451 to 475 of 5,425 Machine Learning Jobs in the UK

excited by technology that reaches patients directly and shapes how medicine is practised, this is where that work happens. The role As an ML Platform Engineer at Panakeia, you will sit at the critical junction of research, engineering and product delivery. You will be responsible for designing, implementing and maintaining … manipulation within training pipelines, and overseeing data quality and storage optimisation. Familiarity with deep learning frameworks (e.g., PyTorch). Architecting and building an ML platform and core ML infrastructure from the ground up, ideally in a biomedical, healthcare or scientific computing domain, including model selection for productisation Exceptional interpersonal ...

Would you thrive in a fast-scaling business, solving novel problems in collaborative teams? Are you interested in developing machine learning models for difficult green-field problems? If so, you could be the person we are searching for. We are an IoT innovator working to scale our product … developing technology that will change paradigms, contribute to a sustainable future, and improve lives. We are building Virtual Energy Infrastructure using our world-leading machine learning algorithms. We’re looking for a Machine Learning Research Engineer to work with us in our Data Science ...

Senior Machine Learning Engineer Proximie is on a mission to improve healthcare by transforming the world’s operating rooms into connected ecosystems of people, devices, and data. Our Intelligence Suite transforms operating room (OR) performance, keeping teams in sync and workflows on track to maximise throughput. Simultaneously … secure video record of every procedure; improving training, education, and collaboration. It is an intuitive asset which helps instil a culture of continuous learning, accelerates the adoption of cutting‐edge medical devices, and enhances surgical performance across the entire global workforce – improving outcomes and saving lives. Proximie was commercialised ...

dedicated to supporting the advancement science and technology in an innovative environment, we encourage you to apply! Role Overview We are seeking a Machine Learning Engineer to advance data-processing and model-building and deployment capabilities at Bind. This role includes developing new machine-learning models … productionizing these models internally and externally, contributing to open-source software, and large-scale data analysis, curation, and pipeline building. Key Responsibilities Develop innovative machine learning approaches to elucidate and quantify the interactions between small molecules and intrinsically disordered proteins Integrate molecular simulations and deep learning approaches ...

complex real-world problems. You will act as the technical expert for machine learning within the Imaristeam, researching, developing and deploying advanced ML solutions that directly enhance our image analysis, image processing, object detection and segmentation capabilities. Working at the intersection of software engineering, machine learning … deploy advanced machine learning solutions for image analysis, image processing, object detection and segmentation. Evaluate technical challenges and determine the most effective ML approach, whether developing custom models or adapting state-of-the-art solutions. Explore emerging technologies and techniques to continuously improve product capabilities. Software Development Design ...

/ML Engineer (Contract) London2 Days in OfficeOutside IR35£400 - £500 Per Day6 months long The Company They are a well-established media business with a strong digital presence and a growing focus on data and AI innovation. Their teams leverage advanced analytics and machine learning to better … experience within the media, publishing, broadcasting, streaming, or digital content sectors is essential. How to Apply If you are interested in this AI/ML Engineer opportunity and would like to learn more, please apply with your updated CV. ...

well-established media business with a strong digital presence and a growing focus on data and AI innovation. Its teams use advanced analytics and machine learning to understand audiences, improve content performance, and support commercial growth. Задачи Design, develop, and deploy machine learning models into production … environments; Build AI solutions for audience segmentation, content recommendation, and engagement optimisation; Develop scalable data and machine learning pipelines for high-volume media datasets; Collaborate with data scientists, data engineers, product teams, and business stakeholders to deliver AI-driven products; Implement MLOps best practices, including model monitoring, testing ...

engineers like you to help us do it reliably, securely, and at scale. As a Software Engineer III at JPMorganChase within the AI/ML Data Platforms organization, you will be a key member of the Reliability Engineering team, contributing to the design and delivery of trusted, market-leading technology … products. You will apply your technical expertise and problem-solving skills to enhance the reliability and scalability of AI/ML platforms, build reusable services and tooling, and partner across teams to unblock high-impact AI use cases. This is an opportunity to shape how the firm delivers AI capabilities ...

journey. Let’s create tomorrow, together, today. About the role and team: Role overview CreateFuture is delivering the migration of an ML estate from Databricks to an AWS SageMaker-based MLOps platform, working alongside AWS. The Senior Data Engineer (ML) sits in the Databricks workstream team (Delivery Manager, Lead ML … Engineer, a second Senior Data Engineer ML, and 0.5 FTE Cloud/DevOps), building and migrating the data pipelines that feed model training and inference, and proving parity between the old and new platforms. This is hands‐on delivery in a regulated iGaming environment: production pipelines, not notebooks. Key responsibilities ...

journey. Let’s create tomorrow, together, today. About the role and team: Role overview CreateFuture is delivering the migration of an ML estate from Databricks to an AWS SageMaker-based MLOps platform, working alongside AWS. The Senior Data Engineer (ML) sits in the Databricks workstream team (Delivery Manager, Lead ML … Engineer, a second Senior Data Engineer ML, and 0.5 FTE Cloud/DevOps), building and migrating the data pipelines that feed model training and inference, and proving parity between the old and new platforms. This is hands‐on delivery in a regulated iGaming environment: production pipelines, not notebooks. Key responsibilities ...

journey. Let’s create tomorrow, together, today. About the role and team: Role overview CreateFuture is delivering the migration of an ML estate from Databricks to an AWS SageMaker-based MLOps platform, working alongside AWS. The Senior Data Engineer (ML) sits in the Databricks workstream team (Delivery Manager, Lead ML … Engineer, a second Senior Data Engineer ML, and 0.5 FTE Cloud/DevOps), building and migrating the data pipelines that feed model training and inference, and proving parity between the old and new platforms. This is hands‐on delivery in a regulated iGaming environment: production pipelines, not notebooks. Key responsibilities ...

journey. Let’s create tomorrow, together, today. About the role and team: Role overview CreateFuture is delivering the migration of an ML estate from Databricks to an AWS SageMaker-based MLOps platform, working alongside AWS. The Senior Data Engineer (ML) sits in the Databricks workstream team (Delivery Manager, Lead ML … Engineer, a second Senior Data Engineer ML, and 0.5 FTE Cloud/DevOps), building and migrating the data pipelines that feed model training and inference, and proving parity between the old and new platforms. This is hands‐on delivery in a regulated iGaming environment: production pipelines, not notebooks. Key responsibilities ...

start-up mentality every step of the way – meaning you'll have the opportunity to make a real impact. As an Applied AI/ML Engineer - Associate at JPMorgan Chase within the International Consumer Bank, you will be a part of a flat-structure organization. Your responsibilities are to contribute … technologies and the best industry practices. You are expected to be involved in the delivery and implementation of those solutions. Our Applied AI/ML team is at the heart of this venture, focused on getting smart ideas into the hands of our customers. We're looking for people ...

Mission As a Senior Specialist Solutions Architect (ML & AI), you will serve as the trusted technical ML and AI expert for Databricks customers and the Field Engineering organization. You will partner with Solution Architects to guide enterprise and strategic customers in architecting production‐grade ML and AI applications … Databricks Data Intelligence Platform. You will also continue to sharpen your technical expertise in cutting‐edge areas like GenAI, ML, MLOps, and LLMOps, while mentoring colleagues and establishing yourself as an AI thought leader. Impact you will have Architecting Workloads: Design and implement production‐level ML and AI workloads, including ...

Senior Specialist Solutions Architect (AI/ML) London, United Kingdom Mission As a Senior Specialist Solutions Architect (ML & AI), you will serve as the trusted technical ML and AI expert for Databricks customers and the Field Engineering organization. You will partner with Solution Architects to guide enterprise and strategic customers … architecting production‐grade ML and AI applications on the Databricks Data Intelligence Platform. You will also continue to sharpen your technical expertise in cutting‐edge areas like GenAI, ML, MLOps, and LLMOps, while mentoring colleagues and establishing yourself as an AI thought leader. Impact you will have Architecting Workloads: Design ...

example as a "player-coach": directly contributing to code and architecture, while growing engineering talent and setting best practices. Foster a culture of learning, experimentation, and curiosity. Technical Excellence Champion engineering excellence, clean architecture, and maintainable code across squads. Hands-on in backend development – leading complex problem-solving ...

software applications and systems Participate in code reviews and provide constructive feedback to peers. Stay up to date with emerging Cloud and AI/ML technologies and industry trends to drive innovation and continuous improvement Lead communities of practice across Software Engineering to promote awareness and adoption ...

/ML Engineer (Contract) London Fully Remote Outside IR35 £400 - £500 Per Day 3 months long initially, may extended. The Company They are a well-established consumer goods business with a strong international presence and a growing investment in AI and advanced analytics. Data and technology are central to their … within a consumer goods, retail, e-commerce, or FMCG environment would be advantageous. How to Apply If you are interested in this AI/ML Engineer opportunity and would like to learn more, please apply with your updated CV. ...

skills Formal training or certification on artificial intelligence and machine learning concepts and applied experience Advanced proficiency in Python and the modern ML/DL stack (e.g., PyTorch, Hugging Face) Hands-on experience evaluating, fine-tuning, and deploying Large Language Models Strong grounding in experimental design, evaluation … benchmarking of ML systems Ability to bridge research and engineering: prototypes that become production-ready capabilities Awareness of inference cost, performance, and optimisation techniques Strong communication skills, including translating research into business and engineering terms Published in a top-tier AIML venue (e.g. NeurIPS, ICML, ICLR, ACL, EMNLP, CVPR ...

JPMorganChase, your contributions help us build smarter, more resilient systems. Discover a workplace where your ideas and growth matter. As an AI/ML Software Engineer in our team, you will deliver AI/ML projects through the full development life cycle using Agile methodology. You will transform business requirements … proactively identifying opportunities for improvement. You will also contribute to our software engineering communities and explore emerging technologies. Job Responsibilities Deliver AI/ML projects through the ML development life cycle using Agile methodology Transform business requirements into AI/ML specifications, define milestones, and ensure timely delivery Execute solutions ...

available £45k to £95k DoE plus 15% clearance bonus Must be willing to be full-time on-site in Central London Skills required in machine learning, GenAI, NLP, Customer Engagement/Consultancy Who are we? We are recruiting Junior, Senior and Lead Data Scientists with AI specialism …/CD tools. To be Considered: KEY SKILLS: Data Science/Data Scientist/AI Engineer/AI/Machine Learning/ML/NLP/GenAI/Stakeholder Engagement/Customer Engagement/AWS/Azure/Cloud/Docker/Kubernetes/CI/CD/ ...

libraries. Excellent communication skills, with the ability to explain technical concepts clearly to geoscientists, software engineers, data scientists, and product stakeholders. AI/ML Implementation Design, implement, and test AI/ML methods that automate or enhance subsurface interpretation, prediction, and modelling. Apply data-driven approaches to sparse, noisy … geoscientists, software engineers, data scientists, and product teams to turn research ideas into practical prototype workflows. Stay current with relevant advances in AI/ML, geoscience analytics, and subsurface modelling, and assess how they can be applied within Landmark workflows. Lead and contribute to technical presentations, publications, patent disclosures ...

seeking a Software Engineer with expertise in AWS and Python, and a passion for Machine Learning, to help engineer and deploy innovative ML solutions into production. You will join the Applied AI/ML Software Engineering team, collaborating with technology teams across the firm, contributing to both … support of the firm’s business objectives. In this role, you will work alongside Data Scientists to build cloud-based frameworks for hosting machine learning models, providing software engineering expertise throughout the model development lifecycle. You will leverage both internal and external cloud platforms, utilizing proprietary and open ...

notebooks, clusters); Azure Machine Learning models and endpoints; Power BI dashboards and dataset refreshes. Monitor and troubleshoot failures in pipelines, jobs, and ML workflows using Azure Monitor, Log Analytics, and custom alerting. DevOps & Automation Maintain CI/CD pipelines using Azure DevOps, GitHub Actions, etc., for ADF, Databricks … ML model deployments. Develop automation scripts in Python, PowerShell, or Bash to reduce manual intervention and improve service reliability. SQL and Data Warehouse Operations Write, optimize, and troubleshoot SQL queries for data validation, root cause analysis, and report troubleshooting. Support and maintain data warehouse environments such as Azure Synapse Analytics ...

learning, telecom analytics, network performance analytics, or AIOps analytics.* Strong Python skills for data analysis, modelling, and automation.* Strong knowledge of statistics, ML basics, feature engineering, and model evaluation.* Experience working with network KPIs, alarms, telemetry, inventory, topology, or service assurance data.* Understanding of telecom network domains including … data can support AI agents and RAG systems.* Experience with BigQuery or similar data warehouse/analytics platforms.**Required Technical Skills*** Python.* Statistics and ML basics.* Network KPI modelling.* RAN, Core, IP, SD-WAN, and Transport KPI understanding.* Fault analysis and anomaly detection.* AIOps analytics.* Data aggregation and data pipelines. ...