826 to 850 of 1,612 Machine Learning Jobs in the UK excluding London

Mentoring junior scientists to improve their skills, knowledge, and ability to contribute to team projects About the team We are a team of Scientists, Machine Learning Engineers, and Software Developers that work together to make Alexa more insightful and proactive through ambient intelligence, with features like Alexa Hunches More ❯

as CI/CD, Application Resiliency, and Security. Emerging knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.). Preferred Qualifications, Capabilities, and Skills: Familiarity with modern front-end technologies, e.g., React. Exposure to cloud technologies. About the More ❯

best-step for software companies' users across all their digital customers, growing the 90% of revenue that comes after the initial sale. Magnify uses machine learning along with a sophisticated orchestration engine to transform that experience to drive adoption, retention, and expansion for our customers. The opportunity is More ❯

with Python Experience working with modern data technology (e.g. dbt, spark, containers, devops tooling, orchestration tools, git, etc.) Experience with AI, data science and machine learning technologies People want to buy from people who understand them. Our Solution Engineers build connections, relationships and trust with our customers that More ❯

s, plus will be an advocate of software design patterns, CI/CD and DevOps in an Agile environment. Experience or personal projects exploring Machine Learning and AI would fit well. What you'll get in return You'll work for a technology focused company building innovative products. More ❯

to launch. This involves working across the entire stack — from front-end (written in React/TypeScript), back-end (written in Kotlin and Python), machine learning (agentic workflows, entity matching), to infrastructure (AWS, Docker). Working at a startup so early, it's common to kick off a More ❯

like Cisco, DocuSign, Slack, and TUI, Matillion's technology supports a wide range of data use cases, from insights and analytics to data science, machine learning, and AI. With over $300M raised from top Silicon Valley investors, we are committed to powering data productivity worldwide. We value smart More ❯

operations PREFERRED QUALIFICATIONS Experience with FrontEnd React and/or Nextjs. Excellent problem-solving and analytical skills Strong communication and collaboration skills Familiarity with machine learning concepts and LLM agents. Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our More ❯

Purpose: you can use your passion and abilities at Leidos to keep the people you care about safe. We are at the forefront of machine learning, AI, cyber security and solutions. Using your skills in the technology frontline by helping to build a safer world. You can inspire More ❯

as CI/CD, Application Resiliency, and Security Emerging knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.) Working experience on Micro-Service architecture based application using Java and Spring, strong technical knowledge of Database, Kafka and REST More ❯

deliver high quality code that meets customers requirements Emerging knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.) Preferred qualifications, capabilities, and skills Experience working with messaging systems: Kafka, MQ, SQS Exposure to cloud technologies (Kubernetes/AWS More ❯

customer trust. The Secret Sauce: Proven experience as a Product Manager , preferably in AI, analytics, data platforms, or SaaS products. Strong understanding of AI, machine learning, and data analytics , with experience bringing AI-powered products to market. Experience working in an agile, cross-functional and empowered product teams More ❯

customer trust. The Secret Sauce: Proven experience as a Product Manager , preferably in AI, analytics, data platforms, or SaaS products. Strong understanding of AI, machine learning, and data analytics , with experience bringing AI-powered products to market. Experience working in an agile, cross-functional and empowered product teams More ❯

customer trust. The Secret Sauce: Proven experience as a Product Manager , preferably in AI, analytics, data platforms, or SaaS products. Strong understanding of AI, machine learning, and data analytics , with experience bringing AI-powered products to market. Experience working in an agile, cross-functional and empowered product teams More ❯

with stakeholders across our internal and customer teams. Work includes scope, planning, mobilising, managing and reporting on contracts and projects that cover cloud consultancy, machine learning, data platform, and advanced analytics solutions for our customers - built with modern tools across the open source and cloud platform landscape. You More ❯

with stakeholders across our internal and customer teams. Work includes scope, planning, mobilising, managing and reporting on contracts and projects that cover cloud consultancy, machine learning, data platform, and advanced analytics solutions for our customers - built with modern tools across the open source and cloud platform landscape. You More ❯

valuable insights that empower our clients.. Tech: Python, Databricks, Cloud (AWS), ETL, SQL 💡 The teams innovation areas: Advanced LLM implementations Real-time analytics platforms ML model deployment and monitoring Cloud-native architectures Data mesh and data fabric patterns More ❯

Bash, or Python Software engineering best practices (Git workflow, CI/CD, clean code, unit testing) Desirable Skills: Python development, especially involving AI/ML Graphics APIs such as Vulkan, DirectX, or Metal Experience with 3D tools (e.g., Blender, Maya) or 2D tools (e.g., Photoshop) C/C++ development for More ❯

role in driving quantitative deliveries across all of the banks Global Markets businesses managing the core data and analytics platform, including Data, AI/ML, and Governance & Core Engineering. This individual will be responsible for delivering user-facing analytics capabilities to businesses across the markets division. We are seeking an More ❯

platforms (HubSpot, Salesforce, Iterable, etc.). Bonus Points: Experience with Google Analytics, Mixpanel, Segment, or other event tracking tools . Knowledge of AI/ML models for marketing insights and predictive analytics . Familiarity with Redis, Huey (or Celery) for background task processing . Experience with Stripe, Google Pay for More ❯

in data science and predictive modelling. Strong background in revenue forecasting, demand prediction, or similar fields. Proficiency in Python, SQL, AWS and experience with ML frameworks. Experience in Computer Vision is a plus. Strong academic background (master's from Cambridge, UCL, Imperial, or similar preferred). Why Join? Be part More ❯

practices in AI development. Qualifications: Bachelor's or Master's degree in Computer Science, Engineering, or a related field. Proven experience in AI/ML development, with a strong portfolio of projects. Proficiency in programming languages such as Python, R, or Java. Experience with AI frameworks and libraries (e.g., TensorFlow More ❯

up – clean slate. Big purpose: Your work directly improves access to information for underserved communities. Modern stack: Microservices, Python, FastAPI, React, Azure, AI/ML – all in play. Ownership: Shape the architecture and engineering culture from day one. Hybrid freedom: Mostly remote, with occasional travel to meet the team. What More ❯

to push the boundaries of advanced modelling — from algorithmic trading to factor modelling and other cutting-edge applications. Quant firms have leveraged AI and ML for years, but the increasing complexity and scale of global markets demand a more comprehensive, integrated approach. At Agitprop, we harness the latest insights from More ❯

to budget and resource planning, influencing software and product roadmaps. Workplace Culture & Innovation: Foster an engaged, innovative, and inspiring work environment. Encourage AI/ML advancements in medical imaging software. Operational Excellence: Ensure proper staffing, recruitment, performance appraisals, and training to maintain a strong and motivated team. Product Development & Launch More ❯