Posted 5 days ago
Description
We are working with a global professional services organisation delivering complex technology and transformation programmes for major international clients. You’ll join a specialist AI and engineering environment in London, working across client engagements and internal teams. The role offers hybrid flexibility, senior stakeholder exposure and the opportunity to shape high-impact Generative AI solutions across data-rich and regulated industries.
The Role
As a Lead AI Engineer, you’ll combine deep technical expertise with senior client engagement to solve complex business problems through Generative AI and machine learning. You’ll shape AI strategies, lead end-to-end engineering delivery and influence how production systems are designed, evaluated, secured and operated. Your scope will span LLMs, RAG, generative architectures, MLOps/LLMOps and cloud platforms, while working closely with technical teams, business stakeholders and leadership. You’ll also help strengthen reusable engineering practices and guide cross-functional AI teams.
- Lead the design and delivery of production-grade AI and Generative AI solutions.
- Shape AI strategies with senior stakeholders and align technology with business goals.
- Design scalable pipelines covering data, models, evaluation and secure deployment.
- Oversee LLM, diffusion and other generative model development and operationalisation.
- Establish evaluation, security and responsible AI guardrails for production systems.
- Mentor cross-functional teams and influence reusable AI engineering standards.
Benefits and Perks
You’ll join an inclusive, flexible environment that values technical expertise, wellbeing and meaningful professional impact. The role is London-based with hybrid working and exposure to varied international client projects.
- London-based hybrid working across office, remote, virtual collaboration and client environments.
- Flexible working designed to support career commitments and home life.
- Access to varied international client projects and complex AI transformation challenges.
- Technical and personal development through complex delivery and collaboration with experienced specialists.
- Opportunities to lead, influence and shape AI engineering capability at scale.
Requirements
You’ll bring strong technical depth alongside the ability to influence senior stakeholders and delivery teams.
Must-Have
- Expert Python skills with strong experience across PyTorch, TensorFlow and modern AI frameworks.
- Hands-on expertise with LLMs, prompt engineering, RAG, vector databases and generative architectures.
- Production experience across AI/ML deployment, evaluation, security and MLOps/LLMOps.
- Experience with AWS, Azure or GCP and enterprise-scale AI environments.
- Strong stakeholder communication, technical leadership and team management experience.
Nice-to-Have
- Experience in regulated or data-rich sectors such as financial services or healthcare.
- LangChain, LangGraph or comparable open-source Generative AI tooling.
- SQL, Spark or Hadoop experience, plus relevant cloud AI certifications.
- Patents, publications or meaningful open-source contributions demonstrating AI thought leadership.
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