Machine Learning Engineer, Generative AI Innovation Center

Amazon; City Of London; On-site; GBP 70,000 - 100,000; Full time

Job summary

A global tech company based in the City of London is seeking a Machine Learning Engineer to develop and deploy advanced machine learning solutions. The ideal candidate will solve complex technical problems and build high-impact products while collaborating with a diverse team. Relevant experience in software development and leadership in technical projects is required, along with proficiency in data scripting languages. This role offers a chance to work in a fast-paced, innovative environment.

Benefits

Flexible working culture

Career advancement opportunities

Inclusive team environment

Qualifications

• Experience in professional, non-internship software development.
• Experience leading the architecture and design of new and current systems.
• Experience building complex software systems delivered to customers.
• Experience as a mentor, tech lead or leading an engineering team.
• Proficiency in data scripting languages or statistical/mathematical software.

Responsibilities

• Solve complex technical problems at every layer of the stack.
• Design, implement, test, deploy, and maintain innovative ML solutions.
• Build high-quality, highly available products.
• Research implementations for the best customer experiences.
• Work cross-functionally to drive business solutions.

Skills

Software development experience

Leadership in architecture and design

Building complex software systems

Mentorship and team leadership

Data scripting languages (e.g., SQL, Python)

Education

Bachelor's degree in computer science or equivalent

Tools

Statistical software (e.g., R, SAS, Matlab)

Job description

Description

Amazon launched the Generative AI (GenAI) Innovation Center (GenAIIC) in Jun 2023 to help AWS customers accelerate enterprise innovation and success with Generative AI. Customers such as Highspot, Lonely Planet, Ryanair, and Twilio are engaging with the GAI Innovation Center to explore developing generative solutions.

GenAIIC provides opportunities to innovate in a fast-paced organization that contributes to game-changing projects and technologies that get deployed on devices and in the cloud.

As a Machine Learning Engineer in GenAIIC, you are proficient in developing and deploying advanced ML models and pipelines to solve diverse customer problems using Gen AI. You will be working alongside scientists with terabytes of text, images, and other types of data and develop Gen AI based solutions to solve real-world problems. You'll design and run experiments, research new algorithms, and find new ways of optimizing risk, profitability, and customer experience.

Key job responsibilities

• Solve complex technical problems, often ones not solved before, at every layer of the stack.
• Design, implement, test, deploy and maintain innovative ML solutions to transform service performance, durability, cost, and security.
• Build high-quality, highly available, always-on products.
• Research implementations that deliver the best possible experiences for customers.

A day in the life

• Build high-impact ML solutions to deliver to our large customer base.
• Participate in design discussions, code review, and communicate with internal and external stakeholders.
• Work cross-functionally to help drive business solutions with your technical input.
• Work in a startup-like development environment, where you're always working on the most important stuff.

About the team

Diverse Experiences

AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying.

Why AWS?

Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating – that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.

Inclusive Team Culture

Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (diversity) conferences, inspire us to never stop embracing our uniqueness.

Mentorship & Career Growth

We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.

Work/Life Balance

We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud.

Basic Qualifications

• Experience in professional, non-internship software development
• Experience leading the architecture and design (architecture, design patterns, reliability and scaling) of new and current systems, or experience in development in the last 3 years
• Experience building complex software systems that have been successfully delivered to customers, or experience in computer architecture
• Experience as a mentor, tech lead or leading an engineering team
• Experience with data scripting languages (e.g. SQL, Python, R etc.) or statistical/mathematical software (e.g. R, SAS, or Matlab)

Preferred Qualifications

• Experience with full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations
• Bachelor's degree in computer science or equivalent

Equal Opportunity Statement

Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice https://www.amazon.jobs/en/privacy_page to know more about how we collect, use and transfer the personal data of our candidates.

Equal Opportunity and Disability Accommodations

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.