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For Companies At a Glance
- Tasks: Build and deploy cutting-edge AI/ML solutions and collaborate with diverse teams.
- Company: Join Lumora Solutions, a global consultancy at the forefront of AI innovation.
- Benefits: Enjoy a competitive daily rate and a long-term contract with flexible work arrangements.
- Other info: Work in Central London with opportunities for professional growth and collaboration.
- Why this job: Make a real impact in AI while developing your skills in a dynamic environment.
- 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
AI/ML Engineer in Slough employer: Lumora Solutions
Contact Detail:
Lumora Solutions Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI/ML Engineer in Slough
✨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 an AI/ML 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
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Be ready to discuss your experience with Python, PyTorch, and TensorFlow, as well as how you've tackled challenges in previous projects.
✨Tip Number 4
Don't forget to apply through our website! We have loads of exciting opportunities, and applying directly can give you a better chance of landing that dream role as an AI/ML Engineer.
We think you need these skills to ace AI/ML Engineer in Slough
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the AI/ML Engineer role. Highlight your experience with AI models, MLOps, and any relevant projects you've worked on. We want to see how your skills match what we're looking for!
Showcase Your Skills: In your application, don't just list your skills—show us how you've used them! Mention specific projects where you've built or deployed AI solutions, especially with LLMs or RAG pipelines. This helps us understand your hands-on experience.
Be Clear and Concise: When writing your application, keep it clear and to the point. Use bullet points for easy reading and make sure to highlight your key achievements. We appreciate straightforward communication that gets right to the heart of your experience.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of applications 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 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 demonstrate your proficiency. You might be asked to solve a coding problem or explain how you've used libraries like PyTorch or TensorFlow in past projects. Practice some common algorithms and be ready to showcase your coding style.
✨Get Familiar with Cloud Platforms
As cloud-based solutions are key for this role, make sure you know your way around platforms like AWS or Azure. Be prepared to discuss how you've managed MLOps in the cloud and any experience you have with Docker and Kubernetes. Real-world examples will help you stand out!
✨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 both technical and business teams to deliver AI solutions. Communication is crucial, so show them you can bridge the gap between tech and business!