Lead machine learning engineer Work, Jobs in Cainscross, 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
Lead Consultant - Chartered Nuclear Engineer
Decision Analysis Services Ltd —Bristol
- Full-time
- Hybrid work
- Master's degree
- Machine learning
Quick apply
Lead Cloud Solutions Engineer
Northrop Grumman —Cheltenham
- £68,000 - £102,000 a year
- Hybrid work
- System design
- Windows
- AWS
Lead Software Engineer
Northrop Grumman —Cheltenham
- £55,700 - £83,500 a year
- Java
- AWS
- Agile
- Relocation assistance
Agile Delivery Lead
RAC —Almondsbury
- Up to £53,000 a year
- Hybrid work
- Azure
- Agile
- AI
- Annual leave
- Employee discount
16h
Regional Subject Lead - Science
Oasis Community Learning —Bristol
- Part-time
- Travel
- AI
- Leadership
1d
Product Mission Lead
KERRIDGE COMMERCIAL SYSTEMS CORP —Bristol
- Full-time
- ERP systems
- IT
- In-person
Quick apply
12d
Offshore Materials & Corrosion Lead
AtkinsRéalis —Bristol
- Full-time
- Hybrid work
- Engineering
- AWS
- Quality control
1d
Product Security Engineering Lead
Renishaw —Wotton-under-Edge
- Up to £60,000 a year
- Full-time
- Hybrid work
- Java
- Master's degree
- Analysis skills
- Free parking
- Employee assistance programme
Lead AI Scientist
Lloyds Banking Group —Bristol
- £90,440 - £131,450 a year
- Full-time
- Doctoral degree
- Computer Science
- Master's degree
Linux Engineering Lead
Graphcore —Bristol
- Management
- DevOps
- Scripting
Data Science Lead - 12 month FTC
Unite Students —Bristol
- Sales
- Marketing
- SQL
- Annual leave
- Employee assistance programme
9d
Engineering Lab Infrastructure Lead
Graphcore —Bristol
- Management
- Laboratory experience
- Linux
Full Stack Developer & Support Lead
Gravitywell —Bristol
- £30,000 - £40,000 a year
- Full-time
- Hybrid work
- AWS
- Project management
- JavaScript
Sr Manager, Specialist Solutions Architecture, UKI Area Specialist Team (AST)
AWS EMEA SARL (UK Branch) —Bristol
- Full-time
- Azure
- AWS
Cloud & Platform Engineering Lead
Zellis —Bristol
- Azure
- DevOps
- AWS
- Annual leave
Technical Lead
PA Consulting —Bristol
- Full-time
- Hybrid work
- Azure
- Java
- AWS
- Annual leave
Quick apply
Senior Manager, AI Agents Lead Developer, SAP Design & Innovation, Technology and Transformation
Deloitte —Bristol
- Hybrid work
- SQL
- JavaScript
- APIs
Software Engineering Team Lead
M-KOPA —Bristol
- Full-time
- Remote
- Azure
- AWS
- Mentoring
1d

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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 jobs in cainscross, gls

Lead Machine Learning Engineer, AI

Lead Consultant - Chartered Nuclear Engineer

Lead Cloud Solutions Engineer

Lead Software Engineer

Agile Delivery Lead

Regional Subject Lead - Science

Product Mission Lead

Offshore Materials & Corrosion Lead

Product Security Engineering Lead

Lead AI Scientist

Linux Engineering Lead

Data Science Lead - 12 month FTC

Engineering Lab Infrastructure Lead

Full Stack Developer & Support Lead

Sr Manager, Specialist Solutions Architecture, UKI Area Specialist Team (AST)

Cloud & Platform Engineering Lead

Technical Lead

Senior Manager, AI Agents Lead Developer, SAP Design & Innovation, Technology and Transformation

Software Engineering Team Lead

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