20 Permanent Machine Learning Jobs in East London

within the magic circle of the legal sector. From a technology perspective, this organisation is a leader in its domain, significantly investing in AI, Machine Learning and automation technologies within an established cloud native (Azure), DevOps and Agile environment. Were looking for a Senior Developer or Senior Engineer … testing experience (e.g. stress & load) with an understanding of testing pyramid Extensive experience in Agile, product centric engineering environments A demonstrable passion for continuous learning Outstanding communications and stakeholder engagement & management skills, proven in large corporate settings An entrepreneurial thinker with a growth mindset £80k-£100k + bonus + more »

Senior Machine Learning Engineer - London - Exciting Health-Tech Start-Up Permanent + Fun Social Team + Share options Are you a Machine Learning Engineer/Software Engineer looking for an exciting and challenging position? Heres your chance to be a part of a fast-growing health … experiencing super high growth at the moment, and have grown from 3K users to 100k users in 14 months - over 3000% growth! As a Machine Learning Engineer on their talented engineering team, you'd be working cross-functionally with other teams to build the company's product. This … is a fantastic opportunity for a mid-senior Machine Learning Engineer to work closely with the founders and CTO to make an impact and shape the future of the company. You'd be looking to out perform their other competitors and work with some of the best minds more »

AWS accounts and infrastructure to host our systems for LLM-inference, including advanced RAG. To this end you will collaborate tightly with Data Scientists, Machine Learning, Big Data, and Software Engineers in a Scrum environment. You can support streamlining deployment and establish best practices in infrastructure management for more »

to partner analytics teams to review and enhance data categorization for key income and expense transactions, develop a specification for both rules based and machine learning driven enhancements to categorization by defining transaction types. You will also interact closely with the Financial Product team to provide requirements to more »

THE ROLE If you have in significant experience in ML software development and pipeline configuration, this is a rare opportunity to use your expertise to help shape the ongoing success of a science-based SME with a bright future. Collaborate strategically with colleagues to define and champion technical specifications, taking … technical advances in digital nature data delivery & analysis. Support grant ideation, development & delivery. Oversee the maintenance of software development documentation & infrastructure on GCP for ML ABOUT YOU Strong background in ML software development & pipeline configuration. Good understanding of research & product development. Familiar with DataOps & MLOps. Able to deploy & test ML … models in production. Good understanding of the principled evaluation of ML models. Familiar with many different data sources and types Commercially astute. Excellent communication, planning and interpersonal skills. WHAT SETS YOU APART Software experience with Geospatial technologies Experience with Tensorflow & BigQuery. Comfortable building automated test infrastructure for ML models. WHAT more »

methodologies, CI/CD, application resiliency, and security Demonstrated proficiency in software applications and processes within a technical domain, such as cloud, artificial intelligence, machine learning, mobile, etc. Practical cloud native experience, deploying Kubernetes applications on a cloud service provider, such as Google Cloud, Amazon Web Services, or more »

practices for secure delivery, such as SLSA framework Demonstrated proficiency in software applications and processes within a technical domain, such as cloud, artificial intelligence, machine learning, mobile, etc. Practical cloud native experience, deploying Kubernetes applications on a cloud service provider, such as Google Cloud, Amazon Web Services, or more »

/2024, 17:27 Locations LONDON, LONDON, United Kingdom Job Schedule Full time JOB DESCRIPTION The Applied Innovation of AI team, a premier machine learning group within the Chief Technology Officer's office at JP Morgan Chase, addresses business critical priorities using innovative machine learning techniques. … levels. As a Lead Software Engineer at JPMorgan Chase within the Applied Innovation of AI (AI2) team, you will be part of an elite machine learning group strategically located within the CTO office. Your role will involve collaborating with data scientists and research/machine learning … modern web stacks. (VP) Contribute significantly to architecture and software management discussions & tasks Rapid prototyping & shorten development cycles for our software and AI/ML products: Build and automate and maintain our AI/ML data pipelines & workstream from data analysis, experimentation, model training, model evaluation, deployment, operationalization, and tuning more »

as CI/CD, Application Resiliency, and Security Demonstrated proficiency in software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.) In-depth knowledge of the financial services industry and their IT systems Practical cloud native experience Preferred qualifications, capabilities, and more »

from different businesses in the financial domain currently not available anywhere else. Write production-ready code and work with tech teams to ensure your ML solution is deployable at scale across multiple lines of business. Develop products that can change how corporate and investment banking is done today. Research and … develop innovative ML based solutions to some of cross-functions and operations hardest problems. Build robust data science capabilities which can be scaled across multiple business use cases. Collaborate with software engineering teams to design, deploy, and maintain production-grade ML models that can be integrated with strategic systems. Research … or PhD in a quantitative or computational discipline Considerable commercial experience in line with a capable individual contributor; developing and deploying data science and ML capabilities in production at scale. Strong Python development and debugging skills. Capable to develop high quality reusable code that can be leveraged from a larger more »

Locations 25 Bank Street, Canary Wharf, London, Greater London, E14 5JP, GB Job Schedule Full time JOB DESCRIPTION As an Applied AI ML Lead - Vice President in the Markets Operations team at J.P. Morgan Corporate Investment Bank, you will be at the forefront of our industry-leading AI team. You … You will also have the chance to provide technical mentorship and guidance to team members, sharing best practices and staying at the forefront of machine learning advances. Job responsibilities Formulate, communicate and drive implementation of AI solutions for challenging Markets Operations problems. Build robust, scalable and reusable AI … field. Considerable experience in an applied Machine Learning or Data Science role. Significant hands-on experience developing and deploying Data Science and ML capabilities in production at scale. Deep knowledge of machine learning algorithms applied to solving business problems. Proficiency in Python and popular Data Science more »

all aspects of workforce data strategy, analytics and reporting, data governance, and the development of artificial intelligence and machine learning (AI/ML) based solutions. We have a vision to help make individuals, teams, and businesses at JPMC among the most engaged and productive in the world. Our … leading financial services firm. The role will develop data-centric solutions that move the bottom line for the firm. As a Applied AI/ML Senior Associate, you are an individual contributor who should be able to apply quantitative, data science and analytical skills to complex problems. You're able … data analysis, modeling, including model selection and producing quick applicable modeling solutions. Job responsibilities Engaging with stakeholders and understanding business requirements, Developing AI/ML solutions to address impactful business needs, Working with other team members to productionize end-to-end AI/ML solutions, Engaging in research and development more »

s) Advanced knowledge of software applications and technical processes with considerable in-depth knowledge in one or more technical disciplines (e.g., cloud, artificial intelligence, machine learning, mobile, etc.) Ability to tackle design and functionality problems independently with little to no oversight Practical cloud native experience Experience in Computer more »

involved in a recent acquisition, design enhancements to our business platform to support new and existing products, develop an advanced technology solution built with machine learning to drive process improvement, or proactively identify and respond to high profile issues or emerging risks of utmost importance to C-suite … technologists design, build and deploy everything from enterprise technology initiatives to big data and mobile solutions, as well as innovations in electronic payments, cybersecurity, machine learning, and cloud development. Our $10B+ annual investment in technology enables us to hire people to create innovative solutions that will are transforming more »

technologists design, build and deploy everything from enterprise technology initiatives to big data and mobile solutions, as well as innovations in electronic payments, cybersecurity, machine learning, and cloud development. Our $10B+ annual investment in technology enables us to hire people to create innovative solutions that will transform the more »

Job Title : Senior AI/ML Engineer Location: London/Cambridge (hybrid) Salary : £90-120k About Us: I'm currently working with an industry pioneer who are looking for an exceptional AI Engineer as they continue to build the most comprehensive AI ecosystem ever! Specialising in cutting-edge solutions … MLOps and Deployment : Apply knowledge of MLOps principles and practices to streamline the development, deployment, and monitoring of machine learning systems. Deploy ML models into production environments. Requirements : Master's or PhD in Computer Science, Engineering, or a related field. 5+ years' experience with Python with strong coding … skills Familiar with object-orientated design methodology and application development in Python Proficiency with ML, LLMs, PyTorch Experience with Transformer models and modern ML techniques Excellent communication and collaboration skills, with the ability to thrive in a fast-paced and dynamic environment. Desirable : Experience with MLOps & Docker. How to Apply more »

In this role, you will play a pivotal role in designing, implementing, and maintaining the robust infrastructure required to power their advanced AI and machine learning workflows. Collaborating closely with their multidisciplinary team, you will contribute to building scalable, resilient, and distributed systems that drive the success of … clean, efficient code in Python for various components of the AI infrastructure. Design and deploy scalable and resilient infrastructure solutions to support AI and machine learning initiatives. Develop the AI coordination layer to power millions of agents. Optimise system performance and resource utilisation to meet scalability and efficiency … required for this exciting opportunity, please submit your CV today! Keywords: AI Engineer, AI Infrastructure Engineer, Python, PostgreSQL, Blockchain, RabbitMQ, Cassandra, AI, Artificial Intelligence, ML, Machine Learning, LLM BeTechnology Group Limited is acting as an Employment Agency in relation to this vacancy. more »

learning engineers. Working in the AI Labs department you will also work to help us to improve the design of AI systems (classical ML & LLMs) on AWS and to draft and build new solutions. Such solutions include data enrichment pipelines and building blocks to train, evaluate, and serve large … market to make it work for everybody. Your responsibilities: Work together with the AI labs, Data, Infrastructure, and Platform teams to design and deploy ML-based services using AWS Sagemaker and other cloud based solutions. Analyse current AWS account setup for data scientists & MLEs and improve it together with StSt … their integration with other services. Design & build infrastructure to facilitate experimentation & deployment of AI systems. Collaborate with the AI Labs teams to advance current ML workflows and software development standards. Your skills and qualifications Industry experience in AWS ML services, including AWS Sagemaker. Experience in DevOps, Cloud Operations, ML-engineering more »

Mixpanel). Ability to set up behavioural tracking measurement plans (e.g. designing events schemas). Strong analytical skills, including A/B Testing, foundational Machine Learning concepts, Data Visualisation and Storytelling. Good communication and stakeholder management skills, experience working in cross functional/embedded analytics teams. Good strategic more »

The job at a glance Join our team and youll be responsible for driving projects to improve the design of existing AI systems (classical ML & LLMs) on AWS and build new solutions. Your team will provide building blocks to train, evaluate, and serve large language models and demonstrate the capabilities … it work for everybody. Your responsibilities: Enable the AI Labs team and closely cooperate with data, infrastructure, and platform teams to design and deploy ML-based services using AWS Sagemaker. Understand current AI products, identify new opportunities, and drive their implementation. Design experiments & deployment solutions in the realm of AI … systems. Drive initiatives in the AI Labs teams to advance current ML workflows and software development standards. Develop talent in the AI labs team through learning & development as well as recruiting. Your skills and qualifications Industry experience in AWS ML services, including AWS Sagemaker. Experience in working with DevOps more »