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Barclays

Senior Forward Deployed AI engineer

London
Posted about 21 hours ago
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Job Description

Purpose of the Role

To design, develop, implement, and support mathematical, statistical, and machine learning models and analytics used in business decision-making.

Accountabilities

  • Design analytics and modelling solutions to complex business problems using domain expertise.
  • Collaboration with technology to specify any dependencies required for analytical solutions, such as data, development environments and tools.
  • Development of high performing, comprehensively documented analytics and modelling solutions, demonstrating their efficacy to business users and independent validation teams.
  • Implementation of analytics and models in accurate, stable, well-tested software and work with technology to operationalise them.
  • Provision of ongoing support for the continued effectiveness of analytics and modelling solutions to users.
  • Demonstrate conformance to all Barclays Enterprise Risk Management Policies, particularly Model Risk Policy.
  • Ensure all development activities are undertaken within the defined control environment.

Assistant Vice President Expectations

  • To advise and influence decision making, contribute to policy development and take responsibility for operational effectiveness.
  • Collaborate closely with other functions/business divisions.
  • Lead a team performing complex tasks, using well developed professional knowledge and skills to deliver on work that impacts the whole business function.
  • Set objectives and coach employees in pursuit of those objectives, appraisal of performance relative to objectives and determination of reward outcomes.

If the position has leadership responsibilities, People Leaders are expected to demonstrate a clear set of leadership behaviours to create an environment for colleagues to thrive and deliver to a consistently excellent standard. The four LEAD behaviours are:

  • L – Listen and be authentic
  • E – Energise and inspire
  • A – Align across the enterprise
  • D – Develop others

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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It searches the market for you

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.

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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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Strong

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.

OR for an individual contributor, they will lead collaborative assignments and guide team members through structured assignments, identify the need for the inclusion of other areas of specialisation to complete assignments. They will identify new directions for assignments and/or projects, identifying a combination of cross-functional methodologies or practices to meet required outcomes.

  • Consult on complex issues; providing advice to People Leaders to support the resolution of escalated issues.
  • Identify ways to mitigate risk and developing new policies/procedures in support of the control and governance agenda.
  • Take ownership for managing risk and strengthening controls in relation to the work done.
  • Perform work that is closely related to that of other areas, which requires understanding of how areas coordinate and contribute to the achievement of the objectives of the organisation sub-function.
  • Collaborate with other areas of work, for business aligned support areas to keep up to speed with business activity and the business strategy.
  • Engage in complex analysis of data from multiple sources of information, internal and external sources such as procedures and practises (in other areas, teams, companies, etc.) to solve problems creatively and effectively.
  • Communicate complex information. 'Complex' information could include sensitive information or information that is difficult to communicate because of its content or its audience.
  • Influence or convince stakeholders to achieve outcomes.

All colleagues will be expected to demonstrate the Barclays Values of Respect, Integrity, Service, Excellence and Stewardship – our moral compass, helping us do what we believe is right. They will also be expected to demonstrate the Barclays Mindset – to Empower, Challenge and Drive – the operating manual for how we behave.

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Join Barclays as a Senior Forward Deployed AI Engineer

Where you'll be at the forefront to design what good looks like and move in fast iteration to prove concepts and prototypes that can be scaled later into our central platform, this role requires an appetite for innovation, a can-do attitude and a hacker mindset.

To be successful as a Senior Forward Deployed AI Engineer, you should have experience with:

  • Ample Python systems engineering with experience building APIs (FastAPI/Flask) and deploying on AWS (ECS/EKS, Lambda, Bedrock, Docker).
  • Notable understanding and experience building generative AI applications (LangChain, AutoGen, CrewAI or similar).
  • Validated production experience with RAG, agent, and MCP-based systems, including AgentOps (CI/CD, monitoring, optimisation).

Some other highly valued skills may include:

  • Understanding or ample interest in Investment Banking / Research workflows and financial data platforms (Bloomberg, FactSet, Refinitiv).
  • Experience with M365 Copilot / Copilot Studio, plugins, and skills.

You may be assessed on the key critical skills relevant for success in role, such as risk and controls, change and transformation, business acumen strategic thinking and digital and technology, as well as job-specific technical skills.

This role will be based in our London office.


Our Work Experience

The combination of everything that's unique about us: our culture, our core values, our company meetings, our commitment to sustainability, our recognition programs, but most importantly, it's our people. Our employees are self-disciplined, hard working, curious, trustworthy, humble, and truthful. They make choices according to what is best for the team, they live for opportunities to collaborate and make a difference, and they make us the #1 Top Workplace in the area.

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Skills

Python
FastAPI
Flask
AWS
ECS
EKS
Lambda
Bedrock
Docker
Generative AI
LangChain
AutoGen
CrewAI
RAG
AgentOps
CI/CD

Location

London, England, United Kingdom

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