76 to 100 of 231 Machine Learning Jobs in the South East

Innovation Software Engineer (Numerical Modelling, AI/ML, C++/Python) Guildford, Surrey (On-site) £65000 - £100,000 + 25% Bonus, 10% Pension, Private Medical. - A Masters or PhD Degree in Computing or STEM disciplines. - Can work full-time, 5 days a week in Guildford in the office. Your … high-level scientific language (e.g., Python, Julia). We are particularly looking at experience with scientific computing, numerical methods, or computational modelling. Desirables are Machine learning, optimization, control, probabilistic modelling, or related fields. Familiarity digital twins, agentic systems, reinforcement learning or advanced optimisation. What ...

alongside relevant professional certifications (e.g. Power BI, Azure, AWS, Data Engineering, Analytics). Experience using Python for data handling, automation, or analytics. Exposure to machine learning techniques and advanced statistical modelling. Equal Opportunity Statement This is not an exhaustive list, and we welcome applications from candidates ...

/best practices and practical experience applying TDD. clear communication/interpersonal skills are a must for working closely with internal teams. Experience with Machine Learning, CI/CD and IAC using Terraform for management of Azure/AWS would be beneficial. What you'll get in return ...

decisions Translate technical insights into product & revenue impact What we’re looking for 4+ years in hands-on Data Science Strong Python + cloud ML/data tooling (GCP, AWS, or similar) Proven track record of shipping models into production Strong experimentation & product analytics experience Product mindset — you care about ...

across real assets, sustainability, and essential services . What you'll do Build and enhance our cloud platforms and data infrastructure Deploy AI/ML and GenAI solutions into production Drive automation and operational efficiency using AI and RPA Support development of client-facing digital platforms and dashboards Modernise systems ...

strategy and delivering innovative solutions across large-scale environments. Key Responsibilities AI Solution Architecture Design and architect enterprise-grade GenAI, Agentic AI and ML solutions aligned to client business goals. Build scalable architectures using modern cloud platforms ( Azure, AWS or GCP ). Lead the design of RAG-based solutions … Weaviate, FAISS). Solid understanding of prompt engineering, model tuning, and AI evaluation methodologies . Experience building production-grade AI systems using Python and ML frameworks (PyTorch, TensorFlow). Knowledge of MLOps/LLMOps practices and tooling (MLflow, Kubeflow, Docker, Kubernetes). Experience delivering AI solutions on AWS, Azure ...

implement scalable data platforms using the Databricks Lakehouse architecture. The role involves building modern data pipelines, optimizing data platforms, and enabling analytics and machine learning capabilities across the organization. Key Responsibilities Design and implement data architectures on the Databricks Lakehouse Platform Build and optimize ETL/ELT pipelines ...

Science, Statistics, Mathematics, or a related field (Master’s or Ph.D. preferred). Proficiency in programming languages, particularly Python, R, and SQL. Experience with machine learning techniques and frameworks (e.g., TensorFlow, Scikit-learn). Strong analytical skills with a knack for problem-solving and critical thinking. Excellent communication ...

Science, Statistics, Mathematics, or a related field (Master's or Ph.D. preferred). Proficiency in programming languages, particularly Python, R, and SQL. Experience with machine learning techniques and frameworks (e.g., TensorFlow, Scikit-learn). Strong analytical skills with a knack for problem-solving and critical thinking. Excellent communication ...

work independently and manage priorities effectively. Preferred Skills Experience working with low-resource languages . Familiarity with international language classification standards. Experience collaborating with machine learning engineers, NLP researchers, or data scientists . Background in corpus linguistics or linguistic fieldwork . Experience contributing to academic or technical research ...

platforms such as Microsoft, AWS, Google or OpenAI technologies Practical exposure to Generative AI and large language model frameworks Skills in data analysis and machine learning tooling (Python, SQL, R or similar) Confidence engaging with senior stakeholders and translating technical concepts into clear business value Experience contributing ...

must have written production grade code in C#, C++ or Python for application development (not web apps or embedded) and an interest in pushing Machine Learning over time. Crucially we are looking for experience with AWS Cloud/Distributed Computing to be considered. Your new role In this ...

Actions Work with Data Engineering team to implement robust and trustworthy data to support high-performance Kafka streams and predictive models Deploy and maintain machine learning models as APIs for use in our live environments Employ a variety of languages and tools (e.g. scripting languages) to develop ...

Azure DevOps, GitHub Actions) specifically tailored for analytics, data science, and trading teams. Hands-on experience deploying apps, data pipelines (Azure Data Factory, Databricks), ML model training environments, event streaming (producers/consumers), and auto-trading solutions. Azure Cloud & IaC Mastery: Deep experience architecting and managing end-to-end Azure ...

Learning, or Generative AI products Strong understanding of user-centric product development Experience with tools and platforms such as: AWS (AI/ML services) Hugging Face LLMs and Generative AI workflows Ability to work in fast-paced, ambiguous environments Strong stakeholder management and communication skills Commercial awareness ...

Understanding of Agile delivery methods Desirable: Experience or knowledge CI/CD pipelines and build tools (GitLab CI, Jenkins, AWS) Understanding and awareness of Machine Learning pipelines Familiarity with containerisation and cloud platforms (Docker, Kubernetes, AWS, Azure) Exposure to additional automated testing frameworks (Selenium, Junit, NUnit) ISTQB Foundation ...

responsibilities: Own full MMM project cycles - from data strategy and modelling to insights, activation, and client recommendations. Apply econometrics, regression, Bayesian methods, and machine learning to large, complex datasets. Produce dashboards, decisioning tools, and visual analytics using internal frameworks. Translate technical outputs into clear, strategic recommendations for senior ...

responsibilities: Own full MMM project cycles - from data strategy and modelling to insights, activation, and client recommendations. Apply econometrics, regression, Bayesian methods, and machine learning to large, complex datasets. Produce dashboards, decisioning tools, and visual analytics using internal frameworks. Translate technical outputs into clear, strategic recommendations for senior ...

simulation software Cloud platforms such as AWS (including EKS) or Azure Containerisation tools such as Docker or Kubernetes Full stack development (Vue, TypeScript, Django) Machine learning or AI pipeline development Experience with engineering, scientific, or simulation-driven applications (e.g. CFD/FEA) What Next ...

most trusted sports data to some of the world's biggest organizations, across sports, media, and broadcasting. Through the latest AI technologies and machine learning, we combine decades' worth of data with the latest in-game happenings. We then offer coaches, teams, professional bodies, and media channels around ...

Retail, CPG, OR Manufacturing). The ideal candidate will have a proven track record in selling digital transformation solutions around Data, Cloud, AI/ML, GenAI and a deep understanding of the Retail, CPG, and Manufacturing sectors. This role requires a strategic thinker with excellent leadership skills, who can drive ...

small team Strong communication skills and willingness to ask for support when needed Bonus Points Experience designing data models to support AI/ML or LLM-based analytics Interest in using AI tools to enhance developer productivity Exposure to semantic layers or metrics layers Experience with customer data Ability ...

Agile methodologies and ways of working. Knowledge of attacker TTPs, threat modelling, and cyber security frameworks. Understanding of statistics, data science, or AI/ML as applied to security. Awareness of ISO 27001 standards. Relevant cyber security certifications (e.g., MS-500, AZ-500, SC-200, SC-300, SC-400, Security+ ...

Agile methodologies and ways of working. Knowledge of attacker TTPs, threat modelling, and cyber security frameworks. Understanding of statistics, data science, or AI/ML as applied to security. Awareness of ISO 27001 standards. Relevant cyber security certifications (e.g., MS-500, AZ-500, SC-200, SC-300, SC-400, Security+ ...

Ability to translate complex technical or research-driven concepts into practical software solutions Beneficial Experience DevOps and CI/CD pipeline implementation Exposure to machine learning or AI-driven systems Experience working on technically complex or cutting-edge software products Modern software engineering practices and tooling Spectrum ...