UK Visa Sponsorship Analytics

Occupation TypeProgrammers and software development professionals

Occupation Code Skill LevelHigher Skilled

Sponsorship Salary Threshold

£54,700 (£28.05 per hour)

Occupation rate applies

Above analytics are generated algorithmically based on job titles and may not always be the same as the company's job classification. You can also check detailed occupation eligibility, and salary criteria on our UK Visa Eligible Occupations & Salary Thresholds page.

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Description

About Isgen

Isgen develops artificial intelligence–powered educational software designed to support academic integrity, writing improvement, and responsible use of generative AI technologies.

Our platform, isgen.ai, provides a suite of AI-based tools including AI content detection, plagiarism checking, grammar improvement, citation generation, multilingual writing support, and large-scale document analysis. These services are used by students, educators, and institutions across the UK, Europe, and North America.

As adoption of generative AI increases in education and professional writing environments, maintaining reliable, scalable, and multilingual AI-assisted tools requires continuous engineering development and infrastructure improvements. We are expanding our technical team to support ongoing platform development and institutional integrations.

Job Role

Senior Software / Machine Learning Engineer

This is a full-time role supporting the continued development, deployment, and optimisation of the isgen.ai AI-powered educational platform.

Compensation: £50 -£60k per year

Role Purpose

The successful candidate will take long-term technical responsibility for maintaining and improving core platform systems supporting multiple AI-powered educational tools, including AI detection, plagiarism analysis, grammar assistance, citation generation, multilingual NLP processing, and institutional integrations.

The role supports continuous platform updates required to maintain system reliability, improve model performance, and enable integration with educational Learning Management Systems (LMS).\

Key Responsibilities

Design, develop, and maintain machine learning and NLP systems supporting AI-powered educational tools across the isgen.ai platform
Train, evaluate, and optimise large language model–based components used for content analysis, detection, and writing assistance

Deploy updated models into production environments and maintain scalable inference infrastructure

Monitor platform performance metrics and implement improvements based on user behaviour and system feedback

Develop multilingual language-processing pipelines supporting European and international users

Build and maintain backend services and APIs supporting integrations with Learning Management Systems (LMS)

Improve scalability, reliability, and response time across multiple AI-assisted platform features

Support secure deployment of AI systems used by educational institutions and enterprise users

Maintain model lifecycle workflows including retraining, testing, validation, and rollout

Collaborate with DevOps workflows to support continuous deployment across platform services

Monitor infrastructure performance and implement improvements as platform usage grows

Stay up to date with emerging generative AI technologies and adapt platform capabilities accordingly

Technical Responsibilities Supporting Platform Growth

Develop secure APIs enabling institutional integration of multiple AI services
Maintain infrastructure supporting large-scale inference workloads
Support deployment of language-specific NLP models
Improve monitoring pipelines and performance optimisation across platform tools
Contribute to long-term platform architecture supporting multiple AI-assisted services

Required Qualifications & Experience

Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Software Engineering, or a related discipline
Minimum 3 years’ experience developing software systems involving machine learning or NLP technologies
Strong programming experience in Python
Experience working with machine learning frameworks such as PyTorch, TensorFlow, or Hugging Face Transformers

Experience deploying machine learning systems into production environments

Knowledge of semantic analysis, authorship detection techniques, or large language model behaviour

Experience building backend services and APIs supporting AI applications

Familiarity with cloud platforms such as AWS, GCP, or Azure

Experience working with databases (SQL or NoSQL)

Experience using version control systems such as Git

Understanding of CI/CD workflows and production deployment pipelines

Familiarity with containerisation technologies such as Docker

Desirable Experience

Experience developing educational technology platforms
Experience working with multilingual NLP systems
Experience supporting institutional software integrations
Knowledge of AI safety evaluation and model robustness testing
Experience supporting scalable inference pipelines

Job Types: Full-time, Permanent, Senior level

Benefits:

Additional leave
Inclusive environment
Employee mentoring programme
On-site parking
Profit sharing
Referral programme
Sick pay
Sponsorship support can be provided
Work Location: In person