401 to 425 of 2,929 Machine Learning Jobs in London

About the position We’re looking for smart and curious individuals tojoin our growing team and drive our ML work. On our Machine Learning team, you'll buildthe deep learning models that power our tradingstrategies, supported by our rapidly growingcomputing cluster with tens of thousands ofhigh … your in-depth knowledge of themachine learning landscape and understanding of avariety of approaches—drawn from LLMs,imagemodels, RL agents, recommendation systems, orclassical ML methods—to shape the future of ML atJane Street. You’ll train models for the nextgeneration of our deep learning-based tradingstrategies, and build ...

agent ecosystems encompassing multi-agent orchestration, tool use, skills use, and memory systems, as well as foundation model integration, fine-tuning strategies, and classical ML model deployment within cohesive, production-ready platforms. You will be accountable for ensuring the complete architecture meets the most rigorous non-functional requirements across security … strategy — adaptation, fine-tuning, and dynamic cost/quality/latency-aware routing Set the standards for high-throughput, low-latency inferencing and classical ML deployment within unified, production-ready platforms Own the architecture of the enterprise context layer — knowledge graphs, ontologies, vector search, and semantic retrieval — grounding the solution ...

RFPs, bids, client pitches and client events. Contributing internally through campaign development, think-tanks, whitepapers, offering development and practice growth, alongside your own funded learning, training and certifications. What You'll Bring Experience gained in a major consulting firm, or in industry with a consulting mindset comfortable … this role could be a great fit: GenAI Engineer, Generative AI Engineer, Agentic AI Engineer, AI Engineer, AI Consultant, Machine Learning Engineer, ML Engineer, Full Stack Engineer, Full Stack Developer, Python Developer, Senior Consultant Data Science, Data Scientist, Solutions Architect AI, LLM Engineer, MLOps Engineer, AI Software Engineer ...

Senior Computer Vision Engineer - Deep Learning Salary: £70,000 to £95,000 Location: West London Working arrangement: Predominantly office and customer-site based, with some remote working available Employment: Permanent, full-time. Contract opportunities may also be considered. MFK Recruitment is recruiting a Senior Computer Vision Engineer … innovative UK technology company working at the forefront of computer vision, perception and autonomy. The company develops advanced Artificial Intelligence and Machine Learning technology for defence, security and other demanding real-world environments. Its work combines machine vision, deep learning and neuroscience-inspired approaches to create ...

based features (GenAI, Agentic AI, RAG, etc.) search/ranking quality, and knowledge graph aware retrieval while enforcing content rights and editorial confidentiality. Responsibilities ML & LLM Engineering, Search and Recommendation Engines Automate and orchestrate machine learning workflows across major cloud and AI platforms (AWS, Azure, Databricks, and foundation … APIs such as OpenAI) Maintain and version model registries and artifact stores to ensure reproducibility and governance Develop and manage CI/CD for ML, including automated data validation, model testing, and deployment Implement ML Engineering solutions using popular MLOps platforms such as AWS SageMaker, MLflow, Azure ML ...

design of scalable, robust agentic and data architectures that align with business objectives. Establish technical standards, next practice, and development methodologies for AI/ML projects. AI/ML Development & Innovation: Lead the development of advanced AI/ML models and systems, from research through to production deployment. Drive innovation … reliability, scalability, security, and compliance. Lead technical reviews and provide guidance on complex AI engineering challenges. Technical Expertise: Deep expertise in AI/ML frameworks—TensorFlow, PyTorch, Scikit‐Learn, Transformers—cloud platforms (AWS, Azure, GCP), and modern software engineering practices. Strong background in deep learning, natural language processing, computer ...

deep learning, including distributed training, GPU workloads, and the full MLOps lifecycle (tracking, registry, serving, monitoring). Proficiency in Python and the ML ecosystem (PyTorch/Transformers, MLflow, Spark), and comfort building production-quality reference implementations. Experience with the Databricks platform — or the ability to ramp on it quickly … across EMEA time zones, with willingness to travel to customer sites within the region as needed. Background helping digital-native customers build data and ML solutions (e.g., prior experience at a data/ML platform or consulting vendor) is a strong plus. Nice to Have Public technical presence: conference speaking ...

University of Law is looking for an experienced Learning Analytics Specialist to join our Technology Enhanced Learning and Teaching team. This is a hands-on role for someone who enjoys getting into the detail of data , working with complex datasets, finding patterns and turning analysis into clear insights … that can support student success, retention and teaching effectiveness. You’ll take a leading role in the development and use of learning analytics across the University, working with data from our digital learning platforms and wider University systems. You’ll develop dashboards, reporting and early alert mechanisms, while ...

built on our Power BI and Microsoft Fabric analytics platform. Over time, the role will expand into other innovative data solutions, including AI- and machine learning-driven insights and other statistical techniques. This role requires close collaboration with product managers, product owners, data engineering, and other internal … capabilities, including personalization. Design, and at times build, analytics content within our Power BI and Microsoft Fabric environment. Identify opportunities to apply AI and machine learning — such as natural language querying, automated insights, or predictive analytics — within the GRC analytics experience. Assist in the upskilling of the Custom ...

Lead high-impact data science initiatives end-to-end, including problem framing, methodology selection, experiment development, implementation partnership, and impact measurement.* Build and deliver machine learning and reinforcement learning solutions to improve player engagement, retention, monetization, and operational outcomes.* Lead the modeling framework for complex systems, guaranteeing … related quantitative field, or equivalent experience in practice.* Experience: 5+ years of professional data science experience. You have delivered at least 3 data or ML products from problem definition to production deployment and monitoring.* Demonstrated proficiency in clustering, predictive modeling, reinforcement learning, and Bayesian statistics.* Hands-on experience ...

partner to our research team, mentor and support junior colleagues, and work closely with Product and Business Development to turn cutting-edge biology + ML into deliverables that matter for customers. PhD in Computational Biology, Machine Learning, Bioinformatics, or a related field, with a strong focus on Transcriptomics … Genomics + ML and 2+ years of industry (non-academic) experience OR MSc in a relevant field and 5+ years of industry experience applying ML to Transcriptomics OR Genomics problems Strong understanding of ML/AI methods for biological data (e.g., transformers, VAEs, diffusion models, classical ML ) Hands‐on experience ...

product — owning features end-to-end, from the API design and backend systems all the way through to the UI that annotation teams, ML engineers, and compliance officers use every day. You won\'t be handed specs; you\'ll help write them. We care deeply about product craft, technical excellence … What you\'ll do Build scalable back-end systems and intuitive front-end interfaces — owning features from database schema to rendered UI Work with ML workflows — developing tooling for model evaluation, active learning, and automated quality pipelines Iterate rapidly on product and ship high-quality features at pace, maintaining ...

build, and deploy scalable machine learning algorithms and software solutions. Analyse, cleanse, and normalise complex time-series data and dynamical systems. Integrate ML models into production using cloud platforms and modern JavaScript frameworks. Collaborate within an Agile environment to deliver robust data structures and algorithms. What … engineering and data science capabilities: Core Development: Proficiency in Python, JavaScript, and Java, alongside modern frameworks (React, Redux, Vue, or Angular). Data Science & ML: Solid understanding of common ML techniques, trade-offs, and scalable ML architecture (MapReduce, streaming). Data Expertise: Experience with time-series data, dynamical systems ...

Tripadvisor seeks a Senior Director, Machine Learning, to lead ML, data science and experimentation efforts under the VP of Engineering. You will define ML strategy, scale teams, and drive growth through personalization, ranking and generative AI initiatives. Expect a hub-and-spoke model with central standards and close … product collaboration. You will mentor managers, shape career ladders, and partner with Talent Acquisition to attract top ML talent while delivering measurable business impact. #J-18808-Ljbffr ...

hiring in Miami, London and Milan. Description -- Role: expected to contribute to production grade proprietary trading systems, deploy state of the art AI/ML, develop novel AI/ML models, experiment with and develop novel trading ideas, explore new datasets. -- Required: experience training ML models end to end (from … data processing to fine tuning), experience training across transformers/generative models/RL, publications in either top tier ML conferences (e.g., NeurIPS, ICLR, ICML, JMLR, etc.) or top scientific journals, top tier institutions/industry experiences. -- Positives but not requirement: PhD. Reference: AMC/AHU/NW/SPH001 ...

AI. You are both a deep technical builder and an expert business value translator. What you’ll do Partner with Account Executives and the ML team to lead the technical strategy for complex, enterprise sales cycles and co‐own the technical win Lead deep technical discovery sessions with a wide … range of stakeholders (from ML Engineers to MLOps leaders) to not only uncover business pain but to architect a complete technical solution and integration path Architect, build, and deliver highly‐technical, customised product demonstrations and proof‐of‐concepts (POCs) that solve specific, complex customer problems ...

excited by technology that reaches patients directly and shapes how medicine is practised, this is where that work happens. The role As an ML Platform Engineer at Panakeia, you will sit at the critical junction of research, engineering and product delivery. You will be responsible for designing, implementing and maintaining … manipulation within training pipelines, and overseeing data quality and storage optimisation. Familiarity with deep learning frameworks (e.g., PyTorch). Architecting and building an ML platform and core ML infrastructure from the ground up, ideally in a biomedical, healthcare or scientific computing domain, including model selection for productisation Exceptional interpersonal ...

looking for an engineer with experience in low-level systems programming and optimisation to join our growing ML team. Machine learning is a critical pillar of Jane Street's global business. Our ever-evolving trading environment serves as a unique, rapid-feedback platform for ML experimentation, allowing … passion for solving interesting problems, we have a feeling you'll fit right in. What we’re looking for: An understanding of modern ML techniques and toolsets. The experience and systems knowledge required to debug a training run's performance end to end. Low-level GPU knowledge of PTX, SASS ...

that were out of reach only a few years ago. We're also part of Penguin Random House's global community of AI and ML engineers, working with colleagues in the US and around the world to share tools, compare notes and shape how data science and AI are done … assistants, setting the standards, shared skills and workflows that let us move fast without cutting corners. You'll work hand in hand with our ML Engineers and ML Infrastructure Engineers: they build the models and the platform, and you build the AI products on top. You'll also ...

title: ML Systems Engineer - Model Training and Infrastructure (SWE-focused LLMs) Location: London; full in-office working as default Start date: ASAP Compensation: £80,000 - £110,000 Base Salary & £80,000 - £110,000 Share options. ___________________________________________________________________________ Help build the software engineers of the future Cosine is building autonomous AI engineers that … OpenAI’s SWE-Lancer benchmark, placing us among the strongest real-world software-engineering AI systems evaluated. We’re now looking for an ML Systems Engineer to help train the next generation of Lumen models. This is a highly hands‐on role at the intersection of machine learning ...

long-term research initiatives. As a Research Scientist, you will work on cutting-edge AI problems, pushing the boundaries of what is possible in machine learning and artificial intelligence to solve complex, real-world challenges. Visa sponsorship is not explicitly marked on this role. Relocation support … Advanced degree (PhD or equivalent) in Computer Science, AI, or related technical field, with a proven track record of research excellence.. Prepare examples for: Machine Learning, Deep Learning, Artificial Intelligence, Research & Development, Strategic Planning. Job Overview Research Scientist, Strategic Bets, DeepMind Job Type Full-time Category Research ...

deployment (Kubernetes) Experience building at scale in a fast-paced startup or high-growth environment Bonus: exposure to machine learning workflows or ML infrastructure Tech stack We are technology agnostic at Encord and not looking for experience across all of these — as long as you're open … learning, Backend: Python Frontend: TypeScript and React Deployment: Kubernetes Infrastructure: GCP Machine learning: PyTorch, CUDA, Ray Why Encord Competitive salary, commission, and meaningful equity in a high-growth startup Strong in-person culture — most of the team works from our London office 4+ days/week ...

needs. You will also influence senior stakeholders, shape roadmaps, and drive measurable outcomes across the organisation. Responsibilities Set AI and data science strategy across ML, NLP, search, recommendation, experimentation, and generative AI, aligning work to product goals, customer needs, and business priorities. Lead and develop high-performing teams by coaching … cross-functional leaders, shaping roadmaps, translating technical insights, and aligning teams on customer and business impact. Requirements Significant experience in data science, AI/ML, NLP, information retrieval, statistics, or a related quantitative field, or equivalent practical experience. Strong technical expertise across modern data science methods, including machine learning ...

person. Our Data Environment Our Data teams are aligned to divisions covering the following Banking Services & Products, Customer Identity & Financial Crime and Data & ML Engineering. Our Data teams are excited about delivering meaningful and impactful insights to both the business and more importantly our customers. Hear from the team … latest blogs or our case studies with Women in Tech. About the Role The ML Projects team is at the forefront of bringing cutting edge machine learning to the core of what we do at Starling. As a software engineer on the ML Projects team you will work ...

Senior Software Engineer with expertise in AWS and Python, and a passion for Machine Learning, to help engineer and deploy innovative ML solutions into production. You will join the Applied AI/ML Software Engineering team, collaborating with technology teams across the firm, contributing to both … ongoing projects. In this role, you will work alongside Data Scientists to build cloud-based frameworks for hosting machine learning models, providing software engineering expertise throughout the model development lifecycle. You will leverage both internal and external cloud platforms, utilizing proprietary and open-source tools to ensure models ...