1 to 25 of 28 Permanent Azure Machine Learning Jobs in the South East

Senior Machine Learning Operations Engineer Location: Guernsey, Haywards Heath, Home Office (Remote) or Manchester Salary: £65,000 - £75,000 - depending on experience Department: Technology and Data We're 1st Central, a market-leading insurance company utilising smart data and technology at pace. Rapid growth has been … ingestion, model development, testing, validation, deployment, to monitoring and retraining of models within different environments. If you've a strong understanding of Microsoft Azure, fluency in data science coding, and expertise in MLOps frameworks, we want to hear from you. Bring your excellent communication, problem-solving, and … concepts within Azure Familiarity with Docker and Kubernetes is advantageous Experience within financial/insurance services industry is advantageous Experience with AzureML and Databricks is advantageous Skills & Qualifications Strong understanding of Microsoft Azure, (Azure ML, Azure Stream Analytics More ❯

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 ❯

Role Overview We are seeking a Machine Learning (ML) Engineer to join our expanding Data & AI team, focusing on delivering AI solutions for public sector and enterprise clients. The ML Engineer will collaborate with data scientists, architects, software engineers, business analysts, and project managers to develop … with a passionate team on impactful projects across various industries, helping clients achieve strategic goals through data and AI. Responsibilities Create and customize machine learning models, primarily using Azure AI services, for use cases like NLP, computer vision, speech recognition, and anomaly detection. … in Python, C#, and other relevant programming languages. Experience with ML frameworks like TensorFlow, PyTorch, and Scikit-learn. Hands-on experience with Microsoft Azure AI services. Knowledge of MLOps best practices. Experience with Azure data and analytics services such as Data Factory, Data Lake 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 ❯

Machine Learning and AI Engineering Lead - London Mars is a family-owned business with more than $35 billion in global sales. We produce some of the world’s best-loved brands: M&M’s®, SNICKERS®, TWIX®, MILKY WAY®, DOVE®, PEDIGREE®, ROYAL CANIN®, WHISKAS®, EXTRA®, ORBIT®, 5TM … than ever before, and unlocking efficiencies and automation across our End-To-End Value Chain. Building on this momentum, we are recruiting a Machine Learning and AI Engineering Lead to join our Royal Canin Global Data & Analytics Team who will accelerate the shaping and delivery of … communication skills Working understanding of ML Ops and DevOps frameworks Familiarity with Microsoft Azure tech stack, including but not limited to AzureML, Azure AI Foundry, Databricks What can you expect from Mars? Work with diverse and talented Associates, all guided by the Five Principles. More ❯

hands-on, working with our Senior Staff Engineer to provide technical leadership to the team. You'll have great technical understanding of various machine learning approaches, which would include regression methods, probabilistic pricing models, tree based gradient boosting approaches, information theory, neural networks, transfer learning … our experienced MLOps and Data Engineering teams, allowing you more time to focus on model development, research and the implementation of new novel machine learning approaches. Key Responsibilities: Lead the Valuations & Pricing Team ensuring the on-going improvements in KPIs associated with the team's products. … agreeing priorities with stakeholders and the Head of Data Science and enable the team to deliver against agreed targets. Work closely with the Machine Learning Operations team to deliver products to end users, leveraging and contributing to established engineering standards and best practices. Work collaboratively with 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 organization has experienced continual strong growth since its founding. This exciting role involves designing, building, and delivering … Healthcare and Pension Scheme Opportunities for career development and progression with support Performance Bonus About the role As a mid-to-senior level Machine Learning Engineer, you will create ML models for deployment in the cloud and support Data Engineering, DataOps, and DevOps teams. You will … ML approaches, techniques, and frameworks Proficiency in Python, Pandas, TensorFlow, Scikit-learn, Numpy, SciPy Experience deploying models to the cloud and working with Azure (Azure DevOps, Azure ML, Azure SQL, ADF, etc.) Ability to work with databases such More ❯

than ever before, and unlocking efficiencies and automation across our End-To-End Value Chain. Building on this momentum, we are recruiting a Machine Learning and AI Engineering Lead to join our Royal Canin Global Data & Analytics Team who will accelerate the shaping and delivery of … our Data & Analytics Agenda. The Machine Learning and AI Engineering Lead will oversee ML and AI solution development and deployment as a capability served across the end-to-end Data & Analytics solution portfolio. The role integral to the organization's mission of leveraging advanced technologies to … communication skills Working understanding of ML Ops and DevOps frameworks Familiarity with Microsoft Azure tech stack, including but not limited to AzureML, Azure AI Foundry, Databricks What can you expect from Mars? Work with diverse and talented Associates, all guided by the Five Principles. 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 ❯

You will need to login before you can apply for a job. Machine Learning and AI Engineering Lead Employer: Mars Location: London, United Kingdom Salary: Competitive Closing date: 12 Jun 2025 Job Description: Royal Canin is undergoing a significant Digital Transformation journey. Our ability to solve … data to better understand our customers and consumers, and to enhance efficiencies across our End-To-End Value Chain. We are recruiting a Machine Learning and AI Engineering Lead to join our Royal Canin Global Data & Analytics Team to accelerate our Data & Analytics agenda. The Lead … solutions. Strong customer-centric mindset and strategic thinking. Knowledge of ML Ops and DevOps frameworks. Familiarity with Microsoft Azure stack, including AzureML, Azure AI Foundry, Databricks. What We Offer: Collaborate with talented teams guided by the Five Principles. Purpose-driven work with opportunities for More ❯

customers and consumers than ever before, andunlocking efficiencies and automation across our End-To-End ValueChain. Building on this momentum, we arerecruiting a Machine Learning and AI Engineering Lead to join ourRoyal Canin Global Data & Analytics Team who will acceleratethe shaping and delivery of our Data … AnalyticsAgenda. The Machine Learningand AI Engineering Lead will oversee ML and AI solution developmentand deployment as a capability served across the end-to-end Data& Analytics solution portfolio. The role integral to theorganization's mission of leveraging advanced technologies to driveinnovation and efficiency across the organisation. The role … frameworks & superiorverbal and written communicationskills Working understandingof ML Ops and DevOpsframeworks Familiarity withMicrosoft Azure tech stack, including but not limited to AzureML,Azure AI Foundry,Databricks Whatcan you expect fromMars? Work withdiverse and talented Associates, all guided by the FivePrinciples. Join apurpose-driven company 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 ❯

of Data Science to establish, lead and grow our Data Science practice, including the Centre of Excellence (CoE) and oversee the deployment of machine learning, predictive analytics, and data-driven decision-making across the business. In this pivotal role, you will provide strategic leadership to your … with business objectives and operational excellence. Establish the Data Science Centre of Excellence (CoE) to standardise methodologies and foster collaboration across business units.Machine Learning & AI Implementation Oversee the design, development, and deployment of machine learning and AI models, ensuring scalability and real-world applicability … Monetisation - Proven experience in developing data-driven monetisation strategies while advocating for open data transparency to drive industry collaboration.Significant experience in data science, machine learning, and analytics, with a proven track record of technical leadership, strategic influence, and business impact.Essential Technical Skills & Qualifications Advanced Analytics & ML More ❯

of Data Science to establish, lead and grow our Data Science practice, including the Centre of Excellence (CoE) and oversee the deployment of machine learning, predictive analytics, and data-driven decision-making across the business. In this pivotal role, you will provide strategic leadership to your … the Data Science Centre of Excellence (CoE) to standardise methodologies and foster collaboration across business units. Oversee the design, development, and deployment of machine learning and AI models, ensuring scalability and real-world applicability in areas like predictive maintenance, leakage detection, and customer analytics. Team Leadership … Proven experience in developing data-driven monetisation strategies while advocating for open data transparency to drive industry collaboration. Significant experience in data science, machine learning, and analytics, with a proven track record of technical leadership, strategic influence, and business impact. Essential Technical Skills & Qualifications Advanced Analytics More ❯

across clinical and operational metrics Build scalable data science workflows using Azure Data Factory, Synapse Analytics, Databricks, and other Microsoft Azure services Lead end-to-end development of predictive models (e.g., fall prediction, infection prevention) using Azure Machine Learning … senior or lead data science role, delivering production-grade ML models Hands-on experience with Azure-based data pipelines and machine learning services Advanced proficiency in Python (for … ML) and SQL (for data manipulation) Deep expertise in supervised and unsupervised ML techniques, benchmarking design, and statistical analysis Strong experience with Microsoft Azure stack: AML, Data Factory, Synapse, Databricks, Blob Storage/Data Lake Familiarity with Power BI for report automation and data insight delivery Knowledge 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 ❯

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 ❯

possible with current AI technologies. Required Skills & Experience: Experience with AWS AI services (e.g., AWS Bedrock, SageMaker Studio, Lambda, EKS ) and/or Azure AI services (e.g., Azure OpenAI, Azure Cognitive Service, Azure ML). Experience with designing More ❯

to both expert engineers and non-technical business leaders. Have Some Cloud/Data Familiarity Experience with databases, cloud infrastructure (AWS, GCP, or Azure), or AI/ML tools is a plus—but an eagerness to learn is even more important. Preferred Qualifications Bachelor’s or Master 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 ❯

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 ❯

secure data platforms to support business insights, analytics, and other data-driven initiatives. Job Specification ( Technical Skills) : Cloud Platforms: Expert-level proficiency in Azure (Data Factory, Databricks, Spark, SQL Database, DevOps/Git, Data Lake, Delta Lake, Power BI), with working knowledge of Azure WebApp and Networking. Conceptual understanding of Azure AI Services, ML, Unity Catalog, and data catalog technologies such as Purview. Strong proficiency in Azure or Snowflake or AWS or GCP is required. Data Engineering: Advanced proficiency in SQL, Python, and at least … the Five Principles. Join a purpose driven company, where we’re striving to build the world we want tomorrow, today. Best-in-class learning and development support from day one, including access to our in-house Mars University. An industry competitive salary and benefits package, including company bonus. 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 ❯