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About the Role
Conduct high-impact AI research to develop novel, trustworthy, and operationally relevant AI capabilities across Thales UK businesses and for customers. Collaborate with a multidisciplinary team to transform challenges into validated AI research outcomes and transferable technical capabilities.
Responsibilities
- Conduct applied and experimental AI research to solve complex customer and business problems.
- Develop state-of-the-art AI/ML solutions, proofs of concept, and research prototypes.
- Investigate, design, implement, and evaluate advanced AI methods.
- Translate business and customer needs into research questions and technical requirements.
- Design robust evaluation methodologies.
- Collaborate with AI V&V, AI Assurance, Human-Machine Teaming, and Applied AI groups.
- Build reproducible research pipelines.
- Ensure Responsible AI practices are embedded throughout the research lifecycle.
- Create proofs of concept, publications, invention disclosures, patents, technical reports, and reusable research assets.
- Package research outputs for transition to AI engineering teams.
- Support bids, PoCs, demos, customer workshops, and stakeholder briefings.
- Work with data engineers, architects, and domain experts on data acquisition and management.
- Horizon scan for major AI research and technology trends and assess relevance to Thales markets.
Requirements
- Degree/Masters, an equivalent in a relevant Software/AI subject, or equivalent experience.
- Strong Python programming skills.
- Proficiency with modern software engineering and research practices.
- Experience conducting AI/ML research or advanced AI development in complex technical environments.
- Expertise in ML/DL algorithms and techniques.
- Proven ability to take AI research from problem framing through experimental design, model development, evaluation, and prototype demonstration.
- Hands-on experience in at least one advanced AI area.
- Experience with AI frameworks and libraries: PyTorch, TensorFlow, scikit-learn, Hugging Face Transformers; OpenCV.
- Strong understanding of experimental design, statistical evaluation, benchmarking, and model validation.
- Experience with experiment tracking and reproducibility tools.
- Data wrangling and analysis using Pandas, NumPy, SQL.
- Model optimisation and research-to-prototype deployment fundamentals.
- Knowledge of Responsible AI and security awareness.
- Scientific and technical writing skills.
- Demonstrable experience producing high-quality technical documentation, research outputs, model evaluations, or stakeholder briefings.
- Ability to engage and influence diverse stakeholders.
- Collaborative team player who drives outcomes while maintaining scientific rigour.
- Excellent communication skills.
- Curious, creative, and intellectually rigorous.
- Encourages an open environment where ideas are shared and innovation thrives.
- Sole British National required.
- Must achieve Security Clearance (SC) without any caveats.
- Generally need to have resided in the UK for the last 5 years for full SC.
Skills
- Python
- Software Engineering
- Research Practices
- AI/ML Research
- Deep Learning
- Computer Vision
- NLP/LLMs
- Multimodal AI
- Self-supervised Learning
- Reinforcement Learning
- Time-series Analytics
- Foundation Models
- PyTorch
- TensorFlow
- scikit-learn
- Hugging Face Transformers
- OpenCV
- Pandas
- NumPy
- SQL
- MLflow
- Weights & Biases
- ONNX
- TorchScript
- FastAPI
- gRPC
- CUDA
- Explainability
- Privacy-preserving methods
- Bias assessment
- Safety
- Assurance
- Adversarial robustness
- Secure AI
- Technical Writing
- Stakeholder Engagement
- Teamwork
- Communication
- Problem Solving
- Innovation
Location
- Reading, United Kingdom
- Reading (RG2 6GF) - Hybrid
Work Type
- Hybrid
Experience Level
- Equivalent experience to Degree/Masters
- Experience conducting AI/ML research or advanced AI development
- Hands-on experience in at least one advanced AI area
- Experience with AI frameworks and libraries
- Strong understanding of experimental design, statistical evaluation, benchmarking and model validation
- Experience with experiment tracking and reproducibility tools
- Data wrangling and analysis experience
- Model optimisation and research-to-prototype deployment fundamentals
- Responsible AI and security awareness
- Scientific and technical writing skills
- Demonstrable experience producing high-quality technical documentation
- PhD or equivalent research experience (Desirable)
- Experience with governance of architecture, research designs or detailed technical designs (Desirable)
- Experience with large-scale data initiatives, data labelling strategies, synthetic data generation and data quality management (Desirable)
- Familiarity with MLOps practices and cloud platforms for AI deployment (Desirable)
- Experience working with academic partners, research institutions, grant-funded programmes or collaborative research consortia (Desirable)
- Experience contributing to bids, proposals, customer demonstrations or externally funded innovation activities (Desirable)
- Knowledge of cloud AI services, HPC environments, containerisation and secure research environments (Desirable)
Education Level
- Degree/Masters or equivalent in a relevant Software/AI subject
- PhD or equivalent research experience in Artificial Intelligence, Machine Learning, Computer Science, Mathematics, Engineering, Physics or a related discipline (Desirable)
Benefits
- Bonus
- Strong pension contribution
- Private healthcare
- Development focused targets
- Relocation support
- Variety of learning, development and career enhancement opportunities
- Further support towards academic and membership attainments
- Private medical insurance
- Buying or selling annual leave
- Cycle to work schemes
- Employee discounts
- Paid volunteering day
- Stocks and shares
- Annual bonus
About the Company
- Thales is a global technology leader with more than 83,000 employees on five continents.
- With over 7,500 people in the UK, operating across defence, space, aerospace, and digital security, we help build a future we can all trust.
- Thales supports the security and stability of our nation by providing extraordinary technology to our customers, as well as delivering social value to the UK with our products and services.
Equal Opportunity
- Thales ensures equal opportunities, pay, and working conditions for all.
- We are committed to creating a workplace where everyone feels valued for who they are and the unique strengths they bring.