3,151 to 3,175 of 7,725 Machine Learning Jobs in the UK

Voleon is a technology company that applies state-of-the-art AI and machine learning techniques … real-world problems in finance. For nearly two decades, we have led our industry and worked at the frontier of applying AI/ML to investment management. We have become a multibillion‐dollar asset manager, and we have ambitious goals for the future. Your colleagues will include internationally recognized experts ...

continued investment in digital transformation, automation and data-driven decision-making. The business operates across multiple markets and is increasingly focused on using AI, machine learning and modern data platforms to improve productivity, enhance operational performance and support future growth. This is a high-impact leadership opportunity within … challenge the status quo.Experience building, developing and inspiring high-performing technical teams.A technical background across areas such as data science, AI, data platforms, pipelines, ML engineering or data architecture.Ideally, experience in financial services, payments, fintech, commercial operations, SaaS or another data-rich, innovative environment.AWS platform knowledge would be beneficial.What ...

continued investment in digital transformation, automation and data-driven decision-making. The business operates across multiple markets and is increasingly focused on using AI, machine learning and modern data platforms to improve productivity, enhance operational performance and support future growth. This is a high-impact leadership opportunity within … status quo. Experience building, developing and inspiring high-performing technical teams. A technical background across areas such as data science, AI, data platforms, pipelines, ML engineering or data architecture. Ideally, experience in financial services, payments, fintech, commercial operations, SaaS or another data-rich, innovative environment. AWS platform knowledge would ...

throttling system end to end, covering roadmap, modelling strategy, release planning, measurement and production performance.Lead and develop a team of four data scientists and ML engineers, setting priorities and maintaining high technical standards.Own the full product lifecycle for AI products, from opportunity identification through launch, monitoring and iteration.Partner with commercial … machine learning or applied AI, ideally including production systems at significant scale in an adtech environment.A track record of owning AI/ML products end to end, from initial idea through production release and measured business impactExperience leading, coaching or managing data scientists, ML engineers or closely related ...

Spring Boot microservices with REST/gRPC APIs· Working with Kafka and event-driven architectures· Building pipelines using Apache Flink and Apache Beam· Integrating ML models and feature stores· Working with NoSQL databases and Redis caching· Using Apache Camel for integration where required· Collaborating with product, data science, and analytics … Beam· Experience with Kafka· Familiarity with Apache Camel· Experience with NoSQL databases (Cassandra, DynamoDB) and Redis· Cloud experience (GCP or AWS)· Docker and Kubernetes· ML model serving or feature stores· A/B testing platforms· Terraform or infrastructure as code· Performance and scalability optimisationAbout us: You might know ...

Voleon is a technology company that applies state-of-the-art AI and machine learning techniques … real-world problems in finance. For nearly two decades, we have led our industry and worked at the frontier of applying AI/ML to investment management. We have become a multibillion-dollar asset manager, and we have ambitious goals for the future.Your colleagues will include internationally recognized experts ...

system end to end, covering roadmap, modelling strategy, release planning, measurement and production performance. Lead and develop a team of four data scientists and ML engineers, setting priorities and maintaining high technical standards. Own the full product lifecycle for AI products, from opportunity identification through launch, monitoring and iteration. Partner … learning or applied AI, ideally including production systems at significant scale in an adtech environment. A track record of owning AI/ML products end to end, from initial idea through production release and measured business impactExperience leading, coaching or managing data scientists, ML engineers or closely related ...

business value while at the same time minimizing cost of ownership of our technology estate. Responsibilities and Impact Define and lead the AI/ML and applied data science roadmap for Enterprise Solutions, shaping high-rigor analytical capabilities across a complex, regulated global financial-services environment. Design, build, and operate … degrade or fail in production. Partner closely with engineering, data platform, product, and business teams to translate complex analytical problems into scalable, production-ready ML systems that deliver measurable operational and business outcomes. Act as a hands‐on technical authority and multiplier, reviewing models, guiding senior practitioners, improving data quality ...

Voleon is a technology company that applies state-of-the-art AI and machine learning techniques … real-world problems in finance. For nearly two decades, we have led our industry and worked at the frontier of applying AI/ML to investment management. We have become a multibillion-dollar asset manager, and we have ambitious goals for the future.Your colleagues will include internationally recognized experts ...

focus on linear algebra, vector spaces, metric spaces, and multi-dimensional decision frameworks. Co-author and review peer-reviewed research papers targeting top AI, ML, and fairness venues. Advise on statistical and probabilistic modelling approaches — including drift detection, composite scoring, and distributional analysis across large interaction datasets. Review and validate … engineering team. Desirable/Nice to Have A PhD in a relevant discipline, or an active research profile with peer-reviewed publications in AI, ML, or mathematics. Background in knowledge graph embeddings, geometric deep learning, or representation learning. Familiarity with multi-criteria decision analysis (MCDA) or social choice theory. ...

role, you will work with extensive datasets develop models that determine odds and power in-play betting decisions while leveraging state-of-the-art machine learning techniques to analyse and interpret complex sports data. Our fast-paced, delivery-focused environment offers significant opportunities for technical growth and innovation. … related quantitative field. Proven success in leading the design, development, and deployment of sophisticated predictive models. Expertise in Python/R and ML frameworks, such as scikit-learn, TensorFlow, or PyTorch, Proven ability to design and implement complex machine learning solutions and guiding best practice. Deep understanding ...

role, you will work with extensive datasets develop models that determine odds and power in-play betting decisions while leveraging state-of-the-art machine learning techniques to analyse and interpret complex sports data. Our fast-paced, delivery-focused environment offers significant opportunities for technical growth and innovation. … related quantitative field. Proven success in leading the design, development, and deployment of sophisticated predictive models. Expertise in Python/R and ML frameworks, such as scikit-learn, TensorFlow, or PyTorch, Proven ability to design and implement complex machine learning solutions and guiding best practice. Deep understanding ...

maximize business value while at the same time minimizing cost of ownership of our technology estate.Responsibilities and Impact:Define and lead the AI/ML and applied data science roadmap for Enterprise Solutions, shaping high-rigor analytical capabilities across a complex, regulated global financial-services environment.Design, build, and operate production … models degrade or fail in production.Partner closely with engineering, data platform, product, and business teams to translate complex analytical problems into scalable, production-ready ML systems that deliver measurable operational and business outcomes.Act as a hands-on technical authority and multiplier, reviewing models, guiding senior practitioners, improving data quality ...

business value while at the same time minimizing cost of ownership of our technology estate. Responsibilities and Impact: Define and lead the AI/ML and applied data science roadmap for Enterprise Solutions, shaping high-rigor analytical capabilities across a complex, regulated global financial-services environment. Design, build, and operate … degrade or fail in production. Partner closely with engineering, data platform, product, and business teams to translate complex analytical problems into scalable, production-ready ML systems that deliver measurable operational and business outcomes. Act as a hands-on technical authority and multiplier, reviewing models, guiding senior practitioners, improving data quality ...

clusters and distributed training environments, deploy AI systems and models into production, and build and optimize data pipelines that feed AI and ML workflows. You optimize the computational stack for performance, cost, power, and scalability, monitor AI systems and infrastructure health across both InfraOps and MLOps disciplines, perform AI monitoring … Degree in Computer Science, Computer Engineering, related Engineering field BASIC (REQUIRED) QUALIFICATION Practical experience in coding, building, monitoring, troubleshooting applications of AI/ML models; selecting, designing and infrastructure for deploying and running them on premise or on public cloud. Strong understanding of AI and machine learning ...

clusters and distributed training environments, deploy AI systems and models into production, and build and optimize data pipelines that feed AI and ML workflows. Youoptimizethe computational stack for performance, cost, power, and scalability,monitorAI systems and infrastructure health across bothInfraOpsandMLOpsdisciplines, perform AI monitoring to track model and system performance … infrastructure. EDUCATION Bachelor's Degree in ComputerScience, ComputerEngineering, related Engineering field BASIC (REQUIRED) QUALIFICATION Practical experience in coding, building, monitoring,troubleshooting applicationsof AI/ML models; selecting, designing and infrastructurefor deployingand running themon premiseor on public cloud. Strong understanding of AI and machine learning as a subject. Strong ...

language understanding/processing, computer vision, LLMs, machine learning, algorithmic foundations of optimization, data mining, machine intelligence (Artificial Intelligence), AI/ML algorithms, deep learning or image processing, multimodal, multilingual and reinforcement learning. Experience with research from previous internships, full-time industry experience, personal projects … extend and improve on Google's product offering. Contribute to a wide variety of projects utilising natural language processing, artificial intelligence, data compression, machine learning, and search technologies. Please complete your application before 23rd October 2026. We encourage you to apply as early as possible as we review ...

existing team of Quantitative Researchers.Conduct research into alpha opportunities, pricing improvements, hedging effectiveness and execution performance across CMC's product set.Research, develop and deploy machine learning and AI models to improve pricing, forecasting, risk management and trading decision-making across the business.Partner with developers and trading stakeholders … financial and time-series data, including feature engineering, model selection, validation and performance monitoring.Strong skills in Python, SQL and time-series analysis.Experience using Python ML libraries such as scikit-learn, XGBoost, PyTorch or TensorFlow.Experience analysing high-volume or high-frequency time-series data and building reliable research workflows.Ability to design ...

insurance. Excited to make an impact? Here are the details You’ll be joining our Pricing and Underwriting domain to bridge the gap between machine learning/data science and engineering. You will help build, publish, and maintain our complex data products and pipelines — key elements with … Code (IaC) Nice-to-Have Hands-on experience with: Data Quality Data Governance techniques Knowledge of: MLOps Feature Engineering Exposure to data analysis and ML tools such as: scikit-learn pandas NumPy XGBoost LightGBM Familiarity with orchestration tools: Apache Oozie Apache Airflow Why you’ll love it here We want ...

workflows Strong collaboration skills and ability to work cross‐functionally in fast‐paced environments Preferred PhD with published research in systems optimization, distributed computing, ML systems, or performance modeling Experience with GPU workloads, distributed training, or AI infrastructure Familiarity with Kubernetes, containerized workloads, or cloud‐native systems Experience deploying reinforcement … learning or adaptive scheduling systems in production Background in capacity planning, forecasting, or resource allocation modeling Contributions to open‐source ML or systems projects Wondering if you’re a good fit? We believe in investing in our people, and value candidates who can bring their own diversified experiences ...

computational biology strategy, aligning it with broader R&D and business goals Build, mentor, and grow a team of computational biologists, bioinformaticians, and ML scientists Partner closely with wet-lab biology, chemistry, clinical, and data engineering teams to embed computational thinking across the pipeline Drive the design and application … that directly influenced experimental or clinical decisions Deep fluency in at least one core area (e.g. genomics, proteomics, single-cell analysis, structural biology, or ML/AI applied to biology), with working knowledge across others Proven ability to build and scale teams, including hiring, mentoring, and setting technical direction Comfort ...

backbone of DraftKings' machine learning capabilities. You'll design, scale, and operate the Databricks and cloud infrastructure that powers automated, reproducible ML workflows across our business. This role blends platform ownership with deep infrastructure engineering - working shoulder to shoulder with Data Science, ML Engineering, and Infrastructure teams … Build and manage cloud infrastructure using AWS and infrastructure-as-code tools like Terraform Architect and document scalable systems that support reproducible and automated ML workflows Collaborate with Data Scientists, Data Engineers, ML Engineers, and Infra partners to align platform features with business needs Lead complex engineering projects from design ...

machine learning or equivalent practical experience. Experience with training generative models (Large Language Model (LLM), image, video). Experience of TensorFlow or ML frameworks (e.g. JAX or PyTorch). Experience conducting research. Publication record in AI conferences (e.g., NeurIPS, CVPR, ICCV, ICLR). Preferred qualifications: Experience with large … prototyping implementations to designing new architectures, our research scientists work on real-world problems that span the breadth of computer science, such as machine (and deep) learning, data mining, natural language processing, hardware and software performance analysis, improving compilers for mobile platforms, as well as core search ...

Applied Artificial Intelligence and Machine Learning (Applied AI/ML) team within Infrastructure Platforms is transforming how the firm delivers strategic infrastructure platforms-based solutions—both by applying AI/ML within engineering workflows and by building scalable AI hosting platforms and capabilities for enterprise use. … Applied ML and Generative Lead within J.P.Morgan, you will operate as a hands-on engineering leader responsible for designing, building, and running production-grade ML and Generative AI services, while setting technical direction that scales across multiple workstreams. You will remain close to the code and architecture decisions, establish delivery ...

Expert – Expert in building and evaluating Generative AI solutions and Large Language Models (LLMs) for various use cases. Experience in developing and implementing machine learning models, including predictive, forecasting, classification, and deep learning models. CX Data Experience - Hands‐on experience in customer behaviour analytics, marketing, commercial … Experience leading cross‐functional teams to understand business challenges and create valuables products/solutions, including planning, execution, and successful delivery of AI/ML POCs, MVPs and production grade solutions. Commercial Acumen - Commercial experience including responding to RFP/RFIs, drafting SOWs, costing up engagements and client negotiation. Experience ...