651 to 675 of 1,045 Machine Learning Jobs in the UK

through to being qualified to work in a junior Data Scientist role. Through the interactive courses, you will gain knowledge in Python, R, Machine Learning, AI , and much more. You will also complete mini projects to gain practical experience and test your skills while you study. This step ...

natural curiosity for data Experience using SQL and at least one analytical language such as Python or R A solid understanding of statistics and machine learning fundamentals Experience working with data transformation or ETL tools (DBT is a plus) Confidence explaining technical concepts to non-technical audiences ...

into the early hours Building AI agents or LLM‐powered systems that go beyond simple prompting. Bonus points for: Academic or applied experience in machine learning, especially if you can bridge the gap between research and production. Who thrives here: We'd love to talk ...

business-related discipline; and ideally an advanced qualification in biomedical/computer science/data science/similar. Good grasp of AI and Machine Learning concepts, including datasets, validation, performance measures, monitoring and risk considerations. Previous track record of product management/Project Management within AI, MedTech oriented ...

collect, enhance, train, translate, and localize content to build better AI models. Become part of our growing community and make an impact supporting the machine learning models of some of the world’s largest brands. Qualification path Candidates will complete project-specific training and qualification assessments before joining ...

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 ...

insight for every region of the world covering countries that collectively represent more than 90% of the world's GDP. Through deep investments in machine learning and artificial intelligence, our technology platform ingests and normalizes hundreds of millions of structured and unstructured data points each day, delivering critical ...

with experience selling into UK/EU markets. Excellent consultative selling, communication, and stakeholder management skills. Understanding of AI technologies (e.g., generative AI, machine learning, NLP, automation) is an added advantage. Application Process Before applying, please ensure you meet the role requirements listed above and have legal authorization ...

most trusted sports data to some of the world's biggest organizations, across sports, media, and broadcasting. Through the latest AI technologies and machine learning, we combine decades' worth of data with the latest in-game happenings. We then offer coaches, teams, professional bodies, and media channels around ...

more. We started with computers, but we didn’t stop there. We are helping customers move into the future with multi-cloud, AI and machine learning through the most innovative technology and services portfolio for the data era. Join us and become a part of what’s next ...

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 ...

data governance, synchronisation and stewardship Ability to oversee technical designs from requirements Understanding of Customer 360 architecture and user interfaces Experience with AI and ML applications Ability to diagnose and resolve technical issues REST APIs SQL experience Excellent communication skills MDM Consultant, Informatica Customer 360, governance Reasonable Adjustments: Respect ...

engineering team YOUR SKILLS AND EXPERIENCE: You will bring strong capability in: Expertise in Python, SQL, and TypeScript Proven experience building AI/ML systems in production environments Strong understanding of hybrid software + data engineering challenges Experience working at scale with complex datasets or platforms THE BENEFITS: You will ...

/Bradford Salary: £90,000 to £110,000 + 15% Bonus + Excellent Benefits To be considered Strong experience as an AI Engineer/ML Engineer/Software Engineer with applied AI exposure. Hands-on Python development experience delivering production-grade systems. Practical experience building agentic AI workflows (LangGraph/ ...

platform's infrastructure. 🎯 What is Required: 2 to 5+ years of sales or business development experience in the cloud computing, AI/ML, or enterprise software industries. A good understanding of how Large Language Models (LLMs), tokens, and AI workflows work. You need to be comfortable speaking with engineers. ...

systems that process real-time data from distributed edge devices Lead technical decisions across architecture, tooling, and system design Collaborate with data scientists and ML engineers to deploy models into production Mentor engineers and contribute to engineering best practices Improve observability, monitoring, and incident response processes Write maintainable, well-tested ...

they're your toolkit. Bedrock Builder: Hands-on experience with AWS Bedrock (Agents, Knowledge Bases, Guardrails, and the full model lifecycle). AI/ML Foundations: Deep understanding of FMs, RAG , non-deterministic agents, and complex tool-use. Secure AI: Expert-level knowledge of OWASP LLM Top 10 and Agentic ...

Risk and dependency management across fast-moving programmes Roadmap planning, quarterly prioritisation and delivery process improvement Candidate Experience: Delivery of data science, analytics, or ML programmes in regulated or R&D environments Senior stakeholder management across technical and commercial audiences Agile delivery experience, sprint planning, retrospectives, cross-functional ceremonies Familiarity ...

Risk and dependency management across fast-moving programmes Roadmap planning, quarterly prioritisation and delivery process improvement Candidate Experience: Delivery of data science, analytics, or ML programmes in regulated or R&D environments Senior stakeholder management across technical and commercial audiences Agile delivery experience, sprint planning, retrospectives, cross-functional ceremonies Familiarity ...

mining business critical data flowing across the CEP and how to present data in usable management report format Experience delivering enterprise-grade AI/ML-powered contact centre features such as sentiment analysis, speech-to-text, or real-time agent assist An understanding of emerging contact centre technology and next ...

full enterprise sales cycles, from early value‐led conversations through to contract signature Leading C‐level discussions around Lakehouse architecture, advanced analytics, AI/ML, and data modernisation Translating complex business challenges into Databricks‐enabled solutions and roadmaps Building and managing a strong pipeline of large, multi‐stream transformation opportunities ...

services and infrastructure as code (Terraform preferred) Proven experience building and maintaining CI/CD pipelines Exposure to or strong interest in AI/ML integration or AI-assisted development workflows Ability to mentor others and contribute to a high-performing engineering culture Strong problem-solving skills and a proactive ...

demonstrate outcomes and refine solutions. Required Experience Strong hands-on experience with Azure AI services, including Azure AI Foundry, Azure AI Search and Azure Machine Learning. Proven experience building AI agents and agentic workflows using Microsoft Copilot, Copilot Studio and Azure AI services Proven track record delivering AI prototypes ...

BDRs, or playbooks. Is effectively a hybrid BDM/AM role. Comfortable selling to and holding conversations with deeply technical buyers (engineering, AI/ML, security teams). Experience navigating enterprise security and compliance procurement (SOC 2, DPAs, MSAs). Startup experience (Seed–Series B) — you thrive in ambiguity ...

BDRs, or playbooks. Is effectively a hybrid BDM/AM role. Comfortable selling to and holding conversations with deeply technical buyers (engineering, AI/ML, security teams). Experience navigating enterprise security and compliance procurement (SOC 2, DPAs, MSAs). Startup experience (Seed–Series B) — you thrive in ambiguity ...