4,551 to 4,575 of 6,539 Machine Learning Jobs in the UK

unified platform approach (Identity, Device, and Data security). Experience with detections. Familiarity with the mechanics of modern email threats and how machine learning can be used for detection. Good design sense. You’re comfortable collaborating with design engineers to translate the requirements into lo-fi prototypes. Compensation ...

Haleon plc. seeks a senior data scientist to join the Global AI & Data Science team in London. You will build ML models for marketing, commercial and digital, and work with data engineers and ML engineers to deliver high-impact data-driven solutions. You will deploy models, monitor performance ...

Machine Learning Engineer, NLP | InsurTech, AI, Scale-up | London 5 Days in Office, Up to £165,000 Stocks & Benefits Owen Thomas is partnering with a high-growth, venture-backed InsurTech scale-up that is disrupting a massive $200B global market. Using AI they deliver automation that … founding team, learning exactly how to scale a business from 0 to 1 Requirements 2 years of commercial experience in AI/ML engineering or applied research. Strong experience working on NLP projects. A proven track record of shipping AI/ML projects from initial concept to live production ...

Expedia Group is seeking a Product Owner to lead AI, ML, and automation initiatives within Growth Marketing Technology. You will collaborate with engineering, data science, analytics, and marketing to translate complex problems into scalable product solutions, manage data pipelines, and drive measurable outcomes. The role requires 8+ years in product … management for data/AI/ML, with hands-on experience taking AI capabilities to production. #J-18808-Ljbffr ...

Lloyds Banking Group is seeking a Lead Data Scientist for its Chief Security Office to advance cybersecurity using AI/ML in a data-rich environment. This role spans the UK with a hybrid work pattern and focuses on transforming threat detection and response. You will own security outcomes, lead … team of data scientists, and collaborate with data engineers on scalable ML pipelines in GCP while ensuring model explainability and regulatory alignment. #J-18808-Ljbffr ...

London is seeking a mid-level Data Scientist to join the Data & AI team building production AI and ML systems for underwriting decisions. You will run experiments, design evaluation frameworks, and work with engineers to deliver live, scalable solutions that drive real business outcomes. You'll collaborate with ML engineers ...

Global Market Intelligence in London seeks a senior analytics leader to define and drive the AI/ML roadmap for Enterprise Solutions, shaping high‐rigor capabilities across a regulated financial services environment. You will own the full model lifecycle, from problem framing to deployment and monitoring, partnering with engineering … product teams to deliver scalable, production‐ready ML systems and measurable business outcomes. #J-18808-Ljbffr ...

systems to underpin public health action across disciplines and organisations. Lead the development and implementation of innovative approaches to epidemic intelligence, including artificial intelligence, machine learning and advanced analytics methods for horizon scanning, signal detection and risk assessment in partnership with the Chief Data Officer Group. Provide strategic ...

Data Idols in London is seeking a Senior Data Scientist to design and deploy production-grade ML models powering personalised experiences across a large-scale digital platform. The role focuses on recommender systems, retrieval and generative AI components used by millions of customers. You will collaborate with product managers, engineers … MLOps to move ideas from experiments into production, setting best practices for robust, scalable ML systems. #J-18808-Ljbffr ...

immediate interactions Partner with product managers, data scientists, and engineers to define what success looks like and how to measure it Own the full ML lifecycle, from data and modeling to deployment, monitoring, and iteration Integrate ML models with upstream systems, including domain value signals and opportunity generation frameworks Help … have strong experience building and deploying machine learning models in production environments at scale You are comfortable translating business problems into ML solutions and discussing trade‐offs with cross‐functional partners You have worked on complex optimization problems such as ranking systems or multi‐objective decision‐making ...

Senior/Principal ML Systems Architect (TensorFlow + Python) Overview We are seeking a highly experienced ML Systems Architect to design and implement a scalable, production-grade architecture for our machine learning solver. This role bridges research prototypes and commercial deployment, ensuring reliability, maintainability, and performance … mixed technology stack. Responsibilities Architect the ML Solver Platform : Define modular architecture for data preprocessing, model execution, and post-processing. Establish clear API contracts between Python/TensorFlow and C# services. Convert research code into robust, testable, and observable services. Implement CI/CD pipelines, automated testing, and reproducibility standards. ...

prompt engineering, and fallbacks Build and maintain human-in-the-loop decision logic for high-stakes agent actions Own proprietary supervised and self-supervised ML models and apply recent academic work pragmatically Contribute across the full agentic and software stack, including Node and TypeScript Shape the evolving data strategy … Production experience building and maintaining agentic or LLM infrastructure, including evals, feedback loops, prompt engineering, fallbacks, and human-in-the-loop decision logic Pragmatic ML foundation across supervised and self-supervised methods Product-leaning and full-stack mindset Comfort contributing to a Node and TypeScript software stack Strong system design ...

deployed in production environments where reliability and latency aren't negotiable. If you want something more exciting and higher stakes than a standard SaaS ML problem, this is for you. This is a genuine engineering role with real ownership, not a support function for researchers. The Role … research and engineering teams, sitting at the boundary between experimentation and production systems. What you'll be doing: Designing and maintaining end-to-end ML pipelines across the full lifecycle Deploying and monitoring models in production across multiple compute environments Building observability and alerting layers to catch performance regressions before ...

integrity, innovation and a willingness to challenge consensus. The Machine Learning Researcher will have a deep understanding of the principles behind modern ML algorithms — including recent advances such as transformer-based architectures and other state-of-the-art frameworks — and the ability to turn that knowledge into high … impact, production-ready solutions. The role involves applying advanced ML techniques to a wide range of forecasting challenges, building scalable ML pipelines, and deploying them in production, while working with high-dimensional, noisy, structured and unstructured datasets. Experience applying ML models in financial markets is desirable, but exceptional candidates with ...

signal generation pipelines from data ingestion and feature engineering to model training and deployment - in collaboration with our trading and infrastructure teams. Responsibilities: Develop ML-based alpha generation models using high-frequency order book and market microstructure data. Design and maintain data pipelines, preprocessing, and feature extraction workflows tailored … Skills Requirements: Degree in Computer Science, Machine Learning, Applied Mathematics, or similar quantitative discipline. Strong programming skills in Python and familiarity with ML libraries. Proven track record applying ML/DL to real-world problems. Familiarity with time-series modeling, signal extraction, or high-frequency data. Experience ...

using Computer Vision so an understanding of how this works is beneficial but not essential. In this role, you will: Deliver at scale: deploy ML models across edge platforms, scaling to thousands of simultaneous matches. Lead impactful projects: Own and drive initiatives that directly enhance the experience for athletes, coaches …/or C++, plus proficiency with Edge, Kubernetes, TensorRT, Nvidia DeepStream, Nvidia Jetson, and AWS. MLOps. Product-minded approach: Demonstrated success delivering AI/ML products in collaboration with cross-functional product teams. Scalable systems expertise: Solid track record building and managing AI/ML systems in production environments ...

fallbacks Build and maintain human-in-the-loop decision logic for high-stakes agent actions Take ownership of proprietary supervised and self-supervised ML models, applying recent academic work pragmatically Contribute across the full agentic and software stack, including Node and TypeScript Shape the evolving data strategy for production … experience building and maintaining agentic or LLM infrastructure, including evals, feedback loops, prompt engineering, fallbacks, and human-in-the-loop decision logic A pragmatic ML foundation across supervised and self-supervised methods A product-leaning and full-stack mindset, with comfort contributing to a Node and TypeScript software stack Strong ...

telecoms industry, is looking to hire a Senior Backend Engineer to join their growing team. The role will involve working closely with ML and AI engineers on integrating Voice AI solutions and ML pipelines with their backend core. Tech stack you will be working with: Go, Python, Postgres, Redis, NATS ...

Alibaba Cloud's MaaS offerings, including model family, PAI platform, and GPU computing services Develop and execute go-to-market strategies for AI/ML products tailored to the European market Build a robust sales pipeline through proactive prospecting, industry events, ecosystem partnerships, and referral networks Collaborate with solution architects …/or 2+ years of specific GenAI sales experience Demonstrated track record of achieving and exceeding sales targets Strong understanding of AI/ML technologies, including large language models, generative AI, and model training/inference workflows Existing network within the AI startup ecosystem or enterprise AI community is highly ...

Scientist to join onsite in London with a PhD preferred. The role collaborates with US/Canada teams and UK asset management to leverage ML and predictive analytics for capital allocation and market insights. The role emphasizes data integration, model development, and informing investment strategies across UK locations, with travel ...

JPMorgan Chase & Co. in Glasgow, UK, seeks a Senior Lead Software Engineer to drive complex engineering challenges in AI/ML data platforms. You will lead agile teams, deliver trusted technology products, and shape engineering practices across the SDLC. The role emphasizes deep technical expertise in Java, React, TypeScript ...

govern the Wholesale Credit Risk Analytics estate, ensuring production readiness and secure, compliant cloud-native delivery. You’ll partner with product owners, data scientists, ML engineers, SRE, and stakeholders to deliver scalable analytics while reducing toil through automation and responsible AI practices. #J-18808-Ljbffr ...

Science to build data science into a core function at Fresha, not manage what already exists. The team is small but technically strong - production ML in fraud detection, text moderation, and taxonomy classification, running on SageMaker with a dbt/Snowflake stack. We're operating reactively, and there's significantly … cost - and deprioritise the rest Make the case for data science investment at the exec table Ship impact & build the technical foundation Ship ML products that drive measurable business outcomes - not just models Establish experimentation as a discipline: A/B testing, causal inference, automated experimentation Build foundational data science ...

design, and implementation across global teams, delivering secure, scalable solutions using AI and cloud-native approaches. The role requires deep expertise in AI/ML, cloud platforms (Azure/GCP), and modern compute, with strong collaboration across business and technology stakeholders. #J-18808-Ljbffr ...

JPMorgan Chase & Co. in London seeks a Software Engineer III for AI and ML Data Platforms to deliver production-grade platforms and collaborate with AI Researchers. You will mentor peers and help shape engineering practices across teams to advance experiments into robust, scalable solutions. You will build secure, scalable applications ...