At a Glance
- Tasks: Design and build production-ready AI solutions that make a real impact.
- Company: Join a tech-driven organisation focused on innovative AI applications.
- Benefits: Hybrid working, competitive pay, and potential for contract extension.
- Why this job: Turn AI ideas into reality and shape the future of technology.
- Qualifications: Experience in AI engineering, strong Python skills, and cloud knowledge.
- Other info: Dynamic role with opportunities for growth in a fast-paced environment.
The predicted salary is between 48000 - 72000 £ per year.
Contract AI Engineer (Applied / Production AI)
Location: Reading / Hybrid
Contract: Initial 3-6 months (extension likely)
Start: ASAP
Overview
We are supporting a technology-driven organisation that is moving from AI experimentation into real production use cases. They are looking for a hands-on AI Engineer to design, build and deploy AI solutions that are secure, scalable and genuinely used by the business. This is a delivery-focused role - ideal for someone who enjoys turning AI ideas into working systems, not just proofs of concept.
Key Responsibilities
- Design and build production-ready AI solutions, with a strong focus on reliability and scalability
- Develop and deploy GenAI / LLM-based applications (e.g. copilots, internal tools, automation)
- Build and maintain AI services, APIs and integrations with existing platforms
- Implement data pipelines, embeddings, vector search and retrieval-augmented generation (RAG) patterns
- Work closely with engineering, product and business stakeholders to shape AI use cases
- Ensure solutions meet security, governance and performance requirements
- Contribute to best practice around AI engineering, MLOps and deployment patterns
Required Experience
- Proven experience as an AI Engineer / ML Engineer delivering AI into production
- Strong Python development skills
- Hands-on experience with LLMs (commercial and/or open-source)
- Experience building APIs and services around AI models
- Cloud experience (AWS, Azure or GCP)
- Familiarity with vector databases, embeddings and modern AI architectures
- Comfortable working in agile, fast-moving delivery environments
Nice to Have
- Experience with GenAI use cases (RAG, agents, copilots, document automation)
- Exposure to MLOps, CI/CD and monitoring of AI systems
- Experience in regulated or enterprise environments
- Consulting or client-facing delivery experience
What's Attractive About This Role
- Focus on real AI delivery, not slideware or endless PoCs
- Opportunity to shape how AI is engineered and deployed
- Strong likelihood of extension based on delivery
- Hybrid working with a Reading base
AI Engineer Consultant in Reading employer: 83zero Limited
Contact Detail:
83zero Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Engineer Consultant in Reading
✨Tip Number 1
Network like a pro! Reach out to your connections in the AI field, attend meetups, and engage in online forums. The more people you know, the better your chances of landing that AI Engineer gig.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI projects, especially those involving LLMs and production-ready solutions. 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 Python skills and understanding cloud platforms like AWS or Azure. Be ready to discuss your hands-on experience with AI models and how you've tackled real-world challenges.
✨Tip Number 4
Don't forget to apply through our website! We’ve got loads of opportunities that match your skills, and applying directly can give you an edge. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace AI Engineer Consultant in Reading
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with AI engineering and production use cases. We want to see how you've turned ideas into real systems, so don’t hold back on those hands-on projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Tell us why you're passionate about AI and how your skills align with our needs. We love seeing enthusiasm and a clear understanding of the role.
Showcase Relevant Projects: If you've worked on any AI solutions, especially those involving LLMs or cloud platforms, make sure to mention them. We’re keen to see your practical experience and how you’ve tackled challenges in past projects.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity. Let’s get started!
How to prepare for a job interview at 83zero Limited
✨Know Your AI Stuff
Make sure you brush up on your AI and ML knowledge, especially around production-ready solutions. Be ready to discuss your hands-on experience with LLMs and how you've turned AI ideas into real systems. This role is all about delivery, so show them you can walk the talk!
✨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 thought process while coding. Practise common algorithms and data structures in Python to impress them!
✨Talk About Collaboration
This role involves working closely with various stakeholders, so be ready to share examples of how you've collaborated in the past. Highlight any experiences where you shaped AI use cases with engineering or product teams, as this will show you're a team player who can drive results.
✨Understand the Business Impact
It's crucial to convey how your AI solutions can add value to the business. Prepare to discuss how you've ensured security, governance, and performance in your previous projects. Showing that you understand the bigger picture will set you apart from other candidates.