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- Tasks: Develop and maintain backend systems using Python and TypeScript, focusing on AI applications.
- Company: Join a leading American sports data analytics company making waves in the UK market.
- Benefits: Enjoy remote work flexibility, competitive salary up to £130k, and exciting corporate perks.
- Other info: This role offers significant career progression opportunities in a rapidly growing company.
- Why this job: Be part of a dynamic team driving innovation in sports analytics with a strong focus on AI.
- Qualifications: Advanced experience in Python and TypeScript is essential; passion for AI is a plus.
The predicted salary is between 78000 - 104000 £ per year.
Senior Software Engineer / Developer (Python TypeScript LLM) Remote UK to £130k
Are you a senior, backend focussed Software Engineer with advanced Python and TypeScript experience and a keen interest in AI?
You could be progressing your career in an impactful Senior Software Engineer role at a highly successful American sports data analytics company that is expanding its UK presence.
As a Senior Soft…
Senior Software Engineer Python TypeScript LLM employer: Client Server
Contact Detail:
Client Server Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Software Engineer Python TypeScript LLM
✨Tip Number 1
Familiarise yourself with the latest trends in AI and machine learning, especially as they relate to sports data analytics. This knowledge will not only help you stand out during interviews but also demonstrate your genuine interest in the field.
✨Tip Number 2
Engage with the Python and TypeScript communities online. Participate in forums, contribute to open-source projects, or attend relevant meetups. This networking can lead to valuable connections and insights that may benefit your application.
✨Tip Number 3
Prepare to discuss your previous projects in detail, particularly those involving backend development and AI. Be ready to explain your thought process, the challenges you faced, and how you overcame them, as this showcases your problem-solving skills.
✨Tip Number 4
Research the company’s culture and values. Tailor your conversations during interviews to reflect how your personal values align with theirs, which can significantly enhance your chances of making a positive impression.
We think you need these skills to ace Senior Software Engineer Python TypeScript LLM
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Python and TypeScript, as well as any relevant projects involving AI. Use specific examples to demonstrate your skills and achievements in backend development.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the role and the company. Mention why you are interested in sports data analytics and how your background aligns with their mission. Be sure to include your passion for AI and how it relates to your work.
Showcase Relevant Projects: If you have worked on projects that involve AI or data analytics, be sure to include them in your application. Describe your role, the technologies used, and the impact of the project. This will help demonstrate your hands-on experience.
Proofread Your Application: Before submitting, carefully proofread your CV and cover letter for any spelling or grammatical errors. A polished application reflects your attention to detail and professionalism, which is crucial for a senior role.
How to prepare for a job interview at Client Server
✨Showcase Your Technical Skills
Be prepared to discuss your experience with Python and TypeScript in detail. Bring examples of past projects where you've used these languages, especially in backend development or AI-related tasks.
✨Demonstrate Your Interest in AI
Since the role involves a keen interest in AI, make sure to highlight any relevant experience or projects you've worked on in this area. Discuss how you stay updated with AI trends and technologies.
✨Prepare for Problem-Solving Questions
Expect technical interviews that may include coding challenges or problem-solving scenarios. Practice common algorithms and data structures, and be ready to explain your thought process clearly.
✨Cultural Fit and Team Collaboration
Research the company's culture and values. Be ready to discuss how you work within a team, handle feedback, and contribute to a positive work environment, as collaboration is key in remote settings.