676 to 700 of 1,644 Machine Learning Jobs in England

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 ...

risk, or compliance analytics Demonstrable consulting or cross-functional delivery experience in FS or fintech Proven leadership of technical or investigative teams Familiarity with ML, LLMs, or automation in regulatory or fraud contexts Experience in data engineering and AI technologies (Added bonus: Python, Azure, ETL) Key Details Location: London ...

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 ...

best practices Ability to balance speed of delivery with technical quality and business priorities Experience managing hybrid and distributed teams Understanding of AI/ML trends and practical business applications Knowledge of cybersecurity, compliance and secure software practices Excellent stakeholder management and communication skills Compensation Up to £140K base salary ...

Owner (CSPO), SAFe PO/PM). Experience with specific London Market data standards (e.g., ACORD, Blueprint Two initiatives). Exposure to AI/ML product development in a financial context. About ValueMomentum ValueMomentum is a leading solutions provider for the global property & casualty insurance industry, supported by deep domain ...

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 ...

load Cloud or serverless deployment experience (AWS, GCP, Azure, or Vercel/similar) Database schema design and query performance optimisation Familiarity with AI/ML tooling or LLM integrations in production systems SaaS, CRM, or enterprise platform experience Agile or Scrum certification (though practical experience is more important ...

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 ...

expertise and relationships You’ll work with organisations across: High-growth AI startups and scaleups FinTech and data-led businesses Global enterprises investing in ML, cloud and automation Typical roles covered: Data Engineering (Python ecosystems) Machine Learning & AI Cloud platforms (AWS, Azure, GCP) Who thrives in this role ...

most critical artificial intelligence and machine learning initiatives. You will oversee the end-to-end delivery of programs that embed AI/ML models and advanced data analytics into our core credit risk decisioning and management processes. This strategic role requires a blend of program management discipline … sophisticated understanding of the AI/ML lifecycle, and deep expertise in the credit risk domain. You will act as the key bridge between data science, technology, business, and control functions to ensure changes are delivered responsibly and effectively. What we’ll offer you A healthy, engaged and well-supported ...

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 ...

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 ...

positive can-do attitude and willing to help other members of the team. · Understanding of Apache Spark, Apache Trino or other big data and machine learning systems. · Exposure to using AI tools to enhance productivity and quality of coding, reviews and documentation. Why Join RealityMine? At RealityMine … do. That’s why we go the extra mile to support every team member to unlock their full potential. Whether you're hungry for learning, driven by achievement, or just love being part of a dynamic and supportive team, you'll find a home here. Your Benefits · Generous Time ...

positive can-do attitude and willing to help other members of the team. · Understanding of Apache Spark, Apache Trino or other big data and machine learning systems. · Exposure to using AI tools to enhance productivity and quality of coding, reviews and documentation. Why Join RealityMine? At RealityMine … do. That’s why we go the extra mile to support every team member to unlock their full potential. Whether you're hungry for learning, driven by achievement, or just love being part of a dynamic and supportive team, you'll find a home here. Your Benefits · Generous Time ...

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 ...

Axola app. You will take ownership of the technical delivery across frontend, backend, cloud and mobile, working closely with the founder and AI/ML engineers. Your responsibilities will include developing the web platform and mobile app, building APIs, supporting integrations, and deploying machine learning models into production. … databases, APIs, authentication, security). Cloud experience ( AWS/GCP/Azure , Docker, Kubernetes, CI/CD pipelines). Ability to integrate and deploy ML models into production. Startup mindset — ability to deliver with limited resources and wear multiple hats. Passion for sport and technology is a strong plus. What ...

want to define the engineering standards behind one of the UK's most ambitious synthetic data platforms? Have you ever built ML infrastructure that enabled researchers and engineers to ship production AI at scale? Are you ready to lead a growing engineering team shaping the future of synthetic data … Build scalable GCP, Kubernetes, and Vertex AI infrastructure • Establish engineering standards, SDLC processes, and delivery practices • Partner with researchers to productionise advanced AI and ML systems • Drive platform security, governance, compliance, and reliability initiatives • Optimise cloud infrastructure and GPU utilisation for GenAI workloads Key Details • Salary ...

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 ...

business leaders on data-driven decisions. Drive improvements in client and customer outcomes through active data analysis and modeling. Develop and refine predictive and machine learning models. Build and optimize customer lifetime value and key metric models. Continuously improve analytics and model accuracy. Lead and contribute to scalable … Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields. Experience in Consumer/Marketing Analytics Strong proficiency in Python and experience with relevant ML libraries/frameworks. Please note: This role requires 1 day onsite per week onsite in Central London. This role cannot provide visa sponsorship. ...

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 ...