Lead Machine Learning Engineer, AI

Job not on LinkedIn

🕒 January 16

🏢🏡 London – Hybrid

💵 £75k / year

⏰ Full Time

🟠 Senior

🤖 Machine Learning Engineer

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Zaizi

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2006

🏛️ Government

🔐 Security

☁️ SaaS

Government • Security • SaaS

Zaizi is a company that partners with public sector organizations to design, build, and maintain user-centered and secure digital services. They specialize in solving complex digital challenges through strategy, service design, product management, user research, agile leadership, automation, and cloud services. Zaizi's focus is on helping their clients achieve impactful outcomes by aligning digital solutions to their specific needs, enabling self-sufficiency, and fostering collaboration. With strong technical expertise and a commitment to evidence-based decision-making, Zaizi supports sectors such as border security, national security, and the public sector in achieving their digital transformation goals.

📋 Description

• Work on exciting public sector projects and make a positive difference in people’s lives. • Researching, developing, and testing new AI algorithms, models, and technologies for automation and insights. • Building complex models, managing MLOps pipelines for CI/CD, monitoring, and model retraining. • Mentoring junior team members and influencing technical decisions within the team. • Handling complex, non-routine problems in machine learning.

🎯 Requirements

• **Requirements ** • - Broad technical expertise in machine learning, demonstrating a deep understanding of various ML algorithms, frameworks, and best practices. • - Research. Plans and directs and carries out research activities, acting as a subject matter expert in generative AI research. • - Emerging Technology Monitoring. Systematically discovers and evaluates new generative AI technologies for business relevance, feasibility and relevance within the National Security Domain. • - Prototyping. Delivers complex, high-risk proofs of concept that test new AI applications. • - Specialist Advice. Serves as the primary source of expertise for generative AI within the organization. • - Data Science. Applies a range of data science techniques to support model development. • - Proven experience in building, deploying, and managing complex machine learning models.

🏖️ Benefits

• **Compensation** • - **Competitive Pay:** Salaries reviewed annually to ensure they reflect your performance and market value. • - **Loyalty Pension:** We invest in your future. Starting at a 5% employer contribution, we increase this by 0.5% every year after your third anniversary, up to a **maximum of 8%**. • - **Protection:** Comprehensive Group Life Assurance for peace of mind. • **Purpose & Culture** • - **Real Impact:** Work on mission-critical projects that secure and improve the UK's digital infrastructure. • - **Autonomy:** A culture that empowers you to make decisions, prototype rapidly, and iterate towards success. • - **Service & Community:** We support those who serve. **10 paid days** for Reservist Military Service. • **Work / Life Balance** • - **Time Off:** **25 days annual leave** + Bank Holidays, with the flexibility to Buy/Sell additional days to suit your lifestyle. • - **Giving back:** 2 paid volunteering days per year. • **Development & Growth** • - **Master Your Craft:** Fully funded professional certifications (AWS, GCP, Agile, etc.) supported by **5 days paid study leave**. • - **Expand Your Horizons:** An additional £500 annual "Personal Choice" fund to learn whatever inspires you—work-related or not. • - **Support:** Access to 1-2-1 professional coaching and team training to accelerate your career. • **Health & Balance** • - **Premium Health:** Vitality Private Medical Insurance (includes Apple Watch, gym discounts, and rewards). • - **Flexibility:** Genuine hybrid working with a WFH equipment allowance to perfect your home setup. • - **Wellbeing:** Cycle to Work scheme and a commitment to sustainable, healthy working practices. • **For further information contact: [email protected]** • **Nat Hinds: Head of Talent** • **Kayla Kirby: Talent Acquisition Specialist**