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For Companies At a Glance
- Tasks: Design, build, and deploy real-world AI solutions that make a difference.
- 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 impactful systems 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 London employer: 83zero Limited
Contact Detail:
83zero Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Engineer Consultant in London
✨Tip Number 1
Network like a pro! Reach out to people in the AI field, attend meetups, and connect on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI projects, especially those that demonstrate your ability to build production-ready solutions. This will give potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Be ready to discuss your experience with LLMs, APIs, and cloud platforms like AWS or Azure. Practice makes perfect!
✨Tip Number 4
Don’t forget to apply through our website! We’ve got some fantastic opportunities waiting for you, and applying directly can sometimes give you an edge over other candidates.
We think you need these skills to ace AI Engineer Consultant in London
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter for the AI Engineer Consultant role. Highlight your experience with production-ready AI solutions and any relevant projects you've worked on that align with our needs.
Showcase Your Skills: Don’t just list your skills; demonstrate them! Include specific examples of how you've used Python, built APIs, or deployed LLM-based applications. We want to see your hands-on experience in action!
Be Clear and Concise: Keep your application straightforward and to the point. Use clear language to describe your achievements and avoid jargon unless it’s relevant to the role. We appreciate clarity as much as complexity!
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 the role. Plus, it’s super easy!
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, not just concepts.
✨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 on the spot, so practice coding challenges that relate to AI applications.
✨Understand the Business Side
This role is all about delivering value to the business. Be prepared to talk about how you've collaborated with stakeholders in the past to shape AI use cases and ensure solutions meet security and performance requirements.
✨Familiarise Yourself with Cloud Platforms
Since cloud experience is essential, make sure you know your way around AWS, Azure, or GCP. Be ready to discuss how you've deployed AI solutions in the cloud and any relevant projects you've worked on.
