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For Companies At a Glance
- Tasks: Design and deploy AI solutions that drive real business outcomes.
- Company: Fast-growing organisation investing heavily in AI technology.
- Benefits: Competitive salary, bonus, flexible working, and great benefits.
- Other info: Join a dynamic team focused on delivery and innovation.
- Why this job: Make a real impact with AI, not just theoretical projects.
- Qualifications: Experience in building ML/AI solutions and strong Python skills.
The predicted salary is between 100000 - 100000 £ per year.
Remote-first (UK) or Hybrid (London / Manchester)
Permanent role c£100,000 plus bonus. Contract roles also an option.
The Opportunity
We’re working with a fast-growing, forward-thinking organisation investing heavily in AI to drive real business outcomes. This is not a research role—this is about building and deploying AI solutions that actually get used. You’ll sit at the intersection of data, cloud, and machine learning, helping take ideas from concept through to production.
What You’ll Be Doing
- Design, build, and deploy AI / ML models into production environments
- Work across the full lifecycle: data → model → deployment → optimisation
- Fine-tune and integrate LLMs into real business workflows
- Collaborate with data engineers and platform teams to productionise solutions
- Build scalable pipelines and APIs to support AI applications
- Contribute to architecture decisions across AI and cloud environments
What We’re Looking For
- Proven experience building and deploying ML / AI solutions in production
- Strong Python skills and experience with ML frameworks (e.g. PyTorch, TensorFlow)
- Experience working in cloud environments (Azure, AWS, or GCP)
- Solid understanding of data pipelines and engineering principles
- Exposure to LLMs / GenAI (fine-tuning, prompt design, RAG, etc.)
- Comfortable working in fast-paced, delivery-focused environments
Nice to Have
- Experience with MLOps tooling (CI/CD, model monitoring, versioning)
- Knowledge of vector databases / embeddings
- Experience building APIs or microservices
- Consulting or client-facing experience
Why This Role
- Work on real AI use cases, not just experimentation
- Join a team focused on delivery and impact
- Opportunity to shape how AI is embedded across a growing business
Package
- Competitive base salary
- Bonus + benefits
- Flexible / hybrid working
Artificial Intelligence Engineer in England employer: 83zero
Contact Detail:
83zero Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Artificial Intelligence Engineer in England
✨Tip Number 1
Network like a pro! Reach out to people in the AI and machine learning space on LinkedIn or at meetups. 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/ML projects. Whether it's GitHub repos or a personal website, having tangible examples of your work can really set you apart from the crowd.
✨Tip Number 3
Prepare for those interviews! Brush up on common AI/ML interview questions and be ready to discuss your experience with Python, cloud environments, and deploying models. Practice makes perfect!
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals like 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 Artificial Intelligence Engineer in England
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with AI and ML solutions. Use keywords from the job description to show we’re on the same page about what you bring to the table.
Showcase Your Projects: Include specific examples of AI/ML projects you've worked on. We want to see how you've taken ideas from concept to production, so don’t hold back on the details!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Explain why you’re excited about this role and how your skills align with our mission to drive real business outcomes through AI.
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 don’t miss out on any important updates!
How to prepare for a job interview at 83zero
✨Know Your AI Stuff
Make sure you brush up on your knowledge of AI and machine learning frameworks like PyTorch and TensorFlow. Be ready to discuss specific projects where you've built and deployed ML solutions, as this role is all about practical application, not just theory.
✨Showcase Your Cloud Skills
Since the job involves working in cloud environments like Azure, AWS, or GCP, be prepared to talk about your experience with these platforms. Highlight any projects where you've integrated AI solutions into cloud services, as this will demonstrate your ability to work across the full lifecycle.
✨Talk About Collaboration
This role requires collaboration with data engineers and platform teams, so share examples of how you've worked in a team setting. Discuss how you’ve contributed to architecture decisions and productionised solutions, as teamwork is key in delivering impactful AI applications.
✨Be Ready for Technical Questions
Expect technical questions that dive deep into your understanding of data pipelines, LLMs, and MLOps tooling. Prepare to explain concepts like fine-tuning and prompt design clearly, as well as any experience you have with CI/CD processes and model monitoring.