machine learning Work, Jobs in birmingham, eng (with Salaries)

Machine Learning Engineer - Apprentice
Government Commercial Agency —Birmingham
- £29,795 - £33,073 a year
- Full-time
- Presentation skills
- Machine learning
- AI
- Annual leave
- Work from home
2d
AI Apprentice
QA Apprenticeships —Birmingham
- £20,000 a year
- Full-time
- Hybrid work
- Computer literacy
- AI
- Python
EiQ Chief Technology Officer
LRQA group —Birmingham
- AI
Data Scientist - 6m FTC
Stonegate Group —Solihull
- £50,000 - £55,000 a year
- Full-time
- Data analysis skills
- Master's degree
- SQL
- Annual leave
- Employee discount
Quick apply
7d
KTP Associate
Aston University —Birmingham
- £40,000 - £43,000 a year
- Full-time
- Remote
- Doctoral degree
- Computer Science
- Java
- Annual leave
Customer Claims Specialist
Allianz —Birmingham
- £24,000 - £30,000 a year
- Full-time
- Machine learning
- IT
- Communication skills
- Annual leave
- Employee discount
Software Engineer | Associate | Birmingham | 2026
Goldman Sachs —Birmingham
- Full-time
- Computer Science
- DevOps
- Engineering
- Employee assistance programme
Data Analyst
Dains —Birmingham
- Hybrid work
- Data analysis skills
- SQL
- Analysis skills
- Annual leave
Quick apply
Collections Administrator
FICO —Birmingham
- Full-time
- Microsoft Word
- Microsoft Excel
- Oracle
Advanced Research Engineer (AI & Perception Engineer)
The Manufacturing Technology Centre —Coventry
- £43,000 - £50,000 a year
- Full-time
- C++
- Maths
- AI
Quick apply
11d
Full Stack Lead Developer - UX/UI Focused (Web and Digital) - IT Services - 100938 - Grade 8
University of Birmingham —Birmingham
- £47,389 - £63,606 a year
- Full-time
- Azure
- DevOps
- University
- Sick pay
Senior Decision Scientist
Lovey —Birmingham
- £70,000 - £95,000 a year
- Full-time
- Hybrid work
- SQL
- Machine learning
- Python
Quick apply
Junior/Graduate Data Scientist
Friend MTS —Birmingham
- Full-time
- Hybrid work
- Doctoral degree
- Master's degree
- SQL
- Annual leave
- Employee assistance programme
Quick apply
6d
Lead Data Scientist
Capgemini —Birmingham
- Doctoral degree
- Master's degree
- SQL
7d
Product and Proposition Manager
Barclays —Birmingham
- Machine learning
- Financial services
- AI
Marie Skłodowska-Curie Doctoral Researcher x3 (Wind Energy, Power Systems, Artificial Intelligence for Energy Systems) (111530-0426)
University of Warwick —Coventry
- £48,542.72 - £57,710.28 a year
- Engineering
- University
- Bachelor's degree
Data Scientist
Fletchers Solicitors —Birmingham
- Full-time
- Hybrid work
- Azure
- Doctoral degree
- English
- Sick pay
Quick apply
Managing Solution Architect
Capgemini —Birmingham
- Hybrid work
- Azure
- AWS
- Mentoring
8d
Assistant or Associate Professor in Applied Artificial Intelligence (53294-0526)
University of Warwick —Coventry
- £47,389 - £67,468 a year
- Doctoral degree
- Computer Science
- University
Product Owner
Beazley Management Limited —Birmingham
- Computer Science
- Data analysis skills
- Machine learning
- Annual leave

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Machine Learning Engineer - Apprentice

Government Commercial Agency -
Birmingham

Apply Now

Job details

Full-time
£29,795 - £33,073 a year
2 days ago

Benefits

Annual leave
Company pension
Work from home

Qualifications

Presentation skills
Machine learning
AI
Python
A Level

Full job description

Details

Reference number

464526

Salary

£29,795 - £33,073

A Civil Service Pension with an employer contribution of 28.97%

GBP

Job grade

Executive Officer

Band 2

Contract type

Permanent

Type of role

Digital

Working pattern

Full-time

Number of jobs available

Location
About the job
Benefits
Things you need to know
Apply and further information

Location

Birmingham, Liverpool

About the job

Job summary

Insight into GCA - Webinar

Watch our Webinar on the above link and gain valuable insight into GCA and our recruitment processes.

Call to action

Would you like to be a part of a digital transformation journey and be part of a team that is constantly evolving? Do you want to be involved in work that has a meaningful purpose? If yes, then this could be the role for you!

Job Summary

As an Apprentice Machine Learning Engineer youll be focused on developing a foundational understanding of the Machine Learning (ML) life cycle. An essential part of the team, you will support your colleagues in delivering effective, secure, and sustainable ML models, while focusing on learning the fundamentals of the technical infrastructure required to design, train, deploy, and scale these models in products and services.

Job description

Apprenticeship Detail

An Apprenticeship provides work-based, on the job training and development. The training is fully funded so it does not cost you anything and you will earn whilst you learn. They provide you with the skills, knowledge and behaviours you need to be fully effective in a designated role. Therefore, with very few exceptions, you do not need to have related work experience/ qualifications to apply.

Whats important throughout the Apprenticeship is that you put into practice what you learn, and capture evidence of this so your progress and increasing capability can be assessed.

We want you to get the most out of your Apprenticeship. To help you manage your learning well give you over the duration of the Apprenticeship, a minimum of 20% of your paid working hours to focus on skills development. This means you wont be asked to study in your own time. However, both the role and the Apprenticeship are very demanding and youll need to work hard.

You will be assessed throughout and at the end of your Apprenticeship by submitting coursework and End-point assessment.

There is plenty of support and youll be part of a larger apprentice community and where possible well get you involved in apprenticeship related activities, so youll get to know people outside of your own team or Department.

Further information can be found in the apprenticeship standard for this Apprenticeship Standard you should read this to see the skills, knowledge and behaviours you will need to have learned by the end of your apprenticeship:

https://skillsengland.education.gov.uk/apprenticeships/st1398-v1-0

There you can also find a link to the assessment plan. This will give you details of how the apprenticeship is assessed.

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.

Please Note:

If you dont meet the above apprenticeship criteria we cannot progress your application for this role.
If you are not sure whether or not you meet the criteria please contact [email protected]

Key Accountabilities:

Design, prototype, and test machine learning models.
Run experiments to improve performance of AI systems and large language models.
Help build and manage tools for evaluating and deploying AI solutions.
Monitor and support production AI systems to ensure they run smoothly.
Work with teams across the business to align AI projects with real-world goals.
Stay up to date with AI trends and contribute fresh ideas.

Person specification

Essential Criteria (to be assessed at application stage):

Some experience or knowledge in software, data, or tech-related fields.
Python skills and interest in machine learning tools and frameworks.
Curious about large language models (LLMs), prompt engineering, or AI evaluation.
Eager to learn and grow in a fast-paced tech role.
Passionate about AI, data, and innovation.

Behaviours

We'll assess you against these behaviours during the selection process:

Delivering at Pace
Making Effective Decisions
Changing and Improving

Technical skills

We'll assess you against these technical skills during the selection process:

Ability to demonstrate a basic knowledge of, and ability to use, the Industry standard AI / ML programming language(s) and libraries (to be assessed via presentation at interview)

Benefits

Alongside your salary of £29,795, Government Commercial Agency contributes £8,631 towards you being a member of the Civil Service Defined Benefit Pension scheme. Find out what benefits a Civil Service Pension provides.

Valuing our people:

Competitive salary
Generous pension scheme
A discretionary non-contractual performance related bonus
Working remotely in addition to working in advertised office location
Flexi time scheme (available for B1-B6)
Minimum 25 days annual leave to a maximum service related 30 days excluding bank holidays

Want to make a difference? Find out more about the rewarding work that we do in our candidate pack.

The Civil Service is committed to attract, retain and invest in talent wherever it is found. To learn more please see the Civil Service People Plan and the Civil Service D&I Strategy.

We want to make our recruitment process accessible to everyone, so if there is any way that we can support you, please contact [email protected]

Working flexibly, delivering outcomes

GCA operates a smarter working model that balances flexibility with collaboration. Successful candidates are expected to spend at least 26 days per quarter (approximately 2 days per week, pro-rata) at their contracted office, another GCA site, or off-site for meetings. For the remainder of the time, you may work from home or another suitable location that meets business needs.

Things you need to know

Artificial intelligence

Artificial intelligence can be a useful tool to support your application, however, all examples and statements provided must be truthful, factually accurate and taken directly from your own experience. Where plagiarism has been identified (presenting the ideas and experiences of others, or generated by artificial intelligence, as your own) applications may be withdrawn and internal candidates may be subject to disciplinary action. Please see our candidate guidance for more information on appropriate and inappropriate use.

Selection process details

This vacancy is using Success Profiles , and will assess your Behaviours, Experience and Technical skills.

Selection Process

A reserve list may be held for up to 12 months, which the Civil Service may use to fill future suitably similar vacancies across government for candidates who are considered appointable following interview. Should you be placed on a reserve list and want to be removed please contact [email protected].

Please note that as part of this recruitment process, if you are unsuccessful at the interview stage but are close to the benchmark score you may be considered for and offered a role at a lower pay band within the same job family.

Please note if successful at sift there will be a requirement to do a presentation at interview.

#GCAIND

Feedback will only be provided if you attend an interview or assessment.

Security

Successful candidates must undergo a criminal record check.

Successful candidates must meet the security requirements before they can be appointed. The level of security needed is counter-terrorist check .

See our vetting charter .

People working with government assets must complete baseline personnel security standard (opens in new window) checks.

Nationality requirements

This job is broadly open to the following groups:

UK nationals
nationals of the Republic of Ireland
nationals of Commonwealth countries who have the right to work in the UK
nationals of the EU, Switzerland, Norway, Iceland or Liechtenstein and family members of those nationalities with settled or pre-settled status under the European Union Settlement Scheme (EUSS)
nationals of the EU, Switzerland, Norway, Iceland or Liechtenstein and family members of those nationalities who have made a valid application for settled or pre-settled status under the European Union Settlement Scheme (EUSS)
individuals with limited leave to remain or indefinite leave to remain who were eligible to apply for EUSS on or before 31 December 2020
Turkish nationals, and certain family members of Turkish nationals, who have accrued the right to work in the Civil Service

Further information on nationality requirements

Working for the Civil Service

The Civil Service Code sets out the standards of behaviour expected of civil servants.

We recruit by merit on the basis of fair and open competition, as outlined in the Civil Service Commission's recruitment principles .

The Civil Service embraces diversity and promotes equal opportunities. As such, we run a Disability Confident Scheme (DCS) for candidates with disabilities who meet the minimum selection criteria.

Diversity and Inclusion

The Civil Service is committed to attract, retain and invest in talent wherever it is found. To learn more please see the Civil Service People Plan and the Civil Service Diversity and Inclusion Strategy .

Apply and further information

This vacancy is part of the Great Place to Work for Veterans initiative.

Once this job has closed, the job advert will no longer be available. You may want to save a copy for your records.

Contact point for applicants

Job contact :

Name : Recruitment team
Email : [email protected]

Recruitment team

Email : [email protected]

Further information

Our recruitment processes are underpinned by the principle of selection for appointment on merit on the basis of fair and open competition as outlined in the Civil Service Commissioners Recruitment Principles details of which can be found at http://civilservicecommission.independent.gov.uk
If you feel your application has not been treated in accordance with the Recruitment Principles, and you wish to make a complaint, you should contact [email protected] in the first instance.
If you remain unsatisfied with the response you receive you can then contact the Civil Service Commission at [email protected]

https://www.gca.gov.uk/careers-with-gca

Apply Now

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About the job

Job summary

Job description

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Benefits

Things you need to know

Artificial intelligence

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#GCAIND

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Working for the Civil Service

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