Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Lead Machine Learning Research Engineer, Applied AI

Zaizi
Cheltenham
2 weeks ago
Create job alert
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


#J-18808-Ljbffr

Related Jobs

View all jobs

Senior Research Engineer, Deep Learning for Cancer Genomics

Manager, AI Data Engineering (UK Remote)

Machine Learning Engineer – AI Team (Global Digital)

Machine Learning Engineer - AI Team (Global Digital)

Senior Engineer, Machine Learning United Kingdom, London

Machine Learning Engineer

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Why Machine Learning Careers in the UK Are Becoming More Multidisciplinary

Machine learning (ML) has moved from research labs into mainstream UK businesses. From healthcare diagnostics to fraud detection, autonomous vehicles to recommendation engines, ML underpins critical services and consumer experiences. But the skillset required of today’s machine learning professionals is no longer purely technical. Employers increasingly seek multidisciplinary expertise: not only coding, algorithms & statistics, but also knowledge of law, ethics, psychology, linguistics & design. This article explores why UK machine learning careers are becoming more multidisciplinary, how these fields intersect with ML roles, and what both job-seekers & employers need to understand to succeed in a rapidly changing landscape.

Machine Learning Team Structures Explained: Who Does What in a Modern Machine Learning Department

Machine learning is now central to many advanced data-driven products and services across the UK. Whether you work in finance, healthcare, retail, autonomous vehicles, recommendation systems, robotics, or consumer applications, there’s a need for dedicated machine learning teams that can deliver models into production, maintain them, keep them secure, efficient, fair, and aligned with business objectives. If you’re hiring for or applying to ML roles via MachineLearningJobs.co.uk, this article will help you understand what roles are typically present in a mature machine learning department, how they collaborate through project lifecycles, what skills and qualifications UK employers look for, what the career paths and salaries are, current trends and challenges, and how to build an effective ML team.

Why the UK Could Be the World’s Next Machine Learning Jobs Hub

Machine learning (ML) is becoming essential to industries across the globe—from finance and healthcare to retail, logistics, defence, and the public sector. Its ability to uncover patterns in data, make predictions, drive automation, and increase operational efficiency has made it one of the most in-demand skill sets in the technology world. In the UK, machine learning roles—from engineers to researchers, product managers to analysts—are increasingly central to innovation. Universities are expanding ML programmes, enterprises are scaling ML deployments, and startups are offering applied ML solutions. All signs point toward a surging need for professionals skilled in modelling, algorithms, data pipelines, and AI systems. This article explores why the United Kingdom is exceptionally well positioned to become a global machine learning jobs hub. It examines the current landscape, strengths, career paths, sector-specific demand, challenges, and what must happen for this vision to become reality.