1,426 to 1,450 of 6,477 Machine Learning Jobs in the UK

product backlog. · Global approach - encourage a global view on initiating and delivering SW to meet global needs, laws and regulations. · AI/ML – expertise in SW products enabled via one or more of the following technologies: artificial intelligence/machine learning, medical image analysis, NLP, big data, etc. ...

building production-grade machine learning systems for high-impact clients across national security, government and AI safety. This is a hands-on ML engineering role for people who want to take models from research and experimentation through to production, working on technically challenging problems where AI has real … world impact. Youll work alongside machine learning engineers, data scientists and technical teams to design, build and deploy scalable ML systems - with the autonomy to shape technical approaches and engineering best practice. What youll be doing Build and deploy production-grade machine learning models, systems ...

building production-grade machine learning systems for high-impact clients across national security, government and AI safety. This is a hands-on ML engineering role for people who want to take models from research and experimentation through to production, working on technically challenging problems where AI has real … world impact. Youll work alongside machine learning engineers, data scientists and technical teams to design, build and deploy scalable ML systems - with the autonomy to shape technical approaches and engineering best practice. What youll be doing Build and deploy production-grade machine learning models, systems ...

large AI models, reinforcement learning, synthetic data and multi-agent systems. You'll combine hands‐on engineering with research, building and experimenting with ML systems, developing robust research infrastructure and working alongside researchers on complex, rapidly evolving problems. Non negotiable skills: 2+ years' hands-on Machine Learning/AI experience - including ML, artificial intelligence, recommendation systems or pattern recognition. Strong Python programming skills Experience developing ML models at scale Experience running complex experiments with large AI models and datasets. Strong understanding of the scientific/research process and the ability to investigate why approaches succeed ...

promote new and leading-edge technologiesFoster a team culture of opportunity, inclusion, and respectRequired Qualifications, Capabilities, and Skills: Proficiency in Engineering & Architecture, AI/ML, with hands-on experience designing, implementing, testing, and ensuring operational stability of large-scale enterprise data platformsAdvanced skills in one or more programming languages such …/PySpark and other big data processing technologiesDemonstrated proficiency in software applications and technical processes within disciplines such as data engineering, cloud, artificial intelligence, machine learning, or mobileKnowledge of the financial services industry and their IT systemsJ.P. Morgan is a global leader in financial services, providing strategic advice ...

architectures, agentic frameworks) for company-wide consumption. Product AI Integration: Collaborate directly with core engineering teams to embed production-ready generative AI and machine learning features into the Actian Data Intelligence Platform. LLMOps & Governance Infrastructure: Establish strict guardrails, evaluation frameworks, and monitoring tools to track model performance, bias … time-to-market for AI features, and ROI of implemented AI tools. Qualifications & Profile: Technical Background: Strong background as a Senior AI/ML Engineer, LLMOps Engineer, or Software Architect who has successfully built and scaled AI-powered applications in enterprise SaaS or complex data platforms. AI & Engineering Mastery: Deep ...

Product Manager - Enterprise Data Location London Business Area Product Ref # 10052312 Description & Requirements Enterprise Data at Bloomberg provides machine-readable feeds of news and other unstructured content, as well as AI-powered analytics, including sentiment and more. Text is at the core of what we do today, with … product development across our unstructured datasets. You'll bring with you a few years working in a financial or technology firm in the machine learning/quantitative trading domain, along with some programming and data management skills. You'll work alongside seasoned industry professionals, gaining personal development whilst ...

opportunities, define project requirements, and drive initiatives that push the boundaries of data-driven solutions in aerospace. You'll leverage Python and lmachine learning frameworks to build scalable AI algorithms, process complex datasets, and create impactful reports and visualizations for stakeholders. Your expertise will ensure robust, compliant AI solutions … skills in Python; knowledge of R, SQL, or other languages is a plus Strong analytical and problem-solving mindset ideally focused on AI and machine learning Ability to communicate complex concepts to non-technical audiences Good project management skills, able to handle multiple projects concurrently Attention to detail ...

such as CI/CD, application resiliency, and securityDemonstrated proficiency in software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile)In-depth knowledge of the financial services industry and their IT systemsPractical cloud-native experienceHands-on experience using enterprise-authorized … MQProficiency in both SQL and NoSQL databasesExperience working with private and public cloud environmentsFamiliarity with Agile and Kanban methodologiesExposure to AI/ML concepts and their application within engineering workflowsJ.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations ...

/CD, application resiliency, and security Demonstrated proficiency in software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile) In-depth knowledge of the financial services industry and their IT systems Practical cloud-native experience Hands-on experience using enterprise-authorized … both SQL and NoSQL databases Experience working with private and public cloud environments Familiarity with Agile and Kanban methodologies Exposure to AI/ML concepts and their application within engineering workflows ABOUT US J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world ...

data challenges at scale Lead technical engagements including discovery workshops, architecture reviews, and proof-of-concept builds for healthcare workloads spanning AI/ML, analytics, interoperability, and IoT Develop and present technical proposals to senior stakeholders including Chief Clinical Information Officers, Chief Technology Officers, and programme directors Collaborate with … systems design, software development, or infrastructure architecture Experience designing and building distributed systems or architectures in a production environment Experience with generative AI or machine learning technologies in an enterprise environment Experience communicating technical concepts across both technical and non-technical audiences, including senior leadership Preferred Qualifications ...

data challenges at scale Lead technical engagements including discovery workshops, architecture reviews, and proof-of-concept builds for healthcare workloads spanning AI/ML, analytics, interoperability, and IoT Develop and present technical proposals to senior stakeholders including Chief Clinical Information Officers, Chief Technology Officers, and programme directors Collaborate with … systems design, software development, or infrastructure architecture Experience designing and building distributed systems or architectures in a production environment Experience with generative AI or machine learning technologies in an enterprise environment Experience communicating technical concepts across both technical and non-technical audiences, including senior leadership Preferred Qualifications ...

leading-edge technologiesFoster a team culture of diversity, opportunity, inclusion, and respectRequired Qualifications, Capabilities, and Skills: Proficiency in Engineering & Architecture, AI/ML, with hands-on experience designing, implementing, testing, and ensuring operational stability of large-scale enterprise data platformsAdvanced skills in one or more programming languages such as Java …/PySpark and other big data processing technologiesDemonstrated proficiency in software applications and technical processes within disciplines such as data engineering, cloud, artificial intelligence, machine learning, or mobileKnowledge of the financial services industry and their IT systemsJ.P. Morgan is a global leader in financial services, providing strategic advice ...

leading-edge technologies Foster a team culture of diversity, opportunity, inclusion, and respect Required Qualifications, Capabilities, and Skills: Proficiency in Engineering & Architecture, AI/ML, with hands-on experience designing, implementing, testing, and ensuring operational stability of large-scale enterprise data platforms Advanced skills in one or more programming languages … PySpark and other big data processing technologies Demonstrated proficiency in software applications and technical processes within disciplines such as data engineering, cloud, artificial intelligence, machine learning, or mobile Knowledge of the financial services industry and their IT systems J.P. Morgan is a global leader in financial services, providing ...

delivering technology that makes a real difference, this is the role for you. As a Senior Lead Software Engineer at JPMorganChase within the AI & ML Data Platforms team, you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products … maintainabilityAdvanced knowledge of software applications and technical processes with considerable in-depth knowledge in one or more technical disciplines (e.g., cloud, artificial intelligence, machine learning, mobile)Ability to tackle design and functionality problems independently with little to no oversightPractical cloud native experience with a strong understanding of scalability ...

it. Loyalty – We stand by each other and our mission. Job Summary Movar is seeking a Data Scientist with practical experience in analytics and machine learning. You will work at the intersection of data science and AI, developing solutions that help our clients across infrastructure, utilities, and defence sectors … data science solutions, from data preparation to model deployment. Build analytical models and contribute to AI applications, including LLM-based tools. Work with Azure Machine Learning and Azure OpenAI to deliver client solutions. Collaborate with data engineers to ensure solutions are scalable and production-ready. Engage with business ...

based solutions into production. Using various LLM models with latest approaches (agentic, context engineering) to solve challenging problems Work end-to-end on ML solutions: from data preparation and evaluation, deployment, and monitoring Develop text representation and semantic extraction pipelines for structured knowledge from unstructured data Collaborate with product teams … Knowledge of monitoring and observability tools (e.g. Prometheus, Grafana, Elastic stack). Experience with Infrastructure as Code (Terraform). Experience with Azure Experience with Machine Learning Experience in building product for the construction industry. Additional InformationOur Hiring Process 25-minute screening call Take-home challenge: A hands ...

insight for fraud prevention and underwriting decisions. You will engage in feature engineering across incoming and outgoing cash flows to model affordability, and develop machine learning models that estimate probability of default and produce fraud scorecards. You will own the full lifecycle of these models, from raw data … will partner closely with the Credit Modeling and Fraud teams to align on shared goals and infrastructure. Who you are Experience building and deploying machine learning models end to end, from raw data to production Strong feature engineering skills, ideally with transactional or financial data Proficient in Python ...

offs, and alternative approaches Maintain engineering excellence through automated testing, code reviews, observability, monitoring, alerting, operational readiness, and participation in on‐call support Apply machine learning operations practices, including prompt versioning, automated evaluation, deployment pipelines, monitoring, and production issue resolution Partner closely with product managers, data scientists, machine learning engineers, and fellow engineers to translate requirements into reliable software solutions Mentor engineers, contribute to shared frameworks and developer tooling, document system designs and operational runbooks, and promote responsible AI practices across delivered features About The Team Our Digital Content and Innovation (DC&I) team is responsible ...

Learning and large language models. Hands on experience across prompt engineering, agent development and evaluation frameworks. Demonstrated proficiency in Python AI/ML frameworks with the ability to write and review production-grade code across the full stack. A proven track record architecting and designing scalable solutions that ...

workflows for performance and scalability Monitor, troubleshoot and improve data pipeline performance Ensure data quality, integrity, security and compliance Support wider analytics, AI and machine learning initiatives Contribute to continuous improvement and knowledge sharing across the Data team What We're Looking For We're looking … advantageous for the Data Engineer to have experience with: AWS Glue API integrations Retail or other high-volume data environments Advanced analytics, AI or machine learning Agile/Scrum environments Relevant degree or technical qualification What's On Offer? Competitive salary and benefits package Flexible working, hybrid/ ...

offs, and alternative approaches Maintain engineering excellence through automated testing, code reviews, observability, monitoring, alerting, operational readiness, and participation in on-call support Apply machine learning operations practices, including prompt versioning, automated evaluation, deployment pipelines, monitoring, and production issue resolution Partner closely with product managers, data scientists, machine learning engineers, and fellow engineers to translate requirements into reliable software solutions Mentor engineers, contribute to shared frameworks and developer tooling, document system designs and operational runbooks, and promote responsible AI practices across delivered features About the Team Our Digital Content and Innovation (DC&I) team is responsible ...

data products that enable objective decision-making with speed and confidence. Promote and champion a data-driven culture by applying advanced analytics, statistics, machine learning, AI, and emerging technologies to solve business problems, improve performance and help the organisation move from reactive reporting to proactive and predictive decision … quality, governance, accessibility and trust. Support the design and development of data pipelines, APIs, data integrations and reusable data assets that enable advanced analytics, machine learning and self-service data capabilities within the Microsoft Fabric ecosystem. Create and maintain clear, high-quality documentation for models, methodologies, datasets ...

defined and ready for delivery. Establish measurable performance targets for analytics, tracking, classification and decision-support capabilities. Work closely with data scientists to translate machine learning and analytical models into production-ready features. Collaborate with software engineers, technical specialists and customers to refine requirements and validate delivered functionality. … radar, RF, electro-optical or other sensor technologies. Background in engineering, physics, mathematics, data science or a related technical discipline. Experience delivering AI, machine learning or analytics-driven products. Familiarity with decision-support systems or operational software platforms. Please note: This is a hybrid role based around regular ...

Data UK practice, within the AI & Modelling Craft: a community of data scientists, AI engineers, modellers and solution architects focused on applying AI, machine learning and advanced analytics to solve customer and growth challenges. Our teams work across the full lifecycle, from identifying opportunities and designing solutions through … help clients understand how analytics and AI can create measurable customer and business value. What You Will DoDesign and deliver customer analytics, data science, machine learning and generative AI solutions, from problem framing and data exploration through to production and measurable client value. Make the technical decisions ...