Bradley Green

🚨LAST CALL ENGINEERING LEADERS🚨 The last few spaces to the Engineering Leadership meetup in Berlin next Thursday are going quickly! We have just a few spaces left. If you are interested in attending next weeks Engineering Leadership Meetup, you don't want to miss these 3 presentations: 🔥: Using Event Storming to Structure Engineering Teams 🔥: Boosting Collaboration by Sharing Individual Goals in Teams. 🔥: Logical Deduction of Agile Development This is a great chance to network and meet other engineering leaders facing similar challenges to you! You can get your ticket in the comments, but be quick!⬇️

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5️⃣ Reasons why every tech Recruiter/Sourcer needs to learn how to read and use GitHub ⬇️ 📍You will save up to 50% of the time you spend on sourcing 📍You will find people for the most challenging technical positions 📍You will gain respect and trust from technical managers and candidates 📍You will increase your market value and stand out in interviews 📍You will feel more confident in sourcing and make your daily sourcing funnier To ensure Github sourcing is like this, and not 'what on earth do these symbols mean,' you need to learn how to read profiles and understand the mechanics of GitHub.

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Machine Learning Engineer - Founding Team - London £200k If you answer yes to 4/5 of these questions, then you want to check out this job (link in comments) 1️⃣ Do you have experience with quantization techniques (e.g., PEFT, DeepSpeed, TensorRT) to optimize ML models? 2️⃣  Have you ever managed or worked with a multi-node HPC cluster? 3️⃣ Are you familiar with Deep Learning using PyTorch Library? 4️⃣ Do you have experience with Kubernetes container orchestration? 5️⃣  Have you worked with some of the recent Large Language Models (e.g., OpenAI, LLaMA)? #LLM #ArtificialIntelligence #Quantization

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GStreamer is a pipeline-based multimedia framework that links together a wide variety of media processing systems to complete complex workflows. For instance, GStreamer can be used to build a system that reads files in one format, processes them, and exports them in another. The formats and processes can be changed in a plug and play fashion. https://lnkd.in/gmrhqffD #GStreamer #multimediaframework 

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Check out our latest blog to learn how OpenSCENARIO V2.0 shapes mobility engineering and Applied Intuition's approach to evolving requirements.

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Machine Learning Engineer - Founding Team - London £200k If you answer yes to 4/5 of these questions, then you want to check out this job (link in comments) 1️⃣ Do you have experience with quantization techniques (e.g., PEFT, DeepSpeed, TensorRT) to optimize ML models? 2️⃣  Have you ever managed or worked with a multi-node HPC cluster? 3️⃣ Are you familiar with Deep Learning using PyTorch Library? 4️⃣ Do you have experience with Kubernetes container orchestration? 5️⃣  Have you worked with some of the recent Large Language Models (e.g., OpenAI, LLaMA)? #LLM #ArtificialIntelligence #Quantization

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🚀 The AI Bottleneck No One's Talking About (Yet) 🚀 Everyone's racing to build the "best GPT" model, but are we missing a massive opportunity? (Anthropic, Cohere Mistral AI, xAI) We talk a lot about state-of-the-art models, insane parameter counts, and scaling challenges. But what if the real competitive edge for ML/AI startups isn’t just about building bigger models—but instead, it's about getting models to market faster and with less risk? 💭 Imagine this: In a typical ML project, only about 20% of the effort goes into the modeling phase. The other 80%? Data wrangling, model deployment, scalability testing, edge-case handling, and post-deployment monitoring. What if we could flip this ratio? What if startups invested more heavily in the “last mile” of AI deployment—making the tech explainable, user-friendly, and adaptable to evolving conditions? 🌐 Building multimodal systems that integrate seamlessly into everyday applications. 🛠 Focusing on tools that simplify deployment, not complicate it. ⚡ Shifting from raw power to smart, adaptive tech that evolves with user needs. 🔄 AI’s next big leap isn’t just technical—it’s practical. It’s about making advanced tech actually work in the messiness of the real world. These are just my thoughts, but what’s one challenge you think ML startups consistently underestimate? #AI #MachineLearning #Startup #Innovation #DeepTech #ProductLaunch #founders

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SYNERGY is our #AI corporate product built in-house to predict & infer variables based on hashtag #machinelearning and #deeplearning AI techniques. Learn more checking our release demo presentation: https://bit.ly/3W4vKI4

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Recruitment Challenges: Overcoming Skill Gaps in the Tech Industry 📢 Are you facing challenges to find suitable candidates with the right skills for your tech roles? 🤔 🔍 Skill gaps have become a common hurdle in the tech industry, where demand for specific expertise often outstrips the available talent pool. In this article, we will explore some strategies to overcome these recruitment challenges. 💪 1️⃣ Upskilling and Reskilling Programs: Invest in training and development programs to bridge the skill gaps within your existing workforce. By providing opportunities for employees to learn new technologies or enhance their skills, you can fill critical roles from within your organization. 2️⃣ Collaboration with Tech Schools: Forge strong partnerships with universities and technical schools to tap into fresh talent. Create internship programs or sponsor projects that align with your company's needs. This collaborative approach helps build a talent pipeline and ensures you have access to skilled candidates. 3️⃣ Rethink Job Descriptions: Instead of focusing solely on specific qualifications or years of experience, place more importance on the candidates' potential and ability to learn. Look for transferable skills and individuals who demonstrate adaptability to different technologies. 4️⃣ Collaboration with Recruitment Agencies: Leverage the expertise of recruitment agencies specializing in the tech industry. They have access to a wide network of qualified candidates and can help identify individuals with the desired skill set quickly. 5️⃣ Encourage Diversity and Inclusion: Embrace diverse hiring practices to tap into a broader talent pool. Studies have shown that diverse teams tend to be more innovative and creative. By actively promoting diversity and inclusion, you can attract candidates from different backgrounds, perspectives, and skill sets. 💡 Overcoming skill gaps requires a multifaceted approach, combining internal initiatives, collaboration with external partners, and a focus on diversity and inclusion in your hiring practices. By implementing these strategies, you can bridge skill gaps and find the right talent to drive your organization's success. 🚀 What challenges have you faced in recruiting for tech roles? How did you overcome them? Share your experiences in the comments below! 👇 #RecruitmentChallenges #SkillGaps #TechRoles #TalentAcquisition #TechRecruitment

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🤯 I was mindblown discovering Claude Artifacts: As we stand on the verge of a new transformation of education, Claude artifacts are emerging as a transformative force that could reshape how we learn and interact with artificial intelligence from the get go. These dynamic, AI-generated content modules e.g.: - interactive dashboards generated from PDFs, spreadsheets & more - data visualisation - wireframe creation / UI - code modules and so much more represent a significant leap forward in educational technology, offering a tantalizing preview of future human-AI collaboration. Claude artifacts are not mere static information blocks. They are adaptive, interactive, and context-aware pieces of content that can be seamlessly integrated into various learning environments. Whether it's a complex code snippet, an interactive data visualization, or a customizable lesson plan, these artifacts have the potential to revolutionize personalized learning and YOU can publish them to your audience! Key advantages of Claude artifacts in education: 1. Personalization at scale: AI can tailor artifacts to individual learning styles and paces, addressing the long-standing challenge of providing personalized education to large numbers of students. 2. Real-time adaptation: Artifacts can evolve based on a learner's progress, ensuring that educational content remains challenging yet achievable. 3. Interdisciplinary learning: By effortlessly combining elements from different subjects, artifacts can foster a more holistic understanding of complex topics. 4. Hands-on experience: Interactive coding environments and simulations within artifacts provide practical, risk-free learning experiences. 5. Accessibility: AI-generated artifacts can quickly translate and adapt content, making quality education more accessible across language barriers and learning differences. As we integrate these AI-powered tools into our educational systems, we're not just enhancing learning – we're actually redefining it. Claude artifacts offer a glimpse into a future where the boundaries between human expertise and AI assistance blur even more, creating what can be the beginning of a symbiotic relationship that amplifies our collective knowledge and capabilities. The future of education is adaptive, personalized, and potentially powered by the vast capabilities of AI. What are your thoughts? https://lnkd.in/gdChQ9Vz https://lnkd.in/gKup7zzE #AIinEducation #FutureOfLearning #EdTech

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How is Uber using machine learning to deliver 10M real-time predictions per second?   Foxtek's May Data & AI report has the answer and other latest updates, including:   ✔️ Synq’s crucial findings on data accuracy and the need for specialised testing. ✔️ LinkedIn’s LakeChime: Unifying data trigger semantics across modern and traditional table formats. ✔️ Innovations from Slack’s female data engineers using Apache Airflow and Kubernetes.   Get all the details in the blog: https://lnkd.in/er-3cbxH   #MLOps #AI #MachineLearning #TechNews

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The No1 MOST EFFECTIVE way to improve your IT projects.... After nearly a decade of working the freelance market in Austria, I have seen the positive impact it can have for both start ups and fortune 500 companies! The ability to onboard and offboard Developers, Engineers, Business Analysts and Project managers at speed, allows project deadlines to be hit time after time! Here are some benefits of using freelancers you need to consider for your next project... 🚀 Agile Expertise: Freelancers bring diverse talents to the table, perfect for niche projects and tight deadlines. 💡 Innovation Injection: Collaborating with freelancers means fresh ideas and efficient problem-solving. 💰 Cost-Efficiency: Freelancers offer top-tier work without the long-term costs. ⏳ Time-Sensitive Results: Experience quicker turnarounds without compromising quality. 🌐 Local Network: Access top talents from Austria, Germany and Switzerland, enhancing your business capabilities. Looking for freelancers in Austria? Reach out to me at [email protected] to discuss how we can help! 🤝

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𝗘𝘅𝗰𝗶𝘁𝗶𝗻𝗴 𝗡𝗲𝘄𝘀 𝘄𝗶𝘁𝗵𝗶𝗻 𝘁𝗵𝗲 𝗟𝗮𝗿𝗴𝗲 𝗟𝗮𝗻𝗴𝘂𝗮𝗴𝗲 𝗠𝗼𝗱𝗲𝗹𝘀 (𝗟𝗟𝗠𝘀) 𝗦𝗽𝗮𝗰𝗲! PyTorch has officially released TorchTune, a new tool designed to fine-tune Large Language Models (LLMs) with ease and efficiency. This groundbreaking tool promises to streamline the fine-tuning process, making it more accessible to researchers and practitioners alike. https://lnkd.in/eMf6dNZJ 𝗧𝗼𝗿𝗰𝗵𝘁𝘂𝗻𝗲 𝗢𝗳𝗳𝗲𝗿𝘀: ▪ 𝗣𝘆𝗧𝗼𝗿𝗰𝗵-𝗻𝗮𝘁𝗶𝘃𝗲 𝗟𝗟𝗠 𝗶𝗺𝗽𝗹𝗲𝗺𝗲𝗻𝘁𝗮𝘁𝗶𝗼𝗻𝘀: Build on familiar ground with composable building blocks for popular LLMs. ️ ▪ 𝗠𝗲𝗺𝗼𝗿𝘆-𝗲𝗳𝗳𝗶𝗰𝗶𝗲𝗻𝘁 𝗳𝗶𝗻𝗲-𝘁𝘂𝗻𝗶𝗻𝗴 𝗿𝗲𝗰𝗶𝗽𝗲𝘀: Train on consumer-grade GPUs with 24GB VRAM – no beefy machines needed! ▪ 𝗘𝘅𝘁𝗲𝗻𝘀𝗶𝗯𝗶𝗹𝗶𝘁𝘆 𝗮𝗻𝗱 𝗲𝗮𝘀𝗲 𝗼𝗳 𝘂𝘀𝗲:  YAML configs and support for common dataset formats streamline your workflow. 𝗙𝗼𝗿 𝘁𝗵𝗼𝘀𝗲 𝗶𝗻𝘁𝗲𝗿𝗲𝘀𝘁𝗲𝗱 𝗶𝗻 𝗱𝗶𝘃𝗶𝗻𝗴 𝗱𝗲𝗲𝗽𝗲𝗿, 𝗵𝗲𝗿𝗲 𝗮𝗿𝗲 𝘀𝗼𝗺𝗲 𝗿𝗲𝘀𝗼𝘂𝗿𝗰𝗲𝘀: Code: https://lnkd.in/gEgETe5t Blog: https://lnkd.in/gP3mctA6 Tutorials: https://lnkd.in/gvh2eEsU This is a fantastic opportunity to explore and innovate, I'd be very interested in hearing your thoughts. ▪ 𝗪𝗵𝗮𝘁’𝘀 𝘆𝗼𝘂𝗿 𝘁𝗮𝗸𝗲 𝗼𝗻 𝘁𝗵𝗶𝘀?  ▪ 𝗛𝗼𝘄 𝗱𝗼 𝘆𝗼𝘂 𝘀𝗲𝗲 𝗧𝗼𝗿𝗰𝗵𝗧𝘂𝗻𝗲 𝗶𝗺𝗽𝗮𝗰𝘁𝗶𝗻𝗴 𝘆𝗼𝘂𝗿 𝗰𝘂𝗿𝗿𝗲𝗻𝘁 𝗽𝗿𝗼𝗷𝗲𝗰𝘁𝘀 𝗼𝗿 𝗿𝗲𝘀𝗲𝗮𝗿𝗰𝗵? ▪ 𝗛𝗼𝘄 𝗱𝗼 𝘆𝗼𝘂 𝘁𝗵𝗶𝗻𝗸 𝗧𝗼𝗿𝗰𝗵𝗧𝘂𝗻𝗲 𝘄𝗶𝗹𝗹 𝗶𝗺𝗽𝗮𝗰𝘁 𝘁𝗵𝗲 𝗳𝘂𝘁𝘂𝗿𝗲 𝗼𝗳 𝗺𝗮𝗰𝗵𝗶𝗻𝗲 𝗹𝗲𝗮𝗿𝗻𝗶𝗻𝗴 𝗮𝗻𝗱 𝗔𝗜 𝗱𝗲𝘃𝗲𝗹𝗼𝗽𝗺𝗲𝗻𝘁? #AI #PyTorch #TorchTune #LLMs #MachineLearning

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💢 AI Nowadays, we see lot of companies are using AI tools and strategies for the company growth and connectivity. The benefits and risks of a rapidly emerging AI use case: AI-assisted software development. We also learn why and how organizations should start planning for the future of AI. AI can automatically perform various development tasks, ranging from answering basic questions to automatically writing code to automatically designing UIs. These capabilities can speed up time to market, lower development costs, and enable companies to do more with a lower headcount. GenAI’s ability to automate the creation code eliminates the need for developers to write simple, repetitive code. Improving the developer experience reduces the risk of burnout or employee turnover if developers grow bored with these tasks 💥 How AI can be used in Staffing and Recruitment. Using AI we can send mails and portfolio- where we send our company private information, values and the what the collaboration is about. By using AI not only one it modifies the information according to the client's domain and send it rapidly. It also segregates according to our priority. Should this be something we can invest in? for a rapid growth. Let me know your thoughts! #AI #AIinstaffing

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Insightful post by Heather Couture, PhD on dataset size and quality of the dataset. Thanks for sharing Heather 🙂 #RemoteSensing #EarthObservation #MachineLearning #DeepLearning #ComputerVision

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The Future of AI Talent in 2025! By 2025, the demand for AI expertise will skyrocket as more companies turn to AI-driven solutions. So, what roles will be in high demand? 💻 AI/Machine Learning Engineers Key Skills: Python, Java, R, ML frameworks (TensorFlow, PyTorch), deep learning, reinforcement learning. Role: Optimize models for real-time analytics, autonomous systems, and predictive analytics. 📊 Data Scientists Key Skills: Data mining, statistical analysis, ML, data visualization, and programming. Role: Derive insights from data and train AI models to drive business outcomes. 🔬 AI Research Scientists Key Skills: Deep learning, NLP, computer vision, algorithms. Role: Develop new algorithms and architectures. ⚖️ AI Ethicists Key Skills: AI ethics, bias detection, regulation, transparency. Role: Ensure AI is developed ethically and aligns with societal standards. 🤖 NLP Specialists Key Skills: Language models, speech recognition, LLMs. Role: Build NLP applications for chatbots, automation, and content creation. 🚀 AI Ops & DevOps Engineers Key Skills: MLOps, cloud computing, Docker, Kubernetes. Role: Deploy and manage scalable AI systems for production. These roles and more will shape the future of AI—does your company have them ready? #AI #MachineLearning #AIethics #DataScience #FutureOfWork

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Some new exciting roles

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Python 🐍 vs 🦀 Rust - A Pydantic-Powered Collaboration 📆 date: Tuesday 22nd October ⌚ time: 6pm - 9pm 📍where: London Make sure you register to book your place via the London Python meetup page (link in the comments) for this event next week. We will have 3 talks catering for beginner to expert level and a panel discussion. I'm really looking forwards to this event and hope to see lots of our Python Community friends there! #Python #Rust #Django #PythonDeveloper #DjangoDeveloper #PythonMeetup #PythonLondon #DjangoLondon

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