At a Glance
- Tasks: Lead the creation of innovative generative AI solutions in software development.
- Company: Join a forward-thinking tech company focused on AI and data engineering.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Dynamic work environment with a focus on collaboration and cutting-edge technology.
- Why this job: Make a real impact by driving AI innovation and mentoring a talented team.
- Qualifications: 5+ years in data engineering and AI, with strong Python skills.
The predicted salary is between 36000 - 60000 £ per year.
Lead the creation of a POC for using generative AI in software development, demonstrating its potential to improve efficiency, quality, and innovation.
Collaborate with software development teams to integrate generative AI solutions into existing workflows.
Lead and mentor a team of data engineers, providing technical guidance and fostering a collaborative team environment.
Design, develop, and implement generative AI applications using Python.
Work closely with stakeholders to understand business requirements and translate them into technical solutions.
Drive the development and execution of data engineering strategies to support business objectives.
Develop and maintain scalable data pipelines, API and model deployments, and workflows.
Communicate complex analytical findings and insights to non-technical stakeholders in a clear and concise manner.
Stay current with industry trends, best practices, and emerging technologies in data analytics, generative AI, and Python programming.
Qualifications:
- Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, Mathematics, or a related field.
- 5+ years of experience in data engineering and AI, with at least 2 years in a leadership or supervisory role.
- Proficiency in Python programming and its libraries (e.g. pandas, numpy, scikit-learn, matplotlib, seaborn).
- Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and their data analytics and AI services.
- Strong understanding of statistical analysis, machine learning, and data mining techniques.
- Experience with generative AI models (e.g., GPT, GANs) and their applications in software development.
- Experience with big data technologies (e.g., Hadoop, Spark) and data visualization tools (e.g., Tableau, Power BI) is a plus.
- Solid experience with SQL and database management.
- Excellent problem-solving skills and the ability to work independently and as part of a team.
- Strong communication and interpersonal skills, with the ability to effectively convey technical concepts to non-technical stakeholders.
Preferred Qualifications:
- Knowledge of data governance and data privacy regulations.
Tech Lead (Gen AI) - UK employer: Photon
As a leading innovator in the tech industry, we offer an exceptional work environment that fosters creativity and collaboration. Our London office is not only a hub for cutting-edge technology but also provides ample opportunities for professional growth and development, ensuring that our employees are at the forefront of advancements in generative AI. With a strong emphasis on mentorship and teamwork, we empower our Tech Leads to drive impactful projects while enjoying a supportive and dynamic workplace culture.
StudySmarter Expert Advice🤫
We think this is how you could land Tech Lead (Gen AI) - UK
✨Tip Number 1
Network like a pro! Reach out to your connections in the tech industry, especially those who are already working with generative AI. A friendly chat can lead to insider info about job openings or even referrals.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects related to generative AI and data engineering. This is your chance to demonstrate your expertise in Python and cloud platforms, making you stand out to potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on your communication skills. Practice explaining complex technical concepts in simple terms, as you'll need to convey your ideas clearly to non-technical stakeholders.
✨Tip Number 4
Don't forget to apply through our website! We love seeing passionate candidates who are eager to join our team. Make sure to tailor your application to highlight your leadership experience and knowledge of generative AI.
We think you need these skills to ace Tech Lead (Gen AI) - UK
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that match the Tech Lead role. Highlight your experience with generative AI, Python, and any leadership roles you've held. We want to see how you can lead and innovate!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about generative AI and how you can contribute to our team. Be sure to mention specific projects or achievements that demonstrate your expertise.
Showcase Your Technical Skills:In your application, don't forget to mention your proficiency in Python and any relevant libraries. If you've worked with cloud platforms or big data technologies, let us know! We love seeing practical examples of your work.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re keen on joining our team at StudySmarter!
How to prepare for a job interview at Photon
✨Know Your Generative AI Inside Out
Make sure you brush up on the latest trends and applications of generative AI, especially in software development. Be ready to discuss specific models like GPT or GANs and how they can enhance efficiency and innovation in projects.
✨Showcase Your Leadership Skills
As a Tech Lead, your ability to mentor and guide a team is crucial. Prepare examples of how you've successfully led teams in the past, focusing on collaboration and technical guidance. Highlight any strategies you've used to foster a positive team environment.
✨Communicate Clearly with Non-Technical Stakeholders
Practice explaining complex technical concepts in simple terms. You might be asked to present findings to stakeholders who aren't tech-savvy, so being able to convey your insights clearly will set you apart.
✨Demonstrate Your Problem-Solving Skills
Be prepared to tackle hypothetical scenarios or case studies during the interview. Think through your problem-solving process and be ready to share how you've approached challenges in data engineering and AI in previous roles.
