What Guides Jobs are in the United Kingdom?

Bunnahabhain Distillery, home to one of Islay's most distinctive single malts, is looking for enthusiastic Seasonal Tour Guides to join their Visitor Experience team for the season.

Based in the picturesque island of Islay, Bunnahabhain is a working site, where you will experience firsthand the Distillers at work ensuring the magic comes alive. Bunnahabhain is situated on the Northeastern shores .

ZIPC1_UKTJ

The Estée Lauder Companies Inc. is seeking a Clinique Consultant in Wilmslow, England. In this role, you will create exceptional customer experiences while selling market-leading skincare, makeup, and fragrance products. You must be passionate about providing personalized service and understanding clients' skin and makeup needs.

Ideal candidates have a background in retail or customer service, with a desire to uphold Clinique's standards of quality and care. The position offers competitive salary, commission, and product discounts.

Applications are invited for a PhD student to work on machine-learning guided and verifiably correct code generation.

Creating optimised libraries is a difficult and time-consuming task, requiring significant manual engineering effort. This process must be repeated for each new processor to take advantage of additional features, especially when it implements the latest architecture with new instructions or significant new architectural extensions, like Arm's SVE and SME. However, advances in machine learning point towards a low-cost solution to this task by automating code generation through a series of provably correct steps. A machine-learning model will guide the search for optimised code sequences, learning the best instructions to use for given intermediate code fragments and alleviating manual engineering effort.

The successful candidate will develop new code-generation strategies using machine-learning models and verification tools, suitable for deployment by library writers within the compilation toolchain, working closely with project partner, Arm.

We seek candidates with a strong background in Computer Science (1st class honours degree or equivalent, although a Master's is particularly desirable) with a particular interest in compilers or binary modification tools and machine learning. Experience of writing code for a tool such as LLVM or DynamoRIO would be helpful, as would familiarity with working in teams with robust engineering practices (version control, continuous integration, automated testing).

Non-UK applicants may apply but will be expected to arrange the balance between the home rate and overseas rate fees themselves. Note that this studentship does not include the immigration health surcharge or visa costs.

Full details of the University's entrance requirements and scholarships are specified on the following link:

Please make your application through the University Application Portal:

Smart Dental Care in Liverpool is seeking an experienced Implantologist Associate Dentist to join their Croxteth practice. This part-time role allows for a minimum of one day per week, offering flexibility as demand increases.

The successful candidate will be responsible for delivering advanced implant surgery and treatment planning while maintaining high clinical standards in a supportive environment.

Applicants should possess GDC Registration and significant experience in implant dentistry. This position promotes a collaborative atmosphere with modern clinical facilities.

Join Foster South Glos as a Parent & Child Foster Carer, supporting families in nurturing environments. Your role involves guiding parents to develop vital skills for independent childcare while safeguarding children’s wellbeing.

Each placement is unique, typically lasting around 12 weeks, and your responsibilities include observing progress and collaborating with professionals. Diverse backgrounds are welcomed.

Overview

Applications are invited for a PhD student to work on machine‑learning guided and verifiably correct code generation.

Creating optimised libraries is a difficult and time‑consuming task, requiring significant manual engineering effort. This process must be repeated for each new processor to take advantage of additional features, especially when it implements the latest architecture with new instructions or significant new architectural extensions, like Arm's SVE and SME. However, advances in machine learning point towards a low‑cost solution to this task by automating code generation through a series of provably correct steps. A machine‑learning model will guide the search for optimised code sequences, learning the best instructions to use for given intermediate code fragments and alleviating manual engineering effort.

The successful candidate will develop new code‑generation strategies using machine‑learning models and verification tools, suitable for deployment by library writers within the compilation toolchain, working closely with project partner, Arm.

• Develop new code‑generation strategies guided by machine‑learning models and verification tools.
• Deploy optimized code sequences within the compilation toolchain for library writers.
• Collaborate closely with the project partner, Arm.
• Apply provably correct methods to automate code generation for new processor architectures.
• Work collaboratively using robust engineering practices such as version control, continuous integration, and automated testing.

• Strong background in Computer Science (1st class honours degree or equivalent; a Master's is particularly desirable).
• Interest and knowledge in compilers or binary modification tools and machine learning.
• Experience writing code for tools such as LLVM or DynamoRIO.
• Familiarity with teamwork and robust engineering practices.