, Forward Deployment, Applied AI Engineering London, UK
Manager, Forward Deployment, Applied AI Engineering London, UK

Manager, Forward Deployment, Applied AI Engineering London, UK

London Full-Time 48000 - 72000 £ / year (est.) No home office possible
D

At a Glance

  • Tasks: Lead a team to develop and deploy innovative AI applications.
  • Company: Join Google DeepMind, a leader in advancing artificial intelligence for public benefit.
  • Benefits: Enjoy a collaborative culture, opportunities for growth, and the chance to work on cutting-edge technology.
  • Why this job: Make a real-world impact by translating AI research into products that benefit society.
  • Qualifications: 5+ years in technical leadership, strong software engineering skills, and experience with AI models required.
  • Other info: Diversity is valued; we encourage applicants from all backgrounds.

The predicted salary is between 48000 - 72000 £ per year.

We are seeking a Manager, Forward Deployment to lead the development and deployment of novel applications, leveraging Google’s generative AI models. This role focuses on rapidly developing new features, and working across partner teams to deliver solutions, and maximize impact for Google & top Google customers. You will be instrumental in translating cutting-edge AI research into real-world products, and demonstrating the capabilities of latest generation models. We are looking for a manager with a strong track record of building and shipping software, and leading engineering teams, ideally with some experience in early-stage environments, where you may have contributed to scaling products from initial concept to production. The ideal candidate will be motivated by the opportunity to drive product & business impact, and develop strong relationships with research teams.

About us

Artificial Intelligence could be one of humanity’s most useful inventions. At Google DeepMind, 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.

The role

This role requires a strong software engineering foundation, a passion for building and iterating on software products, and proven leadership skills. We are looking for a manager who thrives in fast-paced environments, and has the proven ability to deliver high-quality code & guide a team to success. Experience in end-to-end development is essential, as is the ability to mentor and develop junior engineers. We particularly value experience in early-stage or startup environments, where managers take ownership and drive product development from the ground up.

Key responsibilities

  • Lead a team in the design and development of scalable software applications leveraging generative AI models.
  • Guide the team in rapidly developing new features and iterating based on evaluation results.
  • 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.
  • Champion the development of best practices for building and deploying generative AI applications.
  • Lead the architecture and development of new products & features from 0 to 1.
  • Mentor and develop team members, fostering a collaborative and high-performing environment.
  • Partner with PM team to qualify & size new project opportunities.

About you

In order to set you up for success as a Manager, Forward Deployment at Google DeepMind, we look for the following skills and experience:

Required Skills

  • Bachelor’s degree or equivalent practical experience.
  • 5 years of experience in a technical leadership role; overseeing projects, with 5 years of experience in a people management, supervision/team leadership role.
  • 5 years of experience with one or more of the following: media generation, reinforcement learning (e.g., sequential decision making), ML infrastructure, or specialization in another ML field.
  • 7 years of experience leading technical project strategy, ML design, and optimizing industry-scale ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning).
  • Proven experience managing software engineering teams.
  • Strong software engineering skills; proficiency in Python.
  • Proven experience in developing and shipping software products rapidly.
  • Experience evaluating model performance, analyzing results, and implementing improvements.
  • Experience with cloud computing platforms and infrastructure (e.g., Google Cloud Platform, AWS, Azure).
  • Substantial experience with machine learning frameworks and libraries such as TensorFlow, PyTorch, Hugging Face, etc.
  • Ability to work in a fast-paced environment and adapt to changing priorities.
  • Excellent communication, collaboration, and leadership skills.

Preferred Skills

  • Experience with generative AI models and applications.
  • Contributions to open-source projects.
  • Experience with front-end development.
  • Experience working in, or founding early-stage startups.
  • Experience delivering software solutions in a fast-paced, customer-facing environment.

If you are a passionate software engineering leader with a drive to build innovative products and a desire to work at the forefront of AI, we encourage you to apply!

At Google DeepMind, we value diversity of experience, knowledge, backgrounds, and perspectives and harness these qualities to create extraordinary impact. We are committed to equal employment opportunities regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy, or related condition (including breastfeeding) or any other basis as protected by applicable law. If you have a disability or additional need that requires accommodation, please do not hesitate to let us know.

Apply for this job

*

indicates a required field

First Name *

Last Name *

Email *

Phone

Resume/CV *

Enter manually

Accepted file types: pdf, doc, docx, txt, rtf

Enter manually

Accepted file types: pdf, doc, docx, txt, rtf

LinkedIn Profile

Link to external profile e.g. LinkedIn, GitHub etc.

#J-18808-Ljbffr

Manager, Forward Deployment, Applied AI Engineering London, UK employer: DeepMind Technologies Limited

At Google DeepMind, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration. Our London-based team thrives in a fast-paced environment where employees are encouraged to grow through mentorship and hands-on experience with cutting-edge AI technologies. With a commitment to diversity and equal opportunity, we provide our staff with unique advantages, including the chance to lead impactful projects that shape the future of artificial intelligence.
D

Contact Detail:

DeepMind Technologies Limited Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Manager, Forward Deployment, Applied AI Engineering London, UK

✨Tip Number 1

Familiarise yourself with Google's generative AI models and their applications. Understanding how these models work and their potential impact will help you articulate your vision for deploying them effectively during interviews.

✨Tip Number 2

Network with professionals in the AI and software engineering fields, especially those who have experience with Google or similar companies. Engaging with them can provide insights into the company culture and expectations, which can be invaluable during your application process.

✨Tip Number 3

Showcase your leadership experience by preparing specific examples of how you've successfully managed teams and projects in fast-paced environments. Highlighting your ability to mentor junior engineers and drive product development will resonate well with the hiring team.

✨Tip Number 4

Stay updated on the latest trends in machine learning and AI technologies. Being knowledgeable about recent advancements will not only prepare you for discussions during interviews but also demonstrate your passion and commitment to the field.

We think you need these skills to ace Manager, Forward Deployment, Applied AI Engineering London, UK

Technical Leadership
Software Engineering
Python Proficiency
Machine Learning Expertise
Generative AI Knowledge
Project Management
Team Mentorship
Cloud Computing Experience
Model Evaluation and Optimization
Collaboration Skills
Fast-Paced Environment Adaptability
Software Development Lifecycle Understanding
Communication Skills
Problem-Solving Skills
Experience with ML Frameworks (e.g., TensorFlow, PyTorch)

Some tips for your application 🫡

Tailor Your CV: Make sure your CV highlights relevant experience in software engineering and leadership roles. Emphasise your track record of building and shipping software, especially in fast-paced or early-stage environments.

Craft a Compelling Cover Letter: In your cover letter, express your passion for AI and how your skills align with the role. Mention specific experiences that demonstrate your ability to lead teams and develop innovative software solutions.

Showcase Technical Skills: Clearly outline your technical skills, particularly in Python and machine learning frameworks like TensorFlow or PyTorch. Provide examples of projects where you have successfully implemented these technologies.

Highlight Collaboration Experience: Discuss your experience working with cross-functional teams, including researchers and product managers. Illustrate how you have translated research into practical applications and fostered a collaborative environment.

How to prepare for a job interview at DeepMind Technologies Limited

✨Showcase Your Technical Expertise

Be prepared to discuss your experience with software engineering, particularly in Python and machine learning frameworks like TensorFlow or PyTorch. Highlight specific projects where you led the development of software products, focusing on your role in optimising performance and delivering high-quality code.

✨Demonstrate Leadership Skills

Since this role involves managing a team, be ready to share examples of how you've successfully led engineering teams in the past. Discuss your approach to mentoring junior engineers and fostering a collaborative environment, as well as any experiences in early-stage environments that showcase your ability to drive product development.

✨Prepare for Scenario-Based Questions

Expect questions that assess your problem-solving skills and ability to adapt in fast-paced environments. Prepare to discuss how you would handle specific challenges related to deploying generative AI applications, including collaboration with researchers and product managers to translate research into practical features.

✨Express Your Passion for AI

Convey your enthusiasm for artificial intelligence and its potential impact. Share your thoughts on the latest advancements in AI and how they can be applied in real-world scenarios. This will demonstrate your alignment with the company's mission and your motivation to contribute to innovative projects.

Manager, Forward Deployment, Applied AI Engineering London, UK
DeepMind Technologies Limited
D
Similar positions in other companies
UK’s top job board for Gen Z
discover-jobs-cta
Discover now
>