Machine learning engineer Work, Jobs in Newent, 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
Graduate Software Engineer
Lockheed Martin Corporation —Gloucester
- £34,000 a year
- Full-time
- Computer Science
- Java
- C++
- Employee assistance programme
- Employee discount
3d
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
12d
Data Scientist & Machine Learning Researcher
Raytheon —South Gloucestershire
- Full-time
- Hybrid work
- Azure
- Doctoral degree
- AWS
- Sick pay
Data Scientist - Cybersecurity Analyst (Position located in Cheltenham, United Kingdom)
KnowBe4 —Cheltenham
- Master's degree
- Bachelor's degree
- Machine learning
- Referral programme
Quick apply
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
Junior Linux System Admin
DXC Technology —Gloucester
- Full-time
- AWS
- Scripting
- Linux
- Employee discount
- Gym membership
Digital & AI Support Apprentice
QA Apprenticeships —Hereford
- £17,000 a year
- Full-time
- Customer service
- Windows
- Driving
Data Engineer
Roke —Gloucester
- Full-time
- Java
- AWS
- Python
Data Engineer
Claranet —Gloucester
- Weekend availability
- Azure
- SQL
- Machine learning
Opportunities in Cyber Security - eDV Required
QinetiQ —Malvern
- Full-time
- Azure
- AWS
- Employee discount
Senior Platform Engineer
Thorn SDS —Hereford
- £65,000 - £75,000 a year
- Full-time
- Azure
- DevOps
- AWS
- Annual leave
- Life insurance
Forward Deployed Technical Talent Community - Speculative Pipeline
Rowden Technologies —Hereford
- Hybrid work
- AWS
Quick apply
Cyber Security Apprentice
Key Sigma Ltd —Cheltenham
- £15,600 - £24,863 a year
- Full-time
- English
- Machine learning
- IT
- Free parking
- Sick pay
Quick apply
5d
Senior Data Scientist & Machine Learning Researcher
Raytheon —South Gloucestershire
- Full-time
- Hybrid work
- Azure
- Doctoral degree
- Master's degree
- Sick pay
Data Science and AI Trainer (Government)
QA Limited —Cheltenham
- Azure
- Doctoral degree
- Computer Science
- Annual leave
- Employee assistance programme
Data Engineer (AWS)
AtkinsRéalis —Cheltenham
- Full-time
- Hybrid work
- Java
- SQL
- AWS
Principal Data Scientist & Machine Learning Researcher
Raytheon —South Gloucestershire
- Full-time
- Azure
- Doctoral degree
- AWS
- Sick pay
Infrastructure Engineer
PentenAmio UK —Tewkesbury
- £45,000 - £65,000 a year
- Full-time
- Hybrid work
- AWS
- Scripting
- Linux
- Free parking
- Life insurance
Quick apply

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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 newent, gls

Machine Learning Implementation Engineer, AI (SFIA4)

Lead Machine Learning Engineer, AI

Graduate Software Engineer

Senior Data Engineer

Data Scientist & Machine Learning Researcher

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

Business Applications Engineer

Junior Linux System Admin

Digital & AI Support Apprentice

Data Engineer

Data Engineer

Opportunities in Cyber Security - eDV Required

Senior Platform Engineer

Forward Deployed Technical Talent Community - Speculative Pipeline

Cyber Security Apprentice

Senior Data Scientist & Machine Learning Researcher

Data Science and AI Trainer (Government)

Data Engineer (AWS)

Principal Data Scientist & Machine Learning Researcher

Infrastructure Engineer

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