Location:

Salford (London/Glasgow)
Hybrid – 1 day a week in the office (Team Day: Wednesday-Salford/Thursday- London)
eligibility to work in the UK

Job Description

As a Senior Software Engineer, you will be designing, developing, and maintaining tools that support machine learning workflows on AWS SageMaker. The Machine Learning Enablement team are building new capabilities that will unlock new horizons for the Data Science teams. With this role you’ll be at the heart of an exciting journey, crafting tools and functions that are state-of-the-art and transformative. We are the catalysts, enabling the creation and collaboration of cutting-edge machine learning technologies. Our work is pivotal in shaping the future, empowering teams across the organisation to explore, innovate, and redefine the landscape of media.We are focused on enhancing MLE Hub platform by implementing MLOps capabilities. Our plan is implementing SageMaker Studio and its tools to empower data scientists to excel in their task.

Requirements:

AWS Services – SageMaker, VPC, KMS, S3, Lambda, CodeBuild/CodePipeline
CDK, CloudFormation
Python
MLOps (Desired)

Essential Key Skills and Responsibilities

You will have:

hands on experience of designing, developing, and maintaining tools that support machine learning workflows
experience of AWS services such as SageMaker, S3, VPC, KMS
experience of Infrastructure-as-Code tools such as CDK, CloudFormation
experience in feature engineering, data pre-processing, data pipelines, feature store
experience of modern Python development software engineering best practices including TDD
practical experience using Machine Learning techniques to improve recommendations capabilities, such as MLops (Desired)
knowledge of CI/CD pipelines such as CodeBuild or CodePipeline and TDD
a strong willingness to learn and be a keen team player
professional experience of working in projects using Agile development processes
experience of writing and taking responsibility for technical documentation

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

About Spyrosoft

Spyrosoft is an authentic, cutting-edge software engineering company, established in 2016. In 2021 and 2022, we were among the fastest growing technology companies in Europe, according to the Financial Times. We were founded by a group of tech experts with established backgrounds in software engineering, who created an ‘engineer-to-engineer’ workplace, powered by enthusiasm, fairness and authentic relationships. Having a unique offering, which bridge the gap between technology and business, we specialise in technology solutions for industry 4.0, automotive, geospatial, healthcare & life sciences, employee experience & education and financial services industries.

Spyrosoft jobs

Senior Software Engineer (Machine Learning – AWS) [UK]