Lead Machine Learning Research Engineer, Applied AI at Zaizi

Cheltenham, England, United Kingdom -

Full Time

Start Date

Immediate

Expiry Date

21 Dec, 25

Salary

0.0

Posted On

22 Sep, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Machine Learning, AI Algorithms, Model Development, Generative AI, Problem Solving, Data Science, Prototyping, Emerging Technologies, Technical Expertise, Mentoring, Research, Model Optimization, Integration, Performance Testing, Security, Full Stack Development

Industry

Software Development

Description

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 Research 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 testing off the shelf techniques and models against understood customer use cases and producing full stack Proof of Concepts to showcase new capability. 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! 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 scalabilityDecide what model is most suitable for use in products and services Machine Learning Research. Acting as focal point for research activities for the team and wider business in the evaluation and prototyping of new generative AI Technologies 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 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. Nationality Due to UK government security restrictions, you will need to be a British Citizen and have been resident in the UK for the last ten years to apply for this role. 25 days paid holiday, plus bank holidays Vitality medical insurance Workplace Pension Group Life Assurance Cyclescheme Other benefits: Flexible working Work on exciting projects - make a difference Empowered to make decisions Encouraged to fail fast and learn quickly 1-2-1 and team coaching / training available to all our staff

Responsibilities

The Lead Machine Learning Research Engineer will design, build, test, and deploy complex machine learning models while ensuring high standards of quality and performance. They will also act as a technical expert for complex challenges and mentor junior team members.