At a Glance
- Tasks: Join a dynamic team to develop cutting-edge machine learning models for aerospace and defence.
- Company: Bullisher is a fintech innovator aiming to transform a $3 trillion industry with data-driven solutions.
- Benefits: Enjoy a collaborative startup environment with opportunities for innovation and professional growth.
- Why this job: Be part of a revolutionary project that influences government policies and drives industry change.
- Qualifications: 10+ years in software engineering with expertise in Python, R, and AI development required.
- Other info: Candidates must be legally authorised to work in the UK; visa sponsorship is not available.
The predicted salary is between 48000 - 72000 £ per year.
SENIOR SOFTWARE ENGINEER – 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 revolutionize a $3 trillion industry. We spearhead an industry-leading Blackbox to facilitate and administer trade agreements, driven by our new generation benchmark delivering solutions through innovation with uncompromising agility. We predict trends in the aerospace and government defense entities and aim to influence actual changes in government policies through innovation. JOB DESCRIPTION: As a newly created role for a team of four, you will integrate large-scale data preprocessing with machine learning, transparent integration, and the use of data structures and algorithms, enabling training models leveraging a distributed in-memory machine learning platform. Areas to cover will include analytics engines for large-scale data processing. You will demonstrate model training together with hyper-parameter tuning (Random Grid-Search with time constraint) of various algorithms using AutoML-training meta model combining different algorithms. You will demonstrate target encoding by using Bullisher API documentation, the dashboard, analytics, configuration, and application health. We are a startup enhancing the formation to early stages of a product development project. The oversight requires you to deploy trained models into production, expedite a branch deployment, and design, deploy, and operate a full-stack system. Areas to improve will include replacing existing workflows with advanced machine learning algorithms, including NLP and ensemble methods using powerful data munging, ML pipelines with advanced algorithms fully deployed for speed and accuracy with graphical user interface (GUI). You will also participate in software development meetings with the CEO, CTO, CIO, V.P of Data Processing and Governance, and V.P of Software Engineering and Advanced Analytics to determine technical requirements and will undergo a formal approval, review, and voting by representatives for security impact analysis (the Change Approval Board). WHAT ARE WE LOOKING FOR: A proven record of implementation of method transformers. The technical ability to convert one data-frame into a tokenizer. Proficiently fitting implementing methods that accept data-frames and produce models into transformers. In-depth knowledge of deployment of chains, multiple transformers, and estimators to create ML workflow. Develop detailed analyses repeatedly evaluating different features in engineering steps, algorithms, hyper-parameters, train original datasets, and cross-validation. Superior ability to build and execute specifying a list of learning models combined into a powerful meta-learning model. Solid experience with specifying a mechanism of converting categorical features to continuous features based on the mean calculated values of the targeted labels column and running it through the pipeline model. PHYSICAL DEMANDS: This position requires the ability to communicate and exchange information and utilize equipment necessary to perform the job. ENVIRONMENT: This position will operate in the following areas of the organization: regulatory engineering division “Multidomain Defence Dock.” MULTIDOMAIN DEFENCE DOCK: Standard engineering lab environment. Employees must be legally authorized to work in the UK. Verification of employment eligibility will be required at the time of hire. Visa sponsorship is not available for this position. QUALIFICATION, KEY REQUIREMENTS AND SKILL SET: Critical programming experience in Python, R, Scala, SQL, JAVA, C++, and C#. 10+ years of experience as a Software Engineer. Extensive experience in AI-powered software development management and advanced analytics. Certified Information Security Manager (CISM) is essential. Offensive Security Certified Professional (OSCP), Certified Information Security Manager (CISM) is essential. Certified Authorization Professional (CAP) Information Assurance System Architecture and Engineer (IASAE) It is a prerequisite to be certified in one of the listed DoD 8570 Certifications. INTERVIEW PROCESS: STAGE 1: Cognitive Ability Test STAGE 2: Cognitive Assessment Screening with a 30+ years experienced psychologist STAGE 3: Pre-Screening (verification checks & security clearance) STAGE 4: Interview with the CEO, CTO & GC #J-18808-Ljbffr
Contact Detail:
Gentrian Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land SENIOR SOFTWARE ENGINEER-AEROSPACE AND DEFENSE:
✨Tip Number 1
Familiarise yourself with the latest trends in aerospace and defence technology. Understanding the current landscape will not only help you during interviews but also demonstrate your genuine interest in the industry.
✨Tip Number 2
Brush up on your machine learning skills, particularly in areas like hyper-parameter tuning and model deployment. Being able to discuss specific algorithms and their applications will set you apart from other candidates.
✨Tip Number 3
Network with professionals in the aerospace and defence sectors. Attend relevant meetups or webinars to connect with industry insiders who might provide insights or even referrals for the position.
✨Tip Number 4
Prepare for the cognitive ability tests by practising similar assessments online. This will help you feel more confident and perform better during the initial stages of the interview process.
We think you need these skills to ace SENIOR SOFTWARE ENGINEER-AEROSPACE AND DEFENSE:
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in software engineering, particularly in machine learning and data processing. Emphasise your proficiency in Python, R, and other required programming languages, as well as any certifications you hold.
Craft a Compelling Cover Letter: Write a cover letter that specifically addresses the job description. Mention your experience with large-scale data preprocessing, model training, and deployment. Show enthusiasm for the aerospace and defence industry and how your skills can contribute to Bullisher's mission.
Showcase Relevant Projects: Include examples of past projects where you've implemented machine learning algorithms or worked with data structures. Detail your role in these projects and the impact they had, especially if they relate to AI-powered software development.
Prepare for Technical Questions: Anticipate technical questions related to machine learning workflows, hyper-parameter tuning, and data transformation. Be ready to discuss your approach to solving complex problems and how you stay updated with industry trends.
How to prepare for a job interview at Gentrian
✨Showcase Your Technical Skills
Be prepared to discuss your experience with programming languages like Python, R, and SQL. Highlight specific projects where you've implemented machine learning algorithms or data processing techniques, as this role requires a deep understanding of these technologies.
✨Understand the Company’s Vision
Research Bullisher's mission to disrupt the aerospace and defence industry. Be ready to articulate how your skills and experiences align with their goals, especially in terms of innovation and agility in software development.
✨Prepare for Cognitive Assessments
Since the interview process includes cognitive ability tests, practice problem-solving and analytical reasoning questions. Familiarise yourself with common assessment formats to boost your confidence and performance.
✨Demonstrate Collaboration Skills
This role involves working closely with senior executives and cross-functional teams. Prepare examples of past experiences where you successfully collaborated on projects, particularly in high-stakes environments, to show that you can thrive in a startup culture.