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Principal Machine Learning Engineer

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Job Title: Principal Machine Learning Engineer
Location: London (Hybrid)
Company: Leading applied AI consultancy
About the Company
Founded almost 20 years ago, on the belief that AI would be the most important technology of our time, this applied AI consultancy has worked with 350+ global clients, spanning government, finance, retail, energy, life sciences, and defence. Delivering human-centric AI that moves the needle, not chases hype.
About the Role
As Principal Machine Learning Engineer, you'll be the definitive technical authority on ML engineering across the organisation. You'll own the architectural vision for the most complex, highest-stakes programmes, shape engineering strategy at an organisational level, and act as a trusted technical partner to senior leadership and executive clients.
This isn't just project leadership, you'll be a force multiplier, shaping engineering culture, elevating the people around you, and building technical foundations designed to last.
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.
Graduate Consultant — 2026 Scheme
Why you're a good match
StrongYour 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.
See breakdownIt 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.
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.
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 You'll Do
- Define and own the organisation-wide technical vision for ML engineering
- Lead delivery on flagship, business-critical ML programmes across multiple teams and clients
- Drive strategic adoption of new tools, platforms, and ways of working
- Coach and develop senior engineers and engineering managers
- Act as principal technical voice in C-suite and executive client engagements
- Provide technical authority on high-value sales and pre-sales opportunities
- Partner with Data Science, Commercial, and Infrastructure leadership on strategy
What You'll Bring
- Recognised authority in ML engineering, with deep expertise across multiple domains
- Expert-level Python and a proven record building production-grade ML systems at scale
- Expertise across multiple major cloud providers, with experience architecting complex, full-stack AI platforms
- Deep MLOps, containerisation, and orchestration expertise at scale
- A track record developing senior engineering talent
- A visible external profile, publications, conference talks, open-source leadership, or industry recognition
- Comfort operating at executive level, translating technical decisions into commercial outcomes


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Interview Process
Five stages
Benefits
- Unlimited annual leave
- Private healthcare & dental
- Enhanced parental leave
- Flexible & hybrid working
- External coaching support
Don't meet every requirement? Apply anyway if you're excited about the role and bring key strengths.
“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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