2,501 to 2,525 of 3,533 Machine Learning Jobs in London

will combine senior enterprise architecture capability with strong practical knowledge of modern AI technologies. They will be comfortable moving between strategic architecture, LLM/ML and Agentic AI design, data and integration architecture, governance and hands-on technical discussions.They will be capable of defining not only what the future … architecture for Balance Sheet Modelling, including the roadmap and transition states required to reach the future-state environment.Lead AI Solution Architecture across LLM, ML, Agentic AI and related AI capabilities.Design scalable AI architectures aligned with wider enterprise, data and integration architecture.Assess opportunities for Agentic AI and lead associated organisational design ...

combine senior enterprise architecture capability with strong practical knowledge of modern AI technologies . They will be comfortable moving between strategic architecture, LLM/ML and Agentic AI design, data and integration architecture, governance and hands-on technical discussions. They will be capable of defining not only what the future … architecture for Balance Sheet Modelling, including the roadmap and transition states required to reach the future-state environment. Lead AI Solution Architecture across LLM, ML, Agentic AI and related AI capabilities. Design scalable AI architectures aligned with wider enterprise, data and integration architecture. Assess opportunities for Agentic AI and lead ...

full model lifecycle, from data preparation through to production and you will translate research decisions into systems that set the direction for how machine learning operates across Klarna. You will be part of a small, high ownership team where what you build has genuine impact on the products … working in a small, high ownership team on open ended technical problems Awesome to have Experience with Triton kernels or GPU-level optimisation Broader ML background spanning areas beyond deep learning Experience with large-scale transactional or financial data Background in ML infrastructure or MLOps Please include ...

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 a specialist Python-focused engineering … role with a strong Machine Learning and Large Language Model (LLM) focus, ideal for a Python Engineer who has experience working with ML/LLM technologies click apply for full job details ...

Senior Recruitment Consultant – Data, AI & Machine Learning (Contract/Interim) 📍 London (Shoreditch HQ) | 🌍 Hybrid working 💸 £35,000 – £45,000 basic + uncapped commission Looking to dominate the fastest-moving market in tech? At Arrows Group, we know that in the world of AI and Machine Learning … Benelux/Dutch markets, helping our clients scale at pace. What you'll be doing: Lead a high-velocity Data/AI/ML contract desk, managing the full lifecycle from lead gen to deployment. Cultivate a deep network of immediately available freelance specialists (Data Scientists, ML Engineers, AI Researchers ...

machine learning, or advanced data engineering roles. Proven experience designing and implementing production-grade AI systems. Deep understanding of AI/ML technologies, data platforms, and modern software architecture. Experience with cloud-based AI platforms and data ecosystems. Ability to lead technical teams and guide complex AI implementations. … Strong communication skills and the ability to explain technical concepts clearly. Key Competencies AI and machine learning architecture Data platform architecture MLOps and model lifecycle management System integration and scalability Technical leadership Cross-functional collaboration #J-18808-Ljbffr ...

years of experience in deploying and maintaining machine learning models in a live production environment. Experience in profiling, configuring, or executing ML workloads directly on hardware accelerators (e.g., GPU or TPU). Experience designing, building, or optimizing model serving infrastructure or inference backends. Preferred qualifications: Experience with developing … serving infrastructure. Experience programming hardware accelerators (GPUs, TPUs) via ML frameworks (e.g., JAX, PyTorch) or low-level programming models (e.g., Pallas, CUDA, OpenCL). Experience profiling software to identify performance bottlenecks. Experience with distributed ML systems optimization and parallelism (e.g., data, model, or pipeline parallelism). Familiarity with writing performance ...

Evaluation Frameworks and Benchmarks for long-horizon prediction, scene fidelity, and driving performanceWhat You’ll BringMust-haves:3+ years of experience developing and deploying ML systems in real-world or production settingsPhD, Master’s degree, or equivalent experience in Machine Learning, Computer Vision, Robotics, or a related fieldDeep … simulation systemsFamiliarity with large-scale training (e.g., FSDP, DeepSpeed, JAX)Experience with sim-to-real transfer or data-efficient learningContributions to open-source ML tools or research infrastructureWhat we offer you Attractive compensation with salary and equity Immersion in a team of world-class researchers, engineers and entrepreneurs A unique ...

Your responsibilities We are looking for a Senior Research Scientist to lead fine-tuning, post-training, and reinforcement learning for the next generation of DeepL's document translation multimodal and vision models. This is a high-impact, hands-on role for a researcher who can own a major research … augmentations, and/or reasoning about data mixtures and ablations. A hands‐on builder who enjoys training models, running experiments, debugging pipelines, and integrating ML systems into production while staying grounded in product impact and real‐world quality. Strong coding and experimentation skills (Python, PyTorch/JAX/Tensorflow ...

Business Intelligence (BI) Computational Biology Database Design Data Engineering Data Modeling Data Science Data Visualization Drug Development Drug Discovery Process Machine Learning (ML) Pharmaceutical Biology Pharmaceutical Sciences Pharmacodynamics Pharmacokinetics Pharmacotherapeutics Product Approvals Software Development Stakeholder Relationship Management Strategic Leadership Waterfall Model Preferred Skills Biopharmaceuticals Biopharmaceutics Business Intelligence … Computational Biology Database Design Data Engineering Data Modeling Data Science Data Visualization Drug Development Drug Discovery Process Machine Learning (ML) Pharmaceutical Biology Pharmaceutical Sciences Pharmacodynamics Pharmacokinetics Pharmacotherapeutics Product Approvals Software Development Stakeholder Relationship Management Strategic Leadership Waterfall Model We are proud to be a company that embraces ...

training, upskilling and knowledge sharing to build a data-driven culture.**Lead & Inspire a High-Performing Team*** Lead a multidisciplinary team of data scientists, ML engineers, data engineers and analysts.* Build a strong, collaborative and innovative team culture focused on delivery and impact.**What We’re Looking For****Experience & Expertise … or data platform teams* Track record of delivering data and AI initiatives with clear business impact* Strong understanding of data platforms, analytics, and ML/AI technologies* Experience operating in complex, matrixed organisations**Business & Leadership Skills*** Strong commercial acumen and ability to link AI initiatives to business value* Excellent ...

AgentOps, and AI lifecycle management. It translates proven architectures, components, engineering practices, and design decisions into reusable AI capabilities that reduce duplication and ensure learning from one system strengthens the next.This role owns reusable AI system foundations and technical AI capability assets, not product roadmaps, business adoption, portfolio governance … Change Management, Curious Mindset, Data Governance, Data Literacy, Data Quality, Data Science, Data Visualization, Deep Learning, Learning Agility, Machine Learning (ML), Machine Learning Algorithms, Mentorship, Stakeholder Engagement, Statistical Analysis, Time Series AnalysisSummaryLocation: London (The Westworks)Type: Full time ...

Voleon is a technology company that applies state-of-the-art AI and machine learning techniques … real-world problems in finance. For nearly two decades, we have led our industry and worked at the frontier of applying AI/ML to investment management. We have become a multibillion-dollar asset manager, and we have ambitious goals for the future. Your colleagues will include internationally recognized experts ...

Voleon is a technology company that applies state-of-the-art AI and machine learning techniques … real-world problems in finance. For nearly two decades, we have led our industry and worked at the frontier of applying AI/ML to investment management. We have become a multibillion-dollar asset manager, and we have ambitious goals for the future.Your colleagues will include internationally recognized experts ...

technology, compute management, and embedded/inference optimisation.Establish scalable practices: Planning cadences, governance, KPIs and dashboards, escalations and operational reviews.Align cross-functionally: Work with ML/research, infrastructure, embedded/on-vehicle, and engineering teams (and cloud/vendor partners); manage dependencies, risk, and trade-offs.Connect to outcomes and represent … following skills and experience.Essential8+ years in platform/infrastructure: Deep, hands-on experience delivering platform or infrastructure programs as a technical program manager - compute, ML infra, developer tooling, training or inference systems - including people and process leadership. You've built or scaled a program function and you get things done ...

strong interest and practical experience in applied AI or machine learningStrong programming skills in Python (or similar) with familiarity in AI/ML libraries (TensorFlow, PyTorch, etc.)Experience working with large-scale models (LLMs/VLMs) and deploying AI-driven solutions into productionSolid understanding of cloud technologies, containerisation … building scalable AI applicationsAbility to integrate AI/ML models into real-world applications, focusing on usability and performanceStrong problem-solving skills and a practical approach to implementing AI solutions in a fast-paced environmentExperience working with large datasets, particularly in relation to demand and supply forecastingBonus: experience or strong ...

engineers to be working in a fast-paced and research-facing environment within a small team. You will contribute significantly to a world-class ML-based software platform set to transform the bio-pharmaceutical world. We need creative thinkers ready to redefine how drugs are designed with the power … AI.Working in a highly creative, iterative environment, you will be partnering with leading engineers, scientists and ML researchers to build the critical platform driving that transformation. This is a newly created role and you will need to use your previous experience and show initiative in order to fully carve ...

established, dynamic team of ~25 Medicinal Chemists in London, who are fundamentally redefining how drugs are designed. By partnering deeply with our AI/ML colleagues, we are doing more than just leveraging the Isomorphic Labs Drug Design Engine - we are actively shaping it. We use our domain expertise … will oversee and mentor a team of talented Medicinal Chemists, fostering their scientific growth and career development. Working alongside world-leading AI/ML Scientists, you will play a critical role in driving project success, enhancing our AI platform through expert feedback, and developing a high-performing Chemistry team. Critical ...

Data Scientist £120K – £140K + Equity London Hybrid At Data Idols, we are working with a high-growth technology business using advanced data science, machine learning and operational intelligence to solve complex real-world movement and optimisation problems at scale. They are now looking for a Staff Data … Skills and experience Strong Python and SQL skills Experience working with geospatial, routing or movement-related data Experience building production-grade data products or ML systems Strong stakeholder management and communication skills Experience working with large, complex or unstructured datasets Experience operating in fast-moving environments If you are looking ...

decisions on security, opportunities, policy, and risk mitigation made by governments and AI developers. We'rea close-knit, unusually interdisciplinary team—made up of machine learning researchers and engineers, software engineers, virologists and bacteriologists, behavioural research scientists, biosecurity experts, long-standing CB policyspecialistsand talented generalists—who work closely … tools for scientific progress but also have the potential for harm if misused. This role is for a technical researcher who can contribute strong ML and computational biology expertise to that mission. You will sit within a group of research scientists, subject matter experts and engineers, leading empirical research into ...

Intercom is looking for a Machine Learning Engineer to identify valuable ML opportunities and bring prototypes into production. The ideal candidate should have a strong applied machine learning background, solid statistical knowledge, and excellent communication skills. You'll work closely with product and design teams … create exceptional ML products. Our hybrid working policy allows for flexibility, and we expect in-office collaboration at least three days a week. Benefits include competitive salary, pension scheme, and comprehensive health insurance. #J-18808-Ljbffr ...

join Computational Innovation’s AI Accelerator (@computationalinnovation). In this role you will build and lead a team of world-class AI scientists and ML engineers who can design novel architectures that can train and infer at scale while respecting the complexity and structure of biomedical data, engineer the most … improve and extend lives in areas of high unmet medical need. Key Responsibilities Build and lead a team of world-class AI scientists and ML engineers focused on provisioning state of the art, foundational AI capabilities that support disease understanding, target discovery and safety Build out a senior scientific leadership ...

join Computational Innovation’s AI Accelerator (@computationalinnovation). In this role you will build and lead a team of world-class AI scientists and ML engineers who can design novel architectures that can train and infer at scale while respecting the complexity and structure of biomedical data, engineer the most … improve and extend lives in areas of high unmet medical need. Key Responsibilities Build and lead a team of world-class AI scientists and ML engineers focused on provisioning state of the art, foundational AI capabilities that support disease understanding, target discovery and safety Build out a senior scientific leadership ...

recall against dangerous behaviours nobody has seen yet? These are difficult questions - conceptually and empirically. Day to day this looks like: designing and running ML experiments (including RL and other optimisation-heavy work), building the adversarial attacks that generate the evidence, writing arguments, and arguing them out with the rest … looking for, rather than a list of everything we expect to find in one applicant. Essential Requirements Demonstrated ability to design, build and run ML experiments on frontier models, and to work autonomously on complex research projects involving substantial engineering. This includes black-box work (API-based evaluations and attacks ...

data transformation programme. Following significant investment and recent organisational change, there is a genuine appetite to modernise technology, improve data capabilities and scale machine learning across the business. The organisation currently has multiple machine learning models operating in production, but recognises that it’s MLOps capability … role has been created to provide the seniority, technical leadership and real-world experience required to establish best practice, improve operational maturity and ensure machine learning can be delivered reliably at enterprise scale. Key Responsibilities Lead the maturation of the MLOps function and build the capability Establish robust ...