Machine learning Work, Jobs in Kirkliston, Edh (with Salaries)

Research Associate
University of Edinburgh —Edinburgh
- Full-time
- Hybrid work
- Research
- University
- Machine learning
- Annual leave
- Employee discount
Data Consultant (Edinburgh)
Auticon —Edinburgh
- £25,000 - £40,000 a year
- Hybrid work
- Doctoral degree
- Annual leave
Digital Development Officer x 2
Falkirk Council —Larbert
- £39,375 - £43,426 a year
- Computer Science
- Analysis skills
- Machine learning
12d
Go-to-Market - Edinburgh, United Kingdom
Speechify —Edinburgh
- Remote
- Machine learning
- APIs
- AI
Senior Software Engineer - Machine Learning (Marketplace Dynamics) (Remote - United Kingdom)
Yelp —Edinburgh
- Full-time
- Remote
- Research
- Machine learning
- Employee stock purchase plan
- Annual leave
Data Scientist
Optos —Dunfermline
- Doctoral degree
- Computer Science
- Engineering
Postdoctoral Research Associate
University of Edinburgh —Edinburgh
- Full-time
- Doctoral degree
- Research
- University
- Annual leave
- Employee discount
10d
Vice President, Artificial Intelligence & Machine Learning Engineer
BlackRock Investments —Edinburgh
- Hybrid work
- Machine learning
- In-person
- AI
- Work from home
6d
Software Development Engineer, Intelligent Talent Acquisition - Lead Generation & Detection Services
Amazon Development Centre (Scotland) Limited —Edinburgh
- Full-time
- Computer Science
- Bachelor's degree
- Software development
Director, Artificial Intelligence & Machine Learning Engineer
BlackRock Investments —Edinburgh
- Hybrid work
- Machine learning
- In-person
- AI
- Work from home
10d
Full Stack Developer Python-React
Talan —Edinburgh
- Full-time
- Hybrid work
- Machine learning
- AI
- Communication skills
Quick apply
Algorithms Engineer
SeeByte —Edinburgh
- Doctoral degree
- Engineering
- Master's degree
Senior Back End Software Engineer
Motorola Solutions —Edinburgh
- Full-time
- Machine learning
- AI
- Employee stock purchase plan
- Employee assistance programme
Grid Insights Architect
Analog Devices —Edinburgh
- Full-time
- Doctoral degree
- Computer Science
- Engineering
Senior R&D Engineer, Software
Keysight Technologies, Inc. —Edinburgh
- Part-time
- Computer Science
- Software troubleshooting
- Engineering
Applied Scientist, Intelligent Talent Acquisition - Lead Generation & Detection Services
Amazon Development Centre (Scotland) Limited —Edinburgh
- Full-time
- Doctoral degree
- Computer Science
- English
Engineering Manager
SeeByte —Edinburgh
- Hybrid work
- Engineering
- Continuous improvement
- Team management
13d
Lead Information Security Analyst, GRC
Cirrus Logic —Edinburgh
- Full-time
- Hybrid work
- Analysis skills
- Bachelor's degree
- AI
- Work from home
Product Development Transformation Lead, Vice President
Citi —Edinburgh
- Full-time
- Hybrid work
- Master's degree
- Analysis skills
- Bachelor's degree
Senior/Lead Quality Engineer - Chatbot
Mimica —Edinburgh
- Full-time
- Remote
- Master's degree
- Mentoring
- AI
- Annual leave
- Flexible schedule

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machine learning jobs near kirkliston, edh

Research Associate

University of Edinburgh -
Edinburgh

Apply Now

Job details

Full-time

Benefits

Annual leave
Company pension
Employee discount

Qualifications

Research
Machine learning
Machine learning modelling
AI

Full job description

UE07: £41,064 - £48,822 per annum

CSE / School of Informatics

Full Time: 35 hours per week

Fixed term: 14 Months

Vacancies available: 5

The School of Informatics at the University of Edinburgh invites applications for several Post-Doctoral Research Associates (PDRAs), to do research on novel architectures for Large Language Models, under the supervision of Professors Frank Keller, Mirella Lapata, Amos Storkey, and Ivan Titov.

The Opportunity

Five positions are part of the Science of Fundamental AI Research (SOFAIR) Lab, a partnership between UCL and the Universities of Cambridge, Edinburgh, and Oxford. SOFAIR is one of two new national AI research labs funded as part of a £60 million investment from UK Research and Innovation (UKRI). SOFAIR will bring together researchers from across computer science, mathematics, statistics and neuroscience to explore new AI architectures and those designed to run on widely available hardware. This will mean cutting-edge AI will be more widely accessible for everyone, including researchers and institutions.

The PDRAs will be part of the School of Informatics, University of Edinburgh, which is ranked among the top schools in Europe for AI research according to CSRankings . They will be supervised by Professors Frank Keller, Mirella Lapata, Amos Storke, and Ivan Titov, who are leaders in NLP, machine learning, and cognitive modeling. The job holders will collaborate closely with the SOFAIR partners at UCL, Cambridge, and Oxford.

The PDRAs will be responsible for developing new fundamental AI modelling and learning methods that go beyond standard transformers and next-token prediction. The work will explore modular, compositional and compute-adaptive models, including architectures and learning paradigms inspired by neurobiology. The work will also investigate sparse or structured reasoning and new training approaches, such as reinforcement-learning hybrids and gradient-free methods. A central goal of SOFAIR is to improve reasoning, efficiency and interpretability while enabling training and inference across heterogeneous, distributed, small-memory hardware. Specific duties will include designing and implementing novel model architectures, developing scalable training algorithms, and conducting controlled experiments to evaluate reasoning, efficiency, interpretability, and generalisation. The post holders will train and benchmark large models using multi-GPU and distributed-computing infrastructure, including the IsambardAI supercomputer, and will be expected to develop robust research code, analyse model behaviour, and disseminate findings through publications and presentations.

These positions include funding for international travel to attend conferences as well as a dedicated compute allocation on IsambardAI, the UK’s national AI supercomputer comprising over 5000 Nvidia GH200 GPUs. The position is open to UK and international applicants, with visa sponsorship available. This post is advertised as full-time (35 hours per week); however, we are open to considering part-time or flexible working patterns. We are also open to considering requests for hybrid working (on a non-contractual basis) that combines a mix of remote and regular on-campus working.

View the full job description

How to apply

Please include the following documents in your application:

CV
A 1-page cover letter
A 2-page research statement that highlights how you’re the past experience and current interests align with this position and the work in SOFAIR

Applications without the above material will be rejected.

As a valued member of our team, you can expect:

A competitive salary.
An exciting, positive, creative, challenging and rewarding place to work.
To be part of a diverse and vibrant international community.
Comprehensive Staff Benefits, including generous annual leave entitlement, a defined benefits pension scheme, a wide range of staff discounts, family-friendly initiatives, and flexible work options. Check out the full list on our staff benefits page (opens in a new tab) and use our reward calculator to discover the value of your pay and benefits.

Championing equality, diversity, and inclusion:

The University of Edinburgh holds a Silver Athena SWAN award in recognition of our commitment to advance gender equality in higher education. We are members of the Race Equality Charter, and we are also a Stonewall Proud Employer, actively promoting LGBTQ+ equality.

We welcome applications from all qualified candidates and particularly encourage applications from [insert demographic(s)] candidates, as we acknowledge they are currently underrepresented in our area/team/at this level.

Prior to any employment commencing with the University, you will be required to evidence your right to work in the UK. Further information is available on our right to work webpages (opens new browser tab)

The University may be able to sponsor the employment of international workers in this role. This will depend on a number of factors specific to the successful applicant.

Key dates to note:

The closing date for applications is 7 September 2026.

Unless stated otherwise the closing time for applications is 11:59pm UK time. If you are applying outside the UK the closing time on our adverts automatically adjusts to your browsers local time zone.

Interviews will be held on a rolling basis.

Apply Now

Refine Your Search

machine learning jobs in kirkliston, edh

Research Associate

Data Consultant (Edinburgh)

Digital Development Officer x 2

Go-to-Market - Edinburgh, United Kingdom

Senior Software Engineer - Machine Learning (Marketplace Dynamics) (Remote - United Kingdom)

Data Scientist

Postdoctoral Research Associate

Vice President, Artificial Intelligence & Machine Learning Engineer

Software Development Engineer, Intelligent Talent Acquisition - Lead Generation & Detection Services

Director, Artificial Intelligence & Machine Learning Engineer

Full Stack Developer Python-React

Algorithms Engineer

Senior Back End Software Engineer

Grid Insights Architect

Senior R&D Engineer, Software

Applied Scientist, Intelligent Talent Acquisition - Lead Generation & Detection Services

Engineering Manager

Lead Information Security Analyst, GRC

Product Development Transformation Lead, Vice President

Senior/Lead Quality Engineer - Chatbot

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