Introduction



Our client is one of the UK's leading technical learning organisations, a powerhouse in digital and tech education with an impressive client base spanning government, defence, and some of the biggest names in industry. They're serious about what they do, and the quality of their training reflects that. This isn't a team that does things by halves. You'd be joining their Government and Defence division, working on cutting-edge programmes covering Data Science, GenAI, and Python, delivering training that genuinely makes a difference to how organisations operate and grow. The work is varied, the audience is broad, and the standards are high. To hit the ground running, you'll need proven experience delivering complex technical training in Data Science, Python, and GenAI, virtually and in person. Strong knowledge of machine learning concepts, the NumPy ecosystem, and prompt engineering is a must. You'll also need the ability to design engaging courseware and act as a subject matter expert, contributing to course development and client programmes. SC clearance (or eligibility for it) is essential given the nature of the client base.



Sound like you? APPLY TODAY!




Working Patterns and location - Hybrid, 3-4 days per week on site.




Key responsibilities

• Deliver high-quality, engaging technical training in Data Science, GenAI, and Python.


• Design and develop learner-centric courseware aligned to client requirements and quality standards.


• Maintain a Trainer Satisfaction Score (TSAT) of 88%+ and meet trainer observation benchmarks.


• Act as a Subject Matter Expert, contributing to internal discussions and client learning programmes.


• Conduct peer observations and provide constructive feedback to support team improvement.


• Collaborate with stakeholders across teams to support shared goals and client requirements.


• Proactively maintain industry certifications and stay current with emerging tech and best practices.

Skills & experience

• Proven experience delivering complex technical training in Data Science, Python, and GenAI.


• Strong knowledge of machine learning techniques, GenAI concepts, and prompt engineering.


• Proficiency in Python programming with strong familiarity with the NumPy ecosystem.


• Ability to design and develop engaging, outcome-focused courseware for diverse audiences.


• Experience applying instructional design principles and adult learning theory to training materials.


• Ability to translate complex technical concepts for both technical and non-technical learners.


• Strong communication and stakeholder management skills across internal and external teams.


• Track record of achieving high training satisfaction scores and using feedback to improve delivery.

Additional benefits

• Hands-on experience with leading AI frameworks such as TensorFlow or PyTorch.


• Familiarity with cloud platforms including AWS, GCP, or Azure.


• Experience working alongside AI/ML engineers, data scientists, or other data professionals.


• Degree in Mathematics, Computer Science, Data Science, or a related field.


• MSc or PhD in Data Science, AI, or Computer Science, or equivalent relevant certifications.


• Cloud vendor certifications from GCP, AWS, or Azure.

Our client is committed to providing a diverse and inclusive workplace and welcomes applications from all backgrounds.




Part-time opportunities/flexible working is available to suit individual needs.




RECOMMEND A FRIEND: If you have professional friends/colleagues who would be interested in one of our roles and our excellent levels of service too, we'd like to recognise your recommendations with a 'thank you' of our own. For every friend you refer who then starts a role through Datasource either Contract or Permanent, we will send you £200 of Love to Shop Gift Vouchers & gift your friend £100 in Love to Shop Gift Vouchers as well!



You will be required to hold a minimum of SC Clearance. If you do not hold an active SC Clearance, please familiarise yourself with the vetting process before applying.



(c) Copyright Datasource Computer Employment Limited 2026.