Head of Machine Learning Engineering

London, England, United Kingdom · Machine Learning Engineering


Who we are

QuantumBlack teams work in multi-disciplinary environments harnessing data to provide real-world impact. We bring together the brightest data scientists, engineers and designers to take on the biggest problems facing the world’s most influential organisations. Our projects range from helping pharmaceutical companies bring lifesaving drugs to market quicker to optimising a Formula1 car’s performance. At QuantumBlack you have the best of both worlds; all the benefits of being part of one of the leading management consultancies globally and the autonomy to thrive in a fast growth tech culture.

What we do

We guide global companies through data science solutions to transform their businesses and enhance performance across industries including healthcare, automotive, energy and elite sport.

Who you are

You have a background in software engineering, data science and likely mathematics. You enjoy building, guiding and coaching teams of engineers, with recent experience in productionising machine learning models at scale. You encourage a strong DevOps culture and you have an ability to think strategically around how software engineering, machine learning and the latest Cloud technologies can be fused to create scalable solutions. You are an effective communicator and influencer – a passionate advocate for the importance and value of good MLE practices.

A core value at QuantumBlack is fusion and at the heart of our multi-disciplinary teams is the belief that the sum of individual parts will always be less than the impact of the entire team. You are a highly collaborative individual who is capable of laying aside your own agenda, listening to and learning from colleagues, challenging thoughtfully and prioritising impact. You search for ways to improve things and work collaboratively with colleagues. You believe in iterative change, experimenting with new approaches, learning and improving to move forward quickly. Trust between colleagues is paramount here – you are an individual who can always be trusted to work in the best interests of all colleagues and to achieve the best outcome for QuantumBlack and our clients. You are naturally enthusiastic and enjoy sharing your passion with others.

Who You’ll work with:

You will have the opportunity to work on complex problems with our clients across a number of domains. At QB you will work as part of a highly collaborative and cross-functional team of Machine Learning Engineers, Data Scientists, Data Architects, Software Engineers and Designers.

What you’ll learn:

As the most senior member of the Machine Learning Engineer team, you will set the standards for software engineering practices within the MLE and Data Science teams. We are passionate about life-long learning and professional development for all colleagues. You will:

The role:

As Head of Machine Learning for QuantumBlack, you will you will be responsible for leading a best in class Machine Learning Engineer team on advanced analytics engagements. You will define QuantumBlack's Machine Learning Engineer standards and ways of working, making sensible trade-offs between value and cost of delivery. You will champion strong code development processes across the team and company, and coach and development a talented team of Machine Learning Engineers. You will take the latest research in Data science and create practical products and solutions (Libraries, Tools etc.) to be used on client projects and internally.



Interview process

1. Recruiter screen

2. First round interviews (experience, expertise and cultural fit)

3. Second round presentation and discussion (leadership and technical knowledge)

4. Final round interviews (experience, expertise and cultural fit)

As an equal opportunity employer, QuantumBlack encourages applications from all backgrounds regardless of gender, race, disability, pregnancy, marital status, age, sexual orientation, gender reassignment, religion or belief. We maintain a sense of community rooted in respect and consideration for all employees where any evaluation is based simply upon individual work and team performance.

Watch our Careers Video


Apply for this job