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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 a global consultancy at the forefront of AI innovation.
- Benefits: Competitive daily rate and long-term contract opportunities.
- Other info: Work in Central London with flexible remote options.
- Why this job: Make an 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 employer: Lumora Solutions
Contact Detail:
Lumora Solutions Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI/ML Engineer
✨Tip Number 1
Network like a pro! Reach out to your connections in the AI/ML space 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’ve got loads of exciting roles that match your skills. Plus, applying directly gives you a better chance of getting noticed by hiring managers.
We think you need these skills to ace AI/ML Engineer
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 align with the role, so don’t be shy about showcasing your projects and achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about AI/ML and how your background makes you a perfect fit for our team. Keep it engaging and relevant to the job description.
Showcase Your Technical Skills: We’re looking for strong Python skills and experience with tools like PyTorch or TensorFlow. Make sure to mention specific projects where you’ve used these technologies, as it’ll help us see your hands-on experience.
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!
How to prepare for a job interview at Lumora Solutions
✨Know Your AI/ML Stuff
Make sure you brush up on your AI/ML knowledge, especially around LLMs, RAG pipelines, and MLOps. Be ready to discuss your hands-on experience with Python, PyTorch, or TensorFlow, as well as any projects you've worked on that relate to the job description.
✨Showcase Your Problem-Solving Skills
Prepare to share specific examples of how you've tackled challenges in AI/ML engineering. Think about times when you optimised models or automated workflows, and be ready to explain your thought process and the impact of your solutions.
✨Collaboration is Key
Since the role involves working with cross-functional teams, be prepared to talk about your collaboration experiences. Highlight how you've effectively communicated with both technical and business teams to deliver successful AI solutions.
✨Understand Responsible AI
Familiarise yourself with Responsible AI practices and model governance. Be ready to discuss how you ensure ethical considerations in your work and how you monitor and optimise AI models for performance and reliability.