Role overview
You will work for a division of BAE Systems who helps nations, governments and businesses around the world defend themselves against cyber crime, reduce their risk in the connected world, comply with regulation, and transform their operations. We’re a consultancy and products business and employ smart, motivated individuals who work together across a range of projects and products. You’ll get to work on a variety of different systems for different customers throughout your career with us. We’re passionate about Diversity and Inclusion in our workforce and the people you’ll work with will reflect this. We employ over 4,000 people across 18 countries in the Americas, APAC, UK and EMEA.
For more information please visit our website: https://www.baesystems.com/en/cybersecurity/national-security
*Help us secure a connected world. Apply now and be inspired.
Life at BAE Systems Digital Intelligence**
We are embracing Hybrid Working. This means you and your colleagues may be working in different locations, such as from home, another BAE Systems office or client site, some or all of the time, and work might be going on at different times of the day.
By embracing technology, we can interact, collaborate and create together, even when we’re working remotely from one another. Hybrid Working allows for increased flexibility in when and where we work, helping us to balance our work and personal life more effectively, and enhance well-being.
Diversity and inclusion are integral to the success of BAE Systems Digital Intelligence. We are proud to have an organisational culture where employees with varying perspectives, skills, life experiences and backgrounds – the best and brightest minds – can work together to achieve excellence and realise individual and organisational potential.
What you'll work on
- Being a key technical point-of-contact for AI and data science expertise, sharing knowledge across meetings, bids and technical projects.
- Leading and working on technical AI projects, working with ML engineers, project managers and non-technical customers.
- Meeting with users to help scope out ongoing and future AI projects, understanding use-cases and planning out delivery plans which capture the subtleties of the requirements.
- Working alongside ML engineers to help build and deploy models into products across our AWS cloud services
- Assisting with writing bid responses to customer problems, often requiring diving into the literature surrounding complex technical concepts in AI, ML and statistics.
- Presenting results of technical work both internally and to our customers.
- Helping mentor and manage junior team members and graduates across the business.
- Helping to educate others across the business in AI and related methods through collaborative work (including software engineers, leadership, non-technical consultants) and presenting to wider communities via blogs, events and conferences.