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Tech Stack
Tools & technologiesCloudPython
About the role
Key responsibilities & impact- Architect, design, and deliver advanced AI solutions leveraging state-of-the-art machine learning , generative and agentic AI technologies.
- Drive the adoption of modern AI frameworks, AI Ops best practices and scalable cloud-native architectures.
- Provide hands-on technical leadership , collaborating with customers to translate business challenges into trustworthy AI solutions and ensuring responsible AI practices throughout.
- Foster a culture of innovation, continuous learning, and engineering excellence.
- Manage, coach, and develop a small number of staff, with a focus on managing employee performance and assisting in their career development.
- Provide direction and leadership for your team as you solve challenging problems together.
Requirements
What you’ll need- A minimum of a 2.1 degree in Computer Science, AI, Data Science, Statistics or in a similar quantitative field.
- Have a deep understanding and developing of AI/ML models, including time series, supervised/unsupervised learning, reinforcement learning and LLMs.
- Experience with the latest AI engineering approaches such as prompt engineering, retrieval-augmented generation (RAG ), and agentic AI.
- Strong Python skills with a grounding in software engineering best practices (CI/CD, testing, code reviews etc).
- Expertise in data engineering for AI: handling large-scale, unstructured, and multimodal data.
- Understanding of responsible AI principles, model interpretability, and ethical considerations.
- Strong interpersonal skills with the ability to lead client projects and establish requirements in non-technical language.
- Must have active UK Government Security Clearance.
Benefits
Comp & perks- Health insurance
- Professional development opportunities
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
machine learninggenerative AIagentic AIAI frameworksAI Opscloud-native architectureAI/ML modelsPythondata engineeringprompt engineering
Soft Skills
technical leadershipcollaborationinnovationcontinuous learningengineering excellencecoachingperformance managementproblem-solvinginterpersonal skillsclient project leadership
