676 to 700 of 1,661 Machine Learning Jobs in the UK

still being hands on with technology. We aim to allow growth without becoming “post-technical”. Responsibilities: Collaborate with Data Scientists and Engineers to deliver production quality AI and Machine Learning systems Build frameworks and supporting tooling for data ingestion from a complex variety of sources Consult with our clients on data strategy, modernising their data infrastructure, architecture More ❯

still being hands on with technology. We aim to allow growth without becoming “post-technical”. Responsibilities: Collaborate with Data Scientists and Engineers to deliver production quality AI and Machine Learning systems Build frameworks and supporting tooling for data ingestion from a complex variety of sources Consult with our clients on data strategy, modernising their data infrastructure, architecture More ❯

aspects of data governance• Centralize risk management around data and improve regulatory data compliance requirementsThe platform has been built on leading edge technologies with the focus on developing potential machine learning and data mining capabilities. Responsibilities Metadata Management Lead onboarding of data providers onto the Data Highway platform Manage the complete onboarding process (end to end) of data More ❯

procedures, and documentation to support fab operations and industry compliance (e.g., ISO, VDA, or SEMI standards) Driving digital innovation and automation initiatives, including the use of Artificial Intelligence and Machine Learning for Predictive Maintenance, Yield Optimization, and Smart Factory Solutions, including interfacing with Robotics Ensuring cybersecurity best practices are enforced across all fab-connected systems Overseeing vendor relationships More ❯

procedures, and documentation to support fab operations and industry compliance (e.g., ISO, VDA, or SEMI standards) Driving digital innovation and automation initiatives, including the use of Artificial Intelligence and Machine Learning for Predictive Maintenance, Yield Optimization, and Smart Factory Solutions, including interfacing with Robotics Ensuring cybersecurity best practices are enforced across all fab-connected systems Overseeing vendor relationships More ❯

applicants only, by submitting your application you are agreeing to arbitration of disputes as outlined here. AI Disclosure For select roles, Coinbase is piloting an AI tool based on machine learning technologies to conduct initial screening interviews to qualified applicants. The tool simulates realistic interview scenarios and engages in dynamic conversation. A human recruiter will review your interview More ❯

Azure, GCP). Leadership in Agile environments with budget and delivery focus. Preferred: Exposure to ETL/ELT, SQL/NoSQL, data visualisation, and DevOps. Understanding of AI/ML integration and digital analytics. DONT WAIT APPLY NOW !!! Reference: DRI/AMC/DSA Postcode: SW1 4DF #dari More ❯

and BI tools (e.g., Tableau) Experience handling large, inconsistent, or non-standard datasets with attention to accuracy and detail Understanding of medallion architecture and related data concepts Knowledge of ML or LLM applications, front-end development (Streamlit, Dash, React), or financial reporting is a plus Typically 3-5 years' experience in a Data Engineer or equivalent role Analytical, proactive, and More ❯

services using Azure , with a focus on scalability and performance Integrate APIs, manage data flows (SQL, GraphDB, CosmosDB), and optimise DevOps pipelines Stay ahead of trends in AI/ML tooling, LLM APIs , and modern development practices What You'll Bring 3+ years' experience building enterprise-grade full stack applications Strong backend skills with Python and frameworks like FastAPI or More ❯

services using Azure , with a focus on scalability and performance Integrate APIs, manage data flows (SQL, GraphDB, CosmosDB), and optimise DevOps pipelines Stay ahead of trends in AI/ML tooling, LLM APIs , and modern development practices What You'll Bring 3+ years' experience building enterprise-grade full stack applications Strong backend skills with Python and frameworks like FastAPI or More ❯

services using Azure , with a focus on scalability and performance Integrate APIs, manage data flows (SQL, GraphDB, CosmosDB), and optimise DevOps pipelines Stay ahead of trends in AI/ML tooling, LLM APIs , and modern development practices What You'll Bring 3+ years' experience building enterprise-grade full stack applications Strong backend skills with Python and frameworks like FastAPI or More ❯

data security, compliance, and tools like Microsoft Purview Excellent communication and stakeholder management skills Experience with containerisation and orchestration (e.g., Kubernetes, Azure Container Instances) would be desirable AI/ML integration within data platforms would be advantageous What you'll get in return You'll be part of a dynamic and inclusive team, working on cutting-edge data solutions that More ❯

Integrate data from enterprise systems (e.g. Dynamics, iTrent, Unit4) into a unified data platform. Cleanse, transform, and model data to support BI tools (e.g., Power BI) and AI/ML use cases. Implement data validation, lineage tracking, and metadata tagging for observability and trust. Collaborate with stakeholders to standardise KPIs and support cross-functional reporting. Ensure secure handling of sensitive More ❯

Integrate data from enterprise systems (e.g. Dynamics, iTrent, Unit4) into a unified data platform. Cleanse, transform, and model data to support BI tools (e.g., Power BI) and AI/ML use cases. Implement data validation, lineage tracking, and metadata tagging for observability and trust. Collaborate with stakeholders to standardise KPIs and support cross-functional reporting. Ensure secure handling of sensitive More ❯

Integrate data from enterprise systems (e.g. Dynamics, iTrent, Unit4) into a unified data platform. Cleanse, transform, and model data to support BI tools (e.g., Power BI) and AI/ML use cases. Implement data validation, lineage tracking, and metadata tagging for observability and trust. Collaborate with stakeholders to standardise KPIs and support cross-functional reporting. Ensure secure handling of sensitive More ❯

Integrate data from enterprise systems (e.g. Dynamics, iTrent, Unit4) into a unified data platform. Cleanse, transform, and model data to support BI tools (e.g., Power BI) and AI/ML use cases. Implement data validation, lineage tracking, and metadata tagging for observability and trust. Collaborate with stakeholders to standardise KPIs and support cross-functional reporting. Ensure secure handling of sensitive More ❯

Integrate data from enterprise systems (e.g. Dynamics, iTrent, Unit4) into a unified data platform. Cleanse, transform, and model data to support BI tools (e.g., Power BI) and AI/ML use cases. Implement data validation, lineage tracking, and metadata tagging for observability and trust. Collaborate with stakeholders to standardise KPIs and support cross-functional reporting. Ensure secure handling of sensitive More ❯

Integrate data from enterprise systems (e.g. Dynamics, iTrent, Unit4) into a unified data platform. Cleanse, transform, and model data to support BI tools (e.g., Power BI) and AI/ML use cases. Implement data validation, lineage tracking, and metadata tagging for observability and trust. Collaborate with stakeholders to standardise KPIs and support cross-functional reporting. Ensure secure handling of sensitive More ❯

documentation and communication skills to support team alignment and client interactions. Passion : Enthusiasm for automation, API-driven solutions, and creating user-centric experiences. Desirable Skills Experience with AI/ML integration for lead scoring or customer segmentation. Knowledge of additional cloud platforms (e.g., Google Cloud, Azure) or containerisation (Docker, Kubernetes). Familiarity with Ideal Postcodes API or similar geolocation services. More ❯

a fast-moving environment, bringing structure and clarity to complex problems. 5+ years experience in industry, and at least 2+ years of experience in developing and deploying AI/ML solutions and automating workflows in a professional setting Proficiency in CRM/CAFM systems desirable and a deep understanding of their functionalities. Previous experience working within an M&E environment More ❯

Client Engagement Team manages account relationships, solutions, implementation, and client service for various Lines of Business and Corporate Functions. You will have a curious and commercial mindset, interested in learning about internal client use cases, and contribute significantly to defining and helping clients implement integrated solutions with the Fusion Platform. Job responsibilities Lead solutioning and adoption of existing and … with clients to understand requirements and support the implementation of data and AI solutions. Represent the Product Roadmaps, articulating benefits and providing guidance on strategic paths. Develop AI/ML experiments, applications, and tools, including tutorials and presentations for internal clients. Provide feedback to product and engineering teams to shape product development and strategy. Manage multiple tasks, client engagements, and … continuous learning to stay current with trends. Manage office hours for education, demos, and feedback collection from internal clients. Coordinate across teams to implement integrated solutions. Required qualifications, capabilities, and skills Extensive experience or expertise in problem-solving across multiple teams and products. Experience in sales cycles and engaging with clients, including modifying solutions for complex problems. Experience working More ❯

different audiences (including writing specs, knowledge base articles, and release notes) You have experience and/or desire to develop skills in the areas of accessibility, using AI/machine learning, use of data analytics, accessibility, mobile app development You love solving problems, have an inquisitive mind, and are highly logical and technical in your thinking and approach … experienced and successful colleagues and leaders We promise to offer career development and progression opportunities as the business continues to grow We provide access to a wide variety of learning resources & materials (including LinkedIn Learning licence), plus an individual annual training budget which can be spent towards your own professional development Competitive base salary Great benefits including a More ❯

different audiences (including writing specs, knowledge base articles, and release notes) You have experience and/or desire to develop skills in the areas of accessibility, using AI/machine learning, use of data analytics, accessibility, mobile app development You love solving problems, have an inquisitive mind, and are highly logical and technical in your thinking and approach … experienced and successful colleagues and leaders We promise to offer career development and progression opportunities as the business continues to grow We provide access to a wide variety of learning resources & materials (including LinkedIn Learning licence), plus an individual annual training budget which can be spent towards your own professional development Competitive base salary Great benefits including a More ❯

high-performance computing (HPC), cloud platforms, and AI-ready infrastructures—driving innovation across disciplines. This role blends technical expertise with strategic vision, supporting everything from big data analysis and machine learning to qualitative research and open science initiatives. You’ll collaborate with world-class academics, IT professionals, and external partners to deliver environments that are not only powerful … but also ethical, compliant, and future-proof. What You’ll Be Doing Build and optimise research environments tailored to diverse computational needs—from econometrics to NLP. Integrate AI/ML frameworks and containerisation tools to enhance reproducibility and scalability. Streamline workflows with automation, job scheduling, and CI/CD pipelines. Champion secure, federated access for collaborative research across institutions. Deploy More ❯

systems. THE ROLE Develop and deploy iOS apps (Swift/Objective-C, iOS SDK, App Store). Integrate RESTful APIs and backend services into iOS applications. Embed AI/ML features (NLP, recommendation engines) into mobile workflows. Deliver compliant and secure fintech solutions (GDPR, OAuth, encryption). TECH STACK/REQUIREMENTS Experience managing projects end-to-end (greenfield exp.) Strong … expertise in iOS development (Swift/Objective-C, iOS SDK, App Store deployment) Track record delivering secure mobile applications (fintech preferred) Experience integrating AI/ML components into mobile apps Security/compliance awareness (GDPR, OAuth, encryption) Exposure to backend development (Python, Java, .NET) - desirable Familiarity with Azure/AWS cloud integration - desirable Understanding of SQL/NoSQL databases - desirable … Experience with CI/CD, Docker, Kubernetes - desirable TO BE CONSIDERED Please apply directly by emailing with your CV and availability. KEYWORDS: Contract iOS Developer, Mobile Engineer, AI/ML iOS Integration, FinTech iOS Developer, Swift Developer, Objective-C Developer, Outside IR35, Remote More ❯