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Global AI​/ML Engineer Manager

Job in City Of London, Central London, Greater London, England, UK
Listing for: Boston Consulting Group
Full Time position
Listed on 2026-10-26
Job specializations:
  • Software Development
    AI Engineer (Applied/Software), Software Architect, DevOps
Salary/Wage Range or Industry Benchmark: 120000 - 180000 GBP Yearly GBP 120000.00 180000.00 YEAR
Job Description & How to Apply Below

processes, and technology to deliver exceptional value, service, and flexibility to our consultants. Agile methodologies are central to this approach, and we seek leaders who are passionate about fostering this mindset across teams and business will play a pivotal role in establishing standards, practices, and expertise within your squad. You will act as a "player-coach," directly contributing to squad work while cultivating engineering talent.

By integrating solution architecture expertise with a focus on talent development, you will lead the creation and delivery of impactful GenAI products, enabling transformative outcomes for our business and customers.

Among your responsibilities, you will:

Leadership & Development Build, coach, and mentor engineers.

Lead by example as a "player-coach": directly contributing to code and architecture, while growing engineering talent and setting best practices.

Foster a culture of learning, experimentation, and curiosity.

Technical

Excellence Champion engineering excellence, clean architecture, and maintainable code across squads.

Hands-on in backend development - leading complex problem-solving in Python (especially FastAPI).Architect and support secure, scalable, and stable APIs and services that integrate with LLMs and modern cloud platforms (AWS).Promote Dev Ops practices, CI/CD pipelines, and automated quality assurance.

Leverage AI/agentic engineering tools for rapid development, with code-quality top of mind.

GenAI & System Thinking Drive adoption and experimentation with large language models (LLMs), working closely with product and research teams.

Prioritize efficiencies by using AI engineering tools within your team.

Identify and articulate system-level tradeoffs, risks, and opportunities in AI-enabled architectures.

Stay current with AI and software engineering trends, contributing to technical strategy, experimentation, and roadmap definition.

YOU'RE GOOD AT Inspiring and enabling others, people want to work with

and learn from you.

Enjoying coaching and developing people to improve their personal performance, knowledge, and expertise.

Thinking in systems and balancing tech trade-offs for long-term scalability.

Driving quality, performance, and security in everything you build.

Both planning and design along with execution and support.

Pushing a bias toward action and ownership, with empathy and a growth mindset.

Data-driven decision making, both in day-to-day management and in making strategic trade-offs.

What You'll Bring7+ years of hands-on software engineering experience with strong backend/API expertise using Python (FastAPI or Flask).1+ years of hands-on experience with LLMs: building RAG solutions, agentic workflows, integrating LLMs (e.g., OpenAI, Gemini, Anthropic, etc.) into products, building and integrating Model Context Protocol (MCP) servers, and authoring Claude Skills to extend agent capabilities, etc.

Experience in cloud-native development (AWS), with infrastructure and Dev Ops

principles.

Strong systems thinking, architectural decision-making, and technical judgment.

Deep understanding of software design principles, with a track record of building resilient, maintainable, and scalable systems.

Passion, curiosity, and a proactive mindset with a track record of inspiring teams through complex challenges.

Experience working in high-paced Agile, product-oriented environments, with a focus on continuous delivery and cross-functional communication and stakeholder management skills; able to influence across functions and seniority levels.

Additional info Product Owners and Team Dev Leads:
To prioritize backlog, align resources, and define architectural strategy for AI-powered products.

Chapter Leads and Engineering Peers:
To ensure consistency in technical approaches, exchange best practices, and promote cross-chapter Coaches and Scrum Masters:
To embed agile principles into day-to-day practices and strengthen ways of working across squads.

Your squad and

cross-functional teams:
Where you will act as both a leader and contributor, helping drive delivery and support collaboration between engineering, design, and product.

Boston Consulting Group is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, age, religion, sex, sexual orientation, gender identity / expression, national origin, disability, protected veteran status, or any other characteristic protected under national, provincial, or local law, where…

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