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Barclays

Machine Learning Engineer

Glasgow
Posted 1 day ago
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Machine Learning Engineer

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.

Vice President Expectations

  • Contribute or set strategy, drive requirements, and make recommendations for change.
  • Plan resources, budgets, and policies; manage and maintain policies/processes; deliver continuous improvements and escalate breaches of policies/procedures.
  • If managing a team, they define jobs and responsibilities, planning for the department’s future needs and operations, counselling employees on performance, and contributing to employee pay decisions/changes.
  • They may also lead a number of specialists to influence the operations of a department, in alignment with strategic as well as tactical priorities, while balancing short and long term goals and ensuring that budgets and schedules meet corporate requirements.
  • 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

OR for an individual contributor, they will be a subject matter expert within their own discipline and will guide technical direction. They will lead collaborative, multi-year assignments and guide team members through structured assignments, identify the need for the inclusion of other areas of specialisation to complete assignments. They will train, guide, and coach less experienced specialists and provide information affecting long-term profits, organisational risks, and strategic decisions.

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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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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  • Advise key stakeholders, including functional leadership teams and senior management on functional and cross-functional areas of impact and alignment.
  • Manage and mitigate risks through assessment, in support of the control and governance agenda.
  • Demonstrate leadership and accountability for managing risk and strengthening controls in relation to the work their team does.
  • Demonstrate comprehensive understanding of the organisation functions to contribute to achieving the goals of the business.
  • Collaborate with other areas of work, for business-aligned support areas to keep up to speed with business activity and the business strategies.
  • Create solutions based on sophisticated analytical thought comparing and selecting complex alternatives.
  • In-depth analysis with interpretative thinking will be required to define problems and develop innovative solutions.
  • Adopt and include the outcomes of extensive research in problem-solving processes.
  • Seek out, build, and maintain trusting relationships and partnerships with internal and external stakeholders in order to accomplish key business objectives, using influencing and negotiating skills 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.

Job Role

We are seeking a highly skilled Machine Learning Engineer to design and build advanced machine learning and AI solutions that enhance our ability to detect financial crime, prevent fraud, and safeguard our customers. Working closely with data scientists and engineers, you will focus on developing scalable ML pipelines, agentic AI systems, production-grade model code, and robust monitoring systems. You will play a key role across the full machine learning lifecycle—from initial concept and data exploration through to deployment—while ensuring adherence to strict governance, documentation, and regulatory standards.

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Key Requirements

  • Extensive experience in machine learning development (training and/or deploying models at scale).
  • Outstanding programming skills in Python.
  • Experience with distributed data processing frameworks (e.g., Spark).
  • Experience with deep learning/NLP frameworks (e.g., PyTorch, Hugging Face).
  • Solid understanding of software engineering principles and ML lifecycle practices (MLOps/LLMOps).
  • Previous experience of owning and delivering ML projects, including stakeholder management.

Highly Valued Skills

  • Experience leading machine learning engineering or development teams.
  • Experience with LLMs and agentic AI systems, including relevant frameworks (e.g., Agents SDK, Anthropic SDK, AWS Bedrock, LangGraph, CrewAI).
  • Experience with cloud platforms (AWS, Azure, GCP) or ML platforms (e.g., Databricks).
  • Exposure to fraud detection, anti-money laundering, anomaly detection, or graph/network-based modelling.
  • Understanding of model risk management, governance, and regulatory controls in financial services.

Assessment

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

Location

This role will be located at our Glasgow office.

Our Work Experience

Our Work Experience is 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

Machine Learning
Python
Spark
PyTorch
Hugging Face
MLOps
LLMOps
Agentic AI
AWS Bedrock
LangGraph
CrewAI
Cloud Platforms
Databricks
Fraud Detection
Anti-Money Laundering
Model Risk Management

Location

Glasgow, Scotland, United Kingdom

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