1,701 to 1,725 of 5,364 Machine Learning Jobs in the UK

projects, including supporting other Data Analysts and Scientists and collaborating with software engineers towards the best solution. You will have a focus on developing ML-centric data products and solutions, in which your expertise with ML frameworks and workflows will be key.Right now, our Data Scientists are working on several … expect applicants to have experience with all of these):Python and Databricks for Data Science, Spark, MLFlow and Airflow for ML Workflows, Google Cloud Platform for our analytics infrastructure, dbt and BigQuery for data modelling and warehousing.Discover more about our Analytics Community in our blog and explore ...

dynamic and passionate compact team dedicated to creating a SaaS solution to boost eCommerce revenue. We are selected as one of the 25 Machine Learning Startups to Watch by Forbes magazine. We are one of the fastest growing start-ups in AI based e-commerce solutions with multiple … object-oriented fashion Experience designing fault-tolerant, multi-region deployments in cloud environments is a plus Familiarity with recommendation algorithms, ranking, personalization, or ML integration into production microservices Hands-on with Solr/Elasticsearch/OpenSearch for large-scale product search is a plus Strong knowledge and focus on observability ...

supports various business functions across our Product teams and within Pricing and Claims. Working across the full spectrum of data science problems, from traditional machine learning for risk-based decisioning through to generative AI and the automation of complex operational journeys, all within a regulated insurtech/fintech … from you Must have: Excellent leadership and team management skills. A strong background as a senior data science individual contributor, with commercial experience delivering ML solutions end to end Proven ability to influence technical direction across Data Science and Engineering, including shaping scalable model/service integration patterns and challenging ...

Scam Prevention TeamThe Scam Prevention team is on the front lines, dedicated to safeguarding our platform against sophisticated financial crime. We leverage cutting-edge machine learning, real-time transaction monitoring, and advanced data analysis to create robust controls and detection capabilities. Our vision is to build a globally … concepts across teams (Product, Data Science, Investigations).Nice to Have:Familiarity with the machine learning lifecycle (data pipelines, feature engineering, and deploying ML systems into production).Interested? Find out more:How we work – a practical guideDEI @ WiseWise Tech Stack (2025 update)See what it's like to work ...

evaluation , implementing rigorous frameworks to continuously monitor, measure, and improve GenAI feature quality, accuracy, latency, and user satisfaction. , Collaborate with data scientists to productionise ML models and forecasting algorithms Your Skills Extensive background in Data Science Engineering, with a clear track record of principal‐level technical leadership. Hands‐on experience … building and shipping AI/ML products in production Deep practical experience with LLM‐based systems: RAG architectures, embedding pipelines, prompt and response logging, evaluation frameworks. Hands‐on expertise with vector databases, graph databases, and knowledge graphs End‐to‐end exposure in model lifecycle development, including extensive experience training ...

Integrity Team The Account Integrity team is on the front lines, dedicated to safeguarding our platform against sophisticated financial crime. We leverage cutting-edge machine learning, real-time transaction monitoring, and advanced data analysis to create robust controls and detection capabilities. Our vision is to build a globally … across teams (Product, Data Science, Investigations). Nice to Have: Familiarity with the machine learning lifecycle (data pipelines, feature engineering, and deploying ML systems into production). Interested? Find out more: How we work – a practical guide DEI @ Wise Wise Tech Stack (2025 update) See what ...

leader to define and execute our global Applied AI strategy. You will sit at the intersection of business strategy, engineering, data architecture, AI/ML and enterprise risk management, with accountability for turning AI from isolated experimentation into a scalable, controlled and commercially valuable capability across the group. … What you offer Press space or enter keys to toggle section visibility Significant experience in senior technical leadership roles across software engineering, data architecture, machine learning, applied AI, AI platform engineering or related disciplines. Deep understanding of distributed systems, enterprise data architecture, cloud platforms, application programming interfaces ...

post-graduation engineering experience, with demonstrated proficiency in languages such as Python, TypeScript/JavaScript, Java, or C++.2+ years of experience applying AI/ML in production environments, such as deploying deep learning solutions, building generative/agentic AI applications or setting up evaluations pipelinesFamiliarity with cloud-based machine learning tools and platforms (e.g. AWS, GCP, Azure)Strong problem-solving skills, with a data-driven approach to iterating on machine learning models and datasetsExcellent written and verbal communication skills to collaborate effectively in a cross-functional environmentNice to haves:Experience working at a startup, particularly ...

data-driven platforms. Familiarity with cloud infrastructure (Azure, AWS, GCP). Experience working in scale-up environments with evolving priorities. Exposure to ML/AI systems or knowledge-based platforms Benefits of joining us Cutting-Edge Technology: Work with modern AI, from machine learning models to agentic systems … prioritize productivity and work-life balance Real-World Impact: Build AI systems that accelerate global technological innovation Continuous Learning: Opportunities to grow in ML engineering, product design, and systems architecture Hybrid Working: 2-3 days per week from our Shoreditch Please note During periods where we receive very high ...

foster external collaborations with academic and industrial partners Follow scientific and technical standards for experimentation, reproducibility, and model evaluation Collaborate deeply with Engineering, ML Platform, and HPC teams to deliver robust and reliable model updates to users Qualities we look for We’re looking for a scientist with a deep … Python and at least one modern machine learning framework such as PyTorch, TensorFlow, or JAX, experience working with large compute clusters and ML infrastructure is a plus. A track record of leading self-directed research projects that go well beyond academic exercises and deliver tangible results. Expertise ...

Software or Data Engineer with at least two years commercial experience in a broad range of technologies and a demonstratable passion for AI/ML innovation who is looking for a truly collaborative, autonomous working environment with end to end project exposure. In return this Software AI Engineer can expect … wants to join a market leading business with innovation at its core please apply now to be considered Software AI Engineer Remote AI, machine learning, LLM, Python, PyTorch, Azure ...

worldwide.The OpportunityThe Data Science team is growing at 9fin! We are doing world-class work with groundbreaking technologies to build data-driven products using machine learning, computer vision, natural language processing, speech and audio, and knowledge/data mining. We are looking for a Senior AI Engineer … rankers.Entity/relationship extraction/resolutionKnowledge Graphs; building and inference, graphRAGRecommendation systems and ranking: personalisation, learning-to-rank, feed ranking, user modelling, etc.Tabular ML: feature engineering, structured data modelling (GBDTs, etc.)Statistical & Predictive Modelling: supervised ML, anomaly detection, temporal modelling, etc.Deep understanding of the GenAI landscape and agentic frameworks.Experience ...

production deploymentBuild and foster external collaborations with academic and industrial partnersFollow scientific and technical standards for experimentation, reproducibility, and model evaluationCollaborate deeply with Engineering, ML Platform, and HPC teams to deliver robust and reliable model updates to usersQualities we look forWe’re looking for a scientist with a deep technical … Python and at least one modern machine learning framework such as PyTorch, TensorFlow, or JAX, experience working with large compute clusters and ML infrastructure is a plus.A track record of leading self-directed research projects that go well beyond academic exercises and deliver tangible results.Expertise in deep reinforcement ...

that require co‐creation with clients.Develop compelling narratives around IQVIA’s newest AI solutions and systems.Project Leadership & DeliveryDesign and oversee delivery of AI/ML projects involving clinical development simulation, RWD, trial data, omics, and other structured/unstructured sources.Manage cross‐functional teams to ensure high‐quality, on‐time delivery … high‐performance AI solutions using state‐of‐the‐art platforms.Lead multidisciplinary teams combining industry, technical, and functional expertise.Guide development of AI strategy roadmaps, PoCs, ML pipelines, and deployment strategies.Collaborate with external technology partners for successful delivery.Practice BuildingShape and scale a new AI Life Sciences practice, including defining offerings and mentoring ...

innovation. The Chief Data and Analytics Office is responsible for building enterprise-scale, cutting-edge platforms for Data Management & Analytics and AI/ML Operations that are used firm-wide by the JPMC workforce for Artificial Intelligence (including generative AI)/Machine Learning (AI/ML) development ...

path forward requires investigation and iteration.Learning agility: Demonstrated ability and motivation to learn new domains, standards quickly and apply them pragmatically (including learning clinical study conventions and data standards as needed).Standardization mindset: Ability to propose consistent definitions and mappings across heterogeneous datasets, balancing practicality, traceability, and reuse.Python … content work enormously.Machine learning/AI/agentic tooling exposure: Familiarity with machine learning fundamentals, and/or experience supporting ML/AI use cases.Experience exploring LLM-based tooling, including agents is beneficial, especially when applied to documentation, metadata, and analytics workflows.Preferred QualificationsPostgraduate qualification in Biological Sciences ...

learning, recommender systems, and LLM-powered conversational AI to deliver deeply personalised product and outfit recommendations.Design, develop, and productionise end-to-end ML and GenAI systems, including retrieval, ranking, and LLM-based components powering conversational experiencesDesign and develop frameworks for evaluating LLM outputs (e.g. relevance, grounding, safety … Contribute to best practices in model development, deployment, and monitoring across the team.Who you areYour skills and experience will includeProven track record of owning ML/AI problems end-to-end — from framing and modelling through to production deployment, monitoring, and continuous improvement — delivering measurable business impact.Applies strong software engineering ...

with clients.* Develop compelling narratives around IQVIA’s newest AI solutions and systems.### ### **Project Leadership & Delivery*** Design and oversee delivery of AI/ML projects involving clinical development simulation, RWD, trial data, omics, and other structured/unstructured sources.* Manage cross‐functional teams to ensure high‐quality, on‐time … solutions using state‐of‐the‐art platforms.* Lead multidisciplinary teams combining industry, technical, and functional expertise.* Guide development of AI strategy roadmaps, PoCs, ML pipelines, and deployment strategies.* Collaborate with external technology partners for successful delivery.### ### **Practice Building*** Shape and scale a new AI Life Sciences practice, including defining ...

ways of working for data architecture, DataOps, and governance. Ensure data models, pipelines, and storage systems support both product needs and advanced analytics/ML use cases. Bridge Data Science & Cloud Engineering Act as the primary interface between data science and cloud engineering teams. Translate analytical and ML needs into … design patterns pragmatically, appropriate to a small but growing company. Design data flows and lifecycle management from ingestion to consumption. Enable Advanced Analytics & ML Partner with the data science and software development teams to establish strong MLOps and DataOps practices. Support geospatial and large‐scale analytical workloads. Ensure data ...

toolboxes, automation scripts, and spatial data pipelines for ArcGIS Pro, ArcGIS Enterprise, and SDE environments.Integrate deep learning frameworks (e.g. PyTorch or TensorFlow) and ML libraries (such as scikit-learn or Hugging Face) into geospatial workflows to solve client-specific problems at scale.Lead technical delivery on GeoAI project workstreams across … with a clear focus on Python development and automation.Strong Python skills: ArcPy, ArcGIS API for Python, geopandas, shapely, rasterio, GDAL.Practical experience applying AI/ML to geospatial problems (e.g. object detection, image classification, feature extraction, or spatial prediction).Working knowledge of at least one deep learning framework (PyTorch ...

Senior Data Scientist Hybrid - Leicester (1x day a week) £75,000 - £85,000 + bonus Looking to apply advanced machine learning in a highly commercial environment? This is an opportunity to join a data-driven organisation where analytics sits at the heart of strategic decision-making. … work on innovative pricing and risk modelling challenges, helping shape how data and machine learning drive business performance. The Company They are a well-established consumer-focused organisation with a strong investment in data, analytics, and technology. Their data science function plays a critical role in driving commercial ...

depth knowledge of their discipline and area best practices to effectively resolve problems and roadblocks as they occur. Designs, develops, and reviews scalable machine learning models and statistical solutions to address complex business challenges, ensuring alignment with organizational standards. Refines … optimizes models through advanced feature engineering, hyperparameter tuning, and validation to ensure high performance and robustness. Collaborates with cross-functional teams, including AI/ML Engineering, to support model deployment, scaling, and operationalization. Provides technical guidance and mentorship to junior team members, reviewing their work for quality and best practices. ...

Lead Data Engineer - Fully Remote (UK) - AWS - AI & Machine Learning - Up to £110,000 Are you a Senior Data Engineer looking for the opportunity to own a data function rather than simply contribute to one? We're working with a high-growth technology business that is scaling rapidly … investing heavily in its data, analytics and AI capabilities. The organisation develops cutting-edge products that combine data, machine learning and AI to help global enterprise clients make better decisions through intelligent, evidence-driven insights. This is an opportunity to join at a pivotal stage of growth, taking ...

this role, you will work on AI projects and play a crucial part in developing and refining our product. If you are passionate about machine learning, have a background generative AI and natural language processing, and thrive in a collaborative and high-impact environment, we'd love … about our vision: Agentic AI for Data AnalysisRequirementsMS or Ph.D. in Computer Science, Mathematics, or a related fieldStrong programming skills in Python, and relevant ML and GenAI libraries (e.g., langchain, langgraph, TensorFlow, PyTorch, scikit-learn)Hands-on experience evaluating pre-trained models, and fine tuning or training modelsExperience ...

strategic and operational objectives.The Director will bring deep expertise in SAP data and analytics technologies, enterprise data management, cloud platforms, reporting architecture, AI/ML enablement, and digital innovation while driving standardization, governance, and business value realization.This position reports to the Senior Director, ERP Technology & Operations.Key ResponsibilitiesEnterprise Data & Analytics StrategyDefine … controls and regulatory requirements.Collaborate with Cyber Security and Enterprise Architecture teams to implement secure and compliant solutions.Innovation, AI & Continuous ImprovementIdentify opportunities to leverage AI, machine learning, intelligent automation, and advanced analytics.Drive innovation programs utilizing SAP Joule, Business AI, predictive analytics, and generative AI technologies.Foster a culture of innovation ...