376 to 400 of 3,282 Machine Learning Jobs in the UK

data handling. Coach and mentor team members on AI engineering practices, prompt design patterns, and agentic system architecture—to foster a culture of continuous learning and technical excellence. Avidly communicate progress and project status across the organisation and ensure that stakeholders are managed appropriately throughout the execution period. Foster … production engineering role with high business impact and a strong programming foundation (Java, Python, Go, or equivalent). Hands‐on experience with AI/ML engineering—including working with LLM APIs (OpenAI, Anthropic, Gemini, or open‐source equivalents), embedding models, and vector databases. Proven expertise in prompt engineering: designing, iterating ...

just a few years. 35 days leave (including bank holidays). Private medical insurance. Enhanced parental and adoption leave. 40 hours of paid learning and development. Join us on our journey. Let’s create tomorrow, together, today. At CreateFuture, the Senior Cloud Engineer is a vital individual contributor … Azure AZ-104). At least 1 professional-level certification. Progressing toward or holding multiple professional certifications such as CKA (Certified Kubernetes Administrator), AWS ML Engineer Associate, or FinOps Certified Practitioner. What we’ll offer you: We trust people to do their best work. That means flexibility over rigid rules ...

This could include experience with technologies such as: Azure AI Foundry Azure OpenAI Microsoft Copilot Large Language Models (LLMs) AI-powered analytics Intelligent automation Machine Learning services You don't need to be an AI specialist, but you'll be able to demonstrate practical exposure to AI technologies ...

. Advanced 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, etc.). Ability to tackle design and functionality problems independently with little to no oversight. Experience in Computer Science, Computer Engineering ...

helping to build a future that works better for everyone. We move at pace, because what we’re building matters – and we’re learning as we go. We’re proud of the progress we’ve made, but we’re just getting started. Join our Technology team and push … bring experience in security architecture within IT, cloud, digital, or network environments* You have hands-on exposure to AI/ML systems, data platforms, or AI-enabled product design (even if you’re not a developer or data scientist)* You understand AI-specific risks and can confidently translate them into ...

technical platform capabilities across the product lifecycle. Bachelor's degree in Computer Science, Engineering, Information Systems, or a related field, or equivalent practical experience. Machine Learning: Expertise in time-series forecasting, clustering, and correlation algorithms. Generative AI: Experience with LLM prompting, Retrieval-Augmented Generation (RAG), and LangChain. Cloud … Wellness: Health care coverage designed for the mind and body. Flexible Downtime: Generous time off helps keep you energized for your time on. Continuous Learning: Access a wealth of resources to grow your career and learn valuable new skills. Invest in Your Future: Secure your financial future through competitive ...

Certification Microsoft Purview Azure DevOps and CI/CD Manufacturing or FMCG experience ERP, WMS or MES integrations Azure AI Foundry Data Science or Machine Learning exposure Why Join Raynor Foods? This isn't just another Data Engineering role. You'll have the opportunity to: Build an enterprise ...

helping to build a future that works better for everyone. We move at pace, because what we're building matters - and we're learning as we go. We're proud of the progress we've made, but we're just getting started. Join our Technology team and push … bring experience in security architecture within IT, cloud, digital, or network environments You have hands-on exposure to AI/ML systems, data platforms, or AI-enabled product design (even if you're not a developer or data scientist) You understand AI-specific risks and can confidently translate them into ...

Analysis, Agile Delivery, User Centred Design etc. Awareness of emerging trends such as AI, automation and data-driven product development Exposure to AI or Machine Learning use cases within digital or technology delivery Experience or interest in generative AI tools (e.g. copilots, automation, content or code generation) Familiarity … consecutive years. To see what it’s like to work at Capgemini Invent, visit our Glassdoor Page. Capgemini Invent offers Consultants a culture of learning, ownership, and focus on value. You’ll gain exposure to high-profile transformations and gain hands-on exposure to leading technologies. Our consultants ...

/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, etc.) In‐depth knowledge of the financial services industry and their IT systems Demonstrated experience designing and scaling agentic AI‐enabled development patterns ...

expertise) Cloud & Infrastructure – (multi cloud, devops, SRE, platform, engineering, development, architecture, security and commercial) Data & Analytics – (data science, data engineering, data modelling, business intelligence, machine learning, development, python, R) Sales – (Technical Sales, Pre-Sales, Business Development, SDR’s, Account Executives, Customer Success, Multi Lingual, Marketing) Operations – (C-suite ...

/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, etc.). Demonstrated experience leading effective use of approved AI-assisted software development tools (e.g., for coding, code review, test acceleration, troubleshooting) with ...

Advanced 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, etc.) Ability to tackle design and functionality problems independently with little to no oversight Experience in Computer Science, Computer Engineering, Mathematics ...

engineers on safe, compliant adoption within delivery practices. Demonstrated proficiency in software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.). Practical experience in cloud computing. Knowledge of network protocols and technologies such as TCP/IP, DNS, DHCP ...

company, you will be working in a client AI platform team which is building reusable foundations to accelerate the adoption of AI (ML & agentic) across the organization. You will be responsible for designing, building, and deploying agentic AI solutions, working closely with product and client teams to bring use cases … growth. You will tackle complex, real world problems at the forefront of platform engineering, AI, security, and scalable systems. Your growth is supported by learning budgets, Udemy access, a clear career framework, internal mobility, and thought leadership opportunities that take your impact beyond the company. We are committed ...

large Consulting firm (preferably Analytics consulting) Experience in the financial services industry Degree in a quantitative field (Statistics, Computer Science, Mathematics, etc.) Knowledge of machine learning and AI applications Familiarity with data governance frameworks Understanding of agile methodologies Experience mentoring junior team members Knowledge of programming languages commonly ...

strong technical capability with a consulting mindset, enjoying the challenge of solving complex business problems through AI. You'll have: Significant experience leading AI, machine learning, or agentic AI projects from concept through production. Strong software engineering skills using languages such as Python or TypeScript. Experience designing cloud ...

their security requirements. Experience designing and managing relational database schemas. Familiarity with Git source control and collaborative software development workflows. A strong aptitude for learning new technologies and working outside your existing areas of experience. Good independent problem-solving skills. Ability to use initiative and take ownership of assigned … platforms such as Microsoft Azure or AWS. Experience with containerisation technologies such as Docker. Automated testing and continuous integration or delivery. Data analytics or machine learning. Internet of Things systems and applications. Benefits: Competitive salary from 38k per annum based on your previous experience. Market-leading, company-funded training ...

their security requirements. Experience designing and managing relational database schemas. Familiarity with Git source control and collaborative software development workflows. A strong aptitude for learning new technologies and working outside your existing areas of experience. Good independent problem-solving skills. Ability to use initiative and take ownership of assigned … platforms such as Microsoft Azure or AWS. Experience with containerisation technologies such as Docker. Automated testing and continuous integration or delivery. Data analytics or machine learning. Internet of Things systems and applications. Benefits: Competitive salary from 38k per annum based on your previous experience. Market-leading, company-funded training ...

JavaScript or TypeScript. 3 years of experience testing, maintaining, or launching software products. 3 years of experience with software design and architecture. Experience in Machine Learning. Preferred qualifications: Master's degree or PhD in Computer Science or related technical field. 5 years of experience with data structures and algorithms. … problems across the full-stack as we continue to push technology forward. Our team has a decade-long track record of successfully bringing ML ideas from theory to practice in the world of online ads. We have made it much easier for small and medium-sized content creators to grow ...

/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, etc.). Interest in financial markets and trading, with the ability to work directly with Credit Sales and Trading teams to deliver impactful ...

ability to balance speed with robustness, and challenge/push back when necessary Bonus points: experience with streaming architecture notable passion projects understanding of machine learning and/or experience building out MLOPS on top of DevOps experience with scaling LLM/agentic products Working ...

deployment of AI-integrated solutions for client engagements using modern full-stack technologies. Integrate Azure AI services, including Azure OpenAI, Cognitive Services, Azure Machine Learning and AI Search, into production applications. Architect and build LLM-powered features, agentic workflows and Model Context Protocol (MCP) integrations to a production ...

Learning Engineer to join our team and build the retrieval and knowledge representation systems at the heart of the platform. You will own ML components end to end — from research and prototyping through to production deployment — working across knowledge bases, vector stores, RAG pipelines, and context engines to power … structured reasoning over enterprise data. Design and implement RAG pipelines, including chunking, embedding, indexing, retrieval, and reranking. Build and maintain integrations between retrieval and ML components and diverse enterprise data sources, vector databases, APIs, and services. Develop context retrieval systems that balance recall, precision, latency, and cost. Build evaluation frameworks ...

Kubernetes, cloud platforms (GCP preferred), CI/CD, Git, DevOps tooling, automation frameworks, and Linux administration.* Cyber Security, SIEM/SOAR, on-premises infrastructure, Machine Learning/AI, and SAFe Agile exposure.* Strong analytical and problem-solving skills with attention to detail.* Good communication and collaboration skills with ...