1 to 25 of 74 Machine Learning Jobs in the City of London

Learning Engineer to join a world-leading AI technology company developing cutting-edge software solutions. This is an ideal opportunity for an ML Engineer who has a strong academic background and experience working with LLM technologies. You will work alongside Software Engineers, Machine Learning specialists … Learning Engineer/Machine Learning Engineer/AI Engineer/Applied AI Engineer/Generative AI Engineer/LLM Engineer/ML Software Engineer/AI Software Engineer/Machine Learning Software Engineer/ML Infrastructure Engineer/Model Deployment Engineer/AI Integration Engineer ...

seeking a Principal Research Scientist to help define and accelerate our long‐term machine learning research agenda. Prior finance experience is not required. The Role This role is designed for an established academic researcher or research scientist who wants to remain connected to the frontier of machine … learning community. Responsibilities Shape the long‐term machine learning research agenda within Systematic Equities. Identify and translate advances from frontier ML research into practical opportunities. Conduct original research and develop proof‐of‐concept solutions where appropriate. Advise and mentor quantitative researchers on methodology, experimentation and research ...

engaging closely with both technical and non-technical stakeholders. Delivery is supported by a strong technical assurance and review culture, encouraging challenge, learning and high standards. You will work within security, compliance and governance constraints where quality and judgement matter as much as pace. What You'll Be Doing … learning models Experience evaluating models through quantitative evidence and structured experimentation Strong software engineering practices, producing readable, testable and maintainable code Experience integrating ML solutions into production systems and workflows Feels confident working in secure, regulated or high-assurance environments In Return You'll work on genuinely challenging machine ...

will be an integral member of a collaborative multi-asset trading team. You’ll work on high-impact machine learning (ML) and artificial intelligence (AI) initiatives that are central to our business strategy. In this role, you will build critical infrastructure and tooling that leverages AI and ML … systems for continuous training, validation, and monitoring of models, minimizing downtime and ensuring reliability. Provide technical leadership in selecting, integrating, and optimizing AI and ML frameworks, libraries, and tools across diverse hardware and software environments. Create and maintain feature pipelines, feature stores, and model stores. Develop frameworks to enable scalable ...

available £45k to £95k DoE plus 15% clearance bonus Must be willing to be full-time on-site in Central London Skills required in machine learning, GenAI, NLP, Customer Engagement/Consultancy Who are we? We are recruiting Junior, Senior and Lead Data Scientists with AI specialism … look forward to hearing from you. KEY SKILLS: Data Science/Data Scientist/AI Engineer/AI/Machine Learning/ML/NLP/GenAI/Stakeholder Engagement/Customer Engagement/AWS/Azure/Cloud/Docker/Kubernetes/CI/CD/ ...

Machine Learning Engineer A fantastic opportunity for a Machine Learning Engineer to join a world-leading AI technology company developing cutting-edge software solutions. This is an ideal opportunity for an ML Engineer who has a strong academic background and experience working with LLM technologies. You will work alongside Software Engineers, Machine Learning specialists ...

/ML Engineer Up to £82,000 + Bonus + Outstanding Benefits + London/Hybrid If you're an AI Engineer who wants to build production AI solutions rather than endless proof of concepts, this is an opportunity to help shape how enterprise AI is adopted across a global …/LLMOps including deployment, monitoring, governance and lifecycle management. RAG, vector databases, prompt engineering and tool-calling patterns. Building end-to-end AI/ML pipelines from data preparation through to production. Working with technical and business stakeholders to deliver AI solutions. Desirable experience includes MLflow, MCP, Docker, Kubernetes, GitLab ...

Overview The Applied Innovation (of AI) Engineering team is an elite machine learning group strategically located within the Chief Data Analytics Office (CDAO) Technology group of JPMorgan Chase. AI Engineering tackles business critical priorities using innovative machine learning techniques and technologies with a focus on machine learning for Software, Cybersecurity and Technology Infrastructure. The team partners closely with all lines of business and engineering teams across the firm to execute long-term projects in these areas that require significant machine learning development to support JPMorgan Chase businesses as they grow. Responsibilities Collaborates ...

Group Functions, Retail and Investment Banking. On behalf of this organisation, AMS are looking for a Business/Data Analyst with strong experience in machine learning system implementation, for a 6 month contract (with potential for extension) based in the London office (hybrid model, 2 days a week … Business/Data Analyst will support the implementation of our client's transaction monitoring system from a legacy rules-based environment to a Machine Learning-driven AML platform. This role sits within the Product team and will play a key role in defining requirements, supporting model development ...

high bar of technical excellence, takes ownership of both data systems and data quality outcomes, and uses modern technologies including AI and machine learning to enhance data workflows and extract additional value from our datasets. We'll trust you to: Build and maintain highly scalable, resilient and observable … needs into engineering‐ready requirements and scalable technical solutions. Partner with Engineering on platform evolution, architecture, tooling, system design, and reliability. Apply automation, AI, machine learning, or statistical techniques to improve ingestion, enrichment, validation, and monitoring. Own data migrations, workflow redesigns, and technical transformation initiatives. Establish standard methodologies ...

senior technical guide to ensure pay models are rigorous, auditable, mathematically consistent, and free from unintended bias. MLE Collaboration: Partner closely with Machine Learning Engineers to ensure smooth, robust deployment and scaling of production-ready models. Causal Experimentation: Lead the design and execution of complex marketplace experiments … leadership and people management, with a demonstrated ability to mentor, guide, and develop Data Scientists. Prior hands‐on experience developing, deploying, and maintaining machine learning models in a corporate environment. Advanced conceptual proficiency in data science and machine learning methodologies, ideally with experience in logistics, geospatial ...

working across the full lifecycle from data exploration through to model development validation plus deployment support. Responsibilities for the Data Scientist: Develop statistical models machine learning solutions analytical frameworks to address complex business problems Explore large structured semi-structured datasets to identify patterns trends predictive signals Build test … Data Scientist: Strong experience in data science using Python with libraries such as Pandas NumPy scikit-learn or similar Solid grounding in statistics probability machine learning techniques Proven experience working within cloud environments such as AWS Azure or GCP Experience working with SQL large analytical datasets Ability ...

Consultant roles are unique. The ideal candidate is a rare hybrid, a scientist with strong technical skills in AI and machine learning, the programming abilities to scrape, combine, and manage data from a variety of sources and a statistician who knows how to derive insights from the information … projects. Provide technical guidance and support to junior analysts. Be proficient in Python, stay up-to-date on the latest advancements in AI and machine learning. Utilize combined knowledge of data structures, analytics, algorithms/models, and strong computer science fundamentals to independently prepare datasets, conduct analytics, and develop ...

will be designing and building AI-enabled software systems that support complex operational environments. The role will involve developing scalable backend services, integrating machine learning models into production systems, and contributing to the architecture of secure, cloud-native platforms. This is a hands-on engineering role suited … NEED THE AI SOFTWARE ENGINEER TO HAVE. Active UKSV DV clearance Strong software engineering background with Python Experience building and deploying AI/machine learning applications Knowledge of LLMs, NLP, or generative AI frameworks Experience with AWS or Azure Familiarity with Docker and Kubernetes Experience working in secure ...

part of this growth, they're looking for a Senior Data Architect to design and deliver enterprise-scale data platforms that power advanced analytics, machine learning and AI solutions. This is an opportunity to work on large-scale transformation programmes, influencing data strategy and architecture while working with … platforms. Define data architecture strategies, standards and governance. Deliver modern data solutions using Databricks , Snowflake , AWS and GCP . Enable advanced analytics, AI and machine learning capabilities. Work closely with engineering, data and business teams to deliver end-to-end solutions. Provide technical leadership throughout the project lifecycle. ...

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 ...

augmented generation (RAG), named entity recognition (NER), prompt engineering, and personalization for content extraction, search, question answering, reasoning, and recommendation. Develop LLM, NLP, and ML solutions that address client requirements and drive business transformation. Work closely with partner teams—including Business, Technology, Product Management, Strategy, and Business Management—to deploy … reliability. Communicate results effectively to business stakeholders through written reports, visualizations, and presentations. Stay current with the latest research in LLM, agentic AI, ML, and data science, and proactively identify and leverage emerging techniques to drive ongoing enhancement. Qualifications, Capabilities, and Skills Proven experience applying NLP, LLM, and ML techniques ...

B.V. is looking for a Principal Research Scientist to help define and accelerate their machine learning research agenda. This position is ideal for an established researcher who wants to remain at the forefront of machine learning while applying their expertise. The successful candidate will work with ...

Engineer – Defence Consultancy (6-Month Contract) A defence consultancy is seeking an experienced AI Engineer to design, develop, and deploy machine learning solutions for secure, mission-critical environments. You will work across the full development lifecycle, from initial design to model deployment, optimization, and production support. Position Type … Month Contract Security Requirement: Must hold an active SC-DV Clearance Key Responsibilities Development: Design and build AI-enabled applications using Python, machine learning frameworks, and Generative AI/LLM components. Pipelines: Develop and optimize Retrieval-Augmented Generation (RAG) pipelines, vector databases, and scalable data processing streams. MLOps ...

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 ...

professional experience Hands-on experience applying experimental design and causal inference techniques to real-world data Understanding of modern approaches to uncertainty estimation in machine learning (e.g. conformal prediction) Proficiency in Python, R, or similar programming languages used for data analysis Familiarity with causal frameworks such as potential … outcomes or causal graphs Working knowledge of machine learning and how it integrates with causal reasoning Clear and confident communicator, able to explain complex ideas in a simple and engaging way Additional Information Digitas offers a wide range of benefits to support our employees. Full details are shared ...

through their full lifecycle, from deployment to live operation and support - Ensure systems are supportable, secure, monitored and reliable in production - Configure and operate machine learning workloads in production, focusing on running models rather than training - Monitor system performance, identify issues and troubleshoot problems in live environments - Work … infrastructure-as-code tools such as Terraform - Confidence taking responsibility for live systems and outcomes MLOps experience is highly attractive, particularly operating AI or machine learning models in production. The focus is on operating models, not training them. In Return You'll work on platforms that support ...

transformation. Solid hands‐on technical skills – for example SQL and Python, data manipulation and engineering, and exposure to generative AI/LLM tools, machine learning or analytics platforms such as Power BI or Alteryx. Experience with using low code applications such as Microsoft Copilot Studio and Power Platform. ...

working within Agile delivery environments. Desirable Experience Databricks certifications. Kafka or Structured Streaming. CI/CD and DevOps practices. Docker and Kubernetes. Exposure to Machine Learning pipelines. Experience within Financial Services or other highly regulated environments. About You You'll be an experienced Data Engineer or Technical Lead ...

teams - Evaluate new technologies and tools - Support and mentor colleagues within a collaborative environment About You: - 5+ years' experience in data, analytics, AI or machine learning - Strong technical skills (Python, SQL, data pipelines) - Experience with AI technologies (e.g. LLMs, vector databases, Azure/OpenAI tools) - Proven ability ...