1,351 to 1,375 of 6,476 Machine Learning Jobs in the UK

collaboration with senior technical customers and cross‐functional teams. The role is suited to a senior engineer with deep expertise in AI/ML security, modern software engineering, and secure‐by‐design approaches. You will champion secure architectures, embed DevSecOps practices, and help elevate engineering capability as the organisation adopts … looking for? Experience operating as a senior security engineer and leading engineering initiatives in a DevSecOps environment. Strong expertise securing AI and ML systems at scale, including model lifecycle security, data pipelines, and secure deployment. Strong hands‐on experience with machine learning stacks, such as PyTorch, TensorFlow, MLflow ...

other quantitative methods to support the Commercial and Investment Bank (CIB). The QTR Securities Services and Payments team applies cutting-edge AI/ML techniques to fundamentally transform the way we do business by enabling business revenue growth and efficiency within the CIB organization. Job Summary As an Associate … support the business in tackling their most technically complex business problems to optimize revenue and manage risks. This could range from developing AI/ML applications that make business-critical predictions such as client pricing, to handling vast data sets using the J.P.Morgan's Cloud capabilities or optimal hedging policies ...

collaboration with senior technical customers and cross-functional teams. The role is suited to a senior engineer with deep expertise in AI/ML security, modern software engineering, and secure-by-design approaches. You will champion secure architectures, embed DevSecOps practices, and help elevate engineering capability as the organisation adopts … looking for? Experience operating as a senior security engineer and leading engineering initiatives in a DevSecOps environment. Strong expertise securing AI and ML systems at scale, including model lifecycle security, data pipelines, and secure deployment. Strong hands‐on experience with machine learning stacks, such as PyTorch, TensorFlow, MLflow ...

Senior Data Scientist . The Senior Data Scientist is responsible for leading the design, development, validation, and production of advanced data science and machine learning solutions that improve decision-making across GXO’s global network. This is a full-time permanent position, offering remote working with occasional travel … building maintainable data science workflows, feature engineering pipelines, experimentation frameworks, and model evaluation code for production settings. Working knowledge of GCP-based data and ML environments, preferably including BigQuery, Vertex AI, and cloud workflows that support deployment, monitoring, and retraining We engineer faster, smarter, leaner supply chains. ...

access to data at large scale is key to tackle the hardest problems in AD/ADAS, from developing the Machine Learning (ML) models for perception and prediction of human driving patterns, to increasing the sophistication of our validation and simulation by identifying rare and interesting real-world … London team is a key building block for developing and testing modern AD/ADAS products that will impact millions of customers. Our ML and Data pipelines are built on-top of the open-source Flyte orchestration framework and are deployed to AWS. Pipeline code is written in Python. ...

expert in at least one hyperscaler cloud (such as AWS, Azure, or Google Cloud), you bring authoritative knowledge of that platform's AI/ML services, accelerators, networking, and cost levers, and apply it to deliver best-in-class solutions. Beyond design, you set technical direction and standards, lead … mentor engineers and architects, partner with clients and stakeholders to shape the infrastructure roadmap, and are ultimately accountable for delivering AI/ML infrastructure that meets business SLAs, controls cost, and scales to enterprise and frontier workloads. THE WORK Own the end-to-end architecture and design of optimized compute ...

within the Aerodynamics department. Reporting to the Lead AI Engineer, you will work on specialist projects that bridge aerodynamic engineering and AI — developing advanced machine learning models, surrogate models, and automated geometry tools that give Williams Racing a competitive edge in vehicle development. This is a technically demanding … aerodynamic applications. Identify AI-driven opportunities to improve aerodynamic development efficiency within cost cap requirements. Qualifications Proven experience developing and deploying AI/ML models, particularly for scientific or engineering applications. Strong proficiency in Python with the PyTorch framework. Understanding of computational geometry principles and familiarity with mesh generation algorithms. ...

provide our customers with the information they need to make proper decisions and enable their digital transformation. You will help find the appropriate machine learning algorithms to answer those questions and implement those on the C3 AI Platform so they can run at scale. Qualified candidates will have … agentic solutions, regression and classification, supervised, and unsupervised learning). Strong mathematical background (linear algebra, calculus, probability and statistics).Experience with scalable ML (MapReduce, streaming).Ability to drive a project and work both independently and in a team. Smart, motivated, can do attitude, and seeks to make a difference. ...

infrastructure expert in at least onehyperscalercloud (such as AWS, Azure, or Google Cloud), you bring authoritative knowledge of that platform's AI/ML services, accelerators, networking, and cost levers, and apply it to deliver best-in-class solutions. Beyond design, you set technical direction and standards, lead and mentor … engineers and architects, partner with clients and stakeholders to shape the infrastructureroadmap, andare ultimately accountable for delivering AI/ML infrastructure that meets business SLAs, controls cost, and scales to enterprise and frontier workloads. THE WORK Own the end-to-end architecture and design of optimized compute infrastructure for large ...

discovery actually usable at scale. What You’ll Do Run and scale Kubernetes (incl. GPU workloads) Own cloud infrastructure and infra-as-code Support ML training & inference pipelines Manage CI/CD, observability, and deployments Handle databases, storage, and migrations Build automation (Python/Bash) Work closely with ML, backend … Looking For 4+ years in platform/DevOps/infra Strong Kubernetes, Docker, cloud (AWS/GCP/Azure) GPU workloads/ML infra Experience designing & operating multi-tenant architectures with strict tenant isolation Familiarity with autoscaling & service isolation Experience with CI/CD, databases, infra-as-code Comfortable debugging ...

Worldwide Field Operations (WWFO) team is looking for a Solution Architect with expertise in Generative AI, Data Science applications and Machine Learning (ML) to work with our Hyperscaler partners. In our Solutions Architecture team, we work with the most exciting platform for accelerated computing and drive the latest … Electrical/Computer Engineering, Physics, Mathematics, other Engineering fields A proven track record of academic and/or industry experience in fields related to machine learning, deep learning and/or data science You are excited to work with multiple levels and teams across organizations (Engineering, Product ...

match the full criteria, so if you have most of the below, we’d like to hear from you: Significant experience applying data science, machine learning, statistical modelling or advanced analytics to complex real‐world datasets. Strong applied statistical expertise, including the ability to quantify risk and uncertainty … epidemiology, operational research, or cyber risk. Familiarity with UK data protection, research governance or health data access expectations. Experience with PETs or privacy‐preserving ML frameworks such as Flower, Opacus, TensorFlow Federated or similar. Cloud platforms, containerisation, CI/CD, MLOps or production ML systems. Experience evaluating synthetic data using ...

Image Analysis team in Cambridge. This role is for a scientific and technical leader with expertise in digital pathology, computational image analysis, AI/ML, and tissue-based oncology biomarkers. The successful candidate will develop and support scalable workflows for whole-slide pathology and multiplexed tissue imaging data. The position … Basel. Job DescriptionKey ResponsibilitiesDigital Pathology and Imaging StrategyDevelop and deploy scalable workflows for pathology whole-slide image acquisition, processing, analysis, and interpretationApply AI/ML and quantitative image analysis to address biological, translational, and biomarker questions in human and preclinical samplesProvide expertise in digital pathology, spatial analytics, and AI-enabled ...

performance, and managing risks throughout the project. The Amazon Web Services Professional Services (ProServe) team is seeking a Delivery Consultant specialising in AI/ML and generative AI to join our Data & AI practice. In this role, you will work with enterprise customers to design, build, and deploy AI solutions … delivery role. You will contribute across the lifecycle—from discovery and technical scoping through implementation, evaluation, deployment, and handover. The work may include predictive ML, generative AI applications, retrieval and knowledge systems, intelligent automation, and agentic workflows. You will work across customers with different industries, data estates, regulatory requirements ...

apply your skills and passion for technology at Thomson Reuters Labs. We are seeking a Research Engineer who will bring expertise in AI and ML and is interested in building data-driven capabilities that transform the way legal, accounting, and government professionals work across the globe. As a member … modern software development practices, you will be involved in the entire software development lifecycle, designing, building, testing and delivering high-quality solutions. Build Scalable ML Solutions:You will create large scale data processing pipelines to help researchers build and train novel machine learning algorithms. You willdevelophigh performing scalablesystems ...

engineers to be working in a fast-paced and research-facing environment within a small team. You will contribute significantly to a world-class ML-based software platform set to transform the bio-pharmaceutical world. We need creative thinkers ready to redefine how drugs are designed with the power … AI. Working in a highly creative, iterative environment, you will be partnering with leading engineers, scientists and ML researchers to build the critical platform driving that transformation. This is a newly created role and you will need to use your previous experience and show initiative in order to fully carve ...

architecture. We are seeking a Senior Developer who is comfortable navigating this hybrid landscape - someone eager to blend existing knowledge with emerging AI and machine learning tools to build the future of our data infrastructure. Technical Expertise Languages: Strong proficiency in SQL and Python. Data Platform: Hands … Managed Instance. Knowledge of Azure Event Hubs or Active Batch. A keen interest in applying Artificial Intelligence (AI) and Machine Learning (ML) to real-world data problems. TPBN1_UKTJ ...

financial problems Implement guardrails, validation frameworks, and monitoring systems for AI applications Data Engineering & Integration Design and build data pipelines to support AI/ML workflows, integrating market data, trade data, and research content Develop ETL processes for preparing training data and maintaining knowledge bases Create APIs and microservices … governance requirements Stay current with emerging AI technologies and evaluate their applicability to Global Rates business needs Contribute to the firm's AI/ML community of practice and knowledge sharing initiatives Professional Experience Professional experience in AI/ML engineering, software development, or data science roles Demonstrated experience building ...

architecture. We are seeking a Senior Developer who is comfortable navigating this hybrid landscape - someone eager to blend existing knowledge with emerging AI and machine learning tools to build the future of our data infrastructure. Technical Expertise Languages: Strong proficiency in SQL and Python. Data Platform: Hands … Managed Instance. Knowledge of Azure Event Hubs or Active Batch. A keen interest in applying Artificial Intelligence (AI) and Machine Learning (ML) to real-world data problems. ...

experience building and deploying machine learning or AI systems in a production environment. Proficiency in Python and experience with relevant AI/ML frameworks such as PyTorch, TensorFlow, or JAX. A strong foundation in machine learning principles, deep learning architectures, and natural language processing, particularly … testing through Galleri Competitive pension scheme and company contribution Annual work-life stipends for: Wellness stipend for gym, massage/chiropractor, personal training, etc. Learning and development stipend Company-wide off-sites and team off-sites Competitive compensation and company stock options #J-18808-Ljbffr ...

Data Science, based in any of our Brussels (Belgium), Slough (UK) or Raleigh (US).About the roleYou will help shape how advanced AI, machine learning, and computational methods support clinical development. You will design, validate, and deploy models that help teams make evidence-based decisions in areas such … guidance. You understand supervised, unsupervised, Bayesian, and deep learning methods, and can apply them to real-world scientific questions. You have experience with ML infrastructure, reproducible research, Linux or HPC environments, and software or platform development. You communicate clearly with scientific, technical, medical, and business partners, and enjoy working ...

recommendations, digital experiences, communications. And we aim to achieve this using our incredible data asset, our rich customer understanding, and state of the art machine learning and AI. This role will work in a team dedicated to personalising customer experiences within the Nectar loyalty programme and optimising large … environment. Solid understanding of working with production codebases, such as version control, CI/CD, and batch processing. Practical experience working on cloud-based ML platforms. Development and coaching A strong awareness and understanding of technology trends and direction in Data Science, analytics and AI. Ability to support ...

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 ...

Research, Cambridge, MA. This role combines hands-on delivery of robust image analysis workflows with advanced AI method development, including biomedical image segmentation, representation learning, foundation models, and scalable deployment. The successful candidate will embed within the research community as the team's scientific lead for imaging-AI, partnering … Curious Mindset, Data Governance, Data Literacy, Data Quality, Data Science, Data Visualization, Deep Learning, Graph Algorithms, Learning Agility, Machine Learning (ML), Machine Learning Algorithms, Python (Programming Language), Stakeholder Engagement, Statistical Analysis, Time Series AnalysisSummaryLocation: Cambridge (USA)Type: Full time ...

Scam Prevention TeamThe Scam Prevention team is on the front lines, dedicated to safeguarding our platform against sophisticated financial crime. We leverage cutting-edge machine learning, real-time transaction monitoring, and advanced data analysis to create robust controls and detection capabilities. Our vision is to build a globally … concepts across teams (Product, Data Science, Investigations).Nice to Have:\* Familiarity with the machine learning lifecycle (data pipelines, feature engineering, and deploying ML systems into production).Interested? Find out more:\* [How we work – a practical guide](https://wise.jobs/how-we-work)\* [DEI @ Wise](https:/ ...