Machine Learning Engineer, Generative AI Innovation Center

Amazon; Greater London; On-site; GBP 70,000 - 90,000; Full time

Job summary

A leading cloud services provider in Greater London seeks a Machine Learning Engineer to develop and deploy advanced ML models. The role involves solving complex problems, collaborating across teams, and working in a dynamic environment. Ideal candidates will have software development experience and a strong foundation in data scripting languages. This position offers opportunities for professional growth and flexibility in work-life balance.

Benefits

Mentorship programs

Flexible work hours

Employee-led affinity groups

Qualifications

• Experience in professional software development.
• Experience leading architecture and design of new systems.
• Experience building complex software systems.

Responsibilities

• Collaborate across diverse teams on ML solutions.
• Design, implement, and maintain innovative ML solutions.
• Research implementations for optimal customer experiences.

Skills

Software development experience

Mentoring or leadership experience

Data scripting languages (SQL, Python)

Education

Bachelor's degree in computer science or equivalent

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 (https://press.aboutamazon.com/2023/6/aws-announces-generative-ai-innovation-center). 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

Our ML Engineers collaborate across diverse teams, projects, and environments to have a firsthand impact on our global customer base. You’ll bring a passion for the intersection of software development with generative AI and machine learning. You’ll also:

• 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

As you design and code solutions to help our team drive efficiencies in ML architecture, you’ll create metrics, implement automation and other improvements, and resolve the root cause of software defects. You’ll also:

• 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

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.

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.