1,001 to 1,025 of 1,234 Machine Learning Jobs in England

humanoid robots that seamlessly integrate into daily life and amplify human capacity. What You’ll Do: Own and manage the full lifecycle of both ML models and core infrastructure - from development and deployment to monitoring and continuous improvement. Build and maintain robust CI/CD pipelines for both software … ML workflows. Ensure reliability, scalability, observability, and security of production systems and ML infrastructure. Automate deployment, orchestration, and environment management using modern DevOps tooling. Collaborate closely with software engineers, data scientists, and product teams to bring ML-powered features to production. Proactively detect, troubleshoot, and resolve infrastructure and model performance ...

full-stack development and AI system design to complex enterprise environments. This role demands hands-on experience in building and deploying AI/ML solutions, a strong grasp of software engineering principles, and proficiency with cloud platforms. You will play a key role in developing scalable, intelligent systems that drive … pipelines. AI System Development: Implement and optimize AI models, ensuring they are scalable, maintainable, and production-ready. Work on GenAI, Agentic AI, and classic ML solutions. Enterprise Integration: Integrate AI solutions with existing enterprise systems and ensure seamless operation within the client and #39;s technology stack. Collaboration: Work closely ...

full-stack development and AI system design to complex enterprise environments. This role demands hands-on experience in building and deploying AI/ML solutions, a strong grasp of software engineering principles, and proficiency with cloud platforms. You will play a key role in developing scalable, intelligent systems that drive … pipelines. AI System Development: Implement and optimize AI models, ensuring they are scalable, maintainable, and production-ready. Work on GenAI, Agentic AI, and classic ML solutions. Enterprise Integration: Integrate AI solutions with existing enterprise systems and ensure seamless operation within the client's technology stack. Collaboration: Work closely with cross ...

experienced technical support professional to join a market-leading, disruptive software company in London as a Technical Product Support Engineer. Specialising in cutting-edge machine learning technology, this rapidly growing organisation offers excellent training, career progression, and long-term prospe click apply for full job details ...

enterprise data strategy. The ideal candidate will partner with business and technology leaders to deliver high-performance data systems that support analytics, AI/ML, and real-time insights. Key Responsibilities Architecture & Solution Design Architect end-to-end Databricks Lakehouse solutions including data ingestion, ETL/ELT pipelines, Delta Lake … Proven experience leading teams and delivering enterprise-grade data solutions. Preferred Qualifications Databricks certifications (e.g., Databricks Certified Data Engineer Professional, Architect ). Experience building ML solutions using MLflow or integrating with cloud ML services. Experience in BFSI, Retail, Telecom, or Healthcare data environments. Experience with real-time data processing (Kafka ...

intersection of three businesses: (1) a private equity investment arm, (2) an in-house AI transformation firm that designs and deploys bespoke GenAI, ML, and automation solutions, and (3) a suite of proprietary software products. Our team comes from places like Google, Palantir, Meta, Surge AI, Blackstone, TPG, Cerberus, Millenium … end. About You: You are a hybrid: part technologist, part strategist, part operator. You are equally comfortable whiteboarding a model architecture with an ML engineer, presenting an AI transformation roadmap to a private equity partner, and pressure-testing an LBO model. You move fast, you think in structures ...

e.g. Snowflake, Redshift, etc.) and also IaC ( e.g. Terraform, CloudFormation ) Pragmatic approach to solving problems Nice to haves: Keen interest in modern AI/ML techniques Experience in a consultancy or client-facing role Certifications in relevant technologies ( e.g. AWS Cloud Practitioner, Azure Fundamentals, etc.) Why Indicium AI Plentiful opportunity … support for learning & development; £2k annual training budget (with 5 study days), access to Udemy, external consulting & leadership skills training Fast-growing start-up organisation with huge opportunity for career growth Competitive salary package along with company annual bonus A hugely collaborative working environment where every person’s viewpoint ...

Architecture. Experience in AI-enabled customer experience transformation. Degree in Computer Science, AI, or related field (or equivalent practical experience). Cloud, AI/ML, or CX vendor certifications (AWS/Azure/GCP, Genesys Cloud, OpenAI, Hugging Face, etc.) are a plus. Flexible/remote working options Private healthcare … life insurance Pension plan Cycle-to-work scheme 28 days paid annual leave (including company-wide wellbeing days) Access to LinkedIn Learning and ongoing development programs If you’re ready to shape the future of AI-driven customer experience and thrive in a collaborative, fast-paced environment ...

with one or more languages (e.g. Python, Java, Scala, Go ) Pragmatic approach to solving problems Nice to have: keen interest in modern AI/ML techniques Why Indicium AI Fast-growing start-up organisation with huge opportunity for career growth Highly competitive salary package along with company bonus A hugely … meaning security and support for new initiatives and global market expansion Pick your own Gear! Macbooks, PCs, Accessories! Drive your development with a personal learning budget ...

observability using Cloud Logging, Cloud Monitoring, Error Reporting, Trace, and Profiler; build model/LLM telemetry dashboards and alerts. Identify the right AI/ML frameworks, cloud services, model orchestration tools, and infrastructure components that align with business needs and scalability goals Architect APIs, microservices, and integration patterns that embed … model risk management, and LBG internal policies. Knowledge of banking processes: retail banking, lending, payments, compliance. Strong experience designing end to end AI/ML architectures, including data ingestion, feature engineering, model training, deployment, and monitoring. Hands on expertise with cloud AI platforms (GCP). Strong knowledge of LLMOps practices ...

observability using Cloud Logging, Cloud Monitoring, Error Reporting, Trace, and Profiler; build model/LLM telemetry dashboards and alerts. Identify the right AI/ML frameworks, cloud services, model orchestration tools, and infrastructure components that align with business needs and scalability goals Architect APIs, microservices, and integration patterns that embed … model risk management, and LBG internal policies. Knowledge of banking processes: retail banking, lending, payments, compliance. Strong experience designing end-to-end AI/ML architectures, including data ingestion, feature engineering, model training, deployment, and monitoring. Hands-on expertise with cloud AI platforms (GCP). Strong knowledge of LLMOps practices ...

Databricks. In this role, you will define both high-level and low-level designs, shape scalable and secure data and AI/ML platform capabilities, and drive seamless integration with core enterprise systems. The ideal candidate combines deep cloud architecture expertise, strong data engineering and AI/ML platform experience … other data/AI services within the ecosystem.The ideal candidate brings a strong blend of cloud architecture, data engineering, and AI/ML platform experience, along with the ability to translate business requirements into scalable and secure technical solutions. Key Responsibilities: Architecture & Design Define ...

Role: Full Stack Commerce Engineer (Generative AI/ML) Location: London, UK Salary: Competitive salary and package dependent on experience Career Level: Manager Accenture is a leading global professional services company, providing a broad range of services in strategy and consulting, song, technology and operations, with digital capabilities across … integrating LLMs from Nvidia, Writer, OpenAI/ChatGPT, and Google Gemini. Integrate with the Commerce Ecosystem : Architect data flows and integrations between AI/ML models and enterprise experience platforms, understanding how to leverage AI to structure and enrich data for PXM, CDP, and other systems. Manage Advanced Databases : Design ...

Drive productivity and cost optimizations. Your Profile: Essential skills/experience/knowledge: Experience in architecting and solutioning in Gen AI, Agentic AI, classic ML, and automation space. Good understanding of Prompt engineering, RAG pipelines, Supervised/unsupervised Model tuning, MLOps/LLMOps pipelines, and AI observability. Experience in Enterprise … CrewAI, LangGraph). Strong working knowledge and practical deployment experience on at least one major cloud platform (AWS, Azure, GCP), including their AI/ML services. Strong foundation in software engineering principles for building scalable, maintainable, and production-ready AI systems. Proficiency in Python with AI/ML frameworks (PyTorch ...

death globally and an important risk factor for a variety of neurodegenerative diseases and cancer. Sustainably addressing these diseases requires breakthrough therapeutics, AI/ML innovation, and transformative business models that translate clinical outcomes into economic value. The Opportunity Own the cloud platform that powers Onsera Health's breakthrough healthcare … secure product delivery across all our global engineering and AI teams. You will be in the central seat across all our deliveries including data, ML, LLM, agentic AI, and applications. Responsibilities Own GCP infrastructure – Operate and evolve production and non-production environments; manage cost visibility, quotas, and alerts; maintain clean ...

digital consultancy supporting data-driven services across the UK public sector. The organisation values collaboration, inclusion, and work-life balance, and actively supports continuous learning and professional development through access to training, modern engineering tools, and supportive multidisciplinary teams. The consultancy works closely with government departments and public sector … organisations to design, build, and operate secure, scalable data platforms that enable advanced analytics, data science, and machine learning. Diversity and inclusion are core values, and hiring decisions are based on skills, experience, and potential. Empowering individuals and building strong teams are central to delivering meaningful outcomes for clients ...

Responsibilities Own the technical vision and architecture of the OpenExpert.AI Digital SME platform Build and lead a world-class engineering team across AI/ML, data, and full-stack Develop multi-modal AI systems for diagnostics, reasoning, and predictive analytics Drive rapid product development from prototype to customer pilots Ensure … Head of AI) Proven ability to build and scale engineering teams and ship complex products from concept to production AI/ML Expertise Deep experience with LLMs, multi-modal models (time-series, sensor, imagery, text), explainable AI, knowledge graphs, and real-time predictive analytics Track record building enterprise-grade ...

FATF, OFAC, EU AML directives, sanctions regimes, fraud and consumer protection regs, surveillance regulations). AI & Agentic AI Productization Partner with AI/ML and data science teams to define AI powered investigation capabilities, including: Intelligent case creation, clustering, and prioritization. Agent driven evidence gathering across internal and external data … think from first principles about how AI and Agentic AI can reshape the investigation lifecycle, not just add point features. Comfort working with LLMs, ML models, retrieval systems, and orchestration frameworks, and translating these into user‐facing capabilities and requirements. Domain Depth in Investigations & Disclosures: Strong understanding of how investigators ...

possible without ensuring we deliver an exceptional employee experience. Your life at PEXA Your growth We encourage you to hit your personal and professional learning and development goals with our tailored programs and tools. Your wellness We care about your holistic wellbeing. Your work/life blend We know … Have Experience in financial services, property technology, or regulated industries Experience leading distributed teams across multiple locations and time zones Knowledge of AI/ML frameworks: LangChain, Anthropic Claude, AWS Bedrock, GitHub Copilot Experience with modern data platforms: Databricks, Snowflake, dbt Background in DevSecOps or platform engineering ...

NoSQL technologies. Understanding of ETL vs ELT trade-offs . Awareness of DevOps and CI/CD for data platforms. Understanding of how ML/AI workloads integrate with data platforms . Hands-on coding (Python, Java, R) is a plus. Governance, Security & Risk Experience designing within formal architectural governance … programme and portfolio governance . Experience working with Agile delivery models (SAFe, Scrum, Kanban). Our client offers: Flexible working options. Strong focus on learning, development and career progression . An inclusive, supportive culture that values diversity, collaboration and well-being . A workplace committed to equal opportunities ...

reliable operation of autonomous robotic systems within the company's robotics platform. Working closely with cross-functional teams across embedded systems, AI/ML and systems architecture, you will help design, develop and validate robotics software that meets high performance and safety standards. We are looking for someone who enjoys … Responsibilities: * Design, develop and implement robotic software components and algorithms across perception, planning, control and decision-making systems * Collaborate with embedded engineers, AI/ML specialists and system architects to integrate software into the wider robotics platform * Conduct testing, optimisation and validation to ensure software meets safety and performance requirements ...

reliable operation of autonomous robotic systems within the company's robotics platform. Working closely with cross-functional teams across embedded systems, AI/ML and systems architecture, you will help design, develop and validate robotics software that meets high performance and safety standards. We are looking for someone who enjoys … Responsibilities: Design, develop and implement robotic software components and algorithms across perception, planning, control and decision-making systems Collaborate with embedded engineers, AI/ML specialists and system architects to integrate software into the wider robotics platform Conduct testing, optimisation and validation to ensure software meets safety and performance requirements ...

reliable operation of autonomous robotic systems within the company's robotics platform. Working closely with cross-functional teams across embedded systems, AI/ML and systems architecture, you will help design, develop and validate robotics software that meets high performance and safety standards. We are looking for someone who enjoys … Responsibilities: * Design, develop and implement robotic software components and algorithms across perception, planning, control and decision-making systems * Collaborate with embedded engineers, AI/ML specialists and system architects to integrate software into the wider robotics platform * Conduct testing, optimisation and validation to ensure software meets safety and performance requirements ...

integrated technical blueprints covering AI, analytics, applications, integration, and security. Define and communicate the digital and data architecture vision - including use of generative AI, ML platforms, and automation accelerators. Balance innovation with cost efficiency, delivery feasibility, and risk. User-Centric Problem Solving - Solutions must be designed with end-user productivity … experience: Digital Architecture 10+ years designing large-scale digital transformation solutions - including AI, data platforms, and cloud architectures. AI & Data Expertise in AI/ML platforms (Azure AI, AWS SageMaker, Google Vertex AI), data governance, analytics, and responsible AI practices. Cloud & Integration Strong understanding of hybrid and multi-cloud architectures ...

execution across complex migrations, AI enablement, and digital modernisation. Architect and deliver agentic AI systems (LangGraph, LangChain, tool-calling, memory), RAG pipelines, and enterprise ML workloads. Skilled in Azure and AWS AI stacks, Fast API microservices, Kubernetes, and secure vector search patterns. Strong background in FinOps, secure landing zones … contributor to AI leadership content, events and thought leadership, simplifying frontier AI for executive audiences. Core Capabilities Enterprise AI & Architecture Agentic AI, RAG, enterprise ML in regulated FS Azure AI Studio, Azure AI Search, Fabric, Document Intelligence AWS Bedrock & SageMaker pattern experience FastAPI, Kubernetes, Docker, CI/CD (ADO/ ...