Data scientists & statisticians Work, Jobs in Stansted, Ess (with Salaries)

AI Engineer Apprentice
QA Apprenticeships —Brentwood
- £20,000 - £23,000 a year
- Full-time
- Software troubleshooting
- AWS
- AI
- Paid training
Agentic AI Engineer (life sciences)
Healx —Cambridge
- Full-time
- Hybrid work
- Master's degree
- Software development
- AI
- Annual leave
- Work from home
Quick apply
Data Scientist
Motability Foundation —Harlow
- £55,000 - £61,000 a year
- Full-time
- Hybrid work
- AI
- Communication skills
- Analytics
- Free parking
- Annual leave
Quick apply
10d
AI/ML Research Consultant
Awerian —Cambridge
- Full-time
- Research
- Bachelor's degree
- Machine learning
- Life insurance
Quick apply
Biotech AI/ML Engineer (100 % remote) (m/f/d)
EWOR GmbH —Cambridge
- Remote
- English
- Communication skills
3d
AI Engineer (Advisory)
WSP —Cambridge
- Part-time
- Hybrid work
- Azure
- AI
- Flexitime
- Work from home
Machine Learning & AI Materials Scientist
BIOVIA —Cambridge
- Hybrid work
- Doctoral degree
- English
- Master's degree
- Flexible schedule
Senior Data Scientist
Ocado Logistics —Hatfield
- Full-time
- Machine learning
- Employee assistance programme
- Employee discount
Software Engineer (Machine Learning)
Arm —Cambridge
- £55,300 - £74,800 a year
- Hybrid work
- Computer Science
- English
- Analysis skills
Senior Data Scientist - 12 Month FTC
Ocado Logistics —Hatfield
- Full-time
- Machine learning
- Employee assistance programme
- Employee discount
Senior Data Scientist
easyJet —Luton Airport
- Full-time
- Engineering
- Master's degree
- Presentation skills
- Annual leave
Senior Operations Research Scientist
easyJet —Luton Airport
- Full-time
- Hybrid work
- Computer Science
- Machine learning
- Mentoring
- Annual leave
Staff Engineer
Arm —Cambridge
- £97,300 - £131,700 a year
- Hybrid work
- Machine learning
- Agile
2d
Foundation Model Engineer
CommonAI C.I.C. —Cambridge
- Full-time
- Hybrid work
- Master's degree
- Machine learning
- AI
Quick apply
Senior AI Engineer (Full Stack)
Abcam —Cambridge
- Full-time
- Master's degree
- Machine learning
- In-person
- Annual leave
Applied Scientist - LLM, Alexa
Evi Technologies Limited —Cambridge
- Full-time
- Doctoral degree
- Master's degree
- AI
Data Scientist Senior Manager
easyJet —Luton Airport
- Full-time
- Hybrid work
- Machine learning
- Leadership
- Employee discount
C++ AI/ML Software Engineer
HP —Cambridge
- Full-time
- Hybrid work
- Computer Science
- Master's degree
- Bachelor's degree
Senior Machine Learning Engineer
Qureight Ltd —Cambridge
- Full-time
- Hybrid work
- Machine learning
- Communication skills
- Annual leave
- Life insurance
Quick apply
Staff AI Engineer | AI Platform, LLM Applications, RAG, Evaluation & Backend Systems
Nexans —Cambridge
- From £58,068.23 a year
- Part-time
- Master's degree
- AWS
- In-person
- Free parking
Quick apply
1d

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data scientists & statisticians jobs near stansted, ess

AI Engineer Apprentice

QA Apprenticeships -
Brentwood

Apply Now

Job details

Full-time | Apprenticeship
£20,000 - £23,000 a year

Benefits

Paid training
Company pension

Qualifications

Technical troubleshooting
Software troubleshooting
AWS
Scrum
Cloud computing
AI
Communication skills
A Level
Debugging

Full job description

Cloud Combinator is an AWS Advanced Tier Partner that helps businesses adopt AI with confidence. We design, build and deploy production AI solutions on AWS, from agentic AI systems and generative AI applications to modern data platforms, with 40+ AI projects delivered into production. We are also NVIDIA and Anthropic partners, and part of the 3J Group. We are a small, senior, fast-moving team, which means you will work on real client projects from day one.

About the role:

Ready to launch your AI engineering career at the cutting edge? We are looking for an ambitious, motivated AI Engineer apprentice to join our team. You will work alongside senior engineers on live client projects while studying towards the Level 6 AI Engineer apprenticeship, a degree-level qualification delivered virtually by QA and tailored towards the AWS route.

The role is a blend of hands-on technical development, problem-solving and client collaboration, crafted for someone eager to learn fast and contribute to impactful projects. Around six hours per week are protected for apprenticeship learning, applied directly to the work you do with us.

Responsibilities:

AI & cloud engineering: assist in the design, development and deployment of production generative AI and agentic AI solutions on AWS (including Amazon Bedrock) under the guidance of senior engineers, and support our Solution Architects with implementing cloud best practices
Code quality & debugging: write clean, maintainable code and participate in code reviews. Take initiative in debugging, troubleshooting and resolving issues in collaboration with the team
Client collaboration: join client calls, demos and project check-ins. Our engineers are customer-facing, so you will learn to communicate technical work clearly to non-technical audiences
Learning & development: complete your apprenticeship modules (building with GenAI, optimising business processes with AI, AI security and ethics, deep learning and transformers, testing and deployment) and apply them to real projects. Work towards AWS certifications with our support
Agile participation: engage in daily stand-ups, sprint planning and retrospectives, contributing insights to improve team workflows and deliver on time

You will be:

Hands-on with code. Python is our main language, but we care more that you understand what your code is doing. Personal projects or a GitHub profile count as much as commercial experience, none of which is required
Genuinely curious about AI. You have experimented with LLMs, AI coding tools or built something with AI models in your own time, and you can tell us why you want a career in it
Aware of cloud fundamentals. Any AWS exposure is a plus, not a requirement
An effective communicator who values collaboration and is comfortable speaking with clients
A problem-solver who can independently seek out solutions and ask the right questions when needed
Detail-oriented and committed to producing high-quality, reliable work

You will excel in this role if you:

Are driven by learning and applying new technologies quickly and effectively
Thrive in collaborative, dynamic environments and are committed to clear communication and continuous improvement
Have a strong work ethic and take pride in delivering high-quality solutions
Are excited to build a career in AI engineering and want to tackle complex problems with a forward-thinking team

Entry requirements:

Acceptable qualifications include any of:

Two A-levels in one or more similar subject plus B in A-Level maths.
Two A-levels in one or more similar subject plus 2-years work experience in tech.
Level 4 or 5 apprenticeship in a similar technical subject.
International Baccalaureate at Level 3 in a similar subject.
3+ years in a similar subject-related role.
A first degree in a numerate discipline (but excluding Computer Science as not fundable).

You may also have a combination of qualifications and experience which demonstrate the minimum foundation needed for the programme. In this instance you could still be considered for the programme.

If you hold international equivalents of the above qualifications, at the time of your application you must be able to provide an official document that states how your international qualifications compare to the UK qualifications.

For more information please visit the UK ENIC website.

Working hours: 40 hours per week, 7am to 4pm or 8am to 5pm, with 1 hour lunch break

Benefits:

A funded degree-level qualification: the Level 6 AI Engineer apprenticeship delivered by QA, plus access to QA’s full learning platform during the programme and for a year after.
Paid certifications & training: we fund AWS certifications and invest in your technical growth.
Pension scheme: workplace pension.
Team socials & events: a supportive, close-knit team that values learning and knowledge-sharing.
Cutting-edge projects: hands-on exposure to Amazon Bedrock, Claude, and production AI systems used by real customers.

Future prospects:

90% of QA apprentices secure permanent employment after completing: this is 20% higher than the national average.

About QA:

Our apprenticeships are the perfect way to gain new skills, earn while you learn, and launch yourself into an exciting future. With over 50,000 successful apprenticeship graduates, we're a top 50 training provider, dedicated to helping you succeed.

Interested? Apply now!

Apply Now

Refine Your Search

data scientists & statisticians jobs in stansted, ess

AI Engineer Apprentice

Agentic AI Engineer (life sciences)

Data Scientist

AI/ML Research Consultant

Biotech AI/ML Engineer (100 % remote) (m/f/d)

AI Engineer (Advisory)

Machine Learning & AI Materials Scientist

Senior Data Scientist

Software Engineer (Machine Learning)

Senior Data Scientist - 12 Month FTC

Senior Data Scientist

Senior Operations Research Scientist

Staff Engineer

Foundation Model Engineer

Senior AI Engineer (Full Stack)

Applied Scientist - LLM, Alexa

Data Scientist Senior Manager

C++ AI/ML Software Engineer

Senior Machine Learning Engineer

Staff AI Engineer | AI Platform, LLM Applications, RAG, Evaluation & Backend Systems

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