19 of 19 Remote/Hybrid Azure Machine Learning Jobs

seeking a highly skilled and motivated Python Developer with experience in Google Cloud Platform (GCP), Microsoft Azure, and Machine Learning technologies. The ideal candidate will be responsible for developing scalable solutions, deploying machine learning models, and integrating cloud-based … services using cutting-edge technologies. Key Responsibilities Design, develop, and maintain scalable Python applications. Build and deploy machine learning models on cloud platforms (GCP and Azure). Develop, test, and optimize machine learning algorithms for various business use cases. ...

Machine Learning Engineer Location: Erskine, Scotland - Hybrid Candidates must be eligible for clearance Were looking for a talented and motivated Machine Learning Engineer to join our growing team. This is an exciting opportunity for women who want to advance their career …/ML, work on meaningful projects, and thrive in a supportive, collaborative environment. What Youll Do: Design, develop, and deploy machine learning models using modern frameworks and libraries. Collaborate closely with data scientists, engineers, and stakeholders to turn ideas into impactful solutions. Optimize and deploy models ...

Data/Machine Learning Ops Engineer Location: Erskine, Scotland (Hybrid 2/3 days per week in the office) Candidates must be eligible for clearance. DXC Technology (NYSE: DXC) is a leading independent, end-to-end IT services company, helping organisations harness innovation to thrive through … solutions. We are proud to be recognised globally for corporate responsibility and inclusive workplace practices. The Role Are you passionate about bringing machine learning solutions into real-world production environments? Do you enjoy collaborating with others to build scalable, reliable systems? We are looking ...

Machine Learning Developer (Document AI & NLP) Duration: 6-month contract (FTC/Subcon) role Hybrid 3 days onsite Location:Sheffield The Role You will design and build Python-based ML and OCR components, taking ownership of the full lifecycle-from initial requirement gathering with stakeholders … solutions. Innovation: Continuously test and improve existing features using traditional ML and Generative AI. Technical Requirements Mandatory Skills: Azure Machine Learning: Proven experience within the Azure ecosystem. Document AI: Strong background in Intelligent Document Processing (IDP) using both traditional ...

tech stack, and a track record of delivering scalable software solutions across multiple sectors. THE BENEFITS * Hybrid working from their Leeds office * Dedicated learning and development budget * Mentoring from experienced AI and Software Engineers * Clear progression pathway as the AI capability grows * Exposure to real-world AI deployment … commercial experience in a software or AI-focused role * Ideally strong Python development skills * Experience working with data processing and APIs * Understanding of machine learning fundamentals * Familiarity with version control (Git) and Agile environments TO BE CONSIDERED: Please either apply through this advert or email ...

offered) Must be SC Cleared or SC Clearable As a Data Solution Architect , you’ll design, position, and showcase enterprise-ready Microsoft Azure solutions—including Azure Synapse, Azure Databricks, Microsoft Fabric, and Azure ML —while partnering with clients … turn complex data challenges into actionable business outcomes. What You’ll Do: Lead architecture and design of enterprise Azure Data & AI solutions. Drive pre-sales engagements, shaping technical strategy, running discovery workshops, and translating business goals into scalable, secure architectures. Act as Technical Design Authority (TDA) across ...

technical outputs into clear, compelling insights for senior stakeholders. Drive experimentation and optimisation initiatives to improve performance across commercial channels. Champion AI and machine learning innovation, staying ahead of industry best practice. Promote ethical data use, governance and compliance across all analytics initiatives. What You Bring … Computer Science, Mathematics, Engineering or a related field. Proven experience in a data science or statistical role. Expertise in advanced analytics techniques including machine learning, optimisation and segmentation. Strong proficiency in Python, SQL and Spark SQL. Experience working with large datasets and distributed computing tools such ...

development programmes. Skills and Professional Experience Essential Experience in data science and an understanding of mathematical and statistical concepts relevant to AI and machine learning. Experience implementing cloud-based AI and ML workloads across one or more cloud platforms or third-party technologies such as Google PaLM … transformers, GANs, and VAEs, along with fine-tuning techniques, retrieval-augmented generation, contextual embeddings, vector databases, and semantic search tools Experience using deep learning frameworks and tools such as PyTorch, TensorFlow, and LangChain. Experience designing and implementing MLOps frameworks that support robust model training, testing, monitoring, and continuous ...

validation, deployment, and monitoring of models. Support scalable ML solutions across use cases like recommendations, forecasting, and automation. Work with tools like Airflow, Azure ML, and FastAPI to deliver production-ready systems. Automate model deployment workflows using CI/CD tools (e.g. GitHub Actions, Azure … data scientists to productionise research code and models into scalable services. Help implement monitoring, alerting, and model drift detection using tools like NewRelic, Azure Monitor, and custom logging frameworks. Continuously improve and manage infrastructure using Terraform, Docker, and Fargate. Your Profile Essential skills/knowledge/experience ...

stay hands-on. Responsibilities include delivering Fabric solutions (OneLake, Lakehouse, Warehouses, Power BI), leading architecture and performance optimisation, and enabling advanced analytics and machine learning with Fabric and Azure ML. Key skills and responsibilities: Design and deliver scalable, secure end-to-end Microsoft … Lakehouse, Warehouses and Power BI) Designing and managing enterprise-grade workloads and semantic models to enable robust analytics and reporting, utilising Fabric and Azure ML Planning and sizing Fabric initiatives, including capacity needs, effort estimates, infrastructure requirements, team resourcing, and delivery timelines. Extensive knowledge in data modelling ...

Design AI Architectures Translate requirements into scalable AI/ML solutions Design architectures covering: Model development Data pipelines MLOps and monitoring Cloud integration (Azure, AWS, or GCP) Validate feasibility with engineering and delivery teams ✍️ Lead Tender & Bid Responses Own technical sections of AI RFPs and RFIs Develop … sales, AI architecture, or technical bid writing Strong capability in scoping AI/ML programmes and estimating effort Deep understanding of: Machine learning (supervised & unsupervised) Generative AI & LLMs Embeddings, vector databases, RAG MLOps and model lifecycle management Experience with platforms such as: Azure ...

data frameworks (DAMA-DMBOK, NIST AI RMF, ISO 23894, ISO 27001, GDPR/DPA 2018); hands-on with platforms such as Microsoft Purview, Azure ML, Databricks, Power BI, Collibra, or Alation; exposure to MLOps practices. ...

Pivot. ETL/ELT tooling (SSIS/Power Query) and dimensional modelling (Star Schema). Practical AI/ML exposure (e.g., Python notebooks, Azure ML, or equivalent) and the ability to operationalise models responsibly within reporting workflows. Proven track record integrating disparate systems post-acquisition and delivering … Project management experience. Qualifications Degree in a quantitative field (or equivalent experience). Microsoft certifications (DP-203, PL-300) advantageous. Evidence of continuous learning in data engineering, BI, and AI. What we offer Competitive salary commensurate with level of experience Hybrid working options considered following training & probation completion ...

Data Engineering Manager (Architect Architecture Data Development Engineer Engineering Management Head of Agile Microsoft Azure ML AI Automation Finance Financial Services Fabric Synapse DataBricks Snowflake SQL) required by our financial client in Tunbridge Wells, Kent. You MUST have the following: Good experience as a Data Engineering Manager … inheriting teams, raising standards and performance Strategy to align with the needs of the business Excellent design and architecture ability MS SQL Server Azure AI - even if outside work Agile Experience in a financial environment The following are DESIRABLE, not essential: Microsoft Fabric, Synapse, Databricks or Snowflake ...

Head of Data (Architect Architecture Data Development Engineer Engineering Manager Management Head of Agile Microsoft Azure ML AI Automation Finance Financial Services Fabric Synapse DataBricks Snowflake SQL Banking Asset Management Investment Lending Loans Mortgtages) required by our financial client in London. You MUST have the following: Good … Head of Data Management experience Experience aligning the strategy with the needs of the business Excellent design and architecture ability MS SQL Server Azure AI - even if outside work Agile Experience in a financial environment The following are DESIRABLE, not essential: Microsoft Fabric, Synapse, Databricks or Snowflake ...

Data Engineering Product Owner, AI Data Analytics, Microsoft Stack, Azure, Data Bricks, ML, Azure, Mainly Remote Data Engineering/Technology Product Owner required to join a global Professional Services business based in Central London. However, this is practically a remote role, but when travel … details Experience required: Data FIRST mentality. You must have been working within Data Engineering before moving into Product Ownership Technical proficiency:Familiarity with Azure services (e.g., Data Lake, Synapse, Fabric) and Databricks for data engineering, analytics, performance optimisation, and governance Development Framework experience within Microsoft Stack Technologies ...

Data Bricks Product Owner, Microsoft Fabric Product Owner, Data Engineering, AI Data Analytics, Microsoft Stack, Azure, Data Bricks, ML, Azure, Mainly Remote Data Bricks Product Owner, Microsoft Fabric Project Owner, Data Engineering/Technology Product Owner required to join a global Professional Services business … mentality. You must have been working within Data Engineering (Data Bricks, Microsoft Fabric etc) before moving into Product Ownership Technical proficiency:Familiarity with Azure services (e.g., Data Lake, Synapse, Fabric) and Databricks for data engineering, analytics, performance optimisation, and governance Development Framework experience within Microsoft Stack Technologies ...

Data Bricks Product Owner, Microsoft Fabric Product Owner, Data Engineering, AI Data Analytics, Microsoft Stack, Azure, Data Bricks, ML, Azure, Mainly Remote Data Bricks Product Owner, Microsoft Fabric Project Owner, Data Engineering/Technology Product Owner required to join a global Professional Services business … mentality. You must have been working within Data Engineering (Data Bricks, Microsoft Fabric etc) before moving into Product Ownership Technical proficiency: Familiarity with Azure services (e.g., Data Lake, Synapse, Fabric) and Databricks for data engineering, analytics, performance optimisation, and governance Development Framework experience within Microsoft Stack Technologies ...

Data Engineering Product Owner, AI Data Analytics, Microsoft Stack, Azure, Data Bricks, ML, Azure, Mainly Remote Data Engineering/Technology Product Owner required to join a global Professional Services business based in Central London. However, this is practically a remote role, but when travel ...