Machine Learning Engineer, Graphcore

Salary not provided
Python
C++
CUDA
PyTorch
Junior, Mid and Senior level
London

2+ days a week in office

Graphcore

Advanced AI systems and services

Be an early applicant

Graphcore

Advanced AI systems and services

201-500 employees

B2BArtificial IntelligenceEnterpriseDeep TechComputer VisionMachine LearningSaaSCloud Computing

Be an early applicant

Salary not provided
Python
C++
CUDA
PyTorch
Junior, Mid and Senior level
London

2+ days a week in office

201-500 employees

B2BArtificial IntelligenceEnterpriseDeep TechComputer VisionMachine LearningSaaSCloud Computing

Company mission

To make machine learning faster, easier and more intelligent.

Company mission

To make machine learning faster, easier and more intelligent.

Top investors

15% female employees

34% employee growth in 12 months

Our take

Traditional hardware, mainly GPUs, used for training these models, comes at a high cost, both financially and environmentally, producing millions of dollars in expenses and hundreds of tons of greenhouse gases. In response, Graphcore is developing accelerator chips designed to expedite AI system training while significantly reducing power consumption.

AI accelerators like those crafted by Graphcore specialise in enhancing specific AI applications, such as artificial neural networks, deep learning, and machine learning. Utilising multicore designs and prioritising low-precision arithmetic or in-memory computing, these accelerators elevate the performance of large AI algorithms, achieving breakthrough results in natural language processing and computer vision.

Graphcore has ambitious plans to creat an AI supercomputer set to debut in 2024, aiming to be one of the most powerful in its class. The company is actively seeking strategic partnerships to bring this vision to fruition, signaling its commitment to shaping the future of AI computing.

Freddie headshot

Freddie

Company Specialist at Welcome to the Jungle

Benefits

  • Work-Life Balance: We believe you should have a good work-life balance. Everyone's situation is different, so we offer flexible working arrangements and start and finish times, allowing you to choose when to work from home or come into the office
  • Wellbeing: We want to ensure that our employees have the resources and support they need to prioritise their health and wellbeing
  • Healthcare: We offer Private Medical Insurance (PMI) to our employees to help them take care of their health and that of their loved ones
  • Progression: We prioritise learning and development as an integral part of our culture at Graphcore. Our Talent Development team is dedicated to equipping all our employees with the necessary tools, resources, and support to enhance their skills and reach their full potential in their careers
  • Pension: We believe that our employees deserve the best when it comes to planning for their future
  • Income Protection: Graphcore understands that unforeseen circumstances can happen, and we want to ensure our employees have the necessary financial security in place

Funding (last 2 of 6 rounds)

Dec 2020

$222m

SERIES E

Feb 2020

$150m

SERIES D

Total funding: $682m

This company has top investors

Leadership

Previously the President and CEO at picoChip Designs (processors for telecoms). As well as the VP and GM of Europe at Altera (semiconductors, merged with Intel).

Simon Knowles

(CTO)

Founded two successful semiconductor companies, Element14 and Icera, for a combined value of over $1 billion.

People progressing

Joined Graphcore as a Test Technician in 2021 and has since been promoted to Semiconductor Test Engineer in 2019 and Staff SIlicon Test Engineer in 2023.

Jobs (2)

All locations

Data

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