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Adroit People Limited (UK)

ML & AI Engineer

London
Posted 1 day ago
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Greetings!

Adroit People is currently hiring

Role: ML & AI Engineer

Location: London, UK

Hybrid - 2 days onsite per week, 3 days remote

Contract

Job Description –

Responsible for automating model deployment, ensuring version control, monitoring inference systems, and safely integrating AI agents into production with strong observability and rollback capabilities.

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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  • Automate ML model deployment workflows
  • Manage model versioning and release processes
  • Monitor inference cost, latency, and drift
  • Integrate AI agents safely into production systems
  • Implement observability, alerting, and rollback mechanisms
  • Model deployment automation
  • Model version control
  • Monitoring inference cost, latency & drift
  • Production integration of AI/LLM agents
  • Observability & rollback systems
  • Experience with containerized deployments
  • Familiarity with CI/CD for ML (MLOps)

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Qualifications:

  • Bachelor’s/master’s in engineering, Computer Science, or related fields
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Skills

ML Model Deployment
Model Versioning
Inference Monitoring
AI Agent Integration
Observability
Rollback Mechanisms
Containerized Deployments
CI/CD for ML
MLOps
LLM Agents
Model Drift Monitoring
Latency Monitoring

Location

London, England, United Kingdom

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