Senior Machine Learning Engineer

£60,000 - £80,000 salary plus benefits, and bonus
Full time role, within a well funded startup
Fully Remote Working
Anticipated start date : May - July 2024
Candidates must be eligible to work in the UK to apply for this role

Company:

GenomeKey is a Bristol based biotech startup developing a next-generation diagnostic device for bloodstream infections, using machine learning and DNA sequencing.

Role Responsibilities:

As Senior Machine Learning Engineer you will be an integral part of our development team, working closely under the guidance of the CTO. This role involves leading efforts in developing innovative, proprietary machine learning solutions that enhance our cutting-edge antibiotic resistance genomic prediction technologies. We predominantly work with bacterial genomes/DNA, however it should be noted that a bioinformatics background is not required for this role. This role presents a unique opportunity for a motivated individual to contribute significantly at the intersection of computer science and biotechnology, playing a crucial role in advancing healthcare solutions with the potential to save lives. Key responsibilities entail:

Algorithm Development - continuously improve and develop new machine learning algorithms, models, and techniques to advance GenomeKey’s capabilities in antimicrobial resistance analysis.
Lead the effort to deploy machine learning models into production environments, ensuring that they are scalable, reliable, and well-integrated.
Serve as a technical mentor within the team, guiding the team in choosing the most appropriate tools and methodologies, and the best practices.
Contribute to the analysis of experimental data and results, and innovation of new research strategies for the team.
Document machine learning processes, best practices, and findings, and actively share knowledge with the team.
Effectively communicate the progress, results, and challenges of machine learning projects to senior management, stakeholders, and external partners.
Staying up-to-date with the latest advancements in machine learning.
Assist in research project planning, including setting objectives, defining timelines, and allocating resources to ensure successful project execution.
Manage a small team of Machine Learning Engineers and support their professional development

Person Specification:

You will have a passion for creating and implementing novel algorithms, and developing them into commercial healthcare solutions. You will have an enthusiasm for applying fundamental scientific principles to innovative problem solving. You will embrace working within a mixed scientific team of biologists and computer scientists, to develop new medical technologies.

You will have excellent communication skills, able to share complex ideas at varying levels of technical depth. Have good will desire to work in a startup ecosystem, embracing on-the-job learning and adapting to new challenges.

Qualifications & Experience

You should aim to meet the majority of the following skills and experiences, however candidates with varied technical backgrounds will be considered.

Required:

A machine learning background, with experience in implementation of deep learning
A PhD or Masters in a scientific discipline such as Mathematics, Physics, Biology or Computer Science
Be experienced in software engineering, including Python experience
Have experience working with Pytorch and NumPy
Ability to write technical documentation, papers, reviews and notes, and deliver technical information in a digestible format
Experience developing, testing, and proving new hypotheses
Ability to live and work in the UK, and willingness to travel to Bristol occasionally

Desirable:

A PhD in machine learning
5 years’ experience in research or scientific roles within industry
An understanding of biological concepts such as DNA, genomes, cells and bacteria
Experience with Linux and common software development tools like Git or other VCS
Industry experience working with machine learning development and application
Evidence of using software development best practices where appropriate
Experience training and mentoring junior team members
Knowledge or experience of cloud technologies like AWS and Google Cloud

Company Benefits

GenomeKey is a startup company offering the following employment benefits:

Pension contributions
Flexible working around core hours
Remote working from home available, according to business need
Commitment to your personal development in a dynamic startup company
Working as part of a friendly and supportive team

The Company

GenomeKey is a Bristol-based biotechnology scale-up developing a medical diagnostic device that will reduce the time taken to determine how to treat sepsis from days to hours. Our device will combine state of the art science and technology to deliver results at an unprecedented accuracy and speed. This will save lives, save money, and advise the most effective and efficient use of antibiotics.

GenomeKey welcomes individuals with a broad range of expertise and experiences, diverse careers and backgrounds. As an equal opportunity company, we endeavour to anonymise applications and strip them of any protected information prior to review.

GenomeKey jobs

Senior Machine Learning Engineer