ML/AI Software Engineer New

Sony; City of Westminster; On-site; GBP 60,000 - 80,000; Full time

Job summary

A leading tech company in the United Kingdom is seeking an experienced software engineer to architect and develop AWS-based workflows, ensuring high service availability and resilience. Candidates should have a Bachelor’s degree and over 6 years of experience in machine learning or backend engineering, with strong proficiency in Java, Python, and AWS services. The role offers a range of benefits including flexible working, gym subsidies, and regular team events.

Benefits

Training Provided

Regular team events

Flexible working

Free drinks, fruit or food

Free Gym or Gym Subsidy

Private Medical/Dental healthcare

Bonus/Reward Scheme

Cycle to work scheme

Game Jams

Qualifications

• Bachelor’s degree with 6+ years of experience in machine learning, backend engineering, or AI platform development.
• Demonstrated experience with Java and Python.
• Proficiency with common AWS services such as EKS/ECS, Kinesis, Lambda, DynamoDB, SNS, and SQS.

Responsibilities

• Architect, build, test, and monitor AWS-based workflows to solve critical business problems.
• Develop microservices for ML-driven applications ensuring scalability and resilience.
• Guarantee high levels of service availability through participation in an on-call rotation.

Skills

Java

Python

AWS services

MLOps tools

Distributed systems

Systems monitoring

Communication

Education

Bachelor’s degree

Tools

Kubernetes

Docker

AWS CloudTrail

Terraform

Job description

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.
• Service Availability: Guarantee high levels of service availability through participation in an on‑call rotation, following best practices for disaster recovery and business continuity.
• Automated Deployment: Ensure all work is deployed in an automated, repeatable fashion, optimizing infrastructure for cost and efficiency.

Qualifications

• Educational Background: Bachelor’s degree with 6+ years of experience in machine learning, backend engineering, or AI platform development.
• Coding Proficiency: Demonstrated experience with Java and Python.
• Cloud Competency: Proficiency with common AWS services or equivalent such as EKS/ECS, Kinesis, Lambda, DynamoDB, SNS, and SQS.
• Systems Monitoring and Analytics: Knowledge of systems monitoring, alerting, and analytics using tools such as Datadog, Splunk, New Relic, or AWS CloudTrail.
• Communication Skills: Demonstrated success in cross‑functional collaboration.
• LLM Expertise: Proven experience developing, evaluating, and orchestrating agentic workflows.
• MLOps and Distributed Systems: Hands‑on experience with distributed systems and MLOps tooling such as Kubernetes, Docker, MLflow, Airflow, Terraform, and CI/CD.
• Preferred Skills: Data Streaming and Orchestration (Kafka, Flink, Spark, dbt, Airflow); Multi‑Modal LLM Systems (text + image embeddings); AI Observability and Evaluation; Vector Database Knowledge.

Benefits

• Training Provided
• Regular team and company events
• Free drinks, fruit or food
• Flexible working
• Free Gym or Gym Subsidy
• Private Medical/Dental healthcare
• Bonus/Reward Scheme
• Cycle to work scheme
• Game Jams