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- Tasks: Lead the machine learning team from model development to deployment.
- Company: Join a fast-growing scale-up in central London focused on innovation.
- Benefits: Enjoy a hybrid work environment with opportunities for personal growth.
- Why this job: Shape the company's future while working on exciting greenfield projects.
- Qualifications: 3+ years in senior roles, strong Python skills, and start-up experience required.
- Other info: Collaborate with diverse teams and engage in strategic decision-making.
The predicted salary is between 84000 - 196000 £ per year.
Position: Head of Machine LearningLocation: London (Hybrid)Company Type: Scale-UpSalary: Up to £140kAbout the Company:Our client is an innovative, fast-growing company, with a strong focus on research and development. They are dedicated to fostering a collaborative and supportive environment where team members can grow and thrive. Based in central London with excellent transport links, the company offers a dynamic workplace where creativity and innovation are encouraged. They provide ample opportunities for employees to engage in greenfield projects and explore new solutions.The Role:This is a strategic, senior role within the organisation. Your team will be responsible for overseeing the entire pipeline for machine learning model development and deployment, managing cross-functional teams, and collaborating with various stakeholders across the business. You will also play a key role in shaping the direction of the company, providing valuable input into important decisions.Key Responsibilities:Oversee and guide the machine learning team through the full lifecycle of model development, from conception to deployment.Collaborate closely with senior management to help define and execute the company’s strategic objectives.Build and maintain strong relationships with internal and external stakeholders, ensuring alignment with business goals.Offer mentorship and guidance to the team, promoting innovation and personal development.Contribute to the growth of the organisation through thoughtful decision-making and strategic input.Required Skills and Experience:A minimum of 3 years of experience in senior or management roles.Experience working in start-ups or scale-ups, with the ability to navigate fast-paced and changing environments.A solid background in engineering or data engineering, with proficiency in Python and relevant libraries.Kubernetes and Dagster exposureFamiliarity with cloud-based platforms such as DataBricks.Excellent communication and stakeholder management skills.Why Join?Work in an environment that values growth, innovation, and creativity.Collaborate with a diverse and talented team focused on pushing boundaries.Access to continuous learning and personal development opportunities.If this looks like your next role, click the apply button below.
[23/01/2025] Head of Machine Learning employer: KDR Talent Solutions
Contact Detail:
KDR Talent Solutions Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land [23/01/2025] Head of Machine Learning
✨Tip Number 1
Make sure to showcase your experience in leading machine learning projects, especially in fast-paced environments like start-ups or scale-ups. Highlight specific examples where you've successfully guided a team through the full lifecycle of model development.
✨Tip Number 2
Emphasize your ability to collaborate with senior management and other stakeholders. Prepare to discuss how you've previously aligned technical projects with business goals and contributed to strategic decision-making.
✨Tip Number 3
Familiarize yourself with the latest trends and technologies in machine learning, particularly those relevant to the role such as Kubernetes, Dagster, and cloud platforms like DataBricks. Being knowledgeable about these tools will set you apart.
✨Tip Number 4
Prepare to discuss your mentorship style and how you promote innovation within your team. Share examples of how you've supported team members' growth and fostered a collaborative environment in previous roles.
We think you need these skills to ace [23/01/2025] Head of Machine Learning
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in machine learning, team management, and strategic decision-making. Emphasize your background in engineering or data engineering, particularly with Python and cloud-based platforms.
Craft a Compelling Cover Letter: In your cover letter, express your passion for innovation and collaboration. Discuss how your previous experiences align with the company's focus on research and development, and mention specific projects that demonstrate your leadership in machine learning.
Showcase Your Leadership Skills: Provide examples of how you've successfully managed cross-functional teams and contributed to strategic objectives in past roles. Highlight your ability to mentor and guide team members, fostering an environment of growth and creativity.
Prepare for Interviews: Anticipate questions about your experience in fast-paced environments and your approach to overseeing machine learning projects. Be ready to discuss your technical skills, particularly in Kubernetes and Dagster, and how they can benefit the company.
How to prepare for a job interview at KDR Talent Solutions
✨Showcase Your Leadership Experience
As a Head of Machine Learning, you'll need to demonstrate your ability to lead and mentor teams. Prepare specific examples from your past roles where you successfully guided a team through the model development lifecycle or managed cross-functional projects.
✨Highlight Your Technical Skills
Make sure to discuss your proficiency in Python and relevant libraries, as well as your experience with Kubernetes and cloud-based platforms like DataBricks. Be ready to explain how you've applied these skills in previous projects.
✨Emphasize Strategic Thinking
This role requires a strategic mindset. Be prepared to discuss how you've contributed to shaping the direction of previous organizations and how you can align machine learning initiatives with business goals.
✨Prepare for Stakeholder Management Questions
Strong communication and stakeholder management skills are crucial. Think of examples where you've built relationships with internal and external stakeholders, and be ready to discuss how you ensured alignment with business objectives.
