351 to 375 of 5,524 Machine Learning Jobs in the UK

architectures that deliver scalability, resilience, security, compliance and operational supportability. AI and Modern Data Innovation Design AI-ready data platforms that support advanced analytics, machine learning and Generative AI workloads. Architect solutions leveraging Azure AI Services, Microsoft Foundry, Copilot Studio, Azure OpenAI and Microsoft Fabric capabilities where appropriate. … leadership across multiple projects whilst ensuring consistent quality and delivery excellence. Data and AI Expertise Demonstrable experience designing modern data platforms supporting analytics, reporting, machine learning and AI workloads. Strong understanding of data architecture, data modelling, master data management, governance and data lifecycle management. Experience implementing scalable ...

using agile principles and quality assurance Can apply software engineering principles and concepts eg using Git and Python Can build and deploy production ready machine learning pipelines eg using Python Comprehensive cloud understanding Comfortable designing user interface solutions for Machine Learning applications Advanced data wrangling skills … large data eg using SQL, Python Can apply advanced spreadsheet modelling to complex problems eg using Excel Able to apply a range of advanced machine learning and multivariate techniques Proficient in use of Microsoft Office, including advanced Excel and Powerpoint Skills Advanced analytical skills, including the ability ...

expertise in any of Python/KDB/C++, for real-time data processing, application development, or data engineering. Working knowledge of AI technologies(machine learning, generative AI, etc.) to support data engineering, analytics, or SDLC automation. Proficiency in automation and continuous delivery methods; advanced understanding of agile … environments in public cloud. Strong knowledge and experience in FIX, Market Data, Analytics, OMS, and equities trading in global markets are assets. Knowledge of machine learning, statistical techniques, and related libraries. #J-18808-Ljbffr ...

Build and maintain robust, reproducible data pipelines using public, proprietary, open-source and official datasets. Work with large, unstructured and novel datasets, applying statistical, machine learning and NLP techniques. Develop consistent methodologies and analytical tools that can be used across multiple projects and sectors. Develop responsible and repeatable … from research design and data collection through to client-ready outputs. Experience working with large, unstructured or novel datasets. Experience with APIs, statistical modelling, machine learning and AI tooling. Strong data visualisation and report-writing skills. Excellent communication skills and confidence explaining technical analysis to non-technical audiences ...

processes giving Markerstudy a critical advantage in the increasingly competitive insurance market by minimizing the development to deployment and monitoring stages of the ML lifecycle through automation. You will also be responsible for refining, tuning, deploying and maintaining machine learning methods in our machine learning pipeline … customer-centric offerings across Motor, Home and Commercial Lines businesses. The successful candidate will also enjoy opportunities for leading, coaching, and mentoring more junior ML Engineers. Key Responsibilities: Report and communicate with Senior Stakeholders, such as the Head of Data Science and Machine Learning and Director of Technical ...

early stage. As an experienced technical leader and researcher, you'll use advanced predictive and prescriptive methods (causal inference, stochastic simulation, Bayesian hierarchical modelling, machine learning and more) to tackle real strategic and operational questions, e.g., forecasting the financial and population health impact of a new service before … world strategic and operational problems. Considering user needs, data quality and management, user experience and engagement, deployment, and making best use of statistical and machine learning methods. Rigorously applying appropriate advanced statistical and data science methodologies to generate robust and reliable insights communicated with appropriate levels of uncertainty ...

stack applications using Java/Springboot, C#/.NET, Python and REACT , drive architectural decisions, establish technical standards, and lead exploration of AI/ML integration opportunities that transform workflows Offer influence and mentorship – Partner with product managers, analysts, and senior stakeholders as a trusted technical advisor, mentor engineers, facilitate … pipelines, and hands-on cloud expertise with microservices and cloud-native architecture AI curiosity and exploration mindset – Genuine interest in how AI/ML, generative AI, or intelligent automation could transform software delivery, business processes, systems and applications; experience experimenting with new technologies and evaluating practical applications; comfort with emerging ...

GDPR, data privacy, and information security Awareness of data models in a Medalion Architecture Experience building Semantic, Metric or Analytic models Experience of building Machine Learning models Any experience in MLOps or operationalising Machine Learning Knowledge of Data Quality Frameworks in Python Qualifications: Industry focused degree ...

GDPR, data privacy, and information security Awareness of data models in a Medalion Architecture Experience building Semantic, Metric or Analytic models Experience of building Machine Learning models Any experience in MLOps or operationalising Machine Learning Knowledge of Data Quality Frameworks in Python Qualifications: Industry focused degree ...

data in real-time, the structuring, storage and processing of that data for insight, to the usage of the data in event driven applications, ML and AI. As a Senior Manager Architect in Data you will be an experienced technical leader bringing business, industry and deep technical understanding to shape … specific expertise in Distributed Data Processing architectures (Spark, PySpark, Python, Airflow), ELT data processing underpinning Data LakeHouses and Data Products for scaled use within ML & AI Expertise in Streaming Data, Event Driven Design, Data Governance & the AWS Cloud Technology stack (e.g. Glue, ServerLess, DynamoDB) A track record in leading ...

manage their data with efficiency and ease. You will work closely with people from a wide variety of domains: Product Data Scientists, Analytics Engineers, ML Engineers, MLOps, MarTech and other Data Engineering teams. You will help manage our growing data needs and support increasingly complex business problems by building … securely, using modern tooling such as Kafka, Terraform, Docker, and cloud‐native patterns Lead technical initiatives: Lead initiatives working with end users: data scientists, ML engineers, analytics engineers, product engineers and beyond to enable, support and accelerate their data needs, embracing a platform as product mindset Uphold operational excellence: building ...

GDPR, data privacy, and information security Awareness of data models in a Medalion Architecture Experience building Semantic, Metric or Analytic models Experience of building Machine Learning models Any experience in MLOps or operationalising Machine Learning Knowledge of Data Quality Frameworks in Python Qualifications Industry focused degree ...

data in real-time, the structuring, storage and processing of that data for insight, to the usage of the data in event driven applications, ML and AI. As a Senior Manager Architect in Data you will be an experienced technical leader bringing business, industry and deep technical understanding to shape … specific expertise in Distributed Data Processing architectures (Spark, PySpark, Python, Airflow), ELT data processing underpinning Data LakeHouses and Data Products for scaled use within ML & AI Expertise in Streaming Data, Event Driven Design, Data Governance & the AWS Cloud Technology stack (e.g. Glue, ServerLess, DynamoDB) A track record in leading ...

including asset managers, pension funds, hedge funds, and sovereign wealth funds. The successful candidate will bring a unique blend of equity research, quantitative modelling, machine learning, and platform development expertise, with the ability to translate complex datasets into differentiated investment insights while driving innovation across the research process. … equity market structure and investment processes, with expertise in cross-sectional and time-series modelling, factor research, and the application of statistical and machine learning techniques to investment research and alpha generation. Communication & Intellectual Curiosity - Excellent written and verbal communication skills, with the ability to communicate sophisticated quantitative ...

design. All underpinned by technology created with purpose. We’re looking for GenAI/Agentic Engineers who want to shape the future of Machine Learning, Generative AI and Agentic AI. You will be tasked with building and deploying intelligent systems that combine cutting-edge models, agentic frameworks … pitch contribution, and client hosting at events. Internal contribution – Campaign development, internal think-tanks, whitepapers, practice development (operations, recruitment, team events & activities), offering development. Learning & development – Training to support your career development and the skills demand within the company, certifications etc. YOUR PROFILE We’d love to meet someone ...

marketplace efficiency, partner ROI, and revenue growth Own ad relevance initiatives that enhance the quality and personalization of sponsored listings for travelers Partner with machine learning and engineering teams to design, implement and optimise auction algorithms that balance traveler experience, partner value, and business objectives Define success metrics … digital advertising, marketplace platforms, or auction-based systems Proven track record of launching and scaling technical products that drive meaningful business outcomes Experience with machine learning applications, preferably in advertising or marketplace optimization Strong analytical skills with experience using data to inform product decisions and measure success Proficient ...

restricted environments. About the Team Learn more about our work and the team on our website, recent blog post featuring one of our senior machine learning engineers and our latest Voices of Viridien. Key responsibilities Design and implement production architectures for agentic AI, LLM and vision‐language applications. … your choice! Buy & Sell Holiday Programme - you can buy extra holiday, sell unused holiday or even save it up! Relaxed dress code policy Learning and Development At Viridien, we foster a culture of continuous learning and provide tailored training programs through our Learning Hub, designed to enhance ...

high-ownership role working centrally across the business. You'll partner with teams spanning Commercial, Marketing, Product, Finance, Engineering and Operations — developing and deploying ML and AI solutions that drive outcomes across both sides of our marketplace. The problems you'll work on are genuinely varied: pricing models, propensity … deliver them end-to-end, from first principles through to being deployment-ready and beyond. WHAT YOU'LL BE DOING End-to-End ML & AI Delivery: Lead data science initiatives from problem framing through to deployment, monitoring, and iteration — delivering the full production lifecycle. With no dedicated ML engineering function ...

projects Excellent communication and presentation skills with ability to influence and advise executive stakeholders up to C-level Deep expertise in artificial intelligence, machine learning and generative AI applications with strong knowledge of MLOps and LLMOps lifecycles Advanced understanding of cloud-scale data platforms such as AWS, Azure … pension plan Cyclescheme, Techscheme and season ticket loans Various perks such as free Wednesday lunch in-office, on-site massages and regular social events Learning and development opportunities including in-house training and coaching, professional certifications, and courses If otherwise eligible, participation in the discretionary annual bonus program ...

About Signal Ocean Signal Ocean is the technology arm of the Signal Group, providing market-leading advanced machine learning and AI-driven intelligence to shipping and commodities professionals worldwide. Our platform delivers tailored, exclusive insights through web, mobile, and API interfaces, enabling clients to make faster, better-informed … while diving deep into our products and/or the shipping world. Career growth opportunities and a structured development discussion every 4 months. Personal learning budget for training, seminars, conferences (750 to 2000 EUR annually depending on seniority). Regular team bonding events and activities. Fitness benefits to support ...

dashboards and data visualisations Apply model governance practices, including documentation, version control and validation protocols Evaluate new technologies and methodologies, including artificial intelligence and machine learning Support product development and market research through data analysis and quantitative modelling Collaborate with Enterprise Technology, Information Technology and Investment Risk Management ...

looking for a Machine Learning Engineer to shape and scale their pricing technology. In this role, you'll design and own ML platforms that streamline pricing workflows, support rapid model deployment, and ensure models perform reliably at scale. Partnering with Data Science, Actuarial, and Product teams. Responsibilities: Build … support ML lifecycle tooling for model deployment, monitoring, and alerting Maintain and improve the Kubeflow environment for Data Scientists and Actuaries Create pricing analytics tools to accelerate impact analysis and reduce manual work Collaborate with pricing and product teams to deliver high-impact tooling Communicate complex concepts clearly to technical ...

governance, security, privacy, lineage and quality, and how these are embedded into architecture and delivery. An understanding of the data requirements of AI and machine‐learning applications, including securely making structured and unstructured enterprise data available to AI solutions. A good understanding of modern software engineering and SDLC … architectural decisions and trade‐offs to technical and non‐technical colleagues. Desirable experience Architecting applications or platforms incorporating generative AI, large language models or machine learning. Designing data and integration architectures for AI applications, including retrieval and grounding approaches. Building internal developer platforms, shared services or reusable application frameworks. ...

capabilities, and skills Practical experience delivering system design, application development, testing, and operational stability at enterprise scale Experience designing and deploying production AI/ML systems, including LLM-based applications and agentic architectures in regulated environments Proficiency in one or more programming languages, particularly Python and/or PySpark Advanced … knowledge of software application development and technical processes in disciplines such as cloud, AI/ML, or data engineering Experience in large-scale data processing, microservices, API design, and orchestration frameworks Working knowledge of relational and NoSQL databases, vector stores, and data lake architectures Familiarity with observability tools and frameworks ...

commitments, and burst strategies. Inform buy-versus-build and capacity investment decisions with evidence. Technical Advisory and Enablement: Partner with software engineers, data scientists, ML engineers, platform engineers, product managers, and security to turn objectives into architecture and architecture into actionable roadmaps. Mentor engineers and fellow architects, and raise … platform engineering, including at least 3 years in a dedicated architecture or solution architecture role and 3 years working on Data, Cloud, AI/ML platforms or workloads. Demonstrated ownership of enterprise-scale hybrid or multi-cloud architectures spanning on-premises and public cloud environments, from design through adoption. Deep ...