Lead Machine Learning Engineer, AI

Zaizi

. Research, develop, and test new AI algorithms, models, and technologies .

Posted 10/9/2026full-timeLondon • United KingdomSeniorWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in machine learning algorithms and MLOps, with a strong focus on developing, deploying, and managing complex models. Proven ability to mentor team members and influence technical decisions within the organization.

Highest-signal resume keywords

Machine Learning ExpertiseMLOps Pipeline ManagementGenerative AI ResearchModel Deployment and MonitoringSC Clearance Compliance

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Machine Learning AlgorithmsModel DevelopmentModel OptimizationData Science TechniquesCI/CD PracticesPerformance TestingModel IntegrationModel RetrainingTechnical Decision-MakingProofs of Concept

Soft Skills

MentoringInfluencing

Industry Keywords

National Security DomainGenerative AIAI TechnologiesResearch ActivitiesBusiness Relevance

About the role

Key responsibilities & impact

Research, develop, and test new AI algorithms, models, and technologies
Build complex machine learning models
Design, manage, and operate MLOps pipelines for CI/CD, monitoring, and model retraining
Design, build, test, and deploy complex machine learning models
Decide which models are most suitable for products and services
Act as technical expert for complex, non-routine machine learning challenges
Customise, optimise, retrain, and maintain existing models
Deploy models into production and test and assure them against performance requirements
Integrate models with existing systems
Monitor live models to ensure they remain safe, secure, and effective
Mentor junior team members
Influence technical decisions within the team

Requirements

What you’ll need

Broad technical expertise in machine learning, with deep understanding of various ML algorithms, frameworks, and best practices
Plans, directs, and carries out research activities as a subject matter expert in generative AI research
Systematically discovers and evaluates new generative AI technologies for business relevance, feasibility, and relevance within the National Security Domain
Delivers complex, high-risk proofs of concept testing new AI applications
Serves as the primary source of generative AI expertise within the organization
Applies a range of data science techniques to support model development
Proven experience building, deploying, and managing complex machine learning models
Right to work in the UK without sponsorship
Must have lived in the UK continuously for the last 5+ years to meet SC Clearance requirements

Benefits

Comp & perks

Salaries reviewed annually to ensure they reflect your performance and market value
Loyalty Pension: starting at a 5% employer contribution, increasing by 0.5% every year after the third anniversary, up to a maximum of 8%
Comprehensive Group Life Assurance
10 paid days for Reservist Military Service
25 days annual leave plus Bank Holidays
Flexibility to Buy/Sell additional annual leave days
2 paid volunteering days per year
Fully funded professional certifications (AWS, GCP, Agile, etc.)
5 days paid study leave
£500 annual Personal Choice fund
Access to 1-2-1 professional coaching and team training
Vitality Private Medical Insurance, including Apple Watch, gym discounts, and rewards
Genuine hybrid working
WFH equipment allowance
Cycle to Work scheme