176 to 200 of 3,474 Machine Learning Jobs in London

measurement + Embeddings, reranking, and retrieval orchestration + Evaluation datasets, benchmarking, and annotation workflows* Advanced programming skills in Python.* Experience with modern AI/ML frameworks and tooling (e.g., PyTorch, Hugging Face, LangChain, LangGraph, Haystack).* Experience working with large-scale datasets, distributed data/ML platforms, and production … assistants.* Familiarity with scientific, biomedical, or scholarly datasets and workflows.* Experience with knowledge graphs, ontologies, or semantic enrichment systems.* Exposure to production ML systems, MLOps, and AI governance practices.* Publications or applied research contributions in NLP, IR, search, recommendation systems, or generative AI.* Experience building AI systems in high-trust ...

QUALIFICATIONSBachelor’s, Master’s, or PhD in Computer Science, Machine Learning, Applied Statistics, Mathematics, Engineering, Physics, or other technical fields2–5+ years of professional experience applying machine learning and data mining techniques to solve real-world problems with substantial data setsProgramming experience (focus on machine … complex, data-rich environmentsAbility to prototype and deploy statistical and machine learning algorithms, and translate analytical outputs into data-driven solutionsExperience deploying ML/AI technologies into production or applied business environments is a plusWhile we advocate using the right tech for the right task, we often leverage ...

clients, understanding their needs, and translating them into effective outcomes. RequirementsKey Responsibilities Design, develop, and maintain high-performance Java-based applications Integrate AI/ML models into production-grade backend systems Build RESTful APIs and microservices using modern Java frameworks Collaborate with data scientists to deploy and scale machine … deploy AI-powered services Contribute to architecture decisions and technical roadmaps Design, develop, and maintain high-performance Java-based applications Integrate AI/ML models into production-grade backend systems Build RESTful APIs and microservices using modern Java frameworks Collaborate with data scientists to deploy and scale machine learning ...

experiments, and translating findings into concrete deliverables. Our focus areas are:* LLM Training (Continued Pretraining, Instruction Tuning, Reinforcement Learning Alignment, Distributed Training, Efficient ML techniques)* Data-centric Machine Learning (Synthetic Data, Curriculum Learning, Learned datamixtures, etc.)* Post-training techniques for planning, reasoning & complex workflows (e.g., Reasoning … Research Scientist Manager, you will play a key part in leading a diverse global team of experts. We hire world-leading specialists in ML/NLP/GenAI, as well as Engineering, to drive the company’s leading internal AI model development. You will have the opportunity to publish your ...

deliverables and engaging with the academic community. Our focus areas are: LLM Training (Continued Pretraining, Instruction Tuning, Reinforcement Learning Alignment, Distributed Training, Efficient ML techniques) Post-training techniques for planning, reasoning & complex workflows (e.g., Reasoning Models, LLMs + Knowledge Graphs, Test time compute, CoT pipelines, Tool use & API calling … models. As a Research Scientist, you will play a key part in a diverse global team of experts. We hire world-leading specialists in ML/NLP/GenAI, as well as Engineering, to drive the company’s leading internal AI model development. You will have the opportunity to publish ...

deliverables and engaging with the academic community. Our focus areas are:LLM Training (Continued Pretraining, Instruction Tuning, Reinforcement Learning Alignment, Distributed Training, Efficient ML techniques)Post-training techniques for planning, reasoning & complex workflows (e.g., Reasoning Models, LLMs + Knowledge Graphs, Test time compute, CoT pipelines, Tool use & API calling … trained models.As a Research Scientist, you will play a key part in a diverse global team of experts. We hire world-leading specialists in ML/NLP/GenAI, as well as Engineering, to drive the company’s leading internal AI model development. You will have the opportunity to publish ...

experiments, and translating findings into concrete deliverables. Our focus areas are: LLM Training (Continued Pretraining, Instruction Tuning, Reinforcement Learning Alignment, Distributed Training, Efficient ML techniques) Post-training techniques for planning, reasoning & complex workflows (e.g., Reasoning Models, LLMs + Knowledge Graphs, Test time compute, CoT pipelines, Tool use & API calling … Research Scientist Manager, you will play a key part in leading a diverse global team of experts. We hire world-leading specialists in ML/NLP/GenAI, as well as Engineering, to drive the company’s leading internal AI model development. You will have the opportunity to publish your ...

expanding our group and seeking highly skilled individuals who will be responsible for contributing to the team (or teams) of Machine Learning (ML) and Software Engineers that are bringing innovative solutions to AI-driven customer-facing products. At Bloomberg, we believe in fostering a transparent and efficient financial … effectively handle complex client queries, shaping Bloomberg's generative AI ecosystem, and scaling these innovative solutions to support thousands of users. Leveraging both traditional ML approaches and Generative AI to prototype, build, and maintain high-performing, client-facing search and streaming applications that deliver timely and relevant financial insights. Building ...

engineers and AI specialists, you will develop and deploy data-driven solutions that support research, experimentation and product development. You will apply modern analytics, machine learning and data engineering techniques to biological, chemical and experimental datasets while helping clients transform their R&D capabilities.In this role you will … datasetsExperience applying data analytics, machine learning or statistical techniques to real-world problemsDesirableExperience of using programming languages (e.g. Python, R) and associated ML frameworks, e.g. scikit-learn, TensorFlow, PyTorchUnderstanding of data structures, algorithms, and software design principlesIf you're excited about this role but don’t meet every ...

Role AI Evangelist (Senior Technology Architect) Technology, Location & Compensation AI/ML/Gen AI, Data Science, Poly Cloud – Azure, AWS, GCP London, UK Competitive (including bonus) Job Summary We seek a highly skilled senior architect/consultant to lead the Generative AI Technologies team. The candidate must possess deep … accuracy, cost and latency. Understanding of AI governance, security, privacy, bias/fairness and emerging regulations. Machine Learning Mastery – profound understanding of ML principles, algorithms, frameworks, and training pipelines. Technical Proficiency – programming in Python, TensorFlow, PyTorch or similar; modern LLM/agent frameworks; cloud AI platforms (Amazon Bedrock ...

capabilities or "engines" that integrate directly into Anaplan Applications to solve complex enterprise business problems. In this role, you will develop best-in-class ML models and pipelines to drive automated, actionable insights at scale. Beyond core development, you will act as a key technical partner for our customers. … will play a highly visible role in driving customer onboardings, getting hands-on with client data to customize and fine-tune our ML engines so they seamlessly adapt to complex business realities and specific customer needs. Your Impact Customer Onboarding & Engine Customization: Lead the technical deployment of our engines ...

will bridge the gap between traditional predictive algorithms and modern generative systems.Your ImpactAdvanced Modeling & Predictive Analytics: Lead the research, design, and implementation of advanced Machine Learning, Deep Learning, and Timeseries Forecasting models to solve complex enterprise business and planning challenges.Generative AI Architecture: Architect GenAI solutions, focusing … analytics applicationsFamiliarity with Anaplan or similar enterprise planning platformsExperience with A/B testing and experimentation frameworks for AI featuresContributions to open-source ML projects or research publicationsOur Commitment to Diversity, Equity, Inclusion and Belonging (DEIB) We believe attracting and retaining the best talent and fostering an inclusive culture strengthens ...

clients, and utilising data to make smarter, better decisions. You will be responsible for applying data mining techniques, undertaking statistical analysis, deploying cutting edge machine learning tools and techniques, and drawing insights and building predictive models on both structured and unstructured data. This role will involve working … TableauExperience deploying models into production using Azure servicesExposure to data engineering fundamentals (e.g., data pipelines, delta lake)Knowledge of experience tracking tools (MLFlow, Azure ML tracking)Connect to your business – TaxInnovation and tax consultancy may not seem to go together, but that’s exactly what you’ll find at Deloitte. ...

through to the retrieval, grounding, and orchestration layers that agentic systems depend on.You'll combine deep expertise in data engineering, analytics, and AI/ML with an understanding of the financial services landscape to translate complex challenges into elegant, scalable cloud solutions — navigating regulatory requirements, data sovereignty constraints, legacy environments … technical audiences, including executive level stakeholders or clientsPreferred qualification - Experience working with Data & AI related technologies, including, but not limited to, AI/ML, GenAI, Analytics, Database, and/or Storage- PhD in computer science, machine learning, engineering, or related fields, or experience with AWS services including ...

standards, and the realities of an AM/FS operating environment.This position is designed for a senior practitioner who proactively identifies opportunities where analytics, machine learning, and data capabilities can materially improve decision-making within Asset Management. The role emphasizes problem framing in complex, ambiguous situations, and applying … provide business solutions and recommendations.Ability to work effectively in a collaborative team environment. If you also had this, it would be great...Familiarity with ML Ops practices and tools for model deployment and monitoring.Familiarity with Gen AI capabilities, Observability, Gen AI type - Q/A, text summarization and text generation etc.Experience ...

datasets. Working alongside data scientists, software engineers, architects and consultants, you’ll create scalable cloud-native data solutions that support advanced analytics, AI/ML capabilities and operational intelligence systems. This is an opportunity to work on technically challenging projects where you’ll influence architecture, engineering approaches and the delivery … Experience AWS Data Services (Glue, EMR, Lambda, S3, Athena, Redshift) Streaming technologies such as Kafka or Kinesis Data modelling and metadata management AI/ML data pipelines and feature engineering Geospatial, sensor, operational or intelligence‐related datasets Experience working within Defence, National Security, Government or other regulated sectors Why Join ...

been recognized across the industry, including: 21 Google Cloud Partner of the Year awards in the past 10 years 3 AWS AI/ML Partner of the Year awards 3 NVIDIA Partner of the Year awards 3 Snowflake Partner of the Year awards Rated Leaders by Gartner, Forrester … disruptive innovators in a research-driven environment with 60+ patents. Stay ahead of the curve by gaining hands-on experience with cutting-edge AI, ML, data, and cloud technologies while continuously upskilling. If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with ...

cases.Collaborate with product and engineering teams to define API contracts, data models, and integration patterns for AI-powered features.Evaluate and recommend AI/ML technologies, frameworks, and models that align with enterprise requirements for security, scalability, and reliability.Lead architecture reviews and provide hands-on technical mentorship to engineering teams implementing … monitoring, and optimisation mechanisms.Your SkillsExperienced background in software architecture, highlighted by a dedicated and deep focus on designing, scaling, and productionising complex AI/ML systems.Deep expertise in LLM architecture, prompt engineering, and GenAI application design, paired with a strong understanding of multi-agent systems and autonomous decision-making frameworks.Highly ...

ADAS systems. To deliver reliable data-driven technologies to millions of Toyota vehicles, we are solving complex real-world problems using large-scale data, machine learning, and state-of-the-art architectures for Perception, Prediction, and Motion Planning. WHO ARE WE LOOKING FOR? The team is looking … Autonomy team. You will combine modern data approaches with safety standards while also considering cost efficient options. You will be an expert in deep learning and software engineering. Furthermore, you are proactive towards handling the processes required for production development and approach them by asking "What ...

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 ...

through data. This position collaborates with colleagues and stakeholders across the organisation to provide the tools and capability enabling Data Engineering, Reporting, Advanced Analytics, Machine Learning and Gen AI. The role requires a blend of technical expertise, business acumen, and collaboration to create platform features which promote … Design and Implement cloud-native data platforms capabilities that support federated use cases across data engineering, BI/reporting, advanced analytics, and AI/ML workloads. Deliver solutions which align to cloud platform engineering standards, patterns, and best practices to ensure consistency, reliability, and cost-efficiency. Ensure delivery of robust ...

QUALIFICATIONSBachelor’s, Master’s, or PhD degree in Computer Science, Machine Learning, Applied Statistics, Mathematics, Engineering, Physics, or other technical fieldsUpto 2 years of professional experience applying machine learning and data mining techniques to real-world problems with substantial data setsProgramming experience (focus on machine learning): R and/or Python, with SPSS, SAS, or similar tools considered nice-to-haveAbility to prototype statistical analysis and modeling algorithms and apply them to develop data-driven solutions in new domainsAbility to independently own and drive model development while balancing competing demands and deadlinesDemonstrated aptitude ...

principles.Desirable SkillsExperience building or integrating AI-powered applications and services.Familiarity with Large Language Models (LLMs), Generative AI, Retrieval-Augmented Generation (RAG), AI agents, or machine learning workflows.Experience integrating AI APIs and platforms … such as OpenAI, Anthropic, Azure AI, or similar technologies.Knowledge of vector databases, embeddings, prompt engineering, and AI application architecture.Experience with Python for AI/ML-related development.Exposure to MLOps practices and AI model deployment pipelines.Contributions to open-source projects or technical communities.BenefitsCompetitive SalaryBonus SchemePrivate Healthcare Insurance25 Days Annual Leave + ...

SkillsExperience building or integrating AI-powered applications and services. Familiarity with Large Language Models (LLMs), Generative AI, Retrieval-Augmented Generation (RAG), AI agents, or machine learning workflows. Experience integrating AI APIs and platforms such … OpenAI, Anthropic, Azure AI, or similar technologies. Knowledge of vector databases, embeddings, prompt engineering, and AI application architecture. Experience with Python for AI/ML-related development. Exposure to MLOps practices and AI model deployment pipelines. Contributions to open-source projects or technical communities. BenefitsCompetitive SalaryBonus SchemePrivate Healthcare Insurance25 Days ...

intricate business challenges and translation into technical problem statements.. Working with diverse datasets, both internal and external.. Expert application and development of advanced machine learning or statistical modelling techniques to generate actionable insights and deliver measurable impact.· Provide hands-on technical mentorship and guidance to junior … proficiency in Python (and R) for data science, coupled with SQL capabilities for data manipulation and extraction.· Demonstrable mastery in a wide range of machine learning and statistical modelling techniques, from classical linear models and tree-based methods to advanced deep learning architectures.· Practical experience with ...