Senior Backend Engineer: Go & Python for AI Services

Yoti; United Kingdom; On-site; GBP 50,000 - 70,000; Full time

Job summary

A leading biometric technology company in the UK is seeking to fill an AI Services role focused on deploying machine learning models to enhance their product offerings. The position requires experience with software in Go, and familiarity with machine learning frameworks like PyTorch or TensorFlow. This role promotes a collaborative work environment, ensuring quality and effective deployment of innovative technology. Candidates should be eager to learn and adapt in a fast-paced setting.

Benefits

Flexible working

Performance based discretionary annual bonus

Private Medical Insurance

Life Insurance

Pension

Cycle to work scheme

Electric Car Scheme

25 days holiday (plus bank holidays)

5 fully paid Selfie Days

Team and company activities

Continuous learning opportunities

Qualifications

• Experience in deploying machine learning models in production.
• Ability to support planning and maintenance of machine learning models.
• Interest in keeping up to date with technology developments.

Responsibilities

• Ensure technology development meets specifications.
• Deploy R&D machine learning models into production.
• Support development of machine learning tools and infrastructure.

Skills

Experience writing network-facing server software in Go

Experience in computer vision and Python

Knowledge of Triton, PyTorch, or TensorFlow

Knowledge of Docker and/or Kubernetes

Linux knowledge

Knowledge of version control (git)

Familiarity with shell scripting

Interest in cryptography

Job description

A leading biometric technology company in the UK is seeking to fill an AI Services role focused on deploying machine learning models to enhance their product offerings. The position requires experience with software in Go, and familiarity with machine learning frameworks like PyTorch or TensorFlow. This role promotes a collaborative work environment, ensuring quality and effective deployment of innovative technology. Candidates should be eager to learn and adapt in a fast-paced setting.