376 to 400 of 4,926 Machine Learning Jobs in England

analysts and data scientists to ensure that high-quality, well‐modelled data is available for analytics and future AI use cases. Assist with productionising ML pipelines where needed, ensuring they run reliably within Databricks. Support feature engineering and experiment environments as part of the wider platform. Work cross‐functionally with ...

analysts and data scientists to ensure that high-quality, well-modelled data is available for analytics and future AI use cases. Assist with productionising ML pipelines where needed, ensuring they run reliably within Databricks. Support feature engineering and experiment environments as part of the wider platform. Work cross-functionally with ...

handling, access control, and GDPR basics Nice to Have: RAG architecture, hybrid retrieval strategies, or prompt engineering experience Nice to Have: MLOps or ML pipeline experience Nice to Have: Domain knowledge in compliance, tax technology, or e-invoicing Due to client contractual obligations, the successful candidate will be asked ...

handling, access control, and GDPR basics Nice to Have: RAG architecture, hybrid retrieval strategies, or prompt engineering experience Nice to Have: MLOps or ML pipeline experience Nice to Have: Domain knowledge in compliance, tax technology, or e-invoicing Due to client contractual obligations, the successful candidate will be asked ...

within the function, informing risk assessment, audit planning, and continuous monitoring activities. Provide expert insight on evolving risk areas (e.g. cyber resilience, AI/ML, automation, third-party risk, cloud transformation). Support Broader Audit Delivery Embed IT risk considerations within business and operational audits (e.g. underwriting, claims, finance), ensuring ...

default. Nice to have: Previous experience in fintech Experience re‐architecting a data platform from the ground up Experience building and training AI/ML models Databricks Certified Data Engineer Professional (or equivalent) Proficiency in building streaming data processing systems Familiarity with Docker, Kubernetes, and cloud services (AWS, GCP) What ...

function, informing risk assessment, audit planning, and continuous monitoring activities. + Provide expert insight on evolving risk areas (e.g. cyber resilience, AI/ML, automation, third-party risk, cloud transformation).* **Support Broader Audit Delivery** + Embed IT risk considerations within business and operational audits (e.g. underwriting, claims, finance), ensuring ...

support of the CODAS project and related R&D Lab initiatives. Contribute to the delivery of technical components for a sovereign AI ecosystem, including ML services, data processing pipelines, evaluation tooling and deployment‐ready applications. Support the translation of research outputs into robust, maintainable and operationally viable systems. Work with … internal colleagues and external project partners to understand technical requirements, constraints and delivery priorities. Help adapt AI and ML approaches to privacy‐sensitive, security‐conscious and regulated deployment contexts. Contribute to the integration of technical solutions into project infrastructure, workflows and partner environments. Troubleshoot technical, data and integration issues arising ...

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 ...

focusing on what clients really need and delivering against that every single day. Key Responsibilities Lead the development and deployment of advanced AI and machine learning models to support and enhance our workflows. Collaborate with cross-functional teams to integrate AI technologies with other system components. Ensure … Qualifications Extensive experience with version control tools, preferably Git. Proficiency in Docker and container orchestration. Advanced proficiency in Python and familiarity with AI and machine learning libraries (e.g., TensorFlow, PyTorch, Scikit-learn). Strong understanding of algorithms, data structures, and software engineering principles. Experience in deploying AI models ...

Senior ML Ops Engineer London (Hybrid, 1-2 days per week) | £75,000 - £85,000 + 10% Bonus This is an opportunity to join a growing AI and data organisation that is using advanced analytics and machine learning to help public sector organisations make better, more informed decisions. … will play a pivotal role as the ML Ops specialist within the AI function, owning the infrastructure, deployment, and operational excellence of production machine learning systems. The Company They are an established data and AI business focused on developing innovative machine learning and analytics solutions that ...

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 ...

tooling for experimentation, evaluation, and debugging; Translate research models into robust, production-ready systems; Monitor and improve model performance in real-world usage. Own ML projects end to end within a product team, including framing the problem, choosing the approach, executing the plan, shipping the feature, and monitoring its performance … production. Work closely with SMB, Scaler, or Enterprise product teams on focused ML problems tied to clear customer and business outcomes. Make build vs. buy decisions for ML models, deciding when to fine-tune or build models versus integrating external models or APIs. Move quickly from idea to production, prioritizing ...

/ML Computational Scientist, you will design, build, and operationalize artificial intelligence and machine learning solutions for enterprise clients, combining custom models with cloud and third-party AI services to deliver production-ready outcomes. Your role spans the full solution lifecycle assessing client needs and data, selecting … include big data, high-performance compute, engineering simulations, scientific compute, grid and cloud computing, distributed networks experience in building and deploying AI/ML based software to a cloud environment. PREFERRED QUALIFICATION Proficiencyin Python andpython-based AI/ML framework and familiarity with relevant libraries and frameworks (e.g., TensorFlow,PyTorch ...

/ML Computational Scientist, you will design, build, and operationalize artificial intelligence and machine learning solutions for enterprise clients, combining custom models with cloud and third-party AI services to deliver production-ready outcomes. Your role spans the full solution lifecycle assessing client needs and data, selecting … include big data, high-performance compute, engineering simulations, scientific compute, grid and cloud computing, distributed networks Experience in building and deploying AI/ML based software to a cloud environment. PREFERRED QUALIFICATION Proficiencyin Python andpython-based AI/ML framework and familiarity with relevant libraries and frameworks (e.g., TensorFlow,PyTorch ...

deliver faster, smarter solutions that empower our organization. As an AI & Data Scientist in the HR Data & Analytics team, you will apply advanced analytics, machine learning, and artificial intelligence techniques to transform workforce data into actionable insights and solutions. You will partner with business leaders, product teams … Your work will help accelerate the delivery of innovative AI solutions within a regulated environment. Job Responsibilities: Design, develop, test, and deploy AI and machine learning solutions that address workforce and business challenges Conduct statistical analyses, experiments, and model evaluations to generate actionable insights and recommendations Contribute ...

London, UK Sr Staff ML Forward Deployed Engineer, Enterprise GenAI Scale GP (Scale Generative AI Platform) is an enterprise-grade Generative AI platform that provides APIs for knowledge retrieval, inference, evaluation, and more. We are looking for a strong engineer to join our team and help us build and scale … scale distributed systems. You will be responsible for owning large new areas within our product, working across backend, frontend, and interacting with LLMs and ML models. You will solve hard engineering problems in scalability and reliability. You will: Own large new areas within our product Work across backend, frontend ...

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 ...

advanced analytics and AI use cases Integrate Databricks with Azure Machine Learning, Azure OpenAI and wider Azure data services Support AI/ML and agentic AI workloads including RAG, LLMs and autonomous agent architectures Develop analytical solutions incorporating machine learning, NLP, graph analytics, clustering, entity resolution … learning workloads Graph databases and graph analytics including Neo4j or Cosmos DB Gremlin API Power BI and analytical visualisation Feature stores and ML data pipelines NLP, clustering, entity resolution and causal inference Responsible AI and AI governance frameworks Previous experience within Defence, Government, National Security or similarly regulated ...

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 ...