601 to 625 of 4,536 Machine Learning Jobs in England

Experience with dbtExposure to streaming technologies such as KafkaExperience within a high-growth SaaS or technology businessFamiliarity with Infrastructure as Code (Terraform)Experience supporting machine learning or AI workloads What's on Offer Salary up to 75,000 depending on experienceGenerous benefits packageHybrid working (London-based)Opportunity ...

Exposure to streaming technologies such as Kafka Experience within a high-growth SaaS or technology business Familiarity with Infrastructure as Code (Terraform) Experience supporting machine learning or AI workloads What's on Offer Salary up to £75,000 depending on experience Generous benefits package Hybrid working (London-based ...

harnesses the power of LLMs and generative AI, and combines it with Universal Language – our proprietary symbolic technology that bridges the gap between probabilistic machine learning and deterministic classical computing.Our products are already in use with major enterprises – including tier-1 banks and leading accountancy firms – across audit … work on genuinely novel problems at the intersection of classical symbolic AI and modern LLMs – for example, how to represent regulatory knowledge as machine-evaluable rules, or how to build feedback loops that improve system accuracy over time.You'll work within a shared monorepo alongside software engineers, research engineers ...

execute a comprehensive account strategy that drives revenue growth, deepens customer adoption across the full AWS portfolio — including compute, networking, storage, AI/ML, Generative AI, and edge solutions — and positions AWS as the preferred cloud partner for next-generation telco workloads. This role requires deep understanding of the telecommunications … term technology decisions align with long-term business goals.Solution-Led Selling: Drive solutions discussions diving deep into complex challenges — including modernization, migration, AI/ML, and infrastructure optimization for telco workloads. Recommend AWS products and services aligned with how the Telco delivers solutions to their end customers (Telco operators globally ...

real value You’re comfortable navigating ambiguity and solving complex problems collaboratively You bring strong expertise in your craft, alongside a willingness to keep learning You communicate clearly and build trust quickly with clients and teammates You’re pragmatic, adaptable and outcome-focused You enjoy sharing knowledge and helping … from various sectors. Your responsibilities: Develop pipelines that bring data to life for decision-making, either delivering insight or for more sophisticated AI & machine learning applications Experience in being hands on with data, applying the practicalities of quality, flow, and organisation of information, and an understanding of data ...

systems.- Provides operational support and leadership for production systems in a "you-build-it-you-run-it" culture, including incident response, post-incident learning, and continuous reliability improvements.- Leads evaluation sessions with external vendors, startups, and internal teams to drive outcomes-oriented probing of architectural designs, technical credentials … including setting standards and driving adoption across teams.- Demonstrated 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 ...

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 ...

with agentic AI for operations—incident triage, runbooks, and change management—with clear guardrails, auditability, and human-in-the-loop controls. Supporting AI/ML workloads at scale: SageMaker endpoints, GPU node groups, autoscaling, and Kubernetes-based model serving. Policy-as-code (OPA) and compliance implementation across CIS, NIST … Fitch: Hybrid Work Environment: 2 to 3 days a week in office required based on your line of business and location A Culture of Learning & Mobility: Dedicated trainings, leadership development and mentorship programs designed to ensure that your time at Fitch will be a continuous learning opportunityInvesting ...

with agentic AI for operations—incident triage, runbooks, and change management—with clear guardrails, auditability, and human-in-the-loop controls. Supporting AI/ML workloads at scale: SageMaker endpoints, GPU node groups, autoscaling, and Kubernetes-based model serving. Policy-as-code (OPA) and compliance implementation across CIS, NIST … Fitch: Hybrid Work Environment: 2 to 3 days a week in office required based on your line of business and location A Culture of Learning & Mobility: Dedicated trainings, leadership development and mentorship programs designed to ensure that your time at Fitch will be a continuous learning opportunityInvesting ...

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 ...

production-grade agentic commerce systems for global enterprise clients. You are responsible for defining the overall system architecture, selecting and governing AI/ML and platform technologies, and ensuring solutions are scalable, secure, and embedded into live enterprise commerce environments. You will partner closely with development, DevOps, data engineering … commerce pursuits Engage C-suite stakeholders and grow engineering talent within the practice What You Need Must Have 8+ years in AI/ML systems, with demonstrable experience designing and delivering Generative AI and agentic AI systems in production 4+ years enterprise commerce delivery on one or more of: Salesforce ...

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 the boundaries … across the organisationWho you areYou bring experience in security architecture within IT, cloud, digital, or network environmentsYou 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 ...

. 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 ...

code written by others Defines and drives the technology roadmap, focusing on next-generation data, analytics, and automation platforms Champions the use of AI, machine learning, and advanced analytics to deliver real-time trade processing applications Identifies opportunities to eliminate or automate recurring issues to improve overall operational ...

curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (diversity) conferences, inspire us to never stop embracing our uniqueness.Mentorship and Career GrowthWe … level customer engagement- Experience architecting/operating solutions built on any cloud service provider like Azure, AWS, GCP, OCI, etc.- Experience in data science, machine learning or data mining- Knowledge of distributed applications/enterprise applications- Experience in specific technology domain areas like software development, cloud computing, systems ...

etc. DevOps experience – CI/CD, Test Automation, Containerization – tools and processes Should be conversant with emerging technologies - chatbots, voice/conversational interfaces, RPA, Machine Learning, etc. In-depth, hands‐on experience in developing web/mobile applications or platform with either Java/J2EE or .NET tech ...

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 ...

Load testing etc.DevOps experience – CI/CD, Test Automation, Containerization – tools and processesShould be conversant with emerging technologies - chatbots, voice/conversational interfaces, RPA, Machine Learning, etc. In-depth, hands-on experience in developing web/mobile applications or platform with either Java/J2EE or .NET tech ...

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 ...

strategy.Proven track record leading analytics or data science teams and driving insight-led decision making.Strong expertise in AI-driven marketing optimisation, advanced modelling and machine learning applications within marketing environments.Deep understanding of Marketing Mix Modelling, attribution, incrementality testing, customer lifetime value and audience segmentation.Experience operating in complex, multi ...

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 ...