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Women In Machine Learning And Data Science, Mumbai

Deployment Applications LEad

London
£73.7k – £78.8k/yr
Posted about 23 hours ago
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Deployment Applications LEad

Full Time

Location: London

Posted: 5 hours ago

Website

The Alan Turing Institute

THE ROLE

The BridgeAI Deployment Applications Lead will drive the design and delivery of practical tools, frameworks, and guidance products that help organisations successfully deploy advanced AI into operational environments across the UK’s key Industrial Strategy growth sectors.

Working at the intersection of frontline advisory practice and programme-level product development, the postholder will combine direct engagement with BridgeAI-supported organisations with the systematic design, prototyping, and delivery of reusable technical assets.

The postholder will manage at least one member of the BridgeAI team, report directly to the Principal Investigator, and play a leading role in shaping the programme’s technical legacy: its shipped tools, disseminated learning, and contribution to the UK’s evidence base for responsible AI deployment at scale. They will also play a leading role in the wider Strategic Capabilities leadership team.

Successful candidates will combine technical depth with the instinct to translate operational learning into lasting, usable assets. They will be comfortable moving between hands-on product development, senior stakeholder engagement, and team leadership, and will thrive in a programme environment where they shape the work, and the impact is real.

How You Will Make An Impact

  • Develop a portfolio of interactive digital tools and structured guidance products to support organisations at key stages of the AI deployment journey.
  • Own the product development roadmap, balancing near-term programme needs with the longer-term value of outputs designed to outlast and extend beyond the programme.
  • Ensure products are designed for broad adoption: accessible, well-documented, and usable by practitioners across sectors without specialist support.
  • Contribute to programme-level artefacts.
  • Work with a focused portfolio of organisations to scope, develop, and harden AI deployment use cases in real operational settings.
  • Provide technical deployment guidance covering site readiness, governance approvals, workflow implications, change management, and staff capability requirements.
  • Advise on AI safety, ethics, and assurance, drawing on recognised frameworks including ISO/IEC 42001, ISO/IEC 23894, NIST AI RMF, and UK GDPR / DPA 2018.
  • Line manage the Impact & Data Manager.
  • Support public dissemination activities including workshops.
  • Engage with sector bodies, regulators, and Innovate UK partners.

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.

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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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About You

  • PhD or equivalent level of industry experience, providing a strong basis in data science, software engineering, AI/ML systems, or a closely related field.
  • Demonstrable experience designing, prototyping, and shipping digital tools, frameworks, or guidance products for AI deployment or data science practice.
  • Proven track record supporting organisations with the deployment of AI or ML systems in operational settings, including navigating technical, organisational, and governance barriers.
  • Working knowledge of AI assurance and governance frameworks, including ISO/IEC 42001, ISO/IEC 23894, NIST AI RMF, and/or UK GDPR / DPA 2018.
  • Experience of line management or mentoring, with the ability to set clear objectives and support professional development.
  • Demonstrated ability to manage a product development workstream, balancing near-term priorities with longer-term programme value.

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Please see our portal for a full breakdown of the Job Description.

Applications Closing

Tuesday, 06 October 2026 at 23:59

Terms and Conditions

This full-time post is offered on a fixed term basis until March 2030. The annual salary range is £73,720 – £78,750 plus an excellent benefits package including private medical insurance, 10% employer pension contribution, flexible hybrid working, and family-friendly policies – full details can be seen here.

Application Procedure

Please see our jobs portal for full details on how to apply and the cover letter requirements.

Equality, Diversity, and Inclusion

We value diversity of background, experience, and perspective, and are proud to be an inclusive employer. We warmly encourage applications from all backgrounds, particularly from groups currently under-represented in our sector. If you feel passionate about this role but don’t meet every single requirement, please apply – we recognise that great candidates may bring strengths beyond the criteria listed.

To apply for this job please visit portal.careers.turing.ac.uk.


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