Location: Exeter
Salary: Up to £45k DOE
Permanent | Full-time

The Opportunity

We're working with an established business that are looking to make AI a meaningful part of how they operate.

Rather than implementing AI for the sake of it, they want to identify where the technology can genuinely make a difference, reducing manual processes, improving access to information, connecting systems, and helping teams work more effectively.

They're now looking for an AI Solutions Engineer to help make that happen.

This is a new role with plenty of scope to shape the company's approach to AI. You'll work across the business to understand existing processes, identify opportunities for AI and automation, and then design, build, and implement practical solutions.

You'll be joining at the beginning of the journey, so this would suit someone who enjoys taking an idea from "could AI help us do this?" through to a working solution people actually use.

What You'll Be Doing

You'll work closely with teams across the business to understand how they operate and where technology could improve existing processes.

That could include:

• Identifying opportunities to use AI and automation across different business functions.
• Mapping existing workflows and spotting repetitive, manual, or inefficient processes.
• Designing, prototyping and implementing AI-powered tools and workflows.
• Exploring the use of generative AI, LLMs, AI agents and intelligent automation.
• Integrating AI solutions with existing business systems, applications, and data.
• Evaluating third-party AI products and deciding where building, buying, or integrating makes most sense.
• Developing proof-of-concepts and turning successful ideas into reliable solutions.
• Working with stakeholders to gather requirements and translate business challenges into technical solutions.
• Helping establish appropriate standards around AI security, data privacy, governance, and responsible use.
• Supporting teams as new tools are introduced and helping drive adoption across the business.
• Keeping up with developments in AI and identifying technologies that could deliver genuine business value.

The role isn't about experimenting with AI in isolation. It's about finding opportunities that matter and delivering solutions that improve how the business works.

What We're Looking For

You don’t need to have years of experience in AI.

We're more interested in someone who can combine technical AI capability with commercial thinking and strong communication skills.

You'll ideally have experience with some of the following (but this could be through education):

• Building or implementing practical AI solutions.
• Generative AI and Large Language Models.
• APIs, integrations and automation.
• Python or another relevant programming language.
• AI platforms and tools such as OpenAI/Azure OpenAI, Microsoft Copilot or similar technologies.
• Prompt engineering, RAG, AI agents or intelligent workflow automation.
• Working with business systems and data.
• Taking technical projects from discovery and prototype through to implementation.

Just as importantly, you'll be comfortable speaking with non-technical stakeholders, asking the right questions and turning operational problems into practical solutions.

Experience within construction, engineering or another operationally complex environment would be useful, but isn't essential.

Why This Role?

This isn't a position where you'll inherit a long list of established AI systems to maintain.

You'll have the opportunity to help determine where AI fits within the business in the first place.

You'll work across different areas of the organisation, have the freedom to explore new technologies and play a key role in building an AI capability that can grow with the company.

For someone who likes solving problems, building things, and seeing technology make a tangible difference, there's a lot of scope to make this role your own.

This is a fully office-based role in Exeter, so applicants should be able to commute to the office daily. We welcome applications from both recent graduates with relevant qualifications and candidates with commercial experience. Unfortunately, visa sponsorship is not available for this position.

Location: Remote (UK) 
Salary: DOE

About the Role

We're looking for a Data Annotation & Tooling Engineer to help build the high-quality datasets that underpin cutting-edge computer vision and AI systems.

This is more than a traditional data annotation role. You'll be responsible for developing and improving annotation workflows, maintaining tooling, ensuring dataset quality, and working closely with machine learning engineers to create reliable training data for advanced computer vision models.

You'll play a key role in ensuring data quality throughout the machine learning lifecycle, helping improve model accuracy by creating robust, well-structured datasets.

Responsibilities

• Prepare, curate and annotate large-scale image and video datasets.
• Develop and improve annotation workflows and tooling.
• Configure and maintain annotation platforms.
• Create annotation guidelines and documentation.
• Validate dataset quality and consistency.
• Perform quality assurance on annotated datasets.
• Work closely with Machine Learning Engineers to understand model requirements.
• Identify labelling inconsistencies and improve annotation standards.
• Assist with dataset versioning and management.
• Automate repetitive annotation and validation tasks where possible using Python.

Required Skills & Experience

• Experience working with computer vision datasets.
• Experience using annotation tools.
• Strong attention to detail.
• Python scripting experience.
• Comfortable handling large datasets.
• Understanding of image classification, object detection and segmentation tasks.
• Experience creating clear documentation and annotation guidelines.
• Excellent organisational skills.

Desirable

• Experience with PyTorch datasets.
• Experience with MLOps or data pipelines.
• Understanding of computer vision model training.
• Knowledge of active learning workflows.
• Experience with Git.
• Robotics or autonomous systems experience.

What You'll Be Doing

You'll work directly with the AI and Computer Vision engineers, helping build the datasets that power next-generation autonomous systems. The role combines technical problem-solving with meticulous attention to detail and offers the opportunity to influence how AI systems are trained and evaluated.

£65,000 - £90,000 DOE | Remote

Company Overview

Our client develops advanced software solutions that enhance real-world operational capability through robotics, autonomy and intelligent control systems. Their work focuses on translating complex physical environments into reliable software that performs in demanding real-world conditions.

Role Overview

We are seeking a Senior Robotics Software Engineer to develop, test and deploy software for autonomous and semi-autonomous robotic systems. Working across simulation, control systems, navigation and hardware integration, you will play a key role in delivering robust real-world solutions whilst helping establish engineering best practice across the robotics function.

This role would suit someone who enjoys solving complex autonomy challenges and has experience developing software for UAVs, robotic platforms or advanced control systems.

Responsibilities

• Develop and test robotics software using Python and C++

• Design and implement control systems for autonomous and semi-autonomous platforms

• Support prototyping, simulation, validation and optimisation of guidance and control systems

• Integrate sensors, actuators and communication interfaces

• Develop navigation, localisation and autonomy capabilities

• Provide technical leadership and establish engineering best practices across robotics projects

• Support knowledge sharing and technical development within the wider team

Requirements

• Degree in Computer Science, Engineering, Robotics or a related discipline advantageous

• Commercial experience developing software for robotic systems

• Strong Python and C++ development skills

• Experience with ROS2

• Knowledge of control methodologies including PID and Model Predictive Control (MPC)

• Strong software engineering and problem-solving capabilities

• Experience delivering production-quality robotics solutions

Desirable Skills

• UAV or drone development experience

• Fixed-wing or quadcopter systems

• SLAM (Simultaneous Localisation and Mapping)

• Navigation and autonomy systems

• Sensor fusion and state estimation

• Gazebo, Isaac Sim, MATLAB/Simulink or similar simulation platforms

• Real-time systems development

• Reinforcement learning

• Pybind11

What We're Looking For

• Demonstrable experience delivering robotics projects

• Strong software engineering principles and coding standards

• Ability to take ownership of technical challenges

• Someone passionate about robotics and autonomy, whether through commercial experience or personal projects

Why Join?

This is an opportunity to work on genuinely cutting-edge technology alongside a highly intelligent and curious team tackling complex real-world challenges. You'll be part of a business where your ideas and contributions will have a direct impact, working on projects that push the boundaries of machine learning, robotics and computer vision.

The team values integrity, intelligence and curiosity, creating an environment where innovation is encouraged and technical excellence is celebrated. If you enjoy solving difficult problems, learning from talented colleagues and seeing your work make a tangible difference, this could be an exceptional next step in your career.

Unfortunately, sponsorship is not available for this role. Whilst this is a remote-first position, occasional travel for team collaboration and company meetings will be required, therefore candidates should be based in the UK.

Up to £80,000 DOE | UK Remote

About the Role

We are seeking an experienced Machine Learning Engineer to develop, train and optimise advanced computer vision and machine learning systems for deployment in constrained edge environments.

This role is ideal for someone who combines strong machine learning expertise with excellent software engineering capability and enjoys solving difficult performance, optimisation and deployment challenges. You will work on cutting-edge computer vision systems, helping deliver highly efficient machine learning models that operate in demanding real-world conditions.

Responsibilities

• Develop advanced computer vision and machine learning solutions
• Design, train and optimise deep learning models using PyTorch
• Improve model performance, efficiency and scalability
• Develop solutions capable of operating on constrained edge hardware
• Work with large-scale image and sensor datasets
• Support synthetic data generation and model evaluation
• Contribute to technical direction and machine learning best practice across the business

Requirements

• Commercial experience developing machine learning solutions
• Strong PyTorch expertise
• Excellent Python development skills
• Experience with computer vision techniques and frameworks
• Strong understanding of GPU architectures and model optimisation
• Excellent software engineering and problem-solving abilities
• Experience working with complex datasets and real-world machine learning challenges

Desirable Skills

• CUDA
• TensorRT
• Triton
• Quantised model training
• Edge AI deployment
• Computer Vision
• Robotics or autonomous systems
• Advanced C++ development
• Synthetic data generation

What We're Looking For

• Strong software engineering foundations
• Passion for machine learning and computer vision
• Ability to balance research and practical engineering
• Curiosity, intelligence and integrity
• Someone who enjoys solving difficult technical challenges

Why Join?

This is not AI for the sake of AI. You'll be working on advanced computer vision and machine learning systems designed to solve complex real-world challenges in demanding environments.

You'll join a highly technical team where your expertise will directly influence product development, model performance and technical direction. If you enjoy optimising models, pushing hardware limitations and solving difficult machine learning problems, this is a rare opportunity to work on genuinely impactful technology.

Unfortunately, sponsorship is not available for this role. This is a remote-first position; however, occasional travel for team collaboration and company meetings will be required, therefore candidates should be based in the UK.

Devon | £42,000 – £50,000

We’re looking for an experienced IT Infrastructure Engineer to join a well-established business in Devon, taking a hands-on role in maintaining, improving and securing its business-critical IT infrastructure.

Working within the IT Operations team, you’ll be responsible for ensuring the technology environment remains reliable, secure and highly available, while contributing to infrastructure improvements and wider technical projects.

The Role

You’ll work across a broad infrastructure estate, with responsibilities including:

• Maintaining and monitoring network, server, security and infrastructure systems
• Administering Microsoft Windows Server environments
• Supporting and optimising VMware and/or Hyper-V virtual environments
• Managing Microsoft 365 and Exchange Online
• Supporting HP and Cisco Meraki networking, including VLANs and VPNs
• Managing SAN storage and associated networking
• Working across on-premise, hosted and Azure environments
• Using PowerShell to automate processes and administration
• Proactively monitoring infrastructure performance, availability and capacity
• Managing patching schedules and security compliance
• Identifying and responding to infrastructure and security issues
• Working with hosting and third-party providers to maintain optimal uptime
• Testing and implementing hardware, software and infrastructure changes
• Contributing to the design and delivery of technical projects
• Maintaining infrastructure documentation and knowledge-base content
• Providing 2nd and 3rd line technical expertise

What We’re Looking For

You’ll have a solid infrastructure background and experience working with business-critical technology environments, ideally including:

• Windows Server
• VMware and/or Hyper-V
• Microsoft 365 / Exchange Online
• Cisco Meraki and networking
• VLANs and VPNs
• PowerShell
• Azure
• SAN/storage technologies
• Infrastructure monitoring, security and patch management

Experience within an e-commerce, high-transaction or similarly business-critical environment would be particularly beneficial.

Exposure to Linux/Unix, DevOps, ITIL or infrastructure project delivery would also be advantageous.

You’ll be a strong technical problem solver who can manage competing priorities, work effectively as part of a team and take a proactive approach to improving infrastructure performance and resilience.