Senior AI/ML Engineer – Production LLMs & Cloud
Senior AI/ML Engineer – Production LLMs & Cloud

Senior AI/ML Engineer – Production LLMs & Cloud

Full-Time 48000 - 72000 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Lead the development of AI solutions and collaborate with data scientists and engineers.
  • Company: Prominent financial institution in the UK with a focus on innovation.
  • Benefits: Hybrid working model, competitive pay, and a chance to work on cutting-edge AI projects.
  • Why this job: Join a dynamic team and make a real impact in the financial sector with AI.
  • Qualifications: Strong Python skills and hands-on experience with AWS and ML models required.
  • Other info: Initial 3-month contract with potential for extension and excellent career growth.

The predicted salary is between 48000 - 72000 £ per year.

A prominent financial institution in the UK is seeking an experienced AI/ML professional to join their team. The successful candidate will lead the development of AI solutions and collaborate with data scientists and engineers. This role requires strong Python skills and hands-on experience with AWS and ML models. The position offers a hybrid working model and is initially a 3-month contract based in London or Edinburgh, with an ASAP start date.

Senior AI/ML Engineer – Production LLMs & Cloud employer: Jobs via eFinancialCareers

As a leading financial institution in the UK, we pride ourselves on fostering a dynamic and inclusive work culture that encourages innovation and collaboration. Our hybrid working model provides flexibility, while our commitment to employee development ensures that you will have ample opportunities to grow your skills and advance your career in the rapidly evolving field of AI and machine learning. Join us in London or Edinburgh, where you can make a meaningful impact in a supportive environment that values your contributions.
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Contact Detail:

Jobs via eFinancialCareers Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Senior AI/ML Engineer – Production LLMs & Cloud

Tip Number 1

Network like a pro! Reach out to your connections in the AI/ML field, especially those who work in finance. A friendly chat can lead to insider info about job openings or even a referral.

Tip Number 2

Show off your skills! Create a portfolio showcasing your AI/ML projects, especially those involving Python and AWS. This will give potential employers a taste of what you can bring to the table.

Tip Number 3

Prepare for interviews by brushing up on your technical knowledge. Be ready to discuss your experience with ML models and how you've tackled challenges in previous roles. Confidence is key!

Tip Number 4

Don't forget to apply through our website! We make it easy for you to find the right opportunities, and applying directly can sometimes give you an edge over other candidates.

We think you need these skills to ace Senior AI/ML Engineer – Production LLMs & Cloud

AI Solutions Development
Machine Learning (ML)
Python
AWS
Collaboration with Data Scientists
Collaboration with Engineers
Hands-on Experience with ML Models
Hybrid Working Model

Some tips for your application 🫡

Tailor Your CV: Make sure your CV highlights your experience with Python, AWS, and ML models. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!

Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about AI/ML and how you can contribute to our team. Keep it concise but impactful – we love a good story!

Showcase Your Collaboration Skills: Since this role involves working closely with data scientists and engineers, highlight any past experiences where you’ve successfully collaborated on projects. We value teamwork, so let us know how you thrive in a group setting!

Apply Through Our Website: We encourage you to apply directly through our website for a smoother process. It helps us keep track of applications and ensures you don’t miss out on any important updates from us!

How to prepare for a job interview at Jobs via eFinancialCareers

Know Your Tech Inside Out

Make sure you brush up on your Python skills and be ready to discuss your experience with AWS and ML models. Prepare to explain how you've applied these technologies in past projects, as this will show your practical knowledge and problem-solving abilities.

Showcase Your Collaboration Skills

Since the role involves working closely with data scientists and engineers, be prepared to share examples of successful collaborations. Highlight how you’ve contributed to team projects and how you handle differing opinions or challenges within a team setting.

Understand the Financial Sector

Familiarise yourself with the financial institution's operations and how AI/ML can enhance their services. Being able to discuss industry-specific applications of AI will demonstrate your interest and understanding of the sector, making you a more attractive candidate.

Prepare Questions for Them

Interviews are a two-way street! Prepare insightful questions about the team dynamics, project goals, and the hybrid working model. This not only shows your enthusiasm for the role but also helps you gauge if the company is the right fit for you.

Senior AI/ML Engineer – Production LLMs & Cloud
Jobs via eFinancialCareers

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