The Codebase
Artificial Intelligence Developer

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Company Description
The Codebase is an Artificial Intelligence and software engineering company designed for a world where technology is central to every competitive business. Rather than operating as a traditional software house or generic AI consultancy, The Codebase positions itself as a full-spectrum technology partner. The organization works at the intersection of human ambition and machine intelligence to deliver advanced, tailored solutions. Team members collaborate with clients to build scalable systems that drive innovation, efficiency, and strategic advantage. The culture emphasizes technical excellence, curiosity, and practical impact.
Role Description
The Artificial Intelligence Developer will design, implement, and optimize AI models and software solutions that address complex business challenges. Day-to-day responsibilities include:
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.
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No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
- Developing and testing algorithms
- Building and refining neural network architectures
- Integrating AI components into production-grade software systems
- Collaborating with cross-functional teams to understand requirements
- Performing data preparation and feature engineering
- Iteratively improving model performance


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The developer will also contribute to code reviews, documentation, and deployment workflows to ensure reliability and scalability. This is a full-time, on-site role based in England, United Kingdom.
Qualifications
- Strong foundation in Computer Science and Software Development, including data structures, algorithms, and software engineering best practices.
- Hands-on experience with Neural Networks and Pattern Recognition, with the ability to design, train, and evaluate machine learning models.
- Practical expertise in Natural Language Processing (NLP), including working with modern NLP frameworks and large language models.
- Proficiency in programming languages commonly used in AI (such as Python), and familiarity with ML frameworks (e.g., TensorFlow, PyTorch).
- Ability to work with real-world datasets, perform data preprocessing, and apply statistical and analytical methods.
- Strong problem-solving skills, attention to detail, and the ability to communicate complex technical concepts clearly to diverse stakeholders.
- Bachelor’s degree or higher in Computer Science, Artificial Intelligence, Engineering, Mathematics, or a related field, or equivalent practical experience.
- Experience building and deploying AI solutions in production environments and working within collaborative, agile development teams is beneficial.
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