Machine Learning Engineer

6 months ago

Bristol, United States airbus Full time
Job Description:

SECURITY CLEARANCE: You will be subject to a BPSS check (including a criminal record check)

TRAVEL REQUIRED: Occasional travel within UK and international

LOCATION: Filton (Typically 3 days a week in the office, 2 days remote)

TYPE: Full time / STEM returner 

WHAT'S IN IT FOR YOU

  • Financial Reward: Competitive salary, annual profit share, contributory pension, share options, car leasing scheme, free onsite parking, season ticket loan, tax-free technology scheme, shopping discounts and much more

  • Work / Life Balance: 35 hour week and Friday afternoons off, hybrid working, flexible working, option to buy/sell holiday

  • Personal Development: Personalised development plan, Airbus Leadership University and unlimited access to 10,000+ E-learning courses, internal mobility including international opportunities

  • Health & Wellbeing: Bupa health insurance (including assisted fertility treatments and gender dysphoria and reassignment support), wellbeing benefits (including 24/7 online GP and mental health support), discounted family health / dental insurance / eye tests, cycle-to-work scheme, on-site canteen and coffee shop, lunchtime yoga / meditation 

  • Family and Caregiving: Life assurance, enhanced pay for maternity, paternity, adoption and shared parental leave and caregiving

  • Inclusive Environment: Wellbeing room, Multi-faith room, Employee Representative Groups (Gender, LGBTQ+, International, Generational, Disability, Social & Cultural Diversity, Neurodiversity) 

Our world is changing. And so are we. From our commitment to zero-carbon flight (#ZEROe) to cleaning up space, sustainability is at the heart of our purpose. So what's your next change?
 

This is a fantastic opportunity to join a transnational team who work across all the core Airbus divisions on developing, advising and implementing on Artificial Intelligence initiatives. This is an area that will impact almost all areas of our business and therefore we are looking for someone who is solutions focused, forward thinking and someone who enjoys working closely with key stakeholders.

HOW YOU WILL CONTRIBUTE TO THE TEAM

  • Work closely with data science teams to design seamless workflows for continuous model training, inference and monitoring

  • Assure system architecture meets security and compliance requirements and expectations

  • Manage project timelines, resources and deliverables to ensure successful project completion

  • Work with AI/ML Architects to establish scalable ML frameworks and design standards

ABOUT YOU

  • ​Experience leading technical teams and engaging with business stakeholders to take ideas from concept to production

  • Proficiency in Python or a similar language

  • Experience in developing, deploying and industrialising, scalable ML/AI solutions in production

  • Proficiency in Docker, Kubernetes, and AWS services

  • Experience using Deep Learning frameworks like Tensorflow, Jax, and/or Pytorch

  • Proven experience in either NLP, Computer Vision, Anomaly Detection or Hybrid Modeling

Not a 100% match? No worries Airbus supports your personal growth with customised development solutions.


HOW WE CAN SUPPORT YOU


Many of our staff work flexibly in many different ways, including part-time. Please talk to us at interview about the flexibility you need and we’ll always do our best to accommodate your request. 

Please let us know if you need us to make any adjustments for the selection process – you can share this with your Talent Acquisition Partner if you are invited to interview. Examples may include (but not exclusive to) accessible facilities; auxiliary aids; room layout, etc. Any information disclosed will be treated in the strictest confidence.
#LI-SG1

This job requires an awareness of any potential compliance risks and a commitment to act with integrity, as the foundation for the Company’s success, reputation and sustainable growth.

Company:

Airbus Operations Limited

Employment Type:

Permanent

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Experience Level:

Professional

Job Family:

Digital

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