ML Engineer for Cybercrime Detection & Production Models

Netcraft; Greater London; Hybrid; GBP 80,000 - 120,000; Full time

Benefits offered by this job

Hybrid and flexible working options

Private health cover

Salary sacrifice pension up to 5%

Equity tracking scheme

Learning & Development days

Volunteer days

Employee Referral Bonus

Spot reward scheme

Job summary

Netcraft is seeking an ML engineer to apply machine learning to adversarial content detection across phishing and online scams. You will train and evaluate models, deploy them on GPU-backed Kubernetes clusters, and integrate them into production classification systems.

You’ll work on multi-modal embeddings, LLM classifiers, and ensemble predictors to disrupt cybercrime at scale. The role involves end-to-end ML lifecycle from training to monitoring, with collaboration across engineers and

Qualifications

• Strong web fundamentals: HTTP, DNS, and understanding how websites work.
• Understanding of ML fundamentals: training, evaluation, overfitting, precision/recall trade-offs.
• Good written and verbal communication; ability to articulate impact.
• Empirical mindset: design experiments, measure outcomes, use metrics.
• Willingness to learn Go and modern Perl, including asynchronous programming.
• Attention to detail and responsibility for classifications.

Responsibilities

• Build, evaluate and tune classifiers that decide what gets blocked.
• Deploy and operate model serving on Kubernetes, including LLM inference.
• Optimize models for high-volume, low-cost serving.
• Run experiments against live data; measure precision, recall, false positives.
• Integrate models into production classification platforms.
• Build pipelines and monitoring: feature extraction, retraining, experiments tracking.
• Investigate production issues: regressions and performance bottlenecks.
• Collaborate with engineers and analysts across the business.

Skills

Machine learning

Model training

Evaluation

Precision/recall

HTTP

DNS

Go

Perl

Asynchronous programming

Kubernetes

LLM inference

vLLM

Embeddings

Similarity search

MLflow

Argo Workflows

Llama.cpp

Tools

Kubernetes

Flux

Argo

API gateways

MLflow

Argo Workflows

llama.cpp

Job description

Netcraft is seeking an ML engineer to apply machine learning to adversarial content detection across phishing and online scams. You will train and evaluate models, deploy them on GPU-backed Kubernetes clusters, and integrate them into production classification systems.

You’ll work on multi-modal embeddings, LLM classifiers, and ensemble predictors to disrupt cybercrime at scale. The role involves end-to-end ML lifecycle from training to monitoring, with collaboration across engineers and