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For Companies At a Glance
- Tasks: Design and implement cutting-edge AI solutions and lead client delivery.
- Company: Dynamic tech company at the forefront of 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 in London 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 in London
✨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 be looking for someone just like you!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your LLM projects and any cool AI solutions you've designed. This is your chance to shine and demonstrate what you can bring to the table.
✨Tip Number 3
Practice makes perfect! Prepare for interviews by doing mock sessions with friends or mentors. Focus on explaining complex concepts in simple terms, especially since you'll be dealing with clients and stakeholders.
✨Tip Number 4
Apply through our website! We love seeing candidates who take the initiative. Plus, it gives you a direct line to us, making it easier for you to stand out in the crowd.
We think you need these skills to ace Senior AIML Engineer in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Senior AIML Engineer role. Highlight your experience with LLM applications 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 Technical Skills: We love seeing hands-on experience, so be sure to include specific examples of your work with Python, deep learning frameworks, and cloud platforms. The more detail, the better – we want to know what you've built and how it performed!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us you're serious about joining the StudySmarter team!
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 depth and ability to select the right tools for the job.
✨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. Being able to demonstrate your experience in stakeholder management will set you apart.
✨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 contributed to team growth. This is crucial since the role involves leading a high-performing AI delivery team.
✨Be Ready to Discuss MLOps Practices
Brush up on your knowledge of CI/CD, containerization, and model monitoring tools like MLflow and Weights & Biases. Be prepared to explain how you’ve implemented these practices in previous roles, as they are essential for ensuring the quality and efficiency of AI solutions.