Lead Machine Learning Research Engineer, Applied AI

Reposted 14 Days Ago
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Cheltenham, Gloucestershire, England
In-Office
Expert/Leader
Information Technology • Software
The Role
The Lead Machine Learning Research Engineer will research, develop, and implement AI models and technologies, mentor junior staff, and solve complex challenges.
Summary Generated by Built In

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

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
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

Top Skills

Ai Algorithms
Data Science
Generative Ai
Machine Learning
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The Company
London
123 Employees
Year Founded: 2007

What We Do

Zaizi helps public sector organisations realise their potential.

We design, build and sustain secure digital services, keeping user needs at the heart of everything we do.

Digital government is hard, together we'll succeed

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