3,926 to 3,950 of 5,202 Machine Learning Jobs in the UK

Jobtailor is seeking a senior AI/ML specialist to develop NLP, LLM, and generative AI approaches for IP tasks. You will define agentic workflows, design retrieval systems with hybrid search, and analyse large IP datasets to improve model performance. You will translate results into actionable product recommendations, collaborate with ...

founding engineers to create impactful solutions at a rapidly growing AI firm. Successful candidates will have strong backgrounds in Python, LLMs, and AI/ML systems, ready to deeply engage with innovative technology in a fast-paced environment. #J-18808-Ljbffr ...

build DS into a core function at Fresha, not manage what already exists. Today the team is small but technically strong. We have production ML models in fraud detection, text moderation, and taxonomy classification, running on SageMaker with a dbt/Snowflake data stack. But we're operating reactively … make the function visible, understood, and sought out Partner with Product, Engineering, and Commercial teams to embed DS into decisions Delivery & Technical Leadership Ship ML products that drive measurable business impact – not just models, but outcomes Establish experimentation as a discipline: A/B testing infrastructure, causal inference, automated experimentation ...

leader in digital services, seeks a Senior AI Engineer within Workday Products to bridge data science and software engineering and productionize AI/ML solutions. You will work with data scientists, software engineers, and product teams to deliver robust AI features for Workday products. You will integrate AI models into ...

create visualizations to influence product decisions and investor insights. Responsibilities include designing data models, extracting from unstructured sources, and collaborating with Product and ML teams to deploy scalable solutions. #J-18808-Ljbffr ...

analytics within Content Product Analytics. The role emphasizes understanding user behavior, experimentation, and causal inference to inform product decisions. The successful candidate will design ML/NLP models, build scalable data pipelines, and mentor a team of scientists and engineers while collaborating with cross-functional partners to influence roadmaps ...

J.P. Morgan is seeking a Principal Software Engineer - Applied AI/ML Director to lead GenAI initiatives within the Accelerator Business. You will drive scalable AI solutions, mentor squads, and ensure governance and security across deployments. You will collaborate in tribes and squads, focusing on products that deliver real-world ...

Capgemini is seeking an AI Data Scientist to apply data science, ML, and graph analytics to autonomous network operations. You will work with telemetry, topology, and service data to build KPI models, anomaly detection, and predictive analytics. Ideal candidates have strong Python, statistics, and BigQuery skills, plus experience with telecom ...

within the Chief Information Security Office's GenAI portfolio to secure innovation at scale. Key responsibilities include staying up to date with AI/ML trends, producing technical docs, and implementing robust AI solutions with cloud and container technologies. #J-18808-Ljbffr ...

developing Scale’s global defense products, while being the primary technical expert to our global customers.The ideal candidate brings together a strong engineering or ML background, entrepreneurial drive, the eagerness to be a hands-on builder, and the ability to get in front of senior technical and government stakeholders … real technical understandingDesign and ship AI-powered products and tooling for defense and national security workflows, working side-by-side with engineering and ML teamsUse customer context to inform what you build — understand allied defense workflows deeply enough to make opinionated product decisions, not just relay requirementsNavigate the unique constraints ...

Proclinical Group is hiring a Senior MLOps & Data Engineer in Oxford. You will design scalable MLOps infrastructure, productionise ML workflows, and develop cloud-native data pipelines across AWS and GCP. The role focuses on turning research into reliable production systems with strong emphasis on observability, governance and collaboration with cross ...

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 … that move revenue or cost - and deprioritise the restMake the case for data science investment at the exec tableShip impact & build the technical foundationShip ML products that drive measurable business outcomes - not just modelsEstablish experimentation as a discipline: A/B testing, causal inference, automated experimentationBuild foundational data science infrastructure ...

enterprise support role.Experience in technical deployment planning, architecture orchestration, or technical delivery management.Experience with enterprise integrations (APIs, ECMs, identity), Cloud infrastructure, and AI/ML model deployments.Experience with programming languages, API integration, debugging, or enterprise systems design.Experience leading technical delivery strategies, debugging systems, and interfacing with product/engineering organizations.Preferred … qualifications:L300/L400 level technical proficiency or relevant AI/ML and Cloud architecture certifications.Experience guiding customers through the architectural and organizational transformations needed to deploy production-grade AI models or agents in enterprise environments.Technical experience in one or more of the following: Cloud AI solutions, Enterprise Data Management ...

design and build scalable backend infrastructure for an enterprise AI platform. You will work on processing large financial datasets securely and reliably, collaborating with ML engineers, infrastructure specialists and product teams in a fast-growing AI company. The role emphasizes ownership from design through production, high performance data pipelines ...

team members on best practices. Candidates should have extensive experience with cloud platforms like AWS, strong Python skills, and a passion for AI/ML concepts. The position promotes an inclusive work culture where diversity is celebrated. #J-18808-Ljbffr ...

React UI components. You will design cloud-native solutions on GCP, deploy with Kubernetes, and enhance vector search capabilities, collaborating with architects and ML engineers. This onsite role offers direct-hire benefits and opportunities to mentor peers while owning end-to-end technical solutions across the stack. #J-18808-Ljbffr ...

Science Ltd. is seeking a DevOps Engineer (Product) to design, provision and manage scalable cloud infrastructure and CI/CD processes for AI/ML workloads. You will work with engineers and data scientists to accelerate product delivery and ensure production-grade reliability. The role emphasizes MLOps, security governance ...

practicesDefine and monitor KPIs for system reliability, performance, and operational efficiencyAdvance automation, Infrastructure as Code approaches, and promote self-healing systems using AI/ML techniquesDevelop robust incident management frameworks and lead major incident response activities for critical systemsImplement blameless postmortems and deliver systemic improvements across production environmentsEstablish observability strategies … practicesDeep understanding of incident management processes, ITSM standards, and ITIL principlesKnowledge of resilience design patterns, high availability, and fault-tolerant architecturesFamiliarity with AI/ML-driven approaches for operational efficiency and system reliabilityAbility to lead transformation, influence across teams, and foster continuous improvement in cultureNice to haveExperience in financial services ...

solutions for financial services clients. You will design, implement and scale autonomous AI systems, working across multi‐modal models, enterprise data integrations, and production ML pipelines to deliver measurable business impact. You will collaborate with cross‐functional teams and client stakeholders to translate requirements #J-18808-Ljbffr ...

design training pipelines, maintain production services, and architect AI systems using large scale datasets. The ideal candidate has over 5 years of experience shipping ML models to production and expertise in NLP/LLMs. The position is fully remote, offering flexible hours, generous leave, and benefits including private healthcare ...

leverage cutting-edge innovation for impactful results and experience unparalleled support on your journey to success.Data ScientistThe Commodities tribe at Kpler runs production ML models that predict what cargo a vessel is carrying (Product Estimation) and where in-transit vessels are headed (Destination Forecast), and where they are expected … these models: designing and evaluating features from maritime AIS data, H3 geospatial routing distributions, transit statistics, and commodity-specific signals; running structured experiments on ML Flow based platform; and pushing the accuracy, coverage, and reliability of predictions forward.You are not handed a Jupyter notebook and a dataset. You work ...

experience and familiarity with AWS, Terraform, Packer, and Consul to support infrastructure and deployment workflows. You will contribute to energy-focused data initiatives and ML pipelines. #J-18808-Ljbffr ...

tuning pipelines. You will work across model serving, inference engines, GPUs, and observability to deliver low-latency endpoints and cost-efficient systems. Collaboration with ML engineers, data scientists, and platform teams across partners is key. #J-18808-Ljbffr ...

founders, backend and mobile engineers, and the operations team. Many of Aurora’s most important features live at the intersection of product judgment, ML systems, and agent orchestration - this role owns that intersection. This is a high‐ownership role. You will take ambiguous ideas, turn them into concrete systems, ship … balancing customer needs, technical constraints, and delivery speed Design and implement AI-powered workflows using LLMs, tools, and agentic systems Build and iterate on ML-driven features, including classification, ranking, extraction, and decision support Design agent flows that combine automation with human‐in‐the‐loop escalation Work closely with ...

will deliver reusable tooling, agentic prototypes, and secure, scalable patterns that speed up delivery across R&D teams. You will work with AI/ML concepts, CI/CD, infrastructure-as-code, and cross-functional engineers to reduce friction and drive production-ready software across domains. #J-18808-Ljbffr ...