26 to 50 of 189 Machine Learning Jobs in the City of London

client is a global legal and business information company. Machine Learning Engineering Lead … passionate about designing and deploying intelligent machine learning solutions that drive business impact? Do you enjoy leading teams, building scalable ML systems, and turning complex data into innovative products and services? About the team: We are a software engineering team responsible for de click apply for full ...

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 projectand workbothindependently and in a team. Smart, motivated, can do attitude, and seeks to make a difference. Excellent ...

design and validation of Agentic AI-driven product capabilities within Protégé in PatentSight. This role focuses on defining what to build and why, leveraging machine learning, NLP, and large language models (LLMs) to solve complex Intellectual Property (IP) workflows. You will help drive experimentation, modeling, and evaluation, partnering … align solutions with user needs. Requirements: Degree in a quantitative or technical field (Statistics, Computer Science, Mathematics, Data Science, etc.). Strong experience in machine learning, NLP, and LLM-based modeling. Strong experience designing and running experiments, including model evaluation and iteration. Strong coding skills in Python. Experience ...

design and validation of Agentic AI-driven product capabilities within Protégé in PatentSight. This role focuses on defining what to build and why, leveraging machine learning, NLP, and large language models (LLMs) to solve complex Intellectual Property (IP) workflows. You will help drive experimentation, modeling, and evaluation, partnering … align solutions with user needs. Requirements: Degree in a quantitative or technical field (Statistics, Computer Science, Mathematics, Data Science, etc.). Strong experience in machine learning, NLP, and LLM-based modeling. Strong experience designing and running experiments, including model evaluation and iteration. Strong coding skills in Python. Experience ...

ensure teams have the resources and organisational support required to deliver. The position is particularly well suited to someone coming from AI/ML research, research engineering, technical project management or technical program management who wants to move closer to project/program leadership. What you’ll be doing Coordinate … translated into execution. It could also be an excellent career move for a technically strong Master’s/PhD graduate, research engineer or ML professional looking to move from pure research or engineering into project, program or product management without losing their connection to AI. #J-18808-Ljbffr ...

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 ...

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 ...

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 ...

Creative Technology Developer (AI/ML Focus) Molinare Creative Group has over 50 years of experience, providing creative excellence to the film, TV, games, and commercial communities. The Molinare Creative Group is home to Notorious DIT, Molinare TV & Film, Sound Warriors, Elephant Goldfish and Pip Studios. Together we provide … operational efficiency. This position is ideal for arecent MA graduateor early-career technologist with strong academic grounding inArtificial Intelligence (AI),Machine Learning (ML), andmodern software development techniques. The role will work across Film, TV, Games, and Ads to turn small problems into creative solutions. Sittingoutside the core development ...

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 ...

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 ...

Crick Institute in London is recruiting a Machine Learning Software Engineer to join the Software Engineering and AI team. You will develop ML-powered biomedical software, collaborating closely with researchers and technical specialists to accelerate discovery and deliver scalable applications. You will design, implement, and deploy solutions … complex biological challenges, applying your ML expertise and engineering practices to ensure reliability and reproducibility across #J-18808-Ljbffr ...

Global Markets Rates, Flow Credit, Commodities and Emerging Markets Debt Trading business. The key focus of this role is to work with internal Machine Learning platforms and tools and seek opportunities to improve processes and systems using Machine Learning. The initial focus will be on improving trade … plus). Good programming skills, utilising programming languages primarily C++. Python, Lua and SQL is a plus. Good numeracy skills, ideally in Machine Learning, but as a minimum A level maths. Excellent interpersonal and communication skills, with the ability to effectively collaborate and provide support across various teams. ...

support of The Core enables a common platform model and operating framework that promotes consistent governance and scalable solutions, leveraging cloud, AI, and machine learning for innovation and efficiency. The Core Engineering’s 2,000+ engineers and strats deliver engineering, data, analytics, and quantitative capabilities within six business … technology risk FUNCTIONALITY DESCRIPTION Developing risk models and risk sensitivity analysis that use advanced mathematical/statistical/engineering approaches such as optimization, machine learning, regressions, visualization Performing detailed analysis on risk trends and drivers Updating and maintaining risk models along with business growth and risk environment changes ...

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 ...

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 ...

fast-paced, high-performance, highly collaborative environment and demonstrate an ability to execute precisely and quickly. Candidates should possess technical fluency in AI, machine learning, operations research, physics, math, engineering, data integration, or computer science. Responsibilities Consult with global 1000 customers to help them understand, structure, and implement … experience. A strong network that can be leveraged for accelerated access into potential buyers within large enterprises. Experience with and understanding of AI and Machine Learning is highly favorable. Experience with generative AI tools such as Claude. Work experience in consulting, defense, intelligence, manufacturing, supply chain, healthcare ...

scalable systems used in systematic trading environments. This role offers the opportunity to work on a broad range of challenges spanning quantitative research infrastructure, machine learning platforms, market data systems, backtesting frameworks, execution technology and real-time analytics. Responsibilities Design, build and enhance the quantitative trading platform used … systematic investment strategies and quantitative research methodologies. Ability to review, optimise and productionise research code while understanding the underlying investment rationale. Experience deploying machine learning models and supporting end‐to‐end production workflows. Exposure to AI tooling, LLM‐based workflows, or the development of AI‐enabled solutions. #J ...

high-trust, delivery-focused environment where technical quality, judgement and real-world impact are valued. The team operates collaboratively, sharing knowledge and learning through delivery rather than theory alone. You will be trusted to manage your own work, engage directly with customers and stakeholders, and take responsibility for outcomes. … engagement - Work directly with users and customers to understand real-world needs and translate them into well-defined AI problems - Apply modern AI and machine learning techniques using strong Python engineering skills - Build solutions that can operate in secure, constrained or offline environments without reliance on external services ...

full-time permanent Lecturer/Senior Lecturer (equiv Assistant/Associate Professor) in Artificial Intelligence/Machine Learning/Data Science/Statistics at Imperial College London Oct 30, 2023 I am excited to announce that Imperial College London invites applications for one full-time permanent faculty member … College’s Imperial-X (I-X) initiative. Imperial-X brings academia and industry together to tackle the world’s greatest challenges using machine learning, and throwing out the rule book for the university. Imperial College London is a world-leading university whose reputation for excellence in research ...

Lecturer/Senior Lecturer (Assistant/Associate Professor) Positions at Imperial College London in Artificial Intelligence/Machine Learning/Data Science/Digital Technologies Jan 5, 2022 With first deadline on the 17th of January and final deadline on the 28th of February, Imperial College London invites … part of the College’s flagship I-X initiative, which is a new collaborative environment for research, education, and entrepreneurship across artificial intelligence, machine learning, data science, statistics, and digital technologies. The goal of I-X is to realise new models for research, education, and entrepreneurship that ...

relevant backgrounds may include: Fixed Income/Credit Quantitative Analyst Fixed Income/Credit Quantitative Developer Fixed Income/Credit Data Engineer/Machine Learning SME Fixed Income/Credit Research Analyst Fixed Income/Credit Portfolio Manager Investment Technology, or Front Office Strategy Specialist within a Hedge … technologies. Key Requirements Strong understanding of Fixed Income and/or Credit products and investment processes. Hands-on exposure to AI, machine learning, data engineering or workflow automation. Strong analytical, numerical and problem-solving capabilities. Experience building or working with custom GPTs, AI assistants, connectors or AI-enabled ...