51 to 75 of 309 Machine Learning Jobs in Central London

RFPs, bids, client pitches and client events. Contributing internally through campaign development, think-tanks, whitepapers, offering development and practice growth, alongside your own funded learning, training and certifications. What You'll Bring Experience gained in a major consulting firm, or in industry with a consulting mindset comfortable … this role could be a great fit: GenAI Engineer, Generative AI Engineer, Agentic AI Engineer, AI Engineer, AI Consultant, Machine Learning Engineer, ML Engineer, Full Stack Engineer, Full Stack Developer, Python Developer, Senior Consultant Data Science, Data Scientist, Solutions Architect AI, LLM Engineer, MLOps Engineer, AI Software Engineer ...

hiring in Miami, London and Milan. Description -- Role: expected to contribute to production grade proprietary trading systems, deploy state of the art AI/ML, develop novel AI/ML models, experiment with and develop novel trading ideas, explore new datasets. -- Required: experience training ML models end to end (from … data processing to fine tuning), experience training across transformers/generative models/RL, publications in either top tier ML conferences (e.g., NeurIPS, ICLR, ICML, JMLR, etc.) or top scientific journals, top tier institutions/industry experiences. -- Positives but not requirement: PhD. Reference: AMC/AHU/NW/SPH001 ...

needs. You will also influence senior stakeholders, shape roadmaps, and drive measurable outcomes across the organisation. Responsibilities Set AI and data science strategy across ML, NLP, search, recommendation, experimentation, and generative AI, aligning work to product goals, customer needs, and business priorities. Lead and develop high-performing teams by coaching … cross-functional leaders, shaping roadmaps, translating technical insights, and aligning teams on customer and business impact. Requirements Significant experience in data science, AI/ML, NLP, information retrieval, statistics, or a related quantitative field, or equivalent practical experience. Excellent technical expertise across modern data science methods, including machine learning ...

seeking a Senior Machine Learning Scientist You'll play a key part in designing, building, deploying, and operating production-grade AI services (ML and/or GenAI) that are secure, scalable, and reusable across Wholesale use cases In this role you'll: Design, build, deploy, and operate production … grade AI services (ML and/or GenAI) that are secure, scalable, and reusable across Wholesale use cases Productionise PoC/PoV work into hardened solutions with clear non-functional requirements (performance, resilience, cost, security) and defined service ownership Build and maintain MLOps/LLMOps pipelines (CI/CD, automated ...

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 ...

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 ...

scientific discovery, ensuring safety and ethics are always our highest priority. We are pushing the boundaries across multiple domains. Our global teams offer diverse learning opportunities and varied career pathways for those driven to achieve exceptional results through collective effort. Individual pay is determined by factors including job-related … Bachelor's degree in Computer Science, Mathematics, Physics, a related quantitative field, or equivalent practical experience. 4 years of experience building, scaling, and debugging machine learning models using deep learning frameworks (e.g., JAX, PyTorch, or TensorFlow). Experience in one core area: Reinforcement Learning (RL), Post ...

technical direction for the team's deliverables. Design, develop and implement highly scalable and efficient data pipelines using advanced Python (Pandas, web scraping and machine learning libraries), SQL (including advanced optimisation techniques) and Apache Airflow. Lead the extraction, transformation and loading (ETL) of large and complex datasets, including … within a trading or financial services environment. In-depth expertise in Python (Pandas, web scraping libraries such as Selenium, Beautiful Soup and Requests, and machine learning libraries such as TensorFlow and PyTorch). Generative AI techniques including agents, skills, prompt engineering, RAG, AI SDLC, context engineering and evaluations. ...

procurement or operational processes, sufficient to engage credibly with operational leaders and translate AI capability into value. Technical depth: Experience with modern AI and ML platforms such as PyTorch, TensorFlow, Azure ML and AWS SageMaker, data architecture and pipelines, and integration with OT, SCADA or ERP systems. Familiarity with NVIDIA … concepts to non‐technical senior audiences. A relevant degree in Computer Science, Engineering, Mathematics, Data Science or equivalent; advanced qualifications or recognised AI and ML credentials are an advantage. About Accenture Accenture is a leading global professional services company that helps the world’s leading businesses, governments and other organizations ...

notebooks, clusters); Azure Machine Learning models and endpoints; Power BI dashboards and dataset refreshes. Monitor and troubleshoot failures in pipelines, jobs, and ML workflows using Azure Monitor, Log Analytics, and custom alerting. DevOps & Automation Maintain CI/CD pipelines using Azure DevOps, GitHub Actions, etc., for ADF, Databricks … ML model deployments. Develop automation scripts in Python, PowerShell, or Bash to reduce manual intervention and improve service reliability. SQL and Data Warehouse Operations Write, optimize, and troubleshoot SQL queries for data validation, root cause analysis, and report troubleshooting. Support and maintain data warehouse environments such as Azure Synapse Analytics ...

About our Team Data Science Life Sciences is a diverse team focusing on GenAI, ML, NLP. We mainly develop best-in-class enrichment pipelines for Elsevier’s life science .com products such as Reaxys, Embase and Pharmapendium. About the Role As Principal Data Scientist (AI/NLP & Generative … involvement will be occasional, on high priority or high risk work. Responsibilities Technical Direction & Oversight Set technical direction and architectural standards for AI/ML, NLP, and generative AI solutions across teams, including LLM powered workflows, RAG systems, retrieval, ranking, and recommendation capabilities. Guide how scientific metadata, ontologies, taxonomies ...

Lecturer in Optimisation/Machine Learning, Queen Mary University of London, UK Applications are invited for a Lectureship in Optimisation and Machine Learning. We are seeking to appoint an outstanding candidate with a track record of applying rigorous research methods to address real-world problems. They will ...

visualisation choices without building dashboards or reports. AI-Ready Data - Make sure data platforms provide the quality, context, access and governance that AI and machine learning need. Work with the Principal AI Architect on AI use cases that depend on the data foundation. Security, Observability & FinOps by Design … technical relationships with data platform partners to stay current on roadmaps and capabilities, while using that knowledge as an independent advisor to customers. Continuous Learning & Accreditation - Keep expert knowledge up to date through hands‐on lab time, research and training. Maintain relevant accreditations in at least one core data ...

scientific discovery, ensuring safety and ethics are always our highest priority. We are pushing the boundaries across multiple domains. Our global teams offer varied learning opportunities and varied career pathways for those driven to achieve exceptional results through collective … effort. Minimum qualifications: Master's degree in computer science, mathematics, applied statistics, machine learning or equivalent practical experience. Experience of TensorFlow or ML frameworks (e.g. JAX or PyTorch). Experience working in industry, working on projects from proof-of-concept through to implementation. Experience with training diffusion models. ...

diagrams to explain a data processing system on a cloud environment. Some knowledge of how you would present diagrams (C4, UML, etc.) Enthusiasm for learning and self‐development. You have experience of working on agile delivery‐lead projects and can apply agile practices such as Scrum, XP, Kanban. … engineers using a variety of techniques such as pair programming or mob programming. Working with data scientists to productionise advanced data deliverables, such as machine learning models Working knowledge of statistics Working with multidisciplinary digital and technology teams Working within the public sector Working with data scientists ...

research-driven trading firm leveraging machine learning to advance its trading capabilities. We seek a Machine Learning Engineer to build large-scale training and real-time inference pipelines, collaborate with … researchers and HPC specialists, and push the performance of GPU-accelerated systems. You will work on distributed training, low-latency inference, and open-source ML tool integration to drive faster experimentation and real-time decision making in trading environments. #J-18808-Ljbffr ...

data assets, ensuring they meet the requirements of scalable, transformation-facing analytics. Contribute to data assets and pipelines that are structured to support AI, machine learning, and agentic workflows - increasingly the default mode of delivery rather than a side project. Monitor and optimise the performance of data models … with data pipeline concepts, transformation logic, and ETL/ELT processes. Working understanding of how data assets are structured and prepared to support AI, machine learning, and agentic use cases - this is now a core expectation of the role, not a nice-to-have. Comfortable translating business logic ...

direction Working with cloud-native infrastructure and containerised applications Applying strong analytical and mathematical thinking to engineering problems Working alongside teams using AI and machine learning within the wider technology environment Technology Python | Java | GCP | Docker | REST APIs | Distributed Systems | Event-Driven Architecture | Streaming | Real-Time Data | AI/ML What We're Looking For We're looking for engineers with strong backend foundations who have worked on technically demanding systems where speed, reliability ...

decisions. Succeed Together. We have each other's backs. The Role This is applied data science. You will use advanced analytics and machine learning to understand our customers better and solve problems that genuinely matter to the business, working with customer, booking, digital, marketing and behavioural data. … into structured analytical problems and testable hypotheses. Explore complex behavioural and transactional data to find what others have missed. Develop and evaluate statistical and machine learning models. Build segmentation, propensity, forecasting and personalisation solutions that reach real customers. Apply rigour to feature engineering, validation and model performance. Design ...

beneath enterprise performance management. You'll shape how EPM platforms stitch together with the modern data platforms finance now runs on, and how machine learning and generative AI make planning and forecasting sharper, faster and more trusted. You'll build real credibility across both finance planning … including predictive forecasting and generative or agentic use cases; familiarity with SQL, APIs and modern data‐integration technologies, and some exposure to Python or ML platforms (deep engineering isn’t required); relevant EPM, cloud‐data or AI certifications; and a professional finance or accounting qualification (ACA, ACCA, CIMA or equivalent ...

data analysis and modelling tools such as Python, R, SQL, MATLAB, Power BI, Tableau or equivalent platforms. Experience developing or utilising data-driven models, machine learning tools, digital twins, predictive maintenance applications or engineering analytics solutions. Ability to interrogate, manipulate and interpret large operational and engineering datasets … ammonia, carbon capture, sustainable chemicals or energy transition projects. Experience developing AI-enabled engineering or risk management solutions, including the use of generative AI, machine learning or advanced analytics within industrial environments. Second language, particularly Arabic, German, Spanish, Mandarin or French. Business development, client relationship management or market ...

York. In this role, you'll make an impact in the following ways: Design, build and deliver enterprise-grade AI-driven solutions, including machine learning and generative AI capabilities, to solve meaningful business problems and accelerate innovation. Work closely with Product, Sales, Trading and Operations stakeholders to translate … successful in this role, we're seeking the following: Strong experience designing, building and delivering scalable technology solutions in Enterprise environments. Experience in machine learning or generative AI use cases, with the ability to apply these technologies to meaningful business problems. Strong understanding ...

semantic models, self-service analytics enablement and reporting rationalisation. Applied AI – Microsoft 365 Copilot, Copilot Studio and agents, Azure AI/OpenAI services, machine learning use‐case discovery, pilot and scale programmes. AI governance and responsible AI – policy, guardrails, risk, and alignment to UK regulatory expectations (UK GDPR … agentic AI. Knowledge of applied AI and its commercial application – Microsoft 365 Copilot, Copilot Studio/agents, Azure AI and OpenAI services, and machine learning use cases. Working knowledge of the UK regulatory and compliance environment as it applies to data and AI – UK GDPR and the Data ...

data governance and privacy; transparency and explainability; and accountability. A key aspect of the role is translating these principles into practical guidance, governance frameworks, learning programmes and deployment standards, helping build a shared understanding of what Responsible AI means for AVEVA, our customers and our stakeholders. Responsible deployment … processes that product and engineering teams can adopt. You will partner closely with our Product, Enterprise IT, Security, Sustainability, Legal, Risk and Talent and Learning teams, while remaining accountable for responsible deployment in policy design, stakeholder engagement, and enterprise learning enablement. Key Responsibilities Responsible AI Governance, Operationalisation & Enablement ...

ahead in a fast moving market. What you'll do: Lead the development and maintenance of predictive models (GLMs) and price optimisation techniques, including machine learning algorithms (GBM), Lifetime Value models (LTV), and fair pricing principles. Provide technical leadership on WTW Radar and Emblem, driving effective and efficient … continuous improvement. What we're looking for: Previous experience in general insurance pricing. Strong technical expertise in predictive modelling techniques (e.g. GLMs and machine learning models). Proficiency in programming languages such as R, Python, PySpark, SAS, or SQL. Good knowledge of Azure Databricks and modern data technologies. ...