Principal Cybersecurity Machine Learning Engineer
The position is a senior technical role, requiring knowledge of data engineering, data science, advanced analytics techniques, research and development, and innovation within one or more of the Cybersecurity sciences (e.g. network, endpoint and cloud security, cryptography, malware analysis, vulnerability assessment, privileged access management, anomaly/intrusion detection, incident response, or offensive security).
The Principal Cybersecurity Analytics Engineer role is a key leadership, hands on technical role, contributing to, coordinating, and leading delivery of advanced analytics solutions to cybersecurity problems through rapid development of prototypes, engineering of production solutions, and exploration of longer term, potentially ground-breaking technologies. Cybersecurity-specific knowledge is required for the role, but exceptional candidates from other disciplines will also be considered.
The ideal candidate will possess strong technical skills, an eagerness to learn, a keen interest in Cybersecurity, the ability to work collaboratively in a fast-paced environment, and an aptitude for picking up new tools and techniques on the job, building on existing skillsets as a foundation.
You will have access to tailored professional development opportunities and a competitive pay and benefits package. This includes private healthcare for all UK-based employees, enhanced maternity and adoption pay and support when you return to work, and a contributory pension scheme with a generous employer contribution.
In this role you will:
Data Engineering
Ingestion and provisioning of datasets, delta tables, and/or curated, re-usable data assets to enable Cybersecurity use cases.
Support and enhancement of data ingestion infrastructure and pipelines.
Platform Operations and Production Support
Provide maintenance and run support for landing zones/cloud workspaces operated on behalf of Cybersecurity teams.
Cybersecurity Sciences Research & Development (R&D) and Innovation
Drive innovative research & development to test and evolve new technologies and advanced analytic techniques.
Explore and develo innovative capabilities, exploiting emerging technologies and data science to help stay ahead of advancing cyber threats.
Rapid Response
Respond to urgent requests to address vulnerabilities or emerging threats.
Advanced Analytics & Security Software Development
Support Cybersecurity teams in using data and advanced analytic technologies effectively to enhance operations and inform decisions.
Deliver critical analytics engineering requirements across Cybersecurity.
Develop new data products, analysis platforms, and custom AI solutions to enable Cybersecurity teams to monitor controls more effectively, automatically detect and triage malicious activity, optimise manual tasks, better protect HSBC, and meet the needs of customers.
Develop new models, detections, and automations to protect against advanced and emerging threats and help Cybersecurity operate efficiently and effectively at scale.
Develop custom security applications, APIs, and data-driven services in support of the Cybersecurity mission.
To be successful in this role you should meet the following requirements:
Strong Data Technology skills, with the ability to build, operate, maintain and support loud infrastructure & data services at scale
Extensive experience of Big Data Technologies (Databricks, Spark etc)
Cloud Infrastructure & Platform Engineering experience (Azure preferred)
The ability to conduct cybersecurity industry research and rapidly develop data-driven prototypes for live business problems faced by Cybersecurity teams
Experience developing custom security applications, APIs, AI/ML models, detections, automations, and advanced analytic technologies to mitigate against current and emerging threats
The ability to act as a Cybersecurity data domain expert and advise stakeholders how to use data and analytics to drive business change and improvement
Proficiency in applying data science and advanced analytics techniques to the Cybersecurity domain and its associated datasets
Full Stack Engineering and custom security software development experience with proficiency in programming languages such as Python, Java, C#, or similar preferred.
This role can be based in Sheffield or Birmingham or London
