Machine learning engineer Work, Jobs in Naunton, Gls (with Salaries)

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 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
Senior Data Engineer
Ecotricity —Stroud
- £60,000 - £70,000 a year
- Full-time
- Hybrid work
- SQL
- AWS
- Python
- Free parking
- Work from home
Quick apply
8d
AI Research Engineer
Alpine —Enstone
- Full-time
- Azure
- Doctoral degree
- Master's degree
QA Tester
Frontier Resourcing —Cheltenham
- Full-time
- Azure
- AWS
- Computer networking
Quick apply
8d
Business Applications Engineer
Ecotricity —Stroud
- £26,295.60 - £28,000.00 a year
- Full-time
- Hybrid work
- Microsoft Outlook
- AWS
- Communication skills
- Free parking
- Employee discount
Quick apply
Senior Cloud Solutions Engineer
Northrop Grumman —Cheltenham
- £52,000 - £78,000 a year
- Hybrid work
- Computer Science
- Windows
- AWS
Infrastructure Engineer
PentenAmio UK —Tewkesbury
- £45,000 - £65,000 a year
- Full-time
- Hybrid work
- AWS
- Scripting
- Linux
- Free parking
- Life insurance
Quick apply
12d
Data Science and AI Trainer (Government)
QA Limited —Cheltenham
- Azure
- Doctoral degree
- Computer Science
- Annual leave
- Employee assistance programme
AD - Global Detection Engineering
NCC Group —Cheltenham
- Full-time
- Hybrid work
- Communication skills
- Annual leave
Quick apply
1d
Data Engineer
Roke —Gloucester
- Full-time
- Java
- AWS
- Python
13d
Data Engineer
Claranet —Gloucester
- Weekend availability
- Azure
- SQL
- Machine learning
Data Engineer - Remote
eSIM Go —Banbury
- £50,000 - £60,000 a year
- Remote
- SQL
- AWS
- Communication skills
- Annual leave
Quick apply
Data Engineer (AWS)
AtkinsRéalis —Cheltenham
- Full-time
- Hybrid work
- Java
- SQL
- AWS
Director of Applied AI
iCOMAT —Swindon
- Machine learning
Senior DevOps Engineer
Northrop Grumman —Cheltenham
- £50,700 - £76,100 a year
- Hybrid work
- Azure
- Computer Science
- DevOps
- Relocation assistance
Software Engineer
Finova —Cheltenham
- Hybrid work
- Azure
- AWS
- JavaScript
- Annual leave
- Employee assistance programme
Junior Data Scientist - Insite
FAI Farms —Oxford
- £33,000 - £37,000 a year
- Full-time
- Remote
- Azure
- Computer Science
- SQL
- Annual leave
- Sick pay
Quick apply
19h
Engineer - Splunk
NCC Group —Cheltenham
- Hybrid work
- Azure
- AWS
- Scripting
- Annual leave
Quick apply
Lead Software Engineer
Northrop Grumman —Cheltenham
- £55,700 - £83,500 a year
- Java
- AWS
- Agile
- Relocation assistance

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Machine Learning Implementation Engineer, AI (SFIA4)

Zaizi -
Cheltenham

Quick apply

Job details

£60,000 - £70,000 a year

Benefits

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

Qualifications

Software deployment
Google Cloud Platform
AWS
Machine learning
AI

Full job description

Role Overview

Dept: Applied AI Team

Term: Permanent

Location: Cheltenham

DV Clearance: Required & British

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 Implementation Engineer, you’ll be responsible for taking AI
models and algorithms from the research phase and maturing them into robust,
production-ready software. Your focus is on increasing the Technology Readiness
Level (TRL) of our AI solutions, ensuring they are scalable, reliable, and effectively
integrated into business workflows to automate tasks and gain insights from
data.

Key responsibilities include refining model code for performance, ensuring
software maturity, and solving complex technical hurdles during the transition
from prototype to product. You will influence technical decisions within the team,
mentor junior members, and handle 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 Maturation & Delivery: Design, build, and refactor complex machine

learning models, ensuring they move from experimental stages to high-
quality, high-performance production software.

Software Engineering for AI: Take the output from research activities and

"harden" the software to achieve higher TRLs suitable for deployment in the
National Security Domain.

System Integration: Design and manage the integration of ML models into

broader software architectures, ensuring stability and performance.

Edge Optimization & Deployment: Adapt and optimize machine learning

models for resource-constrained environments, ensuring high-
performance execution on edge hardware, including Android-based
mobile devices.

Technical Excellence: Stay current with AI implementation best practices

to ensure our solutions are maintainable and scalable.
Skills & Experience

Technical Expertise: Broad technical expertise in machine learning,

demonstrating a deep understanding of ML algorithms, frameworks, and
software engineering best practices.

Model Maturation: Proven experience in taking research-grade AI/ML code

and maturing it into production-ready software.

Technology Implementation: Ability to evaluate new generative AI

technologies for business relevance and feasibility, focusing on practical
implementation within the National Security Domain.

Advanced Prototyping: Delivering robust proofs of concept that bridge the

gap between initial research and final application.

Specialist Advice: Serving as a key technical resource for the practical

application of generative AI within the organization.

Data Science: Applying a range of data science techniques to support

model refinement and software hardening.

Deployment Experience: Proven experience in building and deploying

complex machine learning models into live environments.
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

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]

Quick apply

Refine Your Search

machine learning engineer jobs in naunton, gls

Machine Learning Implementation Engineer, AI (SFIA4)

Lead Machine Learning Engineer, AI

Senior Data Engineer

AI Research Engineer

QA Tester

Business Applications Engineer

Senior Cloud Solutions Engineer

Infrastructure Engineer

Data Science and AI Trainer (Government)

AD - Global Detection Engineering

Data Engineer

Data Engineer

Data Engineer - Remote

Data Engineer (AWS)

Director of Applied AI

Senior DevOps Engineer

Software Engineer

Junior Data Scientist - Insite

Engineer - Splunk

Lead Software Engineer

I want to receive the latest job alerts for machine learning engineer in naunton, gls

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