426 to 450 of 2,702 Machine Learning Jobs in London

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 ...

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 ...

seeking an experienced and adaptable machine learning (ML) and artificial intelligence (AI) engineering professional to join a nimble and best‐in‐class data team at The Beatport Group. The role will report to the Director of Intelligence Engineering and will share in the ownership and delivery of cutting … edge, scalable ML/AI models. Initial Workstreams Recommendations and personalization Search optimization Audio modeling As a Senior ML & AI Engineer, you will be responsible for: Developing and implementing ML and AI based solutions to enhance and optimize the Beatport customer experience, including semantic search, content recommendation/personalization engines ...

equivalent practical experience. 8 years of software development experience, including system design, data structures, and algorithms. 7 years of experience leading technical project strategy, ML design, and optimizing industry-scale ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning). 5 years of experience in a technical … leadership role. Preferred qualifications: 5 years of experience with one or more of the following: media generation, reinforcement learning (e.g., sequential decision making), ML infrastructure, or specialization in another ML field. Experience with generative AI research or applications. Experience evaluating model performance, analyzing results, and implementing improvements. Experience with ...

equivalent practical experience. 8 years of software development experience, including system design, data structures, and algorithms. 7 years of experience leading technical project strategy, ML design, and optimizing industry-scale ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning). 5 years of experience in a technical … leadership role. Preferred qualifications: 5 years of experience with one or more of the following: media generation, reinforcement learning (e.g., sequential decision making), ML infrastructure, or specialization in another ML field. Experience with generative AI research or applications. Experience evaluating model performance, analyzing results, and implementing improvements. Experience with ...

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 ...

5+ years of Product Management experience delivering technical products, data products, analytics solutions, AI-powered applications, or enterprise software. Experience working within analytics, data, machine learning, AI, or other technical product domains. Strong understanding of how users interact with data and analytics products to answer questions, generate insights … define requirements, prioritize work, and deliver products iteratively. Strong familiarity with modern AI technologies, including generative AI, Large Language Models (LLMs), conversational AI, or machine learning-powered experiences. Understanding of concepts such as retrieval-augmented generation (RAG), AI agents, orchestration frameworks, evaluation approaches, or similar AI product patterns. ...

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 ...

equivalent practical experience. 8 years of software development experience, including system design, data structures, and algorithms. 7 years of experience leading technical project strategy, ML design, and optimizing industry-scale ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning). 5 years of experience in a technical … leadership role. Preferred qualifications: 5 years of experience with one or more of the following: media generation, reinforcement learning (e.g., sequential decision making), ML infrastructure, or specialization in another ML field. Experience with generative AI research or applications. Experience evaluating model performance, analyzing results, and implementing improvements. Experience with ...

experience building and deploying machine learning or AI systems in a production environment. Proficiency in Python and experience with relevant AI/ML frameworks such as PyTorch, TensorFlow, or JAX. A strong foundation in machine learning principles, deep learning architectures, and natural language processing, particularly … testing through Galleri Competitive pension scheme and company contribution Annual work-life stipends for: Wellness stipend for gym, massage/chiropractor, personal training, etc. Learning and development stipend Company-wide off-sites and team off-sites Competitive compensation and company stock options #J-18808-Ljbffr ...

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 … right in. There’s no fixed set of skills, but here are some of the things 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 ...

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 ...

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 ...

that turn car insurance into an engaging product rather than a box to tick. We own the full telematics stack (mobile SDK, on-device ML, cloud pipeline) and the full pricing stack. So we can link driving behaviour directly to claim type, frequency and severity, and feed one system … agenda and own the technical direction of that work, reporting to the Director of Data. You will lead three data scientists directly and three ML engineers with a dotted line to you. The split is roughly 60% leading, 40% hands-on. Our long-term ambition is driving behaviour modelling that ...

Research Scientist/Engineer - Agent Systems & Reinforcement Learning Location: London Salary: £ per annum + permanent benefits + bonus Job Type: Permanent, Full-Time, On-site About the Opportunity We are partnering with a leading AI research organisation focused on developing sustainable, generalisable and evolvable Agent systems that represent … execution. This is an exceptional opportunity to join a world-class research environment working at the intersection of Agents, Large Language Models, Reinforcement Learning and Autonomous Systems , contributing to cutting-edge research that could play a significant role in advancing the path towards Artificial General Intelligence (AGI). ...

Research Scientist/Engineer - Agent Systems & Reinforcement Learning Location: London Salary: £(phone number removed) per annum + permanent benefits + bonus Job Type: Permanent, Full-Time, On-site About the Opportunity We are partnering with a leading AI research organisation focused on developing sustainable, generalisable and evolvable Agent systems … execution. This is an exceptional opportunity to join a world-class research environment working at the intersection of Agents, Large Language Models, Reinforcement Learning and Autonomous Systems , contributing to cutting-edge research that could play a significant role in advancing the path towards Artificial General Intelligence (AGI). ...

Qureight Ltd seeks a Senior Machine Learning Scientist to research, develop and specialise state-of-the-art deep learning models for volumetric CT data, focusing on foundation-model pre-training, supervised model specialisation, segmentation, classification … biomarker extraction pipelines that support clinical-trial and real-world evidence programmes. You will work within the Machine Learning function alongside ML Engineers, Data Scientists and Imaging Specialists to translate research ideas #J-18808-Ljbffr ...

clients and with the communities in which we work and live. It is personal to all of us." – Julie Sweet, Accenture CEOKey responsibilities · Deploy machine learning models to production and implement measures to monitor their performance · Implement ETL pipelines and orchestrate data flows using batch and streaming technologies … Infrastructure as Code tools (e.g. Terraform or CloudFormation) · Strong understanding of data modelling and system architecture · Demonstrable experience on at least one AI/ML project · Knowledge of common machine learning frameworks and models · A good understanding of approaches to monitoring ML models in production · Experience leading ...

with the communities in which we work and live. It is personal to all of us." - Julie Sweet, Accenture CEO Key responsibilities - Deploy machine learning models to production and implement measures to monitor their performance - Implement ETL pipelines and orchestrate data flows using batch and streaming technologies based … Infrastructure as Code tools (e.g. Terraform or CloudFormation) - Strong understanding of data modelling and system architecture - Demonstrable experience on at least one AI/ML project - Knowledge of common machine learning frameworks and models - A good understanding of approaches to monitoring ML models in production - Experience leading ...

Machine Learning Engineer to support delivery and operationalisation of advanced AI solutions for our Kingfisher brands. You will help build scalable ML systems, ensuring models run in live environments. Join a high-performing engineering team collaborating with product and architecture to accelerate AI adoption across B&Q, Screwfix ...

often side‐by‐side with them on‐site) to embed cutting‐edge AI models into tools that are useful and used. You’ve shipped ML systems end‐to‐end and at scale: you design, build and test reliable, scalable ML data pipelines; you know how to explore and manipulate … will iterate with customers and use your influence to drive decisions around reliable deployment with measurable outcomes. You’ll: Own the deployment of ML models and engineering surrogates (e.g., deep learning on CAE/CFD/FEA data, time-series forecasting, anomaly detection, optimization & control) to customer production environments. ...

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. Excellent technical expertise across modern data science methods, including machine learning ...

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 ...