876 to 900 of 4,114 Machine Learning Jobs in England

integral part of the team, you will play a pivotal role in driving the adoption of cutting-edge AI and Machine Learning (ML) technologies at the firm.In this role, you will have the opportunity to contribute to various AI/ML domains, including but not limited to machine … Your responsibilities will include:Collaborating effectively with colleagues to advance production machine-learning systems and applications.Conceptualizing, experimenting with, and assessing AI/ML-based software systems.Developing, testing, and maintaining high-quality, production-ready code.Demonstrating technical leadership by taking charge of cross-team projects.Creating libraries and frameworks that underpin ...

might look like: Taking ownership of ambiguous or novel technical challenges and setting a clear delivery approach for the team Delivering high‐quality traditional ML, data science and Gen AI solutions that align with client needs Communicating confidently with senior stakeholders about technical decisions, trade‐offs, risks and results Becoming … client leadership, team management, rigour and communication strength. You might be a great fit if you have: 5+ years of relevant experience delivering AI, ML or data science solutions end‐to‐end, ideally in a consulting environment Strong expertise in traditional machine learning and data science, including forecasting ...

scalable and responsible AI solutions across a range of high-profile client engagements.Key responsibilities will include: Designing and implementing end-to-end AI/ML solutions from development through to deployment and monitoring Building scalable Generative AI and Agentic AI solutions, including RAG pipelines and orchestration frameworks Implementing MLOps frameworks … major Consulting firm, and/or in industry A strong consulting mindset with experience engaging senior stakeholders Proven experience designing and delivering AI/ML solutions at scale Strong understanding of Generative AI, Agentic AI and modern AI engineering frameworks Experience with at least one major cloud platform including Azure ...

defining best practices. Working with clients, and cross-functional teams, you'll ensure technical feasibility and timely delivery of high-quality, production-grade ML systems. What you'll be doing: Building and deploying production-grade ML software, tools, and infrastructure. Creating reusable, scalable solutions that accelerate the delivery of ML … implementing Faculty’s standards for deploying machine learning at scale. Acting as a technical advisor to customers and partners, translating complex ML concepts for stakeholders. Who we're looking for: You understand the full machine learning lifecycle and have experience operationalising models built with frameworks like ...

grow with us and shape the future of media and entertainment solutions? Let’s do it together! About the Job – Gravity AI/ML Engineer The Gravity AI/ML Engineer will play a pivotal role in extending and shaping the machine learning and AI implementation within Gravity … Cloud service. The successful candidate will be able to implement models that to deliver innovate actionable intelligence for Gravity users. Key Responsibilities Develop ML models for: Wi‐Fi performance prediction and classification Anomaly detection in home networks and CPE telemetry Root‐cause analysis for subscriber connectivity issues Optimization of channel ...

responsible AI solutions across a range of high-profile client engagements. Key responsibilities will include: * Designing and implementing end-to-end AI/ML solutions from development through to deployment and monitoring * Building scalable Generative AI and Agentic AI solutions, including RAG pipelines and orchestration frameworks * Implementing MLOps frameworks, governance … major Consulting firm, and/or in industry * A strong consulting mindset with experience engaging senior stakeholders * Proven experience designing and delivering AI/ML solutions at scale * Strong understanding of Generative AI, Agentic AI and modern AI engineering frameworks * Experience with at least one major cloud platform including Azure ...

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/data mining algorithms to answer those questions and implement those on the C3 AI Platform so they can run at scale. Qualified … 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 projectand workbothindependently and in a team. Smart, motivated, can do attitude, and seeks to make a difference. Excellent ...

writing and debugging Python as they are making technical decisions. You will spend most of your time designing, writing, testing and improving AI and Machine Learning systems, taking solutions beyond experimentation and into reliable production use.You will combine hands on delivery with technical ownership, working through ambiguity, making … experience in AI Engineering, Machine Learning Engineering or AI focused Software Engineering, with evidence of personally building and deploying production AI or ML applications.Experience taking AI or ML capabilities beyond proof of concept, with an understanding of deployment, configuration, monitoring, evaluation, failure handling and ongoing improvement.Strong software ...

writing and debugging Python as they are making technical decisions. You will spend most of your time designing, writing, testing and improving AI and Machine Learning systems, taking solutions beyond experimentation and into reliable production use. You will combine hands on delivery with technical ownership, working through ambiguity … experience in AI Engineering, Machine Learning Engineering or AI focused Software Engineering, with evidence of personally building and deploying production AI or ML applications. Experience taking AI or ML capabilities beyond proof of concept, with an understanding of deployment, configuration, monitoring, evaluation, failure handling and ongoing improvement. Strong ...

perception, and evaluation teams to test these foundation models and measure their impact on the performance of the Waymo Driver. You have: PhD in ML or related in AI/CS, or MSc with a strong academic publication record Strong statistical/ML knowledge Proficiency in Python 3+ years … experience with modern deep learning frameworks: JAX, TensorFlow/PyTorch We prefer: Proven track record of deploying ML models to production environments Deep learning experience, especially with generative models, e.g., LLMs/VLMs, and/or reinforcement learning or imitation learning, transformer models, autoencoders and embeddings ...

Accelerator's ability to train biomedical foundation models, manage experimentation at scale, operationalise discoveries and deliver production-quality AI depends on the ML platform, tooling and practices that underpin the entire model lifecycle. THE POSITIONWe are seeking a senior leader in MLOps Engineering to join Computational Innovation's AI Accelerator … governance. This is both a strategic and hands-on technical leadership role. You will define architecture and standards, help solve the most challenging ML platform problems yourself and serve as the senior technical authority for MLOps within the AI Accelerator. As a senior member of the AI Enablement leadership team ...

discipline.Strong background in one or more of the following: Quantum Technologies, Optics, Electromagnetics, Sonar & Acoustics, Semiconductor Physics, Thermal Systems, Fluid Dynamics or AI/ML Algorithms.Experience with computational modelling, simulation or experimental research.Strong analytical and problem-solving skills.Excellent communication skills with the ability to work independently and within multidisciplinary teams.The … role, or any other jobs across; Embedded, C++ programming, Embedded Linux, Golang Development, FPGA, Python, Javascript, C#, Electronics, Secure Boot, Power Electronics, Digital Design, Machine Learning, Data Science or Simulation, contact us today.Tagged as: C++, Machine Learning, Matlab, Matlab/Simulink, Software, systems ...

things well: deliver high-impact technical training to corporate clients, and coach apprentices through to successful completion. If you've got strong AI/ML/Data expertise and enjoy both classroom-style delivery and 1-2-1 learner support, this is a broad, high-visibility role with real autonomy …/Data curriculum evolves. The role: Design and deliver technical learning content across AI, Machine Learning and Data Science — covering Python, ML frameworks, cloud platforms and applied AI use cases Work directly with corporate clients to understand capability gaps and shape tailored, blended learning solutions across ...

designs and implementations, providing clear technical direction and sign ‐ off . Supporting and mentoring data scientists on complex technical challenges. Partnering with Data Architecture, ML & Data Engineering, and BI teams to ensure solutions are scalable, robust, and production ‐ ready. Evaluating new techniques and tools, guiding their pragmatic adoption. Communicating technical … machine learning roles . Proven experience operating as a senior technical lead, reviewer, or technical sign ‐ off authority. Strong experience building ML solutions on cloud platforms (GCP, AWS, or Azure). Advanced expertise in Python and SQL . Deep applied knowledge of machine learning techniques, including ...

your research. Our position offers opportunities to grow your technical and non-technical skills and make a global impact immediately. Key job responsibilities- Develop machine learning algorithms for high-scale recommendations problems- Rapidly design, prototype and test many possible hypotheses in a high-ambiguity environment, making … computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field), or equivalent relevant work experiencePreferred qualification - Experience using managed ML/AI solutions- Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc.- Experience with large scale distributed systems ...

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 J.P.Morgan's Cloud capabilities or optimal hedging policies ...

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. ...

complex challenges across the electromagnetic environment. Working within Metrea’s Decision Science Laboratory (DESLAB) and automated Solution Engine, you will design, test, and deploy ML-enabled capabilities that go beyond traditional signal processing approaches. This includes exploring the potential of methods such as Transformers, self-supervised learning, probabilistic modelling … design rigorous experiments, evaluate model and algorithm performance, and translate findings into clear technical recommendations Excellent communication skills, with the ability to explain complex ML, RF, statistical, and engineering concepts to technical and non-technical audiences A collaborative mindset, strong technical curiosity, and the ability to work effectively ...

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.Excellent verbal ...

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 ...

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 ...

data governance and access control frameworks for systems Create security-by-design principles for AI model development Design threat models specific to AI/ML systems and attack surfaces Technical Security Standards: Develop and maintain security frameworks and best practices Create secure coding standards for ML engineers and data scientists … systems architecture, or infrastructure security Proven capabilities in designing and architecture large-scale systems Experience in hands-on and applied experience with AI/ML security architecture Deep technical knowledge of: Machine learning systems and workflows AI/ML vulnerabilities and attack vectors (adversarial examples, model extraction, poisoning ...

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 will expand … 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 biomarker ...

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 ...

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. Working 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. #J-18808-Ljbffr ...