VICE PRESIDENT SOFTWARE ENGINEERING: AEROSPACE AND DEFENSE (Basé à London)

Jobleads
Greater London
5 months ago
Applications closed

VICE PRESIDENT SOFTWARE ENGINEERING: AEROSPACE AND DEFENSE

Bullisher is a data-centric fintech Solution provider in the aerospace and defense industry for institutional level investors, looking to disrupt and revolutionise a $3 trillion dollar industry. We spearhead an industrial-leading Blackbox to facilitate and administer trade agreements pioneered by a vehicle, driven by our new generation benchmark delivering solutions through innovation with uncompromising agility.

JOB DESCRIPTION:

This role may suit an individual who is truly specialist inEND-TO-END CONTENT INFRASTRUCTURE.A set of software focused applications designed to optimize powerful hidden patterns powered by AI and machine learning to configurable workflows. These incoming workloads get to the decision makers in real-time, intelligently processing data based on size, types, and AI’s confidence score. The overarching objective for the oversight is a chance to become theBIG BIRD EYE-VIEWof the organization’s regulatory engineering division foundation building-blocks. Areas to cover will include: ingest syndication of data integrated into traditionalDAMinfrastructure, designing models and conducting simulations and analysis of systems and components, and defining the specification of test plans to validate the model and performance.

Responsibilities will include:

  • Campaign planning and execution, where decisions and executions have their immediate impact on the outcome of engagement in real-time.
  • Operational strategy, written process, control policies, and guidelines.
  • Deriving standard Alpha states from standard control frameworks in conformity toNIST SP 800-171andNIST SP 800-160.
  • Creating an ecosystem of practices and preparing incremental improvements.
  • Creating information security requirements, classifying information sensitivity, and implementing information security architecture requirements.

WHAT ARE WE LOOKING FOR:

  • Executive level experience in the spectrum of(IOMT)internet of military things andCND.
  • Academic level training record in building mathematical systems and control theory.
  • A proven leader with experience in edge protection strategies.
  • Extensive experience in threat categories.

PHYSICAL DEMANDS:This position requires the ability to communicate and exchange information, utilizing necessary equipment to perform the job.

ENVIRONMENT:This position will operate in the following areas of the organization regulatory engineering division:MULTIDOMAIN DEFENCE DOCK.

INTERVIEW PROCESS:

  • STAGE 1: COGNITIVE ABILITY TEST
  • STAGE 2: COGNITIVE ASSESSMENT SCREENING WITH A 30+ YEAR EXPERIENCE PSYCHOLOGIST
  • STAGE 3: PRE-SCREENING (verification checks & DV security clearance)
  • STAGE 4: INTERVIEW WITH THE CEO, CTO & GC

QUALIFICATION, SKILLS SET AND KEY REQUIREMENT:

  • A proven record in building mathematical systems and control theory, edge computing/edge processing, multi-physics, Masters in computer science, custom Artificial Intelligence, data engineering, Bachelors in computer science.Certified Secure Software Lifecycle Professional (CSSLP) is essential.
  • Critical modeling experience with a focused processing of converting pieces of unstructured data into structured data.
  • Extensive experience in AI powered software development management and advanced analytics.
  • In-depth working knowledge of modeling chaotic dynamics software is essential.
  • Strong programming skills in JAVA,SQL, C++, RUSand experience with handling large data sets.
  • Highly analytical individual with strong problem-solving skills and keen attention to details.
  • Certified Authorization Professional (CAP)
  • Certified Network Defender (CND)
  • Information Systems Security Architecture Professional (ISSAP)
  • Certified Information Security Manager (CISM)
  • Information Systems Security Engineering Professional (ISSEP)
  • Certified Ethical Hacker (CEH)
  • Computer Hacking Forensics Investigator (CHFI)
  • Information assurance system architecture and engineer (IASAE)
  • It is prerequisite to be certified in one of the listed DoD 8570 Certifications.

#J-18808-Ljbffr

Get the latest insights and jobs direct. Sign up for our newsletter.

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

Industry Insights

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

Negotiating Your AI Job Offer: Equity, Bonuses & Perks Explained

Artificial intelligence (AI) has proven itself to be one of the most transformative forces in today’s business world. From smart chatbots in customer service to predictive analytics in finance, AI technologies are reshaping how organisations operate and innovate. As the demand for AI professionals grows, so does the complexity of compensation packages. If you’re a mid‑senior AI professional, you’ve likely seen job offers that include far more than just a base salary—think equity, bonuses, and a range of perks designed to entice you into joining or staying with a company. For many, the focus remains squarely on salary. While that’s understandable—after all, your monthly take‑home pay is what covers day-to-day expenses—limiting your negotiations to salary alone can leave considerable value on the table. From stock options in ambitious startups to sign‑on bonuses that ‘buy you out’ of your current contract, modern AI job offers often include elements that can significantly boost your long-term wealth and job satisfaction. This article aims to shed light on the full scope of AI compensation—specifically focusing on how equity, bonuses, and perks can enhance (or sometimes detract from) the overall value of your package. We’ll delve into how these elements work in practice, what to watch out for, and how to navigate the negotiation process effectively. Our goal is to provide mid‑senior AI professionals with the insights and tools to land a holistic compensation deal that accurately reflects their technical expertise, leadership potential, and strategic importance in this fast-moving field. Whether you’re eyeing a leadership role in machine learning at an established tech giant, or you’re considering a pioneering position at a disruptive AI startup, the knowledge in this guide will help you weigh the merits of base salary alongside the potential riches—and risks—of equity, bonuses, and other benefits. By the end, you’ll have a clearer sense of how to align your compensation with both your immediate lifestyle needs and long-term career aspirations.

AI Jobs in the Public Sector: MOD, NHS & Gov Digital Service Opportunities

Artificial intelligence (AI) has rapidly evolved from a niche field of computer science into a transformative force reshaping industries across the globe. From healthcare to finance and from education to defence, AI-driven tools and techniques are revolutionising how we approach problems, improve efficiency, and make data-driven decisions. Nowhere is this transformation more apparent than in the United Kingdom’s public sector. Key government entities, including the Ministry of Defence (MOD), the National Health Service (NHS), and the Government Digital Service (GDS), are increasingly incorporating AI into their operations. Consequently, AI jobs within these bodies are growing both in number and strategic importance. In this comprehensive blog post, we will explore the landscape of AI jobs across the UK public sector, with a close look at the MOD, the NHS, and the Government Digital Service. We will delve into the reasons these organisations are investing heavily in AI, the types of roles available, the essential skills and qualifications required, as well as the salary ranges one might expect. Whether you are a new graduate keen to make a meaningful impact through your technical skills or a seasoned professional looking for your next career move, the public sector offers a wealth of opportunities in AI. By the end of this article, you will have a clearer understanding of why AI is so crucial to the public sector’s success, which roles are in demand, and how you can tailor your application to stand out in a competitive and rewarding job market.

Contract vs Permanent AI Jobs: Which Pays Better in 2025?

n the ever-evolving world of technology, the competition for top talent in artificial intelligence (AI) is intense—and the rewards are significant. By 2025, AI roles in machine learning, natural language processing, data science, and robotics are expected to be among the highest-paid professions within the UK technology sector. As an AI professional, deciding between contracting (either as a day‑rate contractor or via fixed-term contracts) and permanent employment could drastically impact your take‑home pay, job security, and career trajectory. In this article, we will delve into the various types of AI roles in 2025—particularly focusing on day‑rate contracting, fixed-term contract (FTC) roles, and permanent positions. We will compare the earning potential across these three employment types, discuss the key pros and cons, and provide practical examples of how your annual take‑home pay might differ under each scenario. Whether you are already working in AI or looking to break into this booming field, understanding these employment options will help you make an informed decision on your next move.