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Barclays

Lead Platform Engineer

Glasgow
Posted about 14 hours ago
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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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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

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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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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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Skills

Python
SageMaker
Databricks
MLflow
CI/CD
Kubernetes
Airflow
Step Functions
Langfuse
Model Governance
MLOps
Automation
Orchestration
Observability
Feature Stores

Location

Glasgow, Scotland, United Kingdom

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