DVF Recruitment
AI & Machine Learning Manager

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We’re looking for an experienced AI & Machine Learning Manager to join a leading professional services organisation and play a key role in shaping its AI strategy.
This is a senior technical leadership position responsible for the strategy, design and implementation of AI and ML solutions across the firm. You’ll lead a talented team of AI/ML professionals, work closely with senior stakeholders and oversee external technology partners.
Key Responsibilities
- Lead the technical strategy and architecture for AI and ML solutions.
- Identify and deliver AI use cases aligned to business objectives.
- Oversee the full AI lifecycle, from model development and validation through to deployment and integration.
- Lead, mentor and develop a high-performing AI Engineering team.
- Manage third-party technology providers and service performance.
- Partner with senior business stakeholders to demonstrate the value and impact of AI.
- Drive innovation, continuous improvement and emerging AI opportunities.
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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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.
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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.
About You
You’ll bring:
- Extensive experience in AI, machine learning, deep learning and model development.
- Strong programming skills in Python, R or C#.
- Experience with TensorFlow, PyTorch or scikit-learn.
- Cloud experience across Azure, AWS or GCP — Azure desirable.
- Experience using AI coding assistants such as GitHub Copilot, Claude Code or Codex, with strong engineering, security and testing practices.
- Proven experience leading ML, data science or AI engineering teams, ideally across global environments.
- Strong project/programme management and IT strategy experience.
- Excellent stakeholder management skills and a strong understanding of emerging AI and technology trends.


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This is an exciting opportunity to shape the future of AI within a forward-thinking organisation, combining technical leadership, innovation and people management at a senior level.
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