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Amazon is looking for an AI Content Expert II to help with annotations, content generation, and data analysis. As part of the Data Team, you will be responsible for delivering high-quality training data to improve and expand Large Language Models' (LLMs) capabilities. Key job responsibilities • Creating and annotating high-quality complex training data in multiple modalities (text, image, video) on various topics, including technical or science-related content, • Writing grammatically correct texts in different styles with various degrees of creativity, strictly adhering to provided guidelines, • Performing audits and quality checks of tasks completed by other specialists, if required, • Making sound judgments and logical decisions when faced with ambiguous or incomplete information while performing tasks, • Diving deep into issues and implementing solutions independently, • Identifying and reporting tooling bugs and suggesting improvements A day in the life As an AI Content Expert, you will be responsible for creating training data that are complex in nature and will require you to make informed and high judgement decisions in each case. You will be working closely with scientists and engineers to review and update guidelines, identify tooling improvement opportunities, and engage in conversations regarding the quality of data. About the team The team works strictly in the office Monday through Friday with an eight-hour shift. We are constantly looking for ways to improve our capabilities and deliver the best product possible. Diverse team, regular meetings, trainings, and Amazon events throughout the year await you. • High-School or equivalent diploma., • Proven experience working with written language data, including experience with annotation, and other forms of data markup., • Strong proficiency in English. Candidate must demonstrate excellent writing, reading, and comprehension skills (C1+ level in the Common European Framework CEFR scale)., • Strong understanding of U.S.-based culture, society, and norms., • Strong research skills to gather relevant information, understand complex topics, and synthesize multiple resources; understanding of basic academic integrity, i.e. plagiarism., • Excellent attention to details and ability to focus for a long period of time, • Comfortable with high-school level STEM, • Ability to effectively write and evaluate diverse subject matter across various domains, • Ability to adapt writing style to suit various style guidelines and customers., • Ability to adapt well to fast-paced environments with changing circumstances, direction, and strategy, • Bachelor’s degree in a relevant field or equivalent professional experience, • Experience with creating complex data for Large Language Model (LLM) training and evaluation, • Proven experience working with command line interfaces and basic UNIX commands, • Familiarity with common markup languages such as HTML, XML, Markdown, • Familiarity with common standard text formats such as JSON, CSV, RTF, • Working knowledge of Python or another scripting language, • Familiarity with regular expressions syntax, • Familiarity with Large Language Models, • Comfort in annotation work that may include sensitive content Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice (___) to know more about how we collect, use and transfer the personal data of our candidates. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit ___ for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

Amazon is looking for an AI Content Expert II to help with annotations, content generation, and data analysis. As part of the Data Team, you will be responsible for delivering high-quality training data to improve and expand Large Language Models' (LLMs) capabilities. Key job responsibilities • Creating and annotating high-quality complex training data in multiple modalities (text, image, video) on various topics, including technical or science-related content, • Writing grammatically correct texts in different styles with various degrees of creativity, strictly adhering to provided guidelines, • Performing audits and quality checks of tasks completed by other specialists, if required, • Making sound judgments and logical decisions when faced with ambiguous or incomplete information while performing tasks, • Diving deep into issues and implementing solutions independently, • Identifying and reporting tooling bugs and suggesting improvements A day in the life As an AI Content Expert, you will be responsible for creating training data that are complex in nature and will require you to make informed and high judgement decisions in each case. You will be working closely with scientists and engineers to review and update guidelines, identify tooling improvement opportunities, and engage in conversations regarding the quality of data. About the team The team works strictly in the office Monday through Friday with an eight-hour shift. We are constantly looking for ways to improve our capabilities and deliver the best product possible. Diverse team, regular meetings, trainings, and Amazon events throughout the year await you. Contract Type: Fixed term contract • High-School or equivalent diploma., • Proven experience working with written language data, including experience with annotation, and other forms of data markup., • CEFR C1 or equivalent fluency in German language, • Written and spoken knowledge of English is essential (CEFR C1), • Strong understanding of U.S.-based culture, society, and norms., • Strong research skills to gather relevant information, understand complex topics, and synthesize multiple resources; understanding of basic academic integrity, i.e. plagiarism., • Excellent attention to details and ability to focus for a long period of time, • Comfortable with high-school level STEM, • Ability to effectively write and evaluate diverse subject matter across various domains, • Ability to adapt writing style to suit various style guidelines and customers., • Ability to adapt well to fast-paced environments with changing circumstances, direction, and strategy, • Bachelor’s degree in a relevant field or equivalent professional experience, • Experience with creating complex data for LLM training and evaluation, • Proven experience working with command line interfaces and basic UNIX commands, • Familiarity with common markup languages such as HTML, XML, Markdown, • Familiarity with common standard text formats such as JSON, CSV, RTF, • Working knowledge of Python or another scripting language, • Familiarity with regular expressions syntax, • Familiarity with Large Language Models, • Comfort in annotation work that may include sensitive content Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice (___) to know more about how we collect, use and transfer the personal data of our candidates. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit ___ for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

Senior Software Engineer | Python, AI-Driven Products | £70,000–£90,000 | Hybrid - Cambridge Salary: £70,000 - £90,000 (DOE) Location: Cambridge (2x a week on-site) Are you a Python engineer who thrives at the intersection of software and intelligence - where scalable systems meet real-world AI? This Cambridge-based team is building products that make complex, data-driven decisions seamless. Their work bridges the gap between cutting-edge machine learning and production-ready software used by global customers across sustainability, healthcare, and advanced engineering. You’ll join a collaborative engineering group that blends software craftsmanship with deep technical curiosity. They’re not building research prototypes - they’re shipping reliable, high-performance systems that make AI genuinely usable outside of the lab. What you’ll be doing: • Designing and building robust backend systems in Python using frameworks such as FastAPI, Django, or Flask, • Developing RESTful APIs and microservices that integrate seamlessly with machine learning models and data pipelines, • Implementing data processing and automation workflows, connecting real-world systems to intelligent decision layers, • Working closely with AI/ML engineers to deploy and scale models in production environments, • Contributing to architecture and design discussions, helping shape the technical direction of new products, • Building and maintaining CI/CD pipelines, automated testing suites, and infrastructure-as-code setups (Docker, Kubernetes, Terraform), • Monitoring system performance and continuously improving scalability, reliability, and observability, • Collaborating cross-functionally with product and research teams to bring new AI features to life You’ll bring: • Strong commercial experience developing production-grade systems in Python with proven experience at Senior level, • Experience with cloud platforms (AWS, Azure, or GCP) and containerisation (Docker, Kubernetes), • Exposure to ML model integration, APIs, or data-driven systems (you don’t need to be a Data Scientist), • A problem-solving mindset and passion for building software that drives impact Why join: • Salary between £70,000–£90,000, depending on experience, • Hybrid working – typically 2 days per week onsite in Cambridge, • Ownership and influence across architecture, tooling, and best practice, • A culture that values learning, collaboration, and purposeful technology, • Competitive holiday & wider benefits package Interested in joining a team building meaningful, high-impact AI products? Get in touch at or call 07378 549703 for a confidential chat. Senior Software Engineer | Python, AI-Driven Products | £70,000–£90,000 | Hybrid - Cambridge

Amazon is looking for an AI Content Expert II to help with annotations, content generation, and data analysis. As part of the Data Team, you will be responsible for delivering high-quality training data to improve and expand Large Language Models' (LLMs) capabilities. Key job responsibilities • Creating and annotating high-quality complex training data in multiple modalities (text, image, video) on various topics, including technical or science-related content, • Writing grammatically correct texts in different styles with various degrees of creativity, strictly adhering to provided guidelines, • Performing audits and quality checks of tasks completed by other specialists, if required, • Making sound judgments and logical decisions when faced with ambiguous or incomplete information while performing tasks, • Diving deep into issues and implementing solutions independently, • Identifying and reporting tooling bugs and suggesting improvements A day in the life As an AI Content Expert, you will be responsible for creating training data that are complex in nature and will require you to make informed and high judgement decisions in each case. You will be working closely with scientists and engineers to review and update guidelines, identify tooling improvement opportunities, and engage in conversations regarding the quality of data. About the team The team works strictly in the office Monday through Friday with an eight-hour shift. We are constantly looking for ways to improve our capabilities and deliver the best product possible. Diverse team, regular meetings, trainings, and Amazon events throughout the year await you. Contract Type: Fixed term contract BASIC QUALIFICATIONS- High-School or equivalent diploma. • Proven experience working with written language data, including experience with annotation, and other forms of data markup., • Strong proficiency in English. Candidate must demonstrate excellent writing, reading, and comprehension skills (C1 level in the Common European Framework CEFR scale)., • Strong understanding of U.S.-based culture, society, and norms., • Strong research skills to gather relevant information, understand complex topics, and synthesize multiple resources; understanding of basic academic integrity, i.e. plagiarism., • Excellent attention to details and ability to focus for a long period of time, • Comfortable with high-school level STEM, • Ability to effectively write and evaluate diverse subject matter across various domains, • Ability to adapt writing style to suit various style guidelines and customers., • Experience with creating complex data for LLM training and evaluation, • Proven experience working with command line interfaces and basic UNIX commands, • Familiarity with common markup languages such as HTML, XML, Markdown, • Familiarity with common standard text formats such as JSON, CSV, RTF, • Working knowledge of Python or another scripting language, • Familiarity with regular expressions syntax, • Familiarity with Large Language Models, • Comfort in annotation work that may include sensitive content Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice () to know more about how we collect, use and transfer the personal data of our candidates. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

About the Company: An internationally recognised business, committed to developing a diverse range of livestock nutrition products aimed at enhancing productivity. Investing heavily in research and development, this business is at the forefront of cutting-edge advances in the sector, actively responding to the needs of farmers. About the Role: Drive global growth and shape impactful campaigns to strengthen a trusted brand worldwide. As a Global Product Marketing Manager, you will drive the strategic direction and growth of a leading livestock nutrition portfolio across international markets. This role demands strategic vision, commercial acumen, and marketing expertise, requiring an innovative, analytical professional who can interpret global market trends, manage multiple projects, and collaborate effectively across teams and regions. The ideal candidate will have a strong background in product or brand management, a proven track record of delivering product growth, and a sharp commercial mindset. With experience in international markets, you will thrive in this vibrant and dynamic environment, embracing daily challenges and responding decisively to evolving business needs. This office-based role, located at our client’s offices in the East of England, offers the potential for hybrid working for the right candidate, along with exciting opportunities to travel to key markets across the UK, USA, and Europe. If you are motivated by business impact and growth, this is a fantastic opportunity to help shape the future of a global, industry-leading portfolio. Responsibilities: • To drive market insight by analysing competitors and market trends to uncover growth opportunities and understand customer drivers, focusing on performance and sustainability., • To develop and deliver consistent messaging, engaging marketing campaigns, and supporting resources that build distributor confidence, drive customer demand, and reinforce the brand strength., • To provide commercial and customer support by equipping sales teams and key B2B customers with effective tools, training, and relationship management across international markets., • To monitor marketing and product performance, analysing ROI, and refine strategies to maximise impact while embedding sustainability throughout. Qualifications: • Proven experience in product or brand management (within the agriculture or animal nutrition sectors)., • Experienced in working in international markets., • Excellent verbal and written communication skills., • An understanding of sustainability challenges in agriculture., • Highly organised, able to manage multiple priorities and projects effectively., • Experienced in analysing market data and translating insights into actionable strategies., • A collaborative team player able to communicate information effectively to diverse audiences., • A strategic thinker who is passionate and customer-focused., • Excellent commercial and marketing acumen., • Excellent IT skills., • Driving licence and willingness to travel internationally when required. Required Skills: • Proven experience in product or brand management (within the agriculture or animal nutrition sectors)., • Experienced in working in international markets., • Excellent verbal and written communication skills., • An understanding of sustainability challenges in agriculture., • Highly organised, able to manage multiple priorities and projects effectively., • Experienced in analysing market data and translating insights into actionable strategies., • A collaborative team player able to communicate information effectively to diverse audiences., • A strategic thinker who is passionate and customer-focused., • Excellent commercial and marketing acumen., • Excellent IT skills., • Driving licence and willingness to travel internationally when required. Preferred Skills: • A degree in marketing, business, animal science, or a related field. Pay range and compensation package: A competitive salary and comprehensive benefits package including a bonus scheme and car allowance. Equal Opportunity Statement: We are committed to diversity and inclusivity in our hiring practices. Are you interested? If you are interested in this role and would like to know more about it, please contact Becky on the details below. Sector: Feed & Nutrition Role: Global Product Marketing Manager Location: East of England Job Ref: CR 2424 Contact: Becky Erskine 07851 629830

Senior Software Engineer | Python, AI-Driven Products | £70,000–£90,000 | Hybrid - Cambridge Salary: £70,000 - £90,000 (DOE) Location: Cambridge (2x a week on-site) Are you a Python engineer who thrives at the intersection of software and intelligence - where scalable systems meet real-world AI? This Cambridge-based team is building products that make complex, data-driven decisions seamless. Their work bridges the gap between cutting-edge machine learning and production-ready software used by global customers across sustainability, healthcare, and advanced engineering. You’ll join a collaborative engineering group that blends software craftsmanship with deep technical curiosity. They’re not building research prototypes - they’re shipping reliable, high-performance systems that make AI genuinely usable outside of the lab. What you’ll be doing: • Designing and building robust backend systems in Python using frameworks such as FastAPI, Django, or Flask, • Developing RESTful APIs and microservices that integrate seamlessly with machine learning models and data pipelines, • Implementing data processing and automation workflows, connecting real-world systems to intelligent decision layers, • Working closely with AI/ML engineers to deploy and scale models in production environments, • Contributing to architecture and design discussions, helping shape the technical direction of new products, • Building and maintaining CI/CD pipelines, automated testing suites, and infrastructure-as-code setups (Docker, Kubernetes, Terraform), • Monitoring system performance and continuously improving scalability, reliability, and observability, • Collaborating cross-functionally with product and research teams to bring new AI features to life You’ll bring: • Strong commercial experience developing production-grade systems in Python with proven experience at Senior level, • Experience with cloud platforms (AWS, Azure, or GCP) and containerisation (Docker, Kubernetes), • Exposure to ML model integration, APIs, or data-driven systems (you don’t need to be a Data Scientist), • A problem-solving mindset and passion for building software that drives impact Why join: • Salary between £70,000–£90,000, depending on experience, • Hybrid working – typically 2 days per week onsite in Cambridge, • Ownership and influence across architecture, tooling, and best practice, • A culture that values learning, collaboration, and purposeful technology, • Competitive holiday & wider benefits package Interested in joining a team building meaningful, high-impact AI products? Get in touch at or call 07378 549703 for a confidential chat. Senior Software Engineer | Python, AI-Driven Products | £70,000–£90,000 | Hybrid - Cambridge

About the Company We are hiring on behalf of a leading global technology company at the forefront of semiconductors, AI, and next-generation operating systems. They are pioneering cutting-edge innovations in computing and are seeking exceptional talent to join their team. Your Role: You will play a crucial role in optimizing the performance of a new mobile operating systems. Your responsibilities include: • Performance Optimization: Leverage your extensive experience to enhance system architecture, boost performance, and ensure efficient power consumption and heat management., • System Expertise: Apply your deep understanding of mobile operating system principles to innovate and drive system improvements., • Cutting-edge Innovation: Collaborate with top-tier teams to push the boundaries of mobile OS performance. Main Responsibilities : Enhancing Operating System Performance: • Conduct in-depth research on runtime resource management and control policies., • Investigate kernel task scheduling and SOC frequency modulation mechanisms., • Analyze and collaborate between software/hardware co-design., • Identify and address Operating system performance bottlenecks., • Build the competitiveness of key technologies in OS applications., • Improve application interaction and dynamic user experience., • Design and optimize high-performance core modules., • Solve key technical problems in application architecture., • Gain insights into industry trends and research OS application technologies., • Develop high-performance APIs and development paradigms for OS applications., • Plan technical roadmaps and set performance standards., • Develop performance evaluation systems and infrastructure., • Enhance key technical capabilities in the performance domain., • Build extensive expertise in the performance domain. Requirements: • Master's degree in a field relevant to computer systems, including but not limited to Computer Science, Computer Engineering, and Electrical Engineering., • Understanding of data structures and algorithms., • Proficiency in one or more programming languages (e.g., JAVA, C++, Python, JS, HTML, JavaScript, GO), • Experience in developing mobile application software, Internet software or iOS/Android operating systems, • Familiarity with front-end development technologies including but not limited to JavaScript frameworks (e.g., React, Angular, Vue.js), HTML5, and CSS.", HTML5, CSS, • Knowledge of operating system principles and experience in system architecture, performance, and power consumption optimization., • Experience in publishing academic papers in related fields., • Experience in publishing papers in international conferences or journals.

We have 1 position open in the broad areas of Machine Learning and Computer Vision with a focus on Vision and Language. The positions are part of the Future Interaction Research Programme. Our topics of interest include but are not limited to: • Contrastively-trained and auto-regressive Vision & Language (e.g. CLIP, BLIP)., • Visual LLMs (e.g. LLaVA)., • Generative Models (e.g. Stable Diffusion and Auto-Regressive models)., • Efficient Architectures., • Model Compression (distillation, quantization)., • Efficient Adaptation of Large Models. Key Responsibilities: • Conduct hands-on innovative research, including methodological conceptualization and implementation., • Publishing at top venues: CVPR, ECCV, ICCV, ICLR, NeurIPS, ICML, EMNLP, ACL, TPAMI and IJCV., • Contribute to the research agenda and directions within the center., • Interact with product and engineering teams for the purpose of technology transfer. Skills and Qualifications Key Skills Required: • Research experience in the fields of Computer Vision and/or Machine Learning., • Familiarity with fast prototyping Deep Learning frameworks such as PyTorch., • A track record of publishing at top-tier venues (e.g. CVPR, ECCV, ICCV, ICLR, NeurIPS, EMNLP, ACL, ICML, TPAMI and IJCV)., • Ability to communicate well and to collaborate with other group members.

Machine Learning Engineer – On-Device Health Monitoring Cambridge (1 day a week) Up to £80,000 + Equity + Benefits About the Role We’re working with a pioneering health-tech start-up that’s transforming the way we measure human health through sound. Their mission is to create the world’s leading foundation model for turning sound into health insights — enabling preventative health monitoring through devices people already own. They’re now looking for a Machine Learning Engineer to build and optimise on-device ML models for health and biosignal monitoring, helping take their technology from proof of concept to a production-ready product. You’ll be at the forefront of developing models that run efficiently on constrained devices, working closely with the CTO on design, optimisation, and deployment. This is a hands-on technical role that offers full exposure to the early-stage startup experience — from prototyping and experimentation to strategic product decisions. Key Responsibilities • Develop, optimise, and deploy machine learning models for on-device health monitoring., • Experiment with architectures and apply techniques such as quantisation, pruning, and compression to improve efficiency., • Collaborate with cross-functional teams to take research prototypes into production-ready systems., • Contribute to broader technical and product discussions, including data collection, validation, and feature development., • Take ownership of projects, working autonomously while supporting the wider engineering team. What We’re Looking For • Ph.D. or Master’s degree in Computer Science, Machine Learning, Information or Biomedical Engineering (or similar)., • Strong experience with deep learning frameworks (PyTorch/TensorFlow) and Python development., • Proven background in on-device ML (TinyML) using frameworks such as TensorFlow Lite, ExecuTorch, or TVM., • Solid understanding of model optimisation for constrained hardware environments., • Ability to write clean, maintainable, and well-tested code in a collaborative setting., • Curiosity, adaptability, and enthusiasm for working in a fast-paced, early-stage environment., • Experience working with time-series data such as audio or biosignals., • Background in biomedical or signal processing., • Experience writing production-level code or integrating models with embedded systems., • Previous startup experience or exposure to medical device development.

Stax Deeptech Talent has been exclusively retained by a highly innovative, well-funded deep-tech company poised to revolutionise the battery sector with its next-generation technology. We are seeking a proven, dynamic Vice President of Engineering & Operations to join the Leadership Team and spearhead the critical scale-up phase. This is a pivotal, C-suite-adjacent role, responsible for transforming a core, breakthrough battery technology from lab-scale validation into robust pilot production and eventual commercial manufacturing. The successful candidate will be instrumental in shaping the client’s technical and operational strategy, securing its readiness for high-volume market entry. The Mandate: Driving Scale and Operational Excellence This leader will combine deep technical mastery in battery development and manufacturing with an elite operational mindset. You will be tasked with leading all engineering functions, overseeing critical cell development, accelerating process scale-up, and establishing the foundational, world-class operational systems necessary to deliver this next-generation battery product. Key Areas of Accountability: Technical & Industrialisation Leadership: • Define and execute the comprehensive engineering and operational roadmap, effectively bridging R&D breakthroughs with manufacturable, scalable processes., • Lead the entire process of development, optimisation, and industrialisation of the core lithium-sulfur battery technology., • Provide expert technical direction across cell design, advanced materials processing, manufacturing methodologies, and overall product engineering. Team Build-Out & Organisational Strategy: • Recruit, build, and lead a high-performing, multidisciplinary engineering and operations organisation covering process development, production, quality assurance, and supply chain., • Instill a culture defined by technical rigor, continuous improvement, and cross-functional excellence., • Mentor key technical leaders and ensure all operational efforts are tightly aligned with strategic commercial milestones. Operational Scale-Up & Infrastructure: • Establish initial pilot production capabilities and foundational operational infrastructure, collaborating intensely with R&D and strategic external partners., • Develop and implement best-in-class manufacturing, quality management, and safety systems appropriate for a high-growth deep-tech organisation., • Manage strategic supplier and vendor relationships, contributing expertise to key decisions regarding vertical integration and outsourcing models., • Strategic Leadership & External Representation:, • Partner closely with the CEO and Board to define long-term company strategy and strategic priorities., • Represent the organisation in high-value strategic partnerships with customers, key suppliers, and external research collaborators., • Act as a core member of the leadership team, supporting critical fundraising activities, investor engagement, and high-stakes communications. Candidate Profile: What We're Searching For We are seeking candidates who demonstrate a distinguished career in advanced technology scale-up. Qualifications & Experience: • Significant executive leadership experience within the battery technology, advanced materials, or complex high-tech manufacturing industries., • Deep, demonstrable technical fluency in battery technologies and electrochemical systems., • Proven track record of successfully taking complex battery or advanced materials technologies from the laboratory research stage through to industrial pilot production and commercial scale., • Strong foundational background in engineering or high-volume manufacturing disciplines., • Exceptional communication and presentation skills, with the ability to articulate complex technical and operational strategies to diverse audiences, including investors, commercial partners, and customers.

Location – This is an office-based role at Unit 7, Cambridge Technopark, Newmarket Road, Cambridge, CB5 8PB About Us PLX is a fast-growing technology scale-up company based in Cambridge, UK. Our novel solutions are able to measure the strength of materials in a way that is 80x faster and 90% cheaper than traditional methods. We are backed by top-tier strategic investors, and our tech is now used by leading institutions and industry heavyweights such as Airbus, NASA, Renishaw, MIT, and WPI. At PLX, we serve a remarkably diverse customer base. Our technologies empower cutting-edge research initiatives, support modern, hands-on teaching programs at world-leading universities and research institutes, and enable market-leading industrial users across the globe. As a company, we believe in a culture of transparency, collaboration, integrity, and taking action, and we are looking to grow our team with people who share these values. About The Role As a Product Development Engineer, you will be responsible for the design, specification, and implementation of new and existing electromechanical devices. You’ll collaborate with cross-functional teams to develop innovative hardware products, enhance existing designs, and ensure manufacturability, quality, and safety. This role involves the full product development lifecycle, from concept and design through testing, validation, and preparation for manufacture. You’ll apply your engineering expertise to solve practical challenges, identify opportunities for improvement, and ensure our products meet technical and customer requirements. You should have a practical, flexible, and self-motivated approach to your work, and feel comfortable operating in a dynamic, fast-paced start-up environment. Key Responsibilities • Create and develop parts, assemblies, and systems using CAD tools., • Build and test prototypes, applying design-for-manufacture, repair, and safety principles., • Produce and maintain technical documentation (CAD files, BOMs, wiring diagrams, manuals)., • Identify suppliers, manufacturing processes, and cost-effective production routes., • Develop and implement test plans, QA/QC procedures, and safety validation for new and existing products., • Conduct FMEA and risk analyses; document results and lead corrective actions to enhance product reliability and performance., • Bachelor’s or Master’s degree in an engineering-related field such as Mechanical, Electrical, or Electronic Engineering., • Experience designing and manufacturing electro-mechanical devices., • Proficiency in SolidWorks or other 3D CAD software., • Experience creating and maintaining detailed product documentation (specifications, wiring diagrams, schematics, work instructions)., • Expertise in Finite Element Analysis (FEA)., • Knowledge of Failure Mode and Effects Analysis (FMEA) and technical risk management., • Experience designing and executing test and validation procedures., • Familiarity with product safety testing and quality assurance standards., • Experience coordinating with suppliers and manufacturing partners. Salary Range £35,000-£45,000 depending on experience.

About JoltSynsor is a deep-tech spinout from Cambridge University, building the AI digital inspector to revolutionize infrastructure health monitoring. Our technology is solving a massive, global problem: the inefficiency and inaccuracy of manual inspections for critical infrastructure like bridges, tunnels, buildings and other large-scale assets. Every year, trillions of dollars are spent on infrastructure maintenance globally, yet catastrophic failures still occur due to human limitations in inspection processes. Our mission is to eliminate these inefficiencies and risks by replacing manual inspections with an AI-powered solution that’s faster, safer, and more reliable. Using our proprietary AI models and exclusive training data—developed through years of cutting-edge research—we enable real-time structural health monitoring at a fraction of the cost. This is a great opportunity to join a mission-driven company tackling one of the most significant challenges in sustainability, safety, and efficiency. The Opportunity We are looking for a founding full-stack Software Engineer to help us build this revolutionary platform from the ground up. It’s a great chance to be part of a game-changing journey—to create technology that impacts everyone's daily life worldwide while shaping the future of a fast-growing deep-tech startup. What You’ll Do As an early employee, you’ll take ownership of building our core platform: • Design and develop the core CMS and 3D rendering platform to power our AI-based digital inspector., • Work on cutting-edge problems such as processing massive LiDAR datasets, implementing real-time 3D rendering (Three.js), and integrating with proprietary AI models., • Architect and implement systems across the stack, from backend (Node.js, Next.js) to frontend (ReactJS, TypeScript), and deploy on the cloud (Google Cloud)., • Collaborate directly with the founding team to define product features, technical strategy, and our roadmap for growth., • Lay the technical foundation for scaling the product globally and help create a collaborative, high-performing engineering culture. What We’re Looking For We want an engineer who is not only highly skilled but also deeply motivated to join a mission-driven startup: 5+ years end to end product development working experience. Technical Skills: • Strong experience in full-stack development, with expertise in JavaScript, ReactJS, TypeScript, and backend systems like Node.js and Next.js., • Knowledge of 3D rendering tools (Three.js) and familiarity with Azure for scalable application development., • A solid understanding of system architecture, data schemas, and API design., • Bonus: Experience with C++ or OpenGL for advanced point cloud 3D rendering. Mindset & Motivation: • Passion for deep-tech innovation and excitement to tackle big, meaningful problems., • A desire to work on mission-driven technology with real-world impact., • Entrepreneurial spirit with a willingness to take ownership and grow with the company., • Focus on long-term impact and growth rather than short-term financial incentives.

Graduate R&D Engineer / Physicist Location: Cambridge, UK Salary: £30,000 – £40,000 Benefits: Comprehensive package including profit-related bonus, company performance bonus, private medical insurance, life insurance, pension scheme, and free lunch Contact: Adam Mayne – | 01234 823373 About the Role We are seeking a talented and motivated Graduate Physicist or R&D Engineer to join a cutting-edge product development team in Cambridge. This is an exceptional opportunity to contribute to the design and development of next-generation fluid control technologies that are transforming the medical, life sciences, environmental, and industrial sectors. As part of the multidisciplinary R&D team, you will be part of team exploring and applying advanced physical principles, such as piezoelectricity, non-linear acoustics, and resonant mechanics to develop innovative and disruptive products. As you progress you’ll be involved in every stage of the development cycle, from concept generation and prototyping to design refinement and commercial launch. This role is ideal for recent graduates (BSc, MSc, or PhD) in Physics or Engineering who have hands-on experience in applied physics through academic projects, internships, or industry placements. Key Responsibilities • Research and develop novel fluid control technologies using applied physics., • Design and execute experiments to validate concepts and prototypes., • Collaborate with cross-functional teams to bring products from concept to market., • Apply analytical and experimental techniques in mechanics, fluidics, and acoustics., • Contribute to the automation of laboratory testing using tools such as Python, LabVIEW, or MATLAB. Candidate Profile • A 1st or 2:1 degree in Physics or Engineering (MSc or PhD advantageous)., • Demonstrated experience in applied physics and concept development., • Strong analytical and experimental skills, especially in mechanics, fluidics, and acoustics., • Practical lab skills and the ability to design and run experiments independently., • Creative, curious, and imaginative approach to problem-solving., • Experience with simple electronic circuit design is a plus., • Familiarity with Python, MATLAB, or LabVIEW for data analysis and test automation is beneficial. Location Based in Cambridge, this role is easily commutable from Newmarket, Huntingdon, St Neots, Royston, Bury St Edmunds, Stevenage, and surrounding areas.

Description Nuclera is a venture-backed biotech company headquartered in Cambridge, UK with significant operations in Boston, USA. Nuclera’s mission is to accelerate discovery by enabling rapid, easy access to functional proteins essential for drug discovery research. Our eProtein Discovery™ benchtop system accelerates protein expression and purification optimization in research labs. We’re looking for a motivated Research Assistant/Scientist to join our Protein Science team. You’ll work on cutting-edge protein expression, purification, and characterisation workflows, contributing directly to the development of our eProtein Discovery™ platform. The role would suit a candidate with excellent communication and organizational skills, a drive for working in a fast-paced biotech environment, and a track record of execution and teamwork. Experience in molecular biology, protein expression, and characterization is essential. About the role: • Follow SOPs to and work under supervision to execute and analyze experiments on the eProtein Discovery System., • Design, execute, and troubleshoot DNA preparations, protein purifications and protein activity assays with guidance from senior members of the group., • Actively engage in scientific discussion within the group and across groups to contribute to robust product development., • Report results in a timely manner and maintain good laboratory practices. Requirements Essential: • BS/MSc in protein biophysics, biochemistry, molecular biology or a related area, with 2-4 years’ (for BS) and 1 years’ (for MSc) industry experience, • Track record of delivering robust data and high-quality results within tight timelines, • Experience with common molecular biology techniques, including PCR, molecular cloning, and agarose gel electrophoresis, • Experience with common protein expression and purification techniques, SDS-PAGE gel electrophoresis, and protein quantification, • A collaborative team player with a positive can-do attitude, • Strong problem solving capabilities, clear communication and presentation skills, • Self-motivated interest in Nuclera’s technology, • Right to work in the UK. Desirable: • Previous experience of making or working with proteins in the pharmaceutical, CRO, and/or biotechnology industry would be advantageous., • Prior experience in expressing and purifying antibodies., • Understanding the principles of cell-free protein synthesis technologies, • Experience in protein engineering and structure-guided design of protein variants for stability, activity, or yield., • Some knowledge of protein assays, characterisation and functional properties (e.g. solubility, aggregation properties, activity) UK Benefits What we offer: In addition to competitive salaries, we offer a range of benefits including: • Company bonus scheme of 5%, • Share option incentive scheme, • Life insurance, • Private medical insurance and cash plan, • 25 days' annual leave + Bank Holidays, • Enhanced employer's pension contributions, • Enhanced maternity and paternity Leave, • Investment in professional development and learning, • Fresh fruit, tea, coffee, and snacks in the office, • Organised summer events for staff

Are you a passionate, high performing Field Sales Account Manager with field sales experience? Do you have the ability to communicate at all levels and want to be part of a growing team to make a real impact? Then Scientific Laboratory Supplies (SLS) is the right fit for you. Join us and contribute to our mission of being the UK's largest independent supplier of laboratory equipment, chemicals, and consumables. Job Summary: We are looking for a Field Based Territory Sales Manager covering the Cambridgeshire, East Anglia, Hertfordshire & Essex region on a permanent basis. The territory is a multisegmented territory including Academia, Clinical and Biotech/Pharma accounts. We are looking for an experienced individual with a strong track record of selling and a determined approach to network through large, complex organisations with the aim of growing and retaining existing and new relationships. Selling laboratory consumables, chemicals and equipment, so Account Management and Business Development skills will be essential to succeed in this role. You will immerse yourself into the world of biotech and Pharma. Key Responsibilities: • Overseeing a portfolio of customers across a wide range of industries, a key component of success will be close coordination and collaboration with a team of product specialists leading these product segments to generates sales within your accounts to hit sales targets., • Liaising with internal and external stakeholders within the business but also within various department of the customers you are working with., • Collaborate and work effectively as a team to ensure you maximise all opportunities that present themselves. Using your colleagues’ specialist product and technical skills will allow you to distinguish yourself and your products from the competition., • Support your colleagues with any sales of these key consumables’ products within their accounts, requiring collaboration and team spirit to ensure you work closely together so being a strong team player is key., • Establishing and maintaining strong relationships with customers to provide a high level of support and service to existing accounts. The Ideal Candidate • Must live within the territory., • Motivated and pro-active in your approach to work, to drive business and generate sales with new and existing customers., • Being highly organised, taking time to plan and then execute your sales strategy will ensure success in this role., • Previous Account management or business development skills, • 5 years field sales experience ideally within academia and research, Biotech, clinical and Pharma or industrial laboratory environments., • Enthusiasm to grow territory performance by approaching new and prospective customers, by appointments or by cold calling., • Strong interpersonal, communication and negotiation skills, • Ability to manage and prioritise own workload., • Full UK driving licence is essential for this role, as you will be travelling around the region to your customers daily. Nice to have: • Scientific background or understanding to ensure you easily build credibility and trust with your customers to understand their needs and competitor activities. About us: SLS are the UK’s largest independent supplier of laboratory equipment, chemicals and consumables. Because of our independence, we have a unique approach to sourcing and supplying the highest quality, best value products and brands. Supplying to a wide range of sectors, provides a diverse and interesting customer base as well as providing countless opportunity to grow and expand. With a Nottingham based Head Office, with customers all over the UK, we are a stable and growing company who have an excellent reputation in the market. We are passionate about our people and have developed a strong team dynamic who are welcoming and supportive of new individuals joining the company with a brilliant management team to support you as your find your feet in the role. We are also proud to be a Living Wage Employer and committed to equal opportunities and actively promote a diverse and inclusive working environment, and fairness for everyone. Alongside our commitment to your professional and personal development, we also offer a generous benefits package including: • Competitive salary, • 25 days annual leave plus Bank Holidays, • Company pension, • Cycle to work scheme, • Enhanced Maternity and Paternity leave, • Small, friendly, and sociable teams with staff events, • Career opportunities for development and progression

Commercial Manager – Histology & Microtomy Instruments 📍UK (Hybrid / Field-Based) Kinara group is working exclusively with A well-established European manufacturer of precision microtomes and histology instruments is expanding its commercial operations in the UK and Ireland. They are seeking a Commercial Manager to lead market development activities, managing direct customer relationships and distributor networks across clinical, academic, and research laboratories. This role combines strategic sales management with hands-on business development ideal for someone who enjoys building relationships, growing accounts, and representing a respected brand within the pathology and life sciences community. Key Responsibilities: • Lead sales and business development across the UK & Ireland for histology and microtomy instruments., • Develop and manage relationships with distributors, NHS pathology labs, academia, and private research institutions., • Identify and convert new business opportunities while maintaining existing key accounts., • Represent the company at tradeshows, exhibitions, and industry events., • Collaborate with internal stakeholders to forecast sales, support marketing activities, and enhance brand visibility., • Proven experience in life science, diagnostics, or medical device sales., • Strong understanding of histology, pathology, or related laboratory workflows., • Confidence presenting technical instrumentation to scientific and clinical users., • Experience managing distributor networks and direct key accounts., • Self-motivated, commercially minded, and capable of driving sustained revenue growth., • Competitive base salary + performance-based commission., • Autonomy to shape commercial strategy for a respected global brand., • Opportunity to play a key role in a growing UK presence within histology., • Supportive environment with strong heritage and product credibility

Stax Deeptech Talent has been exclusively retained by a highly innovative, well-funded deep-tech company poised to revolutionise the battery sector with its next-generation technology. We are seeking a proven, dynamic Vice President of Engineering & Operations to join the Leadership Team and spearhead the critical scale-up phase. This is a pivotal, C-suite-adjacent role, responsible for transforming a core, breakthrough battery technology from lab-scale validation into robust pilot production and eventual commercial manufacturing. The successful candidate will be instrumental in shaping the client’s technical and operational strategy, securing its readiness for high-volume market entry. The Mandate: Driving Scale and Operational Excellence This leader will combine deep technical mastery in battery development and manufacturing with an elite operational mindset. You will be tasked with leading all engineering functions, overseeing critical cell development, accelerating process scale-up, and establishing the foundational, world-class operational systems necessary to deliver this next-generation battery product. Key Areas of Accountability: Technical & Industrialisation Leadership: • Define and execute the comprehensive engineering and operational roadmap, effectively bridging R&D breakthroughs with manufacturable, scalable processes., • Lead the entire process of development, optimisation, and industrialisation of the core lithium-sulfur battery technology., • Provide expert technical direction across cell design, advanced materials processing, manufacturing methodologies, and overall product engineering. Team Build-Out & Organisational Strategy: • Recruit, build, and lead a high-performing, multidisciplinary engineering and operations organisation covering process development, production, quality assurance, and supply chain., • Instill a culture defined by technical rigor, continuous improvement, and cross-functional excellence., • Mentor key technical leaders and ensure all operational efforts are tightly aligned with strategic commercial milestones. Operational Scale-Up & Infrastructure: • Establish initial pilot production capabilities and foundational operational infrastructure, collaborating intensely with R&D and strategic external partners., • Develop and implement best-in-class manufacturing, quality management, and safety systems appropriate for a high-growth deep-tech organisation., • Manage strategic supplier and vendor relationships, contributing expertise to key decisions regarding vertical integration and outsourcing models., • Strategic Leadership & External Representation:, • Partner closely with the CEO and Board to define long-term company strategy and strategic priorities., • Represent the organisation in high-value strategic partnerships with customers, key suppliers, and external research collaborators., • Act as a core member of the leadership team, supporting critical fundraising activities, investor engagement, and high-stakes communications. Candidate Profile: What We're Searching For We are seeking candidates who demonstrate a distinguished career in advanced technology scale-up. Qualifications & Experience: • Significant executive leadership experience within the battery technology, advanced materials, or complex high-tech manufacturing industries., • Deep, demonstrable technical fluency in battery technologies and electrochemical systems., • Proven track record of successfully taking complex battery or advanced materials technologies from the laboratory research stage through to industrial pilot production and commercial scale., • Strong foundational background in engineering or high-volume manufacturing disciplines., • Exceptional communication and presentation skills, with the ability to articulate complex technical and operational strategies to diverse audiences, including investors, commercial partners, and customers.

Description: Nuclera is a venture-backed biotech company headquartered in Cambridge, UK with significant operations in Boston, USA. Our company is the pioneer in bringing rapid protein access to the benchtop. We make proteins accessible through the eProtein Discovery™ System. Through our technology we accelerate breakthrough improvements in human health and empower life science researchers with easy access to target proteins. As an Inside Sales Specialist, you will play a crucial role in helping drive revenue growth for the Sales team, collaborating closely with marketing, product, and technical teams to deliver value-driven sales pitches tailored to the needs of protein scientists across all sectors. With your deep technical background, you’ll be a critical player in driving the adoption of Nuclera’s eProtein Discovery system and associated consumables. Your primary responsibilities will include the identification, engagement, and qualification of prospective customers, while establishing a strong pipeline of sales opportunities. The Commercial team will be scaling over the course of 2025, and this is an excellent opportunity to get in on the ground floor and contribute to the commercialization of our technology. About the role: • Manage and nurture a sales pipeline by developing and implementing effective sales strategies to drive business expansion and meet revenue goals., • Qualify leads by understanding their needs, challenges, and potential use cases., • Collaborate with the marketing team to create compelling sales campaigns, promotions, and materials to generate leads and enhance brand visibility., • Build and maintain strong relationships with existing and potential customers through effective communication and exceptional customer service., • Conduct market research to identify new opportunities, customer needs, and competitor activities., • Provide regular reports and analysis on sales performance, market trends, and customer feedback to inform strategic decision-making., • Collaborate with cross-functional teams, including product development and customer support, to enhance overall customer experience., • Stay up to date with industry trends and advancements to position Nuclera as a leader in the field., • Travel up to 15% of the time to support commercial initiatives based on customer and business demand. Requirements: • PhD in the Life Sciences or related field, preferably Protein Science. MSc or Bachelors with equivalent industry experience would be considered., • Strong understanding of protein research, including expression systems, purification techniques, and related technologies and practices., • Results driven, self-motivated, self-confident, competitive yet cooperative, adaptable, with a positive attitude., • Strong analytical and problem-solving skills, with the ability to analyze sales data and market trends to inform decision-making in a dynamic environment., • Excellent communication and interpersonal skills, with the ability to build relationships with customers, stakeholders, and internal teams., • Demonstrated ability to develop and implement effective sales strategies., • Strong organizational, attention to detail, multitasking abilities, and time management skills. Benefits What we offer: In addition to competitive salaries, we offer a range of benefits including: • Share option incentive scheme, • Life insurance, • Private medical insurance and cash plan, • 25 days' annual leave + Bank Holidays, • Enhanced employer's pension contributions, • Enhanced maternity and paternity Leave, • Investment in professional development and learning, • Fresh fruit, tea, coffee, and snacks in the office, • Organised summer events for staff

Amazon is looking for an AI Content Expert II to help with annotations, content generation, and data analysis. As part of the Data Team, you will be responsible for delivering high-quality training data to improve and expand Large Language Models' (LLMs) capabilities. Key job responsibilities • Creating and annotating high-quality complex training data in multiple modalities (text, image, video) on various topics, including technical or science-related content, • Writing grammatically correct texts in different styles with various degrees of creativity, strictly adhering to provided guidelines, • Performing audits and quality checks of tasks completed by other specialists, if required, • Making sound judgments and logical decisions when faced with ambiguous or incomplete information while performing tasks, • Diving deep into issues and implementing solutions independently, • Identifying and reporting tooling bugs and suggesting improvements A day in the life As an AI Content Expert, you will be responsible for creating training data that are complex in nature and will require you to make informed and high judgement decisions in each case. You will be working closely with scientists and engineers to review and update guidelines, identify tooling improvement opportunities, and engage in conversations regarding the quality of data. About the team The team works strictly in the office Monday through Friday with an eight-hour shift. We are constantly looking for ways to improve our capabilities and deliver the best product possible. Diverse team, regular meetings, trainings, and Amazon events throughout the year await you. Contract Type: Fixed term contract • High-School or equivalent diploma., • Proven experience working with written language data, including experience with annotation, and other forms of data markup., • CEFR C1 or equivalent fluency in German language, • Written and spoken knowledge of English is essential (CEFR C1), • Strong understanding of U.S.-based culture, society, and norms., • Strong research skills to gather relevant information, understand complex topics, and synthesize multiple resources; understanding of basic academic integrity, i.e. plagiarism., • Excellent attention to details and ability to focus for a long period of time, • Comfortable with high-school level STEM, • Ability to effectively write and evaluate diverse subject matter across various domains, • Ability to adapt writing style to suit various style guidelines and customers., • Ability to adapt well to fast-paced environments with changing circumstances, direction, and strategy, • Bachelor’s degree in a relevant field or equivalent professional experience, • Experience with creating complex data for LLM training and evaluation, • Proven experience working with command line interfaces and basic UNIX commands, • Familiarity with common markup languages such as HTML, XML, Markdown, • Familiarity with common standard text formats such as JSON, CSV, RTF, • Working knowledge of Python or another scripting language, • Familiarity with regular expressions syntax, • Familiarity with Large Language Models, • Comfort in annotation work that may include sensitive content Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice (___) to know more about how we collect, use and transfer the personal data of our candidates. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit ___ for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

Cambridge Fire Research Ltd (CFR), based in Pampisford, Cambridgeshire, is a leading independent fire resistance test laboratory. Established in 2005 - with roots going back over 30 years - we specialise in delivering UKAS-accredited fire testing and product development services in accordance wit.

Lead the science behind the story-join as Director HEOR and turn real-world data into real-world impact. R&D Partners is seeking a Director HEOR to join a leading digital health organization specializing in patient-generated data and real-world evidence (RWE). This role offers the opportunity to work with cutting-edge platforms integrating real-time patient outcomes, EHR data, wearable health metrics, and socioeconomic insights to drive transformative analytics and improve patient outcomes. The position is fully remote, based in the UK or EU. The Health Economics Outcomes Research (HEOR) group focuses on patient experience and insight research to support product development, unmet clinical needs, burden of illness assessments, and global promotional and labeling claims. Please note that to be considered for this role you must have the right to work in this location. Position Overview: As a Research Director in the HEOR team, you will be a recognized expert in Clinical Outcome Assessments (COA) strategy with a strong track record of publications and presentations. You will lead research projects, provide senior-level mentorship, and contribute to the financial performance and strategic development of the HEOR team. Responsibilities: Research Project Delivery: • Develop and maintain an individual research portfolio, generating leads from clients., • Draft complex proposals ensuring scientific integrity and methodological rigor., • Ensure the quality of client deliverables and efficient use of project resources within budget. Science: • Serve as an internal consultation resource and provide senior-level oversight for project work and regulatory issues., • Maintain high external visibility through publications and presentations., • Oversee quantitative and/or qualitative analyses, interpret results, and guide project staff in completing deliverables., • Drive scientific excellence and innovation within the HEOR team. Strategy & Consulting: • Contribute to the scientific direction and goals of the HEOR team., • Provide high-level consultation with regulatory bodies and science boards., • Develop innovative scientific strategies to address client challenges., • Support business development through client outreach and networking., • Maintain scientific quality by providing training and establishing benchmarks of excellence. Key Skills and Requirements: • Education: PhD with 10+ years of experience, or MA with 15+ years of experience in health outcomes and patient-centered research., • Significant recent consulting experience with internal and external clients., • Demonstrated track record of delivering scientific outputs, particularly peer-reviewed publications., • Strong networking skills to support business development., • Proficiency in MS Word, PowerPoint, Excel, and familiarity with SAS or similar data analysis software., • Proven ability to lead innovative, complex, and collaborative project teams. For more information, please contact Mark Lewis. If you are interested in applying to this exciting opportunity, then please click 'Apply' or to speak to one of our specialists visit the 'Contact Us' page. R&D Partners is a leading life sciences recruiter focused on finding exceptional people and matching them with the finest positions across the globe. R&D Partners is acting as an Employment Agency in relation to this vacancy. By submitting this application, you confirm that you've read and understood our privacy policy, which informs you how we process and safeguard your data -

Senior OS Performance Expert Permanent Cambridge - (On-Site) You must be eligible to work in the UK without the need for Sponsorship As a Senior OS Performance Expert, you will play a key role in optimizing the performance of next-generation mobile operating systems. You’ll focus on improving system architecture, enhancing efficiency, and ensuring optimal power consumption and thermal performance. Key Responsibilities Enhancing Mobile OS System Performance: • Conduct in-depth research on runtime resource management and control policies., • Investigate kernel task scheduling and SoC frequency modulation mechanisms., • Collaborate on software/hardware co-design to improve system integration., • Identify and resolve operating system performance bottlenecks., • Design and implement solutions that deliver smooth and reliable product performance. Researching OS Application Architecture: • Strengthen the competitiveness of key mobile OS technologies., • Improve application responsiveness and user interaction., • Design and optimize high-performance core modules., • Solve complex technical challenges in application architecture., • Stay current with industry trends and emerging OS application technologies., • Develop high-performance APIs and development paradigms to enhance application performance and ease of use. Developing Performance Capabilities: • Define technical roadmaps and establish performance standards., • Create performance evaluation systems and supporting infrastructure., • Advance key technical capabilities in the performance domain., • Build and maintain deep expertise in operating system performance optimization. What We’re Looking For • Master’s degree in Computer Science, Computer Engineering, Electrical Engineering, or a related field., • Strong understanding of data structures and algorithms., • Proficiency in one or more programming languages (e.g., Java, C++, Python, JavaScript, Go, HTML)., • Extensive experience in operating system performance optimization, systems engineering, or similar areas. Desirable Qualifications • Experience developing mobile or Internet applications, or working with iOS/Android operating systems., • Familiarity with front-end technologies such as JavaScript frameworks (React, Angular, Vue.js), HTML5, and CSS., • Knowledge of operating system principles, system architecture, and performance/power optimization techniques., • Track record of publishing research or papers in related technical fields or international conferences/journals.

Amazon is looking for an AI Content Expert II to help with annotations, content generation, and data analysis. As part of the Data Team, you will be responsible for delivering high-quality training data to improve and expand Large Language Models' (LLMs) capabilities. Key job responsibilities • Creating and annotating high-quality complex training data in multiple modalities (text, image, video) on various topics, including technical or science-related content, • Writing grammatically correct texts in different styles with various degrees of creativity, strictly adhering to provided guidelines, • Performing audits and quality checks of tasks completed by other specialists, if required, • Making sound judgments and logical decisions when faced with ambiguous or incomplete information while performing tasks, • Diving deep into issues and implementing solutions independently, • Identifying and reporting tooling bugs and suggesting improvements A day in the life As an AI Content Expert, you will be responsible for creating training data that are complex in nature and will require you to make informed and high judgement decisions in each case. You will be working closely with scientists and engineers to review and update guidelines, identify tooling improvement opportunities, and engage in conversations regarding the quality of data. About the team The team works strictly in the office Monday through Friday with an eight-hour shift. We are constantly looking for ways to improve our capabilities and deliver the best product possible. Diverse team, regular meetings, trainings, and Amazon events throughout the year await you. Contract Type: Fixed term contract • High-School or equivalent diploma., • Proven experience working with written language data, including experience with annotation, and other forms of data markup., • Strong proficiency in English. Candidate must demonstrate excellent writing, reading, and comprehension skills (C1 level in the Common European Framework CEFR scale)., • Strong understanding of U.S.-based culture, society, and norms., • Strong research skills to gather relevant information, understand complex topics, and synthesize multiple resources; understanding of basic academic integrity, i.e. plagiarism., • Excellent attention to details and ability to focus for a long period of time, • Comfortable with high-school level STEM, • Ability to effectively write and evaluate diverse subject matter across various domains, • Ability to adapt writing style to suit various style guidelines and customers., • Ability to adapt well to fast-paced environments with changing circumstances, direction, and strategy, • Bachelor’s degree in a relevant field or equivalent professional experience, • Experience with creating complex data for LLM training and evaluation, • Proven experience working with command line interfaces and basic UNIX commands, • Familiarity with common markup languages such as HTML, XML, Markdown, • Familiarity with common standard text formats such as JSON, CSV, RTF, • Working knowledge of Python or another scripting language, • Familiarity with regular expressions syntax, • Familiarity with Large Language Models, • Comfort in annotation work that may include sensitive content Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice (___) to know more about how we collect, use and transfer the personal data of our candidates. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit ___ for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

Amazon is looking for an AI Content Expert II to help with annotations, content generation, and data analysis. As part of the Data Team, you will be responsible for delivering high-quality training data to improve and expand Large Language Models' (LLMs) capabilities. Key job responsibilities • Creating and annotating high-quality complex training data in multiple modalities (text, image, video) on various topics, including technical or science-related content, • Writing grammatically correct texts in different styles with various degrees of creativity, strictly adhering to provided guidelines, • Performing audits and quality checks of tasks completed by other specialists, if required, • Making sound judgments and logical decisions when faced with ambiguous or incomplete information while performing tasks, • Diving deep into issues and implementing solutions independently, • Identifying and reporting tooling bugs and suggesting improvements A day in the life As an AI Content Expert, you will be responsible for creating training data that are complex in nature and will require you to make informed and high judgement decisions in each case. You will be working closely with scientists and engineers to review and update guidelines, identify tooling improvement opportunities, and engage in conversations regarding the quality of data. About the team The team works strictly in the office Monday through Friday with an eight-hour shift. We are constantly looking for ways to improve our capabilities and deliver the best product possible. Diverse team, regular meetings, trainings, and Amazon events throughout the year await you. • High-School or equivalent diploma., • Proven experience working with written language data, including experience with annotation, and other forms of data markup., • Strong proficiency in English. Candidate must demonstrate excellent writing, reading, and comprehension skills (C1+ level in the Common European Framework CEFR scale)., • Strong understanding of U.S.-based culture, society, and norms., • Strong research skills to gather relevant information, understand complex topics, and synthesize multiple resources; understanding of basic academic integrity, i.e. plagiarism., • Excellent attention to details and ability to focus for a long period of time, • Comfortable with high-school level STEM, • Ability to effectively write and evaluate diverse subject matter across various domains, • Ability to adapt writing style to suit various style guidelines and customers., • Ability to adapt well to fast-paced environments with changing circumstances, direction, and strategy, • Bachelor’s degree in a relevant field or equivalent professional experience, • Experience with creating complex data for Large Language Model (LLM) training and evaluation, • Proven experience working with command line interfaces and basic UNIX commands, • Familiarity with common markup languages such as HTML, XML, Markdown, • Familiarity with common standard text formats such as JSON, CSV, RTF, • Working knowledge of Python or another scripting language, • Familiarity with regular expressions syntax, • Familiarity with Large Language Models, • Comfort in annotation work that may include sensitive content Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice (___) to know more about how we collect, use and transfer the personal data of our candidates. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit ___ for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

As a graduate software engineer, you will work on research and design to testing and delivering features across our product range. Neat is hiring for a Graduate Software Engineer to join the R&D team in Cambridge as we continue the next chapter of product development on Pulse, our solution to the wo

Cambridge Fire Research Ltd (CFR), based in Pampisford, Cambridgeshire, is a leading independent fire resistance test laboratory. Established in 2005 - with roots going back over 30 years - we specialise in delivering UKAS-accredited fire testing and product development services in accordance wit.

Software Engineers (all levels - Graduates to principal Engineer). Application Software Engineer Graduate to Lead Considered. As a graduate software engineer, you will work on everything from research and design to testing and delivering features across our entire product range.

A paid Product Tester position is perfect for those looking for an entry-level opportunity, flexible or seasonal work, temporary work or part-time work. It is important to note that during your application process, reputable market research companies will determine your demographics and consumer pro

Demonstrate the functionality of products to a range of research users with differing levels of technical expertise and support them with utilising the product. The role may also suit individuals looking to shift from academia to a more operational and enterprise role that lack previous product owne

Product Catalog & Research Analyst. Product Research of North America/Global Catalogue. Product Catalog & Research Analyst at Uvation.

Quantitative Research - Chief Data Office Data Product Owner – Vice President. A unique opportunity to join Quantitative Research Chief Data Office Data Product Owner in London. Join to apply for the Quantitative Research - Chief Data Office Data Product Owner – Vice President role at JPMorganCh