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Ciklum

Expert Agentic AI Engineer

London
Posted 1 day ago
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Expert Agentic AI Engineer

Expert Agentic AI Engineer — Ciklum (UK)

We are a custom product engineering company that supports both multinational organisations and scaling startups to solve their most complex business challenges. With a global team of over 4,000 experts—developers, consultants, analysts, and product owners—we engineer technology that redefines industries and scales the way people live and work.


About the Role

As an Expert Agentic AI Engineer, join a cross-functional development team and shape the experiences of tomorrow. Your work will build foundational AI technology that drives business innovation and transforms how technology solves real-world problems.


Responsibilities

  • Design, develop, and deploy production-grade Machine Learning (ML), Deep Learning, and Natural Language Processing (NLP) models.
  • Optimise ML models for enterprise-scale latency, throughput, and performance, ensuring seamless integration with data warehouses and workflow automation.
  • Collaborate with data engineers to engineer high-quality data pipelines, automated feature stores, and secure preprocessing routines.
  • Establish and scale MLOps workflows for:
    • Model lineage tracking
    • Code versioning
    • Automated validation gates
    • Continuous deployment pipelines
  • Define technical direction for AI engineering across squads—evaluate emerging AI methodologies and provide mentorship to senior team members.

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.

Start with a chat, not a search bar

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.

P

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.


Requirements

Essential

  • 5+ years (Senior) or 8+ years (Expert) designing, developing, deploying, maintaining, and shipping machine learning models in production.
  • Hands-on experience developing autonomous workflows and orchestrating agentic behaviors using:
    • Microsoft Copilot Studio
    • Semantic Kernels
    • Custom agentic plugins and plugins frameworks
  • Cloud AI Infrastructure expertise, including:
    • Building and fine-tuning generative AI models
    • Working with Prompt Flow pipelines
    • Deploying solutions on Microsoft Azure AI Foundry (formerly Azure AI Studio) and Azure AI Enterprise
  • Integrating LLMs with:
    • External APIs
    • Enterprise data sources
    • Robotic Process Automation (RPA) tools for autonomous task execution
  • Python expertise (elite proficiency required) paired with deep experience in:
    • Core NLW (PyTorch, TensorFlow, Hugging Face Transformers, Scikit-Learn other deeper libraries)
  • MLOps experience:
    • Familiarity with production ML tracking tools
    • Working in cloud-based AI ecosystems such as MLflow, Kubeflow, AWS SageMaker, Azure ML
  • Advanced CS fundamentals:
    • Algorithmic complexity and data structure mastery
    • Clean code and software engineering best practices
  • A formal degree in Computer Science, Data Science, Mathematics, or a quantitative field is preferred.

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Benefits

  • Dynamic culture: Engage with senior-level talent in an open-door environment that values creativity.
  • Project impact: Take on large-scale, globally significant projects that evolve your expertise.
  • Learning & personal growth:
    • Undergo skills advancement through internal workshops, meetups, and conferences.
    • Access Udemy courses, language training, and company-paid certifications.
  • Internal mobility: Rotate across domains to build specialist experience—craft your long-term career in cutting-edge tech.
  • Well-being support:
    • Comprehensive healthcare provision.
    • Life Insurance (Basic)
    • Short-term & Long-term disability insurance (aligned with Ciklum’s Benefit Plans).

About Ciklum

At Ciklum, we drive innovation by empowering a culture where curiosity merger challenges results. Join a One Team community that makes impact tangible—and leads the digital transformation of Fortune 500 clients.

Visit or connect with Ciklum for more.

Ready to contribute to technology that floats forward? Apply today via the careers portal. We’re excited to see how your skills can shape our future.

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Skills

Machine Learning
Deep Learning
Natural Language Processing
MLOps
Python
Azure AI
Data Engineering
Robotic Process Automation
Cloud AI Infrastructure
Feature Stores
Model Deployment
Data Pipelines
Algorithmic Complexity
Clean Code Principles
AI Methodologies
Tracking Tools

Location

London, England, United Kingdom

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