Lead Machine Learning Research Engineer, Applied AI

Zaizi; Cheltenham; On-site; GBP 55,000 - 75,000; Full time

Job summary

A leading tech company in Cheltenham is looking for a Machine Learning Research Engineer. In this role, you'll develop and deploy machine learning models, conduct research in generative AI, and solve complex technical challenges. The ideal candidate has broad expertise in machine learning, experience with model management, and a passion for innovative technologies. Flexibility and opportunities to impact exciting projects are part of the package.

Benefits

25 days paid holiday

Vitality medical insurance

Workplace Pension

Flexible working

1-2-1 coaching available

Qualifications

• Broad technical expertise in machine learning with understanding of various ML algorithms.
• Proven experience in building, deploying, and managing complex ML models.
• Acts as a subject matter expert in generative AI research.

Responsibilities

• Design, build, test, and deploy complex machine learning models.
• Lead research activities for evaluating new AI technologies.
• Integrate models with existing systems and ensure their performance.

Skills

Machine Learning

Generative AI Research

Data Science

Prototyping

Technical Problem Solving

Job description

Overview

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.

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.
• 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.

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.

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.

Benefits

• 25 days paid holiday, plus bank holidays
• Vitality medical insurance
• Workplace Pension
• Group Life Assurance
• Cyclescheme
• 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