426 to 450 of 1,111 Machine Learning Jobs in England

annum SC cleared The Opportunity Help deliver cutting-edge software solutions. You'll work on complex, real-world challenges using modern technologies like machine learning, edge computing, and DevOps automation to accelerate capability deployment. The Role You'll contribute to the development, release, and support of operational systems ...

Experience Strong experience in software engineering, delivering complex distributed or microservice-based systems. Proven capability building and operating production applications with embedded AI or machine learning features. Strong programming skills in languages such as Java, Python, or Node.js, with exposure to modern frontend frameworks where relevant. Solid experience ...

Snowflake Define data architecture roadmaps aligned to business and AI strategies Drive data modelling, governance, integration and interoperability standards Architect solutions supporting analytics, machine learning and AI use cases Provide technical leadership across data engineering, analytics and AI delivery teams Establish best practice around security, privacy, compliance, metadata ...

from data Experience translating complex analysis into clear business recommendations Experience creating dashboards and data visualisations that effectively communicate insights Understanding of predictive analytics, machine learning and AI applications (desirable) Experience using AI-enabled tools and workflows to enhance analytics, automation and insight generation (e.g. Copilot, Codex, Claude ...

stakeholder satisfaction. Oversee foundational platform and data processes that support Client360. Drive continuous improvement by establishing and monitoring key performance indicators. Leverage analytics, including machine learning and AI, to derive actionable business insights. Understand internal team needs and anticipate future requirements, collaborating across business lines. Utilize platform ...

Experience with Azure Data Factory, Databricks, Spark, or lakehouse architectures. Exposure to Microsoft 365, Power Platform, or Microsoft Graph API. Understanding of AI/ML workflows and the data requirements that support them. Experience supporting large-scale data migrations or transformation programmes. Background working within architecture, design, engineering, or other ...

project lifecycle. Champion continuous improvement and innovation, driving operational excellence within delivery teams. What We're Looking For: Proven experience managing AI/ML, data platforms, and cloud (Azure/AWS) projects in an Agile, consultative, or hybrid delivery environment. Strong technical understanding of data engineering, analytics, and software delivery ...

industry experience Strong background in Python or similar languages Significant experience with backend development , microservices, and distributed systems Hands-on experience with AI/ML systems , including LLMs, RAG, or vector databases Solid understanding of containerisation and orchestration (Docker/Kubernetes) Experience delivering secure, on-premise or regulated systems Proven ...

production-grade conversational and generative AI products at scale. The role This is a platform and infrastructure engineering role - not a data science or ML engineering position. You'll own the runtime, infrastructure, and operational layers that RAG pipelines, LLM orchestration, vector search, and evaluation workflows run on, across ...

Oracle) and data modelling (canonical data models, JSON). Deep experience with enterprise messaging platforms (Kafka, IBM MQ). Proven experience implementing AI/ML solutions (using Python or other frameworks) to solve business problems. Full‐stack development experience (RESTful APIs, front‐end frameworks such as Angular). Experience with ...

Design, develop, and deploy AI-integrated solutions for client engagements using modern full stack technologies. Integrate Azure AI services (Azure OpenAI, Cognitive Services, Azure ML, AI Search) into production applications. Build and refine LLM-powered features, agentic workflows, and MCP (Model Context Protocol) integrations. Collaborate with clients to understand requirements ...

practical experience. Proven experience as a Senior Software Engineer or similar role. Strong expertise in AWS services, particularly Amazon Lex and other AI/ML services. Proficiency in TypeScript and modern JavaScript frameworks. Solid understanding of DevOps methodologies and tools (e.g., CI/CD, Serverless, Monitoring). Experience with contact ...

Fairygodboss is looking for an Applied AI ML Director specialized in NLP, LLM, and Graph analytics to join their team in the UK. This role will focus on advanced machine learning solutions for various applications including speech analytics and recommendation systems. Ideal candidates should possess … quantitative discipline and have hands-on experience with deep learning methods. Strong communication skills and the ability to work in collaborative environments are essential for success in this position. #J-18808-Ljbffr ...

agent AI architectures and tool invocation frameworks Experience with CCaaS platforms (Google CES/CXAS, Genesys, NICE, Amazon Connect) Strong understanding of AI/ML lifecycle, MLOps, and data governance Experience working with Tier-1 banks or large financial institutions Certifications Google Cloud Professional Data Engineer (Highly Preferred) Google Professional … Cloud Architect Google Machine Learning Engineer Certifications in Conversational AI (Dialogflow CX or equivalent) TOGAF/Enterprise Architecture certifications Data certifications (good to have): CDMP, Databricks, Snowflake ...

Requirements Current Head of AI, Head of Data Science, or Senior AI Lead ready to step up. Proven experience building and scaling AI/ML teams (0–10/0–15) . Insurance experience Strong technical credibility in ML, AI, and enterprise platforms. Hands-on experience with Azure, Databricks … ML tools (TensorFlow, PyTorch, Scikit-learn). Knowledge of Responsible AI, ethical frameworks, and compliance standards . Experience in insurance or regulated financial services preferred. Comfortable presenting to and influencing executives . Collaborative, adaptable, and able to navigate complex stakeholder environments . To apply: Please reach out via LinkedIn ...

Join Axon in London as a Machine Learning Scientist, where you will advance AI technologies for law enforcement. The role emphasizes collaboration and innovation, supported by a hybrid work model that fosters teamwork and mentorship. Ideal candidates will have a PhD and extensive experience in LLM, MLLM … Computer Vision, alongside strong programming skills in Python and deep learning frameworks. #J-18808-Ljbffr ...

world's most innovative financial institutions. Your mission is to secure the technical win by demonstrating how Taktile leverages Generative AI and advanced ML to solve complex credit, risk, and fraud challenges. You are a trusted advisor to our customers and help them achieve their strategic goals and realize value … cases that justify significant investment and strategic partnership. You lead the design and execution of proof‐of‐value projects that combine customer data, ML/AI models, and Taktile’s platform to demonstrate strategic ROI. You build technical prototypes and demos leveraging the Taktile platform that simulate production‐grade integrations ...

drive the development of advanced fraud and financial crime detection systems. This role requires collaboration with product, engineering, and design teams, along with mentoring ML practitioners to ensure effective outcomes. Based in London, the position offers flexibility for remote work within the UK, a £1,000 annual learning budget … potential for part-time arrangements. Candidates will be empowered to lead impactful ML initiatives with a focus on protecting customers from fraud. #J-18808-Ljbffr ...

Mathematics, Computer Science, Data Science). Proficiency in SQL and working knowledge of Python and/or R. Understanding of statistical and machine learning techniques (e.g. regression, clustering). Strong communication skills with the ability to explain technical concepts to non-technical audiences. Organised, proactive, and able … platforms (eg Databricks, Snowflake, MS Fabric). Familiarity with MLOps practices and version control tools (e.g. Git). Experience with deployment and maintenance of ML models in production environments. SQL MS Excel Power BI Python and/or R Behaviours: Collaborative and team player Logical thinker with a professional ...

Anaplan Inc is looking for a Principal Machine Learning Engineer in Greater London. In this role, you will lead … architecture, design, and deployment of scalable AI systems. Your work will empower business users to leverage GenAI within their planning workflows, demanding both deep ML knowledge and software engineering skills. The ideal candidate has extensive experience in AI and ML, with a strong understanding of LLMs and prompt engineering. Anaplan ...

Creandum is looking for a Staff Machine Learning Engineer to build and scale ML systems for content understanding across audio, video, text, and images. In this pivotal role, you will develop models to enhance content quality and safety, ensuring high-quality experiences for users. This position offers flexibility ...

Search Place Limited is seeking a Lead Machine Learning Scientist to enhance customer experiences through advanced Machine Learning. In this role … will analyze vast data sets, ensuring personalized banking services. Your leadership will be crucial in collaborating with cross-functional teams to deliver impactful ML solutions. The position offers flexible working hours, with part-time options and potential for relocation or visa sponsorship. Join us and make a significant impact ...

agentic AI capabilities beyond experimentation and into dependable products thatoperatesafely and effectively at scale across our global marketplace. Working closely with software engineers, machine learning engineers, data scientists, product managers,analystsand technical leaders, you will shape how we build, test, deploy,monitorand govern AI-powered systems. Success … reliability and security. Provide technical leadership to evolve AI solutions from experimentation into robust, observable and maintainable products. Collaborate cross-functionally with product, engineering, ML and data teams to align technical decisions with user needs, business priorities and long-term platform strategy. Define and drive engineering standards, reusable patterns, tools ...

/Azure) Strong proficiency in at least one systems language (e.g., Rust, Go, or Python), IaC proficiency with Terraform Hands‐on experience with machine learning accelerators (GPUs, TPUs, or Trainium) Track record of leading complex, multi‐quarter technical initiatives that span multiple teams or systems Ability to build … level systems experience: kernel, virtualization, device drivers, firmware, or hardware health/diagnostics daemons Familiarity with high‐performance networking (EFA, RDMA, InfiniBand) for distributed ML workloads Demonstrated ownership of production reliability for high‐throughput, latency‐sensitive systems Contributions to relevant open‐source projects (Kubernetes, Linux kernel, container runtimes, etc.) Skill ...

Agile Scrum delivery teams. Excellent communication, stakeholder engagement and documentation skills. Essentials Experience Significant commercial experience developing enterprise applications using Python. Experience with AI, machine learning or computer vision technologies. Proven experience designing and deploying production-grade web applications and APIs. Experience implementing DevSecOps practices within CI/… responding to requests respectfully, politely, and professionally at all times. Taking an honest approach to business - Is clear, accountable, reliable, knowledgeable, and direc Listening, learning, and finding better ways to make a difference - Looks for opportunities to improve business processes by collaborating with others; is receptive to new ideas ...