25 of 25 Remote/Hybrid Reinforcement Learning Jobs in London

seeking those who are dedicated as much to building safely and responsibly as to advancing disruptive agentic capabilities. We promote a mindset of openness, learning, and collaboration, where everyone has something to contribute. About the Research & Models Team The Models team builds the foundational models that power our cutting … perceive, understand, and act within complex environments. We own the entire pipeline including synthetic data generation, environment design, mid-training, supervised fine-tuning, offline reinforcement learning, online reinforcement learning, reward modelling, transition modelling, etc. Our team also has dedicated MLOps, Infra and Inference support at scale. ...

large language models. We focus on developing algorithms and systems that align pre-trained models with tasks and performance goals through techniques like reinforcement learning. As a research-driven team, we stay up to date with current literature to integrate cutting-edge ideas into our core stack. As part … controllability, and safer, more effective user experiences. Your responsibilities As a Senior Research Scientist, you’ll design, implement, and deploy cutting-edge research in reinforcement learning and post-training at scale, driving innovations that make it into production. You will: Build and deploy state-of-the-art reinforcement ...

moment. We’re evolving how messaging works at Spotify — moving from short-term optimization toward systems that understand long-term user journeys. By combining reinforcement learning approaches with deeper domain signals, we’re expanding how machine learning shapes the entire messaging funnel. What You’ll Do Design … build, and ship machine learning models that optimize messaging across push, email, and in-app channels Plan and run A/B experiments in a multi-objective environment, balancing conversion, engagement, retention, and reachability Contribute to reinforcement learning systems that optimize for long-term user outcomes rather ...

deliver perfect translations for the most demanding use cases. To that end, we take responsibility for the entire life cycle of the machine learning models that power our language AI products. This includes data, training, quality assurance, and operational aspects. In our highly collaborative teams, each person … drive impact across the company. Your responsibilities We are looking for a Senior Research Scientist to lead fine-tuning, post-training, model-steerability, and reinforcement learning for the next generation of DeepL's LLM-based translation models. This is a high-impact, hands-on role for a researcher ...

code and have a good understanding of data structures and algorithms. A Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field is required. Preferred Skills Knowledge of Machine Learning Algorithms: Familiarity with various machine learning algorithms like linear regression … decision trees, SVM, etc. Experience with Deep Learning Frameworks: Experience with frameworks like TensorFlow, PyTorch, or Keras. Familiarity with Natural Language Processing: Understanding of NLP techniques and libraries like NLTK, SpaCy, etc. Knowledge of Cloud Platforms: Experience with cloud platforms like AWS, Google Cloud, or Azure. Understanding of Computer ...

competitive base salary + performance-linked bonus structure Overview We are currently partnering with a premier systematic investment firm to identify an exceptional Machine Learning Quantitative Researcher. In this role, you will join a specialized research team dedicated to developing next-generation quantitative trading strategies. This position offers … opportunity to leverage extensive computational resources and robust data infrastructure to focus exclusively on greenfield research. You will be tasked with applying advanced machine learning methodologies to complex, unstructured datasets to identify and capture new sources of alpha in global financial markets. Key Responsibilities Design, develop, and deploy advanced ...

ground operations. Designing and implementing high-performance optimisation algorithms and production-grade solutions using Python, C++ and commercial optimisation solvers. Integrating optimisation, simulation and reinforcement learning techniques to solve complex multi-stage decision problems. Partnering with senior stakeholders to translate business challenges into mathematical models with clear operational … teams. Significant relevant industry experience within operations research and optimisation, with evidence of technical leadership progression. Cloud-based optimisation platforms and distributed computing. Machine learning and hybrid optimisation approaches. Simulation, reinforcement learning and advanced heuristic methods. Commercial airline operations, crew planning systems or aircraft scheduling. Aviation regulations ...

implementation of our Evidence-Based Intervention Library. Develop AI features tailored for product retention and engagement. Implement features involving expectation setting, gamification, and reinforcement learning for the personalization of care. Optimize our recovery data collection processes, focusing on the methods, timing, and predictive modelling of PHQ-9s. Provide … approach to hypothesis-driven work, with a track record of balancing product development with scientific rigour. Experience in Eval-driven-development. Experience using Machine Learning in a production environment or via high-impact scientific publications (e.g., predictive modelling, reinforcement learning). Experience modelling text/language data ...

down to reading transcripts, supporting users, and wrangling vendors. The company's RL Data team builds the systems that produce high‐quality reinforcement learning data for Claude: data collection pipelines, human feedback tooling, the execution environments RL tasks run in, and the quality assurance that keeps training data … Effective use of AI tools in your own day‐to‐day work. Care about the societal impacts of your work. Preferred qualifications Experience with reinforcement learning on LLMs, particularly on the data side: creating evals, environments, rewards, graders, or training data. Experience helping organizations use AI more effectively ...

policy experts, and business leaders working together to build beneficial AI systems. About the role The company's RL Scaling Science team studies how reinforcement learning behaves as we scale it (across model size, compute, and task horizon) and turns that understanding into the training recipes behind … scale Partner closely with adjacent RL teams across research and engineering and advance our overall RL stack Minimum qualifications Strong empirical research skills in Reinforcement Learning, large-scale ML training, or a closely adjacent area Demonstrated ability to own large experiments end-to-end, from design through interpretation ...

curious and open-minded individual with an interest in conducting state-of-the-art foundational machine learning research? Thomson Reuters Labs is seeking Research Scientists with a passion for building complex agent-based AI systems in a data-rich, complex academic environment driven by real-world problems. Foundational Research … sleeves and participate in designing, coding, conducting 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 ...

Manager, Research Engineering with the skills and drive to manage a top performing Engineering team focused on developing the latest in LLM and Machine Learning capabilities. Foundational Research Foundational Research is the dedicated core Machine Learning research division of Thomson Reuters. We are focused on research and development … with a particular focus on advanced algorithms and training techniques for Large Language Models (LLMs). LLM Training (Continued pretraining, instruction tuning, reinforcement learning, distributed training, efficient ML techniques) Post-training techniques for planning, reasoning & complex workflows (e.g., reasoning models, LLMs + knowledge graphs, test time compute ...

values, we push boundaries, build with speed and intensity, and relentlessly deliver incredible value to our customers. What's the opportunity? Fin's Machine Learning team is responsible for defining new ML features, researching appropriate algorithms and technologies, and rapidly getting first prototypes in our customers’ hands. … move to production fast, often shipping to beta in weeks after a successful offline test. We are very passionate about applying machine learning technology, and have productized everything from classic supervised models, to cutting‐edge unsupervised clustering algorithms, to novel applications of transformer neural networks. We test and measure ...

values, we push boundaries, build with speed and intensity, and relentlessly deliver incredible value to our customers. What's the opportunity? Fin's Machine Learning team is responsible for defining new ML features, researching appropriate algorithms and technologies, and rapidly getting first prototypes in our customers’ hands. … move to production fast, often shipping to beta in weeks after a successful offline test. We are very passionate about applying machine learning technology, and have productized everything from classic supervised models, to cutting-edge unsupervised clustering algorithms, to novel applications of transformer neural networks. We test and measure ...

series and multimodal data, simulation and world models, trustworthy decision-support agents and staged autonomy, and AI-native approaches to industrial data foundations, ontology learning, and evaluation. This is a hands‐on role for someone who thrives in uncertain problem spaces, works with high autonomy, and finds practical ways … Develop new models, algorithms, evaluation methods, and system architectures. Build high-quality experimental systems and validated research prototypes. Publish at leading AI and machine learning venues and contribute to AVEVA’s patent and IP portfolio. Create benchmarks, datasets, and evaluation frameworks for industrial AI. Partner with leading AI labs ...

ensure best practices in modelling, experimentation and deployment. Data Science & Advanced Analytics – Design and implement predictive and prescriptive models for airline operations, applying machine learning, optimisation and statistical analysis to large, complex data sets. Translation of Business Problems – Convert business challenges into analytical frameworks and actionable solutions to improve … driving high‐impact projects and aligning with business objectives. Advanced knowledge of the Data Science Toolbox – mathematics, statistics, programming, data ingestion, munging, visualisation, machine learning, optimisation, simulation, reinforcement learning, and big‐data technologies. Experience leading successful data‐science projects in an operational setting (preferred). Understanding ...

Ensure best practices in modelling, experimentation, and deployment. · Data Science & Advanced Analytics. Design and implement predictive and prescriptive models for airline operations. Apply machine learning, optimization techniques, and statistical analysis to large, complex datasets · Translate business problems into analytical frameworks and actionable solutions to improve decision making · Stakeholder engagement. … advanced knowledge level of the Data Science Toolbox (i.e. the fundamentals of Mathematics and Statistics, computer programming, Data Ingestion, Data Munging, Data visualisation, Machine Learning, Optimisation, Simulation, Reinforcement Learning and Big Data techniques and technologies) · Have experience of leading and landing successful Data Science projects ...

iteration of our next-generation benefits platform features that leverage personalization, experimentation, and AI/ML methods (e.g. agents/LLMs, recommender systems, reinforcement learning) to enhance user experience in a meaningful business domain. Contribute across the tech stack : You’ll work in React (JavaScript/TypeScript … against important business goals that help the entire team win Pragmatic Best Practices : An overarching desire to build efficient, scalable, and maintainable code, while learning the tradeoffs between technical debt and delivery speed What we look for We’re a great bunch but we have some "Euph" cultural ...

environments Experience building multi-agent or single-agent architecture with integrations to APIs and/or MCPs A good understanding of supervised, unsupervised, and reinforcement learning methods alongside experience working with foundation models and prompt engineering Practical experience with GCP services or AWS equivalent such as Vertex ...

What We Are Looking For Deep expertise in one applied ML, statistics or data science speciality. Examples could be risk modelling, LLM detection, or reinforcement learning – any area of genuine depth counts. Judgement about when to reach for simple statistics, classical ML, LLMs, or agentic approaches. 3+ years ...

meaningful impact in the world Our work frequently takes us right up to the state of the art in technical innovation, be it reinforcement learning, distributed systems, generative AI, or deployment infrastructure. The defence industry is entering the most exciting phase of the technological development curve. Advances … that you care deeply about What we offer Competitive salary and VSOP options Relocation support : up to €2,500 and 4 weeks temporary accommodation Learning : €500/£450 yearly allowance Health & wellness : gym membership and mental health support (Nilo.health) Social : regular company events and monthly social allowances Enhanced parental ...

modelling to deployment. Ideal candidates hold a PhD or Master’s in a related field, with deep expertise in MILP, metaheuristics, stochastic programming, or reinforcement learning, and #J-18808-Ljbffr ...

plus. Have experience as a technical founder, or engineer at an early stage startup. Have familiarity with, or interest in, model training pipelines and reinforcement learning. Have experience building AI applications, agents, or evaluation systems, and can reason clearly about model behavior in complex workflows. Are comfortable working directly ...

DeepL is seeking a Senior Research Scientist to design, implement, and deploy cutting-edge reinforcement learning and post-training research at scale. You will drive innovations that translate to production, collaborating with engineering, ML platforms, and HPC teams. The role emphasizes building scalable RL pipelines, aligning models with ...

background in Eval-driven-development. Expert-level proficiency in Python and Typescript/Javascript. Proven experience building an LLM agent harness . Experience utilizing reinforcement learning. Strong architectural skills with experience designing scalable, production-grade systems for machine learning applications. A solid understanding of statistical principles specifically ...