Lead Machine Learning Engineer

Who you are

• 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
• Zaizi works with UK Central Government departments on a range of projects. To be able to work on our customer projects, employees must be Security Cleared to a standard acceptable to our Government customers. Due to this restriction we can currently only recruit candidates who have the right to work in the UK without sponsorship and who have lived in the UK for the last 5+ years continuously

What the job involves

• Work on exciting public sector projects and make a positive difference in people’s lives. At Zaizi, we thrive on solving complex challenges through creative thinking and the latest tools and tech
• As a Machine Learning Engineer,AI, you’ll be responsible for researching, developing, and testing new AI algorithms, models, and technologies that businesses can use to automate tasks and gain insights from their data
• Key responsibilities include building complex models, designing and managing MLOps pipelines for CI/CD, monitoring, and model retraining. Mentoring junior members, influencing technical decisions within the team, and handling complex, non-routine problems
• Our work culture is inclusive, modern, friendly, and democratic. We look for bright, positive-thinking individuals with a can-do attitude. Our people enjoy challenging themselves to be the best at what they do – if that sounds like you, you'll fit right in!
• These are the expected objectives for this role. We are happy to discuss this further during the interview process with the successful candidate
• Model Development & Delivery: Design, build, test, and deploy complex machine learning models, ensuring high standards of quality, performance, and scalabilityDecide what model is most suitable for use in products and services
• MLOps Pipeline Management: Design and manage robust MLOps pipelines, including continuous integration/continuous delivery (CI/CD), monitoring, and model retraining, to ensure efficient and reliable model deployment and operation
• Advanced Problem Solving: Act as a technical expert for complex, non-routine technical challenges within machine learning, developing and implementing innovative and effective solutions
• Customise, optimise, re-train and maintain existing models
• Deploy models into production, testing and assuring them to ensure they meet performance requirements
• Work with others to integrate models with existing systems
• Check that models used in live products and services stay safe, secure and continue to work effectively

The application process

• Nat Hinds: Head of Talent
• Kayla Kirby: Talent Acquisition Specialist

Benefits

• 25 days paid holiday, plus bank holidays
• Vitality Health Insurance
• Workplace Pension
• Group Life Assurance
• £500 budget on learning and development
• Flexible working
• Team building away days
• Regular social activities
• Takeaway free lunches
• Free fruit and coffee in the office Cyclescheme