Find a job 
Featured Companies 
Featured Universities 
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 delivery-focused team with opportunities for growth.
- 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 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
Remote C# Engineer in England employer: 83zero
Contact Detail:
83zero Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Remote C# Engineer in England
✨Tip Number 1
Network like a pro! Reach out to folks 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, let your work speak for itself. This is your chance to shine!
✨Tip Number 3
Prepare for those interviews! Brush up on common technical questions related to C#, Python, and ML frameworks. 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’ve got loads of exciting roles waiting 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 Remote C# Engineer in England
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the role of a C# Engineer. Highlight your experience with AI and ML solutions, and don’t forget to mention any relevant projects you've worked on that align with our focus on real business outcomes.
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 skills can contribute to our mission. Keep it concise but impactful—show us what makes you unique!
Showcase Your Technical Skills: We want to see your technical prowess! Include specific examples of your work with Python, ML frameworks, and cloud environments. If you’ve built scalable pipelines or APIs, let us know—this is your time to brag a little!
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 shows you’re keen on joining our team at StudySmarter!
How to prepare for a job interview at 83zero
✨Know Your Tech Inside Out
Make sure you brush up on your Python skills and get familiar with the ML frameworks mentioned in the job description, like PyTorch and TensorFlow. Be ready to discuss your past projects where you've built and deployed AI solutions, as this will show your hands-on experience.
✨Understand the Business Impact
This role is all about delivering real business outcomes through AI. Prepare examples of how your work has positively impacted previous projects or companies. Think about how you can articulate the value of your contributions in a way that resonates with the interviewers.
✨Familiarise Yourself with Cloud Environments
Since the role involves working in cloud environments like Azure, AWS, or GCP, make sure you understand the basics of these platforms. Be prepared to discuss how you've used them in your previous roles, especially in relation to deploying AI/ML models.
✨Show Your Collaborative Spirit
Collaboration is key in this role, so think of examples where you've worked closely with data engineers or platform teams. Highlight your ability to communicate effectively and how you’ve contributed to architecture decisions in past projects.