3,226 to 3,250 of 3,522 Machine Learning Jobs in London

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 ...

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 supply … 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 DoingYou’ll own the analytical direction and impact of a defined area within Delivery, while leading ...

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 DoingYou'll own the analytical direction and impact of a defined area within Delivery, while leading ...

Integrating our high‐ and low‐frequency systems for more optimal trading Re‐architecting systems to provide a seamless path from research to production for machine‐learning models Enabling large‐scale distributed training of machine‐learning models Contributing back to open‐source projects Ideal Candidate Deliver high ...

Senior Statistician at Optimizely, you will collaborate with product managers and engineering teams to design and implement new statistical and machine learning features across the product suite. You will partner with academic researchers to explore cutting-edge statistical methods and identify emerging trends in experimentation. Additionally, you will ...

power grid against a hurricane or thunderstorm before the clouds even gather. That is the reality we are creating at Neara. We use advanced machine learning to create engineering-grade, physics enabled digital twins of electricity grids across four continents, this helps asset owners understand their biggest challenges … future. Our team is a collection of brilliant minds who are fanatical about making a tangible difference in the real world, utilising AI and machine learning to accelerate everything from data classification to complex scenario analysis. We have built a special culture where innovation thrives because everyone owns ...

their research and work with our commercial teams to deliver great products that people love. Our Data Science team are responsible for the fashion machine-learning architectures at Lyst. This includes researching, modelling and deploying performant production-worthy systems. Their services are the most called microservices across Lyst … allowing us to search 40 million images in < 100ms via the deep learning models we've built. You will be helping us to expand our search and recommendations offerings by guiding the engineering teams whilst working with stakeholders on the commercial and marketing arms to ensure we build products ...

take their research and work with our commercial teams to deliver great products that people love.Our Data Science team are responsible for the fashion machine-learning architectures at Lyst. This includes researching, modelling and deploying performant production-worthy systems.Their services are the most called microservices across Lyst, allowing … search 40 million images in < 100ms via the deep learning models we've built.You will be helping us to expand our search and recommendations offerings by guiding the engineering teams whilst working with stakeholders on the commercial and marketing arms to ensure we build products that our users need.We ...

collect, enhance, train, translate, and localize content to build better AI models. Become part of our growing community and make an impact supporting the machine learning models of some of the world’s largest brands Qualification path No previous professional experience is required to apply to this role … open book qualification exam that will determine your suitability for the position and complete ID verification. Our team will provide you with guidelines and learning materials before your qualification exam. You will be required to complete the exam in a specific timeframe but at your convenience. Equal Opportunity ...

relentlessly resourceful to solve problems and find smarter solutions than the status quoBuild the best technology in-house, using new data sources, machine learning and AI to make machines do the heavy liftingAbout the role:We’re hiring new financial crime investigators due to continued business growth.You … implementing solutions, including the use of automation and AI technologies to enhance efficiency and effectiveness in financial crime prevention.Demonstrated ability to leverage data, machine learning, and AI to develop and optimise strategies for fraud and financial crime detection and prevention.The interview processWe’re not a corporation ...