PRINCIPAL MACHINE LEARNING INFRASTRUCTURE ENGINEERS-AEROSPACE AND DEFENSE

Gentrian; London; On-site; GBP 70,000 - 120,000; Full time

Job description

PRINCIPAL MACHINE LEARNING INFRASTRUCTURE (ML PLATFORM AND OPERATIONS) - ENGINEERS:

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, delivering solutions through innovation with uncompromising agility.

JOB DESCRIPTION:

As a newly created role for a team of four, the oversight team requires a PLATFORM DESIGNED TO HANDLE COMPLEX WORKLOADS. This involves a machine learning development system, a specialized infrastructure needed to deliver complex AI/ML workloads focused on training deep learning models to improve distributed training and hyperparameter optimization techniques across GPU clusters without rewriting code or restructuring infrastructure.

Areas to focus on will include a custom-built internal ML software infrastructure, enabling AI and workloads to run on the same infrastructure. This is a software-only development project for MULTIPLE CROSS DOMAIN PLATFORMS. The role focuses on a solution-level-based ML development training, including hardware, software, validated and pre-configured solutions. The work will be performed out of the electromagnetic spectrum and radio spectrum, impacting real-time decision-making and execution.

WHAT ARE WE LOOKING FOR:

• Extensive experience in ML development in PYTORCH, Kubernetes, and TensorFlow.
• A proven record in AI and machine learning, focusing on end-to-end solution integration with existing infrastructure.
• A leading developer focused on transparent model reporting with the utilization of AI infrastructure and ML team collaboration.
• Academic leadership in transformative ML-powered application workflows.
• Experience deploying ML models to production environments.
• Experience with MLOps infrastructure for robust deployment and performance.
• Experience in high-performance integrated systems management for metrics, benchmark performance, and real-time alerts management.
• Hands-on big data analytics, advanced analytics, and machine learning development system roadmap.
• Highly skilled in data acquisition and preparation.
• Proficient with model deployment and inference.
• Executive-level experience in model development and training.

PHYSICAL DEMANDS: This position requires the ability to communicate and exchange information, utilize equipment necessary to perform the job, and move about the office.

ENVIRONMENT: This position will operate in the regulatory engineering division, MULTIDOMAIN DEFENCE DOCK.

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.

KEY REQUIREMENTS:

• Professional in ML operationalization, including workflow/model management, machine learning development environment (MLDE) management Node, MLOps flow.
• 20+ years of experience in professional software development.
• Strong programming skills.
• Great skills in data engineering and big data technologies.
• Highly skilled with object-orientation and software development best practices.
• Offensive Security Certified Professional (OSCP).
• Certified Information Security Manager (CISM).
• Information Systems Security Architecture Professional (ISSAP) is essential.
• Certified Authorization Professional (CAP).
• Information Assurance System Architecture and Engineer (IASAE).
• It is 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 EXPERIENCE PSYCHOLOGIST
• STAGE 3: PRE-SCREENING (verification checks & DV security clearance)
• STAGE 4: INTERVIEW WITH THE CEO, CTO & GC