876 to 900 of 1,715 Machine Learning Jobs in England

united by a shared commitment to innovate for tangible impact. IDBS helps BioPharma organizations unlock the potential of AI/ML to improve the lives of patients. As a trusted long-term partner to 80% of the top 20 global BioPharma companies, IDBS delivers powerful cloud software and services specifically ...

Demonstrated experience of leading 0 to 1 product development Experience of the B2B information industry, financial market data and analytics Experience working with data, ML and GenAI Familiarity with API and web-based data delivery systems Ability to work as part of a larger team and being willing to take ...

thresholds. Combine metrics, logs, and traces to enable root cause analysis and reduce Mean Time to Resolution (MTTR). Knowledge of AIOps or ML-based anomaly detection for proactive reliability management. Collaboration Work closely with development teams to integrate reliability into application design and deployment Promote a culture of shared ...

systems Demonstrated ability to write clean, well-tested, maintainable code Bonus Familiarity with real-time data processing frameworks (Kafka, Redis Streams, etc.) Experience with ML/AI infrastructure or building tools for AI applications Previous work on developer tools, monitoring systems, or security tools Experience with infrastructure-as-code (Terraform ...

customer-first delivery). Ensure solutions are scalable, secure, and compliant with regulatory requirements within clinical research. Evaluate and integrate digital health, AI/ML, and emerging technologies to enhance clinical trial and delivery and patient experience. Continuously evaluate market trends, competitive landscape, and technology trends to ensure Fortrea maintains ...

platforms. Demonstrated ability to design and execute CRM and data strategies supporting complex analytics, reporting, and workflow automation at scale. Exposure to AI/ML tools with the ability to translate technical outputs into practical business applications for molecule tracking and lifecycle insights. Strong analytical, problem solving, communication, and stakeholder ...

experienced product manager (5+ years) who has solved complex customer-facing problems at global scale, ideally in fintech. You have experience with AI/ML-powered products - whether building conversational experiences, recommendation systems, or other AI-first features. You understand the unique challenges of shipping non-deterministic products (LLMs, evaluation ...

want to build ML models that directly drive real customer and lending decisions? Have you worked on customer prediction problems like pricing, forecasting, or segmentation? Are you ready to join a fast-paced fintech where Data Science sits at the core of the business? We’re hiring a Data Scientist … applied machine learning, owning models end to end and working closely with Product and business stakeholders. Key Responsibilities Build and deploy production ML models used in live decision-making Work on customer prediction problems including pricing, forecasting, and segmentation Develop models using Python and SQL on large-scale ...

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 ...

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 ...

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 ...