Lead Machine Learning Engineer

Key Skills

Amazon Elastic Compute Cloud-EC2, Apache NiFi, AWS, AWS Sagemaker, Big Data Technology, Business Intelligence, Data science techniques, Effective communication skills, Machine learning techniques, Pandas, SPARK Programming

Job Description

Your Opportunity to Define Possible. Our Opportunity to Deliver the Nation’s Security. Together.

Salary: £57,300 - £85,900

Role clearance type: Must be able to obtain and maintain government clearance

Location: Primary: London, Other: Cheltenham

About Your Opportunity: As a Lead Machine Learning (ML) Engineer you will have a solid understanding of core programming/engineering concepts with deep knowledge of how to apply this to Machine learning problems. You will be forward thinking, able to look at new/original problems and propose solutions as well as providing quick proof of concepts if needed. You will have experience working with both engineers and data scientists, taking concepts and providing solid enterprise solutions.

Your Benefits:

• Flexible working schedules - we offer flexible and hybrid working arrangements. Talk to us at the application stage about any scheduling preferences you may have.
• Flexible Benefits Package – choose which NGUKL benefits you want to satisfy your personal needs. Core Benefits provided for you are Healthcare, Dental, Life Assurance and Pension. Benefits you can flex include Critical Illness Cover, Health Cash Plan, and Health Assessments.
• Employee Incentive Programme – exceptional performance is recognized through our annual incentive programme which is awarded to top performers who excel.
• Career Development – opportunity for ongoing professional development and career growth opportunities.

Your Responsibilities:

• Converting concepts into high quality production systems.
• Bridging communications and development between software and data science.
• Customer engagement and opportunity growth.
• Representing the company through customer product demonstrations and conferences
• Leadership, coaching & mentoring and all round role model.

Your Experience:

• A broad understanding of ML tooling enabling you to identify the right tool for the job
• Comfortable working with both small and big data (Pandas, Spark, NiFi)
• Productionising and optimising (Fine tuning, Quantization, Pruning) ML models using ML frameworks (Preferably PyTorch)
• System design both On Prem & Cloud (preferably AWS)
• Building and deploying in a cloud environment (primarily AWS) utilising native tooling such as SageMaker/ECS but also EC2 deployment

Your Future Team:

• ML Engineering bridges the gap between data science and software; as such, you will have a stake in both worlds, working with the data science team to translate proof of concepts into working solutions and executing them within the software community.
• We believe that creating a team that values diversity and fosters inclusion is essential to great performance. We know the best ideas come from diversity of thought, background, perspective, culture, gender, race, age and many other elements. We welcome candidates from all backgrounds and particularly from communities currently under-represented within our industry.
• We treat everyone with respect and foster safe and inclusive environments.

About Our Responsibilities:

Our customers operate in unique environments which offer new and exciting challenges every day, cultivating a place where you can learn and thrive, working alongside the best minds in industry. We’ll give you space to develop your career, where your ideas can shape the future of our dynamic business. We promote collaboration to achieve more than we could imagine, together. And within a respectful and inspirational environment, we value what you say and do.

How to Apply:

Interested in our opportunity? Yes – then simply submit your application online. Your application will be reviewed by one of our expert recruiters who’ll then respond advising you of the outcome and next steps for successful candidates.Possibly, I’d like to find out more – then connect direct with talentenquiries@uk.ngc.com, where one of our recruitment business partners will be happy to support you with any enquires.

Background checks and potentially security clearance form part of the recruitment process, our team will inform you of the procedures when required.

Northrop Grumman UK: Work with a global brand that makes a real contribution to our nation’s security and future. At Northrop Grumman UK, the brightest minds come together to push the boundaries and Define Possible. As leaders in the digital transformation of Aerospace, Defence and Intelligence we are providing ground-breaking outcomes for our customers.

UK Cyber & Intelligence Business: Our UK Cyber & Intelligence business combines modern software development approaches with a rich heritage and experience in the Defence and security sectors. Our customers have complex and sensitive data and information requirements requiring a mission partner who quickly understands the context, delivering and sustaining a portfolio of challenging technology projects at scale and pace, supporting them through an ambitious digital transformation programme.

Find out more: https://www.northropgrumman.com/careers/job-search-united-kingdom/