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For Companies At a Glance
- Tasks: Design and deploy AI/ML models that drive real business outcomes.
- Company: Fast-growing organisation investing heavily in AI solutions.
- 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 research.
- Qualifications: Experience in building ML/AI solutions and strong Python skills.
The predicted salary is between 95000 - 105000 £ per year.
Remote-first (UK) or Hybrid (London / Manchester)
Perm 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
Remote engineer in England employer: 83zero
Contact Detail:
83zero Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Remote engineer in England
✨Tip Number 1
Network like a pro! Reach out to people in the industry, 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/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 interviews by brushing up on common technical questions and real-world problem-solving scenarios. Practice coding challenges and be ready to discuss your past projects in detail.
✨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 Remote engineer in England
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the role. Highlight your experience with AI and ML solutions, especially any hands-on work you've done in production environments. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about AI and how your background makes you a great fit for our team. Keep it concise but impactful—show us your enthusiasm!
Showcase Relevant Projects: If you've worked on any projects that involved building or deploying AI models, make sure to mention them. We love seeing real-world applications of your skills, so don’t hold back on the details!
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you get all the updates directly from us. Plus, it shows you're keen on joining our team!
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 concepts. Be ready to discuss your experience with building and deploying models, especially in production environments. Highlight specific projects where you've used frameworks like PyTorch or TensorFlow.
✨Showcase Your Python Skills
Since strong Python 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 related to data manipulation and model deployment. Familiarity with MLOps tooling can also give you an edge.
✨Understand the Business Impact
This role is all about delivering real business outcomes, so be ready to discuss how your work has positively impacted previous projects. Think about how you've integrated AI solutions into workflows and how they’ve driven efficiency or revenue.
✨Collaborate and Communicate
Since you'll be working with data engineers and platform teams, emphasise your collaboration skills. Prepare examples of how you've worked in cross-functional teams and how you communicate complex technical concepts to non-technical stakeholders.