AWS AI Engineer (Bedrock) in London

AWS AI Engineer (Bedrock) in London

London Freelance 130000 - 130000 £ / year (est.) Home office (partial)
Tenth Revolution Group

At a Glance

  • Tasks: Build and deploy cutting-edge AI solutions using AWS Bedrock and Generative AI.
  • Company: Join a leading consultancy with a focus on innovative technology.
  • Benefits: Earn £500/day, enjoy remote work, and gain valuable experience.
  • Other info: Limited interview slots available; apply ASAP to secure your chance!
  • Why this job: Make an impact in the AI field while working with modern tools and technologies.
  • Qualifications: Experience with AWS AI/ML services and strong Python skills required.

The predicted salary is between 130000 - 130000 £ per year.

We're working with a consultancy client looking to engage AWS AI Engineers with strong experience across Bedrock and Generative AI. This is a hands-on delivery role focused on building and deploying real-world AI solutions across enterprise environments. Ideal for engineers who are actively working with LLMs and modern AWS AI tooling.

What They're Looking For

  • Hands-on experience with AWS AI/ML services, including:
    • AWS Bedrock (key)
    • SageMaker
    • Lambda, API Gateway
  • Experience building Generative AI / LLM-powered solutions
  • Strong Python development skills
  • Experience integrating AI into production systems
  • Exposure to prompt engineering, RAG, or agent-based architectures
  • Comfortable operating in a consulting / client-facing environment
  • Strong communication skills

Nice to Have

  • Experience with vector databases (e.g. Pinecone, OpenSearch)
  • Familiarity with LangChain or similar frameworks
  • Broader AWS cloud architecture experience

Key Info

  • Rate: £500/day (Inside IR35)
  • Location: Mostly remote
  • Travel: Occasional travel as required
  • Engagement: Consultancy-led delivery

My client has limited interview slots and they are looking to fill this vacancy by the end of the month. I have limited slots for 1st stage interviews next week, so if you're interested, get in touch ASAP with a copy of your most up-to-date CV and contact me directly via email.

Please Note: This is a contract role for UK residents only. This role does not offer sponsorship. You must have the right to work in the UK with no restrictions. Some of our roles may be subject to successful background checks including a DBS and credit check.

AWS AI Engineer (Bedrock) in London employer: Tenth Revolution Group

As a leading consultancy, we pride ourselves on fostering a dynamic and inclusive work culture that empowers our AWS AI Engineers to thrive. With a focus on innovative projects in Generative AI and a commitment to professional development, we offer competitive rates and the flexibility of mostly remote work, complemented by opportunities for occasional travel. Join us to be part of a forward-thinking team that values collaboration and creativity in delivering cutting-edge AI solutions.

Tenth Revolution Group

Contact Details:

Tenth Revolution Group Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land AWS AI Engineer (Bedrock) in London

Tip Number 1

Network like a pro! Reach out to your connections in the industry, especially those who work with AWS or AI. A friendly chat can lead to insider info about job openings that aren't even advertised yet.

Tip Number 2

Show off your skills! Create a portfolio showcasing your projects with AWS Bedrock and Generative AI. This will give potential employers a taste of what you can do and set you apart from the crowd.

Tip Number 3

Prepare for those interviews! Brush up on your Python skills and be ready to discuss your experience with LLMs and AWS AI tools. Practising common interview questions can help you feel more confident.

Tip Number 4

Don't forget to apply through our website! We have loads of opportunities that might just be the perfect fit for you. Plus, it’s a great way to ensure your application gets seen by the right people.

We think you need these skills to ace AWS AI Engineer (Bedrock) in London

AWS Bedrock
Generative AI
LLM (Large Language Models)
Python Development
AWS SageMaker
AWS Lambda
API Gateway

Some tips for your application 🫡

Tailor Your CV:Make sure your CV highlights your experience with AWS AI/ML services, especially Bedrock and Generative AI. We want to see how your skills match the job description, so don’t be shy about showcasing relevant projects!

Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re the perfect fit for this role. Mention your hands-on experience and any client-facing work you've done. We love a good story that connects your background to what we need.

Show Off Your Python Skills:Since strong Python development skills are key for this role, make sure to include specific examples of your work with Python in your application. We want to see how you’ve used it in real-world scenarios, especially in AI solutions.

Apply Through Our Website:Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it makes the whole process smoother for everyone involved.

How to prepare for a job interview at Tenth Revolution Group

Know Your AWS AI Tools

Make sure you brush up on your knowledge of AWS Bedrock, SageMaker, and other relevant AI/ML services. Be ready to discuss how you've used these tools in past projects, as this will show your hands-on experience and understanding of the technology.

Showcase Your Python Skills

Since strong Python development skills are a must, prepare to demonstrate your coding abilities. You might be asked to solve a problem or explain your approach to building Generative AI solutions, so practice articulating your thought process clearly.

Communicate Effectively

In a consulting role, strong communication skills are key. Practice explaining complex technical concepts in simple terms, as you may need to interact with clients who aren't as tech-savvy. This will help you stand out as someone who can bridge the gap between tech and business.

Prepare for Real-World Scenarios

Expect questions about integrating AI into production systems and working with LLMs. Think of specific examples from your experience where you've tackled challenges in these areas, and be ready to discuss your approach and the outcomes.