Machine Learning Engineer II – Behavioral Security Products

Job not on LinkedIn

🔥 14 hours ago

🇬🇧 United Kingdom – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🤖 Machine Learning Engineer

👻 Ghost score 12%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Abnormal Security

WebsiteLinkedInAll Job Openings

501 - 1000 employees

🔒 Cybersecurity

Cybersecurity

Abnormal Security is a provider of cloud-native email security solutions that specializes in preventing a wide array of cyber threats. The company focuses on protecting businesses from attacks such as phishing, malware, ransomware, and social engineering, ensuring total protection for corporate email systems. Their offerings include business email security, phishing detection, and securing against account takeovers, making them a leader in the computer and network security space.

📋 Description

• Develop machine learning algorithms and models for behavioral modeling and cybersecurity attack detection • Collaborate with cross-functional teams to understand requirements and translate them into machine learning solutions • Conduct exploratory data analysis, feature engineering, model development, and evaluation • Work with infrastructure and product engineers to productionize models and new ML-based features • Monitor and improve production models through feature engineering, rules, and ML modeling • Participate in code reviews to ensure ML system quality and maintainability • Stay current on research in machine learning, data science, and AI • Contribute to machine learning best practices within the organization • Define technical goals, address customer problems, maintain production models, and ensure operational excellence

🎯 Requirements

• Proven experience as a Machine Learning Engineer or similar role in a commercial environment (3+ years) • Knowledge of machine learning algorithms, statistics, and predictive modeling • Proficiency with Python and machine learning toolkits like pandas and scikit-learn; optionally PyTorch/TensorFlow • Awareness of machine learning operations (MLOps) and productionization of ML models best practice • Familiarity with building data and metric generation pipelines using SQL or Spark • Ability to communicate technical ideas in a clear, non-technical manner • Familiarity with LLMs • Previous experience in cybersecurity • Previous experience with Airflow or similar ML pipeline orchestration tools • Experience with large-scale ML systems and data infrastructure • Previous experience in behavioural modeling techniques • Familiarity with cloud computing platforms such as AWS or Azure

🏖️ Benefits

• Equal opportunity employer • Pre-employment checks in line with prevailing legislation and Abnormal AI's security and privacy standards