Lead Machine Learning Engineer, AI in Gloucester

hackajob is partnering directly with Zaizi to hire for this role. 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.

Requirements Role Objectives:

• Model Development & Delivery: Design, build, test, and deploy complex machine learning models, ensuring high standards of quality, performance, and scalability.
• MLOps Pipeline Management: Design and manage robust MLOps pipelines, including continuous integration/continuous delivery (CI/CD), monitoring, and model retraining.
• Advanced Problem Solving: Act as a technical expert for complex, non-routine technical challenges within machine learning.
• 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.
• Proven experience in building, deploying, and managing complex machine learning models.

You don't meet all the requirements? Studies show that women and black, Asian and minority ethnic people are less likely to apply for a job unless they meet every qualification. So if you're excited about this role but your experience doesn't align perfectly with the job description, we'd love you to still apply.

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.

Benefits:

• Competitive Pay: 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 your third anniversary, up to a maximum of 8%.
• Comprehensive Group Life Assurance for peace of mind.
• 25 days annual leave + Bank Holidays, with the flexibility to Buy/Sell additional days.
• 2 paid volunteering days per year.
• Fully funded professional certifications (AWS, GCP, Agile, etc.) supported by 5 days paid study leave.
• An additional £500 annual "Personal Choice" fund to learn whatever inspires you.
• Access to 1-2-1 professional coaching and team training to accelerate your career.
• Vitality Private Medical Insurance (includes Apple Watch, gym discounts, and rewards).
• Genuine hybrid working with a WFH equipment allowance.
• Cycle to Work scheme and a commitment to sustainable, healthy working practices.