Contract length: 3 months initially (potential to extend)

Rate: £45-£53 per hour (circa £350 – £400 per day), Inside IR35

Start Date: ASAP

The Role:

Our client is a large organisation based near Livingston, is looking for an IT Asset Coordinator to lead a major consolidation and audit of IT equipment held across multiple site locations.

This is a hands-on, physical role rather than a technical one – ideal for someone with a background in warehousing, stores management or logistics who is comfortable identifying general IT hardware. Candidates with a military stores/ logistics background are particularly well suited to this role.

You’ll start with a significant backlog of new and legacy IT equipment (laptops, monitors, network switches, printers, cabling, racking) that needs to be consolidated, audited and properly documented – then sorted for reuse, resale or disposal. As equipment arrives from other sites, you’ll repeat the process, working towards a clean, accurate, and repeatable stock system that can be handed over to the internal IT team at the end of the contract.

Key Responsibilities:

• Audit and physically consolidate IT equipment arriving from multiple sites
• Create and maintain an accurate stock record, capturing serial numbers, device type, storage location, PO reference, and intended purpose
• Sort equipment into categories: ready for redeployment, for resale, or for disposal
• Liaise with an appointed recycling/disposal partner to arrange collection of scrapped equipment
• Coordinate with internal logistics/warehouse teams to arrange collection and transport of equipment between sites
• Work with finance colleagues where equipment is being sold on
• Prepare stock for deployment – organising shelving, building pallets and managing physical storage space
• Work alongside two junior technicians responsible for wiping laptops and network equipment
• Establish a clear, documented process that can be handed over to the IT team once the contract concludes

Skills required:

• Experience in a warehousing, stores, or logistics environment is essential
• A general understanding of IT equipment (laptops, monitors, network switches, printers, cabling) — you do not need to be a technical specialist
• Highly organised, methodical, and accurate with record-keeping
• A practical “doer” who is comfortable with physical, on-site work
• Able to work independently, prioritise, and manage a large volume of stock
• Ex-forces candidates with a stores/supply background are strongly encouraged to apply

Additional Information

This is a on-site role based in Livingston, West Lothian. You need to be able to commute to site daily for the duration of the contract.

The post IT Asset Coordinator – Contract appeared first on KO2 Recruitment.

Introduced by: KO2 Embedded Recruitment Solutions

Client Location: Edinburgh

Salary: £60,000 to £70,000 per annum

The Opportunity

Our client is building the next generation of real-time detection systems that operate at the edge of the network, where connectivity is unreliable and power is constrained. Their vision is straightforward and radical: machine learning models that run on embedded devices, processing sensor data in the field, making instant decisions without relying on cloud infrastructure or continuous data transmission.

This is not a supervised learning problem on tabular business data. This is not model serving from a GPU cluster. This is embedded machine learning in its most demanding form: taking sophisticated sensor-based classification systems and making them run reliably on devices with megabytes of RAM, in real-world environments where data is noisy, conditions are uncontrolled, and failure is not an option.

The client is at the frontier of what embedded ML can do. Most organisations are still building cloud-first systems. They are building ground-truth systems: devices that operate autonomously, make decisions in real time, and remain reliable under the constraints that define actual field deployment.

The Challenge

The engineering challenge is significant. You will be responsible for the complete lifecycle of machine learning models that run on embedded devices. This means:

From Sensor to Deployed Device. You will work with raw sensor data streams from physical devices operating in uncontrolled environments. This data is not clean. It carries noise, calibration drift, temperature sensitivity, and the unpredictable behaviour of systems deployed in the real world. Your job is to transform this stream into a robust, real-time classification model that runs on hardware with severe constraints on memory, computation, and power.

Engineering Under Constraint. Every machine learning decision you make has downstream consequences for embedded systems. A model that requires 512MB of RAM will not run on a device with 128MB. A model that takes 500ms per inference will drain the battery in days. A model that works in the lab but degrades in the field is a failure. You will learn to think like an embedded systems engineer, not a researcher. You will understand that the goal is not maximum accuracy; it is maximum accuracy within the hardware constraints that define your actual platform.

Real-World Iteration. You will take models from lab development through semi-field validation and into live deployment. You will see what happens when your model encounters conditions it has never seen before. You will debug why a model that performed flawlessly during development is behaving unexpectedly in the field. You will iterate based on real-world performance data and build the judgment to know when a model is sufficiently reliable for deployment.

Cross-Domain Transfer. The long-term vision is building a platform where machine learning models and data structures developed for one application can be adapted and transferred to others. You will contribute to demonstrating that this is technically possible; that you can take a model built for one classification task and, with appropriate retraining and adaptation, make it work reliably in a different domain. This is the frontier of applied ML.

The Role

Reporting to the Lead Data Scientist, you will own the development and deployment of machine learning models that sit at the heart of the embedded detection platform. You will work closely with R&D scientists, firmware engineers, hardware designers, and product teams. You will be the bridge between data science and embedded systems. You will own the complete pipeline: from sensor data ingestion and cleaning, through feature engineering and model development, through embedded optimisation and deployment, through field validation and iteration.

Key Responsibilities

• Clean, structure, and analyse sensor datasets from real-world deployments for training and evaluation
• Develop machine learning models optimised for embedded deployment on resource-constrained devices
• Work with TensorFlow Lite, Edge Impulse, or custom firmware deployment strategies to integrate models into actual hardware platforms
• Optimise model architecture, quantization, and inference speed to fit hardware constraints without unacceptable loss of accuracy
• Collaborate with firmware engineers to integrate your models into live devices, understanding and accommodating their constraints
• Test model performance across lab, semi-field, and real-world settings; identify failure modes and iterate
• Document training pipelines, feature engineering methods, model validation results, and deployment learnings
• Establish reproducible, scalable workflows for model development, retraining, and versioning
• Support future platform expansion by demonstrating that models can be adapted across different applications and use cases
• Develop model-driven features such as confidence scoring, anomaly detection, and on-device adaptation logic

Must-Haves

• 5+ years of applied experience in data science or machine learning engineering roles
• Strong, demonstrable experience with machine learning for classification tasks
• Proficiency in Python and relevant libraries: scikit-learn, TensorFlow, pandas, NumPy
• Real-world experience working with sensor data, time-series data, or IoT data streams
• Familiarity with embedded ML tools and approaches: TensorFlow Lite, Edge Impulse, ONNX Runtime, or equivalent
• Hands-on mindset; comfortable getting close to hardware, firmware code, and the real-world constraints of device deployment
• Clear communication; ability to explain model behaviour, limitations, and engineering trade-offs to non-technical collaborators

Nice-to-Haves

• Signal processing experience or background in IoT systems
• Previous work deploying models to edge devices or microcontrollers
• Experience with model quantization, pruning, or other embedded optimisation techniques
• Background in biology, chemistry, environmental science, or related domains
• Familiarity with sensor calibration pipelines, metadata tagging, or HDF5
• Experience with dataset versioning and ML workflow management: MLflow, DVC, Weights & Biases
• Understanding of low-power device design and power budgeting

What Success Looks Like in Year One

Models in the Field, Not the Lab. You will have taken at least one machine learning model from initial development through to embedded deployment on a live device. You will have validated that model across lab conditions, semi-field conditions, and real-world deployment. You will have documented accuracy and reliability benchmarks that the R&D and product teams trust enough to build products around.

A Repeatable ML Pipeline. You will have established clean, documented workflows for model development, feature engineering, validation, and versioning. The process will no longer be ad hoc. When new sensor data arrives, when a new classification task emerges, or when an existing model needs retraining, the team will have a clear, reproducible path forward.

Embedded Constraints Are Second Nature. You will think routinely in terms of memory budgets, latency budgets, and power budgets. You will anticipate firmware engineer constraints before they surface as integration bottlenecks. You will make design decisions that balance model accuracy against hardware reality.

Real-World Reliability Mindset. You will understand that deployment is when learning truly begins. You will have built the infrastructure to monitor deployed models, identify when they degrade, understand why, and iterate. You will have learned the hard lessons about what separates a model that works in the lab from one that works reliably in the field.

Cross-Domain Credibility. You will have contributed technical evidence that machine learning systems can be developed for one application and transferred to others, with appropriate adaptation and retraining. You will understand what transfers and what does not.

Why This Matters

Your client is working at the frontier of applied embedded machine learning. Most ML work today is server-centric or cloud-centric. The real innovation now is in making sophisticated machine learning work reliably on devices with severe constraints, in real-world conditions, without cloud dependency.

This is where the intellectual frontier is. This is where the technical challenges are genuine. This is where you will learn, in depth and under pressure, what it actually takes to build ML systems that work.

Your models will power systems that operate in the real world, making real decisions, creating measurable impact. You are not building dashboards. You are not building systems that work in the lab. You are building systems that have to work when deployed in the field, under conditions you cannot control, with hardware you cannot upgrade.

Application

Please submit the following:

• Your CV
• A cover letter (required) explaining your experience with embedded ML and real-world sensor data, and why this particular challenge interests you
• Answers to the following questions:

1. Can you commit to 3 days per week in Edinburgh?
2. Describe a time you deployed a machine learning model to an embedded or edge device. What were the hardware constraints, and how did you optimise the model to fit them?
3. Have you worked with real-world sensor or time-series data? Describe the challenges you encountered and how you addressed them.
4. What is your current notice period?
5. Tell us about a time you took a machine learning model or pipeline built for one application and adapted it to a different use case or domain. What was transferable? What had to be rebuilt?
6. What draws you to embedded machine learning specifically, rather than traditional cloud-based ML or data science?

The post Embedded Machine Learning Engineer appeared first on KO2 Recruitment.

Are you a Scrum Master who adapts to the team in front of you, rather than reaching for the textbook?

Our client is a global medical device business whose software directly impacts patient outcomes. Their Scotland based development team has recently gone through significant growth – roughly doubling in size, within a wider delivery ecosystem that has grown even further and they need a dedicated, full-time Scrum Master to help this bigger team gel, structure itself, and deliver.

What makes this role different

The hiring managers were clear: they don’t want someone who arrives and announces “you’re doing it wrong.” They want someone who says “show me what you do, and let me work out how I can help.” You’ll be a supporting player who lifts the whole team – not a project leader, and not a technical lead. Project leadership is already in place. This is about process, flow, and helping the team create value.

What you’ll be doing

• Facilitating all Scrum ceremonies across multiple newly formed teams, keeping them productive and timeboxed
• Coaching the team in self-management, cross-functionality, and conflict resolution as they settle into their new structure
• Using Agile metrics (velocity, burn-down) to improve predictability and quality
• Removing impediments, often working with external stakeholders to clear the path
• Ensuring delivery stays compliant within a regulated medical device environment

What they’re looking for

• 3+ years as a full-time Scrum Master or Agile Lead in a software engineering environment
• Proven experience stabilising a recently scaled or growing team – this is the situation you’re walking into
• A coaching-led, adaptive approach: best practice shaped to the team, not imposed on it
• Regulated industry background (medical devices, ISO 13485, IEC 62304 – or similar compliance-driven sectors) is a plus
• Embedded software environment experience is a bonus, not a requirement

The details

• Initial 12 month contract
• Up to £75 per hour, Inside IR35
• Hybrid working, office in the Glasgow area
• Interviews moving quickly – this is the client’s top priority hire

If you’re the Scrum Master who brings the team with you rather than setting off a grenade, apply now or message me directly.

The post Scrum Master – Contract appeared first on KO2 Recruitment.

We’re recruiting for a senior DevOps Engineer to support a growing engineering team working on embedded software and connected hardware systems.

This is a hands-on role focused on CI/CD, build and release pipelines, tooling, and test infrastructure for embedded products. You’ll work closely with Software, QA and Hardware teams to improve and maintain a robust delivery environment.

This opportunity would suit someone with experience in embedded systems, electronics-led environments, hardware-connected software, or HIL / hardware-based test setups.

The Role

You’ll be responsible for supporting and improving the DevOps and tooling environment that underpins embedded software delivery.

Key responsibilities

• Own and improve the CI/CD environment for embedded software delivery
• Maintain and enhance GitHub Actions pipelines for build, test, release and deployment
• Support build, packaging, artifact management and release processes
• Help evolve tooling following a migration from Jenkins to GitHub
• Support deployment and testing across hardware rigs / Raspberry Pi-based environments
• Work closely with QA and engineering teams on test automation and build reliability
• Improve code quality, pipeline stability and release traceability
• Contribute to future improvements across cloud, virtualised or scalable infrastructure

What We’re Looking For

• Strong background in DevOps, Build & Release Engineering, or CI/CD
• Experience supporting embedded software, firmware, or electronics-based products
• Strong hands-on experience with GitHub Actions
• Experience building and maintaining CI/CD pipelines
• Good experience with build tooling, release tooling and artifact management
• Strong scripting / automation capability
• Experience working closely with Software Engineers and QA teams
• Understanding of Hardware-in-the-Loop (HIL) or physical device-based test environments would be highly beneficial
• Exposure to AWS / cloud infrastructure would be advantageous

Tech Environment

• GitHub / GitHub Actions
• Embedded software / electronic devices
• Raspberry Pi test infrastructure
• Jenkins to GitHub migration
• Build, release and quality tooling
• Potential AWS / virtualised environments

This is a great opportunity to join a team where the DevOps capability is already established, but now needs a strong engineer to help support, improve and scale it as the wider engineering function grows.

If you have experience in DevOps for embedded systems, hardware-linked software environments, electronics products, or HIL testing infrastructure, we are keen to hear from you.

The post Contract DevOps Engineer – Embedded appeared first on KO2 Recruitment.

EXCEPTIONAL BENEFITS PACKAGE

• £75,000 – £95,000 base salary (depending on skills & experience)
• Performance-related bonus up to 15%
• Contributory pension scheme with up to 11% company contribution
• Family private healthcare cover
• Death in service benefit – 5x annual salary

High-Tech | Fast-Moving | Innovation-Led

KO2’s client is a high-technology, fast-evolving engineering business based in Glasgow. They design and develop highly innovative products for some of the biggest business names in the world.

While many organisations are slowing down, restructuring or reducing headcount, KO2’s client is growing. They operate in a space where deep technical capability is in high demand, and they continue to attract top-tier engineering talent in an increasingly competitive Scottish market.

This is not a slow, corporate, process-heavy environment. This is a business built on pace, innovation and delivery.

The Opportunity – A Truly Varied Technical Leadership Role

This is not a narrow Technical Director position.

This is a broad, influential, hands-on leadership role requiring someone who can move effortlessly between:

• Strategic technical direction
• Product innovation
• Engineering execution
• Team development
• Commercial awareness
• Customer engagement

You will shape technical architecture, influence product direction and guide multidisciplinary engineering teams — while ensuring innovation turns into real-world delivery.

The role demands an innovator and inventor at heart — someone who enjoys solving complex problems and pushing technical boundaries. But equally important is the softer side of leadership.

KO2’s client is looking for a Technical Director who:

• Brings people with them
• Coaches and develops talent
• Encourages initiative
• Builds alignment and energy
• Leads through influence, not hierarchy

This is about building capability as well as technology.

Culture – Built for Self-Starters

KO2’s client values:

• Initiative
• Ownership
• Energy
• Real communication skills
• Accountability

They are quick-moving and high-expectation. They look for people who act, not wait. People who pick up the phone. People who engage. People who show drive.

If you prefer heavy structure, long approval chains and a steady, predictable pace — this won’t be the right environment.

If you thrive in ambiguity, enjoy responsibility and want genuine influence — this is a rare opportunity.

Who You Are

You are likely:

• Technically exceptional
• Comfortable leading senior engineers
• Commercially aware
• Energised by innovation
• Confident making decisions
• Passionate about developing others

You understand that technical excellence alone is not enough — sustainable success comes from building strong, capable, motivated teams.

Presence, collaboration and pace matter to KO2’s client, and this is a role for someone who wants to be embedded in the business and make visible impact.

EXCEPTIONAL BENEFITS PACKAGE 

• £75,000 – £95,000 base salary (depending on skills & experience)
• Up to 15% performance bonus
• Up to 11% employer pension contribution
• Family private medical cover
• Death in service – 5x annual salary

If you are an innovative Technical Director who combines invention with inspiration, and you want to join a Glasgow-based technology company that is accelerating while others hesitate, KO2’s client would welcome a conversation.

The post Technical Director appeared first on KO2 Recruitment.

Rate: Up to £70 per hour (Outside IR35)
Location: East Glasgow – Hybrid (3 days onsite)
Contract: 6 months initially (likely to extend)

A medical electronics company is looking to hire a Contract Electronics Engineer to join an established engineering team. This role covers the full electronics product lifecycle, with a strong emphasis on electronics testing, characterisation and verification, rather than brand new electronics design.

You’ll work in a collaborative, multi-disciplinary environment alongside electronics engineers, mechanical engineers, embedded software engineers and scientists, helping to understand and improve complex medical systems.

The role

• Work across the full electronics product lifecycle, from design review through to test and verification
• Lead and execute electronics testing, characterisation and system level investigations
• Develop and run test plans to assess performance, limits and system interactions
• Review schematics and PCB designs and contribute to design discussions
• Collaborate daily with mechanical, software and scientific teams
• Support systems involving fluidic control mechanisms and optics

This role suits an Electronics Engineer who enjoys hands on hardware work and understanding how systems behave in the real world.

Skills required

• Strong experience as an Electronics Engineer, covering both design and test
• Solid electronics fundamentals with the confidence to challenge designs
• Hands on experience with electronics testing and characterisation
• Able to communicate clearly with non-electronics specialists
• Curious, practical mindset and interest in electronics

Years of experience are flexible. The focus is on capability, attitude and the ability to contribute quickly.

Tools & environment

• Schematic and PCB design using Altium
• On site lab and test facilities
• Close collaboration with other electronics engineers and wider engineering teams

If you’re an electronics engineer who enjoys testing, problem solving and working on real products, this is a great contract opportunity.

The post Electronics Engineer – Contract appeared first on KO2 Recruitment.

Location: Renfrew

Salary: Up to £55,000 DOE

KO2’s client is seeking an accomplished and motivated Lead Design Engineer to join their team in Renfrew. This is a pivotal role where you will drive the design and development of innovative products, providing both technical expertise and leadership to ensure the successful delivery of projects from concept through to production.

As Lead Design Engineer, you will establish and maintain design standards, guide a skilled team of engineers and designers, and ensure all work meets the highest levels of quality, compliance, and functionality.

Key Responsibilities

• Design Leadership – Oversee the design process from concept to delivery, ensuring manufacturability, functionality, and alignment with design intent.
• CAD Expertise – Provide advanced CAD leadership, reviewing and approving complex models in line with best practice.
• Collaboration – Work closely with manufacturing, suppliers, and internal teams to deliver cost-effective, high-quality solutions on time.
• Technical Reviews – Lead design reviews including DFMA, FMEA, and RCA to ensure robust products.
• Mentorship – Coach and develop engineers and designers, fostering growth within the team.
• Human-Centred Design – Apply ergonomics, usability, and human factors across all development stages.
• Industrial Design Translation – Convert A-surface design concepts into manufacturable components, with expertise in Colours, Materials, and Finishes (CMF).

Qualifications & Experience

• Degree in Mechanical, Product, or Design Engineering (or related discipline).
• 7+ years of relevant design engineering experience, ideally with leadership responsibility.
• Proven track record of taking products from concept through to launch.
• Advanced CAD proficiency with the ability to define and enforce standards.
• Strong leadership, communication, and mentoring skills.
• Knowledge of design standards, manufacturing processes, and regulatory compliance.
• Ability to balance creativity with sound engineering judgement.

What We Offer

• Competitive salary starting at £55,000 DOE
• Generous holiday package with Christmas 2024 shutdown
• Discretionary Christmas bonus
• Contributory pension scheme
• Death in Service cover
• Birthday gift
• Free on-site parking in modern offices
• Early finish Friday (subject to business needs)
• Part-time contracts from 28 hours+ considered (salary/holidays pro rata)

Apply today with an up to date CV and a member of the KO2 team will be in touch.

The post Lead Design Engineer appeared first on KO2 Recruitment.

Location: Aberdeen (Relocation package available)

Salary: £35,000 – £45,000 (depending on experience)

About the Company

This is your chance to join a small but highly innovative company at the cutting edge of oil and gas technology. Backed by major industry players including ConocoPhillips, Weatherford, and Scottish Enterprise, they design and build world-class systems for acoustic data transmission through metal structures. The technology delivers the best noise resilience-to-speed ratio on the market, enabling real-time data transfer from deep oil wells to the surface — even in the harshest offshore environments.

The Role

We are looking for a permanent Electronics Technician to work hands-on in our Aberdeen laboratory. This role involves assembling, testing, and maintaining high-performance tools that measure pressure, temperature, and acoustic signals inside oil wells. These tools send real-time data through metal tubing to the surface only.

Whether you are an experienced electronics technician looking for an exciting new challenge, or a practically minded individual eager to start your career in electronics, this is an opportunity to work with technology few others in the world have access to.

Key Responsibilities

• Assemble, calibrate, and test advanced downhole electronics systems
• Support product development and troubleshooting in the lab
• Ensure quality control of electronic components and assemblies
• Work closely with engineers to improve designs and performance
• Take ownership of lab processes and equipment upkeep

What KO2’s client are looking for

• Either proven experience as an electronics technician OR a strong practical background with a passion for learning electronics
• Good problem-solving skills and attention to detail
• Ability to work independently and take responsibility for tasks
• Interest in oil and gas technology or challenging engineering environments

What’s in It for You

• Competitive salary (£35,000 – £45,000)
• Relocation package for candidates moving to Aberdeen
• Chance to work on industry-leading acoustic transmission systems
• Supportive small-team environment with big-company backing
• Career development and training in advanced electronics and oilfield technology

If you’re ready to take ownership of your work, enjoy solving real-world engineering challenges, and want to be part of a company pushing the boundaries of what’s possible, KO2 would love to hear from you.

Apply now to become the Electronics Technician who is helping shape the future of downhole communications.

The post Electronics Technician appeared first on KO2 Recruitment.

Salary: £70,000 – £80,000
Location: Aberdeen – Hybrid – 3 days from home a week

KO2’s client, an Aberdeen-based technology company, is leading the way in embedded vision systems for real-time threat and risk detection. Their work combines advanced near-infrared (IR) camera sensors with deterministic AI models to identify anomalies, hazards, and safety risks.

This is a rare opportunity to join a company developing cutting-edge embedded vision and AI technology, with the balance of in-office collaboration and home working. You’ll spend two days per week at their Aberdeen site, working closely with the engineering team, and three days per week working remotely.

The ideal candidate will be a strong embedded software engineer who has recently moved into AI and machine learning for vision systems, and is eager to continue working in that space. You’ll be working on certifiable, fixed AI models (no runtime learning), helping to deliver reliable, reproducible results in safety-critical systems.

Key responsibilities:

• Develop and optimise real-time embedded vision algorithms in C/C++
• Work with near-IR camera sensors to classify visual and behavioural characteristics
• Integrate fixed AI/ML models (e.g. CNNs) into embedded systems
• Ensure deterministic, certifiable software execution under memory and timing constraints
• Evaluate model performance under varied environmental conditions (lighting, motion, etc.)
• Collaborate closely with software, hardware, and certification engineers

Required Skills & Experience:

• Strong embedded software development experience (C/C++, Linux, real-time systems)
• Proven background in embedded machine vision or image pipelines
• Hands-on with IR, CMOS, or similar camera/imaging systems
• Practical understanding of embedded AI/ML techniques (e.g. CNNs, segmentation, shape tracking)
• Comfortable working in memory- and timing-constrained environments

Preferred Qualifications:

• Degree or MSc in Computer Vision, Embedded Systems, or related field
• Experience developing software for safety-critical systems
• Familiarity with IEC 61508 or similar certification standards

This is a fantastic opportunity for an engineer passionate about embedded AI and real-time vision to work on impactful technology that directly contributes to driver and passenger safety. You’ll be joining a small, expert team at the forefront of embedded machine vision, with the flexibility of hybrid working

The post Embedded Machine Vision Engineer appeared first on KO2 Recruitment.

Location: Stirling, On site

Salary: £65,000 – £75,000 (depending on experience)

KO2’s client is a leading medical device consultancy that is not only designing and developing its own innovative healthcare products but has also delivered cradle-to-grave design projects for some of the biggest OEM names in the global medical sector. With a strong track record of securing multi-year projects, they continue to grow and are now seeking a Lead Electronics Engineer to join their on-site team.

This role is ideal for a Senior Electronics Engineer looking to take the next step into technical leadership, or someone already operating at Lead level who enjoys combining hands-on engineering with team supervision and cross-functional collaboration.

You’ll be joining a company of around 60 people, including a growing electronics team consisting of 3 engineers: 2 juniors and 1 senior, alongside a highly experienced Principal Hardware Engineer. The team is looking for another senior-level engineer to support the increasing workload and help shape the team’s structure and processes.

The role will be roughly 30% supervisory – you’ll be helping to bring organisation, mentorship, and technical guidance to the team, while still remaining hands-on with design and development. You’ll be expected to contribute to schematic reviews, PCB layout checks, and FPGA development, while collaborating closely with a Principal Engineer who brings deep domain expertise.

The ideal candidate will have strong analogue and digital electronics experience and enjoy working on complex medical device systems, including projects involving microwave systems. You’ll be interfacing with OEM clients as an extension of their internal design teams, managing projects that typically span 2–3 years and go through full certification and regulatory approval (including CE marking and 510K submissions).

This is an exciting opportunity to join a business with a mature quality management system, a proven product development track record, and a reputation for delivering full lifecycle design – from concept through to manufacture – in one of the most technically challenging and rewarding sectors.

Key Skills & Experience:

• Strong background in analogue and digital electronics design
• Experience with PCB schematic capture and layout reviews
• FPGA development knowledge
• Proven ability to supervise or mentor engineering teams
• Comfortable interfacing with senior technical stakeholders
• Experience in medical device development (or other highly regulated environments) is a strong advantage

If you’re looking for a technically diverse, hands-on role that also gives you the chance to step into leadership and make a real impact on products that improve lives, KO2’s client would love to hear from you.

Please apply with your CV or get in touch with KO2 to find out more.

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