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For Companies At a Glance
- Tasks: Innovate and build machine learning solutions while collaborating with a diverse team.
- Company: Artefact is a fast-growing data service provider transforming data into impactful business solutions.
- Benefits: Enjoy a dynamic work culture, opportunities for continuous learning, and a chance to shape the future of marketing.
- Why this job: Join a passionate team of entrepreneurs and tackle exciting challenges every day.
- Qualifications: Degree in Computer Science or related field; strong Python skills and experience with ML models required.
- Other info: Be part of a collaborative environment that values knowledge sharing and team happiness.
The predicted salary is between 48000 - 84000 £ per year.
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.
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!
Senior Machine Learning Engineer employer: Artefact
Contact Detail:
Artefact Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Machine Learning Engineer
✨Tip Number 1
Familiarize yourself with Artefact's unique approach to data-driven solutions. Understanding their business-centric mindset will help you align your skills and experiences with their goals during the interview process.
✨Tip Number 2
Showcase your collaborative spirit! Since the role emphasizes teamwork, be prepared to discuss past experiences where you successfully worked in a team setting, especially in cross-functional environments.
✨Tip Number 3
Highlight your continuous learning mindset. Artefact values staying updated with the latest advancements, so be ready to share how you keep your skills sharp and what recent technologies or methodologies you've explored.
✨Tip Number 4
Prepare to discuss your experience with cloud platforms and MLOps practices. Given the emphasis on deploying machine learning models in production, having concrete examples of your work in this area will set you apart.
We think you need these skills to ace Senior Machine Learning Engineer
Some tips for your application 🫡
Understand the Company: Dive deep into Artefact's mission and values. Familiarize yourself with their data-driven approach and how they leverage AI to create business impact. This will help you tailor your application to align with their goals.
Highlight Relevant Experience: Make sure to showcase your experience in machine learning, software development, and cloud computing. Provide specific examples of projects where you've designed, developed, and deployed ML models, especially in production environments.
Showcase Teamwork Skills: Since collaboration is key at Artefact, emphasize your ability to work in teams. Mention any experiences where you've mentored others or contributed to team knowledge sharing, as this aligns with their culture.
Tailor Your CV and Cover Letter: Customize your CV and cover letter to reflect the skills and experiences that match the job description. Use keywords from the job listing, such as 'MLOps', 'cloud platforms', and 'agile methodologies' to make your application stand out.
How to prepare for a job interview at Artefact
✨Showcase Your Technical Skills
Be prepared to discuss your experience with Python, machine learning models, and cloud platforms. Highlight specific projects where you've successfully deployed models and the tools you used, such as Docker or Kubernetes.
✨Demonstrate Team Collaboration
Artefact values teamwork, so share examples of how you've worked collaboratively in past roles. Discuss how you've mentored others or contributed to team knowledge sharing, emphasizing your ability to build strong relationships.
✨Emphasize Problem-Solving Abilities
Prepare to talk about complex technical problems you've solved in innovative ways. Use specific examples that showcase your analytical skills and creativity in finding solutions, especially in a data-driven context.
✨Express Your Passion for Continuous Learning
Artefact seeks individuals who are committed to staying updated with the latest advancements in machine learning. Share how you keep your skills sharp and any recent technologies or methodologies you've explored.
