Senior Machine Learning Engineer
Mantel Group Pty LtdWorkFromHome, Southland, New Zealand15 hours ago
Job descriptionPlaying a leading technical advisory role as an AI consultant to clients, blending architectural vision with deep hands‑on technical expertise using the latest AI / ML tools and methods. Supporting and significantly contributing to pre‑sales activities, including high‑level conversations, technical solution design, compelling presentations, and expert input to writing proposals and Statements of Work (SOWs). Driving thought leadership activities, including authoring blogs, delivering brown‑bags, presenting whitepapers, and actively contributing to Mantel Group and the wider AI / ML community. Mentoring and guiding junior team members, fostering a culture of technical excellence and continuous learning. 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. Ability to use professional judgement while treating colleagues and clients with respect and compassion, and a demonstrated ability to display our Mantel five principles. Extensive commercial AI development experience across diverse industries and organisations, demonstrating a track record of successful project delivery. Deep commercial experience in modern AI solution development, including designing and implementing production‑grade machine learning applications. Proven expertise in deploying AI solutions into production with robust and repeatable ML Ops / LLM Ops practices. Significant consulting experience, either with external clients or internally within a large organisation, with the ability to influence and guide stakeholders. Exceptional modern software engineering skills : You can confidently design and implement well‑structured code bases and manage the full software development lifecycle, including advanced CI / CD, TDD, monitoring, and logging strategies. Expert‑level programming skills in at least one applicable language, such as Python, with a strong understanding of performance optimisation and best practices. Advanced cloud engineering skills to architect, use, and deploy complex cloud services in at least one major cloud stack (e.g., AWS, GCP, Azure). A comprehensive understanding of traditional data science and modern AI concepts, including Generative AI, Agentic AI, and their practical applications. A strong grasp of the entire machine learning development cycle and MLOps principles, including advanced model development, deployment, data versioning, and governance. Demonstrable history of leading and delivering significant ML projects, or evidence of extensive self‑learning and contributions to the field. Deep exposure to multiple ML technologies and / or frameworks such as Sagemaker, Vertex AI, Azure AI, Snowflake, Databricks / MLflow, AI API Services, TensorFlow, PyTorch, Scikit‑Learn etc., with extensive demonstrable production experience. Advanced ability to research, evaluate, and select the optimal tools and technologies for a broad range of complex technical problems. A self‑starting attitude, a hands‑on approach, and the ability to thrive and lead in ambiguous environments, proactively finding solutions. Exceptional problem‑solving skills, tackling highly complex technical challenges with innovative solutions. A values‑driven and practical approach to your work. A genuine passion for and deep connection to the data science and ML community, actively engaging in knowledge sharing and collaboration. 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. You’ll get all the tools you need to hit the ground running including a new phone, laptop & swag. 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 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. 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.
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. 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
Senior Machine Learning Engineer
As a Senior Machine Learning Engineer with Mantel Group, you will work with other smart, passionate and skilled people to deliver high-quality AI solutions and strategic ML outcomes to our clients. You'll be a key driver in architectural decisions and the implementation of advanced machine learning systems.
Your day-to-day
- Leading AI Solution design and architectural recommendations for complex data science and AI use cases.
- Developing and deploying robust AI solutions from proof-of-values to enterprise-scale applications, ensuring scalability and performance.
- Applying and championing ML Ops / LLM Ops / Agentic Ops best practice principles to create responsible, reusable, and automated pipelines for AI development and deployment.
- Architecting and standing up cloud services to efficiently run diverse AI workloads.
- Automating and optimising repeatable routines within sophisticated ML
workflows.
What you’ll need to be successful
We value diverse skill‑sets, and don't necessarily require that you're skilled with all of the above. Even if you feel you don't fit all the experience / skills listed above, we still encourage you to apply or get in touch.
What you can expect from us
Click ‘Apply for this job’ to be considered for this role and our Talent team will be in touch.
We value a diverse workplace and strongly encourage people from all backgrounds and minority groups to apply.
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Machine Learning Engineer • WorkFromHome, Southland, New Zealand
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