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Harnham

Head of Engineering

London
£100k – £130k/yr
Posted about 14 hours ago
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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

PwC·London, UK
£35,000/yr

Why you're a good match

Strong

Your 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.

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Strong

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.

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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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Skills

Leadership
Engineering Strategy
Cloud-Native Systems
Distributed Systems
MLOps
Kubernetes
Data Governance
Privacy
Secure System Design
Stakeholder Management
Machine Learning
Synthetic Data
APIs
Performance Optimisation
Scalability
Documentation

Location

London, England, United Kingdom

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