101 to 125 of 494 Machine Learning Jobs in London

faster than anyone else. • The role will require and involve the use of standard, as well as advanced analytics techniques, including the use of machine learning model development, to support commercial objectives and optimise customer experiences. • Through your team, you will drive the advanced analytics agenda, being transformational … sectors and industries, in addition to also having very strong experience of financial services products • Comprehensive understanding of creating and deploying analytical outputs e.g., ML models and Data Assets • Understanding of best-in-class visualisation tools and how these can be best leverage to derive insights • Experience of building and … on a vision with forward planning to achieve results • Technical knowledge of big data platforms (e.g., Hadoop and Hive) as well as knowledge of ML, Data science and advanced modelling techniques, technologies, and programming languages • Possess a high degree of self-motivation, the ability to drive for results, and track more »

transformation Additionally plus points: Experience with Agile, DevOps, and CICD frameworks in cloud-based environments. Despite being a developer, retains a genuine interest in ML Engineering and Data Science Closely collaborate with data scientists, product and engineers to innovate and refine the next ML initiatives Good knowledge in Python, SQL more »

Lead Machine Learning Engineer up to £115 000 London NEW Machine Learning Engineer Opportunity Available with a Leading Organisation! The Company: Are you an expert in Machine Learning? We are on the lookout for a Machine Learning Engineer to join an ambitious … through Data scientists/Engineering and Machine Learning Ops' best practices and you will be working on Recommendation Systems and Deploying complex ML Models. You will also be tasked to lead a team of ML/Data professionals. The Role: As a Machine Learning Engineer: Apply … project You will build the Machine Learning Infrastructures interacting with CI/CD pipelines, MLFlow, Kafka, and Kubernetes. Lead a Team of ML Engineers. You will be developing and Deploying Advanced Analytical algorithms/scalable solutions using Cloud. You will be working with a team of highly skilled more »

Machine Learning Engineer (LLM) (Visit the London office x3 days a week) Xcede are delighted to be working with one of the world’s most prestigious research & publishing organisations. The organisation have been operating for over 25 years, conducting quantitative and qualitative research to help rank, highlight, and … of data types that the company have access to, from PDFs, Word Docs, Audio files, JSON, etc. Requirements Significant commercial experience building AI/ML tools (ideally within a few years of building LLM based applications). Strong understanding of ML fundamentals (including Supervised & Unsupervised algorithms) Significant NLP, LLM, and more »

causaLens is the pioneer of Causal AI — a giant leap in machine intelligence. We are on a mission to build truly intelligent machines, machines that truly understand cause and effect— it’s hard but super fun! If you want to build the future and are looking for a place … a plus Experience in supply chain, demand forecasting, retail/cpg, manufacturing, marketing, financial services, or public sector is a plus About causaLens Current machine learning approaches have severe limitations when applied to real-world business problems and fail to unlock the true potential of AI for the more »

Sales Development Rep £30-35k base + OTE uncapped Hybrid, London. This client's platform uses machine learning algorithms to analyze customer behavior and optimize messaging for maximum impact. The company's technology is designed to increase conversion rates, improve customer engagement, and boost revenue for online more »

are delighted to be working with one of the most forward thinking Private Equity firms in the space. The organisation are increasingly relying on ML and automation to make key business decisions about investment direction (multi-million pound decisions), and after successful rounds have increased their overall portion of portfolio … under the control of the ML function. The organic growth in workload has meant that the company need to hire another Data Scientist to join their established Data Science function. We don’t need someone to have already worked within the Private Equity space, but a clear interest in Investing … and strong statistical background (which has been utilised in a commercial setting for a few years) are necessary. Responsibilities Develop and deploy innovative ML & statistical models which will impact core investment decisions. Communicate ideas and findings to Investment team stakeholders. Use ML to explore financial Data and conduct wider research more »

from sub-second latency functions to longer-running batch computer and higher-demand dedicated instances. Their models are a mixture of well-known classical ML systems and highly bespoke deep learning models. They run on AWS and soon Azure, with plans to also add GCP and on-prem. They … Temporal; AWS Athena SQL, Athena & EMR Spark, ECS Fargate; Azure Synapse/Data Lake Analytics, HDInsight. KEY RESPONSIBILITIES Lead the productionisation of Monolith’s ML models and data processing pipelines, both mid-low-level system and design and exemplary hands-on implementations using Spark and other tech stacks Shape the … ML engineering culture and practices around model & data versioning, scalability, model benchmarking, ML-specific branching & release strategy Concisely break down complex high-level ML requirements into smaller deliverables (epic à task) Proactively identify blockers across the team, help promptly and effectively to unblock them Bring seniority and pragmatism to every more »

Research and Development : Drive the creation and implementation of AI models for RegTech, Credit Intelligence, and Personalised Products. Develop Advanced Solutions : Build and deploy machine learning models, behavioral analytics, blockchain solutions, and predictive analytics to address key fintech challenges. Collaborate and Innovate : Work closely with cross-functional teams … Finz at industry events. Mentor and Guide : Provide leadership and mentorship to junior AI researchers and data scientists. Key Qualifications: PhD in Artificial Intelligence, Machine Learning, Computer Science, Data Science, or a related field. Extensive knowledge of machine learning algorithms, statistical methods, and AI techniques. Proficiency … as Python, R, or similar, and experience with machine learning frameworks (TensorFlow, PyTorch, etc.). Proven track record of conducting AI/ML research, with publications in top-tier conferences and journals. Familiarity with the fintech industry, including understanding of financial products, services, and regulatory requirements. Excellent written more »

are seeking a Senior Pricing Analyst to join their London-based team on a full time basis. The ideal candidate will possess expertise in machine learning, data science, and actuarial principles, particularly in motor and insurance claims analysis . This role will play a crucial part in shaping … the company's strategic direction by providing data-driven insights and recommendations to refine insurance products. Key Responsibilities: Develop and implement pricing models using machine learning and statistical analysis. Conduct data analysis to identify trends, anomalies, and optimization opportunities. Integrate actuarial methods into pricing strategies in collaboration with … Data Science, Statistics, Actuarial Science, Mathematics, or a related field. Proven experience in a pricing analyst role, preferably within the insurance sector. Proficiency in machine learning tools (e.g., Python, R, SQL) and familiarity with actuarial principles. Strong analytical, problem-solving, and communication skills. Ability to work independently and more »

leading automation projects to completion. • Exp automation tools and technologies, such as Robotic Process Automation (RPA), Artificial Intelligence (AI), and Machine Learning (ML). • Environment Agile, DevOps Desirable experience with OTT, Broadcasting, Video Processing/Delivery in Media and Entertainment domain. Apply by sending your CV to: sean more »

driven Invesment Management firm that are currently looking to add talented Frontend Developers to a critical team that is responsible for building and maintaining machine learning frameworks, data science tools, microservices and various other data driven applications to support it's various trading strategies. This is an excellent more »

applications for performance, scalability, and security. Participate in code reviews, providing constructive feedback to team members. Mentor junior developers, fostering a culture of continuous learning and improvement. Stay up-to-date with the latest industry trends and technologies to ensure our solutions remain competitive. Qualifications: Bachelor's or Master … oriented environment. Preferred Qualifications: Experience with Agile/Scrum methodologies. Familiarity with DevOps practices and CI/CD pipelines. Knowledge of data science and machine learning concepts. Experience with other cloud platforms and technologies. What We Offer: Salary between £100-110k Competitive bonus Competitive pension Enhanced private more »

to create extraordinary outcomes. You could say we are a digital transformation business. We specialize in software product development, analytics, data science, IoT solutions, machine learning, DevOps optimization, and modernization of applications, data, and platforms. We work with incredible clients in all types of industries such as smart … life balance by offering flexibility in where you work. We also promote well-being and provide access to Well Being Coaches. Your development and learning will be taken seriously, and we'll support your professional development with training and certification, with regular feedback and review. It is a fun more »

and non-relational data stores, APIs, Google Drive, event delivery pipelines), into a single persistent storage solution that enables everything from simple reporting to ML-backed products You’ll identify, design and implement data process improvements covering the full spectrum of the data engineering practices, including platform engineering and data more »

collecting, validating and delivering data and split between architecture, stack and delivery; and Advanced Analytics – tasked with using data analysis methodologies including predictive modelling, machine learning algorithms, process automation and other methods to impact process and split between science, journalism and support. What you’ll be doing: The more »

in Power Platform are a plus. Preferred Skills: Microsoft Certified: Power Platform Solution Architect Expert. Experience with Power Virtual Agents. Knowledge of AI and machine learning concepts within Power Platform. What you will get 25 days annual leave, excluding bank holidays. Matched pension contributions of 5%. Free more »

Operating across both public and private sectors, we offer a comprehensive range of services from product design and engineering, digital strategy, data services & management (Machine Learning and AI), cloud migration to program delivery and service operations, our offerings are designed to meet diverse business needs Job Description Must … working model with some flexible working 25days holiday Private Medical Health care via Vitality Pension contribution, Life Assurance Professional certifications supported as part of learning and development. A range of retail discounts to enhance your lifestyle, encompassing restaurants, supermarkets, travel, leisure activities and health and well-being services. Access more »

AWS/GCP We are currently looking for a Python Developer to join a global digital marketing company who through the use of their machine learning technology, are able to build specialist teams around their clients with world class innovation. The Tech Stack: Python, Django, Kubernetes, AWS/ more »

development or DevOps experience) Significant experience applying advanced analytics to business situations and a proven ability to synthesize complex data Deep understanding of modern machine learning techniques and their mathematical underpinnings, and can translate this into business implications for our clients Have strong project management skills What You more »

provide advanced analytic data modelling systems Designing and launching innovative and complex analytical models, utilising a blend of state-of-the-art and traditional machine learning techniques, which is applied to both structured and unstructured data sets Key Actions Play a leading role in the development and design … support junior data science team members and oversee all activities ensuring alignment with departmental and business-wide vision and strategies Scope, design, and implement machine learning models to support the numerous initiatives of the business and demonstrate the impact to the bottom line of the business Manage live … data engineering teams, in creating data science applications through the utilisation of structured and unstructured data, designing optimal data architecture, and experimenting on new machine learning techniques Draft regular reports for senior management on departmental performance and present recommended models and departmental strategies for approval Maintain a deep more »

integrations and transformations. Opportunity for major impact on project zero-to-one. Join an innovative team pushing the boundaries of AI! Keywords: Engineering, AI, Machine Learning, Generative AI, Rust, Clojure, Haskell Day rate: £750-£850/day 5 month contract with the possibility of extensions The Team: The … Generative AI Engineer: Work with quant developers and subject matter experts Design and build high-quality, reliable, scalable software Apply knowledge of AI/ML and LLMs to practical business problems Develop Python code and interfaces (APIs and services) Ensure effective platform architecture and scalability Required Skills and Experience for … a Senior Generative AI Engineer: Passion for designing reliable large-scale software Passion to adopt rapidly advancing AI/ML techniques Proficiency in Python Very strong Java, C#, or similar language experience Experience with Rust, Clojure, Haskell a plus Design simple and effective interfaces Broad understanding of computer science Outstanding more »

demand. The stack covers many technologies (front-end, backend, edge-computing), and you will be responsible for the backend stack and its features. Deploying machine learning models to production Building edge applications Ensure the system can scale and have full observability Optimizing the platform runtime for maximum performance more »

of our users. As a senior full stack engineer, you will lead the design and development of products that are based on proprietary statistics, machine learning, optimisation, and AI methods and that are of strategic importance to the firm. You will partner with our product managers, researchers, and more »

systems to be deployable in the Cloud. You will join a global team working on backend code containerization and deployment of optimised low latency Machine Learning and Artificial Intelligence code. Key skills Artificial Intelligence Software Deployment Continuous Integration and Continuous Delivery (CI/CD) Python Terraform Cloud Architecture more »