AI Engineer (Manager)
- Senior AI leadership role at one of the UK’s leading AI and Data businesses
- Lead multi-disciplinary teams delivering production-grade ML, generative AI and agentic AI solutions
- Hybrid working with UK-wide client engagement
- Salary £90,000 to £120,000
- UK work authorisation required
About the Company
Our client is a leading digital technology consultancy recognised as one of the UK’s foremost AI and data businesses, with a decade-long track record of delivering production-grade AI solutions across government, healthcare, defence and commercial sectors. Their 150-strong AI and Data Practice is trusted by Microsoft, AWS and others to deliver advanced solutions at citizen scale. Pioneers in responsible AI, they authored the UK government’s AI Cyber Security Code of Practice implementation guide. This is a genuinely exciting practice to join at a pivotal moment in its growth.
The Role
A senior AI leadership position for an experienced engineer who can drive the delivery of advanced AI solutions while leading, developing and inspiring a multi-disciplinary team. You will drive the adoption of modern AI frameworks, AIOps best practices and scalable cloud-native architectures, engaging with senior stakeholders to agree architectural principles and strategic direction. Alongside technical delivery, you will manage and develop your team, embed commercial acumen and build enduring client relationships. This role suits someone equally comfortable reviewing a model architecture and leading a C-suite conversation.
Key Responsibilities
- Lead multi-disciplinary teams to deliver advanced AI and ML solutions to production at scale
- Drive adoption of modern AI frameworks, AIOps best practices and scalable cloud-native architectures
- Engage with senior and C-level stakeholders to define architectural principles, strategic direction and system architecture
- Apply the latest AI engineering approaches including prompt engineering, RAG, agentic AI, model evaluation and monitoring
- Ensure responsible AI principles, model interpretability and ethical considerations are embedded throughout delivery
- Manage, coach and develop a team of AI engineers, setting standards and fostering a culture of engineering excellence
- Build and maintain enduring client relationships while embedding commercial acumen across the team
- Contribute to the growth of the wider AI and Data practice and community
What You’ll Need
Essential:
- Minimum 2:1 degree in Computer Science, AI, Data Science, Statistics or a related quantitative field
- Proven experience leading multi-disciplinary teams to deliver AI and ML solutions to production
- Demonstrable technical leadership across AI delivery including architecture, product design principles and engineering excellence
- Experience with modern AI engineering approaches including prompt engineering, RAG, agentic AI, model evaluation and drift detection
- Strong Python skills with solid grounding in software engineering best practices including CI/CD, testing and code reviews
- Experience developing solutions at scale on Azure and AWS, with containerisation and orchestration tools including Kubernetes and Docker
- Expertise in data engineering for AI including large-scale, unstructured and multimodal data
- Strong understanding of responsible AI principles, model interpretability and ethical considerations
- Excellent interpersonal and stakeholder management skills at C-level
- Demonstrated ability to manage, coach and develop engineers and wider communities
Desirable:
- Experience with deep learning frameworks such as PyTorch or TensorFlow, and fine-tuning or distillation of LLMs including GPT, Llama and Gemini
- Experience with vector databases, semantic search and knowledge graphs
- Active contribution to open-source AI projects, research publications or industry events
- Familiarity with AI security, privacy and compliance standards including ISO 42001
- Experience shaping commercial AI offerings, supporting pre-sales and winning AI work
Why Apply?
- Salary of £90,000 to £120,000
- Lead cutting-edge AI delivery on programmes operating at genuine national scale
- Join a 150-strong AI and Data Practice at a pivotal moment in its growth
- Trusted partner to Microsoft, AWS and some of the UK’s most significant public and commercial organisations
- Pioneer in responsible AI with real influence over policy, standards and industry direction
- People-first culture with a strong focus on innovation, continuous learning and engineering excellence
- Hybrid working within a collaborative and ambitious practice
Interested?
For a confidential conversation about this opportunity, connect with Justin Donaldson on LinkedIn or submit your CV via the link below.
