Machine Learning Engineer - AI

Forward Role

Greater London

Hybride

GBP 60 000 - 90 000

Plein temps

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Avantages offerts par ce poste

Private healthcare
Certifications funded
Paid study leave
Flexible hybrid working

Résumé du poste

Forward Role is seeking a Lead Machine Learning Engineer to design, develop and deploy advanced AI/ML solutions for UK Government and National Security projects. You will lead hands-on engineering while guiding a team on production deployments and secure integration.

The role requires strong ML engineering experience, MLOps, CI/CD and model monitoring, plus the ability to mentor engineers and shape technical decisions. Flexible hybrid UK work is offered.

Qualifications

  • Strong hands-on ML engineering experience with production deployment.
  • Experience with MLOps, CI/CD and model monitoring.
  • Broad knowledge of ML algorithms and frameworks.
  • Experience providing technical leadership.

Responsabilités

  • Design, develop and deploy complex ML models into production.
  • Build MLOps pipelines including CI/CD, monitoring and retraining.
  • Research Generative AI tech and create proofs of concept.
  • Fine-tune and optimize models for performance and scale.
  • Integrate AI/ML into secure systems and workflows.
  • Mentor engineers and influence technical decisions.

Connaissances

ML engineering
MLOps
CI/CD
Model monitoring
Production deployment
Mentoring
Generative AI
Prototyping

Description du poste

Building AI models is one thing. Getting them into production and delivering real impact is another.
Lead Machine Learning Engineer - AI

Location: Hybrid - UK (TBC)
Salary: £60,000-£90,000 per annum
Clearance: Active UK Government security clearance required
Level: Lead

A technology consultancy working across UK Government and National Security is looking for a Lead Machine Learning Engineer to design, develop and deploy advanced AI/ML solutions.

You’ll combine hands‑on engineering with technical leadership, working on complex challenges where AI has a genuine real‑world impact.

What you’ll be working on

  • Designing, developing and deploying complex ML models into production

  • Building MLOps pipelines covering CI/CD, monitoring and retraining

  • Researching Generative AI technologies and developing proofs of concept

  • Optimising and fine‑tuning models for performance and scalability

  • Integrating AI/ML solutions into existing secure systems

  • Mentoring engineers and influencing technical decisions

Why it’s worth a look

  • Ownership of AI/ML solutions from initial research through to production

  • Meaningful Government and National Security projects with genuine technical challenges

  • Private healthcare, funded certifications, paid study leave and flexible hybrid working

Must have: Strong hands‑on ML engineering experience, including production model deployment, MLOps, CI/CD and model monitoring. Broad knowledge of ML algorithms and frameworks, with experience providing technical leadership.

Nice to have: Generative AI research, advanced prototyping, model fine‑tuning and experience working within Government or National Security environments.

Clearance: Due to the sensitive nature of the projects, candidates must already hold a high level of UK Government security clearance.

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