At a Glance
- Tasks: Design and develop AI/ML models to solve real-world business challenges.
- Company: Join Vivanti, a tech haven for innovative minds making an impact.
- Benefits: Growth opportunities, mentoring, paid certifications, and fun team events.
- Other info: Dynamic environment with a focus on personal and professional development.
- Why this job: Be at the forefront of AI technology and shape the future with your skills.
- Qualifications: Experience in Python, ML frameworks, SQL, and MLOps practices.
The predicted salary is between 123750 - 151250 $ per year.
The Role
As an AI/ML Engineer, you're the problem solver — turning complex data into intelligent models and production-ready AI solutions.
What you might work on
- Designing, training, and fine-tuning machine learning models and LLMs to solve high-value business problems
- Building robust MLOps pipelines to transition models smoothly from experimental notebooks to production
- Setting up and maintaining the production components needed to distribute business intelligence downstream: model registries, job orchestration, experimentation, run telemetry, and the like
- Developing Retrieval-Augmented Generation (RAG) architectures and agentic workflows for enterprise applications
- Ensuring AI solutions are scalable, secure, explainable, and cost-effective
- Collaborating closely with Data Engineers, Platform Engineers, and client stakeholders to embed intelligence into existing ecosystems
What we're looking for from you
- Models in production, not just in notebooks — you've shipped something real, and you've dealt with what happens after it goes live.
- Strong Python and the ML stack — Py Torch or Tensor Flow, Scikit-learn, and the tooling around them.
You should maintain a curiosity for unseen tooling and an appreciation for the fundamental concepts in ML.
- Solid SQL experience is a must — including exposure to the entire database management lifecycle.
Experience with medallion architecture and the implementation of data products is strongly favoured.
- Real MLOps discipline — MLflow, Docker (Kubernetes is a bonus), CI/CD, and Terraform.
You know what it takes to make models traceable, repeatable, and accessible to controlled development.
- Databricks or Snowflake experience — MLflow, Feature Store, Cortex AI.
Certification is ideal, but if you're not certified, we'll pay for it; we'll expect demonstrable hands-on experience either way.
- Cloud fluency — working knowledge of at least one of Azure ML, AWS Sage Maker or GCP Vertex AI.
- RAG know-how — you've either implemented RAG to service a business need, or you can explain the implementation process end to end: from chunking strategies through to query processing and node searching.
- Cost and performance instincts — you can illustrate and connect business value to the total cost of ownership for ML workloads, and you can distinguish the line between modelling utility and novelty.
- Evaluation rigour — you can prove a model is doing what you claim, and know how best to demonstrate that to business-level stakeholders (backtesting, known unknowns, multicollinearity risks, etc.).
- Client-ready communication — you can explain a technical trade-off to a non-technical stakeholder in language they understand.
- What You'll Get
Your work matters and so do you.
That's why we back your skills with a structure that supports your development, celebrates your wins, and helps you keep growing — professionally and personally.
Here's what's waiting for you
- A platform for growth: Work across industries, clients and technologies that stretch your thinking and build your personal and professional skills.
- Mentoring Program: With a Senior Support Lead.
- 360° Progress Reviews: Annual reviews based on honest feedback and clear goals.
- Guilds & Regular Training: Weekly training and learning from your peers and our key vendor partners.
- Paid Certifications: Across all major technologies.
- Hackathons & Innovation Days: Challenge yourself, build cool stuff.
- Kudos & Recognition Programs: We celebrate wins, reward impact and offer long-term incentives.
- Socials & Team Days: Monthly "fun for the sake of it" days, Friday socials, office drinks and snacks, video games, board games, and an F1 racing simulator.
- Final Word
If you're looking for the place where your growth will go into overdrive, where you'll work with great humans, get access to cutting-edge tools and genuinely enjoy the ride…
Welcome to Vivanti.
The AI Native People Shaping Tomorrow
Vivanti was founded as a haven for talented technologists who want to make a real impact for their clients.
Our mission is to transform businesses and to create a smarter, more connected world through the power of data and technology.
Together, we ar e making the future happen — today.
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AI/ML Engineer employer: Vivanti Consulting
At Vivanti Consulting, we pride ourselves on fostering a dynamic work culture that encourages innovation and collaboration. As a Senior Analytics Consultant, you will have access to cutting-edge tools and technologies, along with ample opportunities for professional growth and development. Our commitment to employee well-being and a supportive environment makes us an exceptional employer in the heart of the analytics landscape.
