ML Engineer, AVP

Join us as a Machine Learning Engineer

• We’re looking for someone to deploy, automate, maintain and monitor machine learning models and algorithms to make sure they work effectively in a production environment
• Day-to-day, you’ll collaborate with colleagues to design and develop state-of-the-art machine learning products which power our group for our customers
• This is your opportunity to turn your interests into a diverse and rewarding career, as you solve new problems and create smarter solutions in a non-stop innovation environment
• We're offering this role at associate vice president level

What you’ll do

As a Machine Learning Engineer, you’ll lead the planning and design of complex projects. Your daily responsibilities will see you codifying and automating machine learning model production, including pipeline optimisation, tuning and fault finding, as well as transforming data science prototypes and applying appropriate machine learning algorithms and tools.

We’ll need you to deploy and maintain adopted end-to-end solutions, including building metrics to improve system performance and identifying and resolving differences in data distribution which affect model performance.

In addition, you’ll be responsible for:

• Understanding the needs of our business stakeholders, and how machine learning solutions meet those needs to support the achievement of our business strategy
• Working with colleagues to produce machine learning models, including pipeline designs, development, testing and deployment to carry on the intent and knowledge into production
• Creating frameworks to make sure the monitoring of machine learning models within the production environment is robust
• Delivering models that adhere to expected quality and performance while understanding and addressing any shortfalls, for example through retraining
• Leading and working in an Agile way within multi-disciplinary data and the analytics teams to achieve agreed project and Scrum outcomes

The skills you’ll need

To be successful in this role, you’ll lead the ML solutions, feature engineering, solution designs. You’ll need experience of minimum five years with operationalising the ML solutions. Alongside this, you’ll have experience of Devops skills like CICD, Gitlab, Microservices, Flask framework You’ll also have good communication skills to engage with a wide range of stakeholders.

Furthermore, you’ll need:

• Experience in python libraries such as NumPy, Pandas, Scikit-learn, TensorFlow and PyTorch.
• Experience of building, deploying, and maintaining machine learning model, work with large datasets, leverage PySpark, Python, AWS, and other data processing and cloud technologies to create end-to-end ML solutions
• Experience of AWS cloud services like Sagemaker, EC2, S3 and Lambda
• An understanding of data processing frameworks such as Apache Kafka and Apache Airflow
• Experience in implementing MLOps practices for CI/CD pipelines, model monitoring, lifecycle management and familiarity with containerization technologies like Docker and orchestration tools like Kubernetes

Hours

45

Job Posting Closing Date:

10/04/2025