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Regent College London

Weekend Lecturer in Computer Science

London
£27k – £30k/yr
Posted about 22 hours ago
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Role: Weekend Lecturer (Computer Science)

Location: All London Based Campuses including Central London, Wembley, Kingsbury, Harrow (Rayners Lane) and Southall

Salary: Up to £30,000 per annum subject to skills and experience (pro rata for 24 hours/week over three days, based on a full-time equivalent of £50,000)

Hours of work: Saturday and Sunday teaching on our Campus with an additional day in the week on campus.

Start Date: January 2027

Regent College London is seeking an experienced and passionate Weekend Lecturer in Computing Science to join our growing academic team. If you're dedicated to student success, thrive in a hybrid teaching environment, and want to shape the next generation of Computer Science professionals, we want to hear from you!

About Us

Regent College London is a leading independent higher education provider, offering flexible and inclusive learning across multiple London campuses. We are student-focused, digitally forward, and committed to academic excellence.

The Role

As a Lecturer, you will play a key role in designing, developing, and delivering engaging teaching across a range of Computer Science modules. You'll support students both in person and online, contribute to assessment and quality assurance, and be involved in scholarship and continuous curriculum improvement. You will deliver and support modules in the Computer Science related disciplines some of these are as follows:

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  • Advanced Programming in C#
  • Data Structures and Algorithms in Java
  • Databases using SQL
  • Advanced Databases and Big Data using Python
  • Web Design Programming using ASP .Net Core
  • Cloud Computing
  • Applied Machine Learning using Python

Key Responsibilities

  • Deliver lectures, seminars, and tutorials in line with curriculum standards
  • Develop and update teaching materials and maintain digital learning platforms
  • Set, assess, and provide feedback on student assignments and exams
  • Support students academically and pastorally, including those with learning support needs
  • Engage with quality assurance processes, contribute to module and programme evaluations
  • Collaborate with colleagues to enhance student engagement and learning outcomes
  • Lead modules and coordinate with associate lecturers where applicable

What We’re Looking For

Essential:

  • A Master's degree in a relevant Computer Science related field
  • Experience teaching in Higher Education, with strong digital teaching capability
  • Excellent communication and interpersonal skills
  • Knowledge of HE quality assurance and validation processes
  • A flexible, student-focused approach and commitment to continuous improvement
  • Willingness to work towards a teaching qualification (if not already held)

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Desirable:

  • PhD (or near completion) or equivalent industry experience
  • Research or enterprise activity involvement
  • Teaching qualification (FHEA, SHEA, PGCAP, AHEA)
  • Experience leading modules or academic teams

What We Offer (some benefits subject to completion of successful probation)

  • Health Benefits
  • Life Assurance Plans
  • Salary Sacrifice Schemes (Pension, Cars, Cycle to Work)
  • Annual Leave & Holiday Benefits (Buy Holiday, Additional Christmas Leave & Carry Over Leave)
  • Employee Assistance Plan (EAP) & 24/7 Access to GPs
  • Employee Discounts (Gym, Shopping, Cinema)

Working Hours & Flexibility

  • 40 hours per week (schedule may include evenings and weekends)
  • Must be flexible to travel to all our campus locations

Apply Now!

Join us in shaping a future where education is accessible, student-centred, and professionally enriching.

Submit your application today to start making a meaningful impact from January 2027

Compliance Statement

Successful applicants will be required to complete pre-employment checks, including a criminal records check, two references, ID and Right to Work verification, and education confirmation. We are an equal opportunity employer and value diversity and inclusion, selection for employment is based solely on an individual’s skills, qualifications, and experience relevant to the role.

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Skills

Computer science
C#
Java
SQL
Python
ASP.NET Core
Cloud computing
Machine learning
Higher education teaching
Curriculum development
Quality assurance
Student assessment
Digital learning platforms
Academic support
Communication skills

Location

London, England, United Kingdom

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