Entrust

www.entrust.com

7 Jobs

3,345 Employees

About the Company

Entrust is an innovative leader in identity-centric security solutions, providing an integrated platform of scalable, AI-enabled security offerings.
We enable organizations to safeguard their operations, evolve without compromise, and protect their interactions in an interconnected world - so they can transform their businesses with confidence. Entrust supports customers in 150+ countries and works with a global partner
network. We are trusted by the world's most trusted organizations.

Listed Jobs

Company Name: Entrust
Job Title: Senior Applied Scientist - Computer Vision
Job Description: **Job Title:** Senior Applied Scientist - Computer Vision **Role Summary:** Design and train advanced machine learning solutions for digital identity verification, with a focus on deepfake detection, bias mitigation, document understanding, anomaly detection, and efficient on-device ML. Collaborate with product engineering to deploy models for global customer use. **Expectations:** - Proven expertise in computer vision and machine learning. - Demonstrated ability to deliver high-performance, ML-driven products. - Strong theoretical understanding of ML/Deep Learning frameworks. - Proficiency in Python and PyTorch. - Commitment to fairness, accuracy, and innovation in ML solutions. **Key Responsibilities:** - Advance research in deepfake detection, bias mitigation, face matching, document extraction, and fraud detection. - Develop and optimize large-scale vision-language models and multi-modal document understanding systems. - Profile and improve model training efficiency, including latency optimization (e.g., LoRA adapters). - Construct datasets for deepfake detection and multimodal fraud detection. - Publish research in peer-reviewed conferences/journals and collaborate with engineering teams for product integration. **Required Skills:** - Advanced Python and PyTorch programming. - Experience with ML deployment, synthetic data generation, or model optimization. - Knowledge of computer vision architectures, bias mitigation techniques, and anomaly detection. - Familiarity with ML frameworks (AWS, Ray, PyTorch Lightning) and tools (Weights & Biases, Encord). **Required Education & Certifications:** - PhD in Computer Science, Machine Learning, or related field. - Strong publication record preferred (top-tier ML conferences). - Certification requirements: None specified.

London, United kingdom

Hybrid

Senior

09-11-2025

Company Name: Entrust
Job Title: Senior Principal Security Cerification Engineer
Job Description: Job Title: Senior Principal Security Certification Engineer Role Summary: Strategic leader managing global security certifications (FIPS, Common Criteria) for cryptographic products, guiding compliance, and influencing product direction to ensure alignment with evolving security standards. Expectations: Proven expertise in FIPS 140-2, Common Criteria (CC), PCI, and regional certification frameworks. Strong applied cryptography and HSMs knowledge. Requires strategic communication, negotiation, and autonomy in fast-paced environments. Up to 10% travel. Key Responsibilities: 1. Oversee global certification of cryptographic modules against standards (FIPS 140-2, CC, NITES, PKTN, NATO). 2. Provide strategic guidance to engineering and product teams on certification requirements. 3. Collaborate with security architects to define cryptographic module requirements for current and emerging products. 4. Serve as a trusted advisor on certification integration for products like HSMs and signature activation modules. Required Skills: Applied cryptography, HSMs implementation, security certification standards (FIPS, CC, PCI), technical communication, strategic problem-solving. Required Education & Certifications: Bachelor’s degree in Computer Science, Computer Engineering, or Electrical Engineering preferred. Active participation in certification standards groups advantageous.

England, United kingdom

Hybrid

Senior

10-11-2025

Company Name: Entrust
Job Title: Senior MLOps Engineer
Job Description: **Job Title** Senior MLOps Engineer **Role Summary** Build and operate end‑to‑end machine learning production infrastructure, enabling scientists and engineers to deploy and scale models across multi‑tenant workloads on Kubernetes/EKS. Provide platform abstractions, observability, and developer experience so that ML research can be rapidly moved into production. **Expectations** - Lead the design, implementation, and maintenance of a cloud‑native MLOps platform. - Serve as the technical point of contact for data scientists and ML engineers, continuously improving user experience. **Key Responsibilities** - Run and evolve the ML compute layer on Kubernetes/EKS (CPU/GPU), ensuring portability across regions. - Operate Argo Workflows, Dask Gateway, and other scheduling tools for data preparation, training, evaluation, and batch compute. - Develop GitOps‑native delivery pipelines (GitLab CI, Helm, FluxCD) for ML jobs and platform components, supporting fast rollouts and safe rollbacks. - Design and maintain a lakehouse data platform (LakeFS, Apache Iceberg, Snowflake) for experiment reproducibility and data lineage tracking. - Create clear APIs/CLIs, templates, and documentation to enhance developer experience. - Implement observability with Prometheus/Grafana, logging (Loki/Promtail, Datadog, Sentry), and alerting. - Ensure compliance with networking, security, and Linux administration best practices. **Required Skills** - Production experience with AWS (EKS, S3, EC2, IAM, Lambda, RDS) and container orchestration. - Strong Python proficiency (FastAPI/Django, Pydantic, boto3). - Familiarity with CI/CD and GitOps tools (GitLab CI, Helm, FluxCD, Terraform). - Experience building and operating data pipelines with idempotency, retries, and reproducibility. - Knowledge of observability stacks: Prometheus, Grafana, Loki, Datadog, or similar. - Understanding of networking, security concepts, and Linux system administration. **Nice to Have** - Distributed compute frameworks (Dask, Spark, Ray). - Inference servers (NVIDIA Triton). - FinOps cost attribution and multi‑region deployment strategies. **Required Education & Certifications** - Bachelor’s degree or higher in Computer Science, Engineering, or related field. - Relevant certifications (e.g., AWS Certified Solutions Architect, Kubernetes Administrator) preferred.

Company Name: Entrust
Job Title: Data Security Services Compliance Manager
Job Description: **Job Title** Data Security Services Compliance Manager **Role Summary** Lead the compliance function for Data Security Services (DSS) products, ensuring that Public Key Infrastructure (PKI) and related solutions meet industry standards (e.g., WTCA, NIST, ISO, SOC 2) and customer contractual requirements. Act as the primary subject‑matter expert on compliance frameworks, coordinate external audits, and drive continuous improvement of compliance processes across multi‑region teams. **Expectations** - Sustain high‑grade compliance of DSS product portfolio, mitigating risks and enabling competitive advantage. - Operate independently in a fast‑paced, cross‑functional environment; prioritize multiple initiatives concurrently. - Maintain continuous, proactive engagement with external auditors, standards bodies, and internal stakeholders. **Key Responsibilities** - Validate PKI CA and other DSS products against WTCA, NIST, ISO, SOC 2, FedRAMP, and additional applicable frameworks. - Escalate and own compliance issues in production, collaborate with Policy Management Authority for issue resolution. - Lead external audit engagements: plan evidence collection, schedule resources, submit reports, monitor timelines. - Advise product & development teams on regulatory trends and emerging PKI use cases in finance, healthcare, government, etc. - Represent company in standards body discussions; advocate adoption of best practices internally. - Oversee end‑to‑end operational compliance program; review procedures, deliver metrics to compliance scorecards. - Serve as internal & customer‑facing SME; provide guidance on best practices, audit processes, and compliance risk mitigation. - Manage project documentation, maintain deadlines, and foster vendor/customer relationships. - Capture customer/partner feedback for product enhancement strategies. **Required Skills** - 5+ years of security compliance or audit experience with WTCA, NetSec, NIST, FedRAMP, ISO, SOC 2, or similar. - Strong governance, risk management, and compliance process expertise. - Proficiency in internal controls, risk assessments, operational auditing, and IT control testing. - Excellent written and verbal communication, analytical, and problem‑solving skills. - Ability to collaborate across time zones, prioritize tasks, and manage multiple projects. - Basic project management knowledge; familiarity with enterprise networking concepts is a plus. **Required Education & Certifications** - Associate or bachelor’s degree (preferred). - Security clearance or eligibility to obtain one (preferred). - Any relevant certification (e.g., CISSP, CISA, CISM) is an advantage but not mandatory.

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