226 to 250 of 414 Deep Learning Jobs in England

hire for this role. YOU ARE As an AI/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 and customizing models (including Deep Learning, Generative AI, and Large Language Models), designing scalable data andMLOps/LLMOpspipelines for training and production, and ensuring quality, value, and reliability of deployed systems. THE WORK Formulate real-world problems into practical, efficient ...

hire for this role. YOU ARE As an AI/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 and customizing models (including Deep Learning, Generative AI, and Large Language Models), designing scalable data and DevOps &MLOpspipelines for training and production, and ensuring quality, value, and reliability of deployed systems. THE WORK Formulate real-world problems into practical, efficient ...

Manager/Associate Director YOU ARE As a senior AI/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 and customizing models (including Deep Learning, Generative AI, and Large Language Models), designing scalable data andMLOps/LLMOpspipelines for training and production, and ensuring quality, value, and reliability of deployed systems. THE WORK Formulate real-world problems into practical, efficient ...

values, we push boundaries, build with speed and intensity, and relentlessly deliver incredible value to our customers. What's the opportunity? Fin's Machine Learning team is responsible for defining new ML features, researching appropriate algorithms and technologies, and rapidly getting first prototypes in our customers’ hands. … move to production fast, often shipping to beta in weeks after a successful offline test. We are very passionate about applying machine learning technology, and have productized everything from classic supervised models, to cutting-edge unsupervised clustering algorithms, to novel applications of transformer neural networks. We test and measure ...

that journey: clinical development. Trial design, patient selection, dose optimisation, biomarker strategy, and safety evaluation each represent genuine opportunities where AI and machine learning can add rigour, speed, and precision — not as a replacement for clinical and statistical expertise, but as a powerful complement to it. We hold ourselves … innovative trial designs (FDA, EMA, MHRA). Evaluate and champion cutting-edge AI methodologies — including foundation models, agentic AI systems, generative patient models, multimodal learning, Bayesian inference, causal inference, and model calibration and domain adaptation — proposing fit-for-purpose approaches with robust evaluation criteria and risk assessment. Establish ...

pharmacovigilance; Advise executive stakeholders on AI strategy and translate technical concepts into actionable business outcomes; Define and deliver enterprise-wide AI and machine learning adoption roadmaps aligned with business objectives; Create governance frameworks to meet regulatory and ethical requirements, including GDPR, FDA, and EMA; Prototype Generative … mining, safety monitoring, and patient programs; Collaborate with data engineers, clinicians, and business teams to tailor solutions to client needs; Deploy AI and machine learning models in production using MLOps and LLMOps practices; Use cloud platforms and data solutions to ensure scalability and operational integrity; Present data-driven recommendations ...

prototyping new ideas, and transforming promising innovations into production-ready solutions that create measurable business impact.This role is ideal for someone who enjoys combining deep technical expertise with experimentation and discovery. You'll continuously evaluate new AI capabilities, conduct research and proof of concepts, and help identify opportunities where … unlock new customer and business value. You'll work across Generative AI, Agentic AI, Machine Learning, and LLMs, helping deliver innovative capabilities that create real business value.What you’ll ownAssess, Design, build, optimize and deploy ML/AI models, Foundational models for real-world applicationsContinuously research and evaluate emerging ...

Machine Learning Engineer - Spiking Neural Networks Salary: £75,000 to £100,000 Location: West London Working arrangement: Predominantly office and customer-site based, with some remote working available Employment: Permanent, full-time MFK Recruitment is seeking a specialist Machine Learning Engineer to help develop an engineering-grade Spiking … Neural Network engine for practical machine vision applications. Our client develops advanced AI and Machine Learning technology for defence, security and other demanding operational environments. Its work combines computer vision, perception and neuroscience-inspired technology to produce accurate and robust AI systems. MFK Recruitment has successfully recruited four Engineers ...

Amazon Development Centre (London) Limited We are looking for a passionate, talented, and inventive Data Scientist with a strong machine learning and analytics background to help build industry‐leading language technology powering Rufus, our AI‐driven search and shopping assistant, helping customers with their shopping tasks at every step … their shopping journey. This innovative role focuses on developing conversation‐based, multimodal shopping experiences, utilizing data analysis, statistical modeling, machine learning technologies, and experimentation to drive product decisions and optimize customer experiences. Our mission in conversational shopping is to make it easy for customers to find and discover ...

core of the role is hands on delivery. Key Responsibilities Model ownership from start to finish: Design, build, and deploy production grade machine learning models, from problem framing and experimentation through to live deployment and monitoring. Technical depth: Apply strong statistical modelling, ML, and (where relevant) NLP/… Contribute to how the wider data science function approaches tooling, methodology, and model governance. Technical Environment Languages/Tools: Python (NumPy, Pandas, Scikit learn), deep learning frameworks (PyTorch/TensorFlow), SQL. MLOps: MLflow, cloud ML platforms (Azure ML, AWS SageMaker, or Databricks). Focus areas: Predictive modelling, recommender ...

discover new insights. Working in a multi-disciplinary team within a highly technical and complex environment. Well versed in scalable data mining and machine learning techniques (using computers to improve as well as develop algorithms)Kernel Methods, Deep Learning, Statistical Relational Learning, Ensemble Methods Model using ...

discover new insights. Working in a multi-disciplinary team within a highly technical and complex environment. Well versed in scalable data mining and machine learning techniques (using computers to improve as well as develop algorithms)Kernel Methods, Deep Learning, Statistical Relational Learning, Ensemble Methods Model using ...

Working within the wider research strategy and architectural vision set by the Senior Staff AI Scientist, you will own significant research programmes and bring deep specialist expertise across AI-driven life sciences, growing your influence over the team’s broader research agenda over time. This is a hands … contribute to the development of more junior AI Scientists. KEY RESPONSIBILITIES Own and lead significant research workstreams in multimodal biomedical foundation model design, bringing deep specialist expertise across at least two biomedical data modalities from multi-omics, clinical and health records, medical imaging. Develop and validate novel approaches ...

DescriptionCertificationsNVIDIA certifications (NCP-AI Infrastructure, or NVIDIA Deep Learning Institute credentials) — strongly preferred. Cloud AI/ML certification: AWS Certified Machine Learning – Specialty, Microsoft Certified: Azure AI Engineer Associate, or Google Professional Machine Learning Engineer — at least one preferred. Kubernetes: CKA or CKAD — preferred. TOGAF … demonstrable experience. Advanced degree (MS in CS/AI/ML or related) beneficial but not required given sufficient hands-on depth. Continuous, demonstrable learning in AI — publications, open-source contributions, conference speaking, or lab-based experimentation are all valued signals. Job RequirementsEnterprise Architect — Artificial IntelligenceAI/ML Infrastructure ...

making. Accountabilities Customer Build trusted relationships with internal stakeholders to understand operational context and business priorities. Solve complex business problems using applied mathematics, machine learning, and statistical modelling. Own data science deliverables over the full life of data products, providing clear updates and presenting complex statistical outputs in accessible … manipulate, profile, and transform structured and unstructured data using state-of-the-art facilities in Google Cloud Platform. Design, build, test, and productionise machine learning models (e.g., sales and waste forecasting, customer segmentation, recommendation engines). Build feature sets and establish reusable data science pipelines and validation checks. Apply ...

Machine Learning Engineer (All Levels) Department: Engineering Employment Type: Permanent - Full Time Location: Bristol, UK Reporting To: Greg Daly Compensation: £50,000 - £95,000/year Description We’re building the UK's next generation engineering powerhouse, providing critical technology that strengthens national security and resilience. We specialise … useful AI into the hands of users. Our ML team works end-to-end, from R&D to deployment, across traditional ML, deep learning, data engineering, foundation models and LLM/agentic systems. We are now hiring across a broad range of ML skills, including model training, evaluation ...

harness cutting-edge AI techniques to revolutionize business decisions and automate processes. As an Applied AI/ML Lead – Vice President - Machine Learning Engineer in the Applied AI ML team at JPMorgan Commercial & Investment Bank, you will be at the forefront of combining cutting‐edge AI techniques with … libraries and services to be leveraged across the team. This role offers a unique blend of scientific research and software engineering, requiring a deep understanding of both mindsets. The role is initially that of an individual contributor, though there will be optional opportunity for management responsibility dependent ...

harness cutting-edge AI techniques to revolutionize business decisions and automate processes. As an Applied AI/ML Lead â Vice President - Machine Learning Engineer in the Applied AI ML team at JPMorgan Commercial & Investment Bank, you will be at the forefront of combining cutting-edge AI techniques with … libraries and services to be leveraged across the team. This role offers a unique blend of scientific research and software engineering, requiring a deep understanding of both mindsets. The role is initially that of an individual contributor, though there will be optional opportunity for management responsibility dependent ...

parts of that journey: clinical development. Trial design, patient selection, doseoptimisation, biomarker strategy, and safety evaluation each represent genuine opportunities where AI and machine learning can addrigour, speed, and precision — not as a replacement for clinical and statistical expertise, but as a powerful complement to it. We hold ourselves … methods or innovative trial designs (FDA, EMA, MHRA). Evaluate and championcutting-edgeAI methodologies — including foundation models, agentic AI systems, generative patient models, multimodal learning, Bayesian inference, causal inference, and model calibration and domain adaptation — proposing fit-for-purpose approaches with robust evaluation criteria and risk assessment. Establish andmaintainexternal ...

will apply data, algorithms, and software engineering to build and deploy software and platform systems that create Artificial Intelligence and Machine Learning-based solutions at scale. Your work will involve designing AI systems, data wrangling, and software implementation to enable AI models to be useful and scalable. You will … same. Responsibilities- Designing and implementing AI systems to transform raw data into actionable insights- Leading teams in the development of scalable machine learning models and solutions- Managing complex data analysis and integration to support AI-driven initiatives- Utilizing programming languages such as Python and Java to enhance AI model ...

looking for a passionate, talented, and inventive Data Scientist with a strong machine learning and analytics background to help build industry-leading language technology powering Rufus, our AI-driven search and shopping assistant, helping customers with their shopping tasks at every step of their shopping journey. This innovative role … focuses on developing conversation-based, multimodal shopping experiences, utilizing data analysis, statistical modeling, machine learning (ML) technologies, and experimentation to drive product decisions and optimize customer experiences. Our mission in conversational shopping is to make it easy for customers to find and discover the best products to meet their ...

harness cutting-edge AI techniques to revolutionize business decisions and automate processes. As an Applied AI/ML Lead – Vice President - Machine Learning Engineer in the Applied AI ML team at JPMorgan Commercial & Investment Bank, you will be at the forefront of combining cutting-edge AI techniques with … libraries and services to be leveraged across the team. This role offers a unique blend of scientific research and software engineering, requiring a deep understanding of both mindsets. The role is initially that of an individual contributor, though there will be optional opportunity for management responsibility dependent ...

values, we push boundaries, build with speed and intensity, and relentlessly deliver incredible value to our customers. What's the opportunity? Fin's Machine Learning team is responsible for defining new ML features, researching appropriate algorithms and technologies, and rapidly getting first prototypes in our customers’ hands. … move to production fast, often shipping to beta in weeks after a successful offline test. We are very passionate about applying machine learning technology, and have productized everything from classic supervised models, to cutting‐edge unsupervised clustering algorithms, to novel applications of transformer neural networks. We test and measure ...

working from home and our offices. Talk to us about how we can best support you! We are looking for a Lead Machine Learning Engineer to join our Data Science team, to lead the research and development process of ML/AI services developed in the Group Data Science … group priorities. Lead the implementation of data science projects and data science approaches to support commercial goals Develop a highly proficient team of Machine Learning Engineers, establishing collaborative ways of working Collaborate with tech, product and data teams to develop the data platforms that allow us to apply data ...

working from home and our offices. Talk to us about how we can best support you! We are looking for a Lead Machine Learning Engineer to join our Data Science team, to lead the research and development process of ML/AI services developed in the Group Data Science … Lead the implementation of data science projects and data science approaches to support commercial goals Develop a highly proficient team of Machine Learning Engineers, establishing collaborative ways of working Collaborate with tech, product and data teams to develop the data platforms that allow us to apply data science ...