Global AI/ML Engineer Manager

Global AI/ML Engineer Manager

Full-Time 72000 - 88000 £ / year (est.) Home office (partial)
Boston Consulting Group (BCG)

At a Glance

  • Tasks: Lead AI-driven projects, mentor engineers, and drive innovation in software development.
  • Company: Join Boston Consulting Group, a leader in business strategy and transformation.
  • Benefits: Competitive salary, diverse teams, and opportunities for professional growth.
  • Other info: Dynamic environment with a focus on learning, experimentation, and career advancement.
  • Why this job: Make a real impact with cutting-edge AI technology and collaborative teams.
  • Qualifications: 10+ years in software engineering, strong Python skills, and experience with LLMs.

The predicted salary is between 72000 - 88000 £ per year.

Who We Are

Boston Consulting Group partners with leaders in business and society to tackle their most important challenges and capture their greatest opportunities.

BCG was the pioneer in business strategy when it was founded in 1963.

Today, we help clients with total transformation-inspiring complex change, enabling organizations to grow, building competitive advantage, and driving bottom-line impact.

To succeed, organizations must blend digital and human capabilities.

Our diverse, global teams bring deep industry and functional expertise and a range of perspectives to spark change.

BCG delivers solutions through leading-edge management consulting along with technology and design, corporate and digital ventures-and business purpose.

We work in a uniquely collaborative model across the firm and throughout all levels of the client organization, generating results that allow our clients to thrive.

What You'll Do

We are dedicated to building AI-driven solutions that redefine our products, 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 operations.

You 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 Gen AI 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 Fast API).
  • 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.
  • Gen AI & 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 Bring
  • 10+ years of hands-on software engineering experience with strong backend/API expertise using Python (Fast API or Flask).
  • 1+ years of hands-on experience with LLMs: building RAG solutions, agentic workflows, integrating LLMs (e. g., Open AI, 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 collaboration.
  • Excellent 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 collaboration.
  • Agile 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 applicable, and those with criminal histories will be considered in a manner consistent with applicable state and local laws.

BCG is an E - Verify Employer.

Click here for more information on E-Verify.

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Global AI/ML Engineer Manager employer: Boston Consulting Group (BCG)

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Boston Consulting Group (BCG)

Contact Details:

Boston Consulting Group (BCG) Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Global AI/ML Engineer Manager

Join Local Tech Meetups

Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at Boston Consulting Group (BCG) or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!

Contribute to Open Source Projects

Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to Boston Consulting Group (BCG).

Tap into Online Developer Communities

Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like Boston Consulting Group (BCG).

Explore Job Boards Specifically for Tech Roles

Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like Boston Consulting Group (BCG) that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!

We think you need these skills to ace Global AI/ML Engineer Manager

Leadership
Mentoring
Backend Development
Python
FastAPI
API Development
Cloud-Native Development

Some tips for your application 🫡

Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.

Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at Boston Consulting Group (BCG).

Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Boston Consulting Group (BCG) and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!

Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!

How to prepare for a job interview at Boston Consulting Group (BCG)

Brush Up on Your Coding Skills

For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.

Know Your Tools and Frameworks

Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If Boston Consulting Group (BCG) uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.

Showcase Your Projects

Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.

Prepare for Behavioural Questions

While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.