Data Science & AI Instructor

Omnis Partners; Greater London; Hybrid; GBP 90,000 - 120,000; Full time

Job summary

Omnis Partners in London is seeking a Data Science & AI Instructor to design, teach, and deploy practical data solutions across client environments. You will blend hands-on engineering with scalable training programs to elevate production capabilities.

You’ll start by shaping a new generation of engineers, teaching how to build in data, AI, and modern back-end systems, drawing on your commercial experience. Then you’ll move into delivery leadership with end clients.

Qualifications

• Degree in STEM with strong math/computing background.
• Commercial background delivering data science and AI end-to-end.
• Proven ability to lead and deploy engineering teams onsite with clients.

Responsibilities

• Educate and mentor engineers, data scientists and AI engineers.
• Shape training content and ensure it lands in production.
• Lead client engagements and oversee delivery with deployed teams.

Skills

Data science fundamentals

Commercial delivery

Client-facing consulting

Education

Degree in STEM

Job description

Data Science & AI Instructor

PE-Backed Data & AI Consulting Firm

Build. Teach. Deploy

?London, Hybrid

?£90k - £120k plus bonus

We are partnered with a PE Backed global Data & AI Consulting firm looking to completely re-imagine how they train and deploy their talent pools.

With aspirations to reach Unicorn status within 3 years, you'll be joining a rocket ship already successfully disrupting the data and AI consulting market.

You’ll start by helping shape a new generation of engineers — people learning how to build properly across data, AI, and modern systems, teaching what actually works in production, based on your own commercial experience.

Then your role evolves.

As those engineers move into client environments, you go with them — not as a trainer, but as a consultant. You’ll stay hands‑on, work directly with end clients, and take ownership of delivery. You’ll lead from the front, guiding both the technical direction and the people you’ve helped develop.

It’s a deliberate blend: build capability, then deploy it.

The people who tend to lean into this are engineers with a strong foundation in AI, data, or backend systems who’ve already operated in consulting or client‑facing environments. They’ve built real systems, understand the gap between theory and production, and naturally find themselves mentoring others — whether that’s through workshops, internal training, or just being the person others go to when things get complex.

You don’t need to have been a full‑time instructor. But you do need to care about how things are built, how they’re taught, and how they actually land in the real world.

What makes this different is that you’re not stepping away from engineering to teach, and you’re not stuck in delivery without broader impact. You get both. You help shape how people are trained, and then you see that training hold up — or break — in real client environments, and refine it accordingly.

If you’re starting to enjoy the mentoring side of engineering, but don’t want to lose the technical edge or the pace of real‑world delivery, this is a pretty rare way to do both without compromise.

Skills & Experience Required

• Educated to degree level in a STEM subject; Mathematics, Statistics, Engineering, Chemistry, Physics, Computer Science, Machine Learning
• A commercial background in building and delivering data science and AI solutions end to end
• Ability to lead teach and deploy teams of engineers, data scientists and AI engineers onsite with end clients - ideally with some formal experience as an instructor from the likes of Kubrick, Brainstation, CodeFirstGirls, General Assembly, LE Wagon, Corndell, Ten10, La Fosse Academy etc.
• Strong consulting skills, ability to work directly with end customers on shaping data and AI solutions, overseeing delivery from deployed teams