Machine Learning Engineer
About us
Mantel is an Australian-owned IT Professional Services consultancy, focused on emerging technology to help advance our clients by leveraging AI, Digital, Cloud, Data & Security technology. We are a fully AI-enabled technology consultancy and the partner that bridges the gap between blue-sky ambition and practical steps to deliver value. Since our inception in November 2017, we have experienced remarkable growth across Australia & New Zealand and are honoured to be recognised as a Great Place to Work for 6 years in a row!
We hire smart and talented people and get out of their way. As a principle-based organisation, we have a flat structure with no hierarchy. By focusing on our five principles and not getting caught up in red tape, we trust you to get the job done!
Data Working in data at Mantel means you'll be ahead of the curve. You can align to a particular cloud platform or remain cloud agnostic, specialising in data engineering, machine learning, analytics, or data science. You'll design and scale enterprise-level, fully automated Agentic AI solutions, and speed up data platform migrations.
About the role
As a Machine Learning Engineer with Mantel Group you will work with other smart, passionate and skilled people to deliver high quality AI solutions to our clients.
Your day-to-day
Our projects and clients vary a lot - but here’s a typical snapshot of some of your responsibilities:
AI Solution design and recommendation on approach.
Developing AI solutions from pilots to enterprise applications.
Applying MLOps/LLM Ops best practice principles to create responsible, reusable pipelines for AI development.
Standing up cloud services to run AI workloads.
Playing a technical advisory role as an AI consultant to clients and for internal initiatives.
Supporting pre-sales activities including conversations, technical solution design, presentations and input to writing proposals and SOWs.
Contributing to thought leadership activities, including blogs, brown-bags and whitepapers, for Mantel Group and the wider AI/ML community.
Use professional judgement while treating colleagues and clients with respect and compassion, and a demonstrated ability to display our Mantel principles
What you’ll need to be successful:
Ability to use professional judgement while treating colleagues and clients with respect and compassion, and a demonstrated ability to display our Mantel five principles.
Commercial AI development experience across different industries and organisations.
Commercial experience of modern AI solution development.
Ideally, experience of developing AI solutions into production with repeatable ML Ops/LLM Ops practices.
Consulting experience, either with external clients or internally within an organisation.
Fundamental modern software engineering skills (can design and implement a well structured code base and software development cycle, including CI/CD, TDD, monitoring/logging).
Solid programming skills in at least one applicable language, such as Python.
Cloud engineering skills to architect, use and deploy cloud services in at least one cloud stack.
An understanding of traditional data science and modern AI concepts (such as Generative AI and Agentic AI).
A growth mindset and approach to ongoing self learning that can be demonstrated.
Exposure to one or more ML technologies and/or frameworks such as Sagemaker, Vertex AI, Azure AI, Snowflake, Databricks /ML Flow, AI API Services, and/or TensorFlow, Pytorch, Scikit-Learn etc, with demonstrable production experience
At Mantel, we want you to be yourself. We trust our team members to use their professional judgment while treating colleagues and clients with respect, compassion, and professionalism in alignment with our five principles.
You take ownership, always stepping up to help and prioritising your teammates. You're also a clear, kind communicator who makes sound decisions based on good judgement.
What you can expect from us:
We believe in unique experiences for all. Our My Deal program allows you to tailor your yearly plan, with the support of your Leader, to decide on what’s most important to you. That might be extra professional development, extra annual leave, time to work on your side hustle, or something else completely different! One size does not fit all.
You’ll get all the tools you need to hit the ground running including a new phone, laptop & swag.
A true investment in your AI-first career. We are a fully AI-enabled consultancy and provide you with the tools to lead. This includes access to the Mantel AI Gateway, our secure, centralised platform with multiple AI models, plus a dedicated monthly budget and a safe environment to experiment and innovate.
You’ll be genuinely supported by an organisation that cares about not only you but your family as well, Mantel offers Flexible Personal Leave options for those unplanned moments in life.
We support a flexible hybrid approach to working which is guided by our principles; we trust each other to “make good choices” about the best workplace locations for the requirements of the project, role and client. This can change based on our client needs.
We know you won’t have one job for life. At Mantel, we believe in supporting our team to take their career in a direction that aligns with their passions. We have internal opportunities across Cloud, Data, Digital, Delivery & Security.
Our elite partnerships are a direct result of our deep platform mastery. For you, this means you'll be working alongside teams with the highest levels of technical expertise and tackling the most complex, high-profile projects on the market. Check out our partner awards and recognitions here.
Mantel is a certified Family Inclusive Workplace, which means we are committed to improving your wellbeing at work through leading practices on flexible work, parental leave, family care and family wellbeing
We value a diverse workplace and strongly encourage people from all backgrounds and minority groups to apply.
- Department
- Data & AI
- Role
- AI and ML Engineering
- Locations
- Perth
- Remote status
- Hybrid
- Employment type
- Full-time