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This is an exciting time to join a team to help pioneer both customer's and own an AI adoption journey. Not only will you be directly making a huge impact through the solutions you develop, you’ll be doing it for an organisation who makes a huge impact to the security of the UK.
Responsibilities
- 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.
About You
- BSc (or MSc / PhD) in a quantitative, scientific discipline (e.g. maths, physics, computer science or similar).
- Expert knowledge of AI, ML and statistical methods, and their application across some of the following domains (e.g. NLP, images, audio, graphs, time series, tabular data).
- Several years’ experience working as a data scientist in industry or similar environment.
- Good knowledge of python, along with common machine learning and data analysis libraries (e.g. pandas, numpy, scikit‑learn, pytorch, transformers, statsmodels, pymc).
- Ability to absorb complex new scientific concepts and quickly get up to speed on new areas of the literature.
- Good understanding of software and ML engineering best‑practices (e.g. git, package development, model deployment).
- Ability to present complex technical concepts to both technical and non‑technical colleagues.
- Passion for good quality scientific work and a focus on truthfulness, robustness and customer/stakeholder requirements.
- Experience with utilising cloud services (e.g. AWS) for training and deploying models.
- Understanding of the ethical, privacy, security and policy concerns relevant to the application of AI/ML.
It Would Be Great If You Also Had Experience In Some Of These, But If Not We’ll Help You With Them
- Good knowledge of AWS cloud services (e.g. Lambda, ECS, Bedrock, S3, Sagemaker)
- ML Engineering and MLOps knowledge (e.g. Docker, ML flow)
- Experience working with government or other carefully regulated industries
- Track record of applying LLMs to robustly solve real problems
Security Clearance is required for this vacancy. If you are not currently Security Cleared, you will need to be eligible for this and willing to go through the process.
How We Will Support You
- Work‑life balance is important; you can work around core hours with flexible and part‑time working
- You’ll get 25 days holiday a year and the option to buy/sell and carry over from the year before
- Our flexible benefits package includes a competitive pension scheme, cycle to work scheme, taste cards and more
- You’ll have a dedicated Career Manager to help you develop your career and guide you on your journey through BAE
- You’ll be part of our company bonus scheme
- You are welcome to join any/all of our Diversity and Support groups. These groups cover everything from gender diversity to mental health and wellbeing.
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