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Research Administrator | Leeds | Public Sector | Temporary Portfolio Eligibility Officer 2 – 3 months temporary Leeds City Centre – Hybrid Working £16.26 p/hour 35 hours per week Here at Hays, we are working with a national public sector body to recruit a Portfolio Eligibility Officer on a temporary basis. The purpose of this role is to ensure that research studies are processed accurately and efficiently in line with the correct government eligibility policy. This includes managing applications, maintaining data systems, producing reports, and providing high-quality support to research teams and stakeholders. Key Responsibilities • Provide professional customer service to study teams and stakeholders, advising on processes and system use., • Administer study applications for support, including validating information, tracking progress, and communicating decisions., • Maintain accurate records and reporting mechanisms to monitor application flow and service performance., • Support the identification, escalation, and resolution of issues within the Eligibility Service., • Contribute to ongoing improvements to processes, systems, and service delivery., • Assist in system development activities, including gathering requirements and participating in user acceptance testing.Experience & Skills Required, • Ability to work positively during organisational change and support team colleagues., • Strong organisational and prioritisation skills with the ability to manage competing demands., • Excellent written and verbal communication skills with attention to detail., • Experience providing good customer service or user support., • Confident working with data, information systems, and producing clear, concise reports., • Competent IT skills (e.g., Word, Excel) and willingness to learn new systems. 4762320

About AssetCool AssetCool is addressing one of the most pressing challenges in the global energy transition - grid congestion. By combining cutting-edge grid robotics with breakthrough materials science, our technology transforms the physical performance of the grid in situ, increasing current-carrying capacity by up to 30%, at just 5% of the cost and in a tenth of the time compared to conventional approaches. In addition to enhancing capacity, our solutions tackle other grid constraints including corrosion, electrical noise, and enable the collection of high-value data to build accurate, predictive digital twins. This technology is proving transformative and is being adopted at an accelerating pace, with deployments across Canada, Slovenia, the UK, and the USA, and a strong global deployment pipeline. AssetCool is a fast-growing company with plans to more than double in size over the next six months. Backed by international investors from the US, mainland Europe, and the UK, we are proud to be one of the most innovation-focused companies in the UK energy sector. We’re looking for ambitious, mission-driven individuals who are excited to work hard alongside their colleagues to build and deploy world-leading technology that tackles some of the planet’s most urgent infrastructure challenges. Role Overview We are seeking a Senior Electronics Engineer to join our growing team and take technical ownership of PCB design and development for field robotics systems. You will lead the end-to-end electronics development of power, interface, and communication boards deployed in harsh, real-world environments. This role spans the full product lifecycle: from early architecture and schematic design through prototyping, certification, and field deployment. You will play a critical role in delivering safe, reliable, and scalable robotic solutions for outdoors power transmission infrastructure. This is a hands-on senior role suited to an engineer who enjoys owning hardware designs, mentoring others, and making pragmatic engineering decisions for systems that must perform reliably in challenging field conditions. You will work closely with mechatronics, embedded software, and production engineers to deliver robust and reliable products. Key Responsibilities Circuit Design & Development: • Own the architecture, design, and development of PCBs for field robotics systems, including power, interface, and communication boards., • Design schematics and multi-layer PCB layouts optimized for performance, manufacturability, cost, and reliability., • Lead the transition from R&D prototypes to production-ready electronics., • Apply DFM, DFA, and DFT to ensure scalable and repeatable operation., • Select components with consideration for supply chain resilience, derating, thermal & vibration performance, and long-term availability., • Define and execute verification and validation plans for electronic assemblies and integrated systems., • Perform hands-on debugging and root-cause analysis at component, PCB, and system level., • Develop test fixtures and procedures for prototype and production testing, • Support environmental, electrical, and stress testing to validate field robustness., • Ensure designs comply with relevant electrical safety and regulatory standards (CE, UKCA, UL, IEC, IPC)., • Lead EMI/EMC design strategy and support compliance testing and mitigation., • Prepare technical documentation required for certification and regulatory submissions., • Act as the technical authority for electronics during manufacturing ramp-up and production., • Support PCB fabrication, assembly, and test with external manufacturing partners., • Review and approve manufacturing test methods and quality procedures., • Lead investigation of production and field failures and implement corrective actions., • Work closely with mechatronics engineers to integrate electronics into assemblies of field robots., • Collaborate with embedded software engineers on hardware-software integration and debugging., • Participate in system architecture definition and design reviews., • Provide technical leadership and mentorship to electronics engineers., • Contribute to system-level requirements, risk assessments, and design trade-offs. Required Skills & Experience • BSc or MSc in Electronics Engineering, Electrical Engineering, or a related discipline. IPC CID/CID+ equivalent certification is advantageous., • 7+ years of professional experience in electronics and PCB design, with ownership of shipped products., • Experience with PCB design software, e.g. Altium, Fusion 360 or equivalent., • Strong expertise in analogue, digital, and mixed-signal circuit design., • Proven experience designing power electronics (DC-DC converters, power distribution, battery-powered systems)., • Experience with embedded hardware interfaces (CAN, USB, SPI, I2C, UART, Ethernet, RS232, RS485)., • Knowledge of designing motor (DC, brushless, stepper) driver electronics., • Strong understanding of EMI/EMC-aware PCB layout and grounding strategies., • Hands-on experience with laboratory test equipment and systematic debugging., • Solid understanding of impedance and effect of electrical noise on electronics., • Experience designing electronics for harsh or outdoor environments., • Strong documentation, communication, and design ownership skills., • Ability to work autonomously in a fast-paced, multidisciplinary engineering environment. Preferred Skills & Experience • Experience with ruggedized electronics for field robotics, aerospace, automotive, or industrial systems., • Familiarity with environmental qualification standards (temperature, vibration, shock, ingress protection)., • Experience with certification and compliance processes (CE, UKCA, UL, IEC 61010 / 62368)., • Knowledge of wireless and wired communication systems used in robotics and industrial networks., • Experience with signal integrity, power integrity, and thermal simulation tools., • Familiarity with functional safety concepts and safety-critical electronics design., • Experience working with overseas PCB and EMS suppliers., • Familiarity with hardware configuration management and version control systems. Research shows that some candidates may hesitate to apply unless they meet every listed requirement. If this role excites you but your experience doesn’t align perfectly with every qualification, we still encourage you to apply. You might be exactly who we're looking for, either for this role or another opportunity within our team. We’re proud to be an equal opportunities employer and welcome applications from people of all backgrounds. We’re committed to building an inclusive, supportive workplace where everyone can thrive, regardless of age, disability, gender identity, marital or civil partnership status, pregnancy or maternity, race, religion or belief, sex, or sexual orientation. If you have a disability or any specific requirements and need adjustments at any stage of the recruitment process, just let us know and we’ll do our best to accommodate your needs. We may close this vacancy early if we receive a high volume of applications. We are not looking for agency support currently.

About Wilgot Wilgot is building the category-defining Agentic Product Optimization (APO) platform for e-commerce. We are addressing the "adapt-or-die" reality that brands face as search shifts from keyword-matching to AI-driven discovery in interfaces like ChatGPT and Google AI Mode. Recognized by Dawn Capital as one of the top AI startups redefining e-commerce, our platform automates the repositioning of product catalogs for global, recognized brands, ensuring every product finds its buyer through intelligent content. What we do Wilgot provides the intelligence layer that transforms "thin" metadata into Intelligent Content optimized for the era of Agentic Commerce. Our Core AI Loop: • Discover: Leverage AI and data analysis (customer queries, first-party data, Google, ChatGPT, Perplexity) across 100+ markets to identify hidden demand, language attributes, and purchase signals. This phase focuses on turning raw data into clear, actionable content strategy., • Generate: Build and deploy systems that create high-quality, structured, and intent-aligned product content (titles, descriptions, attributes, FAQs) natively in 100+ languages. The goal is to optimize content for both user conversion and interpretation/recommendation by AI search systems., • Iterate: Design and manage a continuous feedback and optimization system. Monitor product performance across major search platforms, then programmatically regenerate and improve content based on visibility, engagement, and conversion data to maintain optimal relevance and discoverability. The Role Having validated our proprietary AI engine, we are now scaling it into a sophisticated, autonomous agentic platform. As a Senior AI Engineer, you will transition from AI theory to solving tangible, high-scale engineering challenges. You will work alongside our founding team and our Founding AI Scientist (PhD in Reinforcement Learning) to translate cutting-edge research into enterprise-scale production features. Key Responsibilities • Scale Agentic Architectures: Advance existing workflows into multi-agent systems capable of autonomous reasoning, state management, and self-correction., • Model Development & Fine-Tuning: Lead the full lifecycle, from designing training strategies and curating high-quality datasets to executing model fine-tuning., • Advanced Feature Engineering: Build pipelines that leverage LLMs to extract latent product attributes and consumer intent signals from unstructured data., • System Observability & Reliability: Implement evaluation frameworks to monitor model performance, hallucination rates, and direct business impact., • Technical Leadership: Influence our technical stack and help define the engineering culture of a rapidly scaling startup. Requirements • Technical Depth: Extensive ML engineering experience with a deep understanding of LLM architecture, training and fine-tuning (you don't just call APIs). You know how to use AI to generate features that drive performance, moving beyond basic metadata into deep semantic understanding., • Agentic Systems: Proven experience with agentic frameworks (e.g., LangGraph, PydanticAI) and managing memory and tool-calling in production., • Engineering Mindset: Ability to write clean, testable Python and familiarity with modern MLOps stacks., • Product Experience: Experience shipping ML systems in production for real users, with an experimental mindset and high bar for AI ethics. Why Join Wilgot? • Practical AI at Scale: Solve real-world, high-scale AI problems for global brands., • High Impact Team: Join a small, lean, high-growth team. You'll have significant influence on the technical stack and trajectory with no bureaucracy. You aren't joining a machine, you are part of building it., • Flexible Remote-First: Work remotely with autonomy, prioritizing deep work. Or from one of our hubs in Stockholm or London. We promote in-person collaboration with regular full-team offsites., • Generous Ownership: Receive a generous equity package, ensuring true ownership and a significant stake in the company's value as we scale globally., • Your choice of equipment: We provide a top-tier tech budget for your preferred hardware and home-office setup, ensuring you have the best tools for the job.

About AssetCool AssetCool is addressing one of the most pressing challenges in the global energy transition - grid congestion. By combining cutting-edge grid robotics with breakthrough materials science, our technology transforms the physical performance of the grid in situ, increasing current-carrying capacity by up to 30%, at just 5% of the cost and in a tenth of the time compared to conventional approaches. In addition to enhancing capacity, our solutions tackle other grid constraints including corrosion, electrical noise, and enable the collection of high-value data to build accurate, predictive digital twins. This technology is proving transformative and is being adopted at an accelerating pace, with deployments across Canada, Slovenia, the UK, and the USA, and a strong global deployment pipeline. AssetCool is a fast-growing company with plans to more than double in size over the next six months. Backed by international investors from the US, mainland Europe, and the UK, we are proud to be one of the most innovation-focused companies in the UK energy sector. We’re looking for ambitious, mission-driven individuals who are excited to work hard alongside their colleagues to build and deploy world-leading technology that tackles some of the planet’s most urgent infrastructure challenges. Role Overview We are looking for an Embedded Systems Engineer to join our engineering team and own the firmware development that enables the operation of various robotic control and instrumentation modules. You will be responsible for designing and implementing microcontroller firmware, sensor drivers, and control logic to interface with a wide range of hardware including motors, pumps, actuators, RC modules, and an onboard Linux computer. This is a hands-on role working close to the hardware. You will develop reliable, maintainable firmware for systems operating in harsh outdoor environments, collaborating closely with electronics, mechatronics, and systems engineers to deliver robust robotic solutions for power lines inspection and capacity expansion. Key Responsibilities • Design, develop, and maintain embedded firmware for microcontroller-based systems used in AssetCool power line robots., • Develop sensor drivers and hardware abstraction layers for analogue and digital sensors., • Implement real-time control logic for motors, pumps, valves, actuators., • Interface with and integrate communication buses including CAN, SPI, I2C, UART/Serial, USB, Ethernet, and wireless links., • Support board bring-up, hardware–firmware integration, and low-level debugging of new electronics., • Collaborate with electronics engineers on design, interfaces, operating requirements and constraints, and hardware validation., • Develop diagnostics, logging, and fault-handling mechanisms suitable for field deployment., • Contribute to safety-related firmware behaviour, including fault detection, fail safe, and recovery strategies., • Develop unit tests, integration tests, and production test firmware., • Support system-level integration and testing of robotic platforms in lab and field environments., • Analyse logs, telemetry, and field data to diagnose issues and improve firmware robustness., • Maintain clear technical documentation for firmware architecture, interfaces, and behaviour. Required Skills & Experience • BSc or MSc in Embedded Systems, Computer Engineering, Electronics Engineering, Mechatronics, or a related discipline., • 3+ years of professional experience developing embedded firmware for microcontroller-based systems., • Strong proficiency in C/C++ for embedded systems., • Hands-on experience with mainstream embedded platforms including Arduino, STM32, ARM Cortex-M, SAMD21, and ESP32., • Experience implementing and debugging communication protocols such as CAN, SPI, I2C, UART/Serial, and USB., • Familiarity with real-time constraints, interrupts, timers, and low-level peripheral configuration., • Experience with motor and pump closed-loop control systems., • Experience debugging embedded systems using oscilloscopes, logic analysers, and debuggers., • Familiarity with bootloaders, firmware update mechanisms, and device provisioning., • Ability to work hands-on with hardware in a lab and field-testing environment., • Experience with version control systems (Git) and collaborative development workflows. Preferred Skills & Experience • Familiarity with CAN-based higher-layer protocols (e.g. CANopen, DroneCAN)., • Experience working with RTOS-based systems (FreeRTOS or similar)., • Experience developing firmware for battery-powered or low-power systems., • Experience developing embedded systems for outdoor, industrial, or robotic applications., • Understanding of safety-related firmware design and fault handling strategies., • Experience with data streams over wireless interfaces such as Wi-Fi and Bluetooth., • Public Github repository showing contributions to personal or public open-source projects. Research shows that some candidates may hesitate to apply unless they meet every listed requirement. If this role excites you but your experience doesn’t align perfectly with every qualification, we still encourage you to apply. You might be exactly who we're looking for, either for this role or another opportunity within our team. We’re proud to be an equal opportunities employer and welcome applications from people of all backgrounds. We’re committed to building an inclusive, supportive workplace where everyone can thrive, regardless of age, disability, gender identity, marital or civil partnership status, pregnancy or maternity, race, religion or belief, sex, or sexual orientation. If you have a disability or any specific requirements and need adjustments at any stage of the recruitment process, just let us know and we’ll do our best to accommodate your needs. We may close this vacancy early if we receive a high volume of applications. We are not looking for agency support currently.

Role: Design Engineer – Manufacturing and Industrial Machinery About AssetCool AssetCool is addressing one of the most pressing challenges in the global energy transition - grid congestion. By combining cutting-edge grid robotics with breakthrough materials science, our technology transforms the physical performance of the grid in situ, increasing current-carrying capacity by up to 30%, at just 5% of the cost and in a tenth of the time compared to conventional approaches. In addition to enhancing capacity, our solutions tackle other grid constraints, including corrosion and electrical noise, and enable the collection of high-value data to build accurate, predictive digital twins. This technology is proving transformative and is being adopted at an accelerating pace, with deployments across Canada, Slovenia, the UK, and the USA, as well as a strong global deployment pipeline. AssetCool is a fast-growing company with plans to more than double in size over the next six months. Backed by international investors from the US, mainland Europe, and the UK, we are proud to be one of the most innovative-focused companies in the UK energy sector. We’re looking for ambitious, mission-driven individuals who are excited to work hard alongside their colleagues to build and deploy world-leading technology that tackles some of the planet’s most urgent infrastructure challenges. Role Overview We are seeking a Design Engineer to take technical ownership of our coating application module and the accelerated curing unit (CAM_ACU) platform. This role sits at the intersection of mechanical design, manufacturing engineering, automation, and product thinking. You will be responsible not only for improving performance, reliability, and efficiency, but also for elevating ergonomics, usability, digital integration, and the overall look and feel of the system as it matures into a flagship AssetCool product. You will work closely with AssetCool’s engineering, manufacturing partners, and commercial teams, and will have significant influence over how the CAM_ACU platform scales globally. Key Responsibilities • Lead the mechanical and systems-level design development of the CAM_ACU platform, improving robustness, manufacturability, and performance, • Identify and implement design improvements to increase throughput, reduce waste, and improve coating consistency and yield, • Improve ergonomics, operator interaction, access, maintenance, and safety across the CAM_ACU system, • Drive design-for-manufacture and design-for-installation improvements to reduce build time, commissioning effort, and total cost of ownership, • Introduce greater digitalisation into the platform, including sensors, data capture, process monitoring, and interfaces that support Industry 4.0 principles, • Support the development of digital twins, diagnostics, and remote monitoring capabilities in collaboration with AssetCool’s wider technology roadmap, • Work with automation and controls specialists to improve system integration, control logic, and data flows between modules, • Contribute to the visual design, branding, and industrial aesthetics of the CAM_ACU to ensure it reflects AssetCool’s technology leadership, • Produce and maintain high-quality CAD models, drawings, technical documentation, and specifications, • Support integration with customer cable handling systems and adapt designs for different factory layouts and regional requirements, • Work with suppliers and manufacturing partners to iterate designs based on real-world feedback and operational experience, • Support trials, commissioning, and continuous improvement based on field and customer data Required Skills & Experience • Degree (or equivalent experience) in Mechanical Engineering, Design Engineering, Mechatronics, or a related discipline, • Excellent experience in mechanical design of industrial equipment, machinery, or production systems, • Proficiency in 3D CAD and engineering drawings (e.g. SolidWorks, Inventor, Creo, or similar), • Experience designing systems that interact with moving products, tensioned materials, or continuous processes, • Understanding of manufacturing processes, tolerances, materials, and industrial safety considerations, • Ability to take designs from concept through to manufacture, installation, and operation, • Strong problem-solving skills and a practical, hands-on engineering mindset, • Comfortable working in a fast-moving, evolving environment with incomplete information Preferred Skills & Experience • Experience with automation, sensors, PLC-adjacent systems, or industrial data acquisition, • Exposure to Industry 4.0 concepts such as digital twins, predictive maintenance, or connected machinery, • Experience designing for ergonomics, usability, and operator-centred industrial systems, • Knowledge of coating, curing, thermal processes, or continuous production lines, • Experience working with OEMs, system integrators, or industrial equipment suppliers, • Interest in industrial design, branding, and visual coherence of engineered products, • Experience supporting pilot systems transitioning into commercial products Why Join AssetCool? • Work on groundbreaking technology revolutionising the power grid., • Fast-growing startup with significant industry traction and large-scale projects., • Collaborative, innovation-driven team with exciting career growth opportunities., • Competitive salary and flexible work options. Research shows that some candidates may hesitate to apply unless they meet every listed requirement. If this role excites you but your experience doesn’t perfectly align with every qualification, we still encourage you to apply. You might be exactly who we're looking for, either for this role or another opportunity within our team. We’re proud to be an equal opportunities employer and welcome applications from people of all backgrounds. We’re committed to building an inclusive, supportive workplace where everyone can thrive, regardless of age, disability, gender identity, marital or civil partnership status, pregnancy or maternity, race, religion or belief, sex, or sexual orientation. If you have a disability or any specific requirements and need adjustments at any stage of the recruitment process, just let us know, and we’ll do our best to accommodate your needs. We may close this vacancy early if we receive a high volume of applications. We encourage you to apply as soon as possible to avoid missing out. We are not looking for agency support currently.

About Us AssetCool is addressing one of the most pressing challenges in the global energy transition - grid congestion. By combining cutting-edge grid robotics with breakthrough materials science, our technology transforms the physical performance of the grid in situ, increasing current-carrying capacity by up to 30%, at just 5% of the cost and in a tenth of the time compared to conventional approaches. In addition to enhancing capacity, our solutions tackle other grid constraints including corrosion, electrical noise, and enable the collection of high-value data to build accurate, predictive digital twins. This technology is proving transformative and is being adopted at an accelerating pace, with deployments across Canada, Slovenia, the UK, and the USA, and a strong global deployment pipeline. AssetCool is a fast-growing company with plans to more than double in size over the next six months. Backed by international investors from the US, mainland Europe, and the UK, we are proud to be one of the most innovation-focused companies in the UK energy sector. We’re looking for ambitious, mission-driven individuals who are excited to work hard alongside their colleagues to build and deploy world-leading technology that tackles some of the planet’s most urgent infrastructure challenges. Role Overview As the Materials Test and Validation Engineer, you will play a critical role in ensuring the performance and longevity of our proprietary coatings. You will be responsible for validating our conductor coatings through both internal testing and management of third-party laboratories. You will design and execute test plans, build test rigs, collect and analyse data, and provide clear feedback to design teams. This role requires strong hands-on skills, analytical thinking, and cross-disciplinary knowledge. Key Responsibilities • Design and execute test protocols specifically for specialised coatings and composites., • Design and implement test rigs and fixtures for material stress testing and validation in lab and field., • Manage and oversee comprehensive testing programs with external laboratories, covering mechanical, electrical, and environmental validation requirements., • Collect, process, and analyse large test datasets; prepare reports with actionable insights for engineering and chemistry teams., • Collaborate with chemistry and engineering departments to close the loop between testing and product improvements., • Ensure compliance with safety standards and applicable regulations., • Support root cause analysis and troubleshooting during development and field deployment., • Maintain test equipment, calibration, and documentation, and support establishing testing standards across development. Key Skills and Experience Required • A Degree in Materials Science, Metallurgy, Chemical Engineering, or a related field focusing on composites or coatings., • 3+ years’ experience in test & validation, R&D, or systems engineering., • Technical Expertise: Strong practical experience in the properties and testing of coatings, polymers, or metallurgy., • Proficiency in processing and analyzing large test datasets using tools like Python, MATLAB, or similar for data acquisition (DAQ)., • Practical experience in testing for environmental degradation, including accelerated aging, thermal cycling, UV exposure, and corrosion resistance., • Experience managing external validation projects with commercial laboratories, ensuring compliance with international testing standards., • Familiarity with data acquisition systems and sensors used for material stress and thermal monitoring., • General understanding of material performance standards (e.g., ISO, ASTM, or IEC) and how to apply them to validation plans., • Knowledge of reliability engineering principles, such as FMEA or root cause analysis for material failures. Why Join AssetCool? • Work on groundbreaking technology revolutionizing the power grid., • Fast-growing startup with significant industry traction and large-scale projects., • Collaborative, innovation-driven team with exciting career growth opportunities., • Competitive salary, and flexible work options Research shows that some candidates may hesitate to apply unless they meet every listed requirement. If this role excites you but your experience doesn’t align perfectly with every qualification, we still encourage you to apply. You might be exactly who we're looking for, either for this role or another opportunity within our team. We’re proud to be an equal opportunities employer and welcome applications from people of all backgrounds. We’re committed to building an inclusive, supportive workplace where everyone can thrive, regardless of age, disability, gender identity, marital or civil partnership status, pregnancy or maternity, race, religion or belief, sex, or sexual orientation. If you have a disability or any specific requirements and need adjustments at any stage of the recruitment process, just let us know and we’ll do our best to accommodate your needs. We may close this vacancy early if we receive a high volume of applications. We are not looking for agency support currently.

Role: Robotics Algorithms Engineer About AssetCool AssetCool is addressing one of the most pressing challenges in the global energy transition - grid congestion. By combining cutting-edge grid robotics with breakthrough materials science, our technology transforms the physical performance of the grid in situ, increasing current-carrying capacity by up to 30%, at just 5% of the cost and in a tenth of the time compared to conventional approaches. In addition to enhancing capacity, our solutions tackle other grid constraints including corrosion, electrical noise, and enable the collection of high-value data to build accurate, predictive digital twins. This technology is proving transformative and is being adopted at an accelerating pace, with deployments across Canada, Slovenia, the UK, and the USA, and a strong global deployment pipeline. AssetCool is one of the fastest growing start-ups in Europe, with plans to more than double, again, in size over the next six months. Backed by international investors from the US, Europe, and the UK, we are proud to be one of the most innovation-focused companies in the UK energy sector. We’re looking for ambitious, mission-driven individuals who are excited to work hard alongside their colleagues to build and deploy world-leading technology that tackles some of the planet’s most urgent infrastructure challenges. Role Overview We are seeking a Robotics Algorithms Engineer (Perception, Sensor Fusion & Autonomy) to design, develop, and help validate the algorithms that power our next generation of autonomous robotic systems. This is a hands-on, applied engineering role focused on real-world robotics – developing and deploying perception, sensor fusion, and autonomy algorithms on operational robotic platforms. You’ll work across the full development lifecycle, from early prototyping through to robust implementation, field testing, and iteration in challenging outdoor environments. You will collaborate closely with software engineers, mechatronics engineers, and embedded engineers to deliver algorithms that are measurable, testable, and deployable on real hardware – balancing performance, compute constraints, and robustness. Key Responsibilities You will contribute to the development of core autonomy systems, including: • Design and develop prototype and production-ready perception pipelines, including detection, segmentation, tracking, registration, and scene understanding., • Work with a wide range of sensors and modalities, such as: RGB cameras; thermal cameras; LiDAR; depth cameras; IMUs; GNSS; RTK; environmental sensors; pressure sensors, ensuring robust operation across varying environments and signal quality., • Develop inspection and QA capabilities to validate coating application results, including coverage estimation, defect detection, and quantitative metrics for field verification and reporting., • Develop 3D perception and reconstruction algorithms, including (but not restricted to) Structure-from-Motion (SfM), multi-view reconstruction/visualisation, depth fusion, and dense/sparse mapping pipelines., • Design and implement motion/pose estimation and tracking techniques (e.g. Visual Inertial Odometry), supporting accurate localisation under challenging real-world conditions., • Design and prototype autonomous behaviours and control systems that use fused state estimates, perception outputs, and environmental models to operate reliably in real-world conditions., • Perform algorithm design and analysis to balance trade-offs between accuracy, latency, and reliability., • Collaborate with software engineers to integrate algorithms into production systems (C++/Python services, edge inference pipelines, robotics middleware)., • Communicate clearly through short technical write-ups, design notes, sprint demos, and experiment logs., • Contribute to engineering best practice (clean code, Git workflows, reproducible testing, documentation). Required Skills & Experience • Strong proficiency in Python and/or C++ for algorithm developing and interfacing with sensing hardware., • Experience using Linux as a development environment., • Solid foundations in core perception concepts, including:, • segmentation, classification, registration, object detection, tracking, pattern recognition, • Hands-on experience implementing Kalman filtering (or related state estimation techniques) and applying them to real sensor data., • Experience in working with visual sensors (RGB cameras; depth cameras; LiDAR)., • Experience designing and implementing sensor fusion systems involving multiple modalities., • Experience designing and implementing autonomous robotic control systems., • Ability to work in conjunction with systems programmers across the full development and test lifecycle (prototype → integration → validation). Why Join AssetCool? • Work on groundbreaking technology revolutionizing the power grid., • Fast-growing startup with significant industry traction and large-scale projects., • Collaborative, innovation-driven team with exciting career growth opportunities., • Competitive salary, and flexible work options Research shows that some candidates may hesitate to apply unless they meet every listed requirement. If this role excites you but your experience doesn’t align perfectly with every qualification, we still encourage you to apply. You might be exactly who we're looking for, either for this role or another opportunity within our team. We’re proud to be an equal opportunities employer and welcome applications from people of all backgrounds. We’re committed to building an inclusive, supportive workplace where everyone can thrive, regardless of age, disability, gender identity, marital or civil partnership status, pregnancy or maternity, race, religion or belief, sex, or sexual orientation. If you have a disability or any specific requirements and need adjustments at any stage of the recruitment process, just let us know and we’ll do our best to accommodate your needs. We may close this vacancy early if we receive a high volume of applications. We encourage you to apply as soon as possible to avoid missing out.

CD638063 Business Development Manager - Market Research Services c. £35 – 55,000 plus Commission; Hybrid/Remote (North of England) Take on a key Business Development Manager role in the north of England for this leading European provider of market research services, customer engagement and loyalty solutions! Your role will be to develop new business and expand key accounts for their market research services division - hence you'll be pitching both research agencies and clients direct re solutions centred around delivering online surveys and related offerings. Your regional focus will be north of England/UK territories, and you'll collaborate with the UK Sales Director - North, in so doing; hence a mix of remote and hybrid working with occasional trips to the group's UK HQ in London. Ideally you'll have already been successfully selling similar services with market research, data collection and survey solutions, and you'll either be based in the north of England already (e.g. Leeds, Manchester, York are good locations) or you'll be seeking to return/relocate there, in which case this could be the ideal move to facilitate that! You'll be working closely with a supportive director, and will join a hugely reputable international form with a cohesive, flexible culture that also offers fair and achievable reward for good sales performance. For further details contact Carl at Resources Group. About Resources Group: With over twenty five years’ experience helping thousands of Researchers, Insight Specialists, Marketers and Data Analysts in their career moves, no one has better knowledge of the Market Research, Insights and Marketing Strategy job market than Resources Group. Our consultants take the time to understand your career aims and are dedicated to providing impartial advice and finding you the best career move, with access to an unrivalled range of opportunities with top employers in the sector - visit our website for many more options! Resources Group’s Diversity and Equality Policy determines that we submit applicants to our clients on the basis of merit and ability, regardless of race, colour, age, disability, family responsibilities, gender, marital status, nationality, religious or political views or affiliations, sexual orientation or socio-economic background.

🌟 Account Development Associate – Iris Software 📍 Location: Leeds 📅 Experience: 6–12 months in sales (B2B preferred) 💼 Employment Type: Full-time 📈 Entry level ✨ About Iris Software Iris Software is a trusted technology partner delivering digital transformation, product engineering, and IT consulting solutions to enterprises worldwide. 🌐 As we continue to grow, we’re looking for ambitious early-career talent to join our high-performing sales organization and help build strong relationships with prospective clients. 🚀 About the Role The Account Development Associate is a critical front-line role that helps fuel the growth of Iris Software’s client portfolio. You’ll engage potential customers, understand their challenges, and create qualified opportunities for the sales team. This is an excellent opportunity to build a strong foundation in B2B tech sales, with coaching and pathways for progression. 💼✨ 🎯 Key Responsibilities • 🔍 Identify, research, and qualify prospective client accounts, • 🤝 Conduct outreach via email, phone, and LinkedIn to engage decision-makers, • 📞 Book discovery calls and set high-quality meetings for Account Executives, • 🗂️ Maintain accurate data and activity tracking in the CRM, • 📊 Support sales campaigns, events, and targeted outreach initiatives, • 🧭 Gain a strong understanding of Iris Software’s solutions and the industries we serve, • 💡 Provide insights on lead quality, messaging, and prospect trends 🧩 What We’re Looking For • 🎓 6–12 months of experience in sales, business development, or lead generation, • (B2B or tech industry experience is a plus, but not required!), • 💬 Excellent communication skills — written and verbal, • 🚀 High motivation, curiosity, and a willingness to learn, • 🎯 Target-driven mindset with strong organizational skills, • 🖥️ Experience using CRM tools (e.g., Salesforce, HubSpot) is helpful, • 🤝 A team player with a positive, proactive attitude 🌱 Why Join Iris Software? • 🧭 Clear career path within sales and business development, • 📚 Training, mentorship, and ongoing learning opportunities, • 🌍 Collaborative, global team culture, • 🚀 Work with innovative technology solutions and enterprise clients, • 💰 Competitive salary + incentive structure 📩 How to Apply Submit your resume and a short introduction to [insert email or application link]. We’re excited to learn more about you! ✨

Property Sales Consultant (Leeds) Job Title: Property Sales Consultant Location: Leeds City Centre Employment Type: Full-time Reports To: Divisional Head of Sales Salary: Competitive base salary + commission + performance incentives Role Overview The Commercial Property Sales Consultant will lead sales and lettings activity across the Leeds commercial property market. The role requires strong commercial acumen, the ability to build relationships with business owners and investors, and the capability to manage complex sales transactions. The consultant will handle enquiries, conduct viewings, negotiate heads of terms, and support clients through acquisition or disposal processes. Key Responsibilities Sales, Lettings & Business Development • Drive sales and lettings of commercial properties, including office, industrial, retail, and mixed-use assets., • Proactively generate new instructions through prospecting, networking, and market research., • Conduct market appraisals, pitch services to prospective clients, and secure new business mandates., • Manage a pipeline of buyers, tenants, landlords, and investors to meet monthly and quarterly revenue targets., • Provide strategic advice on pricing, market trends, asset positioning, and investment opportunities., • Manage relationships with SMEs, corporate occupiers, landlords, developers, and investors., • Monitor local and regional commercial property trends, comparable transactions, and competitor activity., • Advise clients on lease structures, yields, rental values, incentives, and ROI considerations., • Collaborate with marketing teams to prepare commercial property listings, brochures, site boards, and digital advertising., • Ensure all property information is accurate, compliant, and effectively marketed via online portals, internal systems, and direct campaigns., • Oversee negotiations through to exchange and completion, working closely with solicitors, surveyors, and external professionals., • Ensure all activities comply with industry regulations (e.g., AML, GDPR, RICS guidance, CPD requirements)., • Maintain detailed records of enquiries, offers, and deal progression via CRM and agency software. Skills & Experience Required Essential • 1 to 2 years’ Experience in commercial property sales, lettings needed., • Solid understanding of commercial markets—offices, industrial, retail, or investment property., • Strong negotiation and communication skills, with the ability to manage complex commercial deals., • Ability to analyse market data, understand valuation principles, and present insights to clients., • Full UK driving licence and access to a vehicle., • Experience with commercial agency software (e.g., Realla, Loop, Estates Gazette / Radius, CRM tools)., • Familiarity with investment sales, development appraisals, or lease advisory., • RICS accreditation or progress toward APC/AssocRICS is an advantage. Personal Attributes • Commercially minded with strong financial awareness., • Confident networker with the ability to build long-term B2B relationships., • Results-driven, resilient, and motivated by targets., • Professional, articulate, and comfortable dealing with senior decision-makers. Benefits • Competitive commission and bonus structure., • Professional development support, including RICS pathways (if applicable)., • Company pension, mileage allowance, and additional incentives., • Opportunity to work with high-profile clients and significant regional assets.

Reporting to the Head of Customer Insight, you will manage a team of four analysts and drive data-led decision making across the organisation. Utilise research data, social listening, and wider insight methodologies. Collaborate with Data Science to apply predictive models.

About iMerit iMerit combines human expertise with advanced technology to power AI across healthcare, life sciences, and other critical sectors. Our teams deliver the data, insights, and human-in-the-loop validation that help global organizations develop safe, ethical, and inclusive AI systems. iMerit’s Healthcare & Life Sciences division is partnering with a leading global technology company on a short, paid project aimed at improving the safety, accuracy, and inclusivity of emerging clinical AI tools. We’re inviting a select group of UK-licensed medical doctors to contribute clinical expertise by reviewing medical documents and providing structured assessments that help ensure AI systems rely on clinically sound, authoritative sources. Role Summary As a participating medical doctor, you will review medical documents and provide expert assessments to help ensure AI systems rely on sources that are accurate, authoritative, and clinically sound. The work is remote, flexible, and designed for physicians who want to contribute to the responsible advancement of medical technology. Key Details • Position: Medical Document Reviewer - Clinical AI Project, • Commitment: Approximately 10 hours total (including onboarding, short training, and review tasks), • Location: Remote, based in the UK, • Compensation: Competitive paid engagement, • Timing: Immediate start; limited slots available, • Future work: Participants who complete the initial phase successfully will have the opportunity for ongoing paid work if interested Who We’re Looking For • MDs with 1+ years of clinical experience, • Actively licensed physicians practicing in the UK, • Comfortable with digital tools and remote collaboration, • Interested in applying medical expertise to AI ethics, accuracy, and inclusion, • Strong clinical judgment and comfort reviewing medical documentation and references. Why Join • Contribute directly to advancing fairness and safety in medical AI, • Collaborate with a respected global team shaping the future of healthcare technology, • Short, flexible commitment that fits within your professional schedule, • Become part of an exclusive cohort of experts invited for future research and consulting work

Precision for Medicine is hiring a Medical Director/Senior Medical Director – Oncology to join our global team! candidates can work remotely in any of the following locations: UK, Poland, Hungary, Romania, Serbia or Slovakia. Position Summary The Medical Director serves as the project physician and provides medical and scientific expertise to project teams. The Medical Director’s primary focus of work will be to ensure the accuracy and integrity of the data resulting from the trial, with concentrated focus on patient safety. This position also participates in the strategic planning and execution of critical development programs for a variety of clients in Oncology/Haematology contributes to the development of Precision’s Medical team and supports Business Development activities. Essential functions of the job include but are not limited to: • Work closely with senior leaders in Medical, Operational Strategy, and Business Development to support client engagement., • Support Business Development and Proposals teams by participating in the RFP process; prepare medical considerations section for proposals; and support or participate in bid defense meetings., • Write or edit scientific content of deliverables within budget and timelines., • Collaborates with Regulatory Affairs on regulatory product landscape and strategies as a part of overall drug development strategy., • Provide scientific insight and create content for specified company releases (e.g., white papers and publication manuscripts)., • Review and revise protocols, case report forms, training materials, project specific tools, analysis plans, study designs, clinical trial reports and new drug applications., • Review laboratory values, adverse events, coded adverse event and medication data, and data tables, listings and figures as needed., • Serve as a medical resource for study sites, the project team and clients., • Assist in the preparation of the Medical Monitoring Plan and materials for investigator meetings and staff training sessions., • Assume responsibility for medical and safety monitoring on assigned projects., • Participate in feasibility discussions relating to specific project proposals., • Develop training modules and provide training concentrating on disease states., • Participate in process improvement activities., • Collaborate with Vice President, Global Medical and other members of the Medical Science Department to support growth and development activities globally. Qualifications Minimum Required: • MD, DO, MBBS, or equivalent medical qualifications., • 5+ years of Oncology clinical experience., • Ability to strategically analyze oncology clinical trial protocols., • Availability for domestic and international travel including overnight stays (approximate 30% travel requirement). Preferred • Experience working as a Medical Director for a CRO or Pharmaceutical company., • Oncology Fellowship or equivalent., • Maintains current scientific and medical knowledge base. Skills/Competencies • Ability to deliver on commitments; understands the service culture., • Strategic thinker who can build strategic drug development solutions associated with novel development programs, study designs, and patient populations., • Demonstrates a high degree of professionalism, as evidenced by punctuality, positive interactions with customers and teammates, including good interpersonal skills., • Communicate effectively in the English language both verbally and in a written form., • Conduct formal presentations to a wide variety of audiences including colleagues., • Strong visual and presentation skills., • Ability to work effectively in a fast-pacing team setting, with minimal supervision., • Proven efficiency in working remotely. Precision for Medicine is the first global precision medicine clinical research services organization, purpose-built to improve the clinical research and development process for new therapeutics. Our novel approach integrates clinical operations excellence, with laboratory expertise, and advanced data sciences to inform every step. We apply our expertise to trials at all stages—from early development through approval—with embedded experience in oncology and rare disease. Any data provided as a part of this application will be stored in accordance with our ___ For CA applicants, please also refer to our ___. Precision Medicine Group is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, age, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status or other characteristics protected by law. If you are an individual with a disability and require a reasonable accommodation to complete any part of the application process or are limited in the ability or unable to access or use this online application process and need an alternative method for applying, you may contact Precision Medicine Group at . It has come to our attention that some individuals or organizations are reaching out to job seekers and posing as potential employers presenting enticing employment offers. We want to emphasize that these offers are not associated with our company and may be fraudulent in nature. Please note that our organization will not extend a job offer without prior communication with our recruiting team, hiring managers and a formal interview process.

Clinical Use Case Specialist – Digital Health Permanent | UK‑wide | Remote with NHS site travel Confidential Employer | Fast‑Growth SME (30+ headcount) Are you an experienced NHS Acute clinician with a passion for digital transformation? This rapidly scaling digital health SME (70–80% year‑on‑year growth) is expanding its clinical product team and is seeking a Clinical Use Case Specialist to help shape the future of clinical communication and digital workflows across UK hospitals. The Opportunity In this role, you will evaluate how digital clinical communication tools are used in real‑world NHS settings, identify workflow pain points, and develop new clinical use cases that improve safety, efficiency, and patient outcomes. You’ll work directly with frontline clinicians, informatics teams, product, and engineering to refine and evolve digital pathways used across large Acute trusts. Key Responsibilities • Evaluate real‑world clinical usage, uncovering gaps, inefficiencies and opportunities within hospital workflows, • Refine existing digital pathways and shape new use cases across different clinical areas, • Ensure clinical safety, compliance, governance and alignment with NHS policy and standards, • Work across clinical, product, and technical teams to influence roadmap and feature prioritisation, • Conduct clinical and user research to understand needs, behaviours and pain points, • Use data and analytics to measure success, adoption, and clinical benefit ✔ Must have worked within a large NHS Acute Hospital ✔ Strong understanding of NHS clinical workflows, clinical risk, governance and safety ✔ Experience digitising clinical pathways or delivering digital transformation in healthcare ✔ Health informatics, clinical informatics, or digital clinical workflow experience ✔ Experience working with multi‑disciplinary clinical and technical teams ✔ Understanding of interoperability standards (FHIR, HL7), data governance and NHS policy ✔ Product, programme or service improvement experience in a clinical‑digital environment Nice to Have • Clinical background (doctor, nurse, AHP), • Experience with clinical decision support, EPR integration or safety‑critical tools, • Work with a high‑growth, mission‑driven SME shaping the future of clinical communication, • Be part of a tight‑knit team of 30+ with huge scope for influence and progression, • Opportunity to improve real clinical outcomes at regional and national scale, • Work closely with former NHS leaders and digital innovators If you’re passionate about improving the way clinicians work and want to contribute to meaningful digital change, we’d love to hear from you. Please contact Sophie Peters at for further information.

ROLE TITLE: Service Manager LOCATION: Remote Salary: £36k - £41k per annum Duration: 6 months We are actively looking to secure a Service Manager candidate to join Experis. Experis Consultancy is a Global entity with a well-established team with over 1000 consultants on assignment across 20 clients globally. Our UK operation is growing and has very aggressive plans for expansion over the coming years. We form part of the Manpower group of companies that turn over $20 billion a year collectively. Experis UK have partnerships with major clients across the UK spanning multiple industries; our approach is a very personal one, with both our clients and our own employees. We are passionate about training, technology and career development. Key accountabilities of the role • Plan and manage project timelines, deliverables, and resources., • Facilitate daily stand-ups and team meetings., • Track progress and update stakeholders on status., • Manage risks, issues, and dependencies., • Coordinate with cross-functional teams to ensure alignment., • Prepare reports and maintain project documentation. Essential Skills: • Assist in project planning, scheduling, and reporting., • Support research, data collection, and documentation activities., • Help maintain tools, systems, and processes for the team., • Coordinate meetings and track action items., • Learn and apply best practices in project and operational workflows. Benefits Include: • Contributory pension scheme, • Employee Assistance Program, • Medical and Dental cover, • 22 days holiday + bank holidays, • Maternity Pay/Shared Parental leave and paternity leave, • Sick pay Suitable Candidates should submit CVs in the first instance.

About Princeton Biopartners: Princeton Biopartners is a leading provider of integrated consulting solutions to the life sciences sector. Our mission is to improve the evidence base, accessibility, and dissemination of biomedical innovations through strategic advisory, software development, and venture funding. We partner with leading pharmaceutical, biotechnology, and healthcare organizations to tackle complex challenges and deliver impactful solutions. This is a contract role ideal for a postgraduate student at a research-intensive university who can commit 5–10 hours per week. As part of our team, you will contribute to cutting-edge projects that drive advancements in life sciences while gaining valuable, hands-on experience in strategic consulting. Key Responsibilities: • Conduct in-depth literature reviews and secondary research to support client projects., • Analyze market trends, healthcare data, and industry reports to provide actionable insights., • Assist in developing client deliverables, including strategic presentations and reports., • Support data collection and synthesis for market sizing and forecasting analyses., • Collaborate with our team on high-impact research initiatives and client engagements. Ideal Candidate Profile: • Postgraduate Student: Currently enrolled at a research-intensive university (preferably in London or Oxbridge), pursuing a degree in the life sciences, economics, or a related field., • Commitment: Able to dedicate 5-10 hours per week to the internship; contracted on a monthly rolling basis., • Research Expertise: Strong analytical and critical thinking skills, with experience in academic or industry research., • Curious and Independent: A self-starter who thrives in an intellectually stimulating environment and can work with limited supervision., • Communication Skills: Strong written and verbal communication skills, with the ability to present complex ideas clearly and concisely., • Microsoft Office: Proficient in PowerPoint and Excel, with a strong eye for visual design and the ability to transform complex information into clear, engaging, and easily digestible content. Why Join Us? • Real-World Impact: Work on projects that address critical challenges in life sciences, such as improving healthcare accessibility and innovation dissemination., • Growth Opportunities: Gain hands-on experience, mentorship, and exposure to strategic consulting in the life sciences sector., • Flexible Schedule: A remote role with a manageable time commitment, ideal for balancing with academic pursuits., • Collaborative Environment: Join a team that values intellectual curiosity, collaboration, and innovation. Compensation and Benefits: • Competitive hourly rate., • Reimbursement for professional development resources (e.g., relevant software or research tools)., • Opportunities to network with industry professionals and thought leaders. Application Process: We encourage interested candidates to apply early by submitting their CV and a brief cover letter highlighting their research experience and passion for life sciences consulting. Applications will be reviewed on a rolling basis, and for those invited to interview, the process typically takes 2-4 weeks. Princeton Biopartners is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all team members.

Are you a passionate and dedicated pharmacist looking for an exciting new opportunity? We are currently seeking a Clinical Pharmacist to join our dynamic healthcare team in Jersey. Whether you are newly qualified, have experience in community pharmacy, or come from a hospital pharmacy background with a clinical diploma, we want to hear from you. Read more about our Pharmacy Department and moving to Jersey here - ___ Main duties of the job Provide specialist Clinical Pharmacy Services to HCJ to help ensure the safe, clinically effective, and economical use of medicines. Job responsibilities • Support the Lead Pharmacists and Clinical Pharmacy Manager in the delivery of a high quality, patient-focused medicines optimisation service for patients in line with nationally approved standards, within a designated area., • Monitor and review therapeutic programmes for patients and provide specialist information, advice and guidance on the safe, effective and economical use of medicines, so that patients receive the best pharmaceutical treatment with minimal adverse effects., • Undertake medication reviews, including medicines reconciliation for newly admitted patients and pharmaceutical care planning prior to discharge, to minimise risks with medication associated with transfers between care settings. LFiaise with medical and nursing staff over any clinical issues, to ensure that each patient is receiving the most appropriate medication., • Work as a member of the multi-professional health and care teams including attendance at ward rounds, providing highly complex clinical pharmacy advice and expertise to peers, patients and management to ensure that best practice is promoted and delivered to patients., • Advise on complex prescribing issues to medical and nursing staff to ensure that legislative requirements and best practice standards are met in the delivery of pharmacy service., • Support the Clinical Pharmacy Manager in the development of local clinical pharmacy guidelines and policies. Implement national and local policies and guidelines related to medicines., • Provide specialist information to support formulary decisions by the Drugs and Therapeutics Committee., • Provide planned sessional clinical and professional supervision with the pharmacy dispensary., • Develop and deliver medicines related training programmes to medical, nursing and pharmacy staff., • Identify and participate in areas of research including audits of medicines use to assist with medicines optimisation throughout the department., • On-call involvement and participation in the weekend rota are an essential requirement for the role. Person Specification Essential qualifications: • Registered pharmacist with the GPhC. Essential experience: • Vocational (four year) masters degree in pharmacy., • Registration with the General Pharmaceutical Council (obtained by completing one-year post-graduate pre-registration training with final examination)., • Post-graduate MSc or Diploma in Clinical Pharmacy (desirable but not essential different salary schemes), • Specialist knowledge of therapeutics of common disease states and frequently used therapeutic regimes., • Well-developed knowledge of pharmaceutical technical and clinical procedures acquired through training and experience., • Knowledge of checking dispensed prescriptions and supervising staff within the Pharmacy., • Good understanding of medicines governance, safety and management, including relevant legislation., • Understanding of clinical governance, medication incidents and risk management., • Up to date knowledge of national guidelines and legislation relating to medicines use and pharmacy practice., • Practical knowledge of maintaining records according to confidentiality and data protection protocols., • Excellent communication; verbal and written., • Communicates effectively across all levels., • Ability to adapt personal style in order to influence others and gain support for ideas., • Supports the development of and shares learning with other members of staff., • Able to remain professional and effective under pressure., • Committed to continuous service improvement and also continued professional development for themselves and their team. Disclosure and Barring Service Check This post is subject to the Rehabilitation of Offenders Act (Exceptions Order) 1975 and as such it will be necessary for a submission for Disclosure to be made to the Disclosure and Barring Service (formerly known as CRB) to check for any previous criminal convictions. Certificate of Sponsorship Applications from job seekers who require current Skilled worker sponsorship to work in the UK are welcome and will be considered alongside all other applications. For further information visit the ___. From 6 April 2017, skilled worker applicants, applying for entry clearance into the UK, have had to present a criminal record certificate from each country they have resided continuously or cumulatively for 12 months or more in the past 10 years. Adult dependants (over 18 years old) are also subject to this requirement. ___. UK Registration Applicants must have current UK professional registration. For further information please see ___ Employer details Health and Care Jersey Address Government Of Jersey Union Street St. Helier Jersey JE2 3DN Employer's website: ___ For more information please email

Urgent requirement x5 Snr Data Scientists Start 1st week of Feb 🗓️ 12 month rolling contracts 📄 Inside IR35 💰 £700-£800 per day 🌍 UK, hybrid London (1 day office per week) I need people who have worked on production ready applied data science products, we are not interested in research heavy backgrounds for this project. You’ll be comfortable with ambiguity and will want to dive deep and fix problems at scale. You will be able to develop the prototypes of the models, and do some feature engineering. The environment looks a bit like this 👇 👉 Python (pandas, numpy, scipy, PySpark) 👉 SQL 👉 AWS or GCP (BigQuery / RedShift / Snowflake)

Quantiphi is an award-winning Applied AI and Big Data software and services company, driven by a deep desire to solve transformational problems at the heart of businesses. Our signature approach combines groundbreaking machine-learning research with disciplined cloud and data-engineering practices t

Senior AI Engineer The Essentials Location Remote UK, with expectation for attendance in the office for team meetings (approx. every two months) Employment Type Full-Time, Permanent The Opportunity Are you interested in making a difference by developing products used by the world’s largest Pharmaceutical Companies? Are you interested in working with pioneers in the field of AI and software engineering? Are you interested in innovating for impact? If you are then read on for a role with a difference where you can join our inspiring team and make a big difference with class-leading solutions. We are expanding and looking for an AI Engineer to join our team developing ground-breaking products using the latest AI and LLM (Large Language Model) agentic technologies. Our innovative solutions are transforming the industry, and we are looking for passionate individuals to join us in our mission to revolutionise healthcare in a role with a difference. Job Description We are seeking an AI Engineer with expertise in building scalable, production-grade systems and a passion for AI/LLM technologies and innovation. You will design, develop, and maintain our platform’s backend infrastructure, focusing on multi-tenant architectures, security, and efficient LLM integration. This role requires a strong understanding of Python web frameworks, cloud services (particularly AWS), and modern AI approaches including working with agentic architecture. Key Responsibilities Backend Development & Architecture - Design and implement scalable Python backend services, architect and maintain secure, high-performance, production multi-tenant systems, and develop RESTful and asynchronous APIs for internal and external use. LLM, Agents & AI Integration - Drive R&D innovation to meet client goals by building AI agentic workflows, advanced search, robust interaction and context management, and extending core model capabilities and protocols. Leadership & Collaboration - Collaborate on UI/UX integration, code reviews, architecture and roadmap decisions, and cross-functional work with data science, product, and commercial teams. Data Engineering - Design and maintain efficient data pipelines, ensuring smooth data flow between systems and LLM components while implementing robust validation, transformation, and enrichment processes. Cloud & Infrastructure - Design and implement AWS-based cloud infrastructure using infrastructure-as-code approaches and maintain CI/CD pipelines for reliable deployment and testing Security & Compliance - Operate to the highest security standards as expected by ISO27001 Qualifications and Skills Required Skills and Experience Ø 5+ years of Python backend development experience (fewer years’ experience is acceptable for exceptional candidates) Ø Strong experience of using LLMs/AI in a production setting and use of the latest techniques working with LLMs Ø Strong knowledge of cloud services (preferably AWS) and infrastructure-as-code Ø Experience with containerisation, orchestration, and CI/CD pipelines Ø Understanding of database scaling, caching strategies, and performance optimisation Ø Familiarity with LLM technologies and latest utilisation methodologies, including agentic workflows Ø Strong understanding of software design principles and coding standards Preferred Skills and Capabilities Ø Familiarity with React or other frontend technologies for better cross-team collaboration Ø Experience implementing LLM integration frameworks Ø Background in pharmaceutical or healthcare domain Ø Familiarity of working to ISMS ISO27001 standards Ø Growth mindset combined with tenacity Ø Entrepreneurial approach driven by curiosity and innovation Ø Deep customer centricity What We Offer Ø Competitive salary and benefits Ø Opportunities for professional growth Ø Flexible work hours and remote work Ø Collaborative, inclusive work environment Ø Chance to work on cutting-edge AI technologies with real-world impact Selection process • Screening interview with HR, • Introductory interview with hiring manager/technical exercise, • Capability interview with CEO/team members Circuit Medical Circuit Medical is a well-established, research-driven global consultancy that specialises in delivering comprehensive services to maximise the value of medical affairs and other functions to the biopharmaceutical industry. We proudly support leading global pharmaceutical companies such as AstraZeneca, Roche, Takeda, and many others. As we expand our digital offerings, we are building a suite of products aimed at enhancing quality, efficiency and performance for our clients and ultimately help patient care. Circuit Medical excels by being different, curious, innovative, working with ambiguity, being collaborative, communicative, all for the greater good and always delivering to a high quality. Circuit Medical welcomes everyone and creates inclusive teams where we celebrate different backgrounds, experiences, and perspectives. We encourage colleagues to bring their whole selves to work. We provide equal employment opportunities to applicants and employees without regard to race, colour, religion, age, sex, sexual orientation, gender identity, national origin, or disability. We promote a culture of trust, support, and acceptance.

Machine Learning Engineer - Contract (Financial Services, Outside IR35) Duration: 6 months Rate: £650 - £750 per day IR35: Outside Location: UK / Remote We’re seeking an experienced Machine Learning Engineer to support a Financial Services organisation on an initial 6-month contract, working on production-grade ML systems that operate in regulated, high-volume environments. This role is ideal for someone comfortable taking models from research through to deployment, with a strong appreciation for robust engineering, governance, and scalability. Responsibilities • Design, build, and deploy machine learning models into production within a Financial Services environment, • Collaborate closely with Data Scientists, Software Engineers, Risk, and Product teams, • Build and maintain end-to-end ML pipelines (training, validation, inference, monitoring), • Ensure models meet requirements around performance, resilience, and explainability, • Contribute to MLOps best practices, model governance, and technical standards, • Support model monitoring, drift detection, and ongoing optimisation Required Experience • Proven commercial experience as a Machine Learning Engineer, ideally within Financial Services, FinTech, or a regulated environment, • Strong Python skills and hands-on experience with ML libraries (TensorFlow, PyTorch, scikit-learn), • Experience deploying and supporting ML models in production, • Solid understanding of data pipelines, versioning, testing, and software engineering best practices, • Experience working with cloud platforms (AWS, GCP, or Azure) Nice to Have • Experience with fraud, risk, credit, AML, pricing, or customer analytics use cases, • Familiarity with MLOps tools (MLflow, Kubeflow, Airflow, etc.), • Docker and Kubernetes experience, • Exposure to model governance, explainability, or regulatory frameworks Contract Details • £650–£750 per day (Outside IR35), • Initial 6-month contract, with strong extension potential, • Immediate or short-notice start preferred

Senior ML & AI Engineer Remote (Bath office 1 day per month) Up to £80,000 About the Role We’re partnered with a fast-growing tech startup focused on how brands and retailers use data. Their AI platform brings together data science, immersive visualisation, and large-scale machine learning to optimise product ranges, plan shopper journeys, and drive smarter commercial decisions. They’re now looking for a Senior ML & AI Engineer to join their lean, high-impact engineering team. This is a pivotal role at the intersection of ML engineering, backend systems, and LLM integration - ideal for someone who thrives in fast-paced, hands-on environments where ML systems are core. Responsibilities • Design, build, and maintain scalable backend systems that power advanced ML and LLM applications., • Develop and manage end-to-end MLOps pipelines with automation, reproducibility, and scalability at their core., • Deploy and monitor machine learning and LLM models in production, identifying model drift and performance issues., • Drive research and development in modern ML, AI, and LLM approaches, applying SOTA techniques in a real-world setting., • Champion clean, maintainable, and well-documented code following best engineering practices. What We’re Looking For • Strong academic background in Computer Science, ML, AI, or a related field., • Deep hands-on experience with Python and ML frameworks (PyTorch, TensorFlow, Hugging Face)., • Proven background in MLOps, including model versioning, CI/CD for ML, and production monitoring., • Experience building robust backend systems and APIs to serve ML models at scale., • Strong understanding of big data technologies and data orchestration tools (Airflow, DBT)., • Familiarity with LLM integration and optimisation in production environments., • Excellent problem-solving, analytical, and communication skills., • Experience fine-tuning LLMs (e.g. Unsloth, cloud-based methods).

Football Data Engineer We’re helping a leading football club grow their data team. Working directly for the club you will work alongside data science and performance experts and take ownership of all football data pipelines. Turning complex football data into reliable, analysis-ready assets for the team powering decisions across the club. Mainly focussing on the First Team but also having exposure with Reserve, Academy and Youth Teams. Power the game with data. From numbers to goals, driving decisions to create winning results! Essential Skills (Across the pitch): • Python programming skills., • Experience designing, building and maintaining cloud based data pipelines (ETL) for structured and unstructured data from APIs (both internal and external)., • Familiarity with databases, data warehouses and cloud platforms (SQL, Snowflake, AWS)., • An understanding of data quality, testing, monitoring and documentation best practices., • Exposure with football data (either professionally or through personal projects)., • A genuine passion for football (soccer) and a curiosity-driven mindset for how data flows through the modern game. Day-to-Day Duties (In the stadium): • Build, maintain and optimise scalable data pipelines ingesting football data from multiple internal and external sources., • Clean, transform and structure raw football data into impactful, value driven insight., • Ensure data reliability, accuracy and availability across performance, recruitment and analytics teams., • Work closely with data scientists, analysts and football stakeholders to support insight generation., • Contribute to internal platform improvements, tooling and architectural decisions., • Support research and innovation projects by enabling access to new datasets, metrics and data products. Benefits (Beyond the game): • An impact from day one., • Direct involvement with football and the chance to apply data engineering to the real-world football calendar., • Creative freedom to experiment and innovate., • Supportive, collaborative culture that encourages learning and growth., • A vibrant team culture with a shared passion for the sport., • Access to the latest tools and technologies., • Competitive salary, plus an endless list of benefits.

Senior Web Scraping Engineer 📍 Remote | 🌍 International Team | 🕒 Full-time At WebAutomation, we help businesses unlock the power of public web data at scale. Our products and custom scraping solutions empower organizations to access accurate, structured, and reliable datasets. We are an international, remote-first team passionate about cutting-edge web scraping technologies and large-scale data automation. Role Overview We are looking for a Senior Web Scraping Engineer with strong expertise in Python and Node.js to lead complex data extraction projects. You will design scalable scrapers, overcome advanced anti-bot systems, and build robust pipelines that power our products. This role is ideal for someone who thrives on solving tough technical challenges, can effectively manage multiple projects in parallel, and quickly adapts to changing priorities in a fast-paced environment. Key Responsibilities • Build and maintain advanced scrapers using Python, Node.js, Scrapy, Puppeteer, Playwright, Selenium, • Optimize pipelines for scalability, efficiency, and minimal resource usage, • Debug, maintain, and enhance existing scraping systems under changing site structures, • Handle multiple scraping projects simultaneously while meeting deadlines and quality standards, • Adapt quickly to daily priority changes and shifting project requirements, • Collaborate with product and data teams to ensure accuracy and reliability, • Mentor junior engineers and contribute to best practices in large-scale scraping, • Proficiency in reverse engineering web applications using browser DevTools, network analysis, and debugging proxies (Charles, Burp Suite, mitmproxy), • Expertise in analyzing and extracting data from GraphQL endpoints, including introspection queries and schema discovery, • Experience with WebSocket reverse engineering for real-time data extraction, • Proficiency in analyzing API authentication flows (OAuth, JWT tokens, API key rotation, session management), • Knowledge of browser automation detection evasion (navigator properties, WebDriver detection, Chrome DevTools Protocol), • Experience bypassing CloudFlare, PerimeterX, DataDome and other anti-bot solutions, • Skills in analyzing and replicating complex request signatures and encryption mechanisms Must-Have Experience • 5+ years in web scraping, backend engineering, or data automation, • Expert in Python (asyncio, threading) and Node.js (async/await), • Hands-on with Scrapy, Puppeteer, Playwright, Selenium, • Strong debugging and problem-solving skills for complex scrapers, • Strong multi-tasking skills with the ability to prioritize work in a dynamic environment, • Database experience (SQL/NoSQL, Redis) and caching systems, • Fluent English (written & spoken) Nice to Have • Experience with Flask, Django, FastAPI, • Docker, Kubernetes, and CI/CD pipelines, • R&D or security research background, • Open-source contributions in scraping/data engineering What We Offer • Competitive salary based on expertise, • 100% remote & flexible work environment, • Opportunity to work on cutting-edge web & app scraping projects, • A collaborative international team that values innovation and autonomy, • Professional growth through challenging projects & mentorship 🚀 Ready to push the boundaries of web data extraction? Apply now and join us at WebAutomation to shape the future of large-scale web scraping.

Snr Software Engineering role • Paying between £80-100k, with a 10% bonus (performance related), • Remote but occasional offsites in LDN/worldwide A SaaS platform that provides businesses and researchers with high-quality, vetted human data for studies, surveys, and AI research are looking for 2 excellent Product Engineers. The stack is Python/JavaScript focused, but the crux of what they want are engineers who can build product from scratch, with a real understanding of how to optimize workflows. If you have a real focus on delivery and take full agency across the entire system, then this role would be perfect for you. A good example given is if you notice an issue in there stack, they want an engineer pragmatic and experienced enough to fix that problem, and engineers who are proactive problem solvers. This role is remote with occasional offsites, a brilliant benefits package and you will be working in a business acknowledged for being one of the best places in the UK for Engineers to learn and grow. Essential Skills: • Python, • JavaScript/Typescript. They use Vue.js but are open to any React.js engineers, • AWS/GCP, • MongoDB, • DynamoDB Nice to haves: • Experience building a product from scratch, • Kubernetes/Terraform experience, • Architecture background

Job Types: Full-time, Permanent Work Location: Remote (UK-based only) Salary: £50,000–£60,000 depending on experience About Us Asseticom is a dynamic software company specialising in asset management data capture solutions for the built environment. Our platform empowers global engineering consultancies, central government, and facilities management firms to optimise asset information through innovative technology, spatial data, and advanced analytics. Role Overview We’re seeking an experienced React Native Developer to join our growing team in the facilities management sector. You’ll develop and maintain features for our mobile application, enabling clients to capture asset data efficiently and reliably. Our stack includes TypeScript, Firebase, Expo, React Navigation, Reanimated and Vision Camera, alongside other high-quality React Native libraries. You’ll have opportunities to explore AI-driven enhancements and contribute to meaningful R&D projects that push the boundaries of spatial data solutions. This fully remote role offers a collaborative, flexible environment with occasional travel for company events. Join a supportive team that values technical excellence, innovation, and work-life balance, working alongside experienced engineers and industry leaders on cutting-edge projects. Note: This role is only open to UK residents with the right to work in the UK. Applications from outside the UK, outsourcing firms, or recruitment agencies will not be considered. Responsibilities Feature Development & Maintenance • Plan, design, and implement performant, user-friendly features using React Native and TypeScript., • Write and maintain unit, integration, and E2E tests to ensure code quality and reliability., • Collaborate with developers, designers, and stakeholders to iterate on features based on feedback. Technical Contributions • Leverage Firebase to build scalable and secure functionality., • Ensure compatibility and optimised performance across iOS and Android platforms., • Contribute to AI-driven feature development and R&D initiatives, exploring innovative use cases for spatial data. Team Collaboration & Growth • Participate in code reviews and engage in regular 1:1 mentorship., • Actively research ecosystem developments and advancements, sharing knowledge with others., • Contribute to team initiatives, with opportunities to take on leadership roles in feature development or cross-functional projects. Required Skills & Experience • At least 3 years of recent, continual experience with React Native in a professional software development environment., • Very strong communication skills. You must speak, write and be able to understand fluent English., • Deep knowledge and regular usage of Firebase suite, especially Firestore., • Strong proficiency in TypeScript and modern JavaScript (ES6+)., • Familiarity with Expo, React Navigation, Reanimated and Vision Camera., • Understanding of mobile app development best practices, including release automation and performance optimisation., • You must enjoy constantly learning and researching to improve your level of expertise. Nice to Have • Experience with native mobile development (Swift/Objective-C for iOS, Kotlin/Java for Android)., • A keen eye for design, accessibility and user experience best practices., • Accomplished in web development., • Experience with Sentry or similar application monitoring tools., • Computer Science or related technical degree., • Familiarity with 360 cameras or spatial data capture technologies. Assessment Process Selected candidates will undergo a two-stage interview process, including a short, take-home practical assessment. Benefits • 25 days annual leave + bank holidays., • Company pension with 3% employer contribution., • Private medical insurance, including mental health support and wellness resources., • Annual budget for professional development (e.g., certifications, conferences)., • Latest generation Apple Mac provided., • Regular company events (virtual and in-person)., • Flexible hours to support work-life balance. Schedule • Monday to Friday, with flexible hours to accommodate personal needs. Note: This is not an exhaustive list of responsibilities or qualifications. Skills will be assessed prior to an offer.

Location • Remote, but requirement to meet up once a month for in-person collaboration day, • UK based About Akixi Akixi is a leading provider of SaaS analytics solutions for cloud-based communication platforms, helping service providers and enterprises gain actionable insights from their telephony and collaboration data. Our solutions span Microsoft Teams, Cisco BroadWorks, Webex Calling, and CRM integrations — delivering real-time and historical analytics that improve customer experience and business performance. We are expanding our platform to include advanced AI capabilities — voice and chat assistants, intelligent analytics, and predictive insights — and are seeking an AI Engineer to define and deliver this vision. Job Summary & Purpose Own and drive Akixi’s AI and ML strategy — from concept and architecture through hands-on prototyping and deployment — to embed intelligence into Akixi’s products and analytics platforms. As the AI Engineer, you will define and execute Akixi’s AI roadmap, combining leadership of architecture and engineering practice with hands-on development of prototypes and production features. You’ll partner with Product, Data, and Platform Engineering to design and integrate AI-driven capabilities such as voice/chatbots, natural-language analytics, and predictive models. This role balances strategic technical direction with hands-on implementation, ensuring Akixi’s AI initiatives deliver tangible business and customer outcomes. Key Responsibilities • Lead the definition and delivery of Akixi’s AI strategy and technology roadmap., • Architect scalable AI solutions integrated into Akixi’s SaaS analytics platform., • Prototype, develop, and integrate AI-driven components such as chatbots, voice assistants, ML models, and LLM-based analytics., • Apply prompt engineering and model-tuning techniques to optimize chatbot and LLM behaviour., • Conduct research, proof-of-concepts, and feasibility studies for emerging AI technologies., • Collaborate with Product Management to scope AI features and align them with business goals., • Partner with Data Engineering to operationalize models, manage training data, and implement monitoring and retraining pipelines., • Work closely with Development, DevOps, and QA teams to ensure smooth CI/CD integration and deployment of AI components., • Establish standards for AI code quality, ethics, and data governance., • Mentor engineers working on AI-related projects, fostering technical excellence and innovation., • Evaluate external AI vendors, tools, and frameworks for adoption or integration., • Stay ahead of developments in AI/ML, LLMs, and applied analytics, translating trends into practical opportunities for Akixi. Required Skills & Experience • 4+ years in software engineering, with at least 3+ years focused on AI/ML or data-driven product development., • Proven expertise in developing and integrating AI solutions such as chatbots, voicebots, ML models, or LLM-based analytics., • Strong proficiency in Python (preferred) and/or JavaScript/TypeScript., • Hands-on experience with AI frameworks (TensorFlow, PyTorch, LangChain) and LLM APIs (Azure OpenAI, OpenAI API, Anthropic, AWS Bedrock)., • Experience with Microsoft Bot Framework, Dialogflow, or similar conversational-AI platforms., • Deep understanding of prompt engineering and fine-tuning of large language models., • Strong grounding in ML concepts — supervised, unsupervised, and reinforcement learning., • Familiarity with cloud AI/ML services (Azure Cognitive Services, AWS SageMaker, GCP Vertex AI)., • Experience deploying and monitoring AI workloads in CI/CD environments (Jenkins, Docker, Kubernetes, AWS)., • Ability to design data pipelines, APIs, and microservice integrations supporting AI features., • Excellent problem-solving, communication, and cross-team collaboration skills., • Proven ability to lead technically while remaining hands-on in design and coding. Desirable Skills & Experience • Experience with call/contact-centre analytics, Microsoft Teams Graph API, or telephony platforms (BroadWorks, Webex Calling)., • Knowledge of data governance, model ethics, and MLOps practices., • Exposure to data visualization and predictive analytics for customer-experience metrics., • Advanced degree in AI, ML, Data Science, or related discipline., • ISTQB AI Testing or equivalent certification. Why Akixi At Akixi, you’ll play a pivotal role in transforming how businesses understand and act on communication data. You’ll define and deliver the intelligence layer of a platform used by thousands worldwide — in an environment that values innovation, experimentation, and technical depth. We offer a collaborative culture, hybrid flexibility, and the opportunity to lead meaningful, high-impact AI initiatives from vision to production.

Applied AI Engineer Adema AI – Real Estate & Planning Intelligence 📍 London / Hybrid / Remote (UK & EU) About Adema AI Adema AI is one of the fastest-growing AI startups in the UK, with a rapidly expanding and active user base across development, planning, investment, and advisory. We are building a deep, AI-native intelligence platform for the built environment — combining LLMs, graph-based machine learning, spatial analytics, and planning data to power real-world decision-making. What you see live today is only part of the picture. Alongside the existing platform, we are building multiple advanced intelligence tools, including recommendation engines, spatial reasoning systems, planning-risk analysis, and decision automation — while refining and outperforming existing market tools, not replicating them. 👉 Platform overview: The Role We’re hiring an Applied AI Engineer to help scale Adema’s intelligence layer as adoption accelerates. This is a core technical role. You’ll be working on production AI systems already in use, while helping design and deploy the next generation of models, pipelines, and services that will define the platform. You’ll work directly with the founding and AI leadership team and have real influence over architecture, tooling, and technical direction. What You’ll Be Working On • Production MLOps pipelines for training, evaluation, and deployment, • LLM-powered workflows for planning, site intelligence, and decision support, • Graph-based ML models linking spatial, regulatory, demographic, and market data, • A growing recommendation engine and inference services (separate ML services, not monoliths), • Advanced geospatial intelligence: accessibility, constraints, clustering, and market gap analysis, • Microservice APIs (FastAPI or similar) connecting data, ML inference, and product, • Cloud-native AI infrastructure across Azure / GCP / AWS, • Continuous refinement of existing tools and replacement of legacy approaches with AI-first systems This is not a research-only role — everything you build is designed to ship and scale. What We’re Looking For Core Requirements • Strong Python experience across data engineering and machine learning, • Experience deploying ML models into production environments, • Hands-on experience with LLMs / applied NLP, • Strong SQL skills and experience with structured & semi-structured data, • Experience with FastAPI, REST APIs, and microservices, • Cloud experience (Azure, GCP, or AWS), • Familiarity with CI/CD and modern DevOps workflows Highly Desirable • Graph data, network analysis, or GNNs, • Spatial / geospatial data experience, • Containerisation (Docker / Podman) Equity & Upside • Warrants are available for the right candidate, • This role offers real upside, aligned with platform growth and adoption, • Early impact, genuine ownership, and exposure to product, commercial, and strategic decisions Why Join Adema AI • One of the fastest-growing AI startups in the UK, • Rapidly expanding real-world user base — your work is used immediately, • Build serious AI infrastructure, not slideware or demos, • Direct access to founders and decision-makers, • Solve complex, meaningful problems at the intersection of AI, planning, and real estate, • High-autonomy, high-trust engineering culture Who This Is For You’ll thrive here if you: • Want to build AI systems that ship and scale, • Enjoy working across data, ML, and infrastructure, • Care about architectural quality and long-term leverage, • Want upside, responsibility, and pace — not corporate drag

About Turing: Based in San Francisco, California, Turing is the world’s leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing supports customers in two ways: first, by accelerating frontier research with high-quality data, advanced training pipelines, plus top AI researchers who specialize in coding, reasoning, STEM, multilinguality, multimodality, and agents; and second, by applying that expertise to help enterprises transform AI from proof of concept into proprietary intelligence with systems that perform reliably, deliver measurable impact, and drive lasting results on the P&L. Job Overview: We are looking for a highly skilled Simulation Asset & Environment Specialist for an immediate project contract - initial duration will be 2 months with potential to extend beyond. This is a high-impact role bridging the gap between 3D art and Robotics Engineering. You will be responsible for transforming raw 3D models into fully functional, "simulation-ready" assets for NVIDIA Isaac Sim. This is not a pure modelling role; it requires a deep technical understanding of USD structures, physics properties (colliders, mass, friction), and Python scripting for automation. Key Responsibilities: • Asset Prep: Ingest 3D models (USD, FBX, OBJ) and configure them for perception tasks (semantic labelling) and physics interaction (collision geometry, articulation)., • Environment Assembly: Build and validate simulation scenes, ensuring performance optimization (LODs, proxy meshes) and physics determinism., • Pipeline & Logic: Use Python & OmniKit to write behaviour scripts and document the workflow for future scalability. Must-Have Qualifications: • NVIDIA Isaac Sim & Omniverse: Deep familiarity with the interface and toolset., • USD (Universal Scene Description): Strong understanding of layering, variants, and composition arcs., • Physics Simulation: Experience creating convex decomposition colliders, setting joint articulation, and tuning material properties., • Python Scripting: Ability to write scripts for Isaac Sim extensions or asset automation., • 3D DCC Tools: Proficiency in Blender, Maya, or Max for basic geometry adjustment. Contract Details: • Time Commitment: 20-40 hours per week, • Project Duration: Initially 2 months - extendable by mutual agreement, • Start Date: Immediate, • Location: Remote Note: As part of assessments you will go through an AI video interview. After applying, you will receive an email with a login link. Please use that link to access the portal and complete your profile. Know amazing talent? Refer them at ___, and earn money from your network.

Contract MLOps Engineer | MLflow | Databricks | Production ML Duration: Initially 3 months Day rate: £500 - £550, Inside IR35 Workplace: Remote, with occasional travel to client-site Inara are supporting a consultancy-led team delivering production-grade machine learning platforms for a range of end clients, and they’re looking for a senior, hands-on Contract MLOps Engineer to help take ML systems from experimentation into reliable, scalable production. This role is firmly focused on ML enablement and platform engineering rather than model research. You’ll be the person ensuring models can be trained, tracked, deployed, governed, and monitored properly in real-world environments. What you’ll be doing • Designing and building end-to-end MLOps platforms that support the full ML lifecycle, • Implementing and operating MLflow for experiment tracking, model registry, and versioning, • Enabling production deployments of ML models (batch and/or real-time), • Putting robust CI/CD pipelines in place for ML workflows, • Partnering closely with Data Scientists to move models from notebooks into production, • Establishing best practices around model governance, monitoring, retraining, and environments, • Integrating ML platforms with Databricks and cloud-native services What we’re looking for • Strong, real-world MLOps experience (this is not a theoretical role), • Deep hands-on MLflow experience — this is essential, • Proven track record of productionising ML models across multiple client or project environments, • Background in one or more of:, • MLOps / ML Engineering, • DevOps with ML platforms, • Data Science with a strong production focus, • Experience designing, supporting, and operating ML systems in production Technical environment (experience expected across most of these) • MLflow (expert-level), • Databricks, • Cloud platforms (AWS preferred; SageMaker exposure a bonus), • CI/CD for ML workloads, • Docker and Kubernetes, • Infrastructure as Code (Terraform or similar), • Python-based ML workflows

Principal Software Engineer .NET £90,000-£110,000 Remote (UK) Do you thrive on building scalable solutions that power commerce worldwide? We're partnering with a rapidly expanding global payment platform fresh off a transformative acquisition. They're engineering a robust, merchant-centric ecosystem built on quality, resilience, and scale - and they need exceptional .NET Software Engineers to drive this evolution. Your Impact: • Design and develop mission-critical platform services, APIs, and merchant portals, • Drive performance optimisation and system reliability through intelligent engineering, • Champion engineering excellence in architecture, code quality, and delivery, • Partner with cross-functional teams to deliver solutions that solve genuine business challenges Tech Stack: • Core: C#, .NET Core, • Architecture: Event-driven, microservices-oriented design, • Cloud: Azure (AWS experience valued), Infrastructure-as-Code, • Data: SQL, caching strategies, message brokers (RabbitMQ, etc.), • Frontend: HTML, CSS, JavaScript, • DevOps: CI/CD pipelines, Behaviour-Driven Development, modern agile methodologies What You Bring: • 10+ years of software engineering with proven architectural leadership - you shape technical strategy and navigate complex system design with confidence What's In It For You: • Fully remote across the UK & Ireland, • 45 days annual leave plus bank holidays, • Comprehensive private healthcare for you and your family, • Annual learning budget for courses and certifications, • Transparent career progression *Please note that this opportunity does not support visa sponsorship Disclaimer: Research indicates that men will apply to a role when they only meet 50-60% of the descriptions, however, when looking at women and other minority groups, they can look for up to a 99% match in order to apply to a role. If you feel you are a fit for our role, please still apply, don’t worry if you don’t tick every single box. We’d still love to hear from you. We encourage underrepresented talent to apply to all our roles & support accessibility needs.

Global University Systems is building a modern AI platform to power how our universities recruit, teach, support, and serve students. The Director of AI will lead this transformation, turning promising ideas into production-grade AI solutions that create real value for students and staff. This role owns the AI roadmap end-to-end: from identifying high-impact use cases, to running rapid experiments, to scaling successful solutions across multiple Higher Education Institutions. What you’ll do: Set vision and strategy • Own and continually refine the AI initiatives portfolio and roadmap for the group., • Run a structured intake process for new ideas, assessing value, feasibility, data readiness, ethical risk, and compliance., • Run time-boxed PoCs (2–8 weeks) and MVPs (8–16 weeks) using Agile methods (Scrum or Kanban) with regular demos and retrospectives., • Build and lead cross-functional squads including Product Owner, Data Scientists, ML Engineers, Integration Engineers, Solution Architect, and domain experts from Admissions, Registry and Student Services., • Design experiments, test hypotheses, and iterate quickly, ensuring human-in-the-loop for critical decisions such as admissions triage or student risk flagging., • Take validated MVPs into production with robust architecture, integration patterns, security controls, SLAs, and operational runbooks., • Establish MLOps across the university environment, including model registry, CI/CD for ML, feature stores, monitoring for drift, and retraining policies., • Build reusable AI platform capabilities (e.g., orchestration, RAG services, prompt safety, connectors) that support multiple domains such as:, • Recruitment & Admissions: enquiry triage, lead scoring, document extraction, and decision support., • Student Records & Registry: data quality checks, anomaly detection, and predictive alerts for progression and retention., • Timetabling & Operations: demand forecasting, optimization support, and conflict detection., • Teaching & Learning: content summarization, tutoring assistants, accessibility tools, and feedback synthesis respecting academic integrity., • Student Support & Wellbeing: intelligent case routing, early warning signals, and proactive nudges designed with strong ethics and safeguarding., • Research Administration: grant discovery, compliance support, and metadata enrichment., • Implement a practical AI governance framework that includes a use case register, risk scoring, impact assessments, model documentation, and audit trails., • Ensure compliance with GDPR, accessibility standards (e.g., WCAG), information security policies, and emerging AI regulations., • Partner with Deans, Registry, Admissions, Student Services, IT, Legal and other stakeholders to align on priorities and rollout plans., • Communicate progress through clear dashboards and storytelling, highlighting wins and lessons learned to build momentum., • Lead RFPs and SOWs for AI vendors, data providers, and implementation partners, including evaluation of cost, performance, and scalability., • Track and optimize cloud and AI platform spend, balancing cost with value; negotiate campus-wide licensing where beneficial. What you bring: Education • Bachelor’s or Master’s degree in Data Science, Computer Science, Business Analytics, or a related discipline. Knowledge and skills Essential • Product and outcome mindset: frames problems as hypotheses, focuses on measurable impact, and is willing to stop or pivot when evidence is weak., • Delivery excellence: strong Agile practices, risk-based planning, and disciplined stage-gates from idea to production., • Technical fluency: able to bridge data science, engineering, security, and business stakeholders, and make informed technical decisions., • Responsible AI and data literacy: understands and embeds ethics, privacy, and accessibility by design., • Experience with major cloud and AI stacks such as Azure OpenAI / OpenAI, Azure ML, Databricks, Kubernetes, and Docker., • Familiarity with data platforms such as Azure Data Lake, Synapse/ADF, Delta Lake, and messaging platforms (e.g., event hubs, service bus)., • Exposure to MLOps and observability tools (e.g., MLflow/model registry, GitHub Actions, Prometheus/Grafana, Evidently AI)., • Knowledge of integrating with SIS (Banner/Workday Student), LMS (Moodle/Canvas), CRM (Salesforce), ERP (Oracle/Workday), and IdP (Azure AD)., • Comfort with collaboration and reporting tools such as Jira/Azure Boards, Confluence, and Power BI. Experience Essential • 6+ years in IT delivery, product, or program leadership roles, including at least 3 years leading AI/ML or advanced analytics initiatives end-to-end., • Proven track record running Agile PoCs and MVPs and scaling them into production within complex organizations., • Strong understanding of AI/ML techniques (e.g., classification, NLP, GenAI, RAG, prompt engineering), data pipelines, APIs, and microservices., • Hands-on experience with cloud platforms (Azure preferred; AWS or GCP also valued) and MLOps tools (e.g., MLflow, Azure ML, Databricks, SageMaker or Vertex) plus observability practices., • Familiarity with higher education processes and integrations across SIS, LMS, CRM, and ERP environments., • Knowledge of data privacy, accessibility, security, and Responsible AI in academic or similarly regulated contexts., • Experience designing or operating an AI platform or shared AI services used across multiple domains or business units., • Hands-on work with vector databases and retrieval pipelines (e.g., Azure AI Search, Pinecone) and guardrails for GenAI., • Background in enterprise architecture and integration patterns (event-driven, REST, GraphQL)., • Relevant certifications such as Agile/Scrum (PSM/CSM), Azure AI Engineer/DP-100, PMI-ACP/SAFe, or security/privacy certifications. If you are excited by the opportunity to shape the future of AI in higher education and deliver impact at scale, we encourage you to apply and join us on this journey.

Senior Backend Engineer – High-Scale Systems | Python & FastAPI | Security SaaS • Salary: £75k - £85k plus bonus, • Location: Fully remote, (UK-based), • Sponsorship is not available for this role Prism Digital have partnered with a super interesting and niche VC-backed client specialising in attack surface management and automated red teaming. Their platform provides organisations with real-time visibility into their attack surface and potential exploitable vulnerabilities. They have received numerous awards for being an up-and-coming security SaaS product company and show no signs of slowing down their growth. They've completed Series A funding, raising $29 million across three funding rounds, and are now seeking a Senior Backend Engineer. This role acts as the intersection between two teams - frontend software team and the security research team. You will be responsible for the entirety of the back end features of the products. You will be in charge of building scalable backend services and awesome messaging queues. You will be responsible for developing a Python-based back end platform that's handling 100,000+s of interactions daily. So the ideal candidate will come from a background of working with applications that are processing large amounts of data, transactions or instances daily. Key Requirements: • Python, • Previously worked at a start up / smaller sized company, • 5 years+ experience, • Ability to build software which scales, • Building messaging queues e.g., Kafka (nice to have) This is entirely a Python back-end development role (Python 3), where the core framework used is FastAPI and Kafka for the messaging queues. The data sits in PostreSQL and MongoDB. Benefits • Up to £85,000, • Fully remote, • 28-day holidays (including bank holidays), • Shares options, • Private health insurance via Bupa, • Competitive pension, • Salary reviews every 12 months This role does not accept applicants outside of the UK, nor does it offer sponsorship Senior Backend Engineer | Python, FastAPI & Scaling | Security SaaS • Seniority Level, • Mid-Senior level, • Industry, • Technology, Information and Media, • IT Services and IT Consulting, • Computer and Network Security, • Employment Type, • Full-time, • Job Functions, • Engineering, • Skills, • Back-End Web Development, • Scalability, • Distributed Systems, • Python (Programming Lang Senior Backend Engineer – High-Scale Systems | Python & FastAPI | Security SaaS

Senior Backend Engineer – High-Scale Systems | Python & FastAPI | Security SaaS • Salary: £75k - £85k plus bonus, • Location: Fully remote, (UK-based), • Sponsorship is not available for this role Prism Digital have partnered with a super interesting and niche VC-backed client specialising in attack surface management and automated red teaming. Their platform provides organisations with real-time visibility into their attack surface and potential exploitable vulnerabilities. They have received numerous awards for being an up-and-coming security SaaS product company and show no signs of slowing down their growth. They've completed Series A funding, raising $29 million across three funding rounds, and are now seeking a Senior Backend Engineer. This role acts as the intersection between two teams - frontend software team and the security research team. You will be responsible for the entirety of the back end features of the products. You will be in charge of building scalable backend services and awesome messaging queues. You will be responsible for developing a Python-based back end platform that's handling 100,000+s of interactions daily. So the ideal candidate will come from a background of working with applications that are processing large amounts of data, transactions or instances daily. Key Requirements: • Python, • Previously worked at a start up / smaller sized company, • 5 years+ experience, • Ability to build software which scales, • Building messaging queues e.g., Kafka (nice to have) This is entirely a Python back-end development role (Python 3), where the core framework used is FastAPI and Kafka for the messaging queues. The data sits in PostreSQL and MongoDB. Benefits • Up to £85,000, • Fully remote, • 28-day holidays (including bank holidays), • Shares options, • Private health insurance via Bupa, • Competitive pension, • Salary reviews every 12 months This role does not accept applicants outside of the UK, nor does it offer sponsorship Senior Backend Engineer | Python, FastAPI & Scaling | Security SaaS • Seniority Level, • Mid-Senior level, • Industry, • Technology, Information and Media, • IT Services and IT Consulting, • Computer and Network Security, • Employment Type, • Full-time, • Job Functions, • Engineering, • Skills, • Back-End Web Development, • Scalability, • Distributed Systems, • Python (Programming Lang Senior Backend Engineer – High-Scale Systems | Python & FastAPI | Security SaaS

Machine Learning Research Engineer - LLM post-training/mid-training Our team is partnered with a materials discovery stealth venture based in San Francisco and London, led by former Oxford and Isomorphic Labs leaders in AI and experimental science. The team is pioneering large-scale language models that reason, adapt, and accelerate discovery workflows. They are combining experimental validation, synthetic data generation, and scalable infrastructure to push the boundaries of autonomous research. This is a rare chance to be part of the founding team, shaping technical direction and building systems that redefine how science is done. The Role • You will design and implement novel approaches for model adaptation and reasoning, exploring techniques that improve generalization, controllability, and scientific understanding., • This includes mid-training strategies, post-training alignment, and inference-time optimization for complex workflows., • You'll also develop new reasoning paradigms such as retrieval-augmented and tool-augmented approaches and build robust evaluation frameworks for applied scientific contexts. Qualifications: • PhD. or equivalent experience in Computer Science, Machine Learning, or a closely related discipline, • Practical experience working with LLM training pipelines, including pre-training, mid-training, or post-training stages, • Strong grasp of transformer architectures, optimization techniques, and representation learning principles, • Proficiency in Python and familiarity with major ML frameworks such as PyTorch, DeepSpeed, or JAX, • Knowledge of alignment and reasoning strategies, including in-context learning, chain-of-thought, tool integration, or retrieval-augmented approaches, • Ability to combine innovative research thinking with pragmatic engineering to deliver scalable, high-performance systems

We are looking for an experienced Senior Machine Learning Engineer to lead the design and production integration of ML into an established live trading system and drive its next phase of development. Building on our early ML research and prototypes, you will design, build, deploy, and operate production ML components that integrate directly with a real-time execution engine – improving decision-making and execution quality with measurable financial impact. This is an excellent opportunity for someone who enjoys autonomy, technical responsibility, and building production-grade ML systems where reliability, latency, and real-world feedback loops matter. What You’ll Do • Lead the design and production integration of ML components into a live, Python-based trading system, • Take early ML research/prototypes and turn them into reliable production models and services, • Build robust training and evaluation pipelines with safeguards against leakage, non-stationarity, and drift, • Develop real-time inference components with clear fail-safes, fallbacks, and graceful degradation, • Create monitoring and observability for production ML (model performance, drift detection, alerts, rollback plans), • Work with high-frequency market data: missing data, late arrivals, outliers, regime shifts, and noisy signals, • Collaborate directly with the Head Trader to translate strategy goals into ML objectives and measurable outcomes, • Partner closely with software engineers on integration, deployment, performance, and operational reliability, • Troubleshoot and resolve production issues quickly during key market hours when needed Essential Skills • Strong Python developer (min. 5+ years professional Python experience), • Demonstrable experience taking ML models from prototype to production (deployment, monitoring, and ongoing operation), • Strong understanding of validation pitfalls (e.g., leakage), time-series/non-stationary dynamics, and model drift, • Experience building end-to-end ML workflows: data ingestion/cleaning, feature engineering, training pipelines, model serving/inference, • Ability to design for reliability: monitoring, alerting, safe deployment, rollback strategies, and incident response, • Comfortable owning and improving an evolving codebase: refactors, architecture improvements, reproducibility, and clean tests, • Strong engineering discipline: correctness, edge cases, careful time-handling, attention to detail, • Comfortable working independently, making architectural decisions, and maintaining high code quality, • UK-based and available for support during core market hours when needed Desirable Skills • Experience with real-time/low-latency systems (streaming data, telemetry, market data, etc.), • Familiarity with production ML monitoring/observability practices and tooling, • Experience with cloud deployment environments (VMs/containers, monitoring, CI/CD), • Background in financial markets, algorithmic trading, or market microstructure (helpful, not required), • Experience with distributed systems, message queues, or event-driven architectures What We Offer • Competitive salary – negotiable based on experience, • Mostly remote, with some in-office collaboration days for coordination and planning, • Yearly bonus based on company performance, • The chance to take significant ownership of production Machine Learning in a live system, • Long-term role with the opportunity to influence the Machine Learning roadmap and system design, • A lean environment with minimal bureaucracy and direct impact

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