126 to 150 of 351 Machine Learning Jobs in the South East

AWS & Azure (primary skills). Solid understanding of containerization and orchestration tools like Docker and Kubernetes . Proficiency in cloud native distributed systems & microservices architecture. Exposure to AI/ML techniques for predictive analytics and automated problem resolution. Familiarity with CI/CD pipelines & enabling automated release & deployment engineering solutions. Good to have experience with chaos engineering tools like Gremlin More ❯

to manage multiple projects and priorities in a fast-paced, evolving environment. Knowledge of Salesforce CRM Analytics. Experience in commercial, sales, or product-focused environments. Familiarity with AI/ML tools, OTE modeling, or pricing strategy. Certifications: Lean Six Sigma, Power BI, Tableau, or finance/commercial qualifications (CIMA/ACCA). Bachelors degree in Data Science, Statistics, Mathematics, Economics More ❯

Requirements We are looking for candidates who have: Proven experience as an AI/ML professional. A strong understanding of Python programming concepts, leading practices, and SQL skills. Experience in any cloud computing environment. Familiarity with Machine Learning Operations (MLOps) methodologies. An eye for detail and strong analytical skills. Excellent problem-solving abilities. Strong communication and presentation skills More ❯

Qualifications: • 6+ years of experience in applied data science, machine learning, or analytics leadership. • Strong understanding of model lifecycle management, experimentation frameworks, and data science governance. • Familiarity with MLOps concepts and tooling (e.g., MLflow, Kubeflow, Vertex AI, SageMaker, Azure ML). • Hands-on experience with data science tools and languages such as Python, R, SQL, and relevant frameworks (e.g., scikit-learn, TensorFlow, PyTorch). • Proven ability to assess or design More ❯

the ability to build compelling narratives for senior stakeholders Demonstrated ability to work cross-functionally and collaboratively Experience in developing or supporting data strategy An understanding of how GenAI, machine learning and other AI capabilities can support our business goals Why Choose Fitch: Hybrid Work Environment: 2 to 3 days a week in office required based on your … line of business and location A Culture of Learning & Mobility: Dedicated trainings, leadership development and mentorship programs designed to ensure that your time at Fitch will be a continuous learning opportunity Investing in Your Future: Retirement planning and tuition reimbursement programs that empower you to achieve your short and long-term goals Promoting Health & Wellbeing: Comprehensive healthcare offerings More ❯

Would you like to work on complex and interesting AI based systems with a team of tech entrepreneurs? You could be joining a growing start-up that is utilising Machine Learning and AI technology to revolutionise fish farming, improving fish health and growth; their carbon neutral technology is already making a difference in Scotland, Chile, Canada, Australia, Spain … driven decision making and improving operational efficiency across the global farm network. This role offers exciting challenges involving high-volume data processing, data quality management and supporting AI/ML workflows. There are excellent career progression opportunities as the company continues to scale; you'll be an integral part of a small, distributed team. Location/WFH: You can work More ❯

Architecture Reviews Advanced knowledge of cybersecurity architecture, applications, and technical processes with considerable, in-depth knowledge in one or more technical disciplines (e.g., public cloud (GCP & AWS), artificial intelligence, machine learning, mobile, etc.) Experience applying expertise and new methods to determine solutions for complex architecture problems in one or more technical disciplines Ability to communicate effectively and authoritatively … Kubernetes, Docker) Securing APIs and micro-services Securing Software as a Service (SaaS) tools and managing their security baseline posture Software Supply Chain Security Proven experience of upskilling and learning modern technologies Technical people leadership experience within a product security team in financial services consumer businesses or Fintech Organizations (i.e., Mortgages, Cards or Digital) #ICBCareer More ❯

/CV to me, Dan - WHO WE ARE: We're an EdTech startup using AI and data-driven technology to transform how students learn and educators teach. Our intelligent learning platform empowers users through personalised insights, automating complex processes and enabling smarter decision-making. As we continue to scale, we're strengthening our technical delivery capability and looking for … TO HAVE: Certifications such as PMI-ACP , PMP , or Agile Practitioner . Experience working in cloud environments (GCP, AWS, or Azure). Previous exposure to data engineering, AI , or machine-learning teams . Familiarity with data and analytics technologies (ETL tools, data warehouses, dashboards). TO BE CONSIDERED... Please either apply online or email me directly at .By More ❯

Snowflake, Databricks, Spark) and ETL processes. Useful experience; Python or R for advanced analytics, automation, or experimentation support. Knowledge of statistical methods and experimentation (A/B testing) preferred. Machine learning and Generative AI experience is a plus. Experience working with call centre and/or digital support KPIs preferred. Benefits Long contract Hybrid role Free breakfast More ❯

data formats. Experience with rules engines, decision management systems, or low-code/BPM tools. Understanding of knowledge representation, logic, or semantic technologies (RDF, OWL, SPARQL). Awareness of machine learning and how probabilistic and deterministic reasoning can complement each other. Domain experience in financial services, insurance, healthcare, or other regulated industries. Degree in a logic- or analytics More ❯

on Data & Analytics) or equivalent in a global enterprise. Recognised thought leader in Data and Analytics (e.g., DataIQ Top 100, industry awards, keynote speaker). Expertise in AI strategy, machine learning, and enterprise data platforms. Strong understanding of cloud technologies (AWS, Azure, GCP) and modern data architectures. Exceptional stakeholder management and communication skills. Certifications such as CDAO, AI More ❯

Background in data management, engineering, or database administration . Experience with metadata management and master data management (MDM) tools. Understanding of data governance frameworks and compliance standards. Familiarity with machine learning pipelines or AI model integration. A proactive, detail-oriented approach and a passion for building scalable, reliable data systems . TO BE CONSIDERED... Please either apply online More ❯

a distinct advantage, including Power BI Power Apps Power Automate Basic understanding and or an active interest in: Programming languages such as C#, JavaScript, Python and SQL. AI and machine learning Model Context Protocol (MCP) Equality, Diversity & Inclusion: proAV is an equal opportunity employer that is committed to supporting and promoting an inclusive culture for all employees and More ❯

partner closely with our digital marketing teams to understand the challenges they face and provide them with solutions. In this role, you will: Apply advanced analytical techniques, statistical knowledge, machine learning, and big data handling skills to support our commercial stakeholders' decision-making Act as a measurement expert, leveraging statistical modeling, experimentation techniques, and incrementality approaches to assess More ❯

debugging, version control, error-handling, readability, documentation, general code health, etc. Desire to constantly improve and learn inside and outside of expertise PREFERRED EXPERIENCE: Domain-specific experience in statistics, machine learning, or AMO physics Experience with Numpy, Scipy, and Pytorch Experience with image analysis, emphasis on realtime object detection Experience with databases (relational and non-relational) including but More ❯

footballers' legs. Ki's mission is simple. Digitally disrupt and revolutionise a 335-year-old market. Working with Google and UCL, Ki has created a platform that uses algorithms, machine learning and large language models to give insurance brokers quotes in seconds, rather than days. Ki is proudly the biggest global algorithmic insurance carrier. It is the fastest More ❯

record of working with traders or other business stakeholders to create commercially actionable models. Experience with a range of modelling techniques including, regression, time series analysis, forecast modelling and machine learning. Excellent problem-solving skills. Experience using a coding language to develop models and analytical tools. Experience manipulating and analyzing large, complex datasets. Desirable Experience & Skills Practical knowledge of More ❯

platforms and enhance operational efficiency through innovative solutions. Nice to Have : Background in software delivery, with a solid grasp of CI/CD pipelines and DataOps methodologies. Exposure to ML/AI implementations. 3. Process & Delivery Management Operational Excellence : Manage delivery timelines, performance metrics, and team operations effectively. Support technology upgrades, evaluate new tools, and adopt emerging trends. Strategic Vision More ❯

Experience Proven experience leading technical delivery of AI/automation solutions using Microsoft Copilot Studio and Power Platform. Hands-on expertise in Python for automation, integration, or AI/ML tasks. Strong understanding of MCP (Microsoft Cloud Platform), A2A (Application-to-Application) integration, and Azure AI Foundry. Track record of embedding controls, governance, and compliance in technical solutions. Experience in More ❯

in Computer Science, Engineering, or related field 5+ years of proven experience in software engineering within AI, SaaS, or automation platforms Deep technical expertise (e.g., Python, Node.js, AI/ML integration, cloud infrastructure) Previous experience in a leadership role within a startup or high-growth tech company Excellent problem-solving, communication, and organisational skills A passion for building products that More ❯

data quality, consistency, and usability.Your work will ensure the business has access to trusted, timely, and well-modelled data to support decision-making, operational reporting, and future AI/ML capabilities. Key Responsibilities Data Engineering Delivery: Build and maintain high-quality data pipelines and models in Snowflake to support analytics and reporting needs. Architecture Implementation: Apply defined data architecture standards More ❯

Strong consulting skills, including targeted communication, engagement management, stakeholder management, and business development. Mastery of enterprise architecture components, business/IT principles, and organisational processes. Experience applying AI/ML across corporate functions (e.g., financial anomaly detection, HR attrition prediction, procurement spend analytics). Competencies Exceptional analytical, planning, and organisational capabilities, with strong situational awareness and political acumen. Balances long More ❯

early in the lifecycle. Continuous Improvement Identify opportunities to simplify and modernise the data landscape by rationalising legacy platforms and redundant data stores. Stay current with emerging technologies (AI, ML, data mesh, data fabric) and translate them into tangible business capabilities. Contribute to the refinement of the North Star architecture and enterprise data capability roadmap. Key Interfaces Enterprise Architecture Domains More ❯

in technology strategy, roadmaps, and product solutioning Up to 15% of travel may be required Preferred: Experience with Business Data Cloud and Data Bricks Advance analytics with AI and ML Familiarity with technical infrastructure in a global context Required Skills: Analytical Reasoning, Consulting, Cost Management, Creating Purpose, Cross Functional Collaboration, Developing Others, Human Computer Interaction (HCI), Inclusive Leadership, Leadership, Performance More ❯

as Jenkins, ADO, GitHub actions, CirlceCI etc. Awareness of the latest developments in testing tools and design patterns. Bonus Points for: Experience with emerging technologies, e.g using AI/ML within your engineering projects. Familiarity with testing in cloud environments such as AWS, Azure or Google Cloud . Whats in It for You? We believe in rewarding great work. Heres More ❯