3,351 to 3,375 of 5,439 Machine Learning Jobs in the UK

analytics products and services to internal and external stakeholders along the whole value chain by using statistical methods, for example, GLMs/GAMs/Machine Learning. Lead the creation and adoption of innovative analytical techniques, building tools and embedding them to strengthen data-driven decision making for Pricing purposes. … modelled. We create and articulate a compelling and ambitious shared purpose, vision and direction. We pave the way towards success and see failure as learning You are going to experience that we care & dare: We are empathetic. We know when to lead and know when to let others lead. ...

mentality, constantly looking for ways to turn a 1:1 solution into a 1-to-many asset.Nice-to-haves Technical degree (e.g., Computer Science, Machine Learning, etc.) Hands-on experience with n8n is a massive plusWhy join us? At n8n, you’ll help shape how Customer Success scales ...

effective, efficient, and coherent manner.You’re passionate about technology and innovation, and thoughtful about the drivers for regulatory transformation (online harms, competition, AI/Machine Learning) and the wider regulatory ecosystem in which our clients operate.We encourage an agile approach to working and we expect an individual ...

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 ...

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. ...

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 ...

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 ...

to enhance analytical capabilities and strengthen humanitarian outcomesPrimary Duties and Responsibilities:StrategySupport the Data & Visualisation team leader in delivering the EWAR AI/ML strategyAdvise on how AI/ML use-cases can be embedded into EWAR analytical processes in a proportionate, ethical, and context appropriate manner.Maintain a database … humanitarian scenario development, monitoring evaluation and learning processes, and in ad hoc analytical products.Where feasible, participate in designing, prototyping and evaluating AI/ML methodologies in EWAR.Critically evaluate and support the continued development of existing AI/ML tools and methodologies used within EWAR.Expertise and AdvisorySupport the team ...

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 ...

role within the algorithmic technical space at Dare. Working closely with a talented algorithmic andtechnical team to build a platform that delivers ML capabilities to ourLiquidity trading teams. These teams are responsible for delivering products for internal customers. Setting and delivering a consistent, scalable approach to machine learning … statistics, and algorithms, with the capability to write robust scalable Python code. A strong understanding of the mathematical and statistical fundamentals on which the ML methods are based. We want someone who understands the methods rather than just calling functions from existing ML packages. Experience with production data processing. That ...

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 ...

ambition is to be the most successful games company in the world, and we’re just getting started.The role is leading the Group data&ML teamThe team is a central function that works both with other central group functions like marketing and game solutions, and the game studios which … part of Tripledot. Within the team, you’ll be working with other AI/ML Eng, Data engineers, ML Ops, Data scientists, analysts and product owners. Role OverviewWe are looking for a practical, commercially-minded, results-oriented person to collaborate with studios and group functions and lead AI/ML ...

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 ...

closely withdevelopers, VFX artists, and AI teams to push the boundaries of synthetic media andenhance the performance of our proprietary tools.ResponsibilitiesTrain and fine-tune ML models to generate hyperrealistic synthetic media.Curate, manage, and optimise datasets to achieve high-quality, lifelike outputs.Diagnose and solve challenges using both in-house and open … software engineers, and product managers to translate project requirements into technical solutions.Continuously monitor and optimise model performance for efficiency and accuracy.Must HaveProven experience training ML models (GANs, Stable Diffusion, or similar).Familiarity with UNIX/Linux environments.Critical eye for facial likeness and visual quality.Excellent teamwork and communication skills.Strong problem-solving ...

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 ...