Total 293 process development engineer job vacancies in Education / Training category in Australia

Position Overview:

We are seeking an experienced Trainer (Retail & Development) to join our team. In this full-time position, you will be responsible for designing and delivering comprehensive training programs to upskill our retail staff, ensuring they are equipped with the knowledge and skills to provide exceptional customer service and drive sales.

What you'll be doing

• Developing and facilitating engaging training sessions on product knowledge, sales techniques, customer service, and other relevant retail topics
• Identifying training needs and designing customized programs to address skill gaps
• Facilitate in-store training sessions on weekdays during retail hours
• Monitoring and evaluating the effectiveness of training initiatives, making adjustments as necessary
• Providing one-on-one coaching and mentoring to support the professional development of retail staff
• Collaborate with the HR and Operations teams to identify training needs and design customized modules.
• Collaborating with the management team to align training with the company's strategic objectives
• Monitor training effectiveness through feedback and KPIs to refine future programs.
• Maintaining training records and providing progress reports

What we're looking for:

• Relevant qualification in a field such as Education, Human Resources, or Business
• Minimum 3 years of experience as a Trainer or L&D professional, preferably in the retail industry
• Excellent facilitation and presentation skills, with the ability to engage and motivate adult learners
• Strong understanding of adult learning principles and the ability to design effective training programs
• Proficient in data analysis and using metrics to measure training impact
• Excellent communication and interpersonal skills, with the ability to build rapport with employees at all levels
• Passion for learning and development, with a commitment to continuous improvement

Established in 2010, the Energy Research Institute @ NTU (ERI@N) is a pan-university research institute that focuses on systems-level research for tropical megacities. It performs translational research that covers the energy value chain from generation to innovative end-use solutions, motivated by industrialisation and deployment. ERI@N has multiple Interdisciplinary Research Programmes which focus on translational Research, Development & Deployment which focus on specific area of the energy value chain, and a number of Living labs and Testbeds which facilitate large scale technology deployment enabling validation and demonstration of real-world applications.

For more details, please view https://www.ntu.edu.sg/erian

We are looking for an experienced Chemical Process Engineer to join its research and technology team. The successful candidate will work within an interdisciplinary environment focused on developing and scaling advanced seawater electrolysis, carbon dioxide removal and related chemical processes. The role requires a mid-senior professional who brings hands-on expertise in plant operations, process troubleshooting, optimization, and engineering to advance ERI@N's mission of deploying real-world energy solutions. The Engineer will be pivotal in bridging laboratory-scale research with pilot and demonstration-scale process engineering, and process operations, thereby contributing directly to Singapore's decarbonization and energy security objectives.

Key Responsibilities:

• Operate, monitor, and maintain pilot-scale and demonstration chemical process plants, ensuring safe, reliable, and efficient performance

• Lead systematic troubleshooting of process upsets, equipment failures, and off-spec conditions; implement and document corrective actions

• Identify and drive process optimisation opportunities to improve yield, energy efficiency, safety, and cost-effectiveness

• Develop, review, and update process engineering documentation including PFDs, P&IDs, SOPs, and HAZOP studies

• Support scale-up activities by translating R&D findings into process design packages and engineering specifications

• Collaborate with analytical, mechanical, and research teams to integrate measurements and data into process improvement cycles

• Conduct root cause analysis (RCA) and failure mode analysis for recurring process or equipment issues

• Ensure compliance with EHS regulations, workplace safety requirements, and institutional guidelines at all times in compliance with Singapore regulations

• Prepare and present technical reports, progress updates, and recommendations to project stakeholders

• Support procurement, commissioning, and qualification of new process equipment

• Support in operator training for the process and in compliance with local Singapore WSH requirements

Job Requirements:

Required educational qualification:

Bachelor's or Master's degree in Chemical Engineering, Process Engineering, or a closely related discipline. Candidates with a Ph.D. and relevant industrial experience are also welcome.

Required experience:

7-10 years of hands-on experience in plant operations, process engineering, or a related chemical/industrial role. Experience in energy, hydrogen, electrolysis, electrochemistry, water treatment, desalination, membranes, and specialty chemicals is advantageous.

Required skills and competencies:

• Demonstrated proficiency in process troubleshooting, root cause analysis, and optimisation methodologies

• Strong working knowledge of process engineering tools and standards (PFDs, P&IDs, HAZOP, MOC)

• Experience with chemical process simulation software (e.g., HYSYS, Aspen Plus, or equivalent) is preferred

• Familiarity with safety management systems, WSH and EHS regulatory requirements in Singapore, and local operational permits for chemical inventory management

• Excellent analytical and problem-solving skills with a data-driven approach

• Strong communication and collaboration skills; ability to work effectively in a multi-disciplinary team

• Self-motivated, proactive, and capable of working with minimal supervision

• Organized, detail-oriented, and experienced in preparing high-quality technical documentation

We regret to inform that only shortlisted candidates will be notified.

The Asset Management Client Skills Training team at J.P. Morgan Asset & Wealth Management focuses on activating client-facing teams to efficiently achieve their goals, accelerate business priorities, and provide training and coaching on practices that lead to success. The team builds engaging learning programs and impactful experiences to help our teams harness the collective power of our firm at the right time.

As a Training Development & Design Specialist in the Asset Management Client Skills Training team, you will be responsible for developing, designing, and delivering a suite of training programs for our Asset Management client-facing teams in Asia Pacific. You will demonstrate interest and skill in helping professionals become more productive and trusted Advisors, contributing to the growth and success of our teams.

Job Responsibilities:

• Develop, design and deliver training content:

+ Engage business stakeholders and practice partners to shape core content, assessments, exercises, and workshops

+ Ensure content created helps colleagues in confidently engaging with our clients and prospects

+ Coach content creators / Subject matter experts on presentation relevance, transference of knowledge and impact

+ Host and deliver training workshops

+ Define and measure key metrics to help assess impact and success of new initiatives

• Market comprehensive training plan for learners with key stakeholders in Asia; serve as a champion for our work within the business

• Use digital learning to provide high-touch communication and enhance in-person offerings in an evolving learning environment

• Manage multiple projects at the same time with different timelines

• Work with global Client Skills Team members and business stakeholders to build programs solutions at product, industry and professional skills level

• Share best practices of one program that can be implemented in others

Required qualifications, capabilities, and skills:

• Bachelor’s Degree in Business or other related disciplines.

• 7 or more years of experience in Asset Management firms or Financial Institutions.

• Coaching and facilitation skills

• Learning design and content creation expertise

• Solution-oriented with strong interpersonal, consultative, communication, presentation and facilitation skills

• Ability to command an audience and interact confidently with senior executives.

• Active listener, who knows how to access insightful questions and unlock a greater understanding of business and learning needs

• Ability to establish and maintain strong relationships with senior business leaders and key stakeholders.

• Flexibility in a fast-paced changing environment; comfortable working in agile environment with an entrepreneurial passion for building new things

• Strong project management skills; robust organization, attention to detail and time management skills in a multicultural and international environment

• Strong written and verbal communication skills in Japanese to support clients from Japan.

Preferred qualifications, capabilities, and skills:

• Previous client advisory and sales experience within the Asset Management or financial services industry

• Familiarity with learning solutions and their practical application

To apply for this position, please use the following URL:

https://ars2.equest.com/?response_id=f6483a886edc8682c3ba53e3e73561fa

Job Responsibilities:

• Support developing and sustaining electroplating processes (Cu TSV/Damascene/ RDL/Pillar, UBM, micro-bump) in both R&D and small volume manufacturing environments.
• Support troubleshooting, root cause analysis for electroplating defects (e.g., voids, roughness, non-uniformity, adhesion issues).
• Design and perform DOEs to define process windows, characterize new requirements, and evaluate plating chemistries, technologies.
• Compile, analyse, and interpret test data to establish process specifications.
• Generate comprehensive technical reports for both internal teams and customers.
• Collaborate closely with senior engineers, process integrators, and cross-functional teams to align with technology roadmaps and process capability requirements.

Job Requirements

• Bachelor's or higher degree in Materials Science, Chemical Engineering, Chemistry, or related fields.
• Knowledge of electroplating process is a plus.
• Hands-on experiences in electroplating or related processes are preferred.
• Solid knowledge of experimental design (DOE), data analysis, and problem-solving methodologies (e.g., statistical analysis, root cause analysis).
• Excellent interpersonal, communication, and teamwork skills, with the ability to collaborate across disciplines.
• Self-motivated, resourceful, and capable of managing multiple priorities in a dynamic R&D setting.

We have a few openings for Research Fellow or Research Engineer. The selected applicant is expected to lead and pursue high-quality research in applied artificial intelligence (e.g., data analytics and transfer learning) for battery management for rugged systems that lead to publications in top-tier international conferences and journals, as well as real-world implementations. If interested, please send your resume to ZHANG Wei (wei.zhang@singaporetech.edu.sg) including a cover letter, CV and a brief statement of your work undertaken in previous work.

The Singapore Institute of Technology (SIT) is a public autonomous university and the third largest university by intake in Singapore. SIT’s mission is to innovate with industry, through an integrated applied learning and research approach, so as to contribute to the economy and society. Singapore is the small city with a big dream. We are home to the best talent and have the world’s highest per capital investment in science and technology.

Key Responsibilities:

• Collaborate with partners from both the academia and the industry to lead and/or conduct innovative research on, but not limited to transfer learning, explainable machine learning, battery management, etc.
• Contribute to academic research in the relevant domains and publish high-tier journal papers and conference papers.
• Participate in and manage the research project with Principal Investigator (PI) to ensure all project deliverables are met.
• Coordinate procurement and liaison with vendors/suppliers.
• Participate in computer science related laboratories and tutorials for undergraduate students.
• Interview and supervise student assistants in the project.

Job Requirements:

• (Research Fellow) PhD in Computer Science or a related field
• (Research Engineer) Bachelor/Master degree in Computer Science or a related field
• Proven ability to conduct independent research with a relevant publication record
• Outstanding data analytics, mathematical, and computer modelling skills
• Excellent interpersonal communication and oral presentation skills in English
• Self-driven and strong team spirit
• Open to fixed-term contract (renewable upon review of satisfactory performance)

About the Role
We are looking for a Senior/Research Engineer who is eager to apply software development, and optimisation techniques to solve real-world challenges in manufacturing planning, scheduling, and inventory management. This is an excellent opportunity to grow your career by working on cutting-edge AI-powered applications that drive smarter and more autonomous manufacturing operations. 

Key Responsibilities
* Develop and maintain enterprise planning, scheduling, and inventory applications.
* Build scalable microservices and user-friendly interfaces using C# .NET and Angular.
* Apply Agentic AI technologies to enhance human-AI collaboration in planning and scheduling.
* Explore and implement optimisation methods for complex scheduling and resource allocation problems.
* Support deployment and monitoring of applications in production environments.
* Collaborate closely with senior engineers, researchers, and cross-functional teams.
* Document technical designs, code, and workflows for easy maintenance and knowledge sharing.
* Assist in troubleshooting, debugging, and improving performance for scalability and efficiency.

Job Requirements
* Bachelor's degree in AI, Computer Science, Engineering, or a related field.
* Minimum of 3 years of experience in software development.
* Strong programming skills in C# .NET and Angular.
* Good knowledge of manufacturing planning, scheduling, and inventory workflows.
* Familiarity with Generative AI and its applications in decision support systems.
* Basic understanding of optimisation algorithms for scheduling and resource management.
* Exposure to Docker, Kubernetes, CI/CD pipelines, and cloud/on-premises environments.
* Problem-solving mindset with strong analytical skills and attention to detail.
* Eager to learn, proactive, and collaborative with a positive attitude.
* Good communication skills for working effectively in a team environment.

The above eligibility criteria are not exhaustive. A*STAR may include additional selection criteria based on its prevailing recruitment policies. These policies may be amended from time to time without notice. We regret that only shortlisted candidates will be notified.

About the Role

We are looking for a Senior Research Engineer to design and implement AI-enabled solutions that support manufacturing planning, scheduling, and inventory analytics. You will work on building backend services, data pipelines, and APIs that connect AI systems with manufacturing platforms to enable smarter, data-driven decision-making.

Key Responsibilities

·       Lead the development and integration of applications for production planning, scheduling, and inventory optimization.

·       Design backend services and APIs to support planning and analytics workflows.

·       Orchestrate multiple AI-driven agents for collaborative task execution in manufacturing systems.

·       Connect AI applications with external manufacturing platforms and enterprise tools.

·       Collaborate with AI/ML engineers to deploy models into production.

·       Build scalable backend systems using Docker, Kubernetes, and cloud platforms.

·       Support CI/CD pipelines and maintain production/staging environments.

·       Contribute to evolving AI-based decision support platforms for manufacturing operations.

Requirements

·        Bachelor's degree in AI, Computer Engineering, Software Engineering, or related field.

·       Minimum of 5 years of experience in software development, focusing on enterprise systems.

·       Experience with microservices (C# .NET, Python) and using Angular.

·       Familiarity with AI-driven planning, scheduling, or inventory analytics.

·       Knowledge of agent-based systems or multi-agent coordination.

·       Proficiency with Docker, Kubernetes, and cloud environments.

·       Hands-on experience with CI/CD tools (Jenkins, GitHub, etc.).

·       Exposure to AI/ML model integration in production.

·       Excellent problem-solving, troubleshooting, and analytical skills, with a high level of attention to detail.

·       Strong verbal and written communication skills.

·       Positive, proactive attitude, with the ability to collaborate effectively across multiple stakeholders.

The above eligibility criteria are not exhaustive. A*STAR may include additional selection criteria based on its prevailing recruitment policies. These policies may be amended from time to time without notice. We regret that only shortlisted candidates will be notified.

About the Role

We are looking for a Senior Research Engineer to design and implement AI-enabled solutions that support manufacturing planning, scheduling, and inventory analytics. You will work on building backend services, data pipelines, and APIs that connect AI systems with manufacturing platforms to enable smarter, data-driven decision-making.

Key Responsibilities

·       Lead the development and integration of applications for production planning, scheduling, and inventory optimization.

·       Design backend services and APIs to support planning and analytics workflows.

·       Orchestrate multiple AI-driven agents for collaborative task execution in manufacturing systems.

·       Connect AI applications with external manufacturing platforms and enterprise tools.

·       Collaborate with AI/ML engineers to deploy models into production.

·       Build scalable backend systems using Docker, Kubernetes, and cloud platforms.

·       Support CI/CD pipelines and maintain production/staging environments.

·       Contribute to evolving AI-based decision support platforms for manufacturing operations.

Requirements

·        Master's degree in AI, Computer Engineering, Software Engineering, or related field.

·       Minimum of 8 years of experience in software development, focusing on enterprise systems.

·       Experience with microservices (C# .NET, Python) and using Angular.

·       Familiarity with AI-driven planning, scheduling, or inventory analytics.

·       Knowledge of agent-based systems or multi-agent coordination.

·       Proficiency with Docker, Kubernetes, and cloud environments.

·       Hands-on experience with CI/CD tools (Jenkins, GitHub, etc.).

·       Exposure to AI/ML model integration in production.

·       Excellent problem-solving, troubleshooting, and analytical skills, with a high level of attention to detail.

·       Strong verbal and written communication skills.

·       Positive, proactive attitude, with the ability to collaborate effectively across multiple stakeholders.

The above eligibility criteria are not exhaustive. A*STAR may include additional selection criteria based on its prevailing recruitment policies. These policies may be amended from time to time without notice. We regret that only shortlisted candidates will be notified.

Key Roles and Responsibilities

• Develop and optimize CMP process for silicon photonics, flat optics, advanced packaging, MEMS, and wide bandgap semiconductor applications.
• Collaborate with process integration teams to drive CMP process development, optimization, and troubleshooting for both industrial and grant-funded projects.
• Own innovation strategy for CMP raw materials, slurry, methodologies, and approaches to enhance CMP uniformity, stability and defect performance.
• Provide technical support to fab teams in implementing and sustaining statistical process control (SPC) for CMP modules, ensuring consistent process performance.
• Prepare and deliver technical reports and presentations for both internal stakeholders and external customers, effectively communicating project progress and technical insights.

Job Requirements

• Bachelors/Master's degree in Electronics, Microelectronics, Materials Engineering, Chemical Engineering, Materials Science, Chemistry, Physics, or equivalent.
• Minimum 3 years of experience in semiconductor industry, preferably in CMP technologies.
• Hands-on experience with 200 mm or 300 mm CMP equipment platforms (e.g., AMAT or Ebara) is highly desirable.
• Knowledge of silicon photonics, advanced packaging, MEMS, or wide bandgap semiconductor platforms is advantageous.
• Hands-on experience with basic process characterization techniques such as DRSEM, Ellipsometry, and AFM is a plus.
• Strong skills in experimental design (DOE), data analysis, and process optimization.
• Good analytical and communication skills, with ability to deliver clear and concise messages to both internal and external stakeholders.
• Self-motivated with a strong interest in advancing next-generation CMP applications and industry trends.

Young and research-intensive, Nanyang Technological University, Singapore (NTU Singapore) is ranked among the world’s top universities. NTU’s College of Computing and Data Science (CCDS) is a leading college that is known for its excellent curriculum, outstanding and impactful research, and world-renowned faculty.

A hot bed of cutting-edge technology and groundbreaking research, the College aims to groom the next generation of leaders, thinkers, and innovators to thrive in the digital age. Located in the heart of Asia, NTU’s College of Computing and Data Science is an ‘exciting place to learn and grow’. We welcome you to join our community of faculty, students and alumni who are shaping the future of AI, Data Science and Computing.

Key Responsibilities:

• Develop and optimize AI models, including data preparation, training and evaluation.

• Collaborate with teams to implement models and improve performance based on results.

• Design and conduct human behavioral experiments, including developing protocols and ensuring compliance.

• Collect and analyze experimental data and interpret findings to support research objectives.

Job Requirements:

• Preferably Bachelor’s degree in Computer Engineering, Computer Science, Electronics Engineering or equivalent.

• Independent, highly analytical, proactive and a team player

• Excellent teamwork and verbal, written communication skills

• Strong coding and implementation skills in developing AI models

• In depth understanding of neural circuits for controlling eye movements in neuroscience

• Strong communication skills in terms of writing and reading academic papers, and presenting research works in public settings

• Candidates must have strong computational background

• Candidates must have coding experiences in deep reinforcement learning and deep learning

• Candidates must also have strong neuroscience backgrounds especially in designing and conducting human behavioral experiments

We regret that only shortlisted candidates will be notified.

ASPRI-IPI, the training arm of ASPRI, is a non-profit organisation dedicated to advancing the Process Industry in Singapore. We collaborate with industry leaders, government agencies, and subject matter experts to develop and deliver high-quality training programmes.

Join us on our mission to enhance the skills and safety of the Process Industry workforce, contributing to a safer and more productive industry for Singapore.

Position Overview

This is a 2 months temporary assignment supporting both the Operation and Service Quality units in ASPRI-IPI. This role is paid hourly.

Job Responsibilities include but not limited to:

1. Daily operation

i) Centre Opening (classroom / workshop / ushering / courseware retrieving for classes that have ended)

ii) Attendance taking

iii) Minor ad-hoc request from trainers

iv) Attendance preparation for new classes

v) Courseware packing

vi) Centre Closing (refreshment packing / Courseware storing (new class) / classroom / workshop)

2. Batching

i) Checking of post-courseware and inform Ops on the follow up

ii) Updating and verifying of batch log file to ensure accuracy

3. Evaluation

i) Post-evaluation scanning

ii) Update evaluation log file

iii) Verify evaluation log file

4. Safety Pass

i) Verify safety pass (WSQ/ASTER)

ii) Verify safety pass tracker (Jimily)

You should possess the following:

• Minimum Diploma preferably in Training and Adult Education sector;
• No experience required as On-the-job training will be provided;
• Ability to effectively manage time and schedules under tight deadline and pressure;
• Strong adaptability skill, able to work independently as well as in a team;
• Strong communication skills with good customer service aptitude;
• Proficiency in Microsoft Office and other IT applications;
• Willingness to work a flexible schedule, including shift duties on workday evenings and weekends (OT will be compensated accordingly)
• Working location at Jalan Papan (shuttle pickup at Chinese Garden MRT)
• Immediate starters preferred

COMPANY DESCRIPTION

Singapore Management University is a place where high-level professionalism blends together with a healthy informality. The 'family-like' atmosphere among the SMU community fosters a culture where employees work, plan, organise and play together - building a strong collegiality and morale within the university.

Our commitment to attract and retain talent is ongoing. We offer attractive benefits and welfare, competitive compensation packages, and generous professional development opportunities - all to meet the work-life needs of our staff. No wonder, then, that SMU continues to be given numerous awards and recognition for its human resource excellence.

RESPONSIBILITIES

The candidate will be responsible for conducting research on developing algorithms to safeguard the security of foundation models in real-world application. Successful candidate will be part of an active research team in the School of Computing and Information Systems, Singapore Management University.

• To process and handle publicly available sequence/visual datasets.
• To develop and design approaches for building trustworthy foundation models.
• To perform large-scale empirical evaluation on the designed approaches.
• To write research reports and papers on the obtained models and results.
• To work with other team members hired for the same project.
• Other duties as assigned.

• Bachelor's/master's degree in computer science, Information Technology, Information Systems or closely related disciplines from a reputable institution of higher learning.
• Past research experience on training foundation/agentic models and hardening their security preferred.
• Proven track record and professional experience in large language models (LLMs) and multimodal LLMs.
• Demonstrated experience and know-how on machine learning and foundation models.
• Excellent working knowledge of trustworthy foundation models.
• Ability to break down complex problems and design effective solutions.
• Innovating new approaches and thinking outside the box.
• Excellent publication track records. Publications at top-tier AI/ML venues will be advantageous.
• Self-motivated individual who can work independently and collaboratively with team members.

#LI-JN2

Responsibilities

• Developing new product according to development requests and involve in improvement of existing products
• Developing application recipes to optimize product design for new and existing products
• Look out for new trends and new products in the market
• Responsible for developing prototypes for customer in a given time frame
• Evaluation of new ingredient submissions
• Conduct food tasting and sensory evaluation
• Maintain proper documentation to support costing, lab scale formulation of new and existing products and any supporting documents.
• Work closely with inter-departments on the development and launch of new or improved recipes
• Perform ad-hoc duties assigned by immediate superior

Job Requirements

• Recognised culinary qualification or similar discipline
• At least 2 - 5 year of relevant experience in restaurant/ hotel business/ food manufacturing industry
• Experience in different Asian cuisine, bakery and Dim Sum would be useful for daily R&D work
• Passionate about food product development
• Creative in food preparation and presentation
• Meticulous with good organizational skills
• Team player with good interpersonal skills
• Proficient with Microsoft Office
• Proficient in Mandarin and English (spoken and written) as need to liaise daily with Mandarin and English speaking associates

For a quicker response, apply directly through our application portal: https://boards.briohr.com/teeyihjiafoodmanufacturingpteltd-32hw8fqhzn/details/679832023668ca000888465a

Job Responsibilities:

1. Training Delivery, Facilitation & Program Ownership

• Operational & Systems Oversight: Oversee the complete operational lifecycle of training programs by coordinating end-to-end logistics—including venue management, materials preparation, and scheduling—to ensure seamless execution with minimal business disruption. This includes managing the Learning Management System (LMS) and enrolment data to provide audit-ready reporting.

• Facilitation: Facilitate and deliver engaging, interactive trainingsessions, both in-person and virtually, to staff and managers at all levels. Act as the lead trainer and subject matter expert for the following core programs:

o   Performance Management:Coaching on goal setting, effective feedback, development planning, and conducting formal reviews.

o   Mindset & Culture:Delivering foundational programs on the Outward Mindset and reinforcing organizational values.

o   Service Excellence:Designing and delivering programs to enhance customer service skills, manage difficult interactions, and promote a customer-centric culture.

o   HR & Compliance:Facilitating awareness sessions on company policies, professionalism, and organizational compliance procedures.

• Program Assessment and Improvement: Collecting and analysing post-training feedback to measure the effective transfer of knowledge and skills. Conduct regular audits and curriculum refreshes to ensure all training materials remain accurate, relevant, and aligned with evolving business objectives and industry best practices.

2. Talent Management

• Talent Review Cycle:
  Oversee the end-to-end Talent Management process, including the identification, utilizing the 9-box grid and assessment of high-potential employees

• Succession Support:Support the Talent Review cycle to ensure a pipeline for future leadership needs

3. Employee Engagement 

• Data Interpretation:
  Work with the HR team to analyse results from the Employee Engagement Survey.

• Consulting & Action Planning:
  Meet with departmental managers and leaders to review their specific engagement data, help them diagnose root causes of low engagement, and co-create tailored departmental action plans.

• Employee Engagement events: Planning and execution of internal developmental engagement events.

Job Specifications:

• Bachelor’s degree in Human Resources, Education, or a related field.
• Minimum of 2 to 4 years of dedicated experience as a Corporate Trainer or Learning & Development Facilitator.
• Proven ability to design and deliver engaging training on Service Excellence, Performance Management, and core HR-related topics.
• Exceptional classroom presence, presentation and communication skills.
• Professional certifications in training/assessment (e.g., ACTA, ACLP, or equivalent).
• Certification in or prior experience facilitating a specific behavioural framework like the Outward Mindset (e.g., Arbinger Institute).
• Strong understanding of adult learning principles and instructional design models.
• Candidates with stronger qualifications and relevant experience may be considered for appointment at a more senior level.

At Knight Frank, we are leaders in real estate advisory services, driven by our commitment to delivering exceptional property and facilities management services. Our success is built on the expertise of our people, and we strive to create a culture where innovation, teamwork, and a client-first approach are at the forefront of everything we do.

We believe that our people are our greatest strength. We seek passionate, dynamic, and motivated professionals to join our team and contribute to the seamless operation and management of world-class properties. Whether you are starting your career or a seasoned professional, we offer the opportunity to grow and thrive in a collaborative and progressive work environment.

Be part of a company that values continuous learning, career development, and a relentless commitment to excellence. If you’re ready to make a meaningful impact in the world of property and facilities management, we invite you to explore our exciting opportunities.

About the role:

As a Learning & Development (L&D) Executive, you will play a key role in supporting the administration and execution of learning and development programs across the organisation. You will assist in ensuring that training records are well-maintained and up-to-date, and engage frequently with our staff and external training providers to meet the company’s learning needs. This role is perfect for someone who’s passionate about people development, highly detail-oriented, and eager to learn and grow with our colleagues.

What you will be doing:

• Oversee the administration of course registration, certification processes, training subsidies, and payment management.
• Maintain comprehensive training records and evaluate the effectiveness of training programs to ensure they support present and future organizational goals
• Conduct regular reviews and update internal and external training courses to ensure relevance and alignment with business goals.
• Partner with management and business leaders to assess and identify training needs across the organization.
• Source, evaluate, and collaborate with external training providers to design and deliver tailored learning solutions.
• Manage and communicate the organization’s training calendar, course offerings, Standard Operating Procedures (SOP), and training policies.
• Lead and manage mentorship programs and other internal development initiatives to foster continuous learning.

What we’re looking for someone who’s:

• At least 3 years of experience in Learning & Development.
• Preferred qualifications include Advanced Certificate in Training and Assessment (ACTA) or Advanced Certificate in Learning and Performance (ACLP).
• A Diploma or higher qualification in Human Resource Management.

Why Knight Frank?

• Lots of opportunities for growth and career development.
• A supportive, collaborative team that values what you bring to the table.
• Continuous learning and development to help you advance.

If you’re ready to make an impact and grow your career in property management, we’d love to hear from you!