At a Glance
- Tasks: Lead the development of innovative software platforms using Python and Django.
- Company: Join a forward-thinking company focused on data-driven solutions.
- Benefits: Competitive salary, inclusive culture, and opportunities for professional growth.
- Other info: Supportive environment with a focus on diversity and inclusion.
- Why this job: Make a real impact by embedding data science in products and processes.
- Qualifications: Strong Python and Django skills, with experience in cloud services.
The predicted salary is between 70000 - 90000 € per year.
We are looking for a Lead Platform Engineer to join our Group Data Science function, to lead and trailblaze the development and building of software platforms. Working across our retail banners and group functions, you will build platform roadmaps that will minimise time to value, maximise long term effectiveness and ultimately help us achieve our commercial goals.
Responsibilities:
- Collaborate with Tech, Product and Data teams to develop engineering platforms that allow us to apply and embed the use of data science directly in our products and processes.
- Support diverse teams in translating between business and data in the design of project work, and in the synthesis and communication of recommendations and results.
- Support the Data Science Leadership Team in developing a data culture and demonstrating the value of data in our decision-making.
- Provide technical leadership and support for junior members of the team.
Requirements:
- Excellent knowledge and experience in Django and Python backend.
- Excellent understanding of computer science fundamentals and machine learning.
- Proven experience delivering several high-quality software products and experience of productionisation.
- Proven experience developing cloud-based services using one or more cloud providers (preferably GCP).
- Strong management and leadership skills - including the ability to build, organise, motivate, mentor and manage a Platform Engineering team that supports a diverse range of initiatives.
- Sensitivity and excellent influencing skills - ability to work with stakeholders across a variety of functions and levels of seniority.
Diversity & Inclusion: Our customers come from all walks of life - and so do we. We're committed to ensuring all colleagues, future colleagues, and applicants are treated equally, regardless of age, gender, marital or civil partnership status, ethnicity, culture, religion, belief, political opinion, disability, gender identity, gender expression, or sexual orientation.
Lead ML Platform Engineer in London employer: hackajob
As a Lead ML Platform Engineer, you will thrive in a dynamic and inclusive work environment that champions innovation and collaboration. Our commitment to employee growth is evident through mentorship opportunities and a culture that values diverse perspectives, ensuring that your contributions directly impact our commercial success. Located at the heart of our retail operations, you'll be part of a forward-thinking team dedicated to harnessing data science to drive meaningful change.
StudySmarter Expert Advice🤫
We think this is how you could land Lead ML Platform Engineer in London
✨Tip Number 1
Network like a pro! Reach out to folks in your industry on LinkedIn or at meetups. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repo showcasing your projects, especially those using Django and Python. This gives potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by practising common technical questions and scenarios related to platform engineering. We recommend doing mock interviews with friends or using online platforms.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive!
We think you need these skills to ace Lead ML Platform Engineer in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV speaks directly to the job description. Highlight your experience with Django, Python, and cloud services like GCP. We want to see how your skills align with our needs!
Showcase Your Leadership Skills:As a Lead Platform Engineer, you'll be guiding a team. Share examples of how you've motivated and mentored others in your previous roles. We love seeing how you can inspire those around you!
Be Clear and Concise:When writing your application, keep it straightforward. Use bullet points for key achievements and avoid jargon. We appreciate clarity and want to understand your journey without any fluff!
Apply Through Our Website:We encourage you to submit your application through our website. It’s the best way for us to receive your details and ensures you’re considered for the role. Let’s get started on this journey together!
How to prepare for a job interview at hackajob
✨Know Your Tech Inside Out
Make sure you brush up on your Django and Python skills before the interview. Be ready to discuss your past projects and how you've used these technologies to deliver high-quality software products. They’ll want to see that you can not only code but also understand the underlying principles of computer science and machine learning.
✨Showcase Your Leadership Skills
As a Lead Platform Engineer, you'll need to demonstrate your ability to lead and mentor a team. Prepare examples of how you've motivated and organised teams in the past, and be ready to discuss how you can support junior members while driving projects forward.
✨Communicate Effectively with Stakeholders
You’ll be working with diverse teams, so practice explaining complex technical concepts in simple terms. Think about how you can bridge the gap between business needs and data solutions, and prepare to share examples of how you've successfully influenced stakeholders in previous roles.
✨Emphasise Your Cloud Experience
Since they’re looking for someone with experience in cloud-based services, make sure you highlight any relevant work you've done with GCP or other cloud providers. Be prepared to discuss how you've implemented cloud solutions and the impact they had on project outcomes.
