REQUIREMENTS

• Machine Learning
• SageMaker (Desired)
• MLops
• AWS, Lambda, Codebuild/CodePipeline
• OpenSearch (Desired)
• Python
• Data Ingest/processing: Kafka, Spark, Kinesis, Flink (desired), Feature Stores (desired)

JOB DESCRIPTION

As a Senior Software Engineer, you will be working to provide the best platform in AWS utilising SageMaker and MLops, for our Data Scientists to implement machine learning techniques and Data Ingestion pipelines to meet the important need of audience facing recommendations and improve the customer experience across the platform.
Our client produces an incredibly varied range of content: from video, audio, and text; from comedy, drama, news, and educational content; and content produced all around the UK. With so much content being produced, it can be difficult to get the right content to the right person.
Over the next few months, we will be aiming to produce more personalised content to our customers, to get them the content they love, quicker. We have been building out a common recommendations platform and we are integrating our machine learning and data ingestion to support the business requirements around personalised content.

EXPERIENCE

• A degree in Computer Science, Software Engineering, or a related field or similar work based experience.
• Proven experience as a Senior Software Engineer ideally with a focus on media-related projects.
• Very good working knowledge of standard software development frameworks, techniques and methodologies.
• Experience with providing coaching and mentoring.
• Ability to work collaboratively in a team, contributing to the development of business scenarios.
• Knowledge of software development tools and technologies.
• You are flexible and curious in your approach.
• Strong analytical and problem-solving skills.

You will have:

• practical experience using Machine Learning techniques to improve recommendations capabilities, such as MLops (Mandatory)
• an understanding of data Ingest pipelines and experience of working with tools like Feature Stones (Desired)
• experience working with Data Scientists to productionise their code (Desired)
• AWS and CDK and Python knowledge
• knowledge of CI/CD pipelines such as CodeBuild or CodePipeline
• a strong willingness to learn and be a keen team player
• experience of Python, JavaScript, TypeScript
• knowledge of OpenSearch (Desired)
• professional experience of working in projects using Agile development processes
• experience of writing and taking responsibility for technical documentation
• experience working with MLOps, TDD, automation of testing