Machine Learning Engineering Lead

Key Skills

Aartificial intelligence, Agile methodologies, Continuous Integration & Continuous Delivery - CI/CD, Leadership Skill, Machine learning techniques, Python Programming

Job Description

The AI/ML RNA Therapeutics team applies machine learning and AI methods to fundamental problems in RNA biology and biochemistry domain in order to accelerate the discovery and development of novel RNA therapeutics. Improved target identification and therapeutic design in this space has the potential to be transformative, empowering scientists to make better and faster data-driven decisions about potential therapeutics. 

We are looking for a Lead of ML Engineering – RNA Therapeutics. This is a technical management track role with responsibility for direct reports. The candidate should be comfortable being accountable for setting the direction, standards and culture of a machine learning engineering sub-team, with demonstrable expertise across machine learning, software engineering and biology. Equally important will be excellent communication, interpersonal and organisational skills, and the ability to represent and transmit the values and principles of our organisation.

The AI/ML team is built on the principles of ownership, accountability, continuous development, and collaboration. We hire for the long term, and we're motivated to make this a great place to work. Our leaders will be committed to your career and development from day one.

In this role you will

• Lead a machine learning engineering team specialising in fundamental problems in RNA biology and chemistry
• Manage complex, multi-quarter, cross-functional projects
• Be a standard bearer for data science and software engineering best practices within the organisation
• Develop plans to meet requirements, organize a team capable of executing the plans, and lead and track delivery.
• Maintain a safe and inclusive team environment in which people thrive
• Operate in a transparent way, communicating clearly and accurately to leadership and the broader organization
• Develop a high-performing team through coaching, feedback and ensuring opportunities for growth

Why you?

Qualifications & Skills:

We are looking for professionals with these required skills to achieve our goals:

• Graduate studies in Computer Science or Applied Math, undergraduate studies in Computer Science and relevant graduate studies in the life sciences with a focus on AI/ML techniques, or undergraduate studies in Computer Science and equivalent work history. Candidates with graduate studies in CS and biological sciences or equivalent work history will be highly competitive
• Track record as an independent contributor capable of end-to-end development of ML-powered products for biological or pharmaceutical applications
• Advanced Python programming skills and a track record of delivering robust software solutions
• 3+ years experience in a technical lead or engineering manager role with direct reports
• 5+ years experience of professional software development practices: code standards, code review, version control, CI/CD, testing, documentation, Agile, with the ability to mentor others in these practices
• Proficiency with standard deep learning algorithms and model architectures, including sequence or graph based methods
• In depth knowledge in machine learning best practices, scalable training and deployment

Preferred Qualifications & Skills:

If you have the following characteristics, it would be a plus:

• PhD in Machine Learning or Computer Science
• Experience working with large ML-powered systems in a production setting
• Knowledge in molecular biology, disease biology and/or biochemistry
• Peer reviewed publications in major AI conferences

Closing Date for Applications: Thursday 29th August 2024 (COB)

Please take a copy of the Job Description, as this will not be available post closure of the advert.

When applying for this role, please use the ‘cover letter’ of the online application or your CV to describe how you meet the competencies for this role, as outlined in the job requirements above. The information that you have provided in your cover letter and CV will be used to assess your application.

During the course of your application, you will be requested to complete voluntary information which will be used in monitoring the effectiveness of our equality and diversity policies. Your information will be treated as confidential and will not be used in any part of the selection process. If you require a reasonable adjustment to the application / selection process to enable you to demonstrate your ability to perform the job requirements, please contact 0808 234 4391. This will help us to understand any modifications we may need to make to support you throughout our selection process.