776 to 800 of 1,525 Machine Learning Jobs

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 ...

Candidate Key attributes of a suitable Data Scientist or Senior Data Scientist include: Strong Data Science Foundations – bring solid grounding in statistics and machine learning, along with strong programming skills – Python preferred. Passion for Cutting-Edge AI – You actively experiment with and apply modern AI technologies such ...

solutions. Key responsibilities: Designing and building scalable data pipelines, datasets, and data models Integrating data from multiple structured and unstructured sources Developing advanced analytics, machine learning and AI solutions where appropriate Building Generative AI solutions using large language models and prompt/context engineering Ensuring data quality, reliability ...

Preferred Qualifications Familiarity with version control tools (e.g., Git). Exposure to business domains such as finance, marketing, operations, or sales analytics. Knowledge of machine learning or predictive modeling. Bonus points: Experience with PHP, ThoughtSpot, Sigma Computing. ...

Experience Strong experience in software engineering, delivering complex distributed or microservice-based systems. Proven capability building and operating production applications with embedded AI or machine learning features. Strong programming skills in languages such as Java, Python, or Node.js, with exposure to modern frontend frameworks where relevant. Solid experience ...

problem-solving, communication, and stakeholder engagement skills. Strategic thinker with a focus on security, compliance, and innovation. Familiarity with industry trends such as AI, Machine Learning, and cloud technologies Experience of Managing cloud services (e.g., AWS, Azure, GCP). Experience overseeing integration, and end-to-end tests using ...

Civil Service or public sector environments. * Interest in AI safety, AI evaluation methodologies or educational technology. * Experience working closely with data science, AI or machine learning teams. * Exposure to modern AI engineering practices and frontier AI models. Qualifications * Undergraduate degree in a STEM discipline or equivalent commercial experience. ...

operate as a technical authority across major defence and national security programmes, helping clients unlock the value of their data while enabling advanced analytics, machine learning and AI-driven solutions. You will play a key role in shaping both technical delivery and the future direction of the organisation ...

business strategies Nice to Have Skills: Experience in econometrics and difference-in-differences analysis Familiarity with cloud data platforms and visualization tools Knowledge of machine learning algorithms and advanced statistical techniques Previous experience in consulting or client-facing roles Preferred Education and Experience: Bachelor’s or Master ...

Civil Service or public sector environments.* Interest in AI safety, AI evaluation methodologies or educational technology.* Experience working closely with data science, AI or machine learning teams.* Exposure to modern AI engineering practices and frontier AI models. Qualifications * Undergraduate degree in a STEM discipline or equivalent commercial experience. ...

Snowflake Define data architecture roadmaps aligned to business and AI strategies Drive data modelling, governance, integration and interoperability standards Architect solutions supporting analytics, machine learning and AI use cases Provide technical leadership across data engineering, analytics and AI delivery teams Establish best practice around security, privacy, compliance, metadata ...

data platforms such as AWS, Azure, Snowflake, Databricks, or similar technologies. Understanding of data governance, compliance, privacy, and security principles. Exposure to data science, machine learning, or advanced analytics products. Experience with data visualisation and business intelligence platforms. Visa sponsorship is not available for this position. ...

Experience implementing governance frameworks and best practices for AI systems. Strong problem-solving and analytical skills. Desirable Experience Experience with Azure AI Studio, Azure Machine Learning, or Cognitive Services. Familiarity with DevOps practices and CI/CD pipelines within the Microsoft ecosystem. Experience integrating AI solutions with Microsoft ...

Experience implementing governance frameworks and best practices for AI systems. Strong problem-solving and analytical skills. Desirable Experience Experience with Azure AI Studio, Azure Machine Learning, or Cognitive Services. Familiarity with DevOps practices and CI/CD pipelines within the Microsoft ecosystem. Experience integrating AI solutions with Microsoft ...

scale datasets using technologies such as Oracle, KDB, or ClickHouse; familiarity with scripting languages (e.g., Python) is also beneficial. Working knowledge of AI and Machine Learning concepts , particularly how data quality, structure, and lineage affect analytical and AI‐driven outcomes. Experience leading analysis‐driven initiatives, mentoring junior team ...

databases, graph databases and NoSQL systems; Familiarity with Linux/Unix environments; Experience with collaborative development tools such as Jira and Confluence; Experience with machine learning approaches, ideally in the context of data discovery. Apply now! Benefits and Contract Information Financial incentives: depending on circumstances, monthly family/ ...

innovation and continuous learning. Communicating complex technical concepts clearly to non-technical stakeholders and project teams. Staying abreast of emerging technologies in data science, machine learning, digital twins and any other innovations relevant to the built environment. ABOUT YOU We value people who can think analytically and creatively ...

ready data engineering pipelines Utilise AWS-based infrastructure and services to deploy and manage data workflows Evaluate and implement a variety of AI and ML solutions to solve complex client problems, integrating models smoothly into production systems Creative visualisation techniques to design impactful, intuitive data visuals and dashboards Adhere ...

Experience with Azure Data Factory, Databricks, Spark, or lakehouse architectures. Exposure to Microsoft 365, Power Platform, or Microsoft Graph API. Understanding of AI/ML workflows and the data requirements that support them. Experience supporting large-scale data migrations or transformation programmes. Background working within architecture, design, engineering, or other ...

risk, or compliance analytics Demonstrable consulting or cross-functional delivery experience in FS or fintech Proven leadership of technical or investigative teams Familiarity with ML, LLMs, or automation in regulatory or fraud contexts Experience in data engineering and AI technologies (Added bonus: Python, Azure, ETL) Key Details Location: London ...

that transform data from operational systems into trusted, analytics-ready assets. Your work will enable high-quality reporting, insight generation, and future AI/ML initiatives across the business. What You'll Do * Build & Maintain Pipelines: Develop ELT/ETL pipelines using dbt, Python, and orchestration tools. * Work with Snowflake ...

Qlik Strong understanding of data modelling, warehousing and ETL/ELT processes Excellent communication and stakeholder management skills Nice to have: Exposure to AI, ML or data science initiatives Experience in large-scale enterprise or regulated environments Familiarity with Big Data technologies or distributed systems This role is ideal ...

industry experience Strong background in Python or similar languages Significant experience with backend development , microservices, and distributed systems Hands-on experience with AI/ML systems , including LLMs, RAG, or vector databases Solid understanding of containerisation and orchestration (Docker/Kubernetes) Experience delivering secure, on-premise or regulated systems Proven ...

/FIXML, messaging systems, or trading workflows Experience building reporting platforms or client-facing web applications Leadership or mentoring experience Exposure to AI/ML tooling or developer productivity automation The Environment Modern engineering culture with strong focus on quality and ownership Cloud-native distributed platform High visibility role with ...

production-grade conversational and generative AI products at scale. The role This is a platform and infrastructure engineering role - not a data science or ML engineering position. You'll own the runtime, infrastructure, and operational layers that RAG pipelines, LLM orchestration, vector search, and evaluation workflows run on, across ...