1,376 to 1,400 of 3,257 Machine Learning Jobs in the UK

escalables. Realizarás la documentación y seguimiento de modelos, evaluarás desempeño y propondrás mejoras, manteniéndote a la vanguardia de tendencias en analytics y ML, en un ambiente global con impacto en clientes. #J-18808-Ljbffr ...

solutions that enable analytics, automation and AI-driven business outcomes. You will develop Snowflake-based data platforms to support reporting, data science and ML workloads, and create automated data pipelines with governance. You will collaborate with stakeholders, promote best practices in SQL, Python, data modelling and AI development, and drive ...

will guide a team of 7 engineers responsible for powering our high‐performance GPU infrastructure, multi‐cloud setup (with GCP as our primary provider), ML model training pipelines, and containerised orchestration environments. This role balances technical leadership, team management, cloud resource optimisation, and high‐level architectural oversight. You will ensure … Reliability Engineering, Infrastructure-as-Code (IaC), continuous integration, and incident post-mortems. Cross-Functional Alignment: Act as the primary technical bridge between infrastructure, ML researchers, AI application developers, and the VP of Engineering. 2. Resource Management & FinOps (25%) GPU & Multi-Cloud Management: Manage high-density GPU clusters across a multi ...

Celestica Inc. is seeking a Senior AI Engineer with 11+ years of experience in Information Technology focused on AI/ML development. This remote position demands excellent communication skills and proficiency in Python, along with familiarity with MLOps tools. The ideal candidate will be involved in defining technical requirements ...

room shopping funnel, including inventory presentation, pricing clarity, and booking confidence.Demonstrate familiarity with AI-driven systems, tools, or workflows and applying AI/ML concepts to real world products, safely integrating and operating AI/ML enabled solutions that improve customer and business outcomes in the room shopping domain.Minimum Qualifications … stakeholders) to deliver roadmap outcomes within a defined product area, service, or journey.Familiarity with AI-driven systems, tools, or workflows and applying AI/ML concepts to real world products in support of better recommendations, relevance, or personalization.Preferred Qualifications:Master’s degree in a relevant field or equivalent experience building ...

hiring a Senior Dev/MLOps Engineer to join their Data & Compute Platform team in London. This role involves managing the lifecycle of ML models and infrastructure, building CI/CD pipelines, ensuring system reliability and security, and collaborating with cross-functional teams. Candidates should have strong Python skills ...

room shopping funnel, including inventory presentation, pricing clarity, and booking confidence. Demonstrate familiarity with AI‐driven systems, tools, or workflows and applying AI/ML concepts to real world products, safely integrating and operating AI/ML enabled solutions that improve customer and business outcomes in the room shopping domain. … deliver roadmap outcomes within a defined product area, service, or journey. Familiarity with AI‐driven systems, tools, or workflows and applying AI/ML concepts to real world products in support of better recommendations, relevance, or personalization. Preferred Qualifications Master’s degree in a relevant field or equivalent experience building ...

based AI frameworks including RAG and orchestration patterns Strong experience working with vector databases and AI‐specific data stores Solid understanding of AI and ML models, LLMs and generative AI architectures Experience implementing governance frameworks for model selection, deployment and lifecycle management Hands‐on experience with AI‐assisted development tools … Strong knowledge of cloud AI and ML platforms and associated architecture patterns Experience designing and managing APIs including REST and GraphQL Strong understanding of microservices and serverless architectures Practical experience with DevOps and MLOps practices including CI/CD pipelines Knowledge of security frameworks, identity management and authentication standards Desirable ...

dedicated to delivering cutting‐edge digital solutions to clients around the globe. Our areas of expertise include cybersecurity services , custom website development , AI/ML-based tools , UI/UX design , and comprehensive digital marketing strategies . With a strong focus on innovation and client satisfaction, we work closely with … Individuals looking to strengthen their real-world portfolio and resume Learners with strong fundamentals and curiosity to work on cutting‐edge AI/ML projects How to Apply: Fill the form below. #J-18808-Ljbffr ...

Staff Data Scientist, at Dowty, a GE Aerospace company, you'll work individually and/or lead horizontal teams to develop AI/ML/advanced analytics solutions which bring demonstrable value to Dowty (a GE Aerospace business). You'll be able to quickly assimilate customer requirements and translate … will lead and support junior team members. You will work closely with Dowty functional leaders to identify and prioritise suitable, impactful AI/ML projects and actively support business specific FLIGHT DECK initiatives including Kaizens, VSMs and gembas. You will be constantly engaging with the customer to maintain project focus ...

agentic AI systems in production Strong Python skills and hands-on experience with LLM frameworks (LangGraph, LangChain, Haystack, or similar) Experience deploying AI/ML systems into production environments Familiarity with Docker, Git, and cloud platforms (AWS preferred) Understanding of secure deployment patterns - air-gapped, on-premises, or sovereign cloud … secure-by-design development principles (ISO 27001, NIST, OWASP) Experience in defence, national security, or similarly regulated environments Contributions to open-source AI/ML projects Soft Skills Delivery-focused - you ship working systems, not prototypes Comfortable operating across the stack when needed Strong communicator - can present to technical ...

duties, and audit readiness. Support responsible AI practices including human oversight, explainability, traceability, and appropriate use of AI-generated outputs; support AI/ML governance including model risk controls, data suitability checks, and bias and ethical considerations. Skills and Competencies Strong hands‐on expertise in Microsoft Purview: metadata management, classification … embedding controls into data platform delivery. Relevant certifications such as DAMA/CDMP, DCAM, privacy, cloud, AI governance, or equivalent. Experience with AI/ML and data science platform use cases with comprehensive technical governance. Equal Opportunity Employer At RES we celebrate difference. We encourage applicants from diverse backgrounds, ideas ...

team to turn breakthrough technology into a product and scale it.### **The Role**Three things, done well, every week:* **Turn models into decisions.** The ML team hands you probabilistic block-model outputs and drill planning optimisation options. The geologist hands you a client’s requirements. You shape the model into … compliant mineral resource estimates, or worked alongside Competent/Qualified Persons.* Are fluent in Leapfrog, Vulcan, Datamine, Micromine.* Can reason about what an ML model is doing under the hood. You’ll work closely with the ML development team.* Have worked across multiple deposit styles and commodities* Have opinions about ...

duties, and audit readiness. Support responsible AI practices including human oversight, explainability, traceability, and appropriate use of AI-generated outputs; support AI/ML governance including model risk controls, data suitability checks, and bias and ethical considerations. Skills and Competencies Strong hands‐on expertise in Microsoft Purview: metadata management, classification … embedding controls into data platform delivery. Relevant certifications such as DAMA/CDMP, DCAM, privacy, cloud, AI governance, or equivalent. Experience with AI/ML and data science platform use cases with comprehensive technical governance. Equal Opportunity Employer At RES we celebrate difference. We encourage applicants from diverse backgrounds, ideas ...

expansion of workflows. MINIMUM QUALIFICATIONS 5+ years in a hybrid technical + client-facing role (e.g., Solution Architect, Forward Deployed Engineer, AI/ML Systems Engineer, Technical Consultant). Experience deploying AI/ML workflows or intelligent applications (LLMs, RAG, forecasting, symbolic reasoning, etc.). Strong coding background in Python ...

data models that fit both operational systems (RDS) and analytics stores (columnar/OLAP), including performance and cost tuning. Ensure data products also power ML workflows: trusted training datasets, feature-ready outputs, and consistent definitions for decision‐making. Enable AI automation by delivering reliable, low‐latency, governed data products that … including governance and table maintenance. Experience with orchestration and streaming systems used in production (batch + real‐time), and managing backfills safely. Familiarity with ML data needs (training/serving splits, feature‐ready datasets, evaluation datasets) and AI‐adjacent workflows. Preferred Experience building self‐service data platforms (catalog, discoverability, access ...

Engineering, Mathematics, or equivalent practical experience. 6 years of experience in technical solution delivery and project management. 3 years of experience with AI/ML Infrastructure (e.g., GPUs, GKE, EKS, Kubernetes, Kubeflow). Experience using Bash. Preferred qualifications: Master's degree or PhD in Computer Science, Engineering or a related … field. Experience developing and tuning AI/ML models using frameworks such as JAX, PyTorch, or OpenXLA. Experience in one or more of the following areas: DevOps, Security, SRE. Experience in one or more of the following areas: Data Center Infrastructure, Networking, Compute, Storage. Customer-facing migration experience, including service ...

identify and mitigate risks in AI adoption, ensuring ethical and compliant implementation. Required Skills & Experience Deep experience architecting and scaling enterprise-grade AI/ML systems . Proven expertise with cloud AI ecosystems (AWS Bedrock, SageMaker, Azure OpenAI, Azure ML). Strong command of agent frameworks , vector databases ...

service risk, delivery channel risk, sanctions exposure, external exposures (e.g., adverse media, financial intelligence), control effectiveness, and emerging Money Laundering/Terrorist Financing (ML/TF) risks Preparing, reviewing, and enhancing technical documentation for risk models, process/procedure enhancements and data analytics Providing recommendations to strengthen model governance, calibration … supporting materials aligned with FATF standards and immediate outcomes Participating in analytical reviews of sectoral data, supervisory findings, remediation trends, external developments, and emerging ML/TF risks to inform model enhancements, supervisory planning, and management decision-making Managing, supporting, and developing staff or project resources assigned to risk analytics ...

massively distributed system our platform comprises, allowing us to move fast without sacrificing quality. About the Role We\'re looking for a Staff ML engineer to own optimisation across our platform. You\'ll be the domain authority on how we use data to make campaigns perform better — from how audiences … server, or comparable platform. You understand the mechanics of how campaigns are priced, paced, and optimised in practice. Strong applied ML and statistical foundations. You can design, evaluate, and iterate on models — and you know when a heuristic beats a neural network. Production ML experience. You\'ve built models that ...

experience. We are assembling a small, senior team of researchers and engineers obsessed with systems-first intelligence. Our current team consists of PhDs and ML engineers from top applied ML and coding agent companies, with a heritage of shipping systems at Spotify, ShareChat, and Sourcegraph scale. Our team has built ...

Software team at CoMind spans the full stack of a regulated medical device company — from embedded and real-time systems through application software, ML inference, GUI, DevOps, and test engineering. It is a team that builds across every layer, working to medical device software standards and shipping software that … data acquisition systems or real‐time signal processing pipelines Familiarity with optical or biomedical hardware integration Background in or exposure to data science or ML pipelines and the software interfaces that feed them Experience with CI/CD tooling, automated testing frameworks, and static analysis tools in an embedded context ...

you. Tune for performance: optimise networking (VLANs, firewalls, VPNs, and low‐latency/high‐bandwidth fabrics) and storage for the throughput and latency that ML and hardware workloads require. Own reliability and observability: implement monitoring, alerting, and capacity planning, and drive availability and performance across hybrid cloud and on‐prem … ability to diagnose and resolve complex, cross‐layer issues in a fast‐moving environment. A collaborative communicator who can work with hardware and ML engineers and explain infrastructure trade‐offs clearly. Bachelor's degree in computer science, a related field, or equivalent practical experience. Compensation & Equity Competitive Salary: Commensurate with ...

founders across the full stack: a Node/TypeScript backend API, a React frontend, a C#/WPF Windows desktop connector, and Python ML/RAG workers. The codebase is in production and serves paying customers. You'll own significant parts of it, drive the architecture of the entity-resolution … comfortable moving across them. Strong in at least one of (but comfortable reading the other): Node.js/TypeScript backend Python async/ML pipelines Experience designing and evolving APIs and async event-driven systems (queues, workers, content-addressed storage) The instinct to keep things simple under pressure Comfortable having high ...

effective AI adoption and usage. Contribute to the development of scalable prototypes and production-ready solutions. Ideal Candidate Hands-on experience with AI/ML tools (e.g. NLP, predictive modelling, process automation). Familiarity with cloud platforms (AWS, Azure, or GCP). Strong problem-solving and collaboration skills. Ability ...