14 Short Term jobs in the United Kingdom

Role:-

Managing all aspects of the research process, including methodology selection, data collection and analysis, prototyping, back-testing, and performance monitoring

Improvement of existing strategies

Portfolio optimization

Evaluating new datasets for alpha potential

Contributing to the continuous improvement of the investment process and the team’s research and trading infrastructure

Requirements:-

Excellent academic credentials, (best if top University, quantitative discipline, advanced degree, Finance is a plus);

Relevant market experience, (systematic investing and macro). Ideally you will have experience in short term macro futures.

Strong technical/programming skills

Mature individual with collegial interpersonal skills

This role is ideal for a quant who has spent 3-4 years in one place and looking to transition into a very collaborative set up where they can work very closely with management on the development of strategies.

Please send a PDF resume to

About the Role

We are seeking a technical expert to manage transformation projects through teams implementing innovative Aircraft Line Maintenance and Short-Term planning projects. These initiatives will leverage artificial intelligence tools and other advanced digital technologies to optimise aircraft health monitoring and short-term maintenance planning within the airline’s Line Maintenance and Short-Term planning Technical Operations environments.

Please note this is not a data science or IT development role. The successful candidate will act as a Project Manager working closely with AI labs, data scientists, and operational experts to support the development and integration of AI-powered tools and other innovative technologies. The emphasis is on applying these solutions to drive business transformation within Technical Operations and Maintenance, Repair & Overhaul (MRO) functions.

Key focus areas will include:

• Optimisation of aircraft health monitoring and predictive failure detection in Line Maintenance environments
• Development of predictive scheduling and anomaly detection tools
• Short-term planning and task assignment optimisation for Line Maintenance
• Deployment of technician decision-support copilots
• Development of integrated operational and Line Maintenance performance dashboards
• Next-generation labour and skills planning for Line Maintenance

The role aims to increase aircraft availability, reduce operational disruptions, and optimise maintenance costs. It requires a strong understanding of airline maintenance processes and supply chain dynamics, combined with the ability to bridge the gap between maintenance and engineering technical teams, operational stakeholders, and the AI lab and data scientists.

The successful candidate will act as a key facilitator, ensuring that innovative tools and models are developed collaboratively and in alignment with operational realities and strategic business needs. This is a role that brings digital transformation into one of the most safety-critical and time-sensitive areas of the airline industry, ensuring that technological innovation is both practical and impactful.

Key Responsibilities

• Act as a Project Manager for the airline group’s predictive maintenance digital roadmap/strategy with focus on line operations and short-term planning.
• Help coordinate cross-functional teams across engineering, line maintenance, operations control, and digital/tech units to ensure alignment and adoption of AI-enabled solutions.
• Lead the project management of AI-powered tools for sensor data analysis, predictive maintenance scheduling, and short-term planning optimisation.
• Validate use cases and ensure scalability of predictive maintenance solutions across multiple operating companies (OpCos).
• Engage stakeholders and foster change management to embed predictive maintenance practices into day-to-day line maintenance workflows.
• Monitor and communicate KPIs to demonstrate impact on safety, operational reliability, aircraft availability, and cost efficiency.

Required Qualifications & Experience

• Degree in Aeronautical Engineering, Mechanical Engineering, or a related technical discipline.
• Extensive experience in aircraft maintenance with strong exposure to line maintenance and short-term planning.
• Solid knowledge of predictive maintenance methodologies, health monitoring systems, and planning optimisation tools.
• Proven track record of leading transformation or digitalisation projects in maintenance or operational environments.
• Native / Bilingual in English.

Ideal Candidate Profile

• Ability to bridge engineering expertise with data/AI-driven innovation.
• Familiarity with digital maintenance platforms, planning systems, and real-time operational dashboards.
• Strategic mindset with excellent communication and stakeholder management skills.
• Ability to operate effectively in a cross-functional, multicultural environment.
• Passion for driving innovation and digital transformation in the aviation industry.

What We Offer

• The opportunity to accelerate your career at the forefront of predictive maintenance and digital line operations, leading high-impact projects across a global aviation group.
• Continuous development of technical, leadership, and digital skills in a collaborative environment that fosters innovation and professional growth.

About the Role

We are seeking a technical expert to manage transformation projects through teams implementing innovative Aircraft Line Maintenance and Short-Term planning projects. These initiatives will leverage artificial intelligence tools and other advanced digital technologies to optimise aircraft health monitoring and short-term maintenance planning within the airline’s Line Maintenance and Short-Term planning Technical Operations environments.

Please note this is not a data science or IT development role. The successful candidate will act as a Project Manager working closely with AI labs, data scientists, and operational experts to support the development and integration of AI-powered tools and other innovative technologies. The emphasis is on applying these solutions to drive business transformation within Technical Operations and Maintenance, Repair & Overhaul (MRO) functions.

Key focus areas will include:

• Optimisation of aircraft health monitoring and predictive failure detection in Line Maintenance environments
• Development of predictive scheduling and anomaly detection tools
• Short-term planning and task assignment optimisation for Line Maintenance
• Deployment of technician decision-support copilots
• Development of integrated operational and Line Maintenance performance dashboards
• Next-generation labour and skills planning for Line Maintenance

The role aims to increase aircraft availability, reduce operational disruptions, and optimise maintenance costs. It requires a strong understanding of airline maintenance processes and supply chain dynamics, combined with the ability to bridge the gap between maintenance and engineering technical teams, operational stakeholders, and the AI lab and data scientists.

The successful candidate will act as a key facilitator, ensuring that innovative tools and models are developed collaboratively and in alignment with operational realities and strategic business needs. This is a role that brings digital transformation into one of the most safety-critical and time-sensitive areas of the airline industry, ensuring that technological innovation is both practical and impactful.

Key Responsibilities

• Act as a Project Manager for the airline group’s predictive maintenance digital roadmap/strategy with focus on line operations and short-term planning.
• Help coordinate cross-functional teams across engineering, line maintenance, operations control, and digital/tech units to ensure alignment and adoption of AI-enabled solutions.
• Lead the project management of AI-powered tools for sensor data analysis, predictive maintenance scheduling, and short-term planning optimisation.
• Validate use cases and ensure scalability of predictive maintenance solutions across multiple operating companies (OpCos).
• Engage stakeholders and foster change management to embed predictive maintenance practices into day-to-day line maintenance workflows.
• Monitor and communicate KPIs to demonstrate impact on safety, operational reliability, aircraft availability, and cost efficiency.

Required Qualifications & Experience

• Degree in Aeronautical Engineering, Mechanical Engineering, or a related technical discipline.
• Extensive experience in aircraft maintenance with strong exposure to line maintenance and short-term planning.
• Solid knowledge of predictive maintenance methodologies, health monitoring systems, and planning optimisation tools.
• Proven track record of leading transformation or digitalisation projects in maintenance or operational environments.
• Native / Bilingual in English.

Ideal Candidate Profile

• Ability to bridge engineering expertise with data/AI-driven innovation.
• Familiarity with digital maintenance platforms, planning systems, and real-time operational dashboards.
• Strategic mindset with excellent communication and stakeholder management skills.
• Ability to operate effectively in a cross-functional, multicultural environment.
• Passion for driving innovation and digital transformation in the aviation industry.

What We Offer

• The opportunity to accelerate your career at the forefront of predictive maintenance and digital line operations, leading high-impact projects across a global aviation group.
• Continuous development of technical, leadership, and digital skills in a collaborative environment that fosters innovation and professional growth.

About the Role

We are seeking a technical expert to manage transformation projects through teams implementing innovative Aircraft Line Maintenance and Short-Term planning projects. These initiatives will leverage artificial intelligence tools and other advanced digital technologies to optimise aircraft health monitoring and short-term maintenance planning within the airline’s Line Maintenance and Short-Term planning Technical Operations environments.

Please note this is not a data science or IT development role. The successful candidate will act as a Project Manager working closely with AI labs, data scientists, and operational experts to support the development and integration of AI-powered tools and other innovative technologies. The emphasis is on applying these solutions to drive business transformation within Technical Operations and Maintenance, Repair & Overhaul (MRO) functions.

Key focus areas will include:

• Optimisation of aircraft health monitoring and predictive failure detection in Line Maintenance environments
• Development of predictive scheduling and anomaly detection tools
• Short-term planning and task assignment optimisation for Line Maintenance
• Deployment of technician decision-support copilots
• Development of integrated operational and Line Maintenance performance dashboards
• Next-generation labour and skills planning for Line Maintenance

The role aims to increase aircraft availability, reduce operational disruptions, and optimise maintenance costs. It requires a strong understanding of airline maintenance processes and supply chain dynamics, combined with the ability to bridge the gap between maintenance and engineering technical teams, operational stakeholders, and the AI lab and data scientists.

The successful candidate will act as a key facilitator, ensuring that innovative tools and models are developed collaboratively and in alignment with operational realities and strategic business needs. This is a role that brings digital transformation into one of the most safety-critical and time-sensitive areas of the airline industry, ensuring that technological innovation is both practical and impactful.

Key Responsibilities

• Act as a Project Manager for the airline group’s predictive maintenance digital roadmap/strategy with focus on line operations and short-term planning.
• Help coordinate cross-functional teams across engineering, line maintenance, operations control, and digital/tech units to ensure alignment and adoption of AI-enabled solutions.
• Lead the project management of AI-powered tools for sensor data analysis, predictive maintenance scheduling, and short-term planning optimisation.
• Validate use cases and ensure scalability of predictive maintenance solutions across multiple operating companies (OpCos).
• Engage stakeholders and foster change management to embed predictive maintenance practices into day-to-day line maintenance workflows.
• Monitor and communicate KPIs to demonstrate impact on safety, operational reliability, aircraft availability, and cost efficiency.

Required Qualifications & Experience

• Degree in Aeronautical Engineering, Mechanical Engineering, or a related technical discipline.
• Extensive experience in aircraft maintenance with strong exposure to line maintenance and short-term planning.
• Solid knowledge of predictive maintenance methodologies, health monitoring systems, and planning optimisation tools.
• Proven track record of leading transformation or digitalisation projects in maintenance or operational environments.
• Native / Bilingual in English.

Ideal Candidate Profile

• Ability to bridge engineering expertise with data/AI-driven innovation.
• Familiarity with digital maintenance platforms, planning systems, and real-time operational dashboards.
• Strategic mindset with excellent communication and stakeholder management skills.
• Ability to operate effectively in a cross-functional, multicultural environment.
• Passion for driving innovation and digital transformation in the aviation industry.

What We Offer

• The opportunity to accelerate your career at the forefront of predictive maintenance and digital line operations, leading high-impact projects across a global aviation group.
• Continuous development of technical, leadership, and digital skills in a collaborative environment that fosters innovation and professional growth.

About the Role

We are seeking a technical expert to manage transformation projects through teams implementing innovative Aircraft Line Maintenance and Short-Term planning projects. These initiatives will leverage artificial intelligence tools and other advanced digital technologies to optimise aircraft health monitoring and short-term maintenance planning within the airline’s Line Maintenance and Short-Term planning Technical Operations environments.

Please note this is not a data science or IT development role. The successful candidate will act as a Project Manager working closely with AI labs, data scientists, and operational experts to support the development and integration of AI-powered tools and other innovative technologies. The emphasis is on applying these solutions to drive business transformation within Technical Operations and Maintenance, Repair & Overhaul (MRO) functions.

Key focus areas will include:

• Optimisation of aircraft health monitoring and predictive failure detection in Line Maintenance environments
• Development of predictive scheduling and anomaly detection tools
• Short-term planning and task assignment optimisation for Line Maintenance
• Deployment of technician decision-support copilots
• Development of integrated operational and Line Maintenance performance dashboards
• Next-generation labour and skills planning for Line Maintenance

The role aims to increase aircraft availability, reduce operational disruptions, and optimise maintenance costs. It requires a strong understanding of airline maintenance processes and supply chain dynamics, combined with the ability to bridge the gap between maintenance and engineering technical teams, operational stakeholders, and the AI lab and data scientists.

The successful candidate will act as a key facilitator, ensuring that innovative tools and models are developed collaboratively and in alignment with operational realities and strategic business needs. This is a role that brings digital transformation into one of the most safety-critical and time-sensitive areas of the airline industry, ensuring that technological innovation is both practical and impactful.

Key Responsibilities

• Act as a Project Manager for the airline group’s predictive maintenance digital roadmap/strategy with focus on line operations and short-term planning.
• Help coordinate cross-functional teams across engineering, line maintenance, operations control, and digital/tech units to ensure alignment and adoption of AI-enabled solutions.
• Lead the project management of AI-powered tools for sensor data analysis, predictive maintenance scheduling, and short-term planning optimisation.
• Validate use cases and ensure scalability of predictive maintenance solutions across multiple operating companies (OpCos).
• Engage stakeholders and foster change management to embed predictive maintenance practices into day-to-day line maintenance workflows.
• Monitor and communicate KPIs to demonstrate impact on safety, operational reliability, aircraft availability, and cost efficiency.

Required Qualifications & Experience

• Degree in Aeronautical Engineering, Mechanical Engineering, or a related technical discipline.
• Extensive experience in aircraft maintenance with strong exposure to line maintenance and short-term planning.
• Solid knowledge of predictive maintenance methodologies, health monitoring systems, and planning optimisation tools.
• Proven track record of leading transformation or digitalisation projects in maintenance or operational environments.
• Native / Bilingual in English.

Ideal Candidate Profile

• Ability to bridge engineering expertise with data/AI-driven innovation.
• Familiarity with digital maintenance platforms, planning systems, and real-time operational dashboards.
• Strategic mindset with excellent communication and stakeholder management skills.
• Ability to operate effectively in a cross-functional, multicultural environment.
• Passion for driving innovation and digital transformation in the aviation industry.

What We Offer

• The opportunity to accelerate your career at the forefront of predictive maintenance and digital line operations, leading high-impact projects across a global aviation group.
• Continuous development of technical, leadership, and digital skills in a collaborative environment that fosters innovation and professional growth.

About the Role

We are seeking a senior technical expert to lead strategy and drive transformation through the coordination of teams implementing innovative Aircraft Line Maintenance and Short-Term planning projects. These initiatives will leverage artificial intelligence tools and other advanced digital technologies to optimise aircraft health monitoring and short-term maintenance planning within the airline’s Line Maintenance and Short-Term planning Technical Operations environments.

Please note this is not a data science or IT development role. The successful candidate will act as a Subject Matter Expert (SME), working closely with AI labs, data scientists, and operational experts to guide the development and integration of AI-powered tools and other innovative technologies. The emphasis is on applying these solutions to drive business transformation within Technical Operations and Maintenance, Repair & Overhaul (MRO) functions.

Key focus areas will include:

• Optimisation of aircraft health monitoring and predictive failure detection in Line Maintenance environments
• Development of predictive scheduling and anomaly detection tools
• Short-term planning and task assignment optimisation for Line Maintenance
• Deployment of technician decision-support copilots
• Development of integrated operational and Line Maintenance performance dashboards
• Next-generation labour and skills planning for Line Maintenance.

The role aims to increase aircraft availability, reduce operational disruptions, and optimise maintenance costs. It requires a strong understanding of airline maintenance processes and supply chain dynamics, combined with the ability to bridge the gap between maintenance and engineering technical teams, operational stakeholders, and the AI lab and data scientists.

The successful candidate will act as a key facilitator, ensuring that innovative tools and models are developed collaboratively and in alignment with operational realities and strategic business needs. This is a strategic leadership position that brings digital transformation into one of the most safety-critical and time-sensitive areas of the airline industry, ensuring that technological innovation is both practical and impactful.

Key Responsibilities

• Define and execute the airline group’s predictive maintenance digital roadmap/strategy with focus on line operations and short-term planning.
• Coordinate cross-functional teams across engineering, line maintenance, operations control, and digital/tech units to ensure alignment and adoption of AI-enabled solutions.
• Lead the deployment of AI-powered tools for sensor data analysis, predictive maintenance scheduling, and short-term planning optimisation.
• Validate use cases and ensure scalability of predictive maintenance solutions across multiple operating companies (OpCos).
• Drive change management and stakeholder engagement to embed predictive maintenance practices into day-to-day line maintenance workflows.
• Monitor and communicate KPIs to demonstrate impact on safety, operational reliability, aircraft availability, and cost efficiency.

Required Qualifications & Experience

• Degree in Aeronautical Engineering, Mechanical Engineering, or a related technical discipline.
• Extensive experience in aircraft maintenance with strong exposure to line maintenance and short-term planning.
• Solid knowledge of predictive maintenance methodologies, health monitoring systems, and planning optimisation tools.
• Proven track record of leading transformation or digitalisation projects in maintenance or operational environments.
• Native / Bilingual in English.

Ideal Candidate Profile

• Ability to bridge engineering expertise with data/AI-driven innovation.
• Familiarity with digital maintenance platforms, planning systems, and real-time operational dashboards.
• Strategic mindset with excellent communication and stakeholder management skills.
• Ability to operate effectively in a cross-functional, multicultural environment.
• Passion for driving innovation and digital transformation in the aviation industry.

What We Offer

• The opportunity to accelerate your career at the forefront of predictive maintenance and digital line operations, leading high-impact projects across a global aviation group.
• Continuous development of technical, leadership, and digital skills in a collaborative environment that fosters innovation and professional growth.

About the Role

We are seeking a senior technical expert to lead strategy and drive transformation through the coordination of teams implementing innovative Aircraft Line Maintenance and Short-Term planning projects. These initiatives will leverage artificial intelligence tools and other advanced digital technologies to optimise aircraft health monitoring and short-term maintenance planning within the airline’s Line Maintenance and Short-Term planning Technical Operations environments.

Please note this is not a data science or IT development role. The successful candidate will act as a Subject Matter Expert (SME), working closely with AI labs, data scientists, and operational experts to guide the development and integration of AI-powered tools and other innovative technologies. The emphasis is on applying these solutions to drive business transformation within Technical Operations and Maintenance, Repair & Overhaul (MRO) functions.

Key focus areas will include:

• Optimisation of aircraft health monitoring and predictive failure detection in Line Maintenance environments
• Development of predictive scheduling and anomaly detection tools
• Short-term planning and task assignment optimisation for Line Maintenance
• Deployment of technician decision-support copilots
• Development of integrated operational and Line Maintenance performance dashboards
• Next-generation labour and skills planning for Line Maintenance.

The role aims to increase aircraft availability, reduce operational disruptions, and optimise maintenance costs. It requires a strong understanding of airline maintenance processes and supply chain dynamics, combined with the ability to bridge the gap between maintenance and engineering technical teams, operational stakeholders, and the AI lab and data scientists.

The successful candidate will act as a key facilitator, ensuring that innovative tools and models are developed collaboratively and in alignment with operational realities and strategic business needs. This is a strategic leadership position that brings digital transformation into one of the most safety-critical and time-sensitive areas of the airline industry, ensuring that technological innovation is both practical and impactful.

Key Responsibilities

• Define and execute the airline group’s predictive maintenance digital roadmap/strategy with focus on line operations and short-term planning.
• Coordinate cross-functional teams across engineering, line maintenance, operations control, and digital/tech units to ensure alignment and adoption of AI-enabled solutions.
• Lead the deployment of AI-powered tools for sensor data analysis, predictive maintenance scheduling, and short-term planning optimisation.
• Validate use cases and ensure scalability of predictive maintenance solutions across multiple operating companies (OpCos).
• Drive change management and stakeholder engagement to embed predictive maintenance practices into day-to-day line maintenance workflows.
• Monitor and communicate KPIs to demonstrate impact on safety, operational reliability, aircraft availability, and cost efficiency.

Required Qualifications & Experience

• Degree in Aeronautical Engineering, Mechanical Engineering, or a related technical discipline.
• Extensive experience in aircraft maintenance with strong exposure to line maintenance and short-term planning.
• Solid knowledge of predictive maintenance methodologies, health monitoring systems, and planning optimisation tools.
• Proven track record of leading transformation or digitalisation projects in maintenance or operational environments.
• Native / Bilingual in English.

Ideal Candidate Profile

• Ability to bridge engineering expertise with data/AI-driven innovation.
• Familiarity with digital maintenance platforms, planning systems, and real-time operational dashboards.
• Strategic mindset with excellent communication and stakeholder management skills.
• Ability to operate effectively in a cross-functional, multicultural environment.
• Passion for driving innovation and digital transformation in the aviation industry.

What We Offer

• The opportunity to accelerate your career at the forefront of predictive maintenance and digital line operations, leading high-impact projects across a global aviation group.
• Continuous development of technical, leadership, and digital skills in a collaborative environment that fosters innovation and professional growth.

Background

We are an established health and safety consultancy based in Glasgow. We are looking for a highly experienced Construction Health and Safety Advisor for an ongoing renewables project in the North East of England .

Role

This short-term contract role will be site based for approximately 6 - 9 months, MON - FRI 8.00 - 16.30. We require someone with significant experience, knowledge and skills in construction safety, preferably with renewables and / or utilities experience.

We are looking for a candidate with the following qualities / qualifications:

• A degree in a safety, construction or design related field (preferable)
• NEBOSH Construction Certificate as a minimum
• CSCS Professionally Qualified card
• SSSTS / SMSTS (preferable)
• Experienced in UK construction safety and / or renewables
• Significant knowledge of the CDM 2015 Regulations
• Experience of working on site within a busy, customer focused environment
• Able to engage with colleagues and clients at all levels
• Develop strong working relationships
• Pragmatic and can work independently
• Full UK Driving License and willingness to travel as required
• Member of IOSH and APS (preferable)

Job Type

Full-time, Contract - Immediate Start

Personal attributes

Attention to Detail

• Ability to identify hazards and risks others may overlook
• Ensures all safety procedures and documentation are accurate and complete

Strong Communication Skills

• Clearly communicates safety requirements to workers, supervisors, and stakeholders
• Delivers toolbox talks, inductions, and safety briefings effectively

Analytical Thinking

• Assesses risks and incident reports to recommend practical improvements
• Investigates incidents methodically to determine root causes

Approachable & Personable

• Builds trust with site workers to encourage the reporting of hazards or unsafe practices.
• Promotes a positive safety culture without being overly authoritarian

Proactive Attitude

• Anticipates potential safety issues before they become incidents.
• Constantly looks for ways to improve safety on site

Confidence & Assertiveness

• Able to challenge unsafe behaviour or decisions, even under pressure
• Stands firm on safety matters despite potential pushback from site teams

Organisational Skills

• Manages inspections, audits, training sessions, and compliance paperwork efficiently.
• Keeps track of statutory requirements and deadlines (e.g., Site Inspections, PPE checks, PTW, COSHH assessments, etc).

Adaptability

• Quickly adjusts to different construction phases, contractors, and working conditions.
• Keeps calm and resourceful during emergencies or changes on site

Commitment to Continuous Learning

• Keeps up to date with changes in legislation, regulations, and best practice
• Willing to attend CPD (Continuing Professional Development) training

Integrity and Professionalism

• Upholds ethical standards and compliance, even under pressure to cut corners
• Maintains confidentiality and a professional attitude on site

Experience

• Construction Health and Safety: Min 5 years (required)