GenAI Engineer / ML Engineer
GenAI Engineer / ML Engineer

GenAI Engineer / ML Engineer

Temporary 30000 - 42000 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Join us as a GenAI Engineer to enhance our Generative AI platform using Langchain and Python.
  • Company: We're a tech-first company leading the way in innovative AI solutions.
  • Benefits: Enjoy remote work flexibility and potential contract extension after 6 months.
  • Why this job: Be part of a cutting-edge project that shapes the future of technology and AI.
  • Qualifications: Entry-level position; familiarity with AWS cloud services is a plus.
  • Other info: We celebrate diversity and encourage applications from all backgrounds.

The predicted salary is between 30000 - 42000 £ per year.

This is a fantastic opportunity for a GenAI Engineer / ML Engineer to support a technology 1st business with the next phase of their Generative AI platform.

Location: Remote

This is a 6 months contract engagement, outside IR35, remote working + scope to extend.

Responsibilities:

  • Langchain
  • Python
  • Ideally AWS cloud services

Seniority level: Entry level

Employment type: Full-time

Job function: Information Technology

Industries: Technology, Information and Internet

We are an equal opportunities employer and welcome applications from all suitably qualified persons regardless of their race, sex, disability, religion/belief, sexual orientation or age.

GenAI Engineer / ML Engineer employer: Fruition Group

As a forward-thinking technology company, we pride ourselves on fostering an inclusive and dynamic work culture that empowers our employees to thrive. With remote working flexibility and a commitment to professional development, we offer GenAI Engineers and ML Engineers the chance to contribute to cutting-edge projects while enjoying a supportive environment that values innovation and collaboration.
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Contact Detail:

Fruition Group Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land GenAI Engineer / ML Engineer

✨Tip Number 1

Familiarise yourself with Langchain and Python, as these are key technologies for the role. Consider building a small project or contributing to an open-source project that showcases your skills in these areas.

✨Tip Number 2

Gain a solid understanding of AWS cloud services, as they are essential for this position. You could take advantage of free online resources or tutorials to get hands-on experience with AWS.

✨Tip Number 3

Network with professionals in the Generative AI and ML fields. Join relevant online communities or forums where you can ask questions, share knowledge, and potentially connect with someone from our team.

✨Tip Number 4

Stay updated on the latest trends and advancements in Generative AI. Follow industry leaders on social media and read articles or research papers to demonstrate your passion and knowledge during interviews.

We think you need these skills to ace GenAI Engineer / ML Engineer

Proficiency in Python
Experience with Langchain
Familiarity with AWS cloud services
Understanding of Generative AI concepts
Machine Learning algorithms knowledge
Data preprocessing and cleaning skills
Model evaluation and tuning
Version control systems (e.g., Git)
Collaboration and teamwork skills
Problem-solving abilities
Strong communication skills
Adaptability to new technologies
Basic understanding of software development lifecycle

Some tips for your application 🫡

Tailor Your CV: Make sure your CV highlights relevant experience in Generative AI and Machine Learning. Emphasise any projects or roles where you've used Langchain, Python, or AWS cloud services.

Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for technology and your understanding of the company's goals. Mention specific skills that align with the job description, such as your experience with Generative AI platforms.

Showcase Relevant Projects: If you have worked on any projects related to Generative AI or Machine Learning, include them in your application. Briefly describe your role, the technologies used, and the outcomes achieved.

Proofread Your Application: Before submitting, carefully proofread your application for any spelling or grammatical errors. A polished application reflects your attention to detail and professionalism.

How to prepare for a job interview at Fruition Group

✨Brush Up on Langchain and Python

Make sure you have a solid understanding of Langchain and Python, as these are crucial for the role. Be prepared to discuss your experience with these technologies and how you've used them in past projects.

✨Familiarise Yourself with AWS Cloud Services

Since the position involves AWS cloud services, take some time to review the basics and any relevant services that might be applicable to Generative AI. Being able to speak confidently about your knowledge of AWS will impress the interviewers.

✨Showcase Your Problem-Solving Skills

As an ML Engineer, you'll likely face complex challenges. Prepare to discuss specific examples where you've successfully solved problems using machine learning techniques. This will demonstrate your analytical thinking and technical prowess.

✨Prepare Questions About the Company and Role

Interviews are a two-way street. Prepare thoughtful questions about the company's Generative AI platform and the team you'll be working with. This shows your genuine interest in the role and helps you assess if it's the right fit for you.

GenAI Engineer / ML Engineer
Fruition Group
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  • GenAI Engineer / ML Engineer

    Temporary
    30000 - 42000 £ / year (est.)

    Application deadline: 2027-03-30

  • F

    Fruition Group

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