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<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>A confidential AI-driven technology company serving international clients across the UK, Europe, the US, and the GCC/MENA region is hiring an AI Engineer.</p><p>Responsibilities:</p><ul><li>Design, develop, and deploy AI/ML models and intelligent systems</li><li>Integrate AI capabilities into existing platforms and workflows</li><li>Build and maintain data pipelines and model training infrastructure</li><li>Collaborate with engineering teams to deliver production-ready AI solutions</li><li>Monitor and optimize model performance in live environments</li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li>1+ years of experience in AI/ML engineering</li><li>Proficiency in Python and core ML frameworks (TensorFlow, PyTorch, or scikit-learn)</li><li>Experience with LLMs, NLP, or computer vision is a strong plus</li><li>Familiarity with MLOps practices and cloud platforms (AWS, GCP, or Azure)</li><li>Strong problem-solving skills and ability to work in remote, agile teams</li><li>English proficiency required</li></ul><p></p></section>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p>A confidential AI-driven technology company serving international clients across the UK, Europe, the US, and the GCC/MENA region is hiring an AI Engineer.</p><p>Responsibilities:</p><ul><li>Design, develop, and deploy AI/ML models and intelligent systems</li><li>Integrate AI capabilities into existing platforms and workflows</li><li>Build and maintain data pipelines and model training infrastructure</li><li>Collaborate with engineering teams to deliver production-ready AI solutions</li><li>Monitor and optimize model performance in live environments</li></ul><p>Requirements:</p><ul><li>1+ years of experience in AI/ML engineering</li><li>Proficiency in Python and core ML frameworks (TensorFlow, PyTorch, or scikit-learn)</li><li>Experience with LLMs, NLP, or computer vision is a strong plus</li><li>Familiarity with MLOps practices and cloud platforms (AWS, GCP, or Azure)</li><li>Strong problem-solving skills and ability to work in remote, agile teams</li><li>English proficiency required (Arabic is a plus)</li></ul><p><br></p> </div><h2 class="h5">Skills</h2> <div data-jb-field="skills"><p>LangChain, OpenAI API, Hugging Face, Docker, Kubernetes, Data Engineering, Computer Vision</p></div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span><b><span>Our Opportunity</span></b> <br><br>We are seeking a talented AI Engineer to join our team. You will be responsible for applying the latest techniques to build and deploy enterprise machine learning models across multiple domains. As a highly capable Research and Development Engineer, you will be passionate about data science and machine learning and driven to make an impact.<br><br><b><span>To Be Successful in The Role You Will Need</span></b><br><br>To possess many but not necessarily all the below:<br><br></span><ul><li><span>A master’s degree in a STEM subject or equivalent practical experience.<br></span></li><li><span>3+ years of industrial experience in the areas of machine learning, computer vision, natural language processing, or data mining.<br></span></li><li><span>Fluency in Python development, backed by practical experience using machine learning libraries like pandas, PySpark, NumPy, SciPy, scikit-learn, Keras, PyTorch, TensorFlow, or equivalent.<br></span></li><li><span>Hands-on experience with advanced NLP techniques such as BERT, transformers, and others.<br></span></li><li><span>Proficiency in using modern search libraries (preferably Elasticsearch).<br></span></li><li><span>Technical experience in deploying cloud-native solutions (AWS, Azure, GCP).<br></span></li><li><span>Practical experience in MLOps with a proven record of maintaining and supporting your models in production environments.<br></span></li><li><span>A demonstrated ability to exercise technical judgment in solving complex challenges.<br></span></li><li><span>Ability to function as an influential member of a highly integrated team composed of both technical and non-technical members.<br></span></li></ul>Siren is an equal opportunity employer. At Siren we value ethics, dedication, sustainability, safeguarding, respect, and inclusion. <br><br>Are you interested to work with our dedicated team on impactful projects? We welcome applications from all qualified candidates, regardless of background. Do apply!<br><br><br><br> </div>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><div><span >R<b>ole Summary</b></span></div><div><span >Build product features end‑to‑end across web and mobile, and deliver practical AI</span></div><div><span >capabilities. You’ll ship modern UIs (React/Next.js) and scalable APIs (Node.js/Python),</span></div><div><span >integrate with ERP/CRM . On mobile, you’ll craft performant apps (React Native or Flutter)</span></div><div><span >with offline sync, secure auth, and telemetry—plus collaborate on edge/on‑device AI where</span></div><div><span >useful.</span></div><div><span ><b>Key Responsibilitie</b>s</span></div><div><span >• Full‑Stack Web (≈40%)</span></div><div><span >• Implement user stories on frontend (React/Next.js, TypeScript) and backend</span></div><div><span >(Node.js/Express or Python/FastAPI).</span></div><div><span >• Design and consume REST/GraphQL APIs; model data in SQL Server/PostgreSQL;</span></div><div><span >write optimized queries.</span></div><div><span >• Integrate with internal systems (Business Central/NAV, CRM, SSO/Entra ID) and</span></div><div><span >shared services (logging/monitoring).</span></div><div><span >• Containerize with Docker; deploy to Azure/AWS; add basic automated tests and CI</span></div><div><span >pipelines (GitHub/GitLab).</span></div><div><span >• Document features, create runbooks, and support production rollouts.</span></div><div><span >• Mobile Applications (≈30%)</span></div><div><span >• Build and maintain cross‑platform mobile apps using React Native (preferred) or</span></div><div><span >Flutter.</span></div><div><span >• Implement secure auth (MSAL/Entra ID, OAuth2/OIDC), push notifications, deep</span></div><div><span >links, and role‑based access.</span></div><div><span >• Handle offline‑first flows (local storage, background sync, conflict resolution) and</span></div><div><span >responsive UI/UX.</span></div><div><span >• Set up release pipelines for Android/iOS (store listings, signing, versioning) and</span></div><div><span >in‑app analytics/crash reporting.</span></div><div><span >• Work with device capabilities (camera, files, GPS) and enforce permissions/privacy</span></div><div><span >best practices.</span></div><div><span >• Applied AI (≈30%)</span></div><div><span >• Ship AI features with hosted LLMs (OpenAI/Azure OpenAI) using prompt templates,</span></div><div><span >tools/functions, and guardrails.</span></div><div><span >• Build retrieval basics: document chunking, embeddings, and a vector store</span></div><div><span >• Evaluate and monitor accuracy/latency/cost; instrument telemetry and iterate via</span></div><div><span >prompt/model versioning.</span></div><div><span >• Collaborate on on‑device/edge AI when appropriate (TensorFlow Lite/Core ML,</span></div><div><span >quantization, model size vs. latency).</span></div><div><span >Tech Stack (You Know Most of These)</span></div><div><span >• Frontend Web: TypeScript, React/Next.js, Tailwind, shadcn/ui.</span></div><div><span >• Backend: Node.js (Express/Nest) or Python (FastAPI); .NET APIs a plus.</span></div><div><span >• Mobile: React Native (preferred) or Flutter; Android Studio/Xcode; Fastlane/EAS;</span></div><div><span >Firebase/App Center/Analytics.</span></div><div><span >• Data: PostgreSQL/SQL Server, Redis; BI (Power BI) is a plus.</span></div><div><span >• AI: OpenAI/Azure OpenAI, embeddings, LangChain/LlamaIndex basics, vector DBs</span></div><div><span >(pgvector/Pinecone/Milvus).</span></div><div><span >• DevOps: Docker, GitHub/GitLab CI, Azure/AWS; basic Kubernetes exposure nice to</span></div><div><span >have.</span></div><div><span >• Security: OWASP, oauth2/oidc, secrets management, PII/GDPR awareness.</span></div><div><span ><b>Qualifications</b></span></div><div><span >• 2–4 years building production apps (web and/or mobile) with modern JS/TS or Python.</span></div><div><span >• Hands‑on experience shipping at least one React Native or Flutter app to production</span></div><div><span >(Android and/or iOS).</span></div><div><span >• Solid understanding of REST APIs, auth flows, and SQL data modeling/performance.</span></div><div><span >• Comfortable with Docker, cloud deploys (Azure/AWS), and CI pipelines.</span></div><div><span >• 6–12 months implementing LLM‑powered features (chat/RAG/tools) OR a strong</span></div><div><span >portfolio showing capability.</span></div><p> </p><div><span >• Clear communicator; disciplined with Git, code reviews, and basic testing (unit/API/UI)</span></div> <div></div></div></section>

<p>Proximie is on a mission to improve healthcare by transforming the world s operating rooms into connected ecosystems of people, devices, and data. Our Intelligence Suite transforms operating room (OR) performance, keeping teams in sync and workflows on track to maximise throughput. Simultaneously our computer vision and AI capabilities capture real-time data and detect surgical events improving quality of data outputs. The result: ORs are optimised like never before with predictive analytics and automated notifications ensuring patients and staff are in the right place at the right time. Once practitioners are in the OR, our Surgical Suite enables real-time remote access and creates a secure video record of every procedure; improving training, education, and collaboration. It is an intuitive asset which helps instil a culture of continuous learning, accelerates the adoption of cutting-edge medical devices, and enhances surgical performance across the entire global workforce improving outcomes and saving lives. Proximie was commercialised in 2019 and is available in over 500 facilities globally. Check out our Founder and CEO Nadine s Origins Story here: https://www.proximie.com/about-us/</p><p>Position Overview As Proximie continues to turn every activity and event in the operating room into comprehensive, structured, and context-rich data that drives better insights and decisions making, using your deep technical expertise and real-world experience you will be instrumental in developing and deploying machine learning solutions that improve clinical outcomes, drive productivity and support Proximie s continuing evolution into the unrivalled champion of the intelligent operating room. You will work with multi-modal data (audio, vision, and language) to curate, consolidate, and augment retrospective and prospective datasets that fuel the development of advanced machine learning solutions. You ll harness the power of Proximie s deep data lakes and apply cutting-edge generative techniques to solve real-world challenges for Proximie s customers. You ll also lead the development of intelligent systems that can automatically detect and capture key events in the operating room, designing robust solutions that work across diverse and unpredictable data distributions, tackling challenges like identifying rare events buried in hours of surgical video. This role demands creativity, precision, and a deep understanding of real-world machine learning at scale. If you re excited by complex problems with life-changing impact and want to build tech that operates in the most critical environments, we d love to hear from you.</p><p>Responsibilities</p><ul><li>Collaborate with product, engineering and commercial teams to develop and deploy AI models for real world application in hospitals all over the world.</li><li>Design, train and validate machine learning mono and multi-modal models using state of the art approaches.</li><li>Develop models and derived tools robust to the heterogeneity of operating room environments. With customers all over the world operating rooms are often different which creates unique opportunities for problem solving and model design.</li><li>Own the full model lifecycle including but not limited to data curation, model implementation, training, validation, deployment, and maintenance.</li><li>Development within Proximie environment to enable dynamic model training and performance evaluation while integrating with Proximie s data lakes.</li><li>Document solutions and contribute to internal knowledge sharing and capability building.</li></ul><p><strong>Desired Candidate Profile</strong></p><ul><li>PhD in a machine learning field such as computer science, data science, engineering, or a related field. Masters considered but PhD preferred.</li><li>Minimum of 4 years hands-on experience in industry, developing and deploying AI solutions which solve real-world problems.</li><li>Expertise in developing, training and fine-tuning machine learning and multi-modal models.</li><li>Experience in training models with data originating from heterogeneous distributions is highly desirable.</li><li>Deep knowledge of a variety of traditional machine learning, deep learning and generative AI methods for both supervised, self-supervised and unsupervised learning with an emphasis on vision.</li><li>Proficiency with deep learning frameworks such as TensorFlow/PyTorch.</li><li>Proficiency with Python and strong software development background.</li><li>Knowledge and experience with AWS is highly desirable.</li><li>Experience with MLOps practices, including versioning, deployment, and monitoring of models highly desirable.</li><li>Ability to communicate complex technical concepts clearly to non-technical stakeholders.</li></ul><p>Why Work for Proximie?</p><ul><li>You will be encouraged to grow in your role, take ownership and gain responsibilities.</li><li>Proximie s values are Ownership, Deliver Results, Build Trust and Go Beyond.</li><li>Generous annual leave.</li><li>Two well-being days per year plus the day off for your birthday.</li><li>Summer Fridays early office closing on Fridays during summer months.</li><li>Annual bonus programme based on individual contribution.</li><li>To support your professional growth, all permanent employees will have access to an annual stipend of $1,000 to assist with personal development activities.</li><li>Flexible working hours - we trust our people to manage their time and to focus on wider results.</li><li>A flat organizational structure where every opinion matters, ideas are cultivated, and innovation is encouraged.</li><li>Proximie is a truly global company with teams across the UK, Europe, United States and the Middle East with that you will have opportunities to see the world.</li><li>Proximie is an equal opportunity employer. We are committed to providing a work environment that supports, inspires, and respects all individuals. We do not discriminate on the basis of race, colour, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, veteran status, or any other status protected under the law.</li></ul>