1,626 to 1,650 of 6,477 Machine Learning Jobs in the UK

infrastructure components, data pipelines, and custom data apps. Common operational visibility of the data platform from data platform infrastructure to data pipelines, machine learning apps. Assisting client application developers and advising on efficient data access and manipulations. Defining and implementing efficient operational processes. What We Need From ...

Demonstrated success converting ambiguous business opportunities into funded roadmaps, prioritized backlogs, and measurable business outcomes. AI & Product LeadershipStrong understanding of Artificial Intelligence, Generative AI, Machine Learning, Agentic Systems, Process Automation, Knowledge Management, and Data Products, with a proven record of delivering production-grade solutions. Experience defining product strategy ...

making platforms measurably better, you'll find meaningful impact and growth here. As a Lead Software Engineer at JPMorgan Chase in the AI and Machine Learning Platform team, you will build and scale AI infrastructure that modernizes traditional infrastructure management and site reliability engineering through applied AI. ...

making platforms measurably better, you'll find meaningful impact and growth here. As a Lead Software Engineer at JPMorgan Chase in the AI and Machine Learning Platform team, you will build and scale AI infrastructure that modernizes traditional infrastructure management and site reliability engineering through applied AI. ...

revolutionary idea. Rather than move the data from the source, move the algorithms to the data to learn at the data source. This learning can be achieved with the intelligence of many devices through novel federated AI technology. OctaiPipe is developing the AI for Cooling Efficiency (ACE) application … risks early Have previously worked following an Agile/Scrum methodology SaaS, PaaS software products experience An interest in working on an AI/ML product, with a pragmatic, evidence-led approach to testing the software around it Ideally exposure to one or more of: performance and security testing, Kubernetes ...

data the falcon platform collects, making it easy for internal and external customers to transform and access the data for analytics, machine learning, and threat hunting.As a Senior Software Engineer on the team, you will contribute to the full spectrum of our systems, from foundational processing and data ...

more. Ready to join us? Your Role We're hiring a Senior MLOps Engineer for our Hardware Group to build and scale the machine learning infrastructure that powers Focus, our line of smart cameras. You'll own the edge deployment pipelines that transport neural networks from training clusters ...

agile methodologies, CI/CD, application resiliency, and securityDemonstrated proficiency in software applications and processes within a technical domain, such as cloud, artificial intelligence, machine learning, mobile, etc. Practical cloud native experience, deploying Kubernetes applications on a cloud service provider, such as Google Cloud, Amazon Web Services ...

Experience with BI platforms such as Power BI, Looker, Superset, Preset or Qlik. Experience using Python alongside SQL. An understanding of statistical analysis and machine learning techniques. Experience working with business stakeholders and translating commercial questions into data solutions. The ability to explain technical concepts clearly ...

making platforms measurably better, you'll find meaningful impact and growth here. As a Senior Lead Software Engineer at JPMorganChase within the AI and Machine Learning Platform team, you will build and scale AI infrastructure that modernizes traditional infrastructure management and site reliability engineering through applied AI. ...

making platforms measurably better, you'll find meaningful impact and growth here. As a Senior Lead Software Engineer at JPMorganChase within the AI and Machine Learning Platform team, you will build and scale AI infrastructure that modernizes traditional infrastructure management and site reliability engineering through applied AI. ...

Agile environments with a continuous improvement mindsetExperience leading change across technology, process or ways of workingHands-on experience using or introducing AI or ML tools within engineering teamsTechnical foundationsSolid understanding of cloud-native architecture, AWS and distributed systemsProficiency in at least one modern programming languageStrong grasp of system design … physical, and financial well-being. Growth and development: we invest in your professional learning. Our Altus Intelligence Academy offers over 150,000 hours of learning content. Flexible work model: our Activity-Based Work model provides flexibility to align your work location to the needs of the work ...

Agile environments with a continuous improvement mindsetExperience leading change across technology, process or ways of workingHands-on experience using or introducing AI or ML tools within engineering teamsTechnical foundationsSolid understanding of cloud-native architecture, AWS and distributed systemsProficiency in at least one modern programming languageStrong grasp of system design … physical, and financial well-being. Growth and development: we invest in your professional learning. Our Altus Intelligence Academy offers over 150,000 hours of learning content. Flexible work model: our Activity-Based Work model provides flexibility to align your work location to the needs of the work ...

analytical and problem-solving skills Candidates should have at least three of the following skills Experience applying quantitative methods such as modelling, data analytics, machine learning, and statistics to develop business solutions Experience with large scale data sets with structured or unstructured data Experience in building user facing ...

Agile environments with a continuous improvement mindsetExperience leading change across technology, process or ways of workingHands-on experience using or introducing AI or ML tools within engineering teamsTechnical foundationsSolid understanding of cloud-native architecture, AWS and distributed systemsProficiency in at least one modern programming languageStrong grasp of system design … physical, and financial well-being. Growth and development: we invest in your professional learning. Our Altus Intelligence Academy offers over 150,000 hours of learning content. Flexible work model: our Activity-Based Work model provides flexibility to align your work location to the needs of the work ...

software solutions capable of handling sensitive data (e.g., Personally Identifiable Information or payment information). Experience implementing software solutions that operationalise data science and Machine Learning components Personal Qualities A hands-on problem-solver who leads by example, demonstrating commitment to software quality. A clear communicator, calm ...

calibrate assessments, and help onboard new team members effectively. Partner with the Data Engineering Manager on team development planning, identifying skill gaps and proposing learning opportunities. Ensure team members feel supported, challenged, and set up to do their best work. Governance & Collaboration: Partner with Data Governance to embed data … platform architecture patterns and their practical application in a scaled organisation. Experience with GCP cost management and BigQuery cost optimisation strategies. Broader exposure to ML infrastructure, feature engineering pipelines, or data science platform enablement. CLOSING DATE: 21st AugustLOCATION:Please note this is a hybrid role and requires the successful candidate ...

This is founding-engineer territory. The team is small, the problem is unsolved, and the market is massive. You're not joining a machine that's already running. You're building it. The architecture decisions you make in the next 6 months will define the platform for years. … just ship features. Experience in financial markets, algo-trading, or prediction market platforms (Polymarket, Manifold, etc.) Quantitative background in maths, statistics, or probability theory ML experience including random forests, regression models, scikit-learn, and PyTorch AWS infrastructure experience deploying containerised applications and managing cloud environments (EC2, Lambda, RDS) Open-source ...

they need. Analytics and AI: Using models and analytics techniques to enhance or add value to data. This could relate to supervised/unsupervised machine learning and have applications across advanced analytics and AI agent development. Standards and Best Practice: Adopting best practice and championing the standards established ...

storage formats Experience with streaming architectures using Kafka, Event Hubs, or Kinesis for real-time data processing Knowledge of data architectures supporting AI/ML workloads, including vector databases, feature stores and MLOps pipelines Experience processing and managing unstructured data types (text, images, logs, sensor data) Understanding of Lambda … Practice event Bi-annual whole company teambuilding events bringing everyone together for a day of fun and connection Development access to Pluralsight and LinkedIn Learning Volunteering - 2 paid days per year to volunteer in our local communities or within a charity organisation Private Medical Insurance which is non-contributory ...

trained efficiently, deployed securely, and operate at scale. This role sits within the Machine Learning function and works closely with ML Scientists, DevOps, Data Engineering and Software Engineering teams to turn research models into robust, scalable and reproducible training and inference workflows. What you will do Develop robust … large-scale model training. Act as a bridge between research and production, translating research into reliable, maintainable and scalable engineering components. Support cloud-based ML infrastructure such as MLFlow. Create and maintain CI pipelines for model training, testing and deployment workflows. Collaborate with DevOps and infrastructure teams on deployment patterns ...

storage formats Experience with streaming architectures using Kafka, Event Hubs, or Kinesis for real-time data processing Knowledge of data architectures supporting AI/ML workloads, including vector databases, feature stores and MLOps pipelines Experience processing and managing unstructured data types (text, images, logs, sensor data) Understanding of Lambda … Practice event Bi-annual whole company teambuilding events bringing everyone together for a day of fun and connection Development access to Pluralsight and LinkedIn Learning Volunteering - 2 paid days per year to volunteer in our local communities or within a charity organisation Private Medical Insurance which is non-contributory ...

trained efficiently, deployed securely, and operate at scale. This role sits within the Machine Learning function and works closely with ML Scientists, DevOps, Data Engineering and Software Engineering teams to turn research models into robust, scalable and reproducible training and inference workflows. What you will do Develop robust … large-scale model training. Act as a bridge between research and production, translating research into reliable, maintainable and scalable engineering components. Support cloud-based ML infrastructure such as MLFlow. Create and maintain CI pipelines for model training, testing and deployment workflows. Collaborate with DevOps and infrastructure teams on deployment patterns ...

relentlessly resourceful to solve problems and find smarter solutions than the status quo Build the best technology in-house, using new data sources, machine learning and AI to make machines do the heavy lifting About the role We're hiring two Senior Quality Engineers to join our Mobile ...

large, established monolith and shipping production code effectively. Proven track record building products that interact with large language models, not training or building machine learning models yourself, but with hands-on experience integrating large language models into real, user-facing tools. Proven track record designing and operating systems ...