3,226 to 3,250 of 3,532 Machine Learning Jobs in London

experience with large language models (LLMs) - such as training, fine‐tuning, evaluation, or safety research. A demonstratedtrack recordof peer-reviewed publications in top‐tier ML conferences or journals. Ability and experience writing clean, documented research code for machine learning experiments including experience with ML frameworks likePyTorchor evaluation frameworks ...

partnering directly with Google to hire for this role. At Google DeepMind our mission is to build the world's first general-purpose learning agent. Central to this mission is the complex task of measuring the intelligence of our prototypes. As a Software Engineer, you will be working with … cutting edge xxuwjjq AI agents developed by our exceptional team of Machine Learning and Neuroscience r... Below, you will find a complete breakdown of everything required of potential candidates, as well as how to apply Good luck. ...

Looking for a deep learning role that could make the Mariana trench seem like a puddle? This global investment manager hires asset class experts, such as an ex-portfolio manager from a Tier 1 hedge fund to grow and manage risk. You’re going to be part of headcount … growth this year to over 1000 which includes a 20% increase into research. You’ll collaborate to develop different machine learning models for trading strategies and create high quality signals. You'll be working at an MFT systematic multi-strat fund whose performance has been top tier over ...

whiteboard and figuring things out from first principles. Who thrives on the pace and ambiguity of working in a startup environment. Experienced taking ML concepts from "works on my laptop" to real production systems. You know about the unglamorous parts, like data pipelines, evals and maybe even statistics. Calm when … growing revenue, and ensuring everything is secure. We think we’re best placed to do this with our agentic multimodal approach. This effort spans ML, real physical hardware, and software development. If you’re excited by the idea of teaching computers to understand, reason and interact with digital interfaces ...

experience with large language models (LLMs) - such as training, fine-tuning, evaluation, or safety research. A demonstratedtrack recordof peer-reviewed publications in top-tier ML conferences or journals. Ability and experience writing clean, documented research code for machine learning experiments, including experience with ML frameworks likePyTorchor evaluation frameworks ...

candidate for Founding Full-Stack iOS Engineer. This is a full time position. Work location: USA.The role typically involves technologies such as Swift, iOS, Machine Learning, MEAN.## Required Skills### Primary Skills* Swift* iOS### Secondary Skills* Machine Learning* MEANSkills required for this role include Swift, iOS, Machine Learning, and related tools for day-to-day development.## Job Details* **Employment Type:** Full Time* **Location:** USA* **Salary:** $25000 – $40000 USD## Tech StackSwift, iOS, Machine Learning, MEAN## Role detailsABOUT THE ROLEA Y Combinator-backed consumer wearable AI startup is hiring a Founding Full-Stack iOS Engineer ...

ready insights at scale, collaborating with product, analytics, and business partners to refine how Spotify plans and delivers. You will apply statistical models and machine learning, build data models and dashboards, and develop narratives that explain the why behind the numbers. #J-18808-Ljbffr ...

products. Familiarity with machine learning systems and how to integrate model outputs into production products, although the Platform team owns the core ML layer. Experience working with privacy-sensitive or regulated data, including consent, security, governance, and data-quality considerations. The Deal Competitive and meaningful compensation package ...

London. In this role, you'll make an impact in the following ways: Lead complex data analysis initiatives using advanced statistical techniques and machine learning models to generate actionable in click apply for full job details ...

domain. A generalist mindset with the willingness to work across product, design, and AI boundaries. Experience building modern agentic systems or reasoning through complex ML products. A track record of working on products generating £millions in ARR with high growth. Rapid career progression - such as moving from junior to senior … office. A cycle-to-work scheme and flexible working hours. Reasons We Might Not Be For You We don't have established machine learning infrastructure or a polished corporate playbook - so if you need a well-defined role with clear boundaries, you might find the ambiguity frustrating. ...

company is building systems to help organisations detect and respond to disinformation attacks in real time. The platform combines machine learning, proprietary knowledge of attack and defence techniques, and large-scale, high-throughput data analysis. The founding team brings over forty years of combined experience building data systems … Backend-leaning full-stack - comfortable on the frontend, strongest in the backend Go is preferred - candidates with Go experience are prioritised; genuine interest in learning Go is equally welcome Versatility across languages is a positive signal; C# or Java backgrounds are fine if you're motivated to move ...

rider pay, incentives, and demand with impact across the marketplace. The role reports to a Senior Data Science Manager and partners with Operations, Product, Machine Learning and Engineering to deliver measurable decisions and improvements. #J-18808-Ljbffr ...

exceptional engineers with groundbreaking businesses that are shaping the future. We operate across Cloud (DevOps, SRE, Platform Engineering, DevSecOps, Performance Engineering) and Data & AI (Machine Learning, MLOps, Data Engineering, AI Research, and related domains). Through our portfolio of innovative startups and our corporate venture arm (Harrison Clarke … experience placing technical talent into startups or technology companies Strong domain knowledge or demonstrable interest in Cloud, Data, AI, DevOps/SRE, Platform Engineering, Machine Learning or related fields Excellent stakeholder management skills, comfortable engaging at founder and senior engineering leadership level Entrepreneurial attitude with a genuine desire ...

000London Machine Learning Engineer – Autonomous Systemsð London | Liverpool Street | Hybrid – 3 days per weekWant to build ML that actually leaves the lab I’m representing a technology company developing advanced autonomous systems across air, land and maritime platforms. They’re growing their ML team in London and hiring … across ML Engineering, MLOps and Data Engineering.Why it’s interestingDeploy ML onto real autonomous systemsWork across deep learning, computer vision and embedded AISolve problems involving imagery, LiDAR, telemetry and sensor dataWork closely with hardware and systems engineersTake models from training through to real-world deploymentWhat you could work onDepending ...

deciding what data the models need, curating and evaluating training datasets, fine-tuning models for real biological applications, and working directly with ML engineers and biologists to translate biological questions into model objectives. Requirements You have built novel deep learning architectures or frameworks applied to genomics or protein modelling. … large-scale biological models Deep learning must be a core competency, not a secondary skill. Strong biology alone is not sufficient, and general ML experience without biological applications won't translate. Strong Preferences Published work applying deep learning to functional genomics or variant effect prediction Experience with protein ...

implement innovative technology solutions while ensuring appropriate governance and regulatory compliance. Core Responsibilities Technology Innovation: Drive the evaluation, development, and implementation of AI, machine learning, automation, and emerging technologies to improve operational efficiency, service delivery, and innovation across all MMS service lines. Process and Automation Efficiency: Focus … operational excellence, digital transformation, artificial intelligence, or a related field. Significant hands-on experience driving AI strategy, implementing AI technologies, AI agents, automation, or machine learning solutions within an enterprise environment. Strong understanding of artificial intelligence, machine learning, automation technologies, and their practical application to improve ...

fight fraud — building models, experiments, and detection systems that protect millions of customers and merchants on our platform. This high-impact role merges machine learning, product, and engineering to shape how we detect and respond to evolving fraud threats. You are data-driven and energized by hard problems ...

DeepL is seeking a Senior Research Scientist to lead fine-tuning, post-training, and reinforcement learning for its document translation multimodal and vision models. You will develop models that reason about … document layout, fuse data sources, and drive breakthroughs from prototype to deployment. The role requires hands-on research, strong coding skills in Python and ML frameworks, and the ability to align research with product impact and real-world performance. #J-18808-Ljbffr ...

leading electric vehicle manufacturer based in Greater London seeks an experienced Perception Engineer. The role involves developing machine learning algorithms that directly impact safety-critical self-driving features. Candidates should have a strong background in C++ and Python, along with extensive experience in robotics and perception systems. This ...

Stott and May is seeking a Lead Product Data Scientist to drive AI, machine learning and optimisation initiatives in a hybrid West London setting. The role combines hands-on modelling with leadership of data science and engineering teams to deliver data-driven products that improve decision-making ...

Science should have: Proven experience leading and developing high-performing Data Science teams within a commercial environment. Strong track record of delivering data science, machine learning, and analytics solutions that generate measurable business value. Demonstrated ability to take products and projects from concept through to implementation, adoption … solving and decision-making skills, with a proven ability to remove obstacles and drive projects to successful delivery. Deep technical expertise in Data Science, machine learning, predictive analytics, and modern data technologies, combined with the ability to communicate complex concepts in a clear and practical way. Job Offer ...

build a long-term roadmap. Coordinate execution and collaborate across teams to unblock cross-cutting projects. Resource management infrastructure powering the big data and machine learning workloads on the Databricks platform in a scalable, secure, and cloud-agnostic way Lead development of reliable, scalable services and client libraries … Build tools to allow Databricks engineers to operate their services across different clouds and environments Build services, products and infrastructure at the intersection of machine learning and distributed systems. What we look for: 5+ years of Engineering experience and 2+ years of Engineering Management experience. Experience with large ...

Science should have: Proven experience leading and developing high-performing Data Science teams within a commercial environment. Strong track record of delivering data science, machine learning, and analytics solutions that generate measurable business value. Demonstrated ability to take products and projects from concept through to implementation, adoption … solving and decision-making skills, with a proven ability to remove obstacles and drive projects to successful delivery. Deep technical expertise in Data Science, machine learning, predictive analytics, and modern data technologies, combined with the ability to communicate complex concepts in a clear and practical way. Job Offer ...

shelf tools such as QlikView, Tableau or D3, and create internal tools for data visualisation and explorationPerform statistical analysis and implement machine learning algorithms for finding trading strategiesThis role will give you massive exposure to trading in the front office as well as a niche understanding of commodities … Developers MUST have:A degree in computer science or a quantitative subjectAt least 2 years’ programming experience, ideally in PythonExperience of data analysis or machine learningExperience of financial markets, statistics and big dataMy client is based in LondonJunior Quant Developer, Quantitative ...

Data Science organisation sits at the heart of Deliveroo, powering decision-making across product, commercial and operational teams through experimentation, causal inference and applied machine learning. We’re hiring a Data Science Manager to join our Delivery team. Delivery is responsible for making sure we have the right rider … sits within the wider Delivery Data Science team. You’ll report to a Senior Data Science Manager and partner closely with Operations, Product, Machine Learning and Engineering teams. What You’ll Be Doing You’ll own the analytical direction and impact of a defined area within Delivery, while ...