AI Engineer Level 6

AI Engineer Level 6

London Full-Time 43200 - 72000 £ / year (est.) Home office (partial)
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At a Glance

  • Tasks: Guide learners through their AI Engineer programme, ensuring timely completion and high satisfaction.
  • Company: Corndel is revolutionising vocational learning with innovative programmes in AI, leadership, and more.
  • Benefits: Enjoy a dynamic work environment, professional development opportunities, and the chance to make a real impact.
  • Why this job: Join a passionate team dedicated to transforming education and empowering future AI leaders.
  • Qualifications: Experience in machine learning, coaching, and a strong understanding of MLOps principles required.
  • Other info: Corndel values diversity and is committed to creating an inclusive workplace for all.

The predicted salary is between 43200 - 72000 £ per year.

Corndel is seeking exceptional individuals to join our Professional Development Expert (PDE) Team to deliver first class coaching and training for our Level 6 AI Engineer programme. To be successful in this role you must possesses practical expertise in machine learning, with experience across the full lifecyclefrom business scoping and data engineering through to deployment, monitoring, and ethical considerations. Familiar with classical ML techniques (e.g., regression, classification, clustering), as well as deep learning, NLP, transfer learning, and recent advancements in LLMs and generative AI. Able to contextualise these techniques in industry settings, such as financial forecasting, operations optimisation, or customer segmentation. Comfortable with key ML frameworks (such as Scikit-learn, TensorFlow, PyTorch, Hugging Face) and data manipulation tools (Pandas, NumPy), as well as version control, containerisation, and ML deployment pipelines. Understands how to apply MLOps principles in production environments To be successful in this role you must have hands-on experience designing and deploying ML models in industryideally within agile or cross-functional teams. Understands what it takes to build and maintain scalable, ethical, and production-ready AI systems. Can share personal stories of both success and failure in deploying ML, helping learners understand real-world challenges like stakeholder alignment, data quality, model drift, or technical debt in pipelines. Ideally, has worked in environments where regulatory, ethical, and governance considerations were key (e.g., finance, healthcare, public sector), with experience navigating organisational change, risk, and compliance. You will join a company which is breaking new ground and offering a more intelligent, dynamic, and achievable way of developing people through a world class programme of vocational learning. Corndel delivers a range of programmes, including AI, Leadership and Management, Project Management, Business Administration, Data Professional, Data Analytics, DevOps, Software Development and Fundraising. You will: Manage a caseload of learners, mentoring, coaching and equipping them to become in their roles Take our theoretical course content and tailor it for each individual learner that you are supporting through regular teaching sessions and workshops Support your caseload of learners to complete all Corndel training material and assessment tasks in a timely manner Ensure that each of your learners is working on their respective qualification, accepts the value of it, is making progress and is actively pursuing it as a means of furthering their career Work with key stakeholders to support learner progress and client delight Ultimately you will be measured on the number of learners successfully completing the qualification, and the satisfaction of each learner and their line manager with the Corndel programme Potential to manage client account relationships from an operational perspective Evidence a commitment to the values of Corndel and an understanding of the transformational impact of education. Responsibilities: Teaching a cohort of learners, guiding them through their AI Programme. Ensuring over 85% of learners achieve their qualification(s) on time. Meeting regular milestones for each learner to present a compliant portfolio of evidence. Supporting learners to complete their portfolio within the set timescales and to the highest standard possible. Timetabling and holding one-to-one teaching sessions regularly. Facilitating workshops that engage, motivate and educate the learner. Engaging with the learners line managers on a quarterly basis to review progress. Adhering to all compliance requirements for the qualification Supporting the Skills for Business team to engage learners through Maths & English qualification where relevant. Person Specification Corndel is looking for exceptional talent, people who want to make a difference and who are used to working hard and achieving personal success. People who understand the complexities, challenges, satisfaction and frustrations of regularly working with AI and business change and want to pass on their knowledge and skills in conjunction with a comprehensive and highly acclaimed qualification to help others succeed. Personality and Attitude A self-starter and self-manager who can engage people, keep them engaged and progressing through the qualification. Want to teach and ensure learning is taking place. A can-do and upbeat attitude to work, colleagues, clients and managers. An inquisitive mind, able to find things out and problem solve. Solutions focused with detailed attention to both the outcomes and the inputs to secure them. With integrity and standards that mirror those of Corndel where people and success matter. A passion for continued professional and personal development and a desire and pleasure in seeing others develop and succeed. A person who wants to make a difference. Required Knowledge and experience Technical skills: Confident user of MSTeams Strong applied experience in machine learning and/or data science roles Solid understanding of MLOps and production deployment practices Experience with Python and core ML libraries (e.g., Scikit-learn, Pandas, PyTorch, TensorFlow) Familiarity with cloud platforms and data infrastructure (e.g., AWS/GCP/Azure, SQL, ELT tools) Understanding of ethical frameworks, explainability, and governance in AI Engaging & Adaptable Communication: Ability to deliver dynamic training sessions and tailor communication to different audiences. Coaching Mindset: Passionate about guiding learners and supporting their digital development. Change Management & AI Adoption: Understanding of how organisations respond to technological change, with the ability to support learners in overcoming resistance and driving AI adoption. Results-Oriented & Supportive: Committed to learner success, providing high-quality feedback and additional support to ensure competency. Continuous Learner: Proactively engages with emerging digital and AI trends, maintaining expertise in evolving tools and technologies. Experience delivering training in a corporate or professional development setting. Strong ability to adapt content and delivery style to different audience levels. Additional ideal technical skills required Digital engagement tools (menti/Miro/Whiteboarding etc) Degree or higher in Computer Science, Engineering, Maths, Data Science or a related field (desirable) Relevant certifications (e.g., Google Professional ML Engineer, Microsoft AI Engineer, AWS Machine Learning Specialty) are a bonus Core competencies Active Listening – The ability to listen attentively and empathetically to learners Communication skills – Effective verbal and non-verbal communication. The ability to convey ideas, provide feedback, and facilitate productive discussions with learners. Foundational Coaching Skills – The ability to ask open-ended questions, actively listen, and guide learners to identify their own solutions and take action. Goal Setting – The ability to help learners set clear, specific, and achievable goals. Foundation understanding of goal setting techniques. Assessment and Analysis – The ability to assess a learners strengths, weaknesses, and areas for improvement and tailor coaching, feedback, and facilitation to the learners individual needs. Personal Development Knowledge – A deep understanding of personal development theories, strategies, and practices is essential. Staying updated on the latest trends and research is important. Motivation Techniques – Being able to motivate and inspire learners to stay committed to their programme, even in the face of challenges. Self-awareness – Ability to understand your own biases, values, and beliefs, which can impact your coaching approach. Time Management – Effective time management skills are essential for structuring 121 coaching sessions, running workshops, keeping on top of admin, and setting priorities, and helping learners manage their time effectively. Feedback and Evaluation – Providing constructive feedback and evaluating learner progress is necessary for tracking development and making necessary adjustments to the Individual Learning Plans. Conflict Resolution – Being able to handle conflicts or resistance that may arise during 121 coaching sessions or workshops in a constructive and empathetic manner. As part of our commitment to create an inclusive workplace where all colleagues can be their true selves, excel in their roles and progress in their careers, we recognise the importance of embracing the diversity in the working population and making Corndel a fully accessible employer.As Corndel is a Disability Confident Employer, we make sure that a fair and proportionate number of disabled applicants who meet the minimum criteria for a job will be offered an interview. If you would like to be considered under this scheme, when submitting your application, please select the appropriate option to let us know that you have a disability. Please note this does not mean that all disabled people are entitled to an interview, in some recruitment situations such as peak times, we might need to limit the overall numbers of interviews we offer. If you have a disability that might affect any stage of the recruitment process, please let us know about any help or reasonable adjustments you need before any interview or assessment. Well work with you to make sure any appropriate support is in place and make the application process a more positive experience. Corndel is committed to safeguarding and safer recruitment practices, and will undertake pre-employment checks on the successful candidate, including Enhanced DBS Disclosure and a Barred List Check. TPBN1_UKTJ

AI Engineer Level 6 employer: Corndel

Corndel is an exceptional employer that prioritises professional development and personal growth, offering a dynamic work culture where innovation thrives. As part of the Professional Development Expert Team, you will have the opportunity to mentor and coach learners in cutting-edge AI technologies while enjoying a supportive environment that values diversity and inclusion. With a commitment to ethical practices and continuous learning, Corndel empowers its employees to make a meaningful impact in the lives of others through vocational education.
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Contact Detail:

Corndel Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land AI Engineer Level 6

✨Tip Number 1

Familiarise yourself with the latest advancements in AI and machine learning, especially in areas like NLP and generative AI. This knowledge will not only help you during interviews but also demonstrate your commitment to staying updated in a rapidly evolving field.

✨Tip Number 2

Engage with the AI community through forums, webinars, or local meetups. Networking with professionals in the field can provide insights into industry trends and may even lead to referrals for job openings at Corndel.

✨Tip Number 3

Prepare to discuss real-world challenges you've faced in deploying ML models, such as data quality issues or stakeholder alignment. Sharing these experiences can showcase your problem-solving skills and practical expertise during interviews.

✨Tip Number 4

Highlight your experience with MLOps principles and production deployment practices. Being able to articulate how you've successfully implemented these in past roles will set you apart as a candidate who understands the full lifecycle of AI systems.

We think you need these skills to ace AI Engineer Level 6

Machine Learning Expertise
Data Engineering
Model Deployment
Monitoring and Maintenance of AI Systems
Classical ML Techniques (Regression, Classification, Clustering)
Deep Learning
Natural Language Processing (NLP)
Transfer Learning
Large Language Models (LLMs)
Generative AI
Familiarity with ML Frameworks (Scikit-learn, TensorFlow, PyTorch, Hugging Face)
Data Manipulation Tools (Pandas, NumPy)
Version Control
Containerisation
MLOps Principles
Agile Methodologies
Stakeholder Engagement
Ethical Considerations in AI
Change Management
Effective Communication Skills
Coaching and Mentoring
Time Management
Conflict Resolution
Continuous Learning Mindset
Digital Engagement Tools (Menti, Miro, Whiteboarding)
Degree in Computer Science, Engineering, Maths, Data Science or related field
Relevant Certifications (Google Professional ML Engineer, Microsoft AI Engineer, AWS Machine Learning Specialty)

Some tips for your application 🫡

Tailor Your CV: Make sure your CV highlights your practical expertise in machine learning and relevant experience across the full lifecycle. Include specific examples of projects you've worked on, particularly those involving classical ML techniques and recent advancements in AI.

Craft a Compelling Cover Letter: In your cover letter, express your passion for teaching and mentoring learners. Share personal stories of success and challenges in deploying ML models, demonstrating your understanding of real-world applications and ethical considerations in AI.

Showcase Relevant Skills: Clearly outline your technical skills, such as proficiency in Python, familiarity with ML frameworks, and understanding of MLOps principles. Mention any relevant certifications or degrees that align with the job requirements.

Demonstrate Your Coaching Mindset: Highlight your ability to engage and motivate learners. Provide examples of how you've supported individuals in their professional development, showcasing your commitment to learner success and adaptability in communication.

How to prepare for a job interview at Corndel

✨Showcase Your Practical Experience

Be prepared to discuss your hands-on experience with machine learning projects. Share specific examples of how you've managed the full lifecycle of ML models, from scoping to deployment, and highlight any challenges you faced and how you overcame them.

✨Demonstrate Your Knowledge of ML Techniques

Familiarise yourself with classical ML techniques and recent advancements in AI, such as LLMs and generative AI. Be ready to explain how you've applied these techniques in real-world scenarios, particularly in industry settings relevant to Corndel's focus areas.

✨Emphasise Your Coaching Skills

Since the role involves mentoring learners, be prepared to discuss your coaching philosophy and methods. Share examples of how you've successfully guided others in their professional development, and demonstrate your ability to tailor your approach to different learning styles.

✨Understand Ethical Considerations

Given the importance of ethical frameworks in AI, be ready to discuss your understanding of these principles. Talk about how you've navigated ethical dilemmas in past projects and how you ensure compliance with governance standards in your work.

AI Engineer Level 6
Corndel
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