Senior AI Engineer β€” Production ML & GenAI in London

Senior AI Engineer β€” Production ML & GenAI in London

London Full-Time 63000 - 77000 Β£ / year (est.) No working from home possible
NES Fircroft

At a Glance

  • Tasks: Design and deploy scalable AI applications while integrating ML models into production.
  • Company: Join NES Fircroft, a leading tech company in London with a focus on innovation.
  • Benefits: Enjoy a hybrid work model, competitive pay, and a dynamic work environment.
  • Other info: This is a 12-month contract with excellent opportunities for career advancement.
  • Why this job: Be at the forefront of AI technology and make a significant impact in the industry.
  • Qualifications: Experience in AI engineering and strong collaboration skills are essential.

The predicted salary is between 63000 - 77000 Β£ per year.

NES Fircroft in London is seeking a Senior AI Engineer for a 12-month contract at Canary Wharf. The role is hybrid and starts ASAP, with a 40-hour week.

You will:

  • Design and deploy scalable AI-powered applications
  • Integrate ML models into production
  • Collaborate with data scientists and product teams
  • Stay abreast of evolving AI tools while maintaining rigorous engineering standards

Senior AI Engineer β€” Production ML & GenAI in London employer: NES Fircroft

Joining NES Fircroft as a Contracts Specialist offers you the chance to work with a leading Oil & Gas operator in Norwich, where a supportive and collaborative work culture thrives. The company prioritises employee growth through continuous learning opportunities and fosters a professional environment that values integrity and teamwork. With a focus on maximising supplier relationships and a commitment to excellence, this role provides a meaningful career path in a dynamic industry.

NES Fircroft

Contact Details:

NES Fircroft Recruitment Team

We think you need these skills to ace Senior AI Engineer β€” Production ML & GenAI in London

AI Application Design
Machine Learning Integration
Collaboration with Data Scientists
Product Team Collaboration
Scalability in AI Solutions
Knowledge of Evolving AI Tools
Engineering Standards Maintenance