Lead machine learning engineer, ai Work, Jobs in Bishops Cleeve, Gls (with Salaries)

Lead Machine Learning Engineer, AI
Zaizi —Cheltenham
- Up to £75,000 a year
- Full-time
- Hybrid work
- AWS
- Machine learning
- AI
- Annual leave
- Work from home
Quick apply
Machine Learning Implementation Engineer, AI (SFIA4)
Zaizi —Cheltenham
- £60,000 - £70,000 a year
- Hybrid work
- AWS
- Machine learning
- AI
- Annual leave
- Work from home
Quick apply
Product Manager
Ripjar —Cheltenham
- Remote
- Product management
- IT
- Communication skills
- Annual leave
- Employee assistance programme
Quick apply
1d
Lead Software Engineer
Northrop Grumman —Cheltenham
- £55,700 - £83,500 a year
- Java
- AWS
- Agile
- Relocation assistance
Infrastructure Engineer
Roke Manor Research Limited —Gloucester
- DevOps
- Software development
- IT
Senior Project Manager
PentenAmio UK —Tewkesbury
- £65,000 - £85,000 a year
- Full-time
- Communication skills
- Free parking
- Life insurance
Quick apply
13d
Business Development Manager - Smart Technologies
Commercial —Cheltenham
- £26,228 - £30,000 a year
- Full-time
- Hybrid work
- Microsoft Powerpoint
- Microsoft Word
- Microsoft Excel
- Work from home
- Employee assistance programme
Quick apply
Process Improvement Engineer
Victrex —Stonehouse
- £42,000 - £47,000 a year
- Engineering
- Analysis skills
- Continuous improvement
Infrastructure Engineer
PentenAmio UK —Tewkesbury
- £45,000 - £65,000 a year
- Full-time
- Hybrid work
- AWS
- Scripting
- Linux
- Free parking
- Life insurance
Quick apply
13d
Planning Team Manager - Strategic Development
Tewkesbury —Tewkesbury
- £52,413 - £56,778 a year
- Full-time
- Free parking
- Annual leave
Data Science and AI Trainer (Government)
QA Limited —Cheltenham
- Azure
- Doctoral degree
- Computer Science
- Annual leave
- Employee assistance programme
Lead Cloud Solutions Engineer
Northrop Grumman —Cheltenham
- £68,000 - £102,000 a year
- Hybrid work
- System design
- Windows
- AWS
14d
AI and Analytics Senior Product Owner
NFU Mutual —Stratford-upon-Avon
- Up to £85,000 a year
- Full-time
- Hybrid work
- Project management
- Financial services
- AI
- Annual leave
- Employee discount
13d
Head of Engineering
Valpak Ltd —Stratford-upon-Avon
- £95,000 - £110,000 a year
- Full-time
- Hybrid work
- Azure
- Computer Science
- DevOps
- Annual leave
Senior AI Security Engineer
Obsidian Security —Cheltenham
- £91,000 - £106,000 a year
- Master's degree
- SQL
- APIs
Quick apply
2d
Planning Team Manager - Strategic Development
Tewkesbury Borough Council —Tewkesbury
- £52,413 - £56,778 a year
- Full-time
- Hybrid work
- Free parking
- Annual leave
Principal Planning Officer
Tewkesbury —Tewkesbury
- £47,181 - £51,356 a year
- Full-time
- Free parking
- Annual leave
Data Engineer
Obsidian Security —Cheltenham
- Hybrid work
- Master's degree
- SQL
- AWS
Quick apply
1h
Principal Planning Officer
Tewkesbury Borough Council —Tewkesbury
- £47,181 - £51,356 a year
- Full-time
- Hybrid work
- Free parking
- Annual leave
IT Service Operations Engineer
PentenAmio UK —Tewkesbury
- £45,000 - £65,000 a year
- Full-time
- Computer networking
- IT
- Linux
- Free parking
- Life insurance
Quick apply

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Lead Machine Learning Engineer, AI

Zaizi -
Cheltenham

Quick apply

Job details

Full-time
Up to £75,000 a year

Benefits

Cycle to work scheme
Annual leave
Company pension
Work from home
Discounted gym membership
Private medical insurance
Paid volunteer time

Qualifications

Google Cloud Platform
AWS
Machine learning
Data science
AI

Full job 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 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 – if that sounds like you, you'll fit right in!

Requirements

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
MLOps Pipeline Management: Design and manage robust MLOps pipelines, including continuous integration/continuous delivery (CI/CD), monitoring, and model retraining, to ensure efficient and reliable model deployment and operation
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.

You don’t meet all the requirements?

Studies show that women and black, Asian and minority ethics 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. You might just be the perfect person for this role, or another role here at Zaizi.

We actively welcome applications from people of colour, the LGBTQ+ community, individuals with disabilities, neurodivergent individuals, parents, carers, and those from lower socio-economic backgrounds.

If you need any accommodations to support your specific situation, please feel free to let us know. For candidates who are neurodiverse or have disabilities, we are happy to make any adjustments needed throughout the interview process—just ask!

Security

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.

Up to £75,000

Benefits

Compensation

Competitive Pay: Salaries reviewed annually to ensure they reflect your performance and market value.
Loyalty Pension: We invest in your future. Starting at a 5% employer contribution, we increase this by 0.5% every year after your third anniversary, up to a maximum of 8%.
Protection: Comprehensive Group Life Assurance for peace of mind.

Purpose & Culture

Real Impact: Work on mission-critical projects that secure and improve the UK's digital infrastructure.
Autonomy: A culture that empowers you to make decisions, prototype rapidly, and iterate towards success.
Service & Community: We support those who serve. 10 paid days for Reservist Military Service.

Work / Life Balance

Time Off: 25 days annual leave + Bank Holidays, with the flexibility to Buy/Sell additional days to suit your lifestyle.
Giving back: 2 paid volunteering days per year.

Development & Growth

Master Your Craft: Fully funded professional certifications (AWS, GCP, Agile, etc.) supported by 5 days paid study leave.
Expand Your Horizons: An additional £500 annual "Personal Choice" fund to learn whatever inspires you—work-related or not.
Support: Access to 1-2-1 professional coaching and team training to accelerate your career.

Health & Balance

Premium Health: Vitality Private Medical Insurance (includes Apple Watch, gym discounts, and rewards).
Flexibility: Genuine hybrid working with a WFH equipment allowance to perfect your home setup.
Wellbeing: Cycle to Work scheme and a commitment to sustainable, healthy working practices.

For further information contact: [email protected]

Nat Hinds: Head of Talent

Kayla Kirby: Talent Acquisition Specialist

Quick apply

Refine Your Search

lead machine learning engineer, ai jobs in bishops cleeve, gls

Lead Machine Learning Engineer, AI

Machine Learning Implementation Engineer, AI (SFIA4)

Product Manager

Lead Software Engineer

Infrastructure Engineer

Senior Project Manager

Business Development Manager - Smart Technologies

Process Improvement Engineer

Infrastructure Engineer

Planning Team Manager - Strategic Development

Data Science and AI Trainer (Government)

Lead Cloud Solutions Engineer

AI and Analytics Senior Product Owner

Head of Engineering

Senior AI Security Engineer

Planning Team Manager - Strategic Development

Principal Planning Officer

Data Engineer

Principal Planning Officer

IT Service Operations Engineer

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