Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Application Security Architect

Jobleads
London
9 months ago
Applications closed

Related Jobs

View all jobs

Principal Data Engineer

Data Scientist Consultant

Lead Data Engineer - Nottingham City

Principal Geospatial Data Analyst

Digital Marketing Data Analyst

Data Engineer

Key Responsibilities:

  1. Develop and maintain security strategies, policies, and procedures for the company's application infrastructure

  2. Build good relationships and work with the wider Blue Yonder Security teams, collaborating with information security, product development teams, customer support, and Blue Yonder customers to resolve security related issues/concerns

  3. Collaborate with Product and Engineering teams to ensure work aligns with business objectives and is suitable for production use

  4. Collaborate with development teams to ensure that security is integrated into the software development lifecycle

  5. Conduct threat modeling and risk assessments to identify potential security threats

  6. Review and analyze security incidents to determine root causes and implement preventative measures

  7. Ensure the company's applications comply with relevant security standards and regulations

  8. Stay up to date with the latest security trends and technologies and evaluate their potential impact on the company's security posture

Your Skills and Experience:

  1. At least 7 years of experience in application security, with a focus on web and mobile applications.

  2. Strong understanding of security principles and technologies, including cryptography, authentication, authorization, and access controls.

  3. Hands-on experience with security testing tools

  4. Familiarity with security standards, such as OWASP Top 10, NIST, SoC2 and ISO 27001.

  5. Ability to effectively communicate security concepts and requirements to both technical and non-technical audiences.

  6. Excellent problem-solving and analytical skills, with the ability to think creatively and strategically.

Why Blue Yonder:

At Blue Yonder, you’ll be part of a growing forward-thinking team for retail and supply chain optimization. We foster an environment ofinnovation, mutual respect, and collaborationwhere creativity thrives. You can expect:

  1. A dynamic work environment focused on solving real-world challenges withadvanced data science.

  2. Flexible, family-friendly working arrangements.

  3. The opportunity to work with industry-leading technologies and methodologies.

  4. A commitment to diversity and inclusion—our hiring decisions are based on qualifications and skills, and we welcome applicants from all backgrounds.

Our Values

If you want to know the heart of a company, take a look at their values. Ours unite us. They are what drive our success – and the success of our customers. Does your heart beat like ours? Find out here: Core Values

Diversity, Inclusion, Value & Equity (DIVE) is our strategy for fostering an inclusive environment we can be proud of. Check out Blue Yonder's inaugural Diversity Report which outlines our commitment to change, and our video celebrating the differences in all of us in the words of some of our associates from around the world.

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status.

#J-18808-Ljbffr

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Neurodiversity in Machine Learning Careers: Turning Different Thinking into a Superpower

Machine learning is about more than just models & metrics. It’s about spotting patterns others miss, asking better questions, challenging assumptions & building systems that work reliably in the real world. That makes it a natural home for many neurodivergent people. If you live with ADHD, autism or dyslexia, you may have been told your brain is “too distracted”, “too literal” or “too disorganised” for a technical career. In reality, many of the traits that can make school or traditional offices hard are exactly the traits that make for excellent ML engineers, applied scientists & MLOps specialists. This guide is written for neurodivergent ML job seekers in the UK. We’ll explore: What neurodiversity means in a machine learning context How ADHD, autism & dyslexia strengths map to ML roles Practical workplace adjustments you can ask for under UK law How to talk about neurodivergence in applications & interviews By the end, you’ll have a clearer sense of where you might thrive in ML – & how to turn “different thinking” into a genuine career advantage.

Machine Learning Hiring Trends 2026: What to Watch Out For (For Job Seekers & Recruiters)

As we move into 2026, the machine learning jobs market in the UK is going through another big shift. Foundation models and generative AI are everywhere, companies are under pressure to show real ROI from AI, and cloud costs are being scrutinised like never before. Some organisations are slowing hiring or merging teams. Others are doubling down on machine learning, MLOps and AI platform engineering to stay competitive. The end result? Fewer fluffy “AI” roles, more focused machine learning roles with clear ownership and expectations. Whether you are a machine learning job seeker planning your next move, or a recruiter trying to build ML teams, understanding the key machine learning hiring trends for 2026 will help you stay ahead.

Machine Learning Recruitment Trends 2025 (UK): What Job Seekers Need To Know About Today’s Hiring Process

Summary: UK machine learning hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise shipped ML/LLM features, robust evaluation, observability, safety/governance, cost control and measurable business impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for ML engineers, applied scientists, LLM application engineers, ML platform/MLOps engineers and AI product managers. Who this is for: ML engineers, applied ML/LLM engineers, LLM/retrieval engineers, ML platform/MLOps/SRE, data scientists transitioning to production ML, AI product managers & tech‑lead candidates targeting roles in the UK.