Senior Machine Learning Engineer

Artefact; London; On-site; GBP 60,000 - 100,000; Full time

Job description

Senior Machine Learning Engineer

Who We Are

Artefact is a new generation of a data service provider, specialising in data consulting and data-driven digital marketing, dedicated to transforming data into business impact across the entire value chain of organisations. We are proud to say we're enjoying skyrocketing growth.

Our broad range of data-driven solutions in data consulting and digital marketing are designed to meet our clients' specific needs, always conceived with a business-centric approach and delivered with tangible results. Our data-driven services are built upon the deep AI expertise we've acquired with our 1000+ client base around the globe.

We have 1800 employees across 23 offices who are focused on accelerating digital transformation. Thanks to a unique mix of company assets: State of the art data technologies, lean AI agile methodologies for fast delivery, and cohesive teams of the finest business consultants, data analysts, data scientists, data engineers, and digital experts, all dedicated to bringing extra value to every client.

Role Profile

A Machine Learning Engineer at Artefact will innovate, build, train and communicate with a team made up of consultants, data scientists, creatives and engineers to identify client needs and define innovative solutions. You will work in a collaborative team which champions knowledge sharing.

Your motivation should stem from a desire to learn, a natural curiosity to solve complex problems, and an entrepreneurial mindset. These qualities will help you excel at Artefact and become a valuable member of our rapidly growing team.

You will coach others, keep abreast of industry news/updates and share your discoveries with others.

Key responsibilities:

• Be responsible for delivering optimal technical solutions across a range of projects
• Caring for the happiness of the team, ensuring work is delivered to a high standard and providing feedback and mentoring
• Working closely with your Consulting counterpart to build and maintain strong relationships with your clients and best understand their needs
• Having a contributor role in raising the level of competencies of the data science team
• Sharing best practices and contributing to Artefact's institutional knowledge
• Embodying Artefact's values and inspiring others to do the same

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!