Harnham
Senior Machine Learning Engineer

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Principal Machine Learning Engineer
Remote (UK) | Up to £110,000 Base + Bonus
If you enjoy solving difficult machine learning problems at scale and want a role where your work directly influences product and commercial decisions, this could be a great fit. You'll join a business where ML is at the core of what they do, with the freedom to shape technical direction while staying close to the engineering.
The Company
They are a profitable, AI-focused technology company that has grown significantly in recent years and operates across multiple international markets. Machine learning is central to their product, powering large-scale decision making and optimisation systems in real time.
The engineering culture is highly collaborative, with a strong focus on ownership, experimentation and continuous improvement. It's the kind of environment where technical ideas are valued and good engineers have a genuine influence on the direction of the platform.
The Role
As a Principal Machine Learning Engineer, you'll play a key role in shaping the future of the ML function while remaining hands-on with model development and platform engineering.
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.
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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.
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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.
You'll be responsible for:
- Setting technical direction across machine learning systems and infrastructure
- Building and optimising recommendation systems, bidding algorithms and audience targeting models
- Developing LTV, churn and attribution models used in production
- Leading work across MLOps, model monitoring, automated retraining and ML observability
- Improving ML platforms, deployment pipelines and experimentation frameworks
- Partnering with engineering and business leaders to align technical decisions with commercial goals
- Mentoring experienced engineers and contributing to architecture decisions
- Driving best practice across machine learning engineering and production systems
Your Skills & Experience
- Strong experience building and deploying machine learning models in production
- Excellent Python skills and experience with frameworks such as PyTorch or TensorFlow
- A solid background in MLOps, model lifecycle management and production ML systems
- Experience working on recommendation systems, optimisation problems or predictive modelling
- Strong software engineering fundamentals and an interest in scalable systems
- Ability to communicate technical concepts clearly to a range of stakeholders
- Experience in AdTech, programmatic advertising, DSPs or real-time bidding would be highly advantageous
- A PhD in a STEM subject would be a bonus, not a requirement


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What They Offer
- Up to £110,000 base salary
- Bonus taking total package to approximately €150,000 OTE
- Fully remote role within the UK
- 4.5 day working week with Friday afternoons off
- Longevity bonus every two years
- Flexible working culture built around trust and autonomy
- Mental health and wellbeing support
- The opportunity to shape both the technical strategy and future growth of the ML team
How to Apply
If you're looking for a Principal Machine Learning Engineer role where you can influence strategy, stay hands-on technically and work on genuinely interesting machine learning challenges at scale, please apply to find out more.
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