Engineer the Quantum RevolutionYour expertise can help us shape the future of quantum computing at Oxford Ionics.

View Open Roles

Lecturer in AI & Data Science

Bloomsbury
1 month ago
Applications closed

Related Jobs

View all jobs

Lecturer in Geographic Data Science Grade 8 (Human Geography) Geography and Planning

Lecturer/Senior Lecturer in Data Science

Lecturer in Data Science (Non-Tenured)

Lecturer/Senior Lecturer in Applied Data Science (Permanent, Full Time) (AW-1899)

Assistant Professor in Applied Statistics or Actuarial Data Science (T&R)

4953-E - Programme Lead - Data Science (Greenwich Online)

Who are we looking for?

We are looking for a new Lecturer in AI & Data Science to join our new Campus Services centre in partnership with the University of Hull!

The successful applicant will teach on the MSc AI and Data Science (Conversion) programme at the University of Hull London Study Centre. There may also be the opportunity to contribute to related modules in relevant specialisms. This includes planning and preparing engaging learning activities, marking and associated activities such as standardisation. The University of Hull London Study Centre has a high focus on quality and student experience. Lecturers will be proactive in their own development and contribute to the collegiate culture of the centre.

The role includes planning, preparing and delivering engaging and context-appropriate learning activities and resources, including teaching Python coding and facilitating interactive programming and problem-solving workshops.

Further details of the modules delivered within the programme can be found on our website.

The role will be on a full-time, permanent basis at the University of Hull London Study Centre.

Please note that interviews for shortlisted candidates and any potential job offers may be in place before the application end date. We recommend that, if interested in any of the roles, you apply as soon as possible.

What you will be doing as a Lecturer:

  • To contribute to the development and success of the centre, supporting the strategic aims and objectives of the University of Hull London Study Centre, leading by example.

  • Plan, prepare and deliver high quality teaching that meets the needs of international students whose first language is not English to achieve excellent student outcomes, student experience and progression.

  • Monitor progress and provide regular feedback, formative and summative, to help manage students’ performance.

  • Report to relevant stakeholders on students as needed throughout the programme.

  • Set and mark work and assessments in accordance with University of Hull assessment and quality policies.

  • Contribute to the development, evaluation, and improvement of programmes, materials and related services, through active participation and involvement in academic initiatives.

  • Take responsibility for continually developing own skills and teaching methods, including the use of new technology, learning from and sharing effective teaching practice with others, participating in training and CPD as required.

  • Ensure English, Employability and other transferable skills are embedded within learning sessions to support students to succeed.

  • Be aware of, and work within, all policies, procedures and statutory frameworks relating to lecturers’ responsibilities e.g., Safeguarding, Health and Safety, Equality and Diversity, Quality.

  • To carry out administrative and organisational tasks and actively participate in meetings related to the duties described above, including registering the attendance of students.

    Key specifications we will be looking for:

    Education

  • Educated to Masters’ degree or equivalent qualification level, in relevant subject area (essential)

  • Demonstrates high level of fluency in written and spoken English (essential)

  • Doctorate in relevant subject area, or working towards (desirable)

  • Teaching Qualification (desirable)

  • Fellowship of Advance HE (FHEA) (desirable)

  • Relevant industrial experience (desirable)

    Experience

  • Relevant in-person or face to face teaching or training experience in relevant subject area (essential)

  • Experience of online or blended course delivery (desirable)

  • Experience of working with international students where English is not their first language (desirable)

  • Experience of working in UK further education or higher education (desirable)

  • Experience of using student management systems and virtual learning environments (VLE) (desirable)

  • A record of achievement in teaching (desirable)

    Skills

  • Strong IT skills, particularly the use of Excel, Word, PowerPoint, Outlook (essential)

  • Demonstrates cross-cultural awareness and understanding (essential)

  • Commitment to ongoing reflection and continuous improvement of teaching practice (essential)

  • Excellent interpersonal, communication and presentation skills (essential)

  • The ability to prioritise, meet deadlines and work under pressure (essential)

  • Experience in programming in Python and ability to teach this programming language, including implementing data science and AI solutions to problems (essential)

  • A track record of programming outputs as might be documented in GitHub or similar (desirable)

  • Experience of SQL and databases, or the willingness to learn these skills (desirable)

    What does Cambridge Education Group do?

    Whether students choose to study at one of our centres with OnCampus or Castel or complete an online programme through CEG Digital or iheed, Cambridge Education Group promises to help students Achieve More with expert tutors, innovative high-quality content, premium facilities, and the personal service our students deserve. Our students are central to everything that we do.

    We offer a wide range of options across our portfolio of global centres, each with its own unique features and qualities, enabling us to meet our students' demands as required.

    About our partnership with the University of Hull

    The University of Hull London Study Centre based in Bloomsbury, on historic Gower Street. The centre will offer a range of postgraduate programmes, with an initial portfolio of 3 degrees offered at launch.

    The University of Hull London Study Centre is a partnership between the University of Hull and Cambridge Education Group. Academic delivery staff are employed by Cambridge Education Group and have access to a wide range of support and development from the University of Hull.

    The University of Hull has been changing the way people think for 90 years. Our motto, Lampada Ferens, translates as ‘carrying the light of learning’, and over the years, we’ve shared that light with thousands of people from across the world. As England’s 14th-oldest university, we have a proud heritage of academic excellence, and a history of creating and inspiring life-changing research. And we have no plans to stop helping to build a better world. The University of Hull has achieved the highly valued TEF Gold standard for its teaching. The university’s Business School holds AMBA and AACSB accreditation.

    Why will you love working here?

    Working with our team, you will have the opportunity to work with a team who have a shared focus of collaborating and improve the lives of learners. You will have the best of both worlds, the opportunity to grow personally whilst helping students develop.

    Join a global education organisation that is respected for its successes and provides a friendly and supportive work environment to its diverse range of colleagues. Cambridge Education Group’s flexible and fast-paced experts help learners around the world to Achieve More.

    Benefits

    Private Medical Insurance

    Life Assurance cover

    Perkbox (includes hundreds of discounts)

    Salary sacrifice car leasing Scheme from Tusker; Cycle to Work scheme; Technology Purchasing Scheme

    Employee Assistance Program (EAP) – giving caring and compassionate support to all staff, as well as dedicated Mental Health & Wellness Champions

    Discounted rates on Master’s degrees with CEG Digital Partner Universities (25% off)

    Pension – Royal London salary sacrifice pension scheme currently 5% employee minimum contribution and 3% CEG employer contributions.

    Holiday – Enhanced holiday of 25 days plus U.K bank Holidays

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.

Pre-Employment Checks for Machine Learning Jobs: DBS, References & Right-to-Work and more Explained

Pre-employment screening in machine learning reflects the discipline's unique position at the intersection of artificial intelligence research, algorithmic decision-making, and transformative business automation. Machine learning professionals often have privileged access to proprietary datasets, cutting-edge algorithms, and strategic AI systems that form the foundation of organizational competitive advantage and automated decision-making capabilities. The machine learning industry operates within complex regulatory frameworks spanning AI governance directives, algorithmic accountability requirements, and emerging ML ethics regulations. Machine learning specialists must demonstrate not only technical competence in model development and deployment but also deep understanding of algorithmic fairness, AI safety principles, and the societal implications of automated decision-making at scale. Modern machine learning roles frequently involve developing systems that impact hiring decisions, financial services, healthcare diagnostics, and autonomous operations across multiple regulatory jurisdictions and ethical frameworks simultaneously. The combination of algorithmic influence, predictive capabilities, and automated decision-making authority makes thorough candidate verification essential for maintaining compliance, fairness, and public trust in AI-powered systems.

Why Now Is the Perfect Time to Launch Your Career in Machine Learning: The UK's Intelligence Revolution

The United Kingdom stands at the epicentre of a machine learning revolution that's fundamentally transforming how we solve problems, deliver services, and unlock insights from data at unprecedented scale. From the AI-powered diagnostic systems revolutionising healthcare in Manchester to the algorithmic trading platforms driving London's financial markets, Britain's embrace of intelligent systems has created an extraordinary demand for skilled machine learning professionals that dramatically exceeds the current talent supply. If you've been seeking a career at the forefront of technological innovation or looking to position yourself in one of the most impactful sectors of the digital economy, machine learning represents an exceptional opportunity. The convergence of abundant data availability, computational power accessibility, advanced algorithmic development, and enterprise AI adoption has created perfect conditions for machine learning career success.

Automate Your Machine Learning Jobs Search: Using ChatGPT, RSS & Alerts to Save Hours Each Week

ML jobs are everywhere—product companies, labs, consultancies, fintech, healthtech, robotics—often hidden in ATS portals or duplicated across boards. The fastest way to stay on top of them isn’t more scrolling; it’s automation. With keyword-rich alerts, RSS feeds, and a reusable ChatGPT workflow, you can bring relevant roles to you, triage them in minutes, and tailor strong applications without burning your evenings. This is a copy-paste playbook for www.machinelearningjobs.co.uk readers. It’s UK-centric, practical, and designed to save you hours each week. What You’ll Have Working In 30 Minutes A role & keyword map spanning LLM/NLP, Vision, Core ML, Recommenders, MLOps/Platform, Research/Applied Science, and Edge/Inference optimisation. Shareable Boolean searches you can paste into Google & job boards to cut noise. Always-on alerts & RSS feeds delivering fresh roles to your inbox/reader. A ChatGPT “ML Job Scout” prompt that deduplicates, scores fit, and outputs tailored actions. A lightweight pipeline tracker so deadlines and follow-ups never slip.