Machine Learning Implementation Engineer AI

Hackajob Ltd; Cheltenham; Hybrid; GBP 43,000 - 71,000; Full time

Benefits offered by this job

Pension contributions

Group life assurance

25 days annual leave + bank holidays

WFH equipment allowance

Private medical insurance

Hybrid working environment

Cycle to work scheme

Professional certifications borne

Job summary

Hackajob Ltd is hiring a Machine Learning Implementation Engineer in Cheltenham to design, build, and refactor complex ML models, moving them from experimental stages to high-quality production software for the National Security Domain.

You will optimize models for edge devices, mentor juniors, and stay current with AI best practices, delivering robust proofs of concept and scalable solutions aligned with organizational security requirements.

Qualifications

• Broad ML expertise with algorithms/frameworks understanding
• Experience maturing research-grade AI/ML code into production-ready software
• Ability to evaluate new generative AI technologies for business relevance in a security context
• Experience delivering robust proofs of concept bridging research and production
• Ability to act as a technical resource for practical AI deployment

Responsibilities

• Design, build, and refactor complex ML models for production
• Harden research-derived software for higher TRLs for NSD deployment
• Design/manage integration of ML models into larger software architectures
• Optimize models for resource-constrained environments (edge/mobile)
• Stay current with AI best practices to ensure maintainability and scalability
• Refine model code for performance and overcome deployment hurdles
• Mentor junior team members and influence technical decisions
• Handle complex, non-routine problems

Skills

Machine learning

Production-grade software

Generative AI evaluation

PoC to production

Technical leadership

Data science techniques

Model deployment

UK security eligibility

Job description

Salary: £42,500 - 70,500 per year

Requirements:

• Broad technical expertise in machine learning, with a deep understanding of ML algorithms, frameworks, and software engineering best practices.
• Proven experience taking research-grade AI/ML code and maturing it into production-ready software.
• Ability to evaluate new generative AI technologies for business relevance and feasibility, with a focus on practical implementation within the National Security Domain.
• Experience delivering robust proofs of concept that bridge the gap between initial research and final application.
• Ability to serve as a key technical resource for the practical application of generative AI within the organization.
• Experience applying a range of data science techniques to support model refinement and software hardening.
• Proven experience building and deploying complex machine learning models into live environments.
• British citizenship and UK residency for the last ten years due to UK government security restrictions.

Responsibilities:

• Design, build, and refactor complex machine learning models, ensuring they move from experimental stages to high‑quality, high‑performance production software.
• Harden software produced from research activities to achieve higher TRLs suitable for deployment in the National Security Domain.
• Design and manage the integration of ML models into broader software architectures, ensuring stability and performance.
• Adapt and optimize machine learning models for resource‑constrained environments, including edge hardware and Android‑based mobile devices.
• Stay current with AI implementation best practices to ensure solutions are maintainable and scalable.
• Refine model code for performance and solve complex technical hurdles during the transition from prototype to product.
• Influence technical decisions within the team and mentor junior members.
• Handle complex, non‑routine problems.

Technologies:

• AI
• Android
• Hardware
• Support
• Machine Learning
• Mobile
• Security
• AWS
• Cloud
• GCP

More:

We are hiring through a partnership with Zaizi for a permanent Machine Learning Implementation Engineer role in our Applied AI Team based in Cheltenham. We work on exciting public sector projects that make a positive difference in peoples lives and secure and improve the UKs digital infrastructure. Our culture is inclusive, modern, friendly, and democratic, and we value bright, positive-thinking people with a can-do attitude. We offer competitive pay reviewed annually, a pension starting at 5% employer contribution and increasing over time, group life assurance, 25 days annual leave plus Bank Holidays, buy/sell leave flexibility, 2 paid volunteering days per year, 10 paid days for Reservist Military Service, fully funded professional certifications with paid study leave, a £500 personal choice fund, 1-2-1 coaching and team training, private medical insurance, hybrid working with a WFH equipment allowance, and a cycle to work scheme.

last updated 40 week of 2026