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We are seeking a highly skilled AI Prompt Engineer to join our innovative team at D50 AI. You will be responsible for designing, testing, and refining prompts for various AI models to achieve optimal and desired outcomes. This role requires a deep understanding of natural language processing, machine learning principles, and creative problem-solving.We are seeking a highly skilled AI Prompt Engineer to join our innovative team at D50 AI. You will be responsible for designing, testing, and refining prompts for various AI models to achieve optimal and desired outcomes. This role requires a deep understanding of natural language processing, machine learning principles, and creative problem-solving.RequirementsProven experience in prompt engineering or related AI/ML roles. Strong understanding of large language models (LLMs) and their capabilities. Excellent analytical and problem-solving skills. Ability to work independently and collaboratively in a fast-paced environment.Proven experience in prompt engineering or related AI/ML roles. Strong understanding of large language models (LLMs) and their capabilities. Excellent analytical and problem-solving skills. Ability to work independently and collaboratively in a fast-paced environment.BenefitsCompetitive salary, flexible working hours, opportunities for professional development, cutting-edge AI tools and technologies, dynamic and supportive team environment.Competitive salary, flexible working hours, opportunities for professional development, cutting-edge AI tools and technologies, dynamic and supportive team environment. Show more Show less

About UsAt Dyson, we’re driven by a relentless pursuit of innovation—pushing boundaries in engineering, AI, and robotics. Our new Data Intelligence team sits at the heart of this mission: shaping Dyson’s future through data. Here, we blend creativity, precision, and audacity to power intelligent products. We craft data strategies and pipelines that fuel the next generation of connected devices.You’ll work alongside brilliant minds from Dyson global engineering team and external software/hardware partners in an environment built for exploration, discovery, delivery and impact.About the role We are looking for a specialized Data Intelligence Machine Learning Engineer to design and implement in-house tools that automate our data labelling pipelines. Your primary goal will be to reduce our reliance on manual annotation by leveraging techniques like Active Learning, Weak Supervision, and Synthetic Data Generation. You will bridge the gap between raw data collection and model-ready datasets, ensuring high-quality labels at scale. Key ResponsibilitiesArchitect Labelling Pipelines: Design and deploy end-to-end automated labelling systems using frameworks like Snorkel, Cleanlab, or custom active learning loops.Develop "Human-in-the-Loop" (HITL) Systems: Build interfaces and workflows where models pre-label data and humans only intervene on high-uncertainty samples.Quality Assurance & Denoising: Implement algorithmic checks to identify and correct mislabelled or "noisy" data within existing datasets.Tooling & Integration: Collaborate with software engineers to integrate labelling tools with our existing data lakes and ML training infrastructure.Model Optimization: Fine-tune "teacher" models to generate high-quality pseudo-labels for "student" models.Set up and maintain robust data preparation infrastructure—optimising for data quality, speed, and seamless integration with downstream MLOps pipelines.Perform data visualization and in-depth analysis using advanced data and feature engineering techniques. You’ll help transform raw data into actionable insight, supporting both research and deployment.Work closely with Data Scientists, Software Engineers, and Product teams to ensure high data quality and usability across products and projects.About youAt least 3+ years of professional experience in Machine Learning engineering, specifically focused on data centric-AI or computer vision/NLP pipelines.Proficiency in Python: Mastery of the Machine Learning stack (PyTorch or TensorFlow, NumPy, Pandas, Scikit-learn).Automated Labelling Expertise: Proven experience with Weak Supervision (labelling functions) or Active Learning strategies (uncertainty sampling, diversity sampling).Data Engineering: Experience with SQL and NoSQL databases, and managing large-scale unstructured data (images, text, or audio).Cloud Infrastructure: Familiarity with AWS (SageMaker Ground Truth), GCP (Vertex AI), or Azure ML labelling services.Version Control for Data: Experience with DVC (Data Version Control) or similar tools to track dataset iterations.Hands-on expertise building auto-labelling solutions or working with large-scale data annotation workflows.Advanced skills in Python (and/or other relevant languages), and experience with key ML/data science libraries (e.g. TensorFlow, PyTorch, scikit-learn, pandas).Experience designing, deploying, and maintaining scalable data pipelines, including data cleansing, transformation, and storage (cloud, on-prem, or hybrid).Strong background in feature engineering, data analysis, and data visualization—comfortable using tools like Jupyter, Tableau, or Power BI.Great communicator who documents solutions clearly and collaborates effortlessly across technical and non-technical teams.Able to balance speed and quality, stay curious about new developments, and deliver results in a fast-moving environment.Bachelor’s or Master's degree in computer science, Engineering, Mathematics, Data Science, or a related field.Dyson is an equal opportunity employer. We know that great minds don’t think alike, and it takes all kinds of minds to make our technology so unique. We welcome applications from all backgrounds and employment decisions are made without regard to race, colour, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other any other dimension of diversity. Show more Show less

BlackStone eIT is seeking a talented and pragmatic AI Engineer (Applied) to join our dynamic team. In this role, you will focus on applying artificial intelligence techniques to solve real-world problems and deliver impactful solutions that drive business value. You will collaborate closely with product teams, data scientists, and software engineers to deploy AI models into production environments and continuously improve their performance.The ideal candidate has hands-on experience with end-to-end AI system development and a strong focus on practical applications and scalability. You will work on diverse projects that require innovative AI solutions, from natural language processing to computer vision and predictive analytics. Data classification automation: implementing automated classification to remediate current failures, embedding classification into data pipelines alongside the Governance Lead Operational AI agents: building production agents on top of the agentic platform — going beyond the sample agents the external partner delivers into real operational workflows Agentic platform data contracts: defining what data the platform needs, in what format, with what quality guarantees — working with the Principal AI Engineer AI service implementation: FastAPI service around LLM APIs with versioned prompt templates Classification and briefing prompts: structured prompts returning validated JSON with tags, confidence levels, source attribution Prompt versioning: templates in configuration, editable without code changes Observability: every LLM call logged with input hash, model version, output, latency, token count Fallback logic: graceful degradation when LLM APIs are unavailable Quality evaluation: running precision/recall evaluations against human reviewer samples, reporting results, iterating promptsRequirements5+ years of experience applying AI and machine learning techniques in a production environmentStrong proficiency in programming languages such as Python and familiarity with AI/ML frameworks like TensorFlow, PyTorch, or Scikit-learnExperience with deploying and maintaining AI models at scaleGood understanding of data preprocessing, feature engineering, and model evaluationBackground in statistics, mathematics, or computer scienceAbility to collaborate effectively with cross-functional teams and translate business needs into applied AI solutionsExcellent problem-solving skills and a practical, solution-oriented mindsetExperience with cloud platforms (AWS, GCP, Azure) and MLOps practices is a plusBachelor's or Master's degree in a relevant field such as Computer Science, Data Science, or AI- LLM APIs (Claude, GPT-4, open-weight models) — structured output, JSON mode, system prompts- Prompt engineering for classification — zero-shot and few-shot- Python — async API calls, retry logic, exponential backoff- LLM evaluation — precision/recall, human-AI agreement scoring- Structured output — JSON schema enforcement, Pydantic validation- Open-weight / sovereign model APIs (Falcon, Llama, or equivalent)- Token budgeting and context window management- AI observability — output quality monitoring, anomaly detection- FastAPI and DockerBenefitsPaid Time OffPerformance BonusTraining & Development Show more Show less

🚨 We’re hiring: Head of Digital & AI (Abu Dhabi) 🚨This is not a standard leadership role.We’re looking for a senior, heavyweight operator who can own enterprise-wide digital and AI transformation end-to-end.This role sits at the intersection of:Enterprise systems (ERP, HR, finance, operations)AI strategy, productization & deliveryGovernance, risk, and value realization at scale👉 You will be responsible for taking a large organization from systems-led → product-led → AI-enabled.🔍 What we’re looking forThis requires someone who has:✔ 15+ years' experience leading complex digital transformation programs ✔ Proven ownership of enterprise platforms + AI initiatives at scale ✔ Experience designing and running target operating models (interface, delivery, run) ✔ Strong track record managing vendors, partners, and large delivery ecosystems ✔ Ability to operate at board level while still driving executionYou will:Own AI portfolio, governance, and investment decisionsDrive enterprise-wide operating model transformationEnsure AI moves from POC → production → measurable business valueLead internal capability build while managing external delivery partnersBe accountable for real outcomes, not just roadmapsWe’re looking for someone who is:A true enterprise leader, not just a functional headComfortable in highly regulated / complex environmentsAble to balance control, governance, and innovationProven in delivering large-scale AI and digital programmes💬 If you’re currently operating at:Head of / Director / VP levelAnd have led AI transformation at scale📩 Please apply on the posting Show more Show less

We are seeking an AI Developer with a strong background in Python, MLOps, Machine Learning (NLP). In this role, you will design and build end-to-end AI solutions—from data ingestion and model training to deployment and monitoring—with a special focus on leveraging large language models (LLMs) and developing agentic AI capabilities.Experience7+ years in AI/ML development, data science, or related roles with a proven record of contributing to production-ready AI/ML projects.Technical Skills Proficient in Python, including libraries such as NumPy, Pandas, scikit-learn, TensorFlow, and PyTorch. Experience with containerization (Docker) and orchestration (Kubernetes/OpenShift). Familiarity with GPU acceleration (e.g., NVIDIA CUDA). Exposure to MLOps tools for continuous integration and deployment. Strong understanding of data engineering concepts (ETL, data pipelines, data preparation). Demonstrated experience working with LLMs and natural language processing frameworks, as well as an interest in agentic AI.Soft Skills Excellent problem-solving and analytical skills focused on developing scalable and maintainable solutions. Strong communication and collaboration abilities to work effectively with cross-functional teams. Capability to articulate complex AI/ML concepts, especially regarding LLMs and autonomous systems, to diverse audiences. Show more Show less

Role: Data Scientist (Remote)Location: RemotePayout: $59 - $114/hourRole OverviewWe are hiring a Data Scientist to turn data into decisions. In this role, you will run experiments, build models, and partner with product and leadership to drive business outcomes. The ideal candidate has strong statistical fundamentals, a pragmatic approach to modeling, and clear communication skills.Key Responsibilities- Design and analyze experiments, A/B tests, and causal studies.- Build predictive models including regression, classification, forecasting, and ranking.- Evaluate AI and LLM output quality using structured methodologies.- Partner with product and leadership on data-driven decisions.- Communicate findings through dashboards, documents, and presentations.- Define and monitor key business metrics.Required Skills & Qualifications- 2+ years as a data scientist, quantitative analyst, or ML practitioner.- Strong Python (Pandas, NumPy, scikit-learn) and SQL.- Statistical fundamentals: hypothesis testing, experimental design, power analysis.- Ability to explain technical concepts to non-technical stakeholders.- Analytical rigor and curiosity.- Experience with data visualization.Preferred Qualifications- Deep learning experience (PyTorch, TensorFlow, Hugging Face).- LLM evaluation frameworks (DeepEval, RAGAS, LangSmith).- Causal inference (DoWhy, EconML) or Bayesian methods.- BI tools such as Tableau, Looker, or Power BI.- Experience with R, Stata, or MATLAB.What We Offer- Remote and flexible work environment.- Contract and full-time options available.- Data-rich problem space with real business impact.- Collaborative and analytics-driven team culture.- Learning opportunities across modern data and ML tools.Equal Opportunity EmployerWe hire based on skills and expertise. All qualified candidates are welcome regardless of background, experience, or prior employment history. Applications are reviewed solely on demonstrated technical ability and qualifications. Show more Show less