Computing Lecturer inc. Dissertation Supervision, Birmingham

QA
Birmingham
4 months ago
Applications closed

Related Jobs

View all jobs

Computing Lecturer

Lecturer in Computing & ICT

Computing Trainer (Full Training Provided)

Advanced Computing Specialist

Mathematical and Statistical Modellers

Mechanical Design Engineer

Lecturer in ComputingQA Higher Education, Full Time Role Face2Face or blended LOCATION London or Birmingham or ManchesterAre you a Higher Education Lecturer in Computing looking for a role within a dynamic organisation, where you can be proud and feel rewarded watching our students succeed? We have an exciting opportunity to be part of our growing and expanding campus. We are student centric and very passionate about our contribution to our students' future ………come join us!Your focus: As Lecturer, you will be responsible for our students' progression and academic achievement up to level 7 (postgraduate). Planning, preparing, teaching modules both online and in the classroom using our innovative delivery methods and cutting-edge curriculum. You will provide guidance and support to our students with your knowledge and expertise, powering each student's potential. Bring your experience: Applicants should have suitable and relative experience in teaching general programming (e.g., Python) and with at least one speciality such as Cloud Computing or Web Development or Mobile Development or HCI/UX Networking or IOT or Cyber Security or Data Science or Big Data or DBMS or Relational Programming or Artificial Intelligence or Knowledge Engineering or Deep Learning or Information Systems. Must hold a Masters degree or higher in Computer Science/IT or related subject areas. A teaching qualification and HEA membership would be distinct advantageous.Significant experience in face-to-...

Get the latest insights and jobs direct. Sign up for our newsletter.

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

Industry Insights

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

Careers

Tips for Staying Inspired: How Machine Learning Pros Fuel Creativity and Innovation

Machine learning (ML) continues to reshape industries—from personalised e-commerce recommendations and autonomous vehicles to advanced healthcare diagnostics and predictive maintenance in manufacturing. Yet behind every revolutionary model lies a challenging and sometimes repetitive process: data cleaning, hyperparameter tuning, infrastructure management, stakeholder communications, and constant performance monitoring. It’s no wonder many ML professionals can experience creative fatigue or get stuck in the daily grind. So, how do machine learning experts keep their spark alive and continually generate fresh ideas? Below, you’ll find ten actionable strategies that successful ML engineers, data scientists, and research scientists use to stay innovative and push boundaries. Whether you’re an experienced practitioner or just breaking into the field, these tips can help you fuel creativity and discover new angles for solving complex problems.

Careers

Top 10 Machine Learning Career Myths Debunked: Key Facts for Aspiring Professionals

Machine learning (ML) has become one of the hottest fields in technology—touching everything from recommendation engines and self-driving cars to language translation and healthcare diagnostics. The immense potential of ML, combined with attractive compensation packages and high-profile success stories, has spurred countless professionals and students to explore this career path. Yet, despite the boom in demand and innovation, machine learning is not exempt from myths and misconceptions. At MachineLearningJobs.co.uk, we’ve had front-row seats to the real-life career journeys and hiring needs in this field. We see, time and again, that outdated assumptions—like needing a PhD from a top university or that ML is purely about deep neural networks—can mislead new entrants and even deter seasoned professionals from making a successful transition. If you’re curious about a career in machine learning or looking to take your existing ML expertise to the next level, this article is for you. Below, we debunk 10 of the most persistent myths about machine learning careers and offer a clear-eyed view of the essential skills, opportunities, and realistic paths forward. By the end, you’ll be better equipped to make informed decisions about your future in this dynamic and rewarding domain.

Careers

Global vs. Local: Comparing the UK Machine Learning Job Market to International Landscapes

How to evaluate opportunities, salaries, and work culture in machine learning across the UK, the US, Europe, and Asia Machine learning (ML) has rapidly transcended the research labs of academia to become a foundational pillar of modern technology. From recommendation engines and autonomous vehicles to fraud detection and personalised healthcare, machine learning techniques are increasingly ubiquitous, transforming how organisations operate. This surge in applications has fuelled an extraordinary global demand for ML professionals—data scientists, ML engineers, research scientists, and more. In this article, we’ll examine how the UK machine learning job market compares to prominent international hubs, including the United States, Europe, and Asia. We’ll explore hiring trends, salary ranges, workplace cultures, and the nuances of remote and overseas roles. Whether you’re a fresh graduate aiming to break into the field, a software engineer with an ML specialisation, or a seasoned professional seeking your next challenge, understanding the global ML landscape is essential for making an informed career move. By the end of this overview, you’ll be equipped with insights into which regions offer the best blend of salaries, work-life balance, and cutting-edge projects—plus practical tips on how to succeed in a domain that’s constantly evolving. Let’s dive in.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.