11 of 11 Remote Part-Time Azure Machine Learning Jobs

Machine Learning Engineer – SaaS - London (Tech stack: Machine Learning Engineer, Python, TensorFlow, PyTorch, scikit-learn, Keras, Natural Language Processing (NLP), Hugging Face Transformers, Pandas, NumPy, Jupyter Notebooks, Matplotlib, Seaborn, Flask (for building APIs), FastAPI, Docker, MLflow, DVC (Data Version Control), AWS SageMaker … Azure Machine Learning, Google Cloud AI Platform, TensorFlow Serving, ONNX (Open Neural Network Exchange) We have several exciting new positions available for Machine Learning Engineers to join a forward-thinking AI company. This is your opportunity to collaborate with … reshaping the landscape of AI, offering innovative models that exceed current industry benchmarks. Come aboard our team and help shape the future of machine learning and AI. Our client is looking for passionate Machine Learning Engineer candidates with experience in some or More ❯

Factory (ADF) pipelines, working with SQL Server (designing and populating data schemas), Azure Data Lake, and Power BI, and integrating machine learning and AI models into our data processes. Experience with Azure Synapse Analytics is beneficial as we explore future … performance. ETL Development: Skilled in designing and optimising ETL workflows, with knowledge of best practices for data transformation, validation, and loading. Data Analytics & Machine Learning Power BI: Proficiency in developing, publishing, and managing Power BI reports and dashboards, with strong data visualisation skills. SQL & Data Management … Advanced knowledge of SQL for querying, transforming, and managing data, with hands-on experience in SQL Management Studio. Azure Machine Learning: Some experience desirable in implementing machine learning models within Azure Machine Learning More ❯

Contract Machine Learning Engineer - Remote (UK-Based) - £550-£700/day (Outside IR35) Location: Remote (UK-based candidates only) Contract Length: 6 months, with strong potential for extension Day Rate: £550-£700 per day (Outside IR35) Start Date: ASAP or within 4 weeks A leading technology … consultancy is seeking an experienced Contract Machine Learning Engineer to support a consultancy who are working on a Data Science proof of concept. This role is fully remote (within the UK) and offers the opportunity to work on impactful machine learning projects … from initial development through to deployment. Responsibilities: Develop and deploy scalable machine learning models into production environments Build and maintain robust ML pipelines using modern cloud and MLOps tooling Collaborate with data scientists, engineers, and stakeholders to deliver end-to-end solutions Implement testing, monitoring, and More ❯

Machine Learning Engineer Remote with Travel Are you an experienced Machine Learning Engineer looking to work on cutting edge cloud projects for prestigious clients? This organisation has experienced continually strong growth since founding, and this exciting role would see the successful candidate … Opportunities for career development and progression within the company and support for this Bonus About the role As a mid-to-senior level Machine Learning Engineer, you will be involved in creating ML models to be deployed in the cloud and supporting the Data Engineering, DataOps … grounding in ML approaches, techniques and frameworks Python, Pandas, Tensor Flow, Scikit-learn, Numpy, SciPy Experience deploying to the cloud and working with Azure (Azure DevOps, Azure ML, Azure SQL, ADF etc.) Able to work with databases like More ❯

to deliver Data Science solutions Promote excellence and innovation in data science methods for measuring the quality of health and social care services, learning from best practice (national/international), both internally and externally. Assess the effectiveness of different advanced statistical and data science modelling approaches and advise … graduate qualification in relevant subject or has equivalent professional experience. In-depth understanding of a wide range of data science techniques, such as machine learning and natural language processing, and able to apply them to a variety of analytic problems. Previous experience in delivery of complex … Experience of cloud computing - Cloud Computing – Azure, AWS or GCP Substantial experience working in cloud-based tools like Databricks for Machine Learning, Azure Machine Learning and Azure AI Foundry as well as experience More ❯

will lead strategic data initiatives aimed at optimising customer engagement, pricing, and inventory management across our retail operations. Key Responsibilities: Develop and deploy machine learning models to support business objectives (e.g., customer segmentation, demand forecasting, price optimisation). Conduct deep-dive analyses on customer behaviour, sales … and data visualisation tools (e.g., Power BI, Tableau). Hands-on experience with cloud platforms such as AWS, GCP, or Azure. Expertise in machine learning, statistical modeling, and predictive analytics. Excellent communication and stakeholder management skills. Desirable: Experience working with large-scale retail datasets (e.g., POS More ❯

you will own the AI discipline within Hypercube. That means setting best practice, evolving our technical guard‑rails, shaping packaged offerings and guiding learning pathways for every AI practitioner in the business. You’ll split your time roughly 40 % billable (hands‑on technical oversight) and 60 % leadership, R … guard‑rails and reference architectures; keep us ahead of the curve in GenAI, LLMOps and MLOps Practice Building - Design the end‑to‑end learning journey for AI engineers, data scientists, and machine learning engineers; mentor and line‑manage; lead hiring interviews for your discipline … tuning foundation‑model solutions; RAG patterns; prompt‑engineering & evaluation MLOps/LLMOps: CI/CD for models, feature stores, experiment tracking (MLflow, SageMaker, Azure ML, Vertex, etc.) Cloud‑Native Delivery: Building scalable AI pipelines on AWS or Azure; Terraform/IaC familiarity Python Excellence More ❯

with the pragmatism to deliver high-impact solutions. Experience of understanding of modern tech like Cursor AI, LLMs (ChatGPT, Groq or similar) and Azure ML is a bonus. Communication : Fluent in written and oral English. Role Overview : Head of Artificial Intelligence Technology Team: This team will be More ❯

world tech delivery experience and a passion for doing things better Bonus Points If You Also Bring: Formal certification in cloud (AWS, GCP, Azure) or AI/ML (e.g. Google ML certs) Experience with agile or scaled agile delivery models Familiarity with controls-by-design, engineering governance More ❯

the ground up – clean slate. Big purpose: Your work directly improves access to information for underserved communities. Modern stack: Microservices, Python, FastAPI, React, Azure, AI/ML – all in play. Ownership: Shape the architecture and engineering culture from day one. Hybrid freedom: Mostly remote, with occasional travel … in cross-functional teams Tech You’ll Work With ML & Data Science Python (primary language) TensorFlow, PyTorch, or Keras NumPy, pandas Data pipelines (Azure Data Factory, Airflow, etc.) Applied ML: NLP, CV, transformers, GANs, time series, etc. Engineering & Cloud Azure (or similar cloud platforms … AWS, GCP) Microservices and event-driven architecture Infrastructure as Code (Terraform, Bicep, Pulumi) DevOps/MLOps: CI/CD workflows, monitoring (Grafana, Prometheus, Azure Monitor) Bonus: Exposure to NVIDIA ML stack, cuDF/cuPy, AR/VR or neuromorphic computing What You’ll Get Competitive salary + More ❯

people dedicated to reimagining how people tell stories. About the role Skills : Python, FastAPI, NextJS, React, TypeScript, Cloud Infrastructure (GCP/AWS/Azure), AI/ML frameworks We've built a RAG-based AI platform that's revolutionizing how people create presentations, but our success is … LLM and ML services for generating creative content (images, infographics, icons, text) Build and improve scalable infrastructure with microservices on GCP, AWS, and Azure Participate in code reviews and help maintain high code quality Collaborate in product planning and technical discussions Qualifications 5+ years experience as a … experience in fast-paced startup environments Tech Stack Frontend: NextJS, Zustand, Tailwind, Prisma Backend: Python, FastAPI, Llama Index Database: PostgreSQL, PGVector LLMs & AI: Azure OpenAI, Google Gemini Flash, Replica DevOps: GitHub Actions, Checkly, Docker Compose, Azure, GCP, AWS Benefits Competitive salary: $80k-$120k based More ❯