Machine Learning Engineer, VP

Join us as a Machine Learning Engineer
In this role, you’ll be driving and embedding the deployment, automation, maintenance and monitoring of machine learning models and algorithms
Day-to-day, you’ll make sure that models and algorithms work effectively in a production environment while promoting data literacy education with business stakeholders
If you see opportunities where others see challenges, you’ll find that this solutions-driven role will be your chance to solve new problems and enjoy excellent career development
We're offering this role at vice president level
What you’ll do
Your daily responsibilities will include you collaborating with colleagues to design and develop advanced machine learning products which power our group for our customers. You’ll also codify and automate complex machine learning model productions, including pipeline optimisation.
We’ll expect you to transform advanced data science prototypes and apply machine learning algorithms and tools. You’ll also plan, manage, and deliver larger or complex projects, involving a variety of colleagues and teams across our business.
You’ll also be responsible for:
Understanding the complex requirements and needs of business stakeholders, developing good relationships and how machine learning solutions can support our business strategy
Working with colleagues to productionise machine learning models, including pipeline design and development and testing and deployment, so the original intent is carried over to production
Creating frameworks to ensure robust monitoring of machine learning models within a production environment, making sure they deliver quality and performance
Understanding and addressing any shortfalls, for instance, through retraining
Leading direct reports and wider teams in an Agile way within multi-disciplinary data and analytics teams to achieve agreed project and Scrum outcomes
The skills you’ll need
To be successful in this role, you’ll have an academic background in a STEM discipline, like Mathematics, Physics, Engineering or Computer Science. You’ll need overall ten years of experience with machine learning on large datasets and an understanding of machine learning approaches and algorithms.
Alongside this, you’ll have experience of building, testing, supporting and deploying machine learning models into a production environment, using modern CI/CD tools, like TeamCity and CodeDeploy. You’ll also have good communication skills to engage with a wide range of stakeholders.
You’ll also need:
Experience of coaching others
Experience of using programming and scripting languages, such as Python and relevent libraries along with machine learning framework such as Tensorflow and Pytorch
Experience with AWS, Google cloud platform, or Azure for deploying machine learning models
Strong understanding of CI/CD pipelines, version control such Git, and containerization such as Docker
Knowledge of various machine learning algorithms, MLOps,LLMOps and familiarity with concepts such as overfitting and model evaluation metrics
Hours
45
Job Posting Closing Date:
30/09/2026