AI/ML Scientist

Aimlroles; Malvern (AR); Hybrid; USD 90,000 - 130,000; Full time

Job summary

Vanguard is seeking an AI/ML professional to translate business needs into scalable AI/ML solutions using techniques like NLP, LLMs, and agentic automation. You will partner with data science and engineering to deploy responsibly governed models and monitor their impact.

The role emphasizes collaboration across teams, clear communication, and delivering measurable business value in real workflows, within a hybrid work model.

Qualifications

• Undergraduate degree or equivalent in CS, Statistics, ML, Data Science, Electrical Engineering, or related field; graduate degree preferred
• 1–2 years of experience developing and implementing AI/ML solutions with ML, LLMs, NLP, and data science techniques
• Strong foundation in ML and statistical methods including regression, clustering, decision trees, neural networks, deep learning, and supervised/unsupervised learning
• Experience with TensorFlow, PyTorch, scikit-learn, NLP libraries, plus cloud, big data, scalable data processing, SQL/NoSQL
• Strong communication skills and ability to work effectively in cross-functional environments

Responsibilities

• Identify high-value AI/ML use cases with stakeholders and translate business needs into solution approaches, success metrics, and delivery plans
• Develop and support AI/ML solutions using machine learning, NLP, Generative AI, and LLM-based approaches such as retrieval-augmented generation and agentic workflow automation
• Collaborate across data science and engineering teams to deploy scalable solutions with evaluation, monitoring, guardrails, and alignment to enterprise risk and responsible AI standards
• Communicate technical concepts clearly to technical and non-technical stakeholders

Skills

Strong communication skills

Cross-functional collaboration

NLP libraries knowledge

Education

Undergrad degree or equivalent in CS/Stats/ML/Data Sci/EE

Graduate degree preferred

Tools

TensorFlow

PyTorch

scikit-learn

NLP libraries

Job description

What You’ll Do

• Identify high-value AI/ML use cases with stakeholders and translate business needs into solution approaches, success metrics, and delivery plans
• Develop and support AI/ML solutions using machine learning, NLP, Generative AI, and LLM-based approaches such as retrieval-augmented generation and agentic workflow automation
• Collaborate across data science and engineering teams to deploy scalable solutions with appropriate evaluation, monitoring, guardrails, and alignment to enterprise risk and responsible AI standards
• Communicate technical concepts clearly to technical and non-technical stakeholders

Required Qualifications

• Undergraduate degree or equivalent experience in Computer Science, Statistics, Machine Learning, Data Science, Electrical Engineering, or a related field; graduate degree preferred
• 1 to 2 years of experience developing and implementing AI/ML solutions or projects, with experience applying machine learning, LLMs, NLP, and data science techniques to business problems
• Strong foundation in machine learning and statistical methods, including regression, clustering, decision trees, neural networks, deep learning, and supervised and unsupervised learning
• Experience with tools such as TensorFlow, PyTorch, scikit-learn, NLP libraries, or similar technologies, plus strong technical knowledge of cloud, big data, scalable data processing, SQL, and NoSQL databases
• Strong communication skills and ability to work effectively in cross-functional environments

What Success Looks Like

• AI/ML solutions deliver measurable business value in real workflows
• LLM and Agentic capabilities are applied to practical use cases
• Business partners see you as a strong problem solver and collaborative technical partner

Sponsorship

Vanguard is not offering visa sponsorship for this position.

About Vanguard

At Vanguard, we don't just have a mission—we're on a mission.

To work for the long-term financial wellbeing of our clients. To lead through product and services that transform our clients' lives. To learn and develop our skills as individuals and as a team. From Malvern to Melbourne, our mission drives us forward and inspires us to be our best.

How We Work

Vanguard has implemented a hybrid working model for the majority of our crew members, designed to capture the benefits of enhanced flexibility while enabling in-person learning, collaboration, and connection. We believe our mission-driven and highly collaborative culture is a critical enabler to support long-term client outcomes and enrich the employee experience.