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For Companies At a Glance
- Tasks: Design and implement cutting-edge AI solutions and lead client projects.
- 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 80000 - 100000 £ per year.
Overview
Work Mode: Hybrid
Location: London
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.
- Lead Client Delivery & Advisory
- 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.
- Drive Team Leadership & Growth
- 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, azure, ai, langchain, amazon web services (aws), rag, large language models (llms), pytorch, tensorflow, gcp, ci/di, mlops
Senior AIML Engineer employer: Leute Passen Technologies
Contact Detail:
Leute Passen Technologies Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior AIML Engineer
✨Tip Number 1
Network like a pro! Get out there and connect with folks in the AI and ML space. Attend meetups, webinars, or industry events. You never know who might have the inside scoop on job openings or can refer you directly to hiring managers.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your LLM projects and any relevant work you've done. This is your chance to demonstrate your expertise in Python, deep learning frameworks, and AI solutions. A strong portfolio can really set you apart from the competition.
✨Tip Number 3
Prepare for interviews by brushing up on your client-facing skills. Since you'll be acting as a technical point of contact, practice explaining complex concepts in simple terms. Role-play with a friend or use mock interview platforms to get comfortable with potential questions.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals like you. Keep an eye on our job listings and make sure your application stands out by tailoring it to the specific role and highlighting your relevant experience.
We think you need these skills to ace Senior AIML Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the role of Senior AIML Engineer. Highlight your experience with LLMs, Python, and any cloud platforms you've worked on. We want to see how your skills align with 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 past experiences make you the perfect fit for our team. Don’t forget to mention any client-facing roles you've had – we love that stuff!
Showcase Your Projects: If you've worked on any cool AI projects, make sure to include them in your application. Whether it's fine-tuning models or building end-to-end pipelines, we want to see your hands-on experience. Visuals or links to your work can really make your application pop!
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 – just a few clicks and you’re done!
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 will show your technical expertise and help you stand out.
✨Showcase Your Client-Facing Skills
Prepare examples of how you've translated complex technical concepts into business solutions for clients. Highlight any workshops or presentations you've led, as this role requires strong communication skills with both technical and executive audiences.
✨Demonstrate Your Leadership Experience
Think of specific instances where you’ve mentored junior team members or led a project. Discuss how you fostered a culture of excellence and what practices you implemented to ensure high-quality deliverables.
✨Be Ready for Technical Challenges
Expect to tackle some technical questions or case studies during the interview. Brush up on your Python skills and be prepared to discuss MLOps practices, model monitoring, and deployment strategies. Showing your problem-solving approach will impress the interviewers.