James Adams
Senior Software Engineering Manager

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London or Manchester | Hybrid, two days in the office | £150,000 to £160,000 plus bonus and pension
Our client is an established international organisation looking for a hands on Senior Engineering Manager to lead several teams responsible for business critical applications. This is a senior leadership role with a strong technical focus and a clear mandate to modernise platforms and explore where AI can deliver practical value.
You will lead engineering managers and their teams, set technical direction, and oversee both the improvement of existing systems and the delivery of new applications. The role calls for someone who can work at a strategic level while staying close enough to the technology to challenge designs, recognise coding problems and guide engineers towards sound solutions.
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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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AI is a significant part of the brief. Our client wants someone with genuine enthusiasm for its potential and the experience to judge where it should be used. You will help teams explore AI within products and development processes, while understanding the limitations, risks and standards needed for production use.
We are looking for someone who can demonstrate:
- Senior engineering leadership across multiple teams, including experience managing engineering managers or team leads.
- A strong background in software development and continued credibility in architecture and technical decision making.
- Experience modernising complex, live applications while delivering new platforms or services.
- Production experience with modern application stacks such as React, Java or Python, alongside AWS or Azure.
- Practical knowledge of AI or machine learning, ideally including systems that have been built and deployed rather than explored only in prototypes.
- The ability to influence senior stakeholders, develop engineering leaders and bring teams through significant technical change.


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Experience in a regulated environment would be useful, but the quality of your engineering leadership and your approach to AI matter more than a particular industry background.
The interview process has three stages and can be completed remotely.
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