Harnham
Head of Engineering

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Head of Platform and Engineering
This is a rare opportunity to lead the engineering build of a cutting-edge synthetic data platform at the forefront of GenAI. You will shape how advanced machine learning and synthetic data solutions are delivered at scale, with a direct impact on business-critical decision making. The role offers a unique blend of leadership, technical ownership, and innovation in a fast-evolving space.
The Role
- Define and deliver the engineering strategy and architecture for a large-scale synthetic data and GenAI platform
- Build, lead, and develop a multidisciplinary team across software engineering, data engineering, and MLOps
- Design and scale distributed, cloud-native systems to support high-volume, asynchronous AI workloads
- Establish best practices across the full software development lifecycle to ensure reliability and quality
- Enable internal self-service through robust APIs, tooling, and clear documentation
- Embed security, privacy, and governance into all aspects of platform design
- Partner closely with data science, research, and product teams to operationalise advanced models
- Drive performance optimisation, cloud cost efficiency, and platform scalability
- Act as a technical leader, raising engineering standards across the wider organisation
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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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.
Your Skills and Experience


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- Strong commercial experience leading and scaling cross-functional engineering teams
- Proven expertise in architecting distributed systems in cloud-native environments, ideally GCP
- Deep understanding of machine learning platforms, MLOps pipelines, and model deployment
- Hands-on experience with Kubernetes and containerised infrastructure
- Familiarity with modern AI systems, including large language models and data-intensive workloads
- Solid understanding of data governance, privacy, and secure system design
- Ability to translate complex research and data science concepts into production-ready systems
- Strong stakeholder management skills with the ability to align technical and business goals
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