251 to 275 of 2,938 Machine Learning Jobs in London

apply, and the type of support you need to complete the application to adjustments@depop.com. Role: Depop is looking for a talented Staff ML Scientist to join our Ranking ML team in the UK. You will work alongside a cross-functional team of Product Managers, ML Engineers, and fellow ML … partners (product, engineering, data) to define problems, translate them into scalable solutions, and deliver measurable business outcomes. Lead the end-to-end lifecycle of ML projects: from ideation, data acquisition, feature engineering, training, and evaluation to deployment and ongoing iteration. Drive innovation in ranking by researching and integrating emerging ML ...

Technology colleagues to translate ambiguity into rigorous evidence and practical recommendations. Alongside immediate delivery, you will shape the future of analytics by advancing machine learning, AI-enabled analytics and next-generation capabilities such as Commercial Digital Twin. Accountabilities: High-impact advanced analytics delivery: Design and deliver advanced analytics … promotional effectiveness and Digital Twin to influence strategic and operational decisions. Analytical innovation and next-generation capability: Identify opportunities to apply emerging analytical techniques, machine learning and AI to commercial and medical challenges; explore novel data sources, methodologies and technologies that create competitive advantage or improve patient outcomes ...

simple. Digitally disrupt and revolutionise a 335-year-old market. Working with Google and UCL, Ki has created a platform that uses algorithms, machine learning and large language models to give insurance brokers quotes in seconds, rather than days. Ki is proudly the biggest global algorithmic insurance carrier. … traditional MLOps systems. For instance, you’ll expand our MLOps system to manage the lifecycle of actuarial models and rules-based models alongside standard machine learning models. You’ll also have the opportunity to propose, design, and execute initiatives independently, guiding a talented team to bring these ideas ...

Communications and Health & Public Services. In our team you will learn: How to build production applications and agents using Claude and broader AI/ML technologies. How to integrate Claude securely with enterprise data, APIs, repositories and delivery toolchains. How to develop and operate MCP-enabled solutions, evaluation suites … controls. How to convert repeatable delivery patterns into reusable assets and accelerators for client teams. How to help clients to use AI/ML technologies to solve business challenges How to design, develop, deploy, and run high quality AI/ML solutions across a range of industries with varying business ...

Responsibilities Design, train, and evaluate reinforcement learning agents for control problems in data centre environments. Translate messy, real-world telemetry into well-posed ML problems, including state and action design, reward engineering, and constraint handling for safety-critical operation. Sanity-check model behaviour against physical first principles and catch … Strong working knowledge of reinforcement learning, including practical experience training and debugging deep RL agents on non-trivial problems Solid Python and modern ML tooling (PyTorch or JAX, NumPy, common RL libraries) Comfort working with time-series sensor data, including the realities of missingness, drift, calibration issues, and noisy ...

between traditional predictive algorithms and modern generative systems. Your Impact Advanced 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 on fine … Familiarity with Anaplan or similar enterprise planning platforms. Experience with A/B testing and experimentation frameworks for AI features. Contributions to open‐source ML projects or research publications. Our Commitment to Diversity, Equity, Inclusion, and Belonging (DEIB) We believe at Anaplan that diversity, equity, inclusion and belonging are central ...

researchers, contributing to the development and application of AI-driven tools for the analysis of complex medical datasets. The role includes designing and implementing machine learning models, processing large-scale pathology imaging data, and contributing to translational research aimed at improving diagnostic and clinical outcomes. Responsibilities include conducting … resources. Eligibility Criteria: A PhD (or near completion) in Computer Science, Artificial Intelligence, Biomedical Engineering, or a closely related discipline Demonstrated experience in machine learning, deep learning, or computer vision Experience working with medical imaging or digital pathology data Strong programming background and experience handling large datasets ...

Learning solutions directly embedded into business processes. We support clients across a number of industries and offer deep expertise in AI/ML, Cloud, Platform Engineering, and Managed Solutions. What you will be doing As a Senior Consultant in SAIL, you will own and lead consultancy engagements … winning the work, through to delivery governance and team leadership. You will bring SME‐level depth in at least one of AI/ML Engineering, Platform Engineering, or Software Engineering, and apply it to create real, lasting value for our clients. Although we do not expect ...

leverage the firm’s scale, data, and technology to deliver measurable impact across the Commercial & Investment Bank and Payments. As a Lead AI and ML Engineer, you’ll collaborate with talented teams in a fast-paced environment, building agents that real businesses depend on. We offer opportunities for career growth … exposure to cutting-edge platforms, and the chance to make a difference in a regulated, secure setting. As a Lead AI and ML Engineer in Digital & Platform Services/Data Analytics, you will design, productionize, and operate LLM-powered Agentic Commerce B2B agents on NEO. You will apply MLOps ...

JPMorganChase, your contributions help us build smarter, more resilient systems. Discover a workplace where your ideas and growth matter. As an AI/ML Software Engineer in our team, you will deliver AI/ML projects through the full development life cycle using Agile methodology. You will transform business requirements … proactively identifying opportunities for improvement. You will also contribute to our software engineering communities and explore emerging technologies. Job Responsibilities Deliver AI/ML projects through the ML development life cycle using Agile methodology Transform business requirements into AI/ML specifications, define milestones, and ensure timely delivery Execute solutions ...

Barlowe LLP seeks a Machine Learning Engineer to join the ML and HPC Architecture team, based in London. This role involves working with cutting-edge technology, collaborating on various ML projects, and optimising processes to enhance performance across teams. Ideal candidates will possess a postgraduate degree in Machine Learning or related experience, along with strong programming skills in Python and familiarity with ML model building. The role does not require finance experience, encouraging diverse applicants. #J-18808-Ljbffr ...

ready to shape the future of Market Operations with cutting‐edge AI and ML? At JPMorgan Chase, you’ll have the opportunity to lead a talented team, solve complex business challenges, and make a real impact on our operations. We value your expertise, encourage your growth, and support your journey … deliver transformative solutions. Join us to collaborate with industry leaders and advance your career in a dynamic, inclusive environment. As an Applied AI & ML Lead in the Market Operations team, you will drive the strategy, design, and delivery of AI/ML solutions that enhance and transform Market Operations. ...

class peers. The role – Our researchers aim to disprove the efficient market hypothesis every day, harnessing massive compute power and state‐of‐the‐art ML techniques published in recent conferences or developed entirely in‐house. ML is integral to develop successful investment management strategies and is a core driver … overall performance and success. Our ML practitioners have huge amounts of clean data and near‐infinite compute at their fingertips; they’re incentivised to explore the cutting‐edge and find the 1% difference. Unlike pure problems, our researchers get near instantaneous feedback in the form of absolute numbers where success ...

scientists) Deep expertise in NLP, Computer Vision, or multi-modal learning with demonstrated impact in production systems Strong publication record in top-tier ML/AI conferences (NeurIPS, ICML, KDD, WWW, ACL, EMNLP, CVPR, or equivalent) Experience with large-scale distributed ML systems processing terabytes of data Expert-level … advertising, ad tech, content moderation, trust & safety, or fraud/abuse detection Expertise in adversarial machine learning, anomaly detection, or security-oriented ML applications Familiarity with industry standards: MRC accreditation, TAG certification, brand safety frameworks, IAB content taxonomy Experience with privacy-preserving ML techniques (federated learning, differential ...

innovators passionate about tackling complex challenges and maximizing positive global impact. Join us on our moonshot mission. Who you are You are a strong ML researcher with experience in generative modeling. You have led or worked on notable machine learning projects, as documented by your contributions to widely … e.g. at NeurIPS, ICML, ICLR or Nature venues. You have a proven track record of deep expertise in generative modeling. You are a skillful ML developer. You write ML code that is robust, tested and easy to maintain. You have experience using version control and code review systems. ...

data flow diagrams, and integration specifications that guide and enable broader engineering teams. You will work with cross-functional delivery teams alongside data engineers, ML engineers, and application developers, and this role is an opportunity to develop deep expertise across the full AI architecture stack, sharpen your engineering instincts … designpatterns, frameworks, and technologies across the fast-evolving AI landscape, balancing innovation with enterprise-grade reliability Collaborate with cross-functional delivery teams — data engineers, ML engineers, and application developers — to translate requirements into concrete architecture decisions that meet stakeholder needs EDUCATION Bachelor's Degree or equivalent BASIC (REQUIRED) QUALIFICATION Hold ...

JPMorganChase, your contributions help us build smarter, more resilient systems. Discover a workplace where your ideas and growth matter. As an AI/ML Software Engineer in our team, you will deliver AI/ML projects through the full development life cycle using Agile methodology. You will transform business requirements … proactively identifying opportunities for improvement. You will also contribute to our software engineering communities and explore emerging technologies. Job Responsibilities: Deliver AI/ML projects through the ML development life cycle using Agile methodology Transform business requirements into AI/ML specifications, define milestones, and ensure timely delivery Execute solutions ...

About the Position We’re looking for smart and curious individuals to join our growing team and drive our ML work. On our Machine Learning team, you’ll build the deep learning models that power our trading strategies, supported by our rapidly growing computing cluster with tens … machine learning landscape and understanding of a variety of approaches—drawn from LLMs, image models, RL agents, recommendation systems or classical ML methods—to shape the future of ML at Jane Street. You’ll train models for the next generation of our deep learning-based trading strategies ...

data flow diagrams, and integration specifications that guide and enable broader engineering teams. You will work with cross‐functional delivery teams alongside data engineers, ML engineers, and application developers, and this role is an opportunity to develop deep expertise across the full AI architecture stack, sharpen your engineering instincts … patterns, frameworks, and technologies across the fast‐evolving AI landscape, balancing innovation with enterprise‐grade reliability Collaborate with cross‐functional delivery teams — data engineers, ML engineers, and application developers — to translate requirements into concrete architecture decisions that meet stakeholder needs EDUCATION Bachelor's Degree or equivalent BASIC (REQUIRED) QUALIFICATION Hold ...

drift, and implement continuous improvement strategies. Communicate complex findings clearly to both technical and non-technical stakeholders. Stay current with advancements in AI/ML (LLMs, generative AI, reinforcement learning) and evaluate their potential impact on products. Key Skills & Experience: Experience in machine learning, data science … applied AI roles. Proficiency in Python and ML libraries (Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch). Strong understanding of statistics, ML algorithms, and model evaluation techniques. Experience working with cloud platforms (AWS, Azure, or GCP) and ML pipelines. Ability to analyse large datasets and communicate insights effectively. Experience with LLMs ...

Infrastructure Platform, where you'll harness cutting-edge AI techniques to revolutionize business decisions and workflow for cloud migration. As an Applied AI/ML Lead – Vice President - Machine Learning Engineer at JPMorgan Infrastructure Platform, you will be at the forefront of combining cutting-edge AI techniques with … role is initially that of an individual contributor. Job responsibilities: Lead the deployment and scaling of advanced generative AI, agentic AI, and classical ML solutions. Design and execute enterprise-wide, reusable AI/ML frameworks and core infrastructure to accelerate AI solution development. Design and develop multi-agent systems ...

grow as a technologist by working alongside diverse experts across industries. You will design and build the scalable, reproducible data components essential for machine learning, agentic, and autonomous AI systems. You’ll assess data landscapes, apply data quality fundamentals, and prepare data for AI solutions. Additionally … based in London as part of our global Data Engineering community. Working in cross-functional Agile teams, you’ll collaborate closely with Data Scientists, Machine Learning Engineers, and industry experts to deliver AI solutions. By partnering with clients from data owners to C-level executives you’ll help ...

drift, and implement continuous improvement strategies. Communicate complex findings clearly to both technical and non-technical stakeholders. Stay current with advancements in AI/ML (LLMs, generative AI, reinforcement learning) and evaluate their potential impact on products. Key Skills & Experience: Experience in machine learning, data science … applied AI roles. Proficiency in Python and ML libraries (Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch). Strong understanding of statistics, ML algorithms, and model evaluation techniques. Experience working with cloud platforms (AWS, Azure, or GCP) and ML pipelines. Ability to analyse large datasets and communicate insights effectively. Experience with LLMs ...

drift, and implement continuous improvement strategies. Communicate complex findings clearly to both technical and non-technical stakeholders. Stay current with advancements in AI/ML (LLMs, generative AI, reinforcement learning) and evaluate their potential impact on products. Key Skills & Experience: Experience in machine learning, data science … applied AI roles. Proficiency in Python and ML libraries (Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch). Strong understanding of statistics, ML algorithms, and model evaluation techniques. Experience working with cloud platforms (AWS, Azure, or GCP) and ML pipelines. Ability to analyse large datasets and communicate insights effectively. Experience with LLMs ...

drift, and implement continuous improvement strategies. Communicate complex findings clearly to both technical and non-technical stakeholders. Stay current with advancements in AI/ML (LLMs, generative AI, reinforcement learning) and evaluate their potential impact on products. Key Skills & Experience: Experience in machine learning, data science … applied AI roles. Proficiency in Python and ML libraries (Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch). Strong understanding of statistics, ML algorithms, and model evaluation techniques. Experience working with cloud platforms (AWS, Azure, or GCP) and ML pipelines. Ability to analyse large datasets and communicate insights effectively. Experience with LLMs ...