Principal AI Engineering Consultant in England

Principal AI Engineering Consultant in England

England Full-Time 27020 - 33024 £ / year (est.) Home office (partial)
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At a Glance

  • Tasks: Design and implement AI solutions that solve real-world problems.
  • Company: Join a global tech consultancy with a focus on innovation and growth.
  • Benefits: Paid certifications, mentoring, hackathons, and a supportive work culture.
  • Other info: Enjoy team socials, transparent progress reviews, and opportunities for career advancement.
  • Why this job: Make a real impact while working with cutting-edge technologies and top brands.
  • Qualifications: Experience in data or tech, problem-solving skills, and a passion for learning.

The predicted salary is between 27020 - 33024 £ per year.

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

  • 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.

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 Engineer, 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.

Core Skills

  • Languages: Python, SQL
  • LLMOps & MLOps: LangFuse, MLflow, Weights & Biases

Nice-to-have skills

  • API & Frontend Technologies: FastAPI, Flask, React, Next.js, TypeScript
  • Data Platforms: Databricks, Snowflake, BigQuery

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. 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?

Principal AI Engineering Consultant in England employer: Vivanti Consulting

At Vivanti, we pride ourselves on being an exceptional employer that fosters innovation and collaboration in the heart of the data landscape. Our vibrant work culture encourages continuous learning and professional growth, offering employees the chance to lead impactful projects while mentoring the next generation of engineers. With a focus on cutting-edge technology and a commitment to governance and efficiency, working with us means being part of a forward-thinking team dedicated to shaping the future of data.

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Contact Details:

Vivanti Consulting Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Principal AI Engineering Consultant in England

Join Local Tech Meetups

Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at Vivanti Consulting or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!

Contribute to Open Source Projects

Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to Vivanti Consulting.

Tap into Online Developer Communities

Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like Vivanti Consulting.

Explore Job Boards Specifically for Tech Roles

Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like Vivanti Consulting that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!

We think you need these skills to ace Principal AI Engineering Consultant in England

AI Solution Architecture
Machine Learning
Exploratory Data Analysis (EDA)
Large Language Models (LLMs)
MLOps
CI/CD Pipeline Design
Technical Leadership

Some tips for your application 🫡

Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.

Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at Vivanti Consulting.

Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Vivanti Consulting and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!

Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!

How to prepare for a job interview at Vivanti Consulting

Brush Up on Your Coding Skills

For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.

Know Your Tools and Frameworks

Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If Vivanti Consulting uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.

Showcase Your Projects

Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.

Prepare for Behavioural Questions

While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.