Machine Learning Engineering Manager

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

Artefact

Global consulting company in data and AI transformation. From strategy to deployment: AI solutions per sector, data platforms, data governance, advanced data analytics, data marketing, CX and digital media services.

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

Who we are

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.

Role Overview

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 scientist 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.

Key responsibilities

  • 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.

Qualifications: Education & experience required

Essential skills:

  • Education
    • Degree in Computer Science, Engineering, Mathematics, Statistics, or a related field.
  • Software development
    • 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.
  • Machine learning and data science
    • Proven experience designing, developing, and deploying machine learning models.
    • Experience with debugging ML models.
    • Experience with orchestration frameworks (e.g. Airflow, MLFlow, etc)
  • Deployment and Production
    • 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.
    • Comfortable with cloud-based CI/CD pipelines.
  • Cloud Computing
    • Hands-on experience with cloud platforms such as AWS, Google Cloud Platform, or Microsoft Azure.
    • Ability to leverage cloud-based ML services and infrastructure.
  • Teamwork and problem-solving
    • Provide coding and engineering support to data scientists
    • Demonstrated ability to identify, analyse, and solve complex technical problems in innovative ways.
  • Continuous Learning
    • Commitment to staying updated with the latest advancements in machine learning and related technologies.

 

Desirable technical skills:

  • Experience with probabilistic programming, implementing causal frameworks
  • Using Kubernetes, Docker, Terraform, Airflow, and REST APIs/Web Services
  • Professional experience in a consumer marketing context

Why Join Us:

  • 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!

What we are looking for:

  • 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.
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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Tags: Agile Airflow APIs AWS Azure CI/CD Computer Science Consulting Docker Engineering GCP Google Cloud Kubernetes Machine Learning Mathematics MLFlow ML models MLOps Model design NoSQL Pipelines Prototyping Python SQL Statistics Terraform

Perks/benefits: Career development Startup environment

Region: Europe
Country: United Kingdom

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