1,051 to 1,075 of 2,829 Machine Learning Jobs in England

Typescript. 3 years of experience with front-end frameworks, full-stack development, or API development. 1 year of experience with software design, architecture, and machine learning. 1 year of experience with agentic coding. Preferred qualifications: Master’s degree or PhD in Engineering, Computer Science, or a related technical field. ...

with each feature. About you: Qualifications and experience: Essential: Degree in computer science, software engineering or a related discipline, or demonstrably equivalent professional experience. ML operations capability: comfortable operating model-serving infrastructure and running established training and evaluation pipelines on Linux/GPU hardware process management, resource monitoring, versioned promote ...

external developer inside the company — turning real deployment pain into roadmap priorities. Work in a tight hardware-software co-design loop with ML compiler, runtime, systems software, and silicon engineers to shape APIs and abstractions before they ossify. It would be great if you have: Strong software engineering fundamentals … on. Excellent Python skills, with solid experience of one or more systems languages such as Rust, C++, or Go. A good understanding of modern ML workloads and the practical challenges of deploying large language models to production. Empathy for the developer experience — you instinctively reduce the number of steps, surprises ...

evaluation , implementing rigorous frameworks to continuously monitor, measure, and improve GenAI feature quality, accuracy, latency, and user satisfaction. , Collaborate with data scientists to productionise ML models and forecasting algorithms Your Skills Extensive background in Data Science Engineering, with a clear track record of principal‐level technical leadership. Hands‐on experience … building and shipping AI/ML products in production Deep practical experience with LLM‐based systems: RAG architectures, embedding pipelines, prompt and response logging, evaluation frameworks. Hands‐on expertise with vector databases, graph databases, and knowledge graphs End‐to‐end exposure in model lifecycle development, including extensive experience training ...

needs and provide actionable insights. Ensure data quality and integrity through regular audits and validation processes. Mentor and guide junior data scientists, fostering continuous learning and improvement. Your Day to Day Lead advanced deep‐dive analyses to produce clear narratives on key business questions. Apply sophisticated quantitative methods such … machine learning, causal inference, synthetic controls, difference‐in‐differences, and propensity score matching. Build and evolve customer segmentation frameworks to reveal behaviorally distinct cohorts. Analyze cross‐product engagement impacts on retention, monetization, and long‐term value. Monitor key consumer funnel metrics across products, segments, and geographies. Develop business ...

cutting edge of the field, with current research threads including: System Understanding: Interpretability, steering vectors, and the science of evaluations. Control & Alignment: Goal drift, machine unlearning, and uncertainty calibration. Societal Safeguards: Misinformation mitigation and robust deployment boundaries. We collaborate closely with the the company’s wider AI safety team … labs, or evaluation roles. Deep knowledge of language models and generative AI architectures, including white-box techniques beyond API-level access. Strong foundation in machine learning fundamentals, particularly in robustness, explainability, or uncertainty estimation. Proficiency with deep learning frameworks like PyTorch and the Python skills required ...

apply FGAC to their sensitive data. We build products that apply context based authorization to solve the problem of over-permissioning. We apply Machine Learning Techniques in our Monitored Access (MA) abuse detection program to preemptively detect and mitigate internal and external malicious actors. We do this … operations, and physical stores. Inclusive Team Culture In Amazon Security, it’s in our nature to learn and be curious. Ongoing DEI events and learning experiences inspire us to continue learning and to embrace our uniqueness. Addressing the toughest security challenges requires that we seek out and celebrate ...

Fractal Analytics UK Limited is looking for a Senior AI/ML Engineer for a 12-month fixed-term contract in West London. This role offers a hybrid work model, requiring onsite presence for 2 days per week. The ideal candidate will design and optimize machine-learning models … maintain data pipelines, and supervise models in production. Candidates should have proficiency in Python and experience with ML frameworks like TensorFlow and PyTorch, along with strong analytical problem-solving skills. #J-18808-Ljbffr ...

team with access to cutting-edge multiomic and interventional datasets, advanced computational infrastructure, and deep interdisciplinary expertise, and a culture that embraces modern ML tooling, including agentic workflows, to accelerate research iteration. You will contribute advanced data analysis and domain expertise to challenge ML models that aim to predict … cohort design through to interpretation, so experiments are analytically tractable and pipelines maximise data value. Contribute to the evaluation framework that determines whether ML models capture meaningful biology: design metrics, held-out benchmarks, and biological sanity checks. Collaborate closely with ML modellers to develop model architectures. Present findings and methodologies ...

develops and deploys responsible AI solutions for clients across government, finance, retail, energy, life sciences, and defence. Задачи Set the technical direction for complex ML projects, balance trade-offs, and guide team priorities; Design, implement, and maintain reliable, scalable ML and software systems while justifying key architectural decisions; Define project ...

Senior Specialist Solutions Architect (AI/ML) London, United Kingdom Mission As a Senior Specialist Solutions Architect (ML & AI), you will serve as the trusted technical ML and AI expert for Databricks customers and the Field Engineering organization. You will partner with Solution Architects to guide enterprise and strategic customers … architecting production‐grade ML and AI applications on the Databricks Data Intelligence Platform. You will also continue to sharpen your technical expertise in cutting‐edge areas like GenAI, ML, MLOps, and LLMOps, while mentoring colleagues and establishing yourself as an AI thought leader. Impact you will have Architecting Workloads: Design ...

JPMorgan Chase's Chief Data & Analytics Office seeks an Applied AI ML Director - NLP/LLM and Graphs to apply cutting-edge machine learning methods to complex tasks such as NLP, graph analytics, and time-series predictions. You will collaborate with business, technology, product, legal, and compliance teams … deploy solutions into production. The role emphasizes deep learning expertise, agentic AI, and strong communication skills, in a highly collaborative setting across the firm. #J-18808-Ljbffr ...

discoverable, well-governed, and AI-ready for machine learning, GenAI, and agentic use cases across the business. Partner with AI/ML teams to define patterns for feature engineering, model data pipelines, vector search, and safe exposure of enterprise data to AI systems. Evaluate emerging technologies and make ...

complex business requirements into robust, scalable architectures on Google Cloud, operating at the intersection of technical depth and stakeholder collaboration. Working across AI and ML workloads, data platform design, and cloud migrations, you will act as a trusted technical voice for clients and a key partner to delivery teams. … client needs Define and design infrastructure strategies using IaC, containerisation, and CI/CD for repeatable, production-grade deployments Design and architect AI/ML and Agentic AI solutions using Google Cloud services such as Vertex AI, Model Garden, and Gemini Develop Agentic AI systems and intelligent automation workflows Design ...

ensure smooth cross‐functional collaboration. Build an Inclusive Culture: Advocate for health, inclusion, and diversity, nurturing a respectful and empowering environment that encourages continuous learning and improvement. Qualifications A proven track record as an Engineering Manager building high‐performing teams and processes. Experience as an individual contributor or leader … Search domain. Worked closely with Machine Learning and Data Science colleagues. Worked closely with Design and Product as a Product Engineer or Engineering Manager to build rich user experiences. Full‐stack expertise, leveraging technical leadership to uphold high engineering standards across backend and frontend. Strong sense of ownership ...

Scientist to drive the development and deployment of models that enhance how customers search for financial products. You will collaborate across Backend, Product, ML Scientists and Data Scientists to deliver proactive, data-informed solutions that improve user outcomes. You will own end-to-end ML initiatives, balancing speed … robustness, and you’ll translate business problems into scalable ML solutions that integrate with our data-driven product #J-18808-Ljbffr ...

Strong understanding of software engineering fundamentals, system design and performance optimisation. Experience building products and platforms from concept through to production. Exposure to AI, Machine Learning or LLM‐powered applications is highly desirable. A passion for modern engineering practices, continuous learning and solving complex technical problems. What ...

move and manage money worldwide. It enables international transfers, spending abroad, and international payments for people and businesses. Задачи Own the evolution of ML experimentation tooling and label quality, initially for Fincrime teams and later for other Servicing squads; Co‐own stakeholder management, roadmap, delivery, and onboarding; Conduct presentations, demos … teams; Implement software engineering practices including testing, CI/CD, monitoring, alerting, and disaster recovery; Develop MLOps capabilities with Terraform and AWS infrastructure; Support ML governance for hundreds of models; Build data engineering solutions for distributed processing at terabyte scale; Prove the value of new methodologies and algorithms across cross ...

Strong understanding of software engineering fundamentals, system design and performance optimisation.* Experience building products and platforms from concept through to production.* Exposure to AI, Machine Learning or LLM-powered applications is highly desirable.* A passion for modern engineering practices, continuous learning and solving complex technical problems.**What ...

code workflows, and intelligent document processing solutions. Lead the investigation and evaluation of AI technologies that can enhance regulatory processes, including NLP, machine learning, generative AI, and predictive analytics. Develop AI‐enabled use cases such as automated document classification, impact assessments, regulatory intelligence scanning, and predictive submission planning. … Receive United Kingdom: Competitive salary, annual bonus, pension scheme, health insurance, 24 days annual leave, flexible working arrangements, employee recognition scheme, and learning and development opportunities. Netherlands: Temporary employment for 1 year with a probation period and flexible working; learning and development opportunities; indefinite employment contract based ...

dashboards that enable customers to interact with large‐scale risk and analytics data in real time. You will work across the stack, collaborating with machine learning and backend engineers to ensure interfaces are reliable, secure, and intuitive. The focus is on building scalable UI solutions that meet strict … with backend inference APIs, behavioural signals, and analytics services Implement secure UI patterns, role‐based access controls, and compliance‐aware data presentation Collaborate with ML engineers to surface model insights and AI capabilities through well‐designed interfaces Own DevOps responsibilities for front‐end services, including build pipelines, deployment, monitoring ...

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 ...

technologies, including Generative AI and Machine Learning* Hands-on experience working with Large Language Models (LLMs)* Experience with Python in AI/ML frameworks and libraries* Track record in the architecture and design of domain-specific solutions with expertise in building scalable and robust services in production environments ...

Google Cloud's premier partner in AI, driving transformation for world-class businesses. We push the boundaries of technology with expertise in machine learning, data engineering, and analytics on Google Cloud Platform. By partnering with us, clients future-proof their operations, unlock actionable insights, and stay ahead … tools and processes Tech Enthusiasm: Strong passion for technology and a drive to continuously learn Team Collaboration: Eagerness to join a diverse team of ML, AI, and DevOps enthusiasts Bonus Points If You Have: Start-Up/Scale-Up Experience: Previous experience working in a start-up or scale ...

capabilities beyond experimentation and into dependable products that operate safely and effectively at scale across our global marketplace. Working closely with software engineers, machine learning engineers, data scientists, product managers, analysts and technical leaders, you will shape how we build, test, deploy, monitor and govern AI‐powered systems. … 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 ...