Specialist Solutions Architect (Srv SSA) - ML Engineering

PlayStation Sony Computer Entertainment Europe Ltd.; City of Westminster; On-site; GBP 70,000 - 90,000; Full time

Job summary

A leading global gaming company is seeking a talented Senior Data Scientist/AI Engineer to design and deploy AI-driven tools for market research. The successful candidate will work on AWS-based workflows, develop microservices, and ensure high service availability. Applicants should have a bachelor's degree and over 6 years of relevant experience in machine learning, backend engineering, and AI platform development. This role offers the opportunity to be part of a creative and innovative team in a dynamic environment.

Qualifications

• 6+ years of experience in machine learning, backend engineering, or AI platform development.
• Proficient coding skills in Java and Python.
• Strong competence with AWS services like EKS, ECS, Kinesis.

Responsibilities

• Architect, build, test, and monitor AWS-based workflows.
• Develop microservices for ML-driven applications using Python or Java.
• Participate in on-call rotation for service availability.

Skills

Java

Python

AWS services

MLOps tooling

Cross-functional collaboration

Education

Bachelor's degree

Tools

Kubernetes

Docker

Terraform

Job description

About the Role

We are seeking a talented and self‑motivated Senior Data Scientist/AI Engineer to join our team. In this role, you will design, build, and deploy next‑generation AI‑driven tools for market research. You will work at the intersection of data science and AI to create scalable, intelligent systems that increase efficiencies and accelerate innovation across the organization.

Key Responsibilities

• Automate workflows: Architect, build, test, and monitor AWS‑based workflows to solve critical business problems.
• Microservices and APIs: Develop microservices for ML‑driven applications using Python or Java, ensuring scalability and resilience.
• Ensure high service availability: Participate in on‑call rotation and follow best practices for disaster recovery and business continuity.
• Automated deployment: Deploy work in an automated, repeatable fashion, optimizing infrastructure for cost and efficiency.

Qualifications & Education

• Bachelor’s degree with 6+ years of experience in machine learning, backend engineering, or AI platform development.
• Proficient coding skills in Java and Python.
• Strong competence with AWS services (EKS/ECS, Kinesis, Lambda, DynamoDB, SNS, SQS) or equivalent.
• Knowledge of systems monitoring, alerting, and analytics using tools such as Datadog, Splunk, New Relic, or AWS CloudTrail.
• Excellent communication skills and proven success in cross‑functional collaboration.
• Proven experience developing, evaluating, and orchestrating agentic workflows with LLMs.
• Hands‑on experience with distributed systems and MLOps tooling such as Kubernetes, Docker, MLflow, Airflow, Terraform, and CI/CD.

Preferred Skills

• Familiarity with data streaming and orchestration tools such as Kafka, Flink, Spark, dbt, and Airflow.
• Experience with multi‑modal LLM systems (text + image embeddings).
• Exposure to AI observability, prompt evaluation frameworks, and safety alignment tools.
• Understanding of vector databases and retrieval workflows.

About PlayStation

PlayStation isn’t just the best place to play – it’s also the best place to work. Today, we’re recognized as a global leader in entertainment, producing the PlayStation family of products and services, including PlayStation®5, PlayStation®4, PlayStation®VR, PlayStation®Plus, and acclaimed PlayStation software titles from PlayStation Studios.

Equal Opportunity Statement

Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to race, color, religion, gender, pregnancy, national origin, ancestry, citizenship, age, legally protected physical or mental disability, or veteran status.