7 months ago
Cheltenham, United KingdomSenior
Responsibilities
- Design, build, refactor, and mature complex machine learning models into high-performance production software.
- Harden research-grade AI/ML software for deployment in the national security domain.
- Design and manage the integration of ML models into broader software architectures.
- Optimize and deploy models on resource-constrained edge hardware, including Android-based mobile devices.
- Evaluate generative AI technologies for practical business implementation and deliver robust proofs of concept.
- Apply data science techniques to model refinement and software hardening.
- Influence technical decisions, solve complex non-routine problems, provide specialist advice, and mentor junior team members.
Requirements
- Broad technical expertise in machine learning, including ML algorithms, frameworks, and software engineering best practices.
- Proven experience maturing research-grade AI/ML code into production-ready software.
- Experience building and deploying complex machine learning models into live environments.
- Ability to evaluate and practically implement generative AI technologies in the national security domain.
- Experience with advanced prototyping, data science, model refinement, and software hardening.
- British citizenship, at least ten years of UK residency, and required DV clearance.
Benefits
- Permanent role in Cheltenham; the posting identifies the workplace as on-site and also describes genuine hybrid working with a work-from-home equipment allowance.
- Annual salary of £60,000–£70,000, with annual salary reviews.
- Employer pension contribution starting at 5%, increasing to a maximum of 8%, plus group life assurance.
- 25 days of annual leave plus bank holidays, with the option to buy or sell additional days.
- Ten paid days for Reservist Military Service and two paid volunteering days per year.
- Fully funded professional certifications, including AWS and GCP, with five days of paid study leave.
- £500 annual Personal Choice learning fund, professional coaching, and team training.
- Vitality private medical insurance, Cycle to Work scheme, and other wellbeing support.
Tech Stack
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