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Vivanti Consulting

Principal AI Engineering Consultant

London
Posted about 20 hours ago
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Your Career, Accelerated

You’ve got the skills. The curiosity. The hunger to grow, try new things and make a real impact.

We are a growing global tech consultancy. Some of the world’s biggest businesses turn to us to help bring their data, AI, cloud and digital solutions to life.

We are home base for talented technologists who want more and are looking to take their career to the next level by having more learning, more variety, more support and more chances to do meaningful work. If that sounds like the kind of place you’d thrive in, keep reading.

What You’ll Get

What we bring is the platform to help you go further. At Vivanti, you're not just taking a job, you're investing in your growth.

Here’s a taste:

  • A platform for growth: Work across industries, clients and technologies that stretch your thinking and build your personal and professional skills. Support growth of our UK&I business.
  • Access global businesses: Work with some of the world's biggest brands.
  • IP, frameworks and accelerators: We share what we know. Our playbooks and toolkits fast-track your success on projects.
  • All the shiny tech: Databricks, Snowflake, Azure, GCP, AWS, Anthropic, OpenAI, Mistral - you’ll use it, play with it and maybe even break it (responsibly). This extends to coding tools such as Claude Code, Cortex Code, Gemini CLI and OpenAI’s Codex (when appropriate).
  • Leadership who have your back: You’ll always have a guide on your journey, not just be thrown into the deep end.
  • Serious learning support: Paid certs, weekly training, guilds, hackathons, mentoring and more.
  • Progress that’s transparent: Annual reviews based on 360° feedback, just clear goals, solid feedback and real growth. No politics, and no guesswork.
  • Kudos and rewards: We celebrate wins, reward impact and offer long-term incentives.
  • Real connection: From Friday socials to annual team building days - we work hard and play harder.

Reasons to use Rodeo

I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?

Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.

Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.

Start with a chat, not a search bar

Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.

P

Graduate Consultant — 2026 Scheme

PwC·London, UK
£35,000/yr

Why you're a good match

Strong

Your economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.

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It searches the market for you

Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.

Why you're a good match

You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.

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Strong

Experience fit

Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.

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Strong

Only hits

No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.

What We’re Looking For

We're on the hunt for people who love solving problems, thinking critically and staying curious. If you’ve worked in data or tech before - amazing. If you’ve got a brain that enjoys untangling complex stuff and applying what you’ve learned - even better!

We're less about ticking boxes and more about whether you'd thrive in this environment:

  • Do you get excited about helping clients move forward?
  • Do you want to learn from people who are really good at what they do?
  • Are you keen to experiment with the latest tools and ideas?
  • Can you balance working independently and being a great teammate?

If you said “yes” more than once, let’s talk.

Key Skills

As a Principal AI Engineering Consultant, you are the architect and the visionary—shaping how AI systems solve real-world problems.

What you might work on:

  • Architecting AI Solutions: Design and lead the implementation of end-to-end AI & ML systems, from discovery to production; bridge the gap between technical and non-technical stakeholders by engaging design and product thinking principals.
  • Taking AI Application to Production: Bridge research and production by collaborating with engineers to deploy and monitor models; transforming machine learning models into high-performance APIs and microservices.
  • Exploratory Data Analysis: Conduct deep exploratory data analysis (EDA) to find the "signal" in the noise.
  • Larger Language Models (LLMs): Build sophisticated generative AI applications using LLMs, Agentic frameworks, Retrieval-Augmented Generation (RAG) and fine-tuning.
  • Machine Learning: Design and validate predictive models that solve complex business challenges.
  • LLMOps & MLOps: Design robust CI/CD pipelines for AI & machine learning to ensure models are reproducible, monitored, and performant.
  • Technical Leadership: Act as a bridge between business stakeholders and engineering teams, translating complex needs into technical roadmaps.
  • Mentorship: Guide senior and mid-level engineers, fostering a culture of technical excellence and continuous learning.

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Core Skills

Languages: Python, SQL

AI & ML Frameworks: PyTorch, TensorFlow, Scikit-learn, LangChain, LlamaIndex, Hugging Face, ADK, LlamaIndex, Haystack, AutoGen, Pandas

LLMOps & MLOps: LangFuse, MLflow, Weights & Biases

AI Models: Anthropic, OpenAI, Mistral

Cloud ML Services: Snowflake Cortex, AWS Sage Maker, Azure Machine Learning, Google Vertex AI

Infrastructure: Docker, Kubernetes, Terraform

Nice-to-have skills

API & Frontend Technologies: FastAPI, Flask, React, Next.js, TypeScript

Data Platforms: Databricks, Snowflake, BigQuery

Data & Orchestration: Spark, Airflow, dbt, Vector Databases (Pinecone, Milvus, Weaviate)

This list is not exhaustive. It acts as a guide to the nature of the work and is not a comprehensive list of all activities.

Perks & Benefits

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:

  • Mentoring Program – with a Senior Support Lead
  • 360° Progress Reviews – honest feedback, not fluff
  • Guilds & Regular Training – learn from your peers
  • Paid Certifications – across all major technologies
  • Hackathons & Innovation Days – challenge yourself, build cool stuff
  • Kudos & Recognition Programs – great work doesn’t go unnoticed
  • Socials & Team Days – Book Club, Data & Drinks, Team Building days, and more

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.

Trusted by 25,000+ job seekers

“It took my CV and asked me questions relevant to understanding what kind of jobs to suggest for me. Suggestions were almost perfect. Jobs were exactly what I’ve been looking for.”

Jessica, London

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Skills

Python
SQL
Pytorch
Tensorflow
Scikit-learn
LangChain
LlamaIndex
Hugging Face
LangFuse
MLflow
Weights & Biases
AWS Sage Maker
Azure Machine Learning
Google Vertex AI
Docker
Kubernetes

Location

London, England, United Kingdom

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