Lead machine learning engineer, ai Work, Jobs in Cheltenham, Eng (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
Lead Intelligence Analyst
Northrop Grumman —Cheltenham
- Analysis skills
- Travel
- Mentoring
9d
Lead Software Engineer
Northrop Grumman —Cheltenham
- £55,700 - £83,500 a year
- Java
- AWS
- Agile
- Relocation assistance
Data Scientist - Cybersecurity Analyst (Position located in Cheltenham, United Kingdom)
KnowBe4 —Cheltenham
- Master's degree
- Bachelor's degree
- Machine learning
- Referral programme
Quick apply
7d
Data and AI Trainer
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
8d
Growth Marketing & Lead Generation Manager
Blushes —Cheltenham
- £36,000 - £75,000 a year
- Full-time
- In-person
Quick apply
1d
Infrastructure Engineer
Roke Manor Research Limited —Gloucester
- DevOps
- Software development
- IT
Digital Technology Data & Analytics Leader
GE Aerospace —Gloucester
- Full-time
- SQL
- Leadership
Strategic Lead for Place
University of Worcester —Worcester
- £32,750 - £34,950 a year
- Weekend availability
- Hybrid work
- CAD
- Data analysis skills
- Project management
- Free parking
- Health & wellbeing programme
Quick apply
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
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
Plantations on Ancient Woodland Sites (PAWS) Project Officer
Forestry England —Coleford
- £33,854 a year
- Part-time
- English
- Travel
- Free parking
- Employee discount
6h
Head of Future Development
Forestry England —Tetbury
- £48,765 - £52,557 a year
- Part-time
- English
- Free parking
- Employee discount
4d
Data Engineer
Roke —Gloucester
- Full-time
- Java
- AWS
- Python
8d
Cloud Solutions Lead
Northrop Grumman —Cheltenham
- £80,000 - £115,000 a year
- Azure
- Business development
- AWS
8d
Infrastructure Engineer
PentenAmio UK —Tewkesbury
- £45,000 - £65,000 a year
- Full-time
- Hybrid work
- AWS
- Scripting
- Linux
- Free parking
- Life insurance
Quick apply
7d
Senior Project Manager
PentenAmio UK —Tewkesbury
- £65,000 - £85,000 a year
- Full-time
- Communication skills
- Free parking
- Life insurance
Quick apply
7d
Staff Product Manager, AI Governance & Supply Chain Integration Risk
Obsidian Security —Cheltenham
- Product management
- APIs
- AI
Quick apply
2d

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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 cheltenham, eng

Lead Machine Learning Engineer, AI

Machine Learning Implementation Engineer, AI (SFIA4)

Lead Intelligence Analyst

Lead Software Engineer

Data Scientist - Cybersecurity Analyst (Position located in Cheltenham, United Kingdom)

Data and AI Trainer

Lead Cloud Solutions Engineer

Growth Marketing & Lead Generation Manager

Infrastructure Engineer

Digital Technology Data & Analytics Leader

Strategic Lead for Place

IT Service Operations Engineer

Business Development Manager - Smart Technologies

Plantations on Ancient Woodland Sites (PAWS) Project Officer

Head of Future Development

Data Engineer

Cloud Solutions Lead

Infrastructure Engineer

Senior Project Manager

Staff Product Manager, AI Governance & Supply Chain Integration Risk

I want to receive the latest job alerts for lead machine learning engineer, ai in cheltenham, eng

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