3,676 to 3,700 of 5,425 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 ...

Lloyds Banking Group is seeking an AI Security Engineering Lead to architect and deliver secure engineering patterns, controls and tooling for its AI/ML ecosystem. This hands-on technical leadership role involves code, automation and platform design, while championing secure-by-design practices across senior technical teams. The role … requires deep expertise in AI/ML security, modern software engineering, and DevSecOps, with the ability to influence direction and raise security maturity across #J-18808-Ljbffr ...

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 ...

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 ...

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 ...

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 ...

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. ...

Title: Speech ML Research Contractor Location: Remote (UK) Type: 3-6 Month Contract (Full-Time or Part-Time: 20 hrs/wk for PhD students) Role Overview Join an advanced speech research team conducting exploratory, hypothesis-driven research in text-to-speech (TTS), automatic speech recognition (ASR), and generative audio … Audio Codecs . Clean, analyze, and evaluate real-world audio datasets at scale. Collaborate with research scientists with opportunities to publish at top-tier ML venues. Requirements Education: Currently enrolled in or recent graduate (within 1 yr) of a PhD or MSc in ML, Signal Processing, or CS. Core Stack ...

Manager About the Role We're recruiting on behalf of a major, well-established organisation for an MLOps Technical Manager to lead a growing ML engineering function. This is a genuinely interesting project: you'll work closely with data scientists, maintenance engineers, and cross-functional stakeholders to deliver scalable ML … systems - including predictive maintenance, fault detection, and component lifecycle optimisation. You'll own end-to-end technical delivery of ML systems, from backend infrastructure through to frontend integration, while leading and mentoring a team of engineers. This is a hands-on leadership (40% hands on) role for someone who wants ...

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 ...

Permanent About the Role We're recruiting on behalf of a major, well-established organisation for an MLOps Technical Manager to lead a growing ML engineering function. This is a genuinely interesting project: you'll work closely with data scientists, maintenance engineers, and cross-functional stakeholders to deliver scalable ML … systems — including predictive maintenance, fault detection, and component lifecycle optimisation. You'll own end-to-end technical delivery of ML systems, from backend infrastructure through to frontend integration, while leading and mentoring a team of engineers. This is a hands-on leadership(40% hands on) role for someone who wants ...

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 ...

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 ...

across a truly international footprint. As the Data & Analytics Domain Solution Architect, you will own the architecture vision across data platforms, analytics, AI/ML, visualisation, governance, and integration. You will shape the technology roadmap, set architectural standards, and design well-architected solutions that bring clarity, simplification, and value … practice frameworks. Why this role? Global remit with visibility across multiple regions, brands, and business functions Strategic architectural ownership across data, analytics, AI/ML, and governance Drive simplification & standardisation across a diverse technology environment Direct influence on senior stakeholders and enterprise-wide decision making Modern tech stack exposure including ...

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 ...

Jingdong Retail (UK) Limited is seeking a Data Engineer to design, build, and maintain scalable data pipelines and platforms that power analytics and ML systems. You will work with product managers, data scientists, and business stakeholders to ensure data availability, quality, and efficiency across markets. This role is onsite ...

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 ...

scalable data infrastructure and influence data engineering practices across the company. You will drive AI-assisted data engineering, collaborating with Analytics Engineers, Data Scientists, ML Engineers and product teams to deliver robust data capabilities. #J-18808-Ljbffr ...