Machine Learning Engineer

Jackson Hogg; High Wycombe; On-site; GBP 40,000 - 80,000; Full time

Job summary

An innovative firm is seeking a skilled Machine Learning Engineer to explore and implement cutting-edge algorithms using advanced machine learning techniques. This role involves analyzing diverse data sources, creating robust pipelines, and developing custom algorithms to tackle complex detection challenges. You will collaborate with experts in various fields, enhancing your understanding of scientific principles while contributing to impactful projects. If you are passionate about machine learning and eager to work in a dynamic team environment, this opportunity is perfect for you!

Qualifications

• Strong understanding of modern machine learning techniques and coding practices.
• Proficiency in Python, PyTorch, and TensorFlow is essential.

Responsibilities

• Investigate and develop algorithms using machine learning techniques.
• Collaborate with scientists to analyze data and create pipelines.

Skills

Machine Learning Techniques

Python

PyTorch

TensorFlow

SQL

Julia

Linux

AWS

FastAPI

Git

Education

Quality Degree in Scientific or Software Discipline

Tools

AWS

PyTorch

TensorFlow

FastAPI

Git

Job description

Get AI-powered advice on this job and more exclusive features.

Software Development & Data Specialist @ Jackson Hogg

Responsibilities

The Machine Learning Engineer will investigate, implement, and develop novel algorithms using machine learning techniques. They will analyze data from various sources, both internal and external, create pipelines and algorithms to simulate and augment both real and synthetic data, and develop custom ML algorithms to address detection challenges. The role involves using a variety of ML techniques, including deep neural networks. The engineer will deepen their understanding of the scientific principles behind the data by collaborating with relevant subject matter experts such as bioinformaticians and detector physicists when necessary. They will be responsible for writing high-quality software, taking ownership of specific areas of the codebase, and collaborating closely with other developers and scientists.

Qualifications & Skills:

• A good understanding of modern machine learning techniques
• A good foundation of coding practices, preferably in Python
• A reasonable proficiency with Python
• Proficiency with PyTorch or TensorFlow
• A critical mindset and understanding of scientific principles
• Ability to work in a team of scientists and exchange views and ideas based on evidence
• A quality degree in a scientific or software discipline
• Able to work with, process and manage large amounts of data
• High proficiency with Python
• Knowledge of SQL
• Proficiency with Julia
• Familiarity with Linux
• Experience of cloud deployment of software, e.g. AWS
• Knowledge of a Python API package such as FastAPI
• Experience developing software as part of a team
• Familiarity with version control systems, especially git
• High proficiency with PyTorch and TensorFlow
• Ability to confidently produce and deliver presentations on their work, within a team and to a wider audience
• Ability to create and maintain relationships with external collaborators

Seniority level

• Mid-Senior level

Employment type

• Full-time

Job function

• Information Technology
• Software Development