Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Design and implement cutting-edge AI solutions and lead client delivery.
- Company: Dynamic tech firm in London with a focus on AI innovation.
- Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
- Other info: Mentorship opportunities and a culture of excellence await you.
- Why this job: Join a team shaping the future of AI and make a real impact.
- Qualifications: 6+ years in AI/ML, strong Python skills, and client-facing experience.
The predicted salary is between 48000 - 72000 £ per year.
What You’ll Do
- Design & Architect AI Solutions
- Architect and implement advanced LLM systems (RAG, fine-tuning, agents, copilots) from concept to production.
- Design end-to-end AI pipelines encompassing data processing, model evaluation, deployment, and monitoring.
- Select and optimize the use of commercial and open-source LLMs (e.g., GPT, Claude, LLaMA) for performance, cost, and security.
- Build scalable, secure, and cost-efficient cloud-based AI architectures.
- Act as the primary technical point of contact for enterprise clients, translating business needs into technical requirements and solutions.
- Lead workshops, solution walkthroughs, and presentations for both technical and executive audiences.
- Own project delivery timelines, manage risks, and ensure projects are delivered on time and within scope.
- Mentor and coach junior and mid-level data scientists and ML engineers.
- Contribute to hiring, onboarding, and the establishment of technical standards and best practices.
- Lead and scale a high-performing AI delivery team, fostering a culture of excellence.
- Establish robust practices for code quality, documentation, model governance, and MLOps.
Must-Have Qualifications
- 6+ years of professional experience in data science, machine learning, or AI engineering.
- Proven, hands-on experience building and deploying LLM applications (RAG, agents, fine-tuning) in production environments.
- Expertise in Python and deep learning frameworks (PyTorch or TensorFlow).
- Deep technical knowledge of prompt engineering, retrieval-augmented generation (RAG) architectures, fine-tuning, and inference optimization.
- Solid experience deploying and monitoring models in production on a major cloud platform (AWS, Azure, or GCP).
- Proven client-facing, consulting, or stakeholder management experience with excellent communication and presentation skills.
Nice-to-Have Qualifications
- Experience directly mentoring or leading technical teams.
- Strong MLOps skills (CI/CD, containerization, model monitoring) using tools like MLflow, Weights & Biases, etc.
- Experience working in regulated industries (finance, healthcare, enterprise SaaS).
- Knowledge of AI governance, responsible AI, data privacy, and security standards.
- Experience scoping projects, estimating timelines, and writing technical proposals.
What Success Looks Like In Your First Year
- Successfully deliver multiple end-to-end LLM projects for key clients, achieving defined success metrics.
- Become the go-to trusted AI advisor for a portfolio of clients and internally for company leadership.
- Design and socialize reusable frameworks, patterns, and best practices that elevate our team's efficiency and quality.
- Take on clear leadership responsibilities for a growing team, contributing directly to their development and the team’s productivity gains.
Skills
- artificial intelligence
- langchain
- large language models (LLMs)
- azure
- amazon web services (AWS)
- tensorflow
- pytorch
- mlops
- ci/cd
- ai
- gcp
- rag
AIML Engineer in London employer: Leute Passen Technologies
Contact Detail:
Leute Passen Technologies Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AIML Engineer in London
✨Network Like a Pro
Get out there and connect with people in the AIML space! Attend meetups, webinars, or industry events. You never know who might be looking for someone just like you!
✨Show Off Your Skills
Create a portfolio showcasing your projects, especially those involving LLMs and AI solutions. Share it on platforms like GitHub or your personal website to impress potential employers.
✨Ace the Interview
Prepare for technical interviews by brushing up on your Python skills and deep learning frameworks. Practice explaining complex concepts in simple terms, as you'll need to communicate effectively with clients.
✨Apply Through Us!
Don’t forget to check out our website for open positions. Applying directly through us not only shows your interest but also gives you a better chance of landing that dream job!
We think you need these skills to ace AIML Engineer in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the AIML Engineer role. Highlight your experience with LLMs, Python, and any relevant projects you've worked on. We want to see how your skills match what we're looking for!
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 background makes you a perfect fit for our team. Don’t forget to mention any client-facing experience you have!
Showcase Your Projects: If you've built or deployed any LLM applications, make sure to showcase them in your application. We love seeing real-world examples of your work, so include links or descriptions of your projects!
Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It helps us keep track of applications and ensures you’re considered for the role. Plus, it’s super easy!
How to prepare for a job interview at Leute Passen Technologies
✨Know Your LLMs Inside Out
Make sure you’re well-versed in the latest large language models like GPT, Claude, and LLaMA. Be ready to discuss their strengths, weaknesses, and how you’ve used them in past projects. This shows you’re not just familiar with the tech but can also apply it effectively.
✨Showcase Your Client-Facing Skills
Since this role involves acting as a primary technical point of contact for clients, prepare examples of how you've translated complex technical concepts into business solutions. Highlight any workshops or presentations you've led, as this will demonstrate your ability to communicate effectively with both technical and non-technical audiences.
✨Demonstrate Your Leadership Experience
Be ready to talk about your experience mentoring junior team members and leading projects. Share specific instances where you’ve contributed to team growth or improved processes. This will show that you’re not just a tech whiz but also a team player who can elevate others.
✨Prepare for Technical Deep Dives
Expect to dive deep into technical discussions around AI pipelines, MLOps, and deployment strategies. Brush up on your knowledge of tools like MLflow and containerization techniques. Being able to discuss these topics confidently will set you apart as a strong candidate.