Principal AI Research Scientist – Israel, UK

ActiveFence

. Conduct hands-on research in frontier AI models, reasoning, agents, and multimodal systems .

Posted 10/18/2026full-timeLondon • United KingdomLeadWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in conducting hands-on research in AI models and systems, with a strong focus on developing evaluation frameworks and experimental pipelines. Proficient in translating complex challenges into actionable research while collaborating with technical stakeholders and engineering teams.

Highest-signal resume keywords

PhD Or MSc In Computer ScienceAdvanced Python ProgrammingExperience With PyTorchStrong Publication Record In AI/ML ConferencesDeep Understanding Of LLMs And Benchmarking

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

AI ResearchMachine LearningExperimental DesignEvaluation MethodologiesAI BenchmarkingComplex AI Systems EvaluationResearch Experiment ExecutionData AnalysisPrototype DevelopmentSecurity Solutions Development

Soft Skills

Analytical SkillsCommunication SkillsCollaboration SkillsProblem-Solving SkillsCustomer Engagement

Tools & Technologies

Cybersecurity ToolsStatic Code AnalysisDynamic Code AnalysisPenetration Testing AutomationSandboxed Exploitation EnvironmentsSecurity Testing Frameworks

Industry Keywords

Frontier AIAI SecurityTrust And SafetyVulnerability ResearchAdversarial Machine LearningAgentic AI SecurityCTFs

Tech Stack

Tools & technologies

Cyber SecurityPythonPyTorch

About the role

Key responsibilities & impact

Conduct hands-on research in frontier AI models, reasoning, agents, and multimodal systems
Design, implement, and iterate on AI benchmarks, evaluation frameworks, and experimental pipelines
Execute short, high-impact research cycles, rapidly moving from hypotheses to experiments, prototypes, and validated findings
Identify model limitations, evaluation gaps, and emerging research opportunities
Work directly with customers and technical stakeholders to translate complex challenges into actionable research
Collaborate with engineering and product teams to turn research findings into practical solutions
Develop research and security solutions as part of Alice's trust, safety, and AI security offerings

Requirements

What you’ll need

PhD or MSc in Computer Science, AI, Machine Learning, or a related field, with strong relevant research experience
Strong publication record at leading AI/ML conferences such as NeurIPS, ICML, ICLR, ACL, or equivalent venues
Exceptional hands-on technical capabilities, including advanced Python, PyTorch, and experience building and evaluating complex AI systems
Proven ability to independently design, implement, and execute research experiments within short development cycles
Deep understanding of LLMs, foundation models, benchmarking, and evaluation methodologies
Experience with frontier AI labs such as OpenAI, Anthropic, or Google DeepMind is a strong advantage
Strong analytical and communication skills, with the ability to operate effectively in a fast-paced, customer-driven research environment
Preferred: Experience with AI for Cybersecurity, including autonomous security agents, vulnerability research, penetration-testing automation, or security operations
Preferred: Experience with Security of AI, including LLM red teaming, adversarial machine learning, prompt injection, and agentic AI security
Preferred: Familiarity with cybersecurity tools and environments such as CTFs, sandboxed exploitation environments, static/dynamic code analysis, and security testing frameworks
Preferred: Experience developing cybersecurity benchmarks or evaluating frontier models on complex security-related tasks