2,301 to 2,325 of 3,270 Machine Learning Jobs in the UK

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 ...

cross-functional teams to study user behavior, run A/B experiments, and solve problems using statistics and causal inference techniques. Responsibilities include building ML/NLP models at production scale, designing end-to-end data pipelines, and mentoring data scientists and engineers. #J-18808-Ljbffr ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

monitoring. Collaboration : Partner with data scientists, quants, and infra teams to align MLOps capabilities with business needs. Mentorship : Coach engineers on best practices for ML lifecycle management and secure deployment. Required Skills Strong Python engineering background. Deep experience with SageMaker , Databricks , MLflow , and CI/CD for ML. Proven track … record in operationalizing ML models at scale . Knowledge of model governance , compliance, and risk management. Familiarity with feature stores , model registries , and observability tools (Langfuse, Observe). Preferred Tech Kubernetes (EKS/on-prem), Airflow, Step Functions for orchestration. Databricks for data engineering and ML pipelines. MLflow for experiment ...

focused six-month engagement to set the architecture that turns a firehose of scientific literature and robotic lab data into a clean, governed, ML-ready ecosystem that our scientists and AI models can build on. You'll define the blueprint and stand up the foundations during the engagement, working closely … with our ML and data engineering teams so they can carry it forward. We're looking for someone senior enough to make the right calls quickly and pragmatic enough to deliver real systems in the time allocated. Scope of the Engagement Over six months you'll own how data flows ...

love to hear from you if you have experience in one or more of: Exploit development Malware analysis Secure software development Vulnerability research ML model development Vulnerability research tools and frameworks OS/networks/system architecture Reverse engineering Nice to have Experience researching AI, ML, or LLM security risks ...

Americas Hivemind business Required qualifications: 10–15+ years of experience in business development, sales, or capture roles in technically complex domains (AI/ML, autonomy, SaaS, aerospace/defence, or similar) Proven track record of owning and closing deals, particularly within European government or defence markets Deep understanding of defence … Self‐motivated, results‐oriented, and capable of operating in a fast‐paced environment Bachelor’s degree required Preferred qualifications: Experience selling autonomy, AI/ML, or unmanned systems (UAS) solutions Prior military experience a plus Established relationships within defense, government, or aerospace customer sets Experience working with Large Systems Integrators ...

communicator and stakeholder manager, comfortable influencing senior technical and business leaders without direct authority. Familiarity with AI‐driven tools or workflows, applying AI/ML concepts to improve configuration data quality, incident response, or change management outcomes. Preferred Qualifications Experience operating an enterprise‐scale xMDB/AMDB supporting complex, distributed … xMDB data and analytics to drive decisions related to service health, risk management, change impact, and operational resilience, including leveraging AI/ML‐enabled insights where appropriate. Experience leading xMDB‐related design reviews and making low‐level design decisions for APIs, data models, integrations, and workflows used across multiple domains ...

data science, or insight teams. Strong ability to translate complex data into clear business recommendations. Experience delivering analytical solutions, including predictive modelling, automation, or machine learning. Confident working with senior stakeholders and influencing data-driven decision making. Understanding of data governance, responsible AI, and analytical best practice. Experience with ...