Full Stack Engineer (AI / ML)
Full Stack Engineer (AI / ML)

Full Stack Engineer (AI / ML)

Full-Time 43200 - 72000 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Build and maintain innovative AI/ML applications that make a difference.
  • Company: Join a cutting-edge tech company focused on transforming industries with AI.
  • Benefits: Enjoy flexible work hours, remote options, and a vibrant team culture.
  • Why this job: Be part of a mission-driven team that values creativity and impact in tech.
  • Qualifications: Looking for passionate individuals with coding skills and a love for AI/ML.
  • Other info: Opportunity to work on exciting projects and grow your tech skills.

The predicted salary is between 43200 - 72000 £ per year.

Full Stack Engineer (AI / ML) employer: LinkedIn

As a Full Stack Engineer specializing in AI and ML, you will thrive in an innovative environment that champions creativity and collaboration. Our company offers competitive benefits, a supportive work culture that prioritizes employee well-being, and ample opportunities for professional growth and development. Join us in our state-of-the-art facility, where your contributions will directly impact cutting-edge projects and help shape the future of technology.
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Contact Detail:

LinkedIn Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Full Stack Engineer (AI / ML)

✨Tip Number 1

Familiarize yourself with the latest AI and ML frameworks. Being well-versed in tools like TensorFlow or PyTorch can set you apart from other candidates.

✨Tip Number 2

Showcase your projects! If you've worked on any AI/ML applications, make sure to highlight them in your discussions. Real-world examples can demonstrate your skills effectively.

✨Tip Number 3

Network with professionals in the AI/ML field. Attend meetups or webinars to connect with others and learn about industry trends that could be beneficial for your interview.

✨Tip Number 4

Prepare to discuss your problem-solving approach. Be ready to explain how you tackle challenges in full stack development, especially when integrating AI/ML components.

We think you need these skills to ace Full Stack Engineer (AI / ML)

Proficiency in JavaScript, HTML, and CSS
Experience with front-end frameworks (e.g., React, Angular, Vue.js)
Strong knowledge of back-end technologies (e.g., Node.js, Python, Ruby)
Familiarity with AI/ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn)
Understanding of RESTful APIs and microservices architecture
Database management skills (e.g., SQL, NoSQL)
Version control systems (e.g., Git)
Problem-solving and debugging skills
Experience with cloud services (e.g., AWS, Azure, Google Cloud)
Knowledge of containerization (e.g., Docker, Kubernetes)
Strong communication and collaboration skills
Ability to work in an Agile development environment
Continuous integration and deployment (CI/CD) practices
Adaptability to new technologies and frameworks

Some tips for your application 🫡

Highlight Relevant Skills: Make sure to emphasize your experience with both front-end and back-end technologies, especially those related to AI and ML. Mention specific programming languages, frameworks, and tools you are proficient in.

Showcase Projects: Include examples of projects you've worked on that demonstrate your full stack capabilities, particularly in AI/ML. Describe your role in these projects and the technologies used.

Tailor Your Resume: Customize your resume to align with the job description. Use keywords from the job listing to ensure your application stands out to hiring managers and applicant tracking systems.

Craft a Compelling Cover Letter: Write a cover letter that not only summarizes your qualifications but also expresses your passion for AI and ML. Explain why you want to work for this company and how you can contribute to their goals.

How to prepare for a job interview at LinkedIn

✨Showcase Your Technical Skills

Be prepared to discuss your experience with both front-end and back-end technologies. Highlight specific projects where you've implemented AI or ML solutions, and be ready to explain the technical challenges you faced and how you overcame them.

✨Demonstrate Problem-Solving Abilities

Expect to tackle coding challenges or technical problems during the interview. Practice common algorithms and data structures, and think aloud as you work through the problem to showcase your thought process.

✨Understand the Company’s AI/ML Focus

Research the company's current projects and initiatives in AI and ML. Be ready to discuss how your skills align with their goals and how you can contribute to their success in these areas.

✨Prepare Questions for the Interviewers

Have insightful questions ready to ask your interviewers about the team dynamics, project methodologies, and future AI/ML developments within the company. This shows your genuine interest and helps you assess if the company is the right fit for you.

Full Stack Engineer (AI / ML)
LinkedIn
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  • Full Stack Engineer (AI / ML)

    Full-Time
    43200 - 72000 £ / year (est.)

    Application deadline: 2027-03-10

  • L

    LinkedIn

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