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

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

Leeds Full-Time 81000 - 162000 £ / year (est.) No working from home possible
Saragossa

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.
  • Other info: No up-to-date CV required to apply!
  • 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.

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 in Leeds employer: Saragossa

Join a dynamic start-up that champions innovation in AI and machine learning, offering you the chance 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 an exceptional opportunity to work with cutting-edge technology in a supportive environment that values your contributions and vision.

Saragossa

Contact Details:

Saragossa Recruitment Team

StudySmarter Expert Advice🤫

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

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 blogs. Having a portfolio that demonstrates your skills in Python and machine learning can set you apart from other candidates and give you something tangible to discuss during interviews.

Tip Number 3

Research the latest trends in generative AI and be prepared to discuss them. Understanding current advancements and being able to articulate your thoughts on them will demonstrate your passion and knowledge in the field, making you a more attractive candidate.

Tip Number 4

Prepare for technical interviews by practising coding challenges related to machine learning. Familiarise yourself with common algorithms and data structures, as well as how to apply them in real-world scenarios, to show your problem-solving skills effectively.

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

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, Azure, Google Cloud)

Some tips for your application 🫡

Tailor Your CV:Even though an up-to-date CV isn't required, it's still a good idea to tailor your CV to highlight your AI/ML skills and experience with LLMs. Focus on relevant projects and achievements that demonstrate your expertise in Python and machine learning.

Craft a Compelling Cover Letter:Write a cover letter that showcases your passion for AI advancements and your desire to work in a start-up environment. Mention specific experiences where you've created bespoke technical solutions and how you can contribute to the company's vision.

Showcase Your Technical Skills:In your application, be sure to emphasise your technical skills, particularly in Python and any experience with large language models. Provide examples of projects or challenges you've tackled that demonstrate your proficiency in these areas.

Express Your Interest in Growth:Convey your enthusiasm for being part of a rapidly growing start-up. Discuss how you value the opportunity to influence the direction of the firm and your eagerness to work with cutting-edge technology.

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 implemented solutions, especially those involving generative AI or large language models (LLMs). This will demonstrate your technical proficiency and relevance to the role.

Demonstrate Problem-Solving Skills

Expect to face scenario-based questions that assess your problem-solving abilities. Think of examples where you've created bespoke solutions for clients, and be ready to explain your thought process and the impact of your work.

Emphasise Adaptability and Growth Mindset

As a start-up, the company values flexibility and innovation. Share experiences that showcase your ability to adapt to new technologies and environments, and express your enthusiasm for continuous learning and growth in the AI field.

Prepare Questions About Company Vision

Since this role involves influencing the direction of the firm, come prepared with insightful questions about their vision for AI solutions. This shows your genuine interest in the company's future and your eagerness to contribute to its success.