Machine Learning Engineering Manager

1st Floor The Rex Building, 62-64 Queen Street, London, England, EC4R 1EB

Location: London, UK (Hybrid)
Type: Full-Time

Artefact is a new generation of data service provider, specialising in data-driven consulting and data-driven digital marketing. We are dedicated to transforming data into business impact across the entire value chain of organisations. With skyrocketing growth, Artefact has established a global presence with over 1,500 employees across 23 offices worldwide.

Our data-driven solutions are designed to meet the specific needs of our clients, leveraging our deep AI expertise and innovative methodologies. Our cohesive teams of data scientists, engineers, and consultants are focused on accelerating digital transformation, ensuring tangible results for every client.

We are looking for a Machine Learning Manager to support a team of data scientists and ensure the successful delivery of our projects. The ideal candidate will be willing to be hands-on with projects, meaning involvement in model design, coding, and developing end-to-end data solutions, including data preprocessing, visualization, and deploying models into production environments.

One of the key components of the role is to supervise junior and senior data scientists on code and delivery. Therefore, we ask all applicants to submit an example of code (a repository, a pull request, or something similar) to have an estimate of the hands-on coding ability.

This role is crucial in

• Driving project success by providing clear direction, solving complex, industry-driven problems, and ensuring high-quality results.
• Leading technical project delivery through hands-on prototyping, design, and coding.
• Leading and upskilling a team of data scientists.

• Lead and deliver impactful data transformation projects for clients.
• Build strong client relationships, leveraging your technical expertise to drive operational transformation.
• Participate in international projects with opportunities for business travel.
• Ensure successful project delivery and communicate these successes across the company.
• Foster continuous learning and growth within the data science team.
• Provide mentorship, ensuring high work standards and supporting team well-being.
• Demonstrate technical leadership and contribute to institutional knowledge.
• Embody Artefact's values and inspire others to do the same.

Essential skills:

• Degree in Computer Science, Engineering, Mathematics, Statistics, or a related field.
• Strong programming skills in Python.
• Experience working with large-scale datasets and database systems (SQL and NoSQL).
• Understanding of software development lifecycle and agile methodologies.
• Proven experience designing, developing, and deploying machine learning models.
• Experience with debugging ML models.
• Experience with orchestration frameworks (e.g. Airflow, MLFlow, etc).
• Experience deploying machine learning models to production environments.
• Knowledge of MLOps practices and tools for model monitoring and maintenance.
• Familiarity with containerization and orchestration tools like Docker and Kubernetes.
• Hands-on experience with cloud platforms such as AWS, Google Cloud Platform, or Microsoft Azure.
• Demonstrated ability to identify, analyse, and solve complex technical problems in innovative ways.
• Commitment to staying updated with the latest advancements in machine learning and related technologies.
• Professional experience in a consumer marketing context.

• Artefact is the place to be: come and build the future of marketing.
• Progress: every day offers new challenges and new opportunities to learn.
• Culture: join the best team you could ever imagine.
• Entrepreneurship: you will be joining a team of driven entrepreneurs. We won't give up until we make a huge dent in this industry!

• A Doer: You get things done and inspire your team to do the same.
• An Analyst: You love data and believe every decision should be driven by it.
• A Pragmatist: You have a hacker mindset and always find quick wins.
• A Mentor: Your clients and teams naturally seek your advice.
• An Adventurer: You're an entrepreneur constantly looking for problems to solve.