476 to 500 of 3,213 Machine Learning Jobs in the UK

stories and functional documentation. Strong stakeholder management and communication skills. Experience working within Agile delivery environments. Desirable Experience: Exposure to AI, Generative AI or Machine Learning projects. Experience working alongside Data Engineers, Data Scientists or Analytics teams. Understanding of data pipelines, governance and modern cloud technologies. Industry experience ...

stories and functional documentation. Strong stakeholder management and communication skills. Experience working within Agile delivery environments. Desirable Experience: Exposure to AI, Generative AI or Machine Learning projects. Experience working alongside Data Engineers, Data Scientists or Analytics teams. Understanding of data pipelines, governance and modern cloud technologies. Industry experience ...

techniques including TDD, BDD, pair/mob programming, CI/CD and DevSecOps Foster and support Communities of Practice, cross-team initiatives, and shared learning opportunities Lead by example in coding, peer reviews, architecture discussions and issue resolution Facilitate team retrospectives, planning sessions and technical roadmap development Coach engineers … accessibility best practices throughout the development lifecycle Design and deliver workshops to support engineering capability uplift and team learning Contribute to emerging ML/AI-enabled development tooling initiatives, promoting awareness and effective adoption within teams Essential Criteria – Skills and Attributes for Success Experience/Technical Proven leadership ...

techniques including TDD, BDD, pair/mob programming, CI/CD and DevSecOps Foster and support Communities of Practice, cross-team initiatives, and shared learning opportunities Lead by example in coding, peer reviews, architecture discussions and issue resolution Facilitate team retrospectives, planning sessions and technical roadmap development Coach engineers … accessibility best practices throughout the development lifecycle Design and deliver workshops to support engineering capability uplift and team learning Contribute to emerging ML/AI-enabled development tooling initiatives, promoting awareness and effective adoption within teams Essential Criteria – Skills and Attributes for Success Experience/Technical Proven leadership ...

Advanced knowledge of software applications and technical processes with considerable in‐depth knowledge in one or more technical disciplines (e.g., cloud, artificial intelligence, machine learning, mobile, etc.) Ability to tackle design and functionality problems independently with little to no oversight Experience in Computer Science, Computer Engineering, Mathematics ...

/CD, Application Resiliency, and Security. Demonstrated proficiency in software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.). Interest in financial markets and trading, with the ability to work directly with Credit Sales and Trading teams to deliver impactful ...

share best practices at scale, including through the creation of technical content and reference architectures, for a variety of use cases, e.g., Artificial Intelligence & Machine Learning, Serverless and Container-based architectures, Analytics and Big Data, DevOps, and Security. You will have the support to grow your expertise … features or write a blog post sharing best practices. Throughout the day, you'll balance relationship-building with technical work, continually learning to keep up to date with evolving technologies. About the team About AWS Diverse Experiences AWS values diverse experiences. Even if you do not meet ...

issues and identify innovative solutions. Desirable Degree in Computer Science, Information Systems or a related discipline, or equivalent experience. ITIL Foundation certification. Experience with machine learning concepts or supporting data science initiatives. Knowledge of Agile delivery methodologies. What We Offer Salary of £60,000 per annum. Hybrid working ...

veteran employment opportunities to our service men and women. As you bring your skills and abilities to Avanade, you’ll get distinctive experiences, limitless learning, and ambitious growth in return. As we continue to build our diverse and inclusive culture, we become even more innovative and creative, helping … direction using data platforms, reporting, self-service analytics, real time intelligence and AI engineering. Using the power of modern data platforms, visualizations, advanced analytics, machine learning, IOT/Digital Twins and applied intelligence, we help clients gain business insights to optimize their operations, drive innovation, and make more ...

agentic systems. Visa sponsorship available for UK-based candidates (must be exceptional) If you're driven and passionate about the new generation of Machine Learning and AI and want to play a pivotal role in developing the Generative AI function of a leading organisation, it'd be great ...

/CD, Application Resiliency, and Security Demonstrated proficiency in software applications and technical processes within a technical discipline (such as cloud, artificial intelligence, machine learning, or mobile) In‐depth knowledge of the financial services industry and IT systems Practical cloud native experience Preferred Qualifications, Capabilities, and Skills: Experience ...

geographical areas (Europe, Americas, Asia, Africa and Oceania). Role: Statistical data processing (Data Mining) Artificial Intelligence (AI), including generative AI Predictive modeling using Machine Learning and Data Science techniques Time-series modeling (ARIMA and panel data models) and simulation models (Monte Carlo) Development, validation and audit ...

index teams to operationalize index methodologies. Develop new tools and capabilities to perform portfolio construction or analytics independently, including the use of statistical and machine learning techniques. Explore AI implementation for research and portfolio analysis. Publish white papers, factsheets, client presentations, and other collateral to support ...

validate AI‐generated analytical answers for accuracy, context, assumptions, source data, and business meaning Working knowledge and skills in data science, AI, and machine learning applications in analytics and reporting, including responsible use controls Ability to work with engineers and modellers to translate business requirements into governed data ...

validate AI‐generated analytical answers for accuracy, context, assumptions, source data, and business meaning Working knowledge and skills in data science, AI, and machine learning applications in analytics and reporting, including responsible use controls Ability to work with engineers and modellers to translate business requirements into governed data ...

their career. This is an opportunity to apply your expertise to distil complex problems into meaningful, actionable insights -leveraging world-first science, cutting-edge machine learning techniques and human creativity to deliver impactful solutions for clients. Joining our advanced data science team, you'll be responsible ...

will contribute to our agenda to transform the investment bank into a data-driven business, promoting change through state-of-the-art AI and machine learning techniques. This is a hands-on, implementation-focused role, and we are looking for someone with proven experience designing and building scalable ...

business stakeholders. Experience designing scalable cloud architectures and integrating with enterprise systems. Familiarity with common LLM frameworks and tools or a background in machine learning or data science. Excitement for engaging in cross‐organizational collaboration, working through trade‐offs, and balancing competing priorities. A love of teaching, mentoring ...

/CD, Application Resiliency, and Security Demonstrated proficiency in software applications and technical processes within a technical discipline (such as cloud, artificial intelligence, machine learning, or mobile) In-depth knowledge of the financial services industry and IT systems Practical cloud native experience Preferred Qualifications, Capabilities, and Skills: Experience ...

innovation and technical excellence. You will play a key role in shaping our technology roadmap and mentoring engineers as well as leveraging AI and machine learning to drive innovation and deliver smarter solutions. Together, we’ll build solutions that make a difference. Job Responsibilities: Lead the design, development ...

sales lifecycle in a technical pre‐sales capacity. You will have a technical background in Data Engineering or Data Warehousing (DWH) or a Machine Learning/AI background You will be working with our Utilities customers, focusing on establishing the Databricks Data Intelligence Platform as their platform ...

scale our data engineering pipelines, specifically handling high-resolution geospatial and climate datasets. You’ll partner closely with our data scientists to integrate machine learning models and LLM workflows, helping to automate underwriting insights and power our real-time risk dashboard. You’ll make critical architectural decisions ...

sales lifecycle in a technical pre‐sales capacity. You will have a technical background in Data Engineering or Data Warehousing (DWH) or a Machine Learning/AI background You will be working with our largest customers across all vertical sectors, focusing on establishing the Databricks Data Intelligence Platform ...

science capabilities to firm, practice group and client priorities Accountable for the architecture and lifecycle of the data platform, covering ingestion, storage, analytics and machine learning Enable data science and advanced analytics use cases including predictive models, experimentation, AI and GenAI within a governed environment Ensure the platform ...

Fabric platform architecture and governance. Cloud data platform design and strategic architecture. AI Agents, Microsoft Copilot Studio and agentic AI solutions. Azure AI and Machine Learning technologies. Working closely with AI-focused delivery teams and AI initiatives. Coaching and mentoring junior engineers. Data platform strategy and enterprise data ...