AI Engineering Manager

eFinancialCareers; Greater London; Hybrid; GBP 90,000 - 120,000; Full time

Benefits offered by this job

Hybrid working

Job summary

eFinancialCareers is seeking an experienced AI Engineering Manager to lead the design, development and delivery of innovative AI solutions in healthcare, with opportunities across regulated sectors. You will manage cross-functional teams, guide architecture and ensure production-grade delivery.

In a hands-on leadership role, you will work with clients and senior stakeholders, drive responsible AI, and foster technical excellence across software, data and cloud platforms in a hybrid London

Qualifications

• Proven experience leading AI/ML production deployments.
• Strong Python and software engineering practices.
• Experience delivering AI on Azure or AWS with containers.
• Excellent client facing stakeholder management.

Responsibilities

• Lead multidisciplinary teams delivering production-grade AI solutions.
• Own technical direction, architecture and engineering standards across AI projects.
• Design and deliver AI solutions involving generative AI, LLMs, retrieval-augmented generation (RAG), prompt engineering and agentic AI.
• Establish robust approaches to model evaluation, monitoring, performance measurement and continuous improvement.
• Drive high-quality engineering practices, including Python development, automated testing, code reviews and CI/CD.
• Design and deliver scalable cloud-based AI solutions using platforms such as Microsoft Azure or AWS, alongside technologies including Docker and Kubernetes.
• Work with large-scale, unstructured and multimodal datasets to develop effective AI-enabled solutions.
• Ensure responsible AI principles are embedded throughout delivery, considering security, privacy, ethics, interpretability and governance.
• Build trusted relationships with clients and senior stakeholders, translating complex technical concepts into clear business outcomes.
• Coach, mentor and develop engineers, supporting technical excellence and continuous learning.l>
• Contribute to project planning, delivery governance and the development of new AI capabilities and propositions.

Skills

AI engineering leadership

Software architecture

Python development

CI/CD practices

Docker

Kubernetes

Cloud platforms

Client-facing communication

Mentoring engineers

Tools

Docker

Kubernetes

Azure

AWS

Job description

£90,000 to 120,000 GBP

bonus

Hybrid WORKING

Location: Central London, Greater London - United Kingdom Type: Permanent

AI Engineering Manager

Location: UK - Hybrid / Flexible

Salary: Up to £120,000 base salary, dependent on experience + Bonus

The Opportunity

We are seeking an experienced AI Engineering Manager to lead the design, development and delivery of innovative AI solutions for complex, large-scale environments. This is a hands-on technical leadership role combining AI engineering, solution architecture, project delivery and people management.

You will lead multidisciplinary teams to take AI and machine learning solutions from concept through to production, ensuring they are scalable, secure, reliable and deliver measurable value. Your initial work will focus on healthcare, with further opportunities across public sector and other highly regulated environments.

The successful candidate will be comfortable operating as the senior technical lead on projects, working closely with clients and senior stakeholders while guiding teams across software engineering, data engineering and cloud/platform engineering.

Key Responsibilities

• Lead multidisciplinary teams delivering production-grade AI and machine learning solutions.
• Own technical direction, architecture and engineering standards across AI projects.
• Design and deliver solutions involving generative AI, large language models (LLMs), retrieval-augmented generation (RAG), prompt engineering and agentic AI.
• Establish robust approaches to model evaluation, monitoring, performance measurement and continuous improvement.
• Drive high-quality engineering practices, including Python development, automated testing, code reviews and CI/CD.
• Design and deliver scalable cloud-based AI solutions using platforms such as Microsoft Azure or AWS, alongside technologies including Docker and Kubernetes.
• Work with large-scale, unstructured and multimodal datasets to develop effective AI-enabled solutions.
• Ensure responsible AI principles are embedded throughout delivery, considering security, privacy, ethics, interpretability and governance.
• Build trusted relationships with clients and senior stakeholders, translating complex technical concepts into clear business outcomes.
• Coach, mentor and develop engineers, supporting technical excellence and continuous learning.l>
• Contribute to project planning, delivery governance and the development of new AI capabilities and propositions.

Essential Experience

• Proven experience leading multidisciplinary teams delivering AI or machine learning solutions into production.
• Strong technical leadership and architecture experience across AI engineering and software delivery.
• Practical knowledge of generative AI, LLMs, RAG, prompt engineering, agentic AI and model evaluation.
• Strong Python development skills and a sound understanding of software engineering best practice.
• Experience delivering AI solutions at scale on Azure or AWS, ideally using containerisation and orchestration technologies such as Docker and Kubernetes.
• Experience working with complex datasets, including unstructured or multimodal data.
• An understanding of responsible AI, security, privacy and the governance considerations involved in deploying AI solutions.
• Demonstrable experience managing, mentoring and developing technical teams.
• Strong client-facing communication skills, with the ability to engage senior stakeholders and lead technical discussions.

Desirable Experience

• Experience with PyTorch, TensorFlow or other machine learning frameworks.
• Knowledge of LLM fine-tuning, model distillation and optimisation techniques.
• Experience with vector databases, semantic search, knowledge graphs or related technologies.
• Familiarity with AI governance frameworks, security standards or ISO 42001.
• Contributions to open-source projects, research or the wider AI engineering community.
• Experience supporting presales, shaping AI propositions or identifying opportunities to commercialise AI capabilities.

The Ideal Candidate

You will be an accomplished AI engineering leader who combines strong technical depth with the ability to lead people, manage complex delivery and build trusted client relationships. You will enjoy working in a collaborative consulting environment, tackling challenging problems and delivering AI solutions that move beyond experimentation into real-world use.

Security clearance: Candidates must already hold, or be eligible to obtain, UK Security Check (SC) clearance.