Barclays
Lead Platform Engineer

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Job Description
Purpose of the Role
To design, develop and improve software, utilizing various engineering methodologies, that provides business, platform, and technology capabilities for our customers and colleagues.
Accountabilities
- Development and delivery of high-quality software solutions by using industry aligned programming languages, frameworks, and tools. Ensuring that code is scalable, maintainable, and optimized for performance.
- Cross-functional collaboration with product managers, designers, and other engineers to define software requirements, devise solution strategies, and ensure seamless integration and alignment with business objectives.
- Collaboration with peers, participate in code reviews, and promote a culture of code quality and knowledge sharing.
- Stay informed of industry technology trends and innovations and actively contribute to the organization’s technology communities to foster a culture of technical excellence and growth.
- Adherence to secure coding practices to mitigate vulnerabilities, protect sensitive data, and ensure secure software solutions.
- Implementation of effective unit testing practices to ensure proper code design, readability, and reliability.
Director Expectations
- Provide expert advice to senior functional management and committees to influence decisions made outside of own function, offering significant input to function wide strategic initiatives.
- Manage, coordinate and enable resourcing, budgeting and policy creation for a significant sub-function.
- Escalates breaches of policies / procedure appropriately.
- Foster and guide compliance, ensure regulations are observed that relevant processes in place to facilitate adherence.
- Focus on the external environment, regulators, or advocacy groups to both monitor and influence on behalf of Barclays, when appropriate.
- Demonstrate extensive knowledge of how the function integrates with the business division / Group to achieve the overall business objectives.
- Maintain broad and comprehensive knowledge of industry theories and practices within own discipline alongside up-to-date relevant sector / functional knowledge, and insight into external market developments / initiatives.
- Use interpretative thinking and advanced analytical skills to solve problems and design solutions in often complex/ sensitive situations.
- Exercise management authority to make significant decisions and certain strategic decisions or recommendations within own area.
- Negotiate with and influence stakeholders at a senior level both internally and externally.
- Act as principal contact point for key clients and counterparts in other functions/ businesses divisions.
- Mandated as a spokesperson for the function and business division.
- All Senior 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
- 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.
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.
Key Responsibilities


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- MLOps Leadership: Build and evolve model deployment pipelines, registries, and monitoring frameworks.
- Tooling & Integration: Implement and optimize SageMaker, Databricks, MLflow, and related orchestration tools.
- Governance & Risk: Ensure compliance with model governance, auditability, and AI safety standards.
- Operational Excellence: Drive reproducibility, lineage tracking, drift detection, and rollback strategies.
- Hands-On Delivery: Write production-grade Python code for automation, orchestration, and monitoring.
- Collaboration: Partner with data scientists, quants, and infra teams to align MLOps capabilities with business needs.
- Mentorship: Coach engineers on best practices for ML lifecycle management and secure deployment.
Required Skills
- Strong Python engineering background.
- Deep experience with SageMaker, Databricks, MLflow, and CI/CD for ML.
- Proven track record in operationalizing ML models at scale.
- Knowledge of model governance, compliance, and risk management.
- Familiarity with feature stores, model registries, and observability tools (Langfuse, Observe).
Preferred Tech
- Kubernetes (EKS/on-prem), Airflow, Step Functions for orchestration.
- Databricks for data engineering and ML pipelines.
- MLflow for experiment tracking and model registry.
- SageMaker for training and deployment.
- Langfuse for evaluation and tracing.
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