AI Innovator

About Us

Mantel is a forward-thinking IT services consultancy that leverages emerging technology to drive innovation and advance our clients' interests.

With a focus on AI, Digital, Cloud, Data & Security, we've experienced remarkable growth since our inception in 2017 and have been recognized as a Great Place to Work for six consecutive years.

We foster a flat structure with no hierarchy, allowing talented individuals to thrive and make a meaningful impact.

The Role

As a Senior Machine Learning Engineer with Mantel Group, you'll collaborate with like-minded experts to deliver cutting-edge AI solutions and strategic ML outcomes for our clients.

You'll play a key role in driving architectural decisions and implementing advanced machine learning systems.

Key Responsibilities

1. Lead AI solution design and architectural recommendations for complex data science use cases.
2. Develop and deploy robust AI solutions from proof-of-concepts to enterprise-scale applications, ensuring scalability and performance.
3. Apply and champion MLOps/LLM Ops best practices to create responsible, reusable, and automated pipelines for AI development and deployment.
4. Architect and stand up cloud services to efficiently run diverse AI workloads.
5. Automate and optimize repeatable routines within sophisticated ML workflows.
6. Provide technical advisory support as an AI consultant to clients, blending architectural vision with deep hands-on technical expertise using the latest AI/ML tools and methods.
7. Support and contribute significantly to pre-sales activities, including high-level conversations, technical solution design, compelling presentations, and expert input to writing proposals and Statements of Work (SOWs).
8. Drive thought leadership activities, including authoring blogs, delivering brown-bags, presenting whitepapers, and actively contributing to the wider AI/ML community.
9. Mentor and guide junior team members, fostering a culture of technical excellence and continuous learning.

Requirements

• Take ownership, always stepping up to help and prioritizing your teammates.
• Be a clear, kind communicator who makes sound decisions based on good judgment.
• Ability to use professional judgment while treating colleagues and clients with respect and compassion, and demonstrate a strong understanding of our five principles.
• Extensive commercial AI development experience across diverse industries and organizations, 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 organization, with the ability to influence and guide stakeholders.
• Exceptional modern software engineering skills: confident design and implementation of well-structured code bases and management of 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 optimization 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.

What We Offer

• A supportive environment that encourages career growth and development.
• A hybrid working approach that balances flexibility and collaboration.
• A competitive package that includes a new phone, laptop, and swag.
• A personalized approach to professional development through our My Deal program.
• Flexible Personal Leave options for those unplanned moments in life.
• A certified Family Inclusive Workplace committed to improving wellbeing at work.