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For Companies At a Glance
- Tasks: Build and deploy cutting-edge AI/ML solutions while collaborating with diverse teams.
- Company: Join a global consultancy known for innovation and excellence.
- Benefits: Competitive daily rate and long-term contract opportunities.
- Other info: Dynamic role with opportunities for growth and learning.
- Why this job: Make an impact in the AI field and work on exciting projects.
- Qualifications: Strong AI/ML engineering experience and advanced Python skills required.
Lumora Solutions is seeking an AI/ML Engineer for a 6-month rolling contract with a global consultancy operating inside IR35.
The role involves building AI models, agentic systems, RAG pipelines, and automated ML workflows while collaborating with cross-functional teams to deliver production-ready AI applications.
What you will be doing:
- Build and deploy AI/ML and Generative AI solutions, including LLMs, RAG, and agentic AI systems.
- Develop data pipelines, automate ML workflows, and manage cloud-based MLOps infrastructure.
- Fine-tune LLMs using prompt engineering, vector databases, and PEFT methods.
- Monitor and optimize AI models for performance, scalability, and reliability.
- Collaborate with technical and business teams to deliver AI solutions.
What you will bring:
- Strong experience in AI/ML engineering, MLOps, and LLM application development.
- Advanced Python skills with hands-on experience using PyTorch or TensorFlow.
- Experience building RAG pipelines, working with vector databases, prompt engineering, and LLM fine-tuning.
- Knowledge of cloud platforms, Docker, Kubernetes, CI/CD, and automation tools.
- Understanding of Responsible AI, model monitoring, and governance best practices.
- Strong problem-solving, communication, and collaboration skills.
Why Join:
- Competitive Daily Rate
- Long Term Contract
Remote C# Engineer in London employer: Lumora Solutions
Contact Detail:
Lumora Solutions Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Remote C# Engineer in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the AI/ML field and let them know you're on the lookout for opportunities. You never know who might have a lead or can refer you to someone looking for a C# Engineer.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI/ML projects, especially those involving LLMs and RAG pipelines. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Stay active on platforms like LinkedIn and GitHub. Share your insights on AI/ML trends, contribute to discussions, and showcase your latest projects. This not only builds your online presence but also attracts recruiters to your profile.
✨Tip Number 4
Apply through our website! We’ve got some fantastic roles waiting for talented individuals like you. Don’t miss out on the chance to land that remote C# Engineer position with us at StudySmarter!
We think you need these skills to ace Remote C# Engineer in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in AI/ML engineering and MLOps. We want to see how your skills match the role, so don’t be shy about showcasing your work with LLMs and RAG pipelines!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about AI solutions and how your background makes you a perfect fit for our team. Keep it engaging and relevant to the job description.
Showcase Your Projects: If you've worked on any cool AI projects, make sure to mention them! We love seeing real examples of your work, especially if they involve cloud platforms or automation tools. It gives us a better idea of what you can bring to the table.
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 from our team!
How to prepare for a job interview at Lumora Solutions
✨Know Your AI/ML Stuff
Make sure you brush up on your AI and ML knowledge before the interview. Be ready to discuss your experience with building AI models, RAG pipelines, and MLOps infrastructure. They’ll want to see that you can talk the talk and walk the walk!
✨Show Off Your Python Skills
Since advanced Python skills are a must, prepare to showcase your expertise. Bring examples of projects where you've used PyTorch or TensorFlow, and be ready to explain your thought process in developing those solutions.
✨Collaboration is Key
This role involves working with cross-functional teams, so highlight your collaboration skills. Think of specific instances where you’ve successfully worked with technical and business teams to deliver AI solutions. It’s all about showing you can play well with others!
✨Understand Responsible AI
Familiarise yourself with Responsible AI practices and model governance. Be prepared to discuss how you monitor and optimise AI models for performance and reliability. This shows you’re not just about building models but also about doing it ethically and effectively.