Machine Learning Engineer - AWS

1.Leads the extraction and analysis of big data through the application of Data Science & AI techniques to generate insight from data to support decision-making across the business or to embed in new products and services. 2.Drives model development, including data exploration, training data, feature extraction, validation and scoring. 3.Drives the development of insightful visualisations to make sophisticated analyses accessible to a broad audience. 4.Drives initiatives related to fairness, ethics, interpretability, safety, robustness, and privacy in the context of artificial intelligence and machine learning. 5.Mentors other Data Science & AI professionals, helping to improve the team's abilities by acting as a technical resource. 6.Champions, continuously develops and shares with team knowledge on emerging trends and changes in machine learning and artificial intelligence.

• 2-3 years+ of proven success at applying Data Science approaches or developing and shaping AI algorithms and models. (Mandatory)

• Cloud Platforms - Experience with AWS cloud services for scalable AI & data solutions. (Mandatory)

• Experience in programming languages such as Python/Java and strong knowledge of AI/ML libraries. (Mandatory)

• Solid understanding of software architecture, data modeling, and various data structures.

• Knowledge of data governance practices to ensure data quality, security, and compliance.

• Demonstrates a comprehensive understanding of ethical considerations related to artificial intelligence and possesses the capability to develop and implement fair and responsible AI solutions.

• 2-3 years+ of proven success at applying Data Science approaches or developing and shaping AI algorithms and models. (Mandatory)

• Cloud Platforms - Experience with AWS cloud services for scalable AI & data solutions. (Mandatory)

• Experience in programming languages such as Python/Java and strong knowledge of AI/ML libraries. (Mandatory)

• Solid understanding of software architecture, data modeling, and various data structures.

• Knowledge of data governance practices to ensure data quality, security, and compliance.

• Demonstrates a comprehensive understanding of ethical considerations related to artificial intelligence and possesses the capability to develop and implement fair and responsible AI solutions.

The skills you'll need

Data Modelling Data Wrangling Programming/Scripting Business Analysis Cloud Computing Artificial Intelligence/Machine Learning Data Analysis Statistical Analysis Artificial Intelligence (AI) Ethics Research Algorithm Design Data Acquisition Data Model Management Decision Making Data Storytelling Growth Mindset Inclusive Leadership

Our leadership standards

Looking in: Leading inclusively and Safely I inspire and build trust through self-awareness, honesty and integrity. Owning outcomes I take the right decisions that benefit the broader organisation.

Looking out: Delivering for the customer I execute brilliantly on clear priorities that add value to our customers and the wider business. Commercially savvy I demonstrate strong commercial focus, bringing an external perspective to decision-making.

Looking to the future: Growth mindset I experiment and identify opportunities for growth for both myself and the organisation. Building for the future I build diverse future-ready teams where all individuals can be at their best.