The Machine Learning Institute can provide you with a continuous pipeline of ideal machine learning engineers from our pool of first-rate candidates.
We only accept outstanding students. Our extensive application process includes a pre-course, in-person meetups, a behavioural interview and a technical interview with a seasoned practitioner. We accept less than 3% of applicants.
We put extraordinary effort into our programme, where we push our students to develop a deep understanding of the latest developments in AI. Our programme is practical and geared towards building. If our students spend ten hours a day writing code, we know we are doing our job.
All of our programmes are delivered by experienced practitioners. They provide passion, knowledge and coaching and lay the foundation for productive work with your organisation.
We want each of our students to have an uncommonly impactful career so we are placing our students with ambitious companies doing compelling work.
After speaking with us, we will give you access to our list of available candidates. You will be able to view their CVs, LinkedIn and Github.
Once you have found a candidate that fits your hiring needs, let us know and we'll make an intro. We do not set expected salaries for our learners. You will have to negotiate the specifics directly with the candidate.
We are not a recruitment agency. We do not charge a fee for hiring our students. We provide a facility for exceptional companies to connect with our students, and ideally we do not want to be involved in the details of your hiring process.
We offer a self-paced preparatory course and two full-time in-person intensives. We also run an 18-month apprenticeship.
8 weeks on campus
Model Architecture
MLOps foundations
Transformers, Attention & Sparse Attention
Multimodal Transformers
Data and Model Parallelism with multiple GPUs
Image classification, object detection & semantic segmentation
Diffusion Models for image generation with conditioning
Multistage Ranking for Search & Recommendation Engines
Next start: September 2024
8 weeks on campus
Data Management and storage
Build and deploy multi-node Kubernetes clusters
Big data foundations and data ingestion
Workflow orchestration with Apache Airflow & Prefect
Deep dive into Kubeflow Pipelines & Model Experiments
Next start: September 2024
18 months hybrid
A slow path to mastery
One or both of our 8 week bootcamps followed by 18 months of continuous training.
We are not currently accepting applications from learners without an employer. If you have an employer who is willing to partner with us for your training, ask them to get in touch.