626 to 650 of 4,046 Machine Learning Jobs in England

develop a deep understanding of how Multiverse operates across our customer, learner and operational domains - and translate that understanding into rigorous, production-grade ML models that genuinely move the needle. To be successful, you'll be comfortable getting hands-on with pipelines and infrastructure - and unafraid of the statistical rigour … criteriaIdentifying where predictive, forecasting or optimisation models can have the greatest business impact, and prioritising accordinglyModelling & Statistical AnalysisDesigning, developing and iterating supervised and unsupervised ML models that predict, forecast and optimise across the businessApplying rigorous statistical methods to ensure models are robust, unbiased and genuinely causal wherever causal claims ...

deploying LLM-based applications into production environments. We're looking for a Senior Engineer who can bridge the gap between advanced AI/ML and production-grade software, taking models from concept through to scalable deployment. It is not purely an AI/ML role, nor is it a pure … level most roles don't offer. What you'll need to succeed This role requires existing Senior level experience in AI/ML roles, 3+ years working hands-on experience designing, building, and deploying LLM-based applications into production environments, not just experimentation. You must have proven experience working with ...

part of your day‐to‐day work. You will also help clients understand how cloud platforms can support AI adoption, including generative AI, machine learning, intelligent automation, AI‐assisted operations, and responsible AI practices. The Cloud Architect is a subject matter expert in one or more categories that … vector search, embeddings, enterprise data sources, access controls, and secure application integration patterns. Experience with MLOps, including model lifecycle management, CI/CD for ML, feature stores, model monitoring, experimentation, and deployment pipelines. Experience with AIOps, intelligent observability, automated remediation, anomaly detection, and AI‐assisted cloud operations. Experience with cloud ...

part of your day-to-day work. You will also help clients understand how cloud platforms can support AI adoption, including generative AI, machine learning, intelligent automation, AI-assisted operations, and responsible AI practices.The Cloud Architect is a subject matter expert in one or more categories that … using vector search, embeddings, enterprise data sources, access controls, and secure application integration patterns.Experience with MLOps, including model lifecycle management, CI/CD for ML, feature stores, model monitoring, experimentation, and deployment pipelines.Experience with AIOps, intelligent observability, automated remediation, anomaly detection, and AI-assisted cloud operations.Experience with cloud security, compliance ...

looking for a Senior AI Platform Engineer to help design, build, and evolve the core AI platform that enables Generative AI, Agentic AI, and machine learning applications across the business. This is an opportunity to join at the beginning of the platform's journey. Rather than inheriting … Engineering Lead and fellow senior engineers. About You AI Platform Engineering 5+ years of software engineering experience, including 2+ years building AI/ML platforms, Generative AI applications, or production machine learning systems. Experience designing and deploying enterprise AI applications into production with a strong focus on scalability ...

looking for a Senior AI Platform Engineer to help design, build, and evolve the core AI platform that enables Generative AI, Agentic AI, and machine learning applications across the business.This is an opportunity to join at the beginning of the platform's journey. Rather than inheriting a mature … YouThis role will be a great fit if you:AI Platform EngineeringHave 5+ years of software engineering experience, including 2+ years building AI/ML platforms, Generative AI applications, or production machine learning systems.Have experience designing and deploying enterprise AI applications into production with a strong focus ...

expanding our group and seeking highly skilled individuals who will be responsible for contributing to the team (or teams) of Machine Learning (ML) and Software Engineers that are bringing innovative solutions to AI-driven customer-facing products. At Bloomberg, we believe in fostering a transparent and efficient financial … will have the opportunity to create a more cohesive, integrated, and managed GenAI development life cycle to enable the building and maintenance of our ML systems. Our teams make extensive use of open source technologies such as Kubernetes, KServe, MCP, Envoy AI Gateway, Buildpacks and other cloud-native and GenAI ...

Data Scientist Job Title: Data Scientist Type: Fix Term Contract Work Pattern: Hybrid (2-3 days per week in office Sector: Data Science | Machine Learning | Advanced Analytics Duration: 06 MonthsPay: £500 to £750 per day Inside IR35 Location: Welwyn Garden City and London About the Role … seeking a talented Data Scientist to develop and deploy machine learning solutions that directly influence business decisions, enhance customer experiences, and improve operational efficiency. You will be responsible for translating complex business challenges into scalable data science solutions, building and deploying robust machine learning models ...

/C++, Go, Java); strong hands-on experience building and maintaining large-scale Python applications preferred. 3 years designing, architecting, testing, and launching production ML systems, including model deployment/serving, evaluation and monitoring, data processing pipelines, and model fine-tuning workflows. Practical experience with Large Language Models (LLMs … different LLMs, both commercial and open source, and their capabilities (e.g., OpenAI, Gemini, Llama, Qwen, Claude). Solid grasp of applied statistics, core ML concepts, algorithms, and data structures to deliver efficient and reliable solutions. Strong analytical problem-solving, ownership, and urgency; ability to communicate complex ideas simply and collaborate ...

Agentic Strategy 2030 into working, governed and value-generating systems.The postholder will build and lead the team responsible for AI/ML model development and agentic engineering across the three pillars of the AI strategy; AI for Service Delivery, AI for Digital Products and AI for Productivity. This spans … high-performing team in a PE-backed environment.MAIN RESPONSIBILITIES AND DUTIESAI & Agentic Engineering Delivery Lead the design, development and production deployment of AI/ML models and agentic systems across the Group, delivering the prioritised use cases on JTC's two-year roadmap (55 use cases selected on value, feasibility ...

raised through support ticketsBuild deep product knowledge across Anaplan’s platform and tools (including Grafana)Act as an AI and Machine Learning (ML) subject matter expertCollaborate with other teams to guide customers through complex technical solutionsRaise and track product bugs when you identify themCommunicate investigation progress and outcomes … leading smaller team projects and mentoring colleaguesExperience creating technical documentation and delivering trainingPreferred Skills:Understanding of AI security threats and mitigationExpertise in AI/ML cloud services e.g. Azure OpenAI, AWS Bedrock or Google Cloud AI.Knowledge of core ML concepts e.g. anomaly detectionFamiliarity with technical support environments, SaaS platforms ...

raised through support ticketsBuild deep product knowledge across Anaplan’s platform and tools (including Grafana)Act as an AI and Machine Learning (ML) subject matter expertCollaborate with other teams to guide customers through complex technical solutionsRaise and track product bugs when you identify themCommunicate investigation progress and outcomes … leading smaller team projects and mentoring colleaguesExperience creating technical documentation and delivering trainingPreferred Skills:Understanding of AI security threats and mitigationExpertise in AI/ML cloud services e.g. Azure OpenAI, AWS Bedrock or Google Cloud AI.Knowledge of core ML concepts e.g. anomaly detectionFamiliarity with technical support environments, SaaS platforms ...

dashboards that enable customers to interact with large‐scale risk and analytics data in real time. You will work across the stack, collaborating with machine learning and backend engineers to ensure interfaces are reliable, secure, and intuitive. The focus is on building scalable UI solutions that meet strict … applications with backend inference APIs, behavioural signals, and analytics servicesImplement secure UI patterns, role‐based access controls, and compliance‐aware data presentationCollaborate with ML engineers to surface model insights and AI capabilities through well‐designed interfacesOwn DevOps responsibilities for front‐end services, including build pipelines, deployment, monitoring, and incident responseContribute ...

opportunity to join a newly formed AI function at a pivotal stage of growth. You'll work on high-impact AI initiatives across machine learning, Generative AI and Agentic AI, helping to shape how AI is adopted and scaled across a major organisation. The Company Our client … best practice, and play a key role in a growing AI engineering team. The Role You will: Design, build and deploy AI and machine learning solutions from concept to production Develop applications using LLMs, Generative AI and Agentic AI frameworks Deliver predictive, optimisation and automation use cases Build ...

improvements, data standardisation and reporting/consumption for AI. Experience with automation/analytics tooling — Power BI, Power Platform, Power Automate.Experience applying AI/ML models and/or generative AI tools to real business problems.Solid understanding and knowledge of data privacy, sensitivity, and responsible AI principles.Experience working with … products and translate analytical outputs into decisions.Desirable Experience with HR or workforce platforms such as Workday, SAP SuccessFactors, or equivalentRelevant certifications in AI/ML, Power BI, Microsoft Azure, or data privacyWhy RES? Work that matters — your analysis will inform decisions at ExCo and Board level in a company actively ...

Machine Learning solutions directly embedded into businesses processes. We support clients across a number of industries and offer deep expertise in AI, ML, Cloud and Managed Solutions. What you will be doing Focus on the hardening of environments and ensuring policies are planned and enforced Implement and advocate ...

impact of PlayStation's products, features and commercial initiatives through experimentation, causal inference and applied data science. Working at the intersection of data science, machine learning, product and commercial strategy, you will apply robust analytical techniques to solve complex business problems, generate actionable insights and support evidence-based … decision-making across PlayStation. This role goes beyond traditional A/B testing. You will apply modern causal inference, statistical modelling and machine learning techniques to evaluate initiatives where controlled experiments are difficult or impossible, collaborating closely with product, engineering, analytics and business teams to deliver high-quality ...

impact of products, features and commercial initiatives through world-class experimentation, causal inference and applied data science. Working at the intersection of data science, machine learning, product and commercial strategy, you will develop innovative measurement methodologies, define best practices, and provide technical leadership that enables teams across PlayStation …/B testing. You will solve complex measurement problems where controlled experiments are difficult or impossible, applying modern causal inference, statistical modelling and machine learning techniques to generate robust business insights. You will collaborate closely with product, engineering, analytics and business teams to raise the standard of experimentation ...

Data Control Manager, you will help shape the future of data, privacy, Artificial Intelligence/Machine Learning (AI/ML) governance, analytics management and operational risk at JPMorganChase. You’ll join a collaborative, agile team where your expertise is valued, your voice is heard, and your career ...

will be designing and building AI-enabled software systems that support complex operational environments. The role will involve developing scalable backend services, integrating machine learning models into production systems, and contributing to the architecture of secure, cloud-native platforms. This is a hands-on engineering role suited … NEED THE AI SOFTWARE ENGINEER TO HAVE. Active UKSV DV clearance Strong software engineering background with Python Experience building and deploying AI/machine learning applications Knowledge of LLMs, NLP, or generative AI frameworks Experience with AWS or Azure Familiarity with Docker and Kubernetes Experience working in secure ...

exciting opportunity for an experienced AI Engineer to work at the forefront of artificial intelligence innovation, developing cutting‐edge solutions that combine machine learning, Generative AI, and advanced data capabilities. You will have the opportunity to influence the direction of AI initiatives from the ground up, working across … applications while collaborating with talented technical teams to deliver solutions that create real business value. Key responsibilities Design, develop, and deploy scalable AI and machine learning solutions, taking projects from concept through to production with a focus on predictive analytics, optimisation, automation, Generative AI, and agentic AI. Build ...

with exciting challenges - be it through the support and further development of legacy systems or the introduction of modern technologies such as AI, machine learning and highly automated trading applications.Your Role in the TeamIn this role, you will play a key part in driving the development … degree in Computer Science, Business Informatics, or a comparable qualification Several years of professional software development experience, ideally with initial experience in AI/ML as well as cloud deployment (GCP or Azure) Very good programming skills in Python or Java/Kotlin, as well as experience with frontend technologies ...

role involves designing scalable systems from the ground up, playing a critical role in building the data foundations that support AI products, analytics capabilities, machine learning workflows, and large-scale operational systems. You will work closely with AI engineers, backend developers, and product teams to ensure data … architectures for operational and AI workloads.Develop and manage batch and real-time data processing pipelines.Build and optimise systems for vector search, data retrieval, and machine learning workflows.Ensure data reliability, security, governance, and compliance across the platform.Collaborate closely with AI and backend engineering teams to support model training, inference ...

secrets management and credential handling practices. Deliver end-to-end data flows from source ingestion through governed and curated data layers, supporting analytics, BI, machine learning and application consumption. Azure & Databricks Platform Deep hands-on Azure Databricks implementation, administration and troubleshooting experience. Databricks Serverless architecture, workload placement … workloads from POSIT/RStudio to Databricks. Migration of analytical and data science solutions, including conversion of R-based workloads and libraries. AI/ML experience, including LLM integration, RAG/vector retrieval, model serving and model lifecycle management. Experience delivering large-scale platform transformation programmes. Strong Azure and Databricks ...

role involves designing scalable systems from the ground up, playing a critical role in building the data foundations that support AI products, analytics capabilities, machine learning workflows, and large-scale operational systems. You will work closely with AI engineers, backend developers, and product teams to ensure data … operational and AI workloads. Develop and manage batch and real-time data processing pipelines. Build and optimise systems for vector search, data retrieval, and machine learning workflows. Ensure data reliability, security, governance, and compliance across the platform. Collaborate closely with AI and backend engineering teams to support model ...