Ideagen is building domain-specific AI models for environments where accuracy traceability and accountability matter. As AI Models Lead you will take technical ownership of how language models are adapted evaluated and promoted into production across EHS Quality and GRC workflows. This is a senior hands-on engineering leadership role with responsibility for setting the technical standard for fine-tuning at scale from data and evaluation design through to production-ready adapter libraries.
You will lead the AI Models Team and work closely with domain experts platform engineers and AI leadership to ensure models behave correctly in regulated industry contexts. This role combines deep technical execution with people leadership and offers a clear growth path as Ideagens AI organisation continues to scale.
Responsibilities
Leading and developing the AI Models Team setting engineering standards mentoring engineers and establishing a strong technical culture
Designing and owning the end-to-end fine-tuning methodology including training configuration evaluation gates reproducibility standards and promotion criteria
Making base model selection decisions across foundation model families balancing capability cost and inference constraints for different domain tasks
Owning LoRA and QLoRA adaptation strategy including configuration choices training compute decisions and compatibility with the inference layer
Applying supervised fine-tuning and preference optimisation techniques to domain-specific classification and compliance problems
Building robust evaluation frameworks with domain experts to assess whether models are performing correctly in real EHS Quality and GRC use cases
Leading dataset design and construction defining labelling standards and ensuring training data is versioned auditable and reproducible
Owning production training and adapter lifecycle management from large-scale training jobs through to registry promotion and release readiness
Skills and Experience
You have a proven track record of fine-tuning language models that serve real production traffic with a strong understanding of operational failure modes
Deep practical experience with LoRA and QLoRA and clear intuition for the trade-offs between quality compute cost and inference performance
Hands-on experience applying alignment techniques such as supervised fine-tuning and preference optimisation to real-world problems
Strong tooling fluency with modern ML frameworks and experimentation platforms including debugging and scaling training pipelines
High-quality Python engineering skills with emphasis on readable testable and maintainable training and evaluation code
Experience leading or mentoring engineers in a technical ML environment with a people-first approach to leadership
Comfortable working with subject-matter experts to define what good looks like when evaluation requires real domain judgment
Background or interest in regulated domains such as EHS quality management healthcare or financial services is advantageous
About Ideagen
Ideagen is the invisible force behind many things we rely on every day - from keeping airplanes soaring in the sky to ensuring the food on our tables is safe to helping doctors and nurses care for the sick. So when you think of Ideagen think of it as the silent teammate thats always working behind the scenes to help those people who make our lives safer and better. Everyday millions of people are kept safe using Ideagen software. We have offices all over the world including America Australia Malaysia and India with people doing lots of different and exciting jobs.
Were building a future-ready team and AI is part of how we work smarter. If youre curious adaptable and open to using AI to improve how you work youll thrive at Ideagen!
What is next
If your application meets the requirements for this role our Talent Acquisition team will be in touch to guide you through the next steps.
At Ideagen we value the importance of work-life balance and welcome candidates seeking flexible arrangements. If this is something you are interested in please let us know during the application process. Enhance your career and make the world a safer place!
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Role PurposeLocation- Ruddington NottinghamshireLevel - Team Leader/ProfessionalDepartment - Product R&DWorking Pattern - Remoteunless based locallyBenefits -Benefits at IdeagenSalary - To be discussed at next stageIdeagen is building domain-specific AI models for environments where accuracy traceab...
Ideagen is building domain-specific AI models for environments where accuracy traceability and accountability matter. As AI Models Lead you will take technical ownership of how language models are adapted evaluated and promoted into production across EHS Quality and GRC workflows. This is a senior hands-on engineering leadership role with responsibility for setting the technical standard for fine-tuning at scale from data and evaluation design through to production-ready adapter libraries.
You will lead the AI Models Team and work closely with domain experts platform engineers and AI leadership to ensure models behave correctly in regulated industry contexts. This role combines deep technical execution with people leadership and offers a clear growth path as Ideagens AI organisation continues to scale.
Responsibilities
Leading and developing the AI Models Team setting engineering standards mentoring engineers and establishing a strong technical culture
Designing and owning the end-to-end fine-tuning methodology including training configuration evaluation gates reproducibility standards and promotion criteria
Making base model selection decisions across foundation model families balancing capability cost and inference constraints for different domain tasks
Owning LoRA and QLoRA adaptation strategy including configuration choices training compute decisions and compatibility with the inference layer
Applying supervised fine-tuning and preference optimisation techniques to domain-specific classification and compliance problems
Building robust evaluation frameworks with domain experts to assess whether models are performing correctly in real EHS Quality and GRC use cases
Leading dataset design and construction defining labelling standards and ensuring training data is versioned auditable and reproducible
Owning production training and adapter lifecycle management from large-scale training jobs through to registry promotion and release readiness
Skills and Experience
You have a proven track record of fine-tuning language models that serve real production traffic with a strong understanding of operational failure modes
Deep practical experience with LoRA and QLoRA and clear intuition for the trade-offs between quality compute cost and inference performance
Hands-on experience applying alignment techniques such as supervised fine-tuning and preference optimisation to real-world problems
Strong tooling fluency with modern ML frameworks and experimentation platforms including debugging and scaling training pipelines
High-quality Python engineering skills with emphasis on readable testable and maintainable training and evaluation code
Experience leading or mentoring engineers in a technical ML environment with a people-first approach to leadership
Comfortable working with subject-matter experts to define what good looks like when evaluation requires real domain judgment
Background or interest in regulated domains such as EHS quality management healthcare or financial services is advantageous
About Ideagen
Ideagen is the invisible force behind many things we rely on every day - from keeping airplanes soaring in the sky to ensuring the food on our tables is safe to helping doctors and nurses care for the sick. So when you think of Ideagen think of it as the silent teammate thats always working behind the scenes to help those people who make our lives safer and better. Everyday millions of people are kept safe using Ideagen software. We have offices all over the world including America Australia Malaysia and India with people doing lots of different and exciting jobs.
Were building a future-ready team and AI is part of how we work smarter. If youre curious adaptable and open to using AI to improve how you work youll thrive at Ideagen!
What is next
If your application meets the requirements for this role our Talent Acquisition team will be in touch to guide you through the next steps.
At Ideagen we value the importance of work-life balance and welcome candidates seeking flexible arrangements. If this is something you are interested in please let us know during the application process. Enhance your career and make the world a safer place!
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