Abnormal
Machine Learning Engineer II - Behavioral Security Products
Remote role where the employee must remain based in a particular country.
United Kingdom only
Employer listed it 7 days ago · Added yesterday
First listed 7 days ago and still open.
Salary
Not stated
Location
United Kingdom only
Timezone
GMT
Contract
Full-time
Experience
Mid
Category
Data
This employer didn't state pay. Jobs like this usually pay around $110k–$200k a year, a typical range taken from 226 mid-level data roles on Nomaders that do state pay. It's a guide, not an offer.
Remote flexibility
Work from home
This is a remote role, but the employee must be based in United Kingdom. It is work from home rather than work from anywhere.
What the employer says
- Source listing states candidate location: "Remote - UK"
What Nomaders makes of it
- Residency required in United Kingdom
- Payroll and tax are likely handled in that country only
The quotes above are the employer's own words; the reading is ours. Always check the original listing and employment terms before working from another country.
About the role
Abnormal AI is looking for a Machine Learning Engineer to join the Account Takeover Detection team. At Abnormal, we protect our customers against nefarious adversaries who are constantly evolving their techniques and tactics to outwit and undermine the traditional approaches to Security. Abnormal is recognized as a top cybersecurity startup (Leader in the 2024 Gartner Magic Quadrant for Email Security Platforms), securing a Series D funding of $250 million at a $5.1 billion valuation in August 2024. Our 100% YoY growth in annual recurring revenue highlights the trust our behavioral AI system has earned in protecting over 20+% of the Fortune 500. We continue to grow and innovate to stay ahead of the evolving threat landscape.
About the Role
In a landscape where a single successful attack can lead to financial losses of millions of dollars, the Account Takeover team (ATO) is at the forefront of customer protection, playing a central role in building systems that can detect malicious activity and protect customers from account takeovers. The Account Takeover Detection team’s mission is to leverage cutting-edge machine learning technologies for proactive detection and prevention of account takeover attempts, continuously improving ATO capabilities to stay ahead of evolving fraud patterns and safeguard user accounts with unparalleled accuracy and efficiency
This role offers the opportunity to contribute significantly to our team's charter, direction, and roadmap by defining technical goals, addressing customer problems, maintaining production models, and ensuring operational excellence. The ideal candidate will have a background in machine learning, data science, and software engineering, with the ability to design, develop, and implement robust machine learning models and systems in production.
What you will do
Contribute to the development of machine learning algorithms and models for behavioral modeling and cybersecurity attack detection.
Work with cross-functional teams to understand requirements and translate them into effective machine learning solutions.
Conduct exploratory data analysis, feature engineering, model development and evaluation.
Work with infrastructure & product engineers to productionize models and new ML-based features
Monitor and improve production models through feature engineering, rules, and ML modeling as part of a team effort.
Participate in code reviews to ensure the quality and maintainability of ML systems.
Stay updated on the latest research in the field of machine learning, data science, and AI.
Adopt and contribute to the development of machine learning best practices within the organization.
Must Haves
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, scikit-learn, and optionally. pytorch/tensorflow.
Awareness of machine learning operations (MLOps) and productionization of ML models best practise..
Familiarity with building data and metric generation pipelines, using tools like SQL or Spark, to answer business questions and assess system efficacy.
Ability to communicate technical ideas in a clear, non-technical manner.
Nice to Have
Familiarity with LLMs
Previous experience in Cybersecurity
Previous experience with Airflow or similar ML pipeline orchestration tools
Requirements
The employer hasn't listed requirements separately, they're described in the role summary above and on the original listing.
Benefits
No benefits package published with this listing. Ask about it at first interview.
How to apply
- 1Check the flexibility label above, work from home, matches where you plan to live and work.
- 2Tailor your CV to the role at Abnormal, mentioning your remote working experience and working hours (GMT).
- 3Apply directly on the employer's careers page using the button below. Nomaders never handles your application.
Found 1d ago. Last checked 23 Sept. Always confirm the details on the original posting, salary and location can change after publication.
Listing sourced from Company boards.
Similar roles
Other open data roles with comparable remote rules.
Free to apply, no account needed.
Typically $110k to $200k per year · You'll be taken to the employer's careers page.