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

Graduate Machine Learning Engineer, AI
Zaizi —Cheltenham
- Up to £40,000 a year
- Hybrid work
- Engineering
- AWS
- Machine learning
- Annual leave
- Work from home
Quick apply
7d
Data Science and AI Trainer (Government)
QA Limited —Cheltenham
- Azure
- Doctoral degree
- Computer Science
- Annual leave
- Employee assistance programme
Digital Content & Technical Communications Specialist
UAVTEK —Aldsworth
- £26,000 - £36,000 a year
- Full-time
- Engineering
- English
- IT
Quick apply
Security Officer - Nights 6 on/3 off (19:30-07:30)
BidvestNoonan —Brockworth
- £13.99 an hour
- Full-time
- Computer literacy
- First Aid Certification
- Driving
- Annual leave
Quick apply
Head of Paid Media and Social Media
Ecotricity Group Limited —Stroud
- Full-time
- Hybrid work
- Social media management
- Analysis skills
- Travel
- Free parking
- Work from home
Quick apply
3d
Technical Product Manager
JEBACO Global limited —Swindon
- £38,500 a year
- Full-time
- Microsoft Powerpoint
- Microsoft Excel
- Microsoft Office
- Flexitime
Quick apply
Machine Learning Engineer, AI (SFIA 3)
Zaizi —Cheltenham
- Up to £60,000 a year
- Hybrid work
- Azure
- AWS
- C++
- Annual leave
- Work from home
Quick apply
7d
Lecturer in Aerospace Control
University of the West of England —Frenchay
- £38,784 - £46,049 a year
- Full-time
- Engineering
- University
- AI
- Annual leave
10d
Data Science Specialist
BT —Cheltenham
- Full-time
- DevOps
- Data analysis skills
- Java
- Annual leave
- Employee discount
Head of Paid Media and Social Media
Ecotricity —Stroud
- Hybrid work
- Social media management
- Analysis skills
- Travel
- Employee discount
- Referral programme
3d
Cloud Intelligence Business Development Manager - EMEA, AWS Cloud Intelligence
AWS EMEA SARL (UK Branch) —Cheltenham
- Full-time
- Sales
- AWS
- Bachelor's degree
Service Delivery Specialist
QA Limited —Cheltenham
- AI
- Annual leave
- Employee assistance programme
Executive Assistant to the Principal and Director of Training for Regents Theological College
Elim Foursquare Gospel Alliance —Malvern
- £15 an hour
- Part-time
- Microsoft Powerpoint
- Microsoft Word
- Microsoft Excel
- Free parking
- Health & wellbeing programme
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
Full Stack Engineer (Investment Platform)
St. James's Place —Cirencester
- Azure
- Data analysis skills
- SQL
- Annual leave
Junior Data Engineer
Leonardo UK Ltd —Bristol
- £37,318 - £50,000 a year
- Full-time
- Hybrid work
- DevOps
- SQL
- Machine learning
- Flexible schedule
- Referral programme
Cloud Operations Engineer (AWS or Azure)
Finova —Cheltenham
- Hybrid work
- Azure
- AWS
- Annual leave
- Employee assistance programme
Senior Cloud Solutions Engineer
Northrop Grumman —Cheltenham
- £52,000 - £78,000 a year
- Hybrid work
- Computer Science
- Windows
- AWS
DevOps Engineer
Origin8tive Limited —Cheltenham
- £43,000 - £60,000 a year
- Full-time
- Azure
- Computer Science
- DevOps
- Health & wellbeing programme
- Flexitime
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

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Graduate Machine Learning Engineer, AI

Zaizi -
Cheltenham

Quick apply

Job details

Up to £40,000 a year
7 days ago

Benefits

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

Qualifications

Engineering
Google Cloud Platform
AWS
Machine learning
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 Graduate Machine Learning Engineer, you’ll start building the skills to research machine learning models and evaluate how they can be applied within our specialist domain, working alongside and learning from a small team who deliver AI capabilities for the UK government. You'll be curious about all flavours of AI from classical ML to the latest generative and adversarial techniques and keen to learn as the field moves. You'll bring a foundation in software engineering from your degree alongside your ML knowledge, and be eager to get hands-on with research, experiment under guidance, and see how new approaches translate into practical capability for our customers. You'll work closely with, and be mentored by, a small, high-performing team of engineers and researchers, contributing ideas and building new skills as you go.

Our work culture is inclusive, modern, friendly, and democratic. We look for bright, positive thinking individuals with a can do attitude and a genuine appetite for learning. Our people enjoy challenging themselves to be the best at what they do, if that sounds like you, you'll fit right in! And the work itself matters: you'll be helping to keep the UK safe.

Requirements

These are the expected objectives for this role. We are happy to discuss this further during the interview process with the successful candidate.

Model Research & Evaluation: Support research into emerging machine learning models and techniques, and help assess how they could be applied within our specialist domain.
Applied AI Research: Help turn research into practical proofs of concept, exploring generative, adversarial and other AI approaches.
Domain Application: Work with the team to build an understanding of our customers' problems and start translating ML capability into solutions that fit their specialist domain.
Continuous Learning: Keep pace with the fast moving field of AI building knowledge across different model types and techniques and sharing what you learn with the team.

Skills & Experience

Technical Expertise: Understanding of machine learning algorithms and frameworks with a foundational grounding in software engineering practices, typically gained through a relevant degree, bootcamp or personal projects, plus a genuine curiosity about how ML models work.
Research Skills: Comfortable reading academic ML papers and keen to develop the skill of translating findings into practical ideas worth testing.
Technology Implementation: An interest in evaluating new AI technologies, generative, adversarial or otherwise, and how they might be relevant and feasible within the UK Government domain.
Prototyping: Enjoy building proofs of concept, and keen to learn how research bridges the gap into real-world application.
Growth Mindset: Keen to learn from the team and build towards becoming a trusted voice on the practical application of AI within the organisation over time.
Data Science: An interest in applying data science techniques to support model research, evaluation, and refinement.
Team Fit: A quick learner who's easy to work with, and will slot naturally into a close-knit, high-performing team.

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!

SC Clearance:

Zaizi works with UK Central Government departments on a range of projects. To be able to work on our customer projects, employees must be Security Cleared to a standard acceptable to our Government customers. Due to this restriction we can currently only recruit candidates who have the right to work in the UK without sponsorship and who have lived in the UK for the last 5+ years continuously.

Up to £40,000

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.

Quick apply

Refine Your Search

machine learning engineer jobs in edge, gls

Graduate Machine Learning Engineer, AI

Data Science and AI Trainer (Government)

Digital Content & Technical Communications Specialist

Security Officer - Nights 6 on/3 off (19:30-07:30)

Head of Paid Media and Social Media

Technical Product Manager

Machine Learning Engineer, AI (SFIA 3)

Lecturer in Aerospace Control

Data Science Specialist

Head of Paid Media and Social Media

Cloud Intelligence Business Development Manager - EMEA, AWS Cloud Intelligence

Service Delivery Specialist

Executive Assistant to the Principal and Director of Training for Regents Theological College

Machine Learning Implementation Engineer, AI (SFIA4)

Full Stack Engineer (Investment Platform)

Junior Data Engineer

Cloud Operations Engineer (AWS or Azure)

Senior Cloud Solutions Engineer

DevOps Engineer

Lead Machine Learning Engineer, AI

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