Machine learning Work, Jobs in Canford Heath, Dor (with Salaries)

Post Doctoral Research Assistant (FRAME) (Fixed-Term, x2 Posts Available)
Bournemouth University —Bournemouth
- £34,610 - £43,482 a year
- Doctoral degree
- Research
- Machine learning
Customer Account Representative
Eaton —Wimborne
- Hybrid work
- Microsoft Word
- CRM software
- Writing skills
Project Manager - Aerospace & Defence
Eaton —Wimborne
- Conflict management
- Contracts
- Leadership
12d
Software Engineer II - Full Stack React/Java Developer
JPMorganChase —Bournemouth
- Full-time
- Software troubleshooting
- Agile
- AI
AI & Automation Developer
Draken —Bournemouth
- SharePoint
- AI
- Communication skills
Manufacturing Engineer
Eaton —Wimborne
- Full-time
- Writing skills
- Engineering
- ERP systems
Buyer
Eaton —Wimborne
- No degree
- Business
- Negotiation
Applied AI ML Lead - Senior Data Scientist
JPMorganChase —Bournemouth
- Full-time
- Doctoral degree
- Computer Science
- Master's degree
Business Manager Associate
JPMorganChase —Bournemouth
- Weekend availability
- Machine learning
- AI
- Banking
13d
Group Chief Risk Officer
Trust Payments —Bournemouth
- Hybrid work
- Organisational skills
- Communication skills
- Time management
Software Engineer III - UAT, Payments
JPMorganChase —Bournemouth
- Full-time
- Microsoft Powerpoint
- Software troubleshooting
- Software development
Lead Software Engineer - Cloud/Java-Python/AI-ML
JPMorganChase —Bournemouth
- Full-time
- Master's degree
- AWS
- Machine learning
Software Engineer III - Cloud/Java-Python/AI-ML
JPMorganChase —Bournemouth
- Full-time
- Scripting
- Software development
- AI
13d
Software Engineer III - Java
JPMorganChase —Bournemouth
- Full-time
- Software troubleshooting
- Software development
- Agile
6d
Software Engineer II - Java, AWS
JPMorganChase —Bournemouth
- Full-time
- Software troubleshooting
- Software development
- Agile
Principal Technologist – Uncrewed Systems
Callen-Lenz —Salisbury
- From £70,000 a year
- Full-time
- Hybrid work
- Doctoral degree
- Computer Science
- Engineering
- Annual leave
Senior Software Engineer
Leonardo UK Ltd —Southampton
- Full-time
- Hybrid work
- No experience needed
- Software development
- Agile
- Annual leave
- Flexible schedule
6d
Chief Systems Engineer
Leonardo UK Ltd —Southampton
- Full-time
- Hybrid work
- Leadership
- Communication skills
- Flexible schedule
- Referral programme

More jobs to discover

Find similar jobs that you might be interested in.

JUNIOR SALES ADVISOR
Verisure Services (UK) Limited —Southsea
No sales experience required - we provide one of the best sales training programmes. One of the best sales training programmes!
£3,800 a month
Quick apply
JUNIOR SALES CONSULTANT
Verisure Services (UK) Limited —Southampton
Develop your portfolio of customers through a mix of customers provided by our marketing call centre, and your own field prospecting activities.
£3,800 a month
Quick apply

I want to receive the latest job alerts for machine learning in canford heath, dor

By signing in to your account, you agree to SimplyHired's Terms of Service and consent to our Cookie and Privacy Policy.

Post Doctoral Research Assistant (FRAME) (Fixed-Term, x2 Posts Available)

Bournemouth University -
Bournemouth

Apply Now

Job details

Fixed term contract
£34,610 - £43,482 a year

Qualifications

Doctoral degree
Research
Machine learning
AI
Communication skills

Full job description

All Locations

Weymouth House (Bournemouth - Talbot)

All Locations is a required field

All Departments

Computing and Informatics

All Departments is a required field

Advertising Salary

Salary from £34,610 - £39,906 per annum (pro rata) with progression opportunities to £43,482

Vacancy Type

Fixed Term

Function

Academic

Closing Date

30 Aug 2026

Basis

Full Time

About the role

We are seeking to fill one position to undertake directed research activity as part of an EU project called FRAME (A Model-Based Foundry for Engineering, Adapting, and Assuring the Quality of AI Agents) under the direction of Prof Hamid Bouchachia. The project will deliver the engineering abstractions, methods and tools needed to support reliable, scalable end-to-end development, deployment and evolution of AI agents. By establishing foundations for trustworthy agent engineering, FRAME will enable productivity, adaptability, self-improvement, reliability and foster large-scale adoption. FRAME’s will be validated on real-world use cases (robotics, healthcare and software development frameworks).

The research associate will be affiliated with the Data Science & Intelligent Systems based in the Computing & Engineering Department. The group is very dynamic, ambitious, well networked and delivers state-of-the-art research in a range of machine learning and data science topics, publishing research results in prestigious venues.

We are looking for an individual with a talented and enthusiastic post-doctoral researcher who will join our team working on next-generation agentic systems capable of adapting to dynamic environments. The research work focuses on understanding and addressing the challenge of evolving real-world data over time and open-end learning in the context of self-adaptive and self-improving AI agents contributing to the development of methods for monitoring model behaviour, continuous evaluation, and improvement of agents across different training stages (e.g., pre-training and fine-tuning).

Depending on background, the applicant will pick one of the following topics:

Developing novel indicators to capture distribution shifts, forgetting, transfer loss, etc. to monitor agent’s model performance and designing methods to recommend self-improvement strategies based on such system performance indicators.

Evaluation of the effectiveness of different adaptation strategies under varying conditions, investigating and leveraging meta-learning and knowledge-driven approaches to guide dynamic selection of self-improvement techniques in response to evolving system requirements.

Development and evaluation of continual learning techniques (e.g., continual pre-training, domain-adaptive pre-training, fine-tuning) and exploration of adaptive mechanisms for rapid adjustment, strategic retraining, and modular updates without full system redesign

This is an excellent opportunity to gain hands-on experience in, among other topics, evolving agentic systems, continual learning, model robustness, and adaptive AI systems. The applicant should be holder of a PhD in artificial intelligence/machine learning and possess excellent background in agentic systems, large language models and/or continual learning besides analytical, programming, communication and scientific writing skills contributing effectively and competently to the delivery of

FRAME by designing and conducting the proposed research and producing published outputs.

The successful candidate will have access to funding for international travel, e.g., for attending conferences, attending the consortium meetings, and research dissemination, while working in a supportive, collaborative, inclusive and non-discriminating working environment. We welcome candidates from all backgrounds to apply

Please append to your CV (including publication list) and your formal application form, a max 2-page motivation letter to explain how your profile fits the open position.

For further information or discussion, please contact Hamid Bouchachia - [email protected].

Both positions are available on a fixed-term basis for 15 months & 16 months.

About the department

Our vibrant Faculty of Media, Science & Technology encompasses a wide range of disciplines across four Schools: the School of Computing & Engineering, the National Centre for Computer Animation, The Media School and the School of Psychology. The breadth of subject areas in the Faculty means our cutting-edge research is delivering real benefits to digital creative industries, simulation domains, cyber security, human centred artificial intelligence, cognitive science and many others. Our staff base includes high profile researchers who are involved in both UK and global consortia of externally funded collaborations, furthering knowledge in the aforementioned areas plus many more, thus providing significant impact to the economy as well as society and, ultimately, the quality of living across the globe.

About us

Bournemouth University’s vision is worldwide recognition as a leading university for inspiring learning, advancing knowledge and enriching society through the fusion of education, research and practice. Our highly skilled and creative workforce is comprised of individuals drawn from a broad cross section of the globe, who reflect a variety of backgrounds, talents, perspectives and experiences that help to build our global learning community.

BU values and is committed to an inclusive working environment. We seek a diverse community through attracting, developing and retaining staff from different backgrounds to contribute to inspirational learning, advancing knowledge and enriching society. To support and enable our staff to achieve a balance between work and their personal lives, we will also consider proposals for flexible working or job share arrangements.

A job description for this position is available at the top of this page. If you require this in a different format, please contact us at [email protected].

Apply Now

Refine Your Search

machine learning jobs in canford heath, dor

Post Doctoral Research Assistant (FRAME) (Fixed-Term, x2 Posts Available)

Customer Account Representative

Project Manager - Aerospace & Defence

Software Engineer II - Full Stack React/Java Developer

AI & Automation Developer

Manufacturing Engineer

Buyer

Applied AI ML Lead - Senior Data Scientist

Business Manager Associate

Group Chief Risk Officer

Software Engineer III - UAT, Payments

Lead Software Engineer - Cloud/Java-Python/AI-ML

Software Engineer III - Cloud/Java-Python/AI-ML

Software Engineer III - Java

Software Engineer II - Java, AWS

Principal Technologist – Uncrewed Systems

Senior Software Engineer

Chief Systems Engineer

More jobs to discover

I want to receive the latest job alerts for machine learning in canford heath, dor

Explore jobs in more locations

About the role

About the department

About us

Jobseeker tools

Employer Tools

Browse

Stay Connected