426 to 450 of 6,120 Machine Learning Jobs in the UK

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 ...

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 ...

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 ...

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 ...

fraud prevention solutions. Raise the team's collective bar through hands-on technical leadership and knowledge sharing. Proactively research and integrate latest developments in ML and payer fraud prevention to drive innovation at GoCardless. What excites youBeing a self-starter who thrives on taking a vague business problem and owning … beyond execution to help define the technical roadmap for Payer Fraud Prevention, ensuring we leverage the best tools for the job. Building production-grade ML models on a streamlined GCP and Vertex AI stack to drive fintech innovation. What excites usYou hold a degree (or PhD) in a STEM discipline ...

output of our rail inspection systems. You will work across the full stack with a strong emphasis on backend data processing, analytics, and machine learning workflows, all hosted on AWS cloud infrastructure. These seats sit close to the ranking and fusion logic itself, so the work … serve data products to internal and external consumers Work with large-scale rail inspection datasets including ultrasonic, electromagnetic, and operational data Implement and deploy machine learning models and statistical analyses in production environments Architect and manage AWS cloud infrastructure for data workloads (S3, Lambda, Glue, Athena, SageMaker, Step ...

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 ...

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 ...

stakeholder management skills, enabling you to translate business priorities into practical operational outcomes. Essential Skills & Experience Significant experience supporting, operating, or maintaining production AI, machine learning, analytics, or data-driven solutions. Strong understanding of AI solution lifecycles, including deployment, monitoring, maintenance, and enhancement. Experience leading technical teams … stakeholder management and communication skills. Ability to prioritise effectively and manage multiple initiatives simultaneously. Strong organisational and leadership capabilities. Desirable Experience supporting Generative AI, machine learning, large language model (LLM), or agentic AI solutions. Experience with Azure AI, Databricks, Microsoft Copilot Studio, Azure OpenAI, Foundry, or similar ...

model execution. The ideal candidate is passionate about biology, enjoys coding and problem solving at scale, and is eager to collaborate across teams of ML scientists, backend engineers, and biologists. Responsibilities Design, implement, and maintain scalable pipelines for biological data processing and analysis Integrate and optimize Bio Foundation Models … production use, collaborating with ML researchers Develop tools and services for data visualization, annotation, and quality control of biological datasets Collaborate closely with AI infrastructure and software engineers to improve workflow reliability and scalability Contribute to the architecture and implementation of backend services and APIs supporting biological workflows Requirements ...

workflows. Experience with advanced retrieval-augmented generation and multi-agent systems. Certifications such as: Databricks Certified Generative AI Engineer AssociateSnowPro Specialty: Gen AIAWS Certified Machine Learning Engineer – AssociateAWS Certified Machine Learning – SpecialtyCFA charterholder or active candidate. FINRA RequirementsFINRA licenses are not required and will ...

diagrams to explain a data processing system on a cloud environment. Knowledge of diagramming notations such as C4, UML, etc. Enthusiasm for learning and self‐development. Experience with agile delivery‐lead projects and applying agile practices such as Scrum, XP, Kanban. Own the cloud infrastructure underpinning data systems through … development and CI/CD. Collaborating with senior stakeholders to gather requirements and maintain engagement. Using pair programming or mob programming techniques. Productionising machine learning models with data scientists. Working knowledge of statistics. Working with multidisciplinary digital and technology teams. Working within the public sector. Benefits 30 days ...

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 ...