At a Glance
- Tasks: Design and implement cutting-edge AI solutions and lead client delivery.
- Company: Dynamic tech firm 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 70000 - 90000 £ per year.
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: leutetech
As a Senior AIML Engineer in London, you will thrive in a dynamic and innovative work environment that champions creativity and collaboration. Our hybrid work model promotes a healthy work-life balance, while our commitment to employee growth ensures you have access to mentorship and professional development opportunities. Join us to be part of a forward-thinking team that values excellence and empowers you to make a meaningful impact in the AI landscape.
StudySmarter Expert Advice🤫
We think this is how you could land Senior AIML Engineer in London
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We think you need these skills to ace Senior AIML Engineer in London
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at leutetech. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
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✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
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✨Get Comfortable with Python and R
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✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
