876 to 900 of 1,708 Machine Learning Jobs in England

benefit: Image Processing Algorithms : Segmentation, Filter Design, Noise Removal, Compression, Super Resolution Computer Vision Algorithms : Tracking, Optical Flow, Particle Filtering, Pose Estimation Deep Learning techniques : Detection, Classification, Tracking, Siamese Networks Inverse Problems/Computational Imaging : Sparse Coding, Compressive Sensing Machine Learning : Support Vector Machines, Neural Networks Domain …/Hyper-Spectral, RF, IR, SAR, STAP The primary development environments used within the department are Matlab/Simulink and Python (including PyTorch Deep Learning libraries). What's in it for you? Every day you will work in a friendly and motivated team You will play ...

Applied Scientist II for their Alexa for Shopping Science team in Greater London. The role involves developing conversational AI systems powered by advanced machine learning and NLP techniques to enhance shopping experiences. Candidates should hold a PhD or Master's in a related field and have experience … deep learning, programming, and data mining. The team emphasizes scientific rigor and innovation to improve AI capabilities at scale. #J-18808-Ljbffr ...

full-stack shop consisting of product and portfolio leadership, data engineering, infrastructure and DevOps, data/metadata/knowledge platforms, and AI/ML and analysis platforms, all geared toward: Building a next-generation data experience for GSK's scientists, engineers, and decision-makers, increasing productivity and reducing time spent … data mechanics" Providing best-in-class AI/ML and data analysis environments to accelerate our predictive capabilities and attract top-tier talent Aggressively engineering our data at scale to unlock the value of our combined data assets and predictions in real-time Purpose of Onyx Onyx Product Management ...

over 230K sports teams across 40+ sports, including 11K+ professional teams. We’re looking for a Staff Quality Assurance Engineer to deliver AI/ML solutions at scale by providing technical quality leadership for Quality Assurance Engineers, Software Engineers and Data Scientists across the AML squads, as well … Curiosity. You continuously scout emerging technologies and best practices to ensure you and your team are being efficient with product reliability. Global mindset. Our ML team is currently spread across the U.S. and Europe, so remote collaboration skills will be part of the job. Nice-to-Haves: ML sports industry ...

Proven ability to troubleshoot complex data pipelines and platform issues Experience migrating data from diverse sources (RDBMS, SAP, Salesforce, GIS, PI Historian) Exposure to Machine Learning, Generative AI, and Agentic AI Strong … stakeholder engagement and collaboration with BI/analytics teams Nice to Have: Experience within the Energy/Utilities sector Hands-on experience with Azure ML or advanced analytics platforms Prior involvement in large-scale data transformation or data strategy programmes If you're interested in this role, click 'apply ...

renowned multinational company in the United Kingdom is looking for an Applied Scientist specializing in Generative AI and large models. This role involves developing machine learning algorithms to address complex challenges, designing experiments, and collaborating with engineers for implementation. Candidates should possess a PhD or Master … relevant field and have experience with programming and machine learning. The company offers competitive pay and immigration support. #J-18808-Ljbffr ...

Deliver clear handover documentation outlining model status, limitations and recommended next steps. Your Skills & Experience Strong experience building, maintaining and productionising data science and machine learning models. Confident working with Python … modern analytics or data science environment. Solid SQL skills and experience using transformation frameworks such as dbt. Experience working with cloud-based data and ML platforms such as Databricks. Comfortable owning existing models, improving reliability and driving stakeholder adoption. Familiarity with version control using Git. Exposure to customer analytics, retention ...

information capabilities. Desirable Skills/Experience Experience leading large‐scale data marketplaces or catalogues in highly regulated industries. Background in applying AI/ML to metadata management, knowledge graphs or intelligent search. Track record of building data products that directly enable scientific or clinical decision‐making. Familiarity with cloud‐native … outstanding and ambitious world! AstraZeneca offers the chance to combine technology leadership with meaningful impact: work with modern platforms in data, analytics, AI and machine learning; experiment with innovative approaches through hackathons and modern engineering practices; collaborate with diverse experts across science and technology; and help transform ...

Design and optimise detection, segmentation, and classification systems for real-world performance. Drive model optimisation for latency, reliability, and scalability in production systems. Integrate ML models into broader platform architecture and APIs. Establish robust testing, monitoring, and performance tracking for deployed systems. Skills & Experience Essential Strong experience with Python … production-grade software engineering. Proven experience deploying machine learning/computer vision models into production. Hands-on with OpenCV, PyTorch and/or TensorFlow. Strong understanding of image processing fundamentals. Experience with Docker and modern CI/CD workflows. Strong debugging, profiling, and systems thinking skills. Desirable Experience ...

Academy Education Network Ltd is seeking an AI/ML Engineer to build, evaluate, and deploy machine-learning systems. You will work with data preprocessing, model training, and deployment using technologies like PyTorch and TensorFlow. The role involves collaboration with key players in the UK AI landscape, focusing ...

technical leader, driving architecture decisions and shaping hybrid cloud solutions across AWS, Azure, and physical on-premise datacenters. About the role: Design AI/ML Platforms: Architect scalable end-to-end MLOps and analytics platforms leveraging AWS SageMaker and Azure Machine Learning . Drive Modernisation: Own the strategy … datacenter environments. The SAS Edge: Solid understanding of SAS 9.4 and SAS Viya platforms, with direct experience in modernization or migration strategies. AI/ML Lifecycle: Hands-on experience architecting solution platforms with SageMaker and Azure ML. Structured Frameworks: Familiarity with architecture frameworks (TOGAF or equivalent), containerization (Docker/Kubernetes ...

technical leader, driving architecture decisions and shaping hybrid cloud solutions across AWS, Azure, and physical on-premise datacenters. About the role: Design AI/ML Platforms: Architect scalable end-to-end MLOps and analytics platforms leveraging AWS SageMaker and Azure Machine Learning . Drive Modernisation: Own the strategy … datacenter environments. The SAS Edge: Solid understanding of SAS 9.4 and SAS Viya platforms, with direct experience in modernization or migration strategies. AI/ML Lifecycle: Hands-on experience architecting solution platforms with SageMaker and Azure ML. Structured Frameworks: Familiarity with architecture frameworks (TOGAF or equivalent), containerization (Docker/Kubernetes ...

Head of Machine Learning to define and lead the strategy within its Core Experience product area. The position involves managing multiple ML teams and driving impactful projects related to search, payments, and conversational AI. Candidates should have significant ML leadership experience, budget management skills, and a strong ability ...

Voleon Group is looking for a Senior Member of Research Staff and Tech Lead to apply AI and machine learning to financial market prediction. This role involves leading original research, mentoring colleagues, and defining the research agenda within a collaborative environment. You should have a Ph.D. ...

with this AI start up that is revolutionising tools that let filmmakers edit, localise, and refine performances without reshoots. About the Role The Senior ML Systems Engineer will own the full stack from data ingestion through to distributed training and production inference . Responsibilities Importantly a track record of building … ML infrastructure or data platform Strong #Python backend expertise (e.g. FastAPI or similar) and this hire will have significant ownership Data platform: #LanceDB, #DataFusion, #Arrow, Parquet, Iceberg Training infra: #PyTorch, Ray, multi-node distributed setups Inference: Triton, model ensembles, production reliability Multimodal pipelines: TB-scale video, embedding, and #metadata #datasets ...

innovation Supporting the simulation of customer behaviour to inform pricing decisions Translating technical findings into clear, actionable recommendations for stakeholders Collaborating with data scientists, machine learning engineers, and the wider analytics team Your Skills and Experience A strong academic background in Mathematics, Physics, or a related quantitative field … They Offer Competitive salary ranging from £60,000 to £80,000 depending on capability Hybrid working model with flexibility between home and office Structured learning and development with clear progression pathways Hands-on experience with real business impact from the outset A collaborative, high-performance environment focused on growth ...

traction and are now operating at enterprise scale. Their products are widely adopted across industries, with a strong focus on innovation in AI and machine learning. The environment is collaborative, product-led, and focused on delivering measurable outcomes. The Role Define and build evaluation frameworks to measure the performance … commercial experience in data science or product analytics within a product-led organisation Advanced proficiency in Python and SQL Experience working with AI or machine learning products, particularly NLP or text-based data Strong understanding of experimentation, evaluation frameworks, and statistical analysis Ability to work with large, complex ...

Structure (WBS) methodologies to guarantee on-time, high-impact deployments. 3. Organisation Leadership: Empowering, structuring, and upskilling a global technology footprint, bridging the "AI Learning Gap" across cross-functional business units. 4. Commercial Acumen: Managing complex technology investments, driving Build vs. Buy options, and proving tangible ROI indicators … environment, vision, and operational resources while collaborating closely with Business Intelligence, Marketing, and ESG/CSR units. AI Adoption: Operationalising advanced AI frameworks, ensuring machine learning models move out of sandbox environments and into live, localized exploitation. Business Continuity Planning: Securing the core business. You will insulate ...

collaborating across teams to resolve data issues in a timely and effective manner. Tool Evaluation & Implementation: Evaluate, select, and implement market-leading AI/ML automation platforms and technologies to support all data quality initiatives. Stakeholder Collaboration: Work closely alongside business stakeholders, data stewards, and IT teams to understand technical … with proven experience implementing automation and AI for data profiling, cleansing, and standardisation. Tool Proficiency: Proficiency in AI-driven data automation tools, understanding of machine learning principles, and exceptional capabilities in SQL, spreadsheets, and other data analysis tools. (Experience with Google applications is a plus). Governance & Standards ...

Engineer Key Points Competitive salary + meaningful equity package Greenfield software build with full architectural ownership Computational geometry, C++/Rust, GPU compute and machine control Hybrid in Sheffield About the Client Due to continued growth and investment, we are recruiting for a Founding Software Engineer to join … heart of a patented hardware product with global commercial potential. You'll work on challenging engineering problems spanning computational geometry, real-time processing, machine control, simulation and desktop application development. Benefits Competitive salary Meaningful equity opportunity Private healthcare Opportunity to shape architecture, tooling, and future engineering hires Exposure ...

risk, counterparty credit risk, regulatory risk capital and derivative valuation adjustments. Our solutions combine advanced analytics and technology, including a fully vectorized pricing library, machine learning, and a scalable Big Data stack, and are used by clients ranging from the largest tier-one banks to smaller specialist firms. … financial services or risk management environment. Curiosity about how financial institutions use risk analytics to support decision-making. A proactive approach to learning, including willingness to shadow, observe, and learn from experienced colleagues. Commitment to delivering high-quality work, taking ownership of tasks, and supporting the wider team. About ...

with customer data platforms (e.g., Segment, Treasure Data, Tealium, Salesforce CDP, Adobe Experience Platform). Certification in CDP technologies or related tools. Knowledge of machine learning and predictive modelling. Appreciation of marketing automation platforms (e.g., HubSpot, Marketo). Comfortable operating in matrixed organizations and comfortable being part … outstanding services we are known for. Please note that with all our roles, you should expect some in-person time for collaboration, learning and building rapport with clients, peers, leaders and communities. As an employer, we will be as flexible as possible to support your specific work/life ...

native services, and advanced DevOps tooling to deliver secure, scalable, and high-performing solutions. We work closely with partners across the Group, including Data & Machine Learning, Consumer Lending, and Cloud Services, to deliver strategic account data products and enable the next generation of banking services. We’re committed … robust monitoring, alerting, and incident response processes are in place to maintain high availability and reliability of banking services. Foster a culture of collaboration, learning, and inclusion, supporting the professional development of team members and promoting diversity in all its forms. What we’re looking for: Strong engineering background ...

experience with a proof assistant (Lean, Coq, Isabelle, or similar). Preferred qualifications 2 years of experience with compiler infrastructure (Low Level Virtual Machine (LLVM) or GNU Compiler Collection (GCC)) or programming language formalization. 1 year of experience with large language models or machine learning for code ...

travel to/around London Would you be interested in joining Google Cloud's premier AI partner, driving transformation for world-class businesses through machine learning, data engineering, and analytics? This business is Google Cloud's leading specialist in AI and data, working at the cutting edge of... ...