20 of 20 Part-Time Azure Machine Learning Jobs in the UK

have active DV Clearance Up to £85k DoE plus bonuses and benefits 3 days on site per week in Cheltenham Skills required in Machine Learning, AWS/Azure, Python, NLP, AI Who are we? We are recruiting a Data Scientist with DV Clearance … of the Defence and Security sector for AI & Data transformation opportunities Key Skills and Requirements Essential: Active DV Clearance Applying data science or machine learning in Defence/Security, public sector, or academia Proficiency in various machine learning architectures and models Methodical … problem-solving skills Effective communication of complex technical concepts to diverse audiences Client relationship management abilities Desirable: Cloud-based Data Science and Machine Learning services (AWS, Azure, GCP) Familiarity with Python libraries for data management, statistics, machine learning, and 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 ❯

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 ❯

Month Contract (Somerset, Hybrid) 📍 Location: Commutable from Bristol (Somerset) - Hybrid ⏳ Contract: 12 Months 💰 Day Rate: Competitive - Inside IR35 🏢 Industry: Government Defence | Data | AI & Machine Learning 🔐 Security Clearance: Active SC clearance preferred but not essential—candidates must be eligible for clearance . The Opportunity Our client, a … and data science strategy. This high-impact role will lead a team of data scientists and work closely with senior stakeholders to operationalise machine learning , enhance automation, and ensure responsible AI governance. This is an exciting opportunity to shape the future of AI and data science … date with industry advancements and emerging AI applications. 🔹 Collaborate with external partners, including other government agencies and industry bodies. 🔹 Provide technical leadership on machine learning deployment, MLOps, and model performance monitoring . Key Requirements ✅ Expertise in Data Science & Machine Learning , including supervised More ❯

Data Scientist – AI & Machine Learning | Azure | London | Contract | Hybrid (3 Days Onsite) We’re hiring a Data Scientist on a contract basis to join our Digital Capabilities and Core Platform team in London. You’ll play a key role in driving the migration … of Java applications to the Azure Cloud while delivering high-performance streaming solutions using machine learning and big data technologies. This is a hybrid contract position running until the end of the year , requiring 3 days per week onsite in London and … to develop scalable, cloud-based solutions. What You’ll Bring: Solid experience in Python, SQL, and statistical data analysis. Proven track record in machine learning and NLP. Familiarity with Azure AI & ML, MLOps workflows, and model deployment. Strong communication and problem-solving skills. More ❯

decision-making across the organisation. Collaborate with data engineering teams to ensure seamless data integration and high-quality data pipelines. Apply AI and machine learning models to surface predictive insights, detect anomalies, and identify optimisation opportunities within financial and operational datasets. Required Skills and Experience: Minimum … in Power BI, including DAX, Power Query (M), and Modelling. Experience using AI/ML tools such as Python, Azure Machine Learning, or AutoML platforms. Strong ability to engage with stakeholders, gathering requirements and translating them into effective technical solutions. Excellent communication skills … automation tools such as Power Automate or Logic Apps. Preferred Qualifications: Experience integrating financial, cloud, and operational data from multiple systems. Familiarity with Azure Data Factory, SQL Server, or similar ETL platforms. FinOps Certified Practitioner certification More ❯

are looking for experience in the following skills and experience: AI/ML platform technologies and services such as Sagemaker/Vertex/Azure ML, OpenAI, Langchain, AutoML, OCR, STT, feature stores, vector DB Implementation of AI/ML architectural patterns and best practices e.g. data drift … networking, security, storage, monitoring, scaling, DR/HA) on one or more cloud platforms SW Engineering and DevSecOps Set yourself apart: Certified cloud Machine Learning (e.g., AWS Certified Machine Learning – Specialty). Building PoCs to aid learning Experience of delivering More ❯

We’re looking for a Senior or Lead Machine Learning Engineer to join a growing data science team, focused on delivering production-ready ML solutions and building reliable cloud infrastructure on Azure. Responsibilities: Lead ML projects from design to production deployment Build and manage data pipelines … and cloud-based infrastructure Deploy and monitor data science models in Azure environments Improve CI/CD pipelines and model monitoring frameworks Mentor junior engineers and collaborate across data and IT teams Write clean, high-quality, testable code and participate in code reviews Skills & Experience: Strong Python … expertise (Pandas, scikit-learn) and solid SQL skills Hands-on experience with Azure services (VMs, Web Apps, Storage, Azure ML) Knowledge of DevOps tools: GitHub Actions, Terraform, Docker, Kubernetes, Airflow Understanding of software engineering best practices and cloud security Exposure to ML model lifecycle 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 ❯

to achieving the strategic business objectives. You will have the chance to dive into cutting edge tech including Azure, AI, Machine Learning, and more. As Lead Developer, you will be working across multiple application stacks providing expertise in selecting new technologies, maintaining existing 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 ❯

databases. Strong problem-solving, communication, and leadership skills. Preferred Skills: Experience with cloud platforms (e.g., AWS, Azure). Knowledge of machine learning techniques. Understanding of FX markets and instruments. Experience in end-to-end data product lifecycle management. This is a fantastic opportunity 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 ❯

are seeking a talented and passionate Software Engineering Manager to lead their high-performing engineering team. This team comprises skilled engineers, including Software, Machine Learning, and Domain experts, who are responsible for the innovation and development of their cutting-edge product. This is a fantastic opportunity … team members by leveraging individual strengths. Experienced in collaborating with diverse stakeholders. Proficient in: Java/C#, Spring, JavaScript, Elasticsearch, cloud computing (AWS, Azure), ML, GitHub, Jenkins, Linux. Python experience a plus. Balances hands-on work with team delivery. Responsibilities Led and managed a team of 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 … accessibility — especially for overlooked communities Our tech stack Frontend & Backend React, Nuxt, JavaScript/TypeScript FastAPI, Node.js REST, CRUD, GraphQL, WebSockets Cloud & Infra Azure (core platform) Microservices architecture CI/CD via GitHub Actions & Azure DevOps Infrastructure as Code: Terraform, Bicep, Pulumi, etc. Databases … Messaging PostgreSQL/MySQL (relational) MongoDB, Redis (NoSQL) Azure Fabric, Data Factory Azure Event Hubs, Kusto QL Tooling & Monitoring Datadog, CircleCI, Prometheus, Grafana Strong focus on observability and fault tolerance Why Join? Mission-driven: Make a meaningful impact on digital accessibility Equity potential if 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 ❯

Enterprise Data Architect - Azure This role is with a global leader in digital transformation. They are a forward-thinking organisation committed to shaping … the future of enterprise data. Our client is a trusted innovation partner to some of the world's most recognised companies, offering vast learning opportunities, modern tech environments, and the chance to influence large-scale transformation at the enterprise level. The Role As an Enterprise Data Architect , you … long-term strategy Cloud & AI/ML Enablement : Lead adoption of cloud-native tools and AI/ML solutions, with a focus on Azure services Modern Stack Implementation : Champion best practices using Snowflake, dbt, and related technologies Cross-functional Collaboration : Align business needs with technical execution across More ❯