At a Glance
- Tasks: Explore cutting-edge AI/ML techniques and develop innovative algorithms.
- Company: Join a pioneering research team at the forefront of technology.
- Benefits: Competitive salary, flexible hours, and opportunities for professional growth.
- Other info: Dynamic role with diverse projects and collaboration across disciplines.
- Why this job: Make a real impact by solving complex problems with advanced AI solutions.
- Qualifications: PhD or nearing completion in a quantitative field like AI or Computer Science.
The predicted salary is between 63000 - 77000 £ per year.
AI/ML Engineer (Ph D graduate) As an AI/ML Engineer, you'll work on a diverse range of advanced research programmes where no two projects are the same.
You'll investigate emerging machine learning techniques, develop novel algorithms and build proof-of-concept systems that address complex technical challenges.
Your responsibilities will include: Researching and evaluating state-of-the-art AI and machine learning techniques.
Designing, implementing and training machine learning models for novel applications.
Developing proof-of-concept systems and rapid prototypes.
Designing experiments, analysing results and translating findings into practical engineering solutions.
Applying scientific thinking to solve complex multidisciplinary problems.
Collaborating with software engineers, mathematicians, physicists and systems engineers.
Presenting technical findings to internal teams and external stakeholders.
Contributing to research strategy and identifying future technical opportunities.
This role offers significant technical variety, allowing you to work across multiple research programmes rather than focusing on a single long-term project.
About You A Ph D (or be close to completing one) in Artificial Intelligence, Machine Learning, Computer Science, Mathematics, Physics, Engineering or another highly quantitative discipline. ...
AI/ ML Engineer employer: Lynx Recruitment Ltd
Join a dynamic and innovative team as a Java Developer in the heart of London, where you'll have the opportunity to work on large-scale, enterprise-grade applications. Our hybrid work model promotes a healthy work-life balance, while our commitment to employee growth ensures you will have access to continuous learning and career advancement opportunities. With a competitive salary and a collaborative work culture, we are dedicated to fostering an environment where your contributions are valued and recognised.
