Senior Machine Learning Engineer - up to £135k base plus equity
Senior Machine Learning Engineer - up to £135k base plus equity

Senior Machine Learning Engineer - up to £135k base plus equity

Full-Time 81000 - 162000 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Create bespoke AI solutions for diverse clients using your ML expertise.
  • Company: Join a rapidly growing start-up focused on Gen AI advancements.
  • Benefits: Enjoy competitive salary, equity options, and a flexible work environment.
  • Why this job: Be part of a pioneering team shaping the future of AI technology.
  • Qualifications: Proficiency in Python and experience with LLMs are essential.
  • Other info: No up-to-date CV required to apply!

The predicted salary is between 81000 - 162000 £ per year.

Do you want to leverage your AI/ML skillset in a rapidly growing start-up that’s focused on Gen AI advancements? Do you want the freedom to work with a diverse range of clients and be responsible for creating bespoke end-to-end technical solutions for them?

You’ll be joining a start-up whose founders have already made their mark in scaling a successful data and AI company, so if you want to be a part of their next big project, this could be the firm for you! By joining at this time in their venture, you’ll have the chance to establish the vision of cutting-edge AI solutions as well as influence the direction of the firm.

If coding in python is your thing, as well as having experience working with LLMs, then this could be the next step in your career – regardless of the industry you’ve come from. So, if you want to work with the latest cutting-edge technology in a firm which fosters freedom, growth and success, then let’s discuss this opportunity further.

No up-to-date CV required.

Senior Machine Learning Engineer - up to £135k base plus equity employer: Saragossa

Join a dynamic start-up that champions innovation in AI and machine learning, offering you the unique opportunity to shape bespoke solutions for a diverse clientele. With a culture that prioritises freedom, collaboration, and personal growth, you'll be part of a team led by seasoned founders who are committed to your professional development and success. This is not just a job; it's a chance to influence the future of technology in an environment that values your contributions and encourages creativity.
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Contact Detail:

Saragossa Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Senior Machine Learning Engineer - up to £135k base plus equity

Tip Number 1

Network with professionals in the AI and machine learning space. Attend industry meetups, webinars, or conferences to connect with like-minded individuals and potential colleagues. This can help you gain insights into the company culture and possibly get a referral.

Tip Number 2

Showcase your projects and experience with LLMs on platforms like GitHub or personal websites. Having a portfolio that demonstrates your coding skills in Python and your ability to create bespoke solutions will make you stand out to us.

Tip Number 3

Stay updated on the latest trends and advancements in generative AI. Being knowledgeable about current technologies and methodologies will not only prepare you for interviews but also show your genuine interest in the field.

Tip Number 4

Prepare to discuss how you can influence the direction of our firm. Think about innovative ideas or solutions you could bring to the table and be ready to share them during discussions. This shows initiative and aligns with our vision for growth.

We think you need these skills to ace Senior Machine Learning Engineer - up to £135k base plus equity

Proficiency in Python
Experience with Large Language Models (LLMs)
Strong understanding of Machine Learning algorithms
Knowledge of AI/ML frameworks (e.g., TensorFlow, PyTorch)
Data preprocessing and feature engineering skills
Ability to design and implement end-to-end ML solutions
Familiarity with cloud platforms (e.g., AWS, Google Cloud, Azure)
Experience with version control systems (e.g., Git)
Problem-solving and analytical thinking
Strong communication skills for client interaction
Adaptability to work in a fast-paced start-up environment
Understanding of data privacy and ethical AI considerations
Collaboration skills for working in diverse teams
Continuous learning mindset to keep up with AI advancements

Some tips for your application 🫡

Highlight Relevant Experience: Make sure to emphasise your experience with AI and machine learning, particularly any projects involving large language models (LLMs). Tailor your application to showcase how your skills align with the company's focus on Gen AI advancements.

Showcase Your Coding Skills: Since coding in Python is a key requirement, include specific examples of your Python projects. Mention any frameworks or libraries you are proficient in that are relevant to machine learning.

Express Your Vision: In your application, convey your enthusiasm for contributing to cutting-edge AI solutions. Discuss how you envision influencing the direction of the firm and what innovative ideas you could bring to the table.

Keep It Concise: Even though no up-to-date CV is required, ensure your application is clear and concise. Focus on the most relevant information that demonstrates your fit for the role without unnecessary fluff.

How to prepare for a job interview at Saragossa

Showcase Your AI/ML Expertise

Be prepared to discuss your experience with AI and machine learning in detail. Highlight specific projects where you've successfully implemented these technologies, especially any that involved large language models (LLMs). This will demonstrate your capability and relevance to the role.

Understand the Company's Vision

Research the start-up's goals and recent advancements in Gen AI. Being able to articulate how your skills align with their vision will show your genuine interest in the company and its future direction.

Prepare for Technical Questions

Expect technical questions related to Python coding and machine learning algorithms. Brush up on your coding skills and be ready to solve problems on the spot, as this will showcase your practical abilities.

Demonstrate Flexibility and Creativity

Since the role involves creating bespoke solutions for diverse clients, illustrate your ability to think outside the box. Share examples of how you've adapted your approach in previous roles to meet unique challenges.

Senior Machine Learning Engineer - up to £135k base plus equity
Saragossa
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  • Senior Machine Learning Engineer - up to £135k base plus equity

    Full-Time
    81000 - 162000 £ / year (est.)

    Application deadline: 2027-07-16

  • S

    Saragossa

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