Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Lecturer in Computing & ICT

Harrow on the Hill
7 months ago
Applications closed

Related Jobs

View all jobs

Lecturer in Computer and Data Science (160-25)

Lecturer in Computer and Data Science

Senior Lecturer in Data Science

2 Senior Lecturer / Lecturer (Asst Prof) and other positions in Machine Learning in Manchester, UK

Lead Subject Expert - Data Science (10+ years experience)

Subject Matter Expert - Data Science (Contractor Opportunity, Part-Time)

RT28 - Lecturer in Computing & ICT

Salary: £32,455 - £45,260 Per Annum

Location: Harrow, London

Overview

First Military Recruitment are currently seeking a full time Lecturer on behalf of one of our renowned clients, to deliver across a range of Computing courses, from Level 2 to Level 5, including delivery of T level qualifications. You will possess a degree in a Computing subject, together with some teaching experience. If you do not currently possess an advanced level teaching qualification recognised by the FE sector, you will be supported to obtain one, supported financially in full by the College.

Duties & Responsibilities

Teach across a variety of Computing and ICT programmes from Level 1 to Level 5.
Prepare schemes of work, lesson plans and resource materials for teaching programmes.
Utilise IT and learning technology to deliver elements of the curriculum.
Prepare assessment plans and schedules and ensure students are aware of your expectations.
Assess students’ progress regularly including the timely marking of work and giving feedback, both written and oral.
To ensure that students attend and achieve on all areas of their study programmes including maths, English and work experience.
Promote Equal Opportunities and implement the College’s Equal Opportunities Policy.
Provide a secure, safe and friendly learning environment including implementation of College’s Health & Safety Policy and Safeguarding Policy.
Skills & Qualifications

Computer Games Development.
Power BI.
Cloud Storage and Tools.
Big Data and Business Analytics.
Artificial Intelligence and Machine Learning.
Networking and Cyber Security.
Programming (C++, Java, Python).
Teaching experience in the relevant subject area.
Experience of working in the IT/Computing industry.
Teaching experience in delivery on BTEC Programmes.
Ability to engage with and inspire vocational learners aged 16-19.
Good communication skills, written and verbal.
Good administrative/organisational skills.
Understanding of and commitment to Equal Opportunities and Safeguarding in an education environment.
Awareness of and sensitivity towards the different learning needs of students.
Commitment to learners and learner achievement.
Benefits

Salary progression.
Internal promotion.
Teacher pension.
Subsidised membership at on site fitness centres.
Free parking across all campuses.
Dental insurance.
Enhanced maternity/paternity leave.
Teacher pension.
Public transport season ticket loan scheme.
Salary: £32,455 - £45,260 Per Annum

Location: Harrow, London

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

How to Write an AI CV that Beats ATS (UK examples)

Writing an AI CV for the UK market is about clarity, credibility, and alignment. Recruiters spend seconds scanning the top third of your CV, while Applicant Tracking Systems (ATS) check for relevant skills & recent impact. Your goal is to make both happy without gimmicks: plain structure, sharp evidence, and links that prove you can ship to production. This guide shows you exactly how to do that. You’ll get a clean CV anatomy, a phrase bank for measurable bullets, GitHub & portfolio tips, and three copy-ready UK examples (junior, mid, research). Paste the structure, replace the details, and tailor to each job ad.

AI Recruitment Trends 2025 (UK): What Job Seekers Must Know About Today’s Hiring Process

Summary: UK AI hiring has shifted from titles & puzzle rounds to skills, portfolios, evals, safety, governance & measurable business impact. This guide explains what’s changed, what to expect in interviews, and how to prepare—especially for LLM application, MLOps/platform, data science, AI product & safety roles. Who this is for: AI/ML engineers, LLM engineers, data scientists, MLOps/platform engineers, AI product managers, applied researchers & safety/governance specialists targeting roles in the UK.

Why AI Careers in the UK Are Becoming More Multidisciplinary

Artificial intelligence is no longer a single-discipline pursuit. In the UK, employers increasingly want talent that can code and communicate, model and manage risk, experiment and empathise. That shift is reshaping job descriptions, training pathways & career progression. AI is touching regulated sectors, sensitive user journeys & public services — so the work now sits at the crossroads of computer science, law, ethics, psychology, linguistics & design. This isn’t a buzzword-driven change. It’s happening because real systems are deployed in the wild where people have rights, needs, habits & constraints. As models move from lab demos to products that diagnose, advise, detect fraud, personalise education or generate media, teams must align performance with accountability, safety & usability. The UK’s maturing AI ecosystem — from startups to FTSE 100s, consultancies, the public sector & universities — is responding by hiring multidisciplinary teams who can anticipate social impact as confidently as they ship features. Below, we unpack the forces behind this change, spotlight five disciplines now fused with AI roles, show what it means for UK job-seekers & employers, and map practical steps to future-proof your CV.