451 to 475 of 1,106 Machine Learning Jobs in the UK

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 ...

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 ...

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 ...

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 ...

take ownership of technical decisions Nice to have (but not required): Experience with Python in backend, data, or automation contexts Exposure to AI/ML or large language model-based systems Kubernetes and container orchestration experience Tech environment Languages: Java (primary), other JVM languages welcome; Python a plus Frameworks: Spring ...

clear in their application. Relevant practical experience with data analysis and automation (such as Python/SQL/n8n workflows), including building and evaluating ML/optimisation models or rules-based pipelines.* Relevant working knowledge of applied AI in business workflows, ideally including NLP (for conversational interfaces) and/ ...

environments with strict data governance requirements.Engineering Rigor. Track record of building observable, testable, well-documented systems. Experience with CI/CD for data and ML pipelines, data quality frameworks, and infrastructure-as-code practices.Communication & Influence. Ability to translate between deep technical architecture and business strategy. Comfortable presenting to C-suite ...

most critical artificial intelligence and machine learning initiatives. You will oversee the end-to-end delivery of programs that embed AI/ML models and advanced data analytics into our core credit risk decisioning and management processes. This strategic role requires a blend of program management discipline … sophisticated understanding of the AI/ML lifecycle, and deep expertise in the credit risk domain. You will act as the key bridge between data science, technology, business, and control functions to ensure changes are delivered responsibly and effectively. What we’ll offer you A healthy, engaged and well-supported ...

agent AI architectures and tool invocation frameworks Experience with CCaaS platforms (Google CES/CXAS, Genesys, NICE, Amazon Connect) Strong understanding of AI/ML life cycle, MLOps, and data governance Experience working with Tier-1 banks or large financial institutions Certifications Google Cloud Professional Data Engineer (Highly Preferred) Google … Professional Cloud Architect Google Machine Learning Engineer Certifications in Conversational AI (Dialogflow CX or equivalent) TOGAF/Enterprise Architecture certifications Data certifications (good to have): CDMP, Databricks, Snowflake ...

most advanced tech markets in Europe: High-growth AI startups and scaleups Established FinTech and data-led businesses Global organisations investing heavily in ML, cloud, and automation Typical roles will sit across: Data Engineering & Python ecosystems Machine Learning & AI Cloud platforms (AWS, Azure, GCP) Expect high demand, strong ...

Requirements Current Head of AI, Head of Data Science, or Senior AI Lead ready to step up. Proven experience building and scaling AI/ML teams (0–10/0–15) . Insurance experience Strong technical credibility in ML, AI, and enterprise platforms. Hands-on experience with Azure, Databricks … ML tools (TensorFlow, PyTorch, Scikit-learn). Knowledge of Responsible AI, ethical frameworks, and compliance standards . Experience in insurance or regulated financial services preferred. Comfortable presenting to and influencing executives . Collaborative, adaptable, and able to navigate complex stakeholder environments . To apply: Please reach out via LinkedIn ...

cutting-edge AI technologies, including LLMs and agentic frameworks* Work across a broad range of industries and enterprise-scale projects* Strong focus on learning, innovation, and career progression* Collaborative, people-first culture THE PRINCIPAL AI CONSULTANT ROLE You will act as both a technical leader and trusted advisor, helping … senior business and technical stakeholders* Proven experience delivering AI solutions into production* Strong Python/software engineering background* Experience with Azure AI Foundry, Azure ML, Databricks, AWS SageMaker, Bedrock, or similar platforms* Strong understanding of MLOps, CI/CD, observability, and production AI delivery* Experience leading engineering teams and mentoring ...

cutting-edge AI technologies, including LLMs and agentic frameworks* Work across a broad range of industries and enterprise-scale projects* Strong focus on learning, innovation, and career progression* Collaborative, people-first culture THE PRINCIPAL AI CONSULTANT ROLE You will act as both a technical leader and trusted advisor, helping … senior business and technical stakeholders* Proven experience delivering AI solutions into production* Strong Python/software engineering background* Experience with Azure AI Foundry, Azure ML, Databricks, AWS SageMaker, Bedrock, or similar platforms* Strong understanding of MLOps, CI/CD, observability, and production AI delivery* Experience leading engineering teams and mentoring ...

deployment and business adoption. Working within IT and closely with business teams, you will build and implement practical AI use cases using Azure, LLMs, ML, and AI agents ensuring they are secure, integrated, scalable, and actively used. Key Responsibilities Design and build high-performing AI models tailored to specific business … development, and leadership teams to identify and prioritise AI opportunities across the organisation Required ExperienceEssential Deep expertise in Python and relevant AI/ML frameworks and SDKs Proven experience building RAG pipelines that operate effectively in production environments Hands-on experience with model packaging, deployment, and production AI workflows Strong ...

Mathematics, Computer Science, Data Science). Proficiency in SQL and working knowledge of Python and/or R. Understanding of statistical and machine learning techniques (e.g. regression, clustering). Strong communication skills with the ability to explain technical concepts to non-technical audiences. Organised, proactive, and able … platforms (eg Databricks, Snowflake, MS Fabric). Familiarity with MLOps practices and version control tools (e.g. Git). Experience with deployment and maintenance of ML models in production environments. SQL MS Excel Power BI Python and/or R Behaviours: Collaborative and team player Logical thinker with a professional ...

Anaplan Inc is looking for a Principal Machine Learning Engineer in Greater London. In this role, you will lead … architecture, design, and deployment of scalable AI systems. Your work will empower business users to leverage GenAI within their planning workflows, demanding both deep ML knowledge and software engineering skills. The ideal candidate has extensive experience in AI and ML, with a strong understanding of LLMs and prompt engineering. Anaplan ...

regulated environments Strong understanding of ethical frameworks for data and AI (e.g. fairness, accountability, transparency, explainability) Experience applying ethical principles to AI/ML models and data-driven products Knowledge of UK regulatory and ethical standards (e.g. GDPR, ICO guidance, AI assurance frameworks) Familiarity with bias detection, mitigation, and fairness … multidisciplinary teams Responsibilities Define and implement data ethics and responsible AI frameworks aligned to government standards Assess ethical risks in data use, analytics, and machine learning models Provide guidance on fairness, bias mitigation, transparency, and explainability Review and challenge data-driven solutions to ensure ethical compliance and public ...

Agile Scrum delivery teams. Excellent communication, stakeholder engagement and documentation skills. Essentials Experience Significant commercial experience developing enterprise applications using Python. Experience with AI, machine learning or computer vision technologies. Proven experience designing and deploying production-grade web applications and APIs. Experience implementing DevSecOps practices within CI/… responding to requests respectfully, politely, and professionally at all times. Taking an honest approach to business - Is clear, accountable, reliable, knowledgeable, and direc Listening, learning, and finding better ways to make a difference - Looks for opportunities to improve business processes by collaborating with others; is receptive to new ideas ...

will gain exposure to the full lifecycle of AI initiatives, supporting projects that include intelligent automation, Copilot-enabled workflows, advanced analytics and emerging machine learning capabilities. This is a hands-on role, ideal for someone curious about new technologies, including AI agents, and comfortable working at both … Copilot, Copilot Studio, or similar low-code/no-code platforms Basic to intermediate coding skills (e.g. Python) and an understanding of AI/ML concepts Experience exploring or implementing AI use cases, automation or data-driven solutions Familiarity with cloud platforms such as Azure AI, AWS or similar Strong ...

live deployment and business adoption. Working closely with IT, operational, commercial, and leadership teams, you will drive practical AI initiatives using Azure, LLMs, machine learning, and AI agents ensuring solutions are secure, scalable, integrated, and delivering measurable business impact. The organisation is already investing heavily … Required ExperienceEssential Proven experience leading AI strategy, implementation, or AI transformation initiatives within a business environment Deep expertise in Python and modern AI/ML frameworks and SDKs Strong experience building and deploying production-grade AI solutions, including RAG pipelines and LLM-based applications Hands-on experience with AI deployment ...

data modelling, analytics, and data quality principles Degree in Computer Science, Engineering, Data Science, or related field (preferred) Preferred/Bonus Skills Exposure to machine learning or advanced analytics Experience with cloud data platforms If you're a data-driven professional looking to contribute within a cutting-edge ...

Data Science, Data Analytics or Commercial Analytics role Advanced SQL and strong data manipulation skills Experience using Python or R for predictive modelling and machine learning Strong dashboarding and visualisation skills using Tableau, Power BI or similar Excellent commercial awareness and analytical thinking Ability to communicate complex findings ...

they move into production. What you will bring to the role: Extensive experience in enterprise or solution architecture, with a strong focus on AI, machine learning, or distributed systems. Proven expertise in Generative AI technologies, including Large Language Models, agentic frameworks, and vector databases. Strong command ...

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 ...