126 to 150 of 310 Machine Learning Jobs in Central London

and static code analysis tools (e.g. SonarQube) Agile methodologies (Scrum, Kanban, Lean) Desirable Skills Cloud platforms: AWS, Azure Containerisation: Docker, Kubernetes Machine Learning frameworks (AWS/Azure ML, TensorFlow) Relational, document, or graph databases Configuration management and deployment (Ansible) If you are a DV-clearable Senior Platform Engineer ready to make your expertise count in a challenging and More ❯

and Transaction Monitoring. Advisory Services: Offer consulting on compliance scalability, operating models, regulatory guardrails, compliance governance, and integrated data management. Technology Integration: Leverage cutting-edge platforms, including AI and machine learning models, to deliver state-of-the-art compliance solutions. Thought Leadership: Represent Capgemini as a thought leader in financial crime and compliance at industry events, conferences, and … client interaction, problem-solving, and communication skills, with experience working with C-level stakeholders. Educational Background: Data science or STEM degree preferred, with a solid foundation in compliance, AI, ML, and advanced analytics. Innovation and Thought Leadership: Passionate about cutting-edge compliance advancements and delivering innovative business solutions to complex challenges. Expertise in compliance frameworks and AI applications. Experience in More ❯

and Transaction Monitoring. Advisory Services: Offer consulting on compliance scalability, operating models, regulatory guardrails, compliance governance, and integrated data management. Technology Integration: Leverage cutting-edge platforms, including AI and machine learning models, to deliver state-of-the-art compliance solutions. Thought Leadership: Represent Capgemini as a thought leader in financial crime and compliance at industry events, conferences, and … client interaction, problem-solving, and communication skills, with experience working with C-level stakeholders. Educational Background: Data science or STEM degree preferred, with a solid foundation in compliance, AI, ML, and advanced analytics. Innovation and Thought Leadership: Passionate about cutting-edge compliance advancements and delivering innovative business solutions to complex challenges. Expertise in compliance frameworks and AI applications. Experience in More ❯

BDD, Performance/Load testing etc. " DevOps experience - CI/CD, Test Automation, Containerization - tools and processes " Should be conversant with emerging technologies - chatbots, voice/conversational interfaces, RPA, Machine Learning, etc. " In-depth, hands-on experience in developing web/mobile applications or platform with either Java/J2EE or .NET tech stack and database technologies such More ❯

First, PN is moving to a Product based model to create business facing digital capabilities. Develop and maintain robust data pipelines and storage solutions to support data analytics and machine learning initiatives. Reporting to the Director-Data engineering solution, The role operates globally in collaboration with teams engineering teams across core products. Technical Leadership - Provide strong technical leadership More ❯

line into the C-suite. The group is undergoing a data transformation journey, bringing previously siloed teams together under a centralised data model, with growing investment in AI and machine learning. You’ll be a key influencer in setting the strategic direction for Data Science & AI across the group, supporting adoption, building capability, and enabling commercial impact. Day-to … Acting as a strategic advisor to C-suite stakeholders, advocating for AI and data-driven decision making Working closely with innovation and product teams to identify and deliver impactful ML and AI use cases Supporting the rollout of an AI-powered platform that automates insights and trends from structured and unstructured data Overseeing predictive machine learning initiatives and More ❯

What You’ll Do Develop and deploy predictive models using behavioural and real-world data Translate complex datasets into actionable insights that improve healthcare outcomes Contribute to the full ML lifecycle, from data wrangling and feature engineering to model deployment and monitoring Collaborate with engineering and product teams to ensure models are integrated into production systems via scalable pipelines Champion … best practices in MLOps, including CI/CD for ML, model versioning, testing, and monitoring Design experiments (A/B testing, uplift modelling) to measure impact and optimize performance What We’re Looking For PhD background in a relevant field Proven commercial in data science, with a strong foundation in predictive modelling and machine learning Proven experience working More ❯

ve assembled a world-class team from Cambridge, MIT, and Google across software, data science, theoretical physics, and computational geometry to build tools that transform large-scale engineering through machine learning and generative AI. They are now looking for a Senior Frontend Engineer with a passion for functional programming and elegant, performant user interfaces. The frontend stack includes … or related discipline) from a leading university, or equivalent practical experience Ability to commute to London once a week Nice-to-haves : OpenGL, Vulkan, Python, Tailwind CSS, AI/ML exposure This role is ideal for someone sharp, pragmatic, and passionate about engineering and design. You'll join a fast-paced startup culture that values learning, experimentation, and collaboration More ❯

footballers’ legs. Ki’s mission is simple. Digitally disrupt and revolutionise a 335-year-old market. Working with Google and UCL, Ki has created a platform that uses algorithms, machine learning and large language models to give insurance brokers quotes in seconds, rather than days. Ki is proudly the biggest global algorithmic insurance carrier. It is the fastest More ❯

footballers’ legs. Ki’s mission is simple. Digitally disrupt and revolutionise a 335-year-old market. Working with Google and UCL, Ki has created a platform that uses algorithms, machine learning and large language models to give insurance brokers quotes in seconds, rather than days. Ki is proudly the biggest global algorithmic insurance carrier. It is the fastest More ❯

and capabilities that these typically solve for Familiarity with one or more of the hyperscale cloud platforms (Azure, AWS, GCP) Knowledge of emerging efficiency driving technologies such as AI, Machine Learning, and/or intelligent automation Proven aptitude in business development , encompassing account planning, pitches, and proposals. Your Key Abilities: Exceptional interpersonal skills spanning organizational levels, including ability More ❯

and capabilities that these typically solve for Familiarity with one or more of the hyperscale cloud platforms (Azure, AWS, GCP) Knowledge of emerging efficiency driving technologies such as AI, Machine Learning, and/or intelligent automation Proven aptitude in business development , encompassing account planning, pitches, and proposals. Your Key Abilities: Exceptional interpersonal skills spanning organizational levels, including ability More ❯

data models to provide strategic insights. * Integrate cutting-edge technologies like AI, real-time analytics, and automation into our data infrastructure. * Lead operational AI initiatives, including the development of machine learning models for predictive analytics. Technical Skills: * Proficiency in cloud platforms (Azure, AWS, or GCP) and data processing services. * Advanced skills in Power BI, including DAX, Power Query … and data modelling. * Strong programming abilities in Python, SQL, and/or Scala. * Expertise in ETL/ELT processes, data warehousing, and data mesh architectures. * Familiarity with AI/ML concepts and their application in data analytics. * Experience with metadata management, data lineage tracking, and data cataloguing. * Knowledge of serverless data processing, event-driven architectures, and modern data stacks. In More ❯

performance metrics to stakeholders. Automating data analysis and reporting workflows using Python scripting and CI/CD tools like GitHub Actions. Staying current with the latest research in deep learning and statistical analysis to drive innovation. Your analytical rigor will be critical to advancing … Ultralytics' mission to make AI easy and accessible for everyone. 🛠️ Skills and Experience 5+ years of experience in a data science or analytics role, preferably within the AI/ML industry. Expert-level proficiency in Python and extensive experience with data science libraries such as Pandas, NumPy, and Scikit-learn. Deep hands-on experience with deep learning frameworks, particularly … projects. Gear: Brand-new Apple MacBook and Apple Display provided. Team : Become part of a supportive and passionate team environment. If you are driven to redefine the capabilities of machine learning and eager to make a significant impact, Ultralytics offers an exceptional career opportunity. More ❯

performance metrics to stakeholders. Automating data analysis and reporting workflows using Python scripting and CI/CD tools like GitHub Actions. Staying current with the latest research in deep learning and statistical analysis to drive innovation. Your analytical rigor will be critical to advancing … Ultralytics' mission to make AI easy and accessible for everyone. 🛠️ Skills and Experience 5+ years of experience in a data science or analytics role, preferably within the AI/ML industry. Expert-level proficiency in Python and extensive experience with data science libraries such as Pandas, NumPy, and Scikit-learn. Deep hands-on experience with deep learning frameworks, particularly … projects. Gear: Brand-new Apple MacBook and Apple Display provided. Team : Become part of a supportive and passionate team environment. If you are driven to redefine the capabilities of machine learning and eager to make a significant impact, Ultralytics offers an exceptional career opportunity. More ❯

The ideal candidate's favorite words are learning, data, scale, and agility. You will leverage your strong collaboration skills and ability to extract valuable insights from highly complex data sets to ask the right questions and find the right answers. Responsibilities Analyze raw data: assessing quality, cleansing, structuring for downstream processing Design accurate and scalable prediction algorithms Collaborate with … equivalent experience in quantative field (Statistics, Mathematics, Computer Science, Engineering, etc.) At least 1 - 2 years' of experience in quantitative analytics or data modeling Deep understanding of predictive modeling, machine-learning, clustering and classification techniques, and algorithms Fluency in a programming language (Python, C,C++, Java, SQL) Familiarity with Big Data frameworks and visualization tools (Cassandra, Hadoop, Spark More ❯

The ideal candidate's favorite words are learning, data, scale, and agility. You will leverage your strong collaboration skills and ability to extract valuable insights from highly complex data sets to ask the right questions and find the right answers. Responsibilities Analyze raw data: assessing quality, cleansing, structuring for downstream processing Design accurate and scalable prediction algorithms Collaborate with … equivalent experience in quantative field (Statistics, Mathematics, Computer Science, Engineering, etc.) At least 1 - 2 years' of experience in quantitative analytics or data modeling Deep understanding of predictive modeling, machine-learning, clustering and classification techniques, and algorithms Fluency in a programming language (Python, C,C++, Java, SQL) Familiarity with Big Data frameworks and visualization tools (Cassandra, Hadoop, Spark More ❯

and reporting dashboards. Excellent communication, organisation, and problem-solving skills. A strong quantitative background (STEM degree or equivalent skills). Desirable but not essential: Knowledge of Data Engineering and machine learning pipelines. Experience with .NET, Python, or R. Familiarity with the US gaming industry products ✨ We’re committed to building a workplace where everyone can thrive , regardless of More ❯

and reporting dashboards. Excellent communication, organisation, and problem-solving skills. A strong quantitative background (STEM degree or equivalent skills). Desirable but not essential: Knowledge of Data Engineering and machine learning pipelines. Experience with .NET, Python, or R. Familiarity with the US gaming industry products ✨ We’re committed to building a workplace where everyone can thrive , regardless of More ❯

still being hands on with technology. We aim to allow growth without becoming “post-technical”. Responsibilities: Collaborate with Data Scientists and Engineers to deliver production quality AI and Machine Learning systems Build frameworks and supporting tooling for data ingestion from a complex variety of sources Consult with our clients on data strategy, modernising their data infrastructure, architecture More ❯

still being hands on with technology. We aim to allow growth without becoming “post-technical”. Responsibilities: Collaborate with Data Scientists and Engineers to deliver production quality AI and Machine Learning systems Build frameworks and supporting tooling for data ingestion from a complex variety of sources Consult with our clients on data strategy, modernising their data infrastructure, architecture More ❯

platforms, and global partners. Developing GPU-powered algorithms for high-performance modelling at scale. Exploring applications of Large Language Models (LLMs) in media and measurement contexts. Designing and implementing machine learning solutions that enhance our product capabilities and operational intelligence. As part of a collaborative and technically strong team, you’ll work closely with engineers, product managers, and … world impact—this is a great fit for someone who wants to build, experiment, and push boundaries in applied data science. Key Responsibilities Design, prototype, and optimise statistical and ML models for integration into production workflows. Explore and apply LLMs and emerging AI techniques to enhance media and audience measurement use cases. Collaborate with cross-functional teams to ensure model … in model development. Take ownership of project areas while working in a collaborative, face-to-face, and iterative development environment. Skills & Experience Strong foundation in applied mathematics, statistics, or machine learning. Experience building and deploying models in Python (pandas, NumPy, scikit-learn, etc.). Comfort working with large and complex datasets, including data wrangling and exploratory analysis. Experience (or More ❯

platforms, and global partners. Developing GPU-powered algorithms for high-performance modelling at scale. Exploring applications of Large Language Models (LLMs) in media and measurement contexts. Designing and implementing machine learning solutions that enhance our product capabilities and operational intelligence. As part of a collaborative and technically strong team, you’ll work closely with engineers, product managers, and … world impact—this is a great fit for someone who wants to build, experiment, and push boundaries in applied data science. Key Responsibilities Design, prototype, and optimise statistical and ML models for integration into production workflows. Explore and apply LLMs and emerging AI techniques to enhance media and audience measurement use cases. Collaborate with cross-functional teams to ensure model … in model development. Take ownership of project areas while working in a collaborative, face-to-face, and iterative development environment. Skills & Experience Strong foundation in applied mathematics, statistics, or machine learning. Experience building and deploying models in Python (pandas, NumPy, scikit-learn, etc.). Comfort working with large and complex datasets, including data wrangling and exploratory analysis. Experience (or More ❯

+ 10% bonus + 10% Pension + Private Healthcare LONDON - 4 Days in office Lead a growing team of AI Scientists working on high-impact, AI driven machine learning models to drive innovation in the BioTech space - specifically around drug discovery and RNA sequencing ROLE AND RESPONSIBILITIES Working closely within a small team, to design and build models More ❯

intelligent, scalable solutions powered by cutting-edge AI tools. The Candidate Key attributes of the suitable Data Scientist include: Strong Data Science Foundations – bring solid grounding in statistics and machine learning, along with strong programming skills – Python preferred. Passion for Cutting-Edge AI – You actively experiment with and apply modern AI technologies such as LLMs, RAGs, co-pilots More ❯