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- Tasks: Join our remote-first team to design and implement machine learning solutions.
- Company: Edelman is a trusted voice, committed to diversity, equity, and inclusion.
- Benefits: Enjoy a collaborative environment with opportunities for meaningful work and growth.
- Why this job: Shape the future of AI-driven PR insights in a supportive, innovative culture.
- Qualifications: 2+ years in data science/machine learning; Python proficiency required.
- Other info: We encourage diverse applicants; your unique experience may be just what we need.
The predicted salary is between 28800 - 48000 £ per year.
Edelman is a voice synonymous with trust, reimagining a future where the currency of communication is action. Our culture thrives on three promises: boldness is possibility, empathy is progress, and curiosity is momentum.
At Edelman, we understand diversity, equity, inclusion and belonging (DEIB) transform our colleagues, our company, our clients, and our communities. We are in relentless pursuit of an equitable and inspiring workplace that is respectful of all, reflects and represents the world in which we live, and fosters trust, collaboration and belonging.
We are seeking a talented and experienced machine learning engineer to join our dynamic, remote-first team at Edelman. You will be a core contributor to designing, experimenting, and implementing machine learning and GenAI solutions as part of our global product development group. This team focuses on creating AI-driven solutions that deliver actionable PR insights for our clients.
Why You’ll Love Working with Us
At Edelman, we believe in a collaborative and open environment where every team member’s voice is valued. Data and AI are central to Edelman’s future, and you will be part of the team that is shaping it. You’ll thrive here if you’re passionate about creating meaningful, high-quality work in a supportive and forward-thinking environment.
Responsibilities:
- Develop and deploy data science solutions across a wide range of domains and approaches.
- Collaborate closely with other ML engineers, MLOps engineers, front/back-end engineers, data engineers, and product managers to deliver high-quality solutions that align with business requirements.
- Document your work thoroughly to support future development and maintenance efforts.
Technical Requirements:
- 2+ years of data science and/or machine learning experience.
- Experience developing production ready machine learning models for structured and unstructured data including LLMs, time series, or tabular models.
- Experience performing exploratory data analysis and communicating insights with non-technical teammates.
- Proficiency with Python.
Additional Technical Requirements:
- Experience working with media metrics, behaviors, and tools for both organic and paid.
- Experience with ML and DevOps tools such as MLFlow and Git.
- Experience with cloud services and platforms such as Databricks.
- Experience with OpenAI’s custom GPT’s and model endpoints.
Non-Technical Requirements:
- Excellent communication skills in English, with the ability to work effectively across teams.
- Ability to work semi-autonomously on complex tasks.
- Experience working in a Scrum or Agile environment.
We are dedicated to building a diverse, inclusive, and authentic workplace, so if you’re excited about this role but your experience doesn’t perfectly align with every qualification, we encourage you to apply anyway. You may be just the right candidate for this or other roles.
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Machine Learning Engineer employer: Edelman
Contact Detail:
Edelman Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Machine Learning Engineer
✨Tip Number 1
Familiarize yourself with the latest trends in machine learning and AI, especially those relevant to public relations. This will not only help you understand the industry better but also allow you to speak confidently about how your skills can contribute to Edelman's mission.
✨Tip Number 2
Engage with the community by participating in forums or attending meetups focused on machine learning and data science. Networking with professionals in the field can provide valuable insights and potentially lead to referrals.
✨Tip Number 3
Showcase your collaborative skills by highlighting any past experiences where you worked closely with cross-functional teams. At Edelman, teamwork is key, so demonstrating your ability to communicate and collaborate effectively will set you apart.
✨Tip Number 4
Prepare to discuss specific projects where you've developed and deployed machine learning models. Be ready to explain your thought process, the challenges you faced, and how you overcame them, as this aligns with the hands-on approach valued at Edelman.
We think you need these skills to ace Machine Learning Engineer
Some tips for your application 🫡
Understand the Company Culture: Familiarize yourself with Edelman's values and culture, especially their focus on diversity, equity, inclusion, and belonging. Reflect this understanding in your application to show that you align with their mission.
Highlight Relevant Experience: Emphasize your experience in machine learning and data science, particularly any work with production-ready models, exploratory data analysis, and collaboration with cross-functional teams. Use specific examples to demonstrate your skills.
Showcase Communication Skills: Since excellent communication is a key requirement, make sure to illustrate your ability to convey complex technical concepts to non-technical teammates. This can be done through examples in your CV or cover letter.
Tailor Your Application: Customize your CV and cover letter to reflect the specific responsibilities and technical requirements mentioned in the job description. Mention your proficiency with Python and any relevant tools like MLFlow, Git, or cloud services.
How to prepare for a job interview at Edelman
✨Show Your Passion for AI and Data
Make sure to express your enthusiasm for machine learning and data science during the interview. Share specific projects or experiences that highlight your passion and how they align with Edelman's focus on AI-driven solutions.
✨Demonstrate Collaboration Skills
Since collaboration is key at Edelman, be prepared to discuss how you've worked with cross-functional teams in the past. Provide examples of how you communicated complex technical concepts to non-technical teammates.
✨Prepare for Technical Questions
Brush up on your technical skills, especially in Python and machine learning model development. Be ready to discuss your experience with production-ready models and any relevant tools like MLFlow or Databricks.
✨Emphasize Your Adaptability
Edelman values a supportive and forward-thinking environment. Share examples of how you've adapted to new challenges or worked semi-autonomously on complex tasks, especially in Agile or Scrum settings.
