Pearson
Senior AI Engineer
🇪🇸 Remote - ES
🕑 Full-Time
💰 TBD
💻 Software Engineering
🗓️ November 9th, 2025
Edtech.com's Summary
- Design, implement, and maintain backend components for digital products.
- Collaborate with cross-functional teams to define objectives, requirements, and timelines.
- Lead projects advocating backend best practices and support innovation initiatives.
- Architect scalable backend services, AI integration, and microservices deployment.
- Operationalize AI models working closely with data science teams to ensure reliability and scalability.
- Maintain technical documentation and mentor junior engineers, supporting onboarding and growth.
- Adhere to best practices like DevOps, Clean Code, Domain-Driven Design, and ensure security compliance.
- Programming skills required: Python, GoLang; familiarity with AI/ML tools such as TensorFlow, PyTorch, OpenAI Gym.
- Proficiency in cloud environments like AWS, GCP, or Azure and scalable development tools such as Docker and Kubernetes.
- Qualifications include a Bachelor's or Master's degree in Computer Science or related fields with experience in Agile practices, software engineering principles, and continuous learning mindset.
Senior AI Engineer Full Description
Role aim
Are you passionate about AI and Education? We are thrilled to announce a great opportunity to join our international AI organization inside the English Language Learning division as a senior AI Engineer to work on one of the most critical products in the company.
In Pearson English Language Learning we aspire to become the world's leading destination to learn, assess and improve English language skills. Our main focus is to deliver our promise to committed learners from around the world, who want to reach their full potential through learning English.
Role profile
This position requires an experienced and fully competent professional with a broad set of data engineering and machine learning engineering skills, and possibly also basic leadership skills.
Estimated time spent on various task types:
New features: 50-70%
Documentation: 15%
Meetings, incl. supervision: 10-30%
Maintenance: 5%
Responsibilities
Partner with product owners to design, implement, and maintain backend components for digital products.
Collaborate in cross-functional teams to define objectives, requirements, and timelines.
Lead projects and advocate for backend best practices, supporting strategic and innovation initiatives.
Architect scalable backend services and APIs, including AI integration and deployment of microservices.
Operationalize AI models with data science teams and ensure system reliability and scalability.
Maintain technical documentation and mentor junior engineers.
Champion continuous improvement, innovation, and knowledge sharing within the team.
Mentor and coach junior engineers, supporting their technical growth and onboarding.
Oversee the software development lifecycle, adhering to best practices like DevOps, Clean Code, and DDD.
Ensure security and compliance, working closely with relevant teams.
Stay updated on industry trends and recommend process or technical improvements.
Most desirable qualifications:
Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field.
Proven experience in software engineering principles, development processes, technologies, extreme development methodologies and practices and industry trends for Development and QA.
Hands-on experience with programming languages such as Python, GoLang
Some experience with at least one of the following AI/ML technologies (Tensorflow, PyTorch, OpenAI Gym)
Proficiency in at least one of the modern cloud environments (AWS, GCP, Azure)
Proficiency in best practices for software engineering (code review, multi-stage testing, CI/CD)
Some experience with scalable development (Docker, Kubernetes)
Strong problem-solving and analytical skills, with a keen attention to detail.
Some experience with data processing (building pipelines, data versioning)
Some experience with applied AI/ML theory (e.g. neural networks, reinforcement learning, statistical modelling)
Some experience with AI/ML tools (Jupyter Notebook, DVC, Neptune.ai, Weights & Biases)
Working experience in Agile practices, product and project management principles.
A passion for staying up to date with emerging technologies and industry trends.
Commitment to fostering an inclusive and diverse work environment.
Excellent communication skills, with the ability to effectively collaborate and build relationships with stakeholders at all levels. Able to communicate technical concepts to non-technical individuals.
Experience with working in a diverse, remote, asynchronous team
Proficiency in written and spoken English
Desire for continuous learning
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Pearson is an Equal Opportunity Employer and a member of E-Verify. Employment decisions are based on qualifications, merit and business need. Qualified applicants will receive consideration for employment without regard to race, ethnicity, color, religion, sex, sexual orientation, gender identity, gender expression, age, national origin, protected veteran status, disability status or any other group protected by law. We actively seek qualified candidates who are protected veterans and individuals with disabilities as defined under VEVRAA and Section 503 of the Rehabilitation Act.
If you are an individual with a disability and are unable or limited in your ability to use or access our career site as a result of your disability, you may request reasonable accommodations by emailing TalentExperienceGlobalTeam@grp.pearson.com.
Job:
Engineering
Job Family: TECHNOLOGY
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