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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: Competitive daily rate and long-term contract with flexible working arrangements.
- Other info: Opportunity to work with the latest technologies and grow your career.
- 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 in London employer: Lumora Solutions
Contact Detail:
Lumora Solutions Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI/ML 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 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 make it easy for you to find roles that match your skills and interests. Plus, it shows you're serious about joining our team and helps us get to know you better.
We think you need these skills to ace AI/ML 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 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. Be 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: To make sure your application gets the attention it deserves, apply directly through our website. It’s the best way for us to keep track of your application and get back to you quickly!
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 previous roles. Think about times when you optimised AI models or automated ML workflows, and be ready to explain your thought process and the impact of your solutions.
✨Collaboration is Key
Since this role involves working with cross-functional teams, be prepared to discuss how you've successfully collaborated with both technical and business teams in the past. Highlight your communication skills and any tools you've used to facilitate teamwork.
✨Understand Responsible AI
Familiarise yourself with Responsible AI practices and model governance. Be ready to discuss how you ensure ethical considerations in your AI solutions, as this is increasingly important in the industry.