Lead Machine Learning Engineer, AI

hackajob is partnering directly with Zaizi to hire for this role. Work on exciting public sector projects and make a positive difference in peoples lives. At Zaizi, we thrive on solving complex challenges through creative thinking and the latest tools and tech. As a Machine Learning Engineer,AI, youll 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!

Requirements Role Objectives 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 scalability

Decide 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 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. You dont meet all the requirements? Studies show that women and black, Asian and minority ethics people are less likely to apply for a job unless they meet every qualification. So if youre excited about this role but your experience doesnt align perfectly with the job description, wed love you to still apply.

You might just be the perfect person for this role, or another role here  actively welcome applications from people of colour, the LGBTQ community, individuals with disabilities, neurodivergent individuals, parents, carers, and those from lower socio-economic backgrounds. If you need any accommodations to support your specific situation, please feel free to let us know. For candidates who are neurodiverse or have disabilities, we are happy to make any adjustments needed throughout the interview process just ask!

Security This role requires eligibility for UK Government Security Clearance. This currently means candidates must have the right to work in the UK without sponsorship and have lived in the UK continuously for the last 5 years. Up to £75,000 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…