1,776 to 1,800 of 3,290 Machine Learning Jobs in the UK

Purpose: you can use your passion and abilities at Leidos to keep the people you care about safe. We are at the forefront of machine learning, AI, cyber security and solutions. Using your skills in the technology frontline by helping to build a safer world. You can inspire ...

evaluate, manage, and route content reliably at global scale. We’re seeking a Staff Machine Learning Engineer to build and scale foundational ML systems that power content understanding across Spotify. In this role, you’ll work on systems that generate deep, machine-readable understanding of content across … across large datasets Who You Are You have experience building and deploying machine learning systems in production You are comfortable working with ML frameworks such as PyTorch, TensorFlow, or similar You have experience working with large datasets and care about data quality and evaluation You are interested ...

products. As part of the wider PDT leadership team, you’ll influence roadmap decisions, shape investment priorities, and act as the senior voice for ML and AI across the Cards business. Key Responsibilities Define the vision and direction for machine learning and AI across the Cards business, identifying … opportunities to improve customer experience and commercial performance Lead the performance and evolution of core ML systems including recommendations, ranking, search and personalisation Own model quality and lifecycle management, including evaluation, monitoring, retraining and long-term maintainability Drive the development of AI-powered product features, including LLM-based and generative ...

Kainos is seeking a Lead Data Scientist for its Workday Products division in the UK. You will design and deliver advanced AI/ML solutions to enhance Workday offerings, focusing on scalability, efficiency, and innovation. You will mentor the team, engage with customers, and provide strategic technical leadership across projects. … Ideal candidates have 8+ years of experience (or PhD with 4–5 years) and strong Python, ML frameworks, and cloud/MLOps expertise. #J-18808-Ljbffr ...

Envitia is seeking an AI Engineer to join our UK AI team. You will design, build and deploy scalable, responsible AI and ML solutions for public sector clients, turning complex data into trusted insights and decision-support tools. This hands-on role spans ML, NLP, predictive analytics and Generative ...

join our GTM Applied AI team on a 12-month fixed-term contract in London. You will develop, deploy, and maintain AI/ML models that improve our go-to-market efficiency and pricing strategies, collaborating with pricing, monetization, engineering, data analytics and ML engineers to deliver scalable solutions. ...

flagship products. You will design proprietary AI tools, execute high-impact Proof of Concepts (POCs), and architect data structures for scalable AI/ML systems. The role requires 6-8+ years in AI/ML design, strong Python skills, and experience deploying AI on AWS. You will drive semantic ...

JPMorgan Chase & Co. is seeking an Applied AI ML Lead to design and deliver production-grade AI/ML solutions for the LLM Suite platform. This role requires hands-on engineering, architecture ownership, and collaboration with engineering teams to implement secure and high-quality software. Ideal candidates should have ...

PhysicsX Ltd. is recruiting for multiple levels in the ML/DS research space. You will work with ML and simulation engineers and customers to translate physics problems into data-driven solutions, build predictive models, and mentor junior staff. The role offers a hybrid work model from our Shoreditch office ...

compute environments Benchmark system performance, diagnose bottlenecks, and implement improvements across both training and inference infrastructure Build monitoring, alerting, and observability solutions tailored to ML workloads running on Kubernetes and Slurm Respond swiftly to system outages and collaborate across teams to maintain high uptime for critical training runs and inference … with Slurm job scheduling, resource management, and cluster configuration Python and C++ programming with focus on systems and infrastructure automation Hands-on experience with ML frameworks such as PyTorch in distributed training contexts Strong understanding of networking, storage, and compute resource management for ML workloads Experience developing APIs and managing ...

telecoms industry, is looking to hire a Senior Devops/Infrastructure Engineer to join their growing team. You will work closely with Backend and ML/AI engineers to deploy and maintain dev/staging environments, work on ML/AI pipelines, and deploy ML models. Also, you will design ...

Technical Lead, Machine Learning, you own the execution layer of A1’s intelligence. You translate research direction into reliable, scalable, production-grade ML systems. This role sits at the intersection of research, infrastructure, and product. You are responsible for making models trainable, deployable, observable, and performant under real … world constraints. What You'll Do Own end-to-end ML system execution: data pipelines, training workflows, evaluation systems, inference architecture, and deployment. Fine-tune and adapt models using state-of-the-art methods such as LoRA, QLoRA, SFT, DPO, and distillation. Architect and operate scalable inference systems, balancing latency ...

Technical Lead, Machine Learning, you own the execution layer of A1’s intelligence. You translate research direction into reliable, scalable, production-grade ML systems. This role sits at the intersection of research, infrastructure, and product. You are responsible for making models trainable, deployable, observable, and performant under real … world constraints. What You'll Do Own end-to-end ML system execution: data pipelines, training workflows, evaluation systems, inference architecture, and deployment. Fine-tune and adapt models using state-of-the-art methods such as LoRA, QLoRA, SFT, DPO, and distillation. Architect and operate scalable inference systems, balancing latency ...

love digging through data, building models and explaining what the numbers really mean, solving problems and keeping moving things forward. Use stats, ML and code to find patterns in data and answer business questions. Python or R, SQL, Statistics, ML basics. Office or remote, mix of analysis and stakeholder work. … employers and clients consistently look for this mix when deciding who to hire and trust. Python or R SQL Statistics ML basics Data storytelling How long it takes to get started Realistically, most people get their first paid data scientist role within 2 – 5 years. It’s not a quick ...

love digging through data, building models and explaining what the numbers really mean, solving problems and keeping moving things forward. Use stats, ML and code to find patterns in data and answer business questions. Python or R, SQL, Statistics, ML basics. Office or remote, mix of analysis and stakeholder work. … employers and clients consistently look for this mix when deciding who to hire and trust. Python or R SQL Statistics ML basics Data storytelling How long it takes to get started Realistically, most people get their first paid data scientist role within 2 – 5 years. It’s not a quick ...

Solutions Architect within the AWS WWPS Partner team, you will shape and deliver strategy to build broad use of AWS services—including AI/ML, high-performance computing (HPC), advanced analytics, digital engineering, and manufacturing systems modernization—directly with our ecosystem of defence-sector systems integrators, consulting and technology partners. … technical strategy and architecture for defence-sector partners undergoing cloud adoption, modernization, and digital transformation Own end-to-end solution architecture spanning AI/ML, HPC, digital engineering, advanced manufacturing systems, and data platforms on AWS Operate as a trusted advisor at the executive level, translating business objectives into ...

will build personalised product recommendations, outfit suggestions, and AI Stylist conversational experiences to engage millions of customers. You will design, productionise, and optimise ML/GenAI systems, handling retrieval, ranking, and LLM components, while evaluating outputs for relevance and safety to drive product and commercial impact. #J-18808-Ljbffr ...

will partner with cross-functional teams to understand user behavior, design experiments, and apply causal inference to guide product decisions. You will develop ML models, build scalable data pipelines and dashboards, mentor teammates, and ensure responsible AI practices while influencing roadmaps through data storytelling. #J-18808-Ljbffr ...

monitor KPIs for system reliability, performance, and operational efficiency Advance automation, Infrastructure as Code approaches, and promote self-healing systems using AI/ML techniques Develop robust incident management frameworks and lead major incident response activities for critical systems Implement blameless postmortems and deliver systemic improvements across production environments Establish … incident management processes, ITSM standards, and ITIL principles Knowledge of resilience design patterns, high availability, and fault‐tolerant architectures Familiarity with AI/ML‐driven approaches for operational efficiency and system reliability Ability to lead transformation, influence across teams, and foster continuous improvement in culture Nice to have: Experience ...

Governance & Review (MRGR) team to build tools for analytics, cost optimization, and governance. You will work in Python and TypeScript, create data pipelines, integrate ML and AI-assisted development tools, and collaborate with cross-functional teams to improve controls and efficiency while maintaining secure coding practices. #J-18808-Ljbffr ...

leading technology products in a secure, scalable way. You will work on cloud-native data, backend engineering and AIML engineering, helping industrialize AI/ML models at production scale in a hands-on role. This position requires strong experience in system design, microservices, and collaboration with data scientists, with opportunities ...

align the data strategy with our Azure-based environment to support analytics and AI initiatives. You will collaborate with governance, security, and AI/ML teams, design data sharing patterns with external partners, implement MDM, and optimise performance and cost while ensuring GDPR compliance. #J-18808-Ljbffr ...

next-generation recommendation engines, conversational AI experiences, and personalization models for a large-scale digital platform. You will design, build and deploy production-grade ML models powering highly personalised customer experiences, including recommendation algorithms, retrieval systems and LLM-powered conversational AI. You will work closely with Product Managers, Engineers ...

continue to surprise and delight our customers. The Camera & Photos group focuses on perfecting our imaging pipelines using advanced computer vision, computational photography, and machine learning techniques. As a member of this group, you would have the unique opportunity to work on products that are used and enjoyed … implementing image processing and machine learning algorithms Experience training and working with generative models Strong coding skills - preferably in Python including ML-frameworks and libraries such as Pytorch Experience in productizing or publishing your research results in fields such as machine learning, image processing, and computer ...

Ireland, and Europe. We seek an architect to design a secure, scalable multi-cloud AI platform across Azure and AWS, integrating ML pipelines, model hosting, and observability. You will drive governance, safety controls and cost-aware decisions in collaboration with engineering and data science teams. The role offers hybrid working ...