21 Autonomous Vehicles jobs in the United Kingdom

• Oversee the day-to-day operations of a large and diverse fleet, including conventional and autonomous vehicles.
• Develop and implement operational strategies to maximise fleet efficiency, uptime, and cost-effectiveness.
• Ensure strict adherence to all relevant transportation regulations, safety standards, and compliance requirements, including those specific to autonomous vehicle operation.
• Manage and mentor a remote team of fleet coordinators, dispatchers, and maintenance supervisors.
• Develop and maintain relationships with vehicle manufacturers, maintenance providers, technology suppliers, and regulatory bodies.
• Implement and manage cutting-edge fleet management software and telematics systems to monitor vehicle performance, track assets, and optimise routes.
• Lead initiatives for the integration and operationalisation of autonomous vehicle technology, ensuring seamless deployment and monitoring.
• Develop and manage the fleet operations budget, identifying opportunities for cost reduction and efficiency gains.
• Establish and monitor key performance indicators (KPIs) for fleet operations, reporting on metrics such as fuel efficiency, maintenance costs, vehicle utilisation, and safety incidents.
• Oversee preventative maintenance programs to ensure vehicle reliability and longevity.
• Contribute to the strategic planning for fleet expansion, technology adoption, and operational improvements.
• Investigate and resolve operational issues, incidents, and accidents promptly and effectively.

• A Bachelor's degree in Logistics, Supply Chain Management, Business Administration, Engineering, or a related field.
• A minimum of 7-10 years of experience in fleet management, with a significant focus on large commercial or industrial fleets.
• Proven experience in managing complex transportation operations, preferably involving advanced technologies or automation.
• Demonstrated understanding of the operational, regulatory, and safety challenges associated with autonomous vehicle deployment.
• Strong knowledge of fleet management software, telematics, GPS tracking systems, and data analytics.
• Excellent leadership, team management, and communication skills.
• Proficiency in financial management and budget control.
• Experience in developing and implementing operational policies and procedures.
• A strong commitment to safety, compliance, and operational excellence.
• Ability to adapt to rapidly evolving technological advancements in the transport sector.

• Oversee the daily operations of a large-scale autonomous vehicle fleet, ensuring maximum uptime and efficiency.
• Develop and implement operational strategies, policies, and procedures for fleet deployment, maintenance, and utilization.
• Monitor vehicle performance, safety, and operational data in real-time using advanced telematics and fleet management systems.
• Manage fleet deployment schedules, routing, and charging/refueling logistics.
• Coordinate with maintenance teams and service providers to ensure vehicles are kept in optimal condition.
• Establish and track key performance indicators (KPIs) related to fleet utilization, cost, safety, and customer satisfaction.
• Ensure strict adherence to all safety protocols and regulatory requirements governing autonomous vehicle operations.
• Collaborate closely with engineering and software teams to provide feedback on vehicle performance and identify areas for improvement.
• Manage operational budgets, including costs associated with energy, maintenance, and personnel.
• Develop and implement contingency plans for operational disruptions.
• Lead, mentor, and manage a team of remote fleet operations specialists.
• Stay abreast of advancements in autonomous vehicle technology, fleet management, and regulatory landscapes.

• Bachelor's degree in Logistics, Supply Chain Management, Business Administration, Engineering, or a related field. Master's degree is a plus.
• Minimum of 8 years of experience in fleet operations management, logistics, or a related field, with specific experience in managing complex fleets.
• Demonstrated experience or a strong understanding of autonomous vehicle technology and operations.
• Proficiency with fleet management software, telematics systems, and data analysis tools.
• Strong understanding of vehicle maintenance, repair, and charging infrastructure.
• Exceptional leadership, communication, and interpersonal skills, with proven ability to manage remote teams.
• Strong analytical and problem-solving abilities, with a data-driven decision-making approach.
• Ability to develop and implement strategic operational plans.
• Familiarity with transportation regulations and safety standards.
• High degree of self-motivation and ability to work effectively independently in a remote environment.

• Design, develop, and implement algorithms for autonomous vehicle systems (perception, localization, path planning, control).
• Develop and integrate sensor fusion techniques for robust environment perception.
• Collaborate with hardware and software teams to ensure seamless system integration.
• Conduct rigorous testing and validation of autonomous driving features in simulation and real-world environments.
• Optimize algorithms for real-time performance and computational efficiency.
• Troubleshoot and debug complex system issues.
• Stay abreast of the latest research and advancements in autonomous driving technology.
• Mentor junior engineers and contribute to team knowledge sharing.
• Document system designs, algorithms, and test results.
• Contribute to the overall architecture and strategy of the autonomous driving platform.
• Work closely with safety engineers to ensure compliance with automotive safety standards.

• Master's or Ph.D. in Computer Science, Robotics, Electrical Engineering, or a related field.
• Extensive experience in the development of autonomous systems, robotics, or AI.
• Proficiency in programming languages such as C++, Python, and relevant robotics frameworks (e.g., ROS).
• Strong understanding of sensor technologies (LiDAR, Radar, Cameras), sensor fusion, and computer vision.
• Experience with control theory, path planning algorithms, and decision-making logic.
• Familiarity with machine learning frameworks and techniques relevant to autonomous driving.
• Proven ability to work independently and collaboratively in a remote, fast-paced environment.
• Excellent analytical, problem-solving, and debugging skills.
• Strong communication and teamwork abilities.
• Experience with simulation tools and hardware-in-the-loop testing.

• Lead the strategic vision and execution plan for the adoption and enhancement of autonomous mining systems and technologies.
• Evaluate, select, and integrate cutting-edge automation solutions, including autonomous haulage, drilling, and other mobile equipment.
• Develop and refine operational models for remote fleet management and supervision centres.
• Conduct feasibility studies and cost-benefit analyses for new autonomous mining deployments.
• Collaborate with cross-functional teams, including operations, engineering, IT, and external technology partners.
• Develop and implement robust training programs for personnel involved in operating and maintaining autonomous systems.
• Oversee the performance monitoring and continuous improvement of autonomous fleets, identifying areas for optimisation.
• Ensure the safety, security, and reliability of all autonomous operations, adhering to stringent industry standards.
• Stay abreast of emerging trends and disruptive technologies in automation, AI, and robotics within the mining sector.
• Provide expert technical guidance and mentorship to engineering and operational teams.
• Develop and manage project plans, budgets, and timelines for autonomous system implementation.
• Contribute to the development of company-wide standards and best practices for mining automation.
• Engage with regulatory bodies and industry associations to ensure compliance and contribute to industry advancement.

• Master's or Ph.D. in Mining Engineering, Electrical Engineering, Computer Science, or a related field.
• Minimum of 10-15 years of progressive experience in mining operations and engineering, with a significant focus on automation and technology implementation.
• Proven experience in the design, deployment, and management of autonomous mining equipment and systems (e.g., Caterpillar Command, Komatsu FrontRunner, Sandvik AutoMine).
• Deep understanding of mining processes, fleet management, and operational optimization.
• Expertise in control systems, robotics, artificial intelligence, and data analytics as applied to mining.
• Strong project management skills, with a track record of delivering complex technical projects on time and within budget.
• Excellent leadership, communication, and stakeholder management abilities.
• Ability to work effectively in a remote, global team environment and travel as required for site visits.
• Proficiency in relevant simulation and modelling software.
• A strategic mindset with the ability to translate technological advancements into tangible business value.
• Relevant professional certifications and publications are highly regarded.

• Lead the design, development, and implementation of cutting-edge AI algorithms for autonomous systems.
• Define research roadmaps and identify key scientific challenges and opportunities.
• Conduct rigorous theoretical and empirical research, including literature reviews and experimental design.
• Develop and train advanced machine learning and deep learning models.
• Collaborate with software engineering teams to integrate research prototypes into production systems.
• Publish research findings in leading academic conferences and journals.
• Mentor and guide a team of AI researchers and engineers, fostering a collaborative and innovative environment.
• Stay current with the latest advancements in AI, machine learning, and related fields.
• Present research findings and project updates to technical and non-technical stakeholders.
• Contribute to patent applications and intellectual property development.

• Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
• 5+ years of hands-on research experience in AI, with a strong focus on autonomous systems, robotics, or related areas.
• Proven expertise in deep learning frameworks (e.g., TensorFlow, PyTorch) and programming languages (e.g., Python).
• Experience with computer vision, reinforcement learning, and/or sensor fusion techniques.
• Demonstrated ability to lead research projects and mentor team members.
• Strong publication record in reputable AI conferences/journals is highly desirable.
• Excellent problem-solving skills and a passion for tackling complex technical challenges.
• Ability to work independently and thrive in a remote, collaborative setting.

• Design, develop, and implement core algorithms for autonomous driving systems, including perception, planning, and control.
• Integrate various hardware and software modules to create robust and reliable AV systems.
• Develop and execute test plans for simulation and real-world vehicle testing, analysing results to identify areas for improvement.
• Collaborate with cross-functional teams, including software engineers, hardware engineers, and AI specialists, in a remote setting.
• Troubleshoot and debug complex system issues, identifying root causes and implementing effective solutions.
• Contribute to the definition of system requirements and architecture for future AV platforms.
• Stay current with the latest advancements in AI, machine learning, computer vision, robotics, and automotive technology.
• Maintain clear and concise documentation for designs, code, and test procedures.
• Ensure adherence to safety standards and regulatory requirements throughout the development lifecycle.
• Participate in code reviews and contribute to the continuous improvement of engineering practices.

• Master's or PhD in Computer Science, Electrical Engineering, Robotics, or a related field.
• Minimum of 5 years of professional experience in developing complex systems, with a focus on autonomous vehicles, robotics, AI, or related areas.
• Proficiency in C++ and/or Python, with experience in relevant libraries and frameworks (e.g., ROS, TensorFlow, PyTorch, OpenCV).
• Strong understanding of core AV technologies such as sensor fusion, object detection, path planning, and control algorithms.
• Experience with simulation tools and methodologies for AV development.
• Excellent analytical, problem-solving, and debugging skills.
• Exceptional communication and collaboration skills, essential for effective remote teamwork.
• Ability to work independently, manage time effectively, and deliver high-quality results in a fully remote environment.
• A strong passion for innovation and the future of mobility.
• A dedicated and secure remote workspace with reliable internet access is required.

• Lead the architectural design and development of core autonomous driving systems, including perception, planning, control, and localisation modules.
• Define system requirements, performance metrics, and validation strategies for autonomous vehicle functionalities.
• Oversee the integration of various sensors (LiDAR, radar, cameras, IMUs) and software components.
• Develop and implement advanced algorithms for object detection, tracking, prediction, and path planning.
• Collaborate closely with hardware engineers, software developers, AI researchers, and testing teams to ensure seamless system performance.
• Conduct rigorous simulations and real-world testing to validate system safety, reliability, and performance.
• Troubleshoot and resolve complex technical issues related to autonomous system integration and functionality.
• Mentor and guide a team of highly skilled engineers, fostering a culture of innovation and technical excellence.
• Stay abreast of the latest advancements in autonomous driving technology, AI, robotics, and relevant industry standards.
• Contribute to intellectual property development through patents and technical publications.

• MSc or PhD in Computer Science, Robotics, Electrical Engineering, Artificial Intelligence, or a related field.
• Minimum of 8 years of progressive experience in autonomous vehicle systems development, with at least 3 years in a leadership or senior engineering role.
• Deep expertise in at least one core area of autonomous driving (e.g., perception, planning, control).
• Strong proficiency in C++ and Python programming languages.
• Experience with robotics middleware such as ROS.
• Proven experience with sensor fusion, SLAM, or deep learning frameworks (e.g., TensorFlow, PyTorch).
• Demonstrated ability to lead complex engineering projects from concept to production.
• Excellent problem-solving, analytical, and debugging skills.
• Exceptional communication and collaboration skills, essential for effective remote teamwork.
• Experience with simulation environments (e.g., CARLA, NVIDIA Drive Sim).
• Passion for autonomous technology and a commitment to safety and innovation.

Parts Advisor (Automotive / Engineering / Agricultural)
26,000 - 28,000 (OTE 35K) + 30 Days Holiday + Training + Bonus
Carlisle, Cumbria

Are you a Parts Advisor looking for an exciting work environment where you will be engaging with local customers in this busy, dynamic and growing machinery dealership?

Do you want opportunities to develop your career through bespoke training, progression routes to management and the chance to significantly increase your earnings through overtime and bonuses?

In this role you will be responsible for dealing with clients and customers on agricultural equipment, providing quotes, checking deliveries, managing stock and assisting depot staff. This is a busy depot and a customer facing role offering plenty of variety.

This company is a market leading distributor of heavy construction and agricultural machinery in the United Kingdom. They have built a solid reputation over the last 40 years for providing the best quality equipment and have grown consistently since their start and are looking to capitalise on this growth with this recent vacancy.

This role would suit a Parts Advisor from any background looking for an exciting role offering plenty of training, career progression and overtime opportunities to significantly increase your earnings.

The Role:

• Dealing with queries as required
• Supporting the Service Department as needed
• Maintaining Stock as needed
• Monday to Friday, 39 hours with plenty of overtime available paid 1.5x - 2x rates

The Person:

• Parts Advisor
• Looking for a varied and exciting role

Reference Number: BBBH 21403

Parts, Sales, Advisor, Office, Telesales, Automotive, Construction, Machinery, Capital, Equipment, Agricultural, Pumps, Crushers, Plant, Heavy, Industrial, Carlisle, Cumbria

If you're interested in this role, click 'apply now' to forward an up-to-date copy of your CV, or call us now.

We are an equal opportunities employer and welcome applications from all suitable candidates. The salary advertised is a guideline for this position. The offered renumeration will be dependent on the extent of your experience, qualifications, and skill set.

Ernest Gordon Recruitment Limited acts as an employment agency for permanent recruitment and employment business for the supply of temporary workers. By applying for this job, you accept the T&C's, Privacy Policy and Disclaimers which can be found at our website.

Parts Advisor (Automotive / Engineering / Agricultural)
26,000 - 28,000 (OTE 35K) + 30 Days Holiday + Training + Bonus
Carlisle, Cumbria

Are you a Parts Advisor looking for an exciting work environment where you will be engaging with local customers in this busy, dynamic and growing machinery dealership?

Do you want opportunities to develop your career through bespoke training, progression routes to management and the chance to significantly increase your earnings through overtime and bonuses?

In this role you will be responsible for dealing with clients and customers on agricultural equipment, providing quotes, checking deliveries, managing stock and assisting depot staff. This is a busy depot and a customer facing role offering plenty of variety.

This company is a market leading distributor of heavy construction and agricultural machinery in the United Kingdom. They have built a solid reputation over the last 40 years for providing the best quality equipment and have grown consistently since their start and are looking to capitalise on this growth with this recent vacancy.

This role would suit a Parts Advisor from any background looking for an exciting role offering plenty of training, career progression and overtime opportunities to significantly increase your earnings.

The Role:

• Dealing with queries as required
• Supporting the Service Department as needed
• Maintaining Stock as needed
• Monday to Friday, 39 hours with plenty of overtime available paid 1.5x - 2x rates

The Person:

• Parts Advisor
• Looking for a varied and exciting role

Reference Number: BBBH 21403

Parts, Sales, Advisor, Office, Telesales, Automotive, Construction, Machinery, Capital, Equipment, Agricultural, Pumps, Crushers, Plant, Heavy, Industrial, Carlisle, Cumbria

If you're interested in this role, click 'apply now' to forward an up-to-date copy of your CV, or call us now.

We are an equal opportunities employer and welcome applications from all suitable candidates. The salary advertised is a guideline for this position. The offered renumeration will be dependent on the extent of your experience, qualifications, and skill set.

Ernest Gordon Recruitment Limited acts as an employment agency for permanent recruitment and employment business for the supply of temporary workers. By applying for this job, you accept the T&C's, Privacy Policy and Disclaimers which can be found at our website.