151 to 175 of 1,144 Machine Learning Jobs in London

Overview Conduct original research in computer vision, machine learning, and spatial AI. Design, implement, and evaluate novel algorithms for 3D reconstruction, neural scene representations, 3D Gaussian Splatting, geometric deep learning, Structure-from-Motion (SfM), feed-forward models, and spatial foundation models. Collaborate with research scientists and engineers … constraints, and real customers. Publish research findings at leading conferences such as CVPR, ICCV, ECCV, or SIGGRAPH. Responsibilities Conduct original research in computer vision, machine learning, and spatial AI. Design, implement, and evaluate novel algorithms for 3D reconstruction, neural scene representations, 3D Gaussian Splatting, geometric deep learning ...

Qualifications Bachelor's degree in computer science, mathematics, physics, electrical engineering, machine learning or equivalent practical experience 5 years of experience with software development in one or more programming languages. 5 years of experience with training of Machine Learning models. Experience in industry or a research … working on machine learning problems and engineering workflows. Preferred Qualifications Experience with data analysis at scale, data visualization and data ingestion pipelines for training models. Experience with Large Language Models and notably Agents and Tools. Working knowledge of JAX/PyTorch or similar frameworks. About ...

largest real-time fraud detection platform to craft solutions for our enterprise customers. About the role: Your experience with data analysis, statistical modelling, and machine learning will lead to immediate real-world impact in the form of lower customer friction, reduced fraud losses and as a result, increased … machine learning model development, evaluation, and production deployment, with familiarity in MLOps principles to build scalable and standardised workflows and implement effective ML monitoring systems Proven ability to create polished presentations and effectively communicate insights to customers with attention to detail Have extensive multi-tasking and prioritisation skills. ...

working across the full lifecycle from data exploration through to model development validation plus deployment support. Responsibilities for the Data Scientist: Develop statistical models machine learning solutions analytical frameworks to address complex business problems Explore large structured semi-structured datasets to identify patterns trends predictive signals Build test … Data Scientist: Strong experience in data science using Python with libraries such as Pandas NumPy scikit-learn or similar Solid grounding in statistics probability machine learning techniques Proven experience working within cloud environments such as AWS Azure or GCP Experience working with SQL large analytical datasets Ability ...

Consultant roles are unique. The ideal candidate is a rare hybrid, a scientist with strong technical skills in AI and machine learning, the programming abilities to scrape, combine, and manage data from a variety of sources and a statistician who knows how to derive insights from the information … projects. Provide technical guidance and support to junior analysts. Be proficient in Python, stay up-to-date on the latest advancements in AI and machine learning. Utilize combined knowledge of data structures, analytics, algorithms/models, and strong computer science fundamentals to independently prepare datasets, conduct analytics, and develop ...

production, regularly working on prototypes with a short turnaround into customer-facing production. You will work alongside world‐class researchers in computer vision, machine learning, graphics, and robotics to develop new approaches for large-scale spatial understanding, localization, reconstruction, scene understanding, and geospatial foundation models. What … Conduct original research in computer vision, machine learning, and spatial AI. Design, implement, and evaluate novel algorithms for: 3D reconstruction Neural scene representations 3D Gaussian Splatting Geometric deep learning Structure-from-Motion (SfM) Feed-forward models Spatial foundation models Collaborate with research scientists and engineers to transition ...

design and validation of Agentic AI‐driven product capabilities within Protégé in PatentSight. This role focuses on defining what to build and why, leveraging machine learning, NLP, and large language models (LLMs) to solve complex Intellectual Property (IP) workflows. You will help drive experimentation, modeling, and evaluation, partnering … align solutions with user needs. Requirements: Degree in a quantitative or technical field (Statistics, Computer Science, Mathematics, Data Science, etc.). Strong experience in machine learning, NLP, and LLM‐based modeling. Strong experience designing and running experiments, including model evaluation and iteration. Strong coding skills in Python. Experience ...

part of this growth, they're looking for a Senior Data Architect to design and deliver enterprise-scale data platforms that power advanced analytics, machine learning and AI solutions. This is an opportunity to work on large-scale transformation programmes, influencing data strategy and architecture while working with … platforms. Define data architecture strategies, standards and governance. Deliver modern data solutions using Databricks , Snowflake , AWS and GCP . Enable advanced analytics, AI and machine learning capabilities. Work closely with engineering, data and business teams to deliver end-to-end solutions. Provide technical leadership throughout the project lifecycle. ...

you will shape the technical landscape and drive innovation across the organisation at Capital One. What you’ll do Own and drive the ML/AI technical strategy for UK use cases, spanning multiple teams and influencing the overall technical direction for AI adoption. Lead and coordinate ML engineering … platform capabilities and technology strategy. Provide technical consultancy to teams delivering AI use cases, guiding architectural decisions, solution design and effective use of enterprise ML/AI platforms and capabilities. Proactively identify emerging ML/AI patterns, define and evangelise best practices and establish reusable approaches that enhance delivery ...

Science Lead role within a fast growing fintech environment. You will play a key role in shaping credit risk strategy through advanced analytics and machine learning, with strong exposure to senior stakeholders and clear progression opportunities. The Company They are a scaling fintech business operating in the consumer … analytics capability. The Role Develop and enhance credit risk models including scorecards, behavioural, acquisition and fraud models Build predictive models using advanced statistical and machine learning techniques Deploy models into production using AWS SageMaker and collaborate with engineering teams Monitor model performance and ensure ongoing effectiveness across business ...

pace and become job-ready in as little as afew weeks. Our programme includes: Official AWS Certified Cloud Practitioner certification Training in Python, Machine Learning, and AI systems Hands-on projects using real-world AI tools and technologies Professional CV and LinkedIn support Interview preparation Dedicated recruitment support … cost of your training over 12 months so you can get qualified without financial pressure. Salary expectations: AI Engineer: £45,000 £60,000 Machine Learning Engineer: £60,000 £75,000 Progression into senior AI roles with higher earning potential We support you into employment We focus on outcomes ...

years of experience testing and launching software products, and 3 years of experience with software design and architecture. Experience in Artificial Intelligence/Machine Learning, Gen AI, and Software Engineering, including building agents, working with models, utilizing Vertex AI, and developing automation tools. Preferred qualifications Master’s degree … Intelligence (AI). In this role, you will help shape the future of businesses of all sizes using AI and Machine Learning (ML). The Google Cloud AI Research team addresses AI challenges motivated by Google Cloud’s mission of bringing AI to tech, healthcare, finance, retail ...

public safety sector. The Opportunity We're looking for a Data Scientist with strong experience in time-series analysis, signal processing and applied machine learning. This role focuses on transforming complex streams of telemetry data, including heart rate, movement, location and stress indicators, into meaningful behavioural and operational insights. … particularly interested in candidates with experience working on wearable technology, physiological data, telemetry platforms, IoT devices or other sensor-based environments. Key Responsibilities Develop machine learning models and inference systems using complex sensor and telemetry data. Analyse multivariate time-series datasets to identify behavioural patterns and operational insights. ...

years of experience testing, and launching software products, and 3 years of experience with software design and architecture. Experience in Artificial Intelligence/Machine Learning, Gen AI, and Software Engineering, including building agents, working with models, utilizing Vertex AI, and developing automation tools. Preferred qualifications: Master’s degree … Intelligence (AI). In this role, you will help shape the future of businesses of all sizes using AI and Machine Learning (ML). The company Cloud AI Research team addresses AI challenges motivated by the company Cloud’s mission of bringing AI to tech, healthcare, finance, retail ...

work across the full data lifecycle, helping clients modernise legacy estates, implement scalable cloud solutions and develop the foundations needed to support advanced analytics, machine learning and generative AI capabilities. What you'll be doing Designing and delivering enterprise-scale data, analytics and AI platforms in AWS environments. … batch and real-time streaming data processing. Creating API-first and microservices-based solutions that can scale with business demand. Supporting the adoption of Machine Learning, Generative AI, Foundation Models and Agentic AI approaches within enterprise environments. Advising clients on data governance, security, compliance and responsible AI practices. ...

home) Salary: £40,000 - £45,000 dependent on experience Ref: J13156 A global technology organisation is seeking a Data Scientist who wants to apply machine learning, simulation and advanced analytics to solve real-world operational challenges. This isn't a role where your work disappears into reports. This … insights support operational decision-making, while continuing to develop your technical capability in a complex real-world environment. You'll be involved in: ·Developing machine learning models to improve forecasting and operational planning ·Applying time-series analysis and feature engineering techniques across large datasets ·Building and improving discrete ...

Senior Software Engineer (Python) – Reducing Carbon Emissions with Machine Learning! Python on AWS £90-£110,000 per annum plus stock London Office - 1-2 days a week Are you a Senior Software Engineer with a passion for working with curious, humble colleagues to build exceptional customer-focused products … most exciting scale-ups to find them Senior Software Engineers with exceptional knowledge of building great products in Python on AWS. They use machine learning technology to help tackle climate change by reducing carbon emissions. They are at a critical period in their journey and will be growing ...

dependent on experience Ref: J13156 A global technology organisation is seeking a Simulation & Operational Modelling Scientist who wants to apply machine learning, simulation and advanced analytics to solve real-world operational challenges. This isn’t a role where your work disappears into reports. This is an opportunity … insights support operational decision-making, while continuing to develop your technical capability in a complex real-world environment. You’ll be involved in: Developing machine learning models to improve forecasting and operational planning Applying time-series analysis and feature engineering techniques across large datasets Building and improving discrete ...

Data Idols, we are working with a major UK retail and consumer brand undergoing a significant data and AI transformation, placing advanced analytics and machine learning at the centre of commercial decision‐making across the business. They are looking for a Data Science Manager to lead a high … Data Science Manager, you’ll lead both the technical direction and people development of the team, helping shape the roadmap for how machine learning and advanced analytics are applied across the organisation. You will be responsible for translating complex analytical outputs into clear, commercially focused recommendations, helping establish ...

retail brand that is investing heavily in customer data, personalisation, and AI to transform how it engages with millions of customers. Data and machine learning are at the heart of their strategy, driving more relevant customer experiences, personalised marketing, and customer-centric decision-making across the business. They … Opportunity As the Data Science Manager, you'll lead both the technical direction and development of the team, helping shape the roadmap for how machine learning and advanced analytics are used to better understand customers and deliver personalised experiences at scale. You will be responsible for translating complex ...

Enterprise Architect — Artificial Intelligence AI/ML Infrastructure, Platform & Governance Role Summary World Wide Technology is looking for a deeply technical Enterprise Architect who will own the delivery of AI projects end to end from the silicon and data center design that underpins AI workloads, through the software and MLOps … while mentoring delivery teams and shaping WWT's broader AI point of view. Key Responsibilities Own end-to-end technical delivery of AI/ML engagements: architecture definition, design authority, build oversight, and go-live validation. Host and chair Architecture Review Board (ARB) and Technical Design Authority (TDA) sessions ...

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 time compute, CoT pipelines, Tool use & API calling … Research Scientist Manager, you will play a key part in leading a diverse global team of experts. We hire world-leading specialists in ML/NLP/GenAI, as well as Engineering, to drive the company’s leading internal AI model development. You will have the opportunity to publish your ...

Research ML Engineer Build foundational technologies for enterprise superintelligence London | Full-time | Pavo Labs About Pavo Pavo is building Enterprise Superintelligence: compounding systems that take ownership of business outcomes and work with humans to deliver them. We believe that while foundation models are necessary, they are not sufficient. The hard … experience. We are assembling a small, senior team of researchers and engineers obsessed with systems-first intelligence. Our current team consists of PhDs and ML engineers from top applied ML and coding agent companies, with a heritage of shipping systems at Spotify, ShareChat, and Sourcegraph scale. Our team has built ...

machine‐learning models to predict claims outcomes, fraud and other risk KPIs, including creating novel features from raw telematics data. Collaborate with ML Engineers to deploy ML models. Monitor deployed ML models and link performance to commercial and customer outcomes. Present work to Operational and Commercial stakeholders. Explore … technologies and contribute to setting the team’s best practices. Essential Skills & Experience Proficiency in Python and experience with ML libraries for building and deploying machine‐learning solutions in cloud environments. Experience using SQL. Ability to communicate and collaborate across teams of Data Scientists, Data Engineers, ML Engineers ...

About the role The AI & ML Engineering team accelerates the adoption of AI across the business, championing innovation while ensuring our machine learning solutions are robust, scalable, and cost-efficient. We enable teams to solve problems using existing AI tools where possible and build custom solutions when needed. … remit spans AI enablement, agentic systems development, and “conventional” ML engineering for non-GenAI applications e.g. recommender systems, forecasting models, and more. We’re looking for an AI & ML Engineer who is passionate about building production‐ready AI and machine learning solutions. You'll work across a variety ...