Engineering Manager
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Location: Wakefield
Salary: £50,000 - £55,000 + a well rounded benefits packageKO2 Recruitment is delighted to be partnering with a well-established manufacturing business based in Wakefield in their search for an experienced Engineering Manager to join their senior team.The RoleThis is a hands-on leadership role at the heart of the business, xrexnqw responsible for leading, managing,
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Electronic Test Engineer
The information below covers the role requirements, expected candidate experience, and accompanying qualifications.
Location: Eastbourne, East SussexSalary: Up to £40,000 DOEAbout the RoleWe are seeking a multi-disciplined Electronic Test Support Engineer to join our manufacturing team in Eastbourne. This is a hands-on role for someone with a strong technical background in electronics who thrives on solving problems and keeping production running smoothly.You'll be responsible for supporting automated and semi-automated electronic test systems, working closely with engineering, production, and management teams to diagnose and resolve issues quickly and effectively.Key ResponsibilitiesSupport and maintain automated and semi-automated electronic test systems within a manufacturing environmentDiagnose faults across hardware, instrumentation, and software using a structured, logical approachRead and interpret electronic schematics and system diagrams to troubleshoot effectivelyProvide robust, timely fixes to minimise production downtimeWork hands-on with electronic test fixtures, instrumentation, and test equipmentCollaborate closely with engineers, managers, and production staff to support smooth day-to-day operationsWhat We're Looking ForKey Skills:Strong understanding of electronics theory and practical troubleshooting techniquesAbility to read and work from electronic schematics and system diagramsFamiliarity with test automation environments (e.g., C#, LabVIEW, Python, or similar tools)Good interpersonal skills, with the ability to work closely with teams across the businessA structured and logical approach to diagnosing links between hardware, instrumentation, and softwareAbility to deliver robust, timely fixes to keep production flowingHands-on experience with electronic xrexnqw test fixtures, instrumentation, and test equipmentQualifications & Experience:Degree, HNC, or HND in Electronic Engineering, Electrical Engineering, Test Engineering, or equivalentMinimum of 3 years' experience in test engineering or production test supportWhy Join Us?This is a great opportunity for a technically skilled engineer to take on a varied, hands-on role at the heart of a busy manufacturing operation, with a competitive salary of up to £40,000.To apply, please submit your CV along with a brief covering note outlining your relevant experience.
p Electronic Test Engineer Location: Eastbourne, East Sussex Salary: Up to £40,000 DOE About the Role We are seeking a multi-disciplined Electronic Test Support Engineer to join our manufacturing team in Eastbourne. This is a hands-on role for someone with a strong technical background in electronics who thrives on solving problems and keeping production running smoothly. Youll be responsible for suppor... /p
Engineering Manager Location: Wakefield Salary: £50,000 - £55,000 + a well rounded benefits package KO2 Recruitment is delighted to be partnering with a well-established manufacturing business based in Wakefield in their search for an experienced Engineering Manager to join their senior team. The Role This is a hands-on leadership role at the heart of the business, responsible for leading, managing, and developing the Engineering function to deliver innovative, cost-effective, and high-quality engineering solutions that support their client's product development, manufacturing, and strategic objectives. You'll provide leadership across Engineering, Spray Painting, Automation, and Injection Moulding departments, ensuring resources are effectively integrated and optimised to achieve operational excellence. You'll continually review and develop departmental strategies, aligning them with the wider business, production, and sales objectives while driving continuous improvement, innovation, and performance. Key Responsibilities Take overall ownership of the Engineering, Spray Painting, Automated Production, and Injection Moulding departments, ensuring resources are used effectively to meet business objectives Manage day-to-day operations across the department, making sure work is safely planned, prioritised, and delivered in line with customer needs Plan and deliver engineering projects, product improvements, and new equipment or process introductions Champion continuous improvement across the department, driving efficiency, quality, and performance gains Keep engineering equipment, tools, machinery, and stock levels well maintained to ensure maximum reliability Line manage a team of 4 engineers, running regular 1-2-1s, performance reviews, and succession planning to build a strong, capable team Partner with Production, Planning, Purchasing, Technical, and Logistics to keep activities coordinated and business goals on track Assess current and future staffing, training, and resourcing needs, flagging requirements to senior management as needed Maintain compliance with Health & Safety, Environmental, and Quality standards across all engineering activities Report regularly on engineering performance, quality metrics, project progress, and risk, with recommendations for senior leadership Represent Engineering at production, continuous improvement, and Health & Safety meetings, offering technical input where needed. What You'll Bring Essential: Experience in precision engineering and manufacturing Experience operating and programming CNC machinery Understanding of 2D/3D CAD modelling Proficient in press tooling, jigs, and fixture design and manufacture Strong understanding of engineering principles and best practices At least 5 years in a supervisory or leadership role within a manufacturing/logistics environment Strong knowledge of manufacturing processes, tools, and equipment Proven ability to lead and manage a team, with excellent communication, motivational, and conflict-resolution skills Desirable: Experience with spray painting processes (gloss, K2) Extrusion saw operation and material preparation experience Professional engineering certification (e.g., CEng, IET membership) Experience and knowledge of injection moulding Knowledge of industry standards such as IPC-A-610, RoHS, and ISO 9001 Apply today with an up-to-date CV for this exciting new Engineer Manager role in Wakefield. TPBN1_UKTJ
Senior Software Engineer Newcastle upon Tyne - Hybrid Up to £70,000 basic + benefits | Relocation package available The Role We're looking for a Senior Software Engineer to join our clients R&D function, reporting directly to the Head of R&D. In this role you'll design and govern the software architecture and CI/CD processes that their engineering team builds within. You'll take ownership of the architectural framework spanning robotics payloads, vehicle automation, computer vision, sensor integration, digital twins, and simulation - ensuring everything they build is scalable, maintainable, and defensible against safety-critical standards. You'll know how to let early-stage prototypes move fast on the right evidential path, without forcing full compliance before it's needed - while making sure the architecture is built to scale to full qualification when the time comes. What You'll Do Define and implement end-to-end software architecture and CI/CD pipelines for remote and autonomous systems Establish unit testing, verification, and validation processes, building the evidence base needed to meet defence safety-critical standards Integrate architecture across control systems, computer vision, sensor fusion, simulation, and digital twin platforms Support system integration, commissioning, and real-world field trials alongside global military end users What You'll Bring Essential: A strong track record in software architecture for safety-critical or compliance-driven systems Hands-on experience with C/C++ and Python in Linux real-time environments Confidence reading electrical schematics and working across the hardware/software boundary Experience implementing CI/CD pipelines for safety-critical software A degree in Software Engineering, Computer Science, or equivalent (2:1 minimum) Nice to Have: Familiarity with ROS/ROS2 Experience with machine learning, OpenCV, or CODESYS/PLC environments A background in automotive safety systems, defence, robotics, or autonomous vehicle development What's In It for You £70,000 basic salary 8% matched pension Free breakfast and lunch daily on-site 35-hour week: Tuesday-Thursday on-site, Monday/Friday from home, with an early finish on Fridays Up to £5,000 relocation allowance for the right candidate Apply today with an up-to-date CV. TPBN1_UKTJ
Embedded Machine Learning and Real-Time Sensor Classification 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. 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: Can you commit to 3 days per week in Edinburgh? 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? Have you worked with real-world sensor or time-series data? Describe the challenges you encountered and how you addressed them. What is your current notice period? 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? What draws you to embedded machine learning specifically, rather than traditional cloud-based ML or data science TPBN1_UKTJ
Electronic Test Engineer Location: Eastbourne, East Sussex Salary: Up to £40,000 DOE About the Role We are seeking a multi-disciplined Electronic Test Support Engineer to join our manufacturing team in Eastbourne. This is a hands-on role for someone with a strong technical background in electronics who thrives on solving problems and keeping production running smoothly. You'll be responsible for supporting automated and semi-automated electronic test systems, working closely with engineering, production, and management teams to diagnose and resolve issues quickly and effectively. Key Responsibilities Support and maintain automated and semi-automated electronic test systems within a manufacturing environment Diagnose faults across hardware, instrumentation, and software using a structured, logical approach Read and interpret electronic schematics and system diagrams to troubleshoot effectively Provide robust, timely fixes to minimise production downtime Work hands-on with electronic test fixtures, instrumentation, and test equipment Collaborate closely with engineers, managers, and production staff to support smooth day-to-day operations What We're Looking For Key Skills: Strong understanding of electronics theory and practical troubleshooting techniques Ability to read and work from electronic schematics and system diagrams Familiarity with test automation environments (e.g., C#, LabVIEW, Python, or similar tools) Good interpersonal skills, with the ability to work closely with teams across the business A structured and logical approach to diagnosing links between hardware, instrumentation, and software Ability to deliver robust, timely fixes to keep production flowing Hands-on experience with electronic test fixtures, instrumentation, and test equipment Qualifications & Experience: Degree, HNC, or HND in Electronic Engineering, Electrical Engineering, Test Engineering, or equivalent Minimum of 3 years' experience in test engineering or production test support Why Join Us? This is a great opportunity for a technically skilled engineer to take on a varied, hands-on role at the heart of a busy manufacturing operation, with a competitive salary of up to £40,000. To apply, please submit your CV along with a brief covering note outlining your relevant experience. TPBN1_UKTJ
p strong Embedded Software Delivery Lead /strong /p p strong Location: /strong Cleethorpes, Lincolnshire - Hybrid (2-3 days on site) /p p strong Salary: /strong Up to £75,000 /p p strong The Company /strong /p p This is a fast-growing British technology manufacturer producing a range of connected smart home devices centred around a main communications hub that allows homeowners to monitor, control and optimise the devices in their home, from EV chargers and solar diverters through ... /p br/ p WHJS1_UKTJ /p
Senior Software EngineerNewcastle upon Tyne - HybridUp to £70,000 basic + benefits | Relocation package availableThe RoleWe're looking for a Senior Software Engineer to join our clients R&D function, reporting directly to the Head of R&D. In this role you'll design and govern the software architecture and CI/CD processes that their engineering team builds within.You'll take ownership of the archit...
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Product Cybersecurity & Firmware Engineer Nottingham area (Hybrid WFH) | £60,000 - £70,000 KO2 is working with a well-established, global manufacturer of high-tech electronic products to appoint a Senior Product Cybersecurity & Firmware Engineer. This hands-on, senior role embeds cybersecurity and secure networking capability across a leading-edge product portfolio, sitting at the intersection of embedded engineering and product compliance. The Role You'll lead cybersecurity assessment and remediation while directly contributing to the design, development, and validation of secure, network-connected product features - working closely with firmware, hardware, test, compliance, and quality teams to keep products ahead of evolving regulatory requirements. Key Responsibilities Lead cybersecurity assessments: identifying risks, vulnerabilities, and remediations Design and implement secure, network-connected product functionality, including HTTPS/TLS and RFC-based networking Write, review, and maintain production code for cybersecurity and network features Support compliance with the Cyber Resilience Act, EN18031, and IEC 62443, including technical documentation Investigate and resolve vulnerabilities; support patching and secure update strategies (Desired) Provide technical leadership and best-practice guidance across engineering teams What We're Looking For Essential: 5+ years' embedded software/systems engineering, including production code delivery, in a relevant wireless or high-tech industry Experience with network-connected products and protocols (TCP/IP, HTTP/S) Hands-on secure communications/cybersecurity feature implementation Embedded C or C++ 11/14 RTOS experience (ThreadX, Azure RTOS, or FreeRTOS) Bare-metal development and low-level driver experience Familiarity with cybersecurity standards/frameworks (e.g. IEC 62443) Strong diagnostic, problem-solving, and communication skills Desirable: Awareness of the Cyber Resilience Act and connected-product regulations Experience supporting compliance, certification, or customer cybersecurity requests ARM Cortex-M / STM32 experience Exposure to SPI, I2C, I2S, UART, DMA Hardware test and debug experience Qualifications: Bachelor's degree in Electrical Engineering, Computer Science, or equivalent experience. Package: £60,000-£70,000 DOE | 37.5 hrs/week | Hybrid | Well-resourced team delivering a genuinely leading-edge development programme. Get in touch with KO2 today with an up to date CV for a confidential conversation. TPBN1_UKTJ
