376 to 400 of 1,141 Machine Learning Jobs in the UK

Data Lake and Synapse environments Data pipelines and ETL/ELT processes SQL and analytics datasets Power BI reporting and data models AI and machine learning-enabled insights API integrations and connected data services Alongside delivering hands-on engineering work, youll mentor Data Engineers and Power BI developers … data modelling ETL/ELT pipeline design Azure Synapse Azure Data Lake Microsoft Fabric Power BI Azure DevOps API integrations Exposure to AI, ML or Copilot-enabled initiatives Just as important are communication skills, curiosity and the ability to work collaboratively across teams. Why Join? £60,000 - £70,000 salary ...

Data Lake and Synapse environments Data pipelines and ETL/ELT processes SQL and analytics datasets Power BI reporting and data models AI and machine learning-enabled insights API integrations and connected data services Alongside delivering hands-on engineering work, youll mentor Data Engineers and Power BI developers … data modelling ETL/ELT pipeline design Azure Synapse Azure Data Lake Microsoft Fabric Power BI Azure DevOps API integrations Exposure to AI, ML or Copilot-enabled initiatives Just as important are communication skills, curiosity and the ability to work collaboratively across teams. Why Join? £60,000 - £70,000 salary ...

Senior ML Platform Engineer London 5 Days a Week In Office £550-£700 Per Day, Outside IR35 Immediate Start The Company They are a technically ambitious organisation building advanced machine learning systems tightly integrated with real-world systems. Their platform supports the full lifecycle from data collection through … data collection and dataset workflows. Design and maintain robust recording and orchestration systems that scale across robots, sensors, and lab environments. Collaborate with the ML team on dataset builders, ingestion pipelines, and infrastructure supporting large-scale distributed training. Partner with robotics engineers on ROS2 integration, on-robot deployment, and clean ...

data standards, taxonomies, and validation rules for submission content Champion the transition from document-centric to data-centric regulatory processes Identify where AI/ML can accelerate structured data extraction, validation, and submission assembly AI & Intelligent Automation Define product requirements for AI-powered capabilities including NLP-based document parsing … assisted content generation, and automated data validation Work with data science and ML engineering teams to shape, validate, and deploy AI models within submission workflows Ensure AI features meet regulatory explainability, auditability, and compliance requirements (e.g., EU AI Act, FDA AI/ML guidance) Evaluate and integrate third-party ...

Eaglecliff is seeking a senior AI/ML Research Engineer to join their innovative GenAI Team in Greater London. This role involves designing, developing, and deploying scalable AI/ML solutions, focusing on creating production-grade machine learning systems. The ideal candidate will have over 10 years ...

expertise in the fields of data science and machine learning Expert‐level Python programming with a focus on implementing diverse statistical and ML techniques Deep theoretical foundation in statistics, experimental design, and advanced modelling Proven track record of deploying end‐to‐end data science solutions into production Leadership ...

internet actually works Experience with Splunk & SPL SQL or similar data manipulation skills Exposure to network security products HTML, CSS, JavaScript Data Science or Machine Learning experience Location & Flexibility Edinburgh-based engineers : hybrid working (typically 2 days in office) Fully remote options available for the right candidate Cutting ...

reporting, and business insight generation. Experience working with ERP systems, preferably Microsoft Dynamics 365 Business Central (BC) and/or Syspro Understanding of AI, machine learning, automation tools, and modern analytics techniques Ability to interpret complex datasets and communicate findings clearly to non-technical stakeholders Excellent communication ...

Preferred Qualifications Experience with data analytics tools (e.g., SQL, Tableau, Python) to derive insights and support decision-making. Familiarity with emerging technologies like AI, machine learning, and DLT within financial services. Prior experience working within a financial services technology platform or a similar business unit. ...

utilising strong experience in metadata management. Collaborate with data engineers to develop data, enrich product design, and integrate data for predictive models or machine learning. Deliver well-defined, transformed, tested, documented, and code-reviewed datasets for analysis. Evaluate and recommend improvements in data flow, influencing and supporting architects ...

operational readiness: testing strategy, CI/CD, release notes, production deployment governance, and incident/root-cause management. Identify and deliver pragmatic AI/ML opportunities where valuable (e.g., agentic workflows, RAG/LLM-enabled capabilities) with appropriate governance and human-in-the-loop controls. What you need to have ...

requirements into robust software solutions. Champion software engineering best practices: documentation, testing, version control, and security. Evaluate and adopt emerging technologies, including AI/ML tools, to improve developer productivity and system capabilities. Contribute to grant applications, publications, and presentations relating to software infrastructure where appropriate. You have Degree ...

FinOps principles) - Awareness of agile delivery methodologies (Scrum or Kanban). Desirable: - Experience with DBT (Data Build Tool) or Prefect. - Awareness of AI/ML data preparation and the security implications of LLM training data. - Knowledge of housing, asset management, or repairs systems (ideally Civica Cx and Total Mobile Service ...

ship with confidence. Key Skills: - Solid programming skills in Python (plus experience with web libraries like FastAPI, Flask, or Django) - Hands-on experience with ML model deployment and monitoring in production Knowledge of containerization (Docker) - Experience with CI/CD pipelines and cloud environments (we use Azure) Assignment Objectives - Implement … improve model monitoring and operational controls for AI/ML systems. - Build and maintain robust ML pipelines for training, deployment, and monitoring - Develop backend systems and APIs that integrate AI into our SaaS platform - Take ownership of the ML performance, monitoring, availability, and security - Define drift, unexpected-output ...

Desirable Experience with AWS, Azure, or Google Cloud Docker and Kubernetes experience Knowledge of event-driven architectures and message queues Exposure to data engineering, machine learning, or AI platforms Experience leading technical projects or mentoring engineers What We Offer Competitive salary and performance bonus Flexible and hybrid working … arrangements Private healthcare Pension contribution Learning and development budget Modern equipment and tools Clear progression opportunities into Lead and Principal Engineering roles Cooperative, inclusive, and high-performing engineering culture RSG Plc is acting as an Employment Agency in relation to this vacancy. ...

highly experienced AI Lead who combines deep technical expertise with team leadership. In this role, you will design, build, and maintain AI/ML capabilities, models, and LLM‐powered solutions that power our products and customer experiences. You will lead a squad of AI engineers and data scientists, ensuring high … role, with approximately 70% focused on technical delivery and 30% on team leadership and process optimisation. What you’ll be doing Deliver AI/ML Capabilities Design, build, and deploy scalable AI/ML models, APIs, and LLM‐based solutions (e.g. agents, chatbots) Ensure solutions are secure, reproducible, and aligned ...

best practices Deploy and manage data solutions across the development lifecycle Work across multiple squads on varied engineering problems Collaborate with data, platform, and ML engineers on new capabilities Opportunity to gain exposure to data modelling and machine learning projects YOUR SKILLS AND EXPERIENCE: Experience with Python ...

processes and enable technology solutions, including AI; determine fit‐for‐purpose solutions across sales and marketing motions. AI, Data & Digital: Operationalize AI/ML and GenAI across commercial, supply chain, service, and R&D use cases, grounded in robust data governance and security. Use data and analytics to deliver actionable … product management, agile delivery, and portfolio governance; ability to connect roadmaps to measurable outcomes. Fluency with cloud, APIs, data platforms, analytics, and AI/ML/GenAI; hands‐on leadership implementing these capabilities beyond pilot stages. Experience modernizing legacy environments while introducing new digital and AI‐enabled solutions safely ...

across industries, and partner with leading global research organizations and universities to solve problems. Our team is a group of quantitative researchers, engineers, and ML experts leading foundation model research and trading at Jump. Our mission is to combine emerging techniques and original research to generate signals from financial market … data and monetize it globally. We are building the future of ML-powered trading through breakthrough foundation models, and we\'re looking for an exceptional Pre-Training Engineer to join our team. What You\'ll Do As a Pre-Training Research Engineer , you\'ll be at the forefront of developing ...

annum SC cleared The Opportunity Help deliver cutting-edge software solutions. You'll work on complex, real-world challenges using modern technologies like machine learning, edge computing, and DevOps automation to accelerate capability deployment. The Role You'll contribute to the development, release, and support of operational systems ...

/ELT processes Data transformation Data orchestration Version control and release management Experience working in Agile delivery teams. Desirable Experience Exposure to AI, Machine Learning or Generative AI initiatives. Knowledge of data governance and data quality frameworks. Experience working within complex enterprise environments. Familiarity with CI/ ...

Power Automate). Experience working with CRM data, preferably Salesforce. Strong understanding of data modelling, analytics, and data quality principles. Preferred Skills Exposure to machine learning or advanced analytics. Familiarity with cloud data platforms and automation tools. Relevant professional certifications are advantageous but not essential. Soft Skills Excellent ...

similar (E) Strong understanding of data modelling (E) Programming skills in Python and/or Scala for data processing (D). Experience with machine learning pipelines or MLOps frameworks (D). Personal Attributes: Confident communicator able to engage both technical and non-technicalaudiences. Proactive, innovative, and committed ...

communication skills Experience operating within Agile delivery environments Desirable Experience Microsoft Fabric Power BI development PySpark REST API integrations Lakehouse architectures AI and Machine Learning platforms Retrieval Augmented Generation (RAG) Vector databases Generative AI solutions Power Platform technologies Data transformation or modernisation programmes What We're Looking ...

advanced models and tools to assess risk and predict P&L. You will drive strategic initiatives using state-of-the-art AI and machine learning, partnering closely with senior stakeholders and technology teams. Your role offers significant ownership of large-scale analytics projects, automation of reporting processes ...