Senior AI Engineer

Colossyan; City Of London; On-site; GBP 70,000 - 90,000; Full time

Job summary

A leading AI company in the UK is seeking a Machine Learning Engineer to lead the development and optimization of models used in scientific literature analysis. You will collaborate with engineers, experiment with new ideas, and ensure high-quality deliverables. Ideal candidates will have substantial experience in ML frameworks and a strong programming background in Python. Competitive compensation and benefits are offered.

Benefits

Competitive compensation package

Private medical insurance

Life insurance (4 x salary)

Personal development budget

Individual wellbeing budget

25 days holiday plus bank holidays

Your birthday off!

Qualifications

• Experience with deep learning architectures such as transformers or CNNs.
• Experience in Biomedical data or computational sciences preferred.
• Experience in cloud platforms such as GCP or AWS preferred.

Responsibilities

• Lead the development and optimization of machine learning models.
• Collaborate with Research Engineers on experiments and evaluations.
• Ensure seamless integration of ML models into the platform.

Skills

Analytical skills

Problem-solving skills

Fine-tuning LLMs

AI/ML frameworks

Python programming

Agile software development

Tools

PyTorch

TensorFlow

scikit-learn

Langchain

Job description

Overview

Founded in 2018, Causaly’s AI platform for enterprise-scale scientific research redefines the limits of human productivity. We give humans a powerful new way to find, visualize and interpret biomedical knowledge and automate critical research workflows, accelerating solutions for some of the greatest health challenges we face.

We work with some of the world's largest biopharma companies and institutions on use cases spanning Drug Discovery, Safety and Competitive Intelligence. You can read more about how we accelerate knowledge acquisition and improve decision making in our blog posts here: Blog - Causaly

We are backed by top VCs including ICONIQ, Index Ventures, Pentech and Marathon.

Responsibilities

• Lead the development and optimization of machine learning models and algorithms for processing and extracting insights from scientific literature
• Collaborate with Research Engineers to experiment with new ideas, evaluate models, and improve performance
• Work with the engineering team to ensure seamless integration of machine learning models into Causaly's platform, ensuring accuracy, efficiency, and scalability.
• Participate in code reviews and ensure high-quality standards for all deliverables.
• Stay up-to-date with the latest research and advancements in machine learning and related fields.

What we're looking for

• Strong analytical and proven problem-solving skills
• Experience fine-tuning LLMs for NLP tasks in industry
• Demonstrable industry experience delivering AI/ML frameworks for a product
• Expertise in working with ML frameworks such as PyTorch, Tensorflow, scikit-learn, Langchain
• Experience with DL architectures such as transformers/CNNs
• Excellent programming skills in Python and object-oriented paradigm
• Agile software development experience

Preferred Qualifications

• Experience in Biomedical data or computational sciences
• Experience in cloud platforms such as GCP or AWS
• Experience with MLOps/LLMOps frameworks and best practices

Benefits

• Competitive compensation package
• Private medical insurance
• Life insurance (4 x salary)
• Personal development budget
• Individual wellbeing budget
• 25 days holiday plus bank holidays
• Your birthday off!
• Potential to have real impact and accelerated career growth as a member of an international team that's building a transformative AI product.

We are on a mission to accelerate scientific breakthroughs for ALL humankind, and we are proud to be an equal opportunity employer. We welcome applications from all backgrounds and fairly consider qualified candidates without regard to race, ethnic or national origin, gender, gender identity or expression, sexual orientation, disability, neurodiversity, genetics, age, religion or belief, marital/civil partnership status, domestic / family status, veteran status or any other difference.