76 to 100 of 268 Machine Learning Jobs in the South East

design and deliver scalable data and AI solutions across internal and client projects. You’ll own the full data lifecycle — from ingestion and processing to deployment and monitoring of machine learning models — while leading a small, high-performing team. What You’ll Do Build and maintain data pipelines and cloud infrastructure (AWS/GCP). Develop AI-driven More ❯

AWS Glue Solid analytical and technical skills Good communications skills both verbally and written; this role will be working closely with business users. NICE TO HAVE Development & Deployment of machine learning models using PyTorch Experience with GIS systems (Postgis,QGIS, ) WHATS IN IT FOR YOU? Working at CoStar Group means you'll enjoy a culture of collaboration and More ❯

proficiency in C++ and real-time embedded software development Experience with Graphics APIs, e.g. OpenGL, Vulkan, with a focus on performance Experience with Machine Learning and how ML models are built Understand of Android OS at framework level (operating systems, threads, CPUs) If you are a Graphics Performance Optimisation Engineer pushing mobile graphics performance to new heights and More ❯

SQL databases Git proficiency and collaborative working approach Bonus points for: Agile experience, Linux familiarity, cloud platforms (AWS/Azure), CI/CD, or exposure to hardware integration and machine learning. Who Thrives Here You're curious, detail-oriented, and enjoy tackling diverse technical challenges. You write clean code, learn fast, and contribute ideas. You're comfortable working both More ❯

for data extraction, transforming JSON & XML, utlising high experience within metadata management. Collaborate with data engineers to develop data, enrich product design and integrate data for predictive models or machine learning. Deliver well-defined, transformed, tested, documented, and code-reviewed datasets for analysis. Evaluate and recommend improvements in data flow, influencing and supporting architects and engineers. To work independently More ❯

cloud-native services, and on-prem platforms to enforce security-by-design principles. Deliver security capabilities that support modern work scenarios, remote access, zero-trust networking, and AI/ML workloads. Leverage automation frameworks and IaC to improve scalability and reduce manual intervention. Operational Security, SRE & Assurance: Ensure security platforms are resilient, continuously monitored, and designed for 24x7 support and More ❯

Central Government agency, working on advanced data and AI-driven solutions to support a mission critical project. This role offers the opportunity to work on cutting-edge initiatives applying Machine Learning, Natural Language Processing, and Large Language Models (LLMs) within a secure environment. Key … Skills & Experience: Proven experience as a Data Scientist , ideally in a government or large-scale enterprise environment. Strong Python programming skills, including experience with data science and AI/ML frameworks (e.g., Pandas, NumPy, Scikit-learn, PyTorch, TensorFlow). Experience developing and fine-tuning LLMs and working with generative AI tools. Hands-on experience with Microsoft Azure (Azure ML, Databricks … complex datasets. Strong understanding of data ethics, governance, and responsible AI principles. Must have SC Clearance and 5 years' continuous UK residency . Desirable: Experience with MLOps or deploying ML models into production. Familiarity with data engineering workflows and pipelines. Knowledge of working in a secure or public sector environment. If you believe your experience is in line with the More ❯

the AWS Data Engineer: Experience with Databricks , Kafka , or Kinesis for real-time data streaming Knowledge of containerisation (Docker, ECS) and modern orchestration tools such as Airflow Familiarity with machine learning model deployment pipelines or data lakehouse architectures Data Engineer, AWS Data Engineer More ❯

s data strategy underpins their innovative financial products. Key Responsibilities: Lead the design, development, and optimisation of data pipelines and ETL processes. Architect scalable data solutions to support analytics, machine learning, and real-time financial applications. Drive best practices for data engineering, ensuring high levels of data quality, governance, and security. Collaborate with cross-functional teams to integrate More ❯

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 ❯

/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 ❯

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 ❯