76 to 100 of 1,636 Machine Learning Jobs

Senior Machine Learning Engineer Currently looking for a Senior Machine Learning Engineer to join a leading, online UK fashion/retail brand on a contract basis! Incredibly comfortable working with Python. Work in cross-functional teams combining data science, data engineering, BI, machine learning … management. Implement and deploy machine learning models at scale. Understanding of NLP Experience with LLM (Large Language Models) Previous experience product-ionising ML models x2 Stage interview process. Rate :: £800/day (Outside) Length :: 6 Months Location :: UK (Must be based in the UK) Start Date :: ASAP more »

Senior Machine Learning Engineer £90,000 - £120,000 in Central London – 2 days a week FinTech La Fosse is currently working with a fast-growing FinTech business which has become an industry leader within the funding and embedded finance industry, who are looking for a talented Senior Machine … listed below: project management skills, with a proven track record of delivering projects on time and within scope. fundamentals in programming, statistics, mathematics, and ML algorithms (neural networks, tree-based methods, optimizers, super/unsupervised learning, feature engineering, etc.). Strong experience with Python required understanding of the ML …/DS frameworks (XGBoost, Scikit-learn, Pandas, Numpy, etc.), and modular/modern OOP software design practices with a modern ML/Data/Cloud engineering technical stack If you’re interested in this role and feel you fit some of the requirements, apply through the advert to find out more »

R&D data . You will become part of an interdisciplinary Bioinformatics team, working at the heart of research and development creating an active learning system, in which model predictions guide lab experiments, lab automation generates high-throughput data for model training , and predictive models are updated as new … field. What you'll do You will work closely with our R&D scientists in fields of software engineering , lab automation, computational modelling and machine learning , with access to biologics R&D data across AstraZeneca constantly generating new data to both build and inform predictive models . This … . Collaborate with web application developers to integrate the Genedata Biologics system with custom applications for experiment design and data analysis . Collaborate with machine learning colleagues to develop an active learning system that continually trains machine learning models on data from biologics experiments and more »

and analyse datasets to extract meaningful insights and features for model development. Design, implement and maintain industry-standard MLOps infrastructure for new and existing ML products Optimize and standardize ML training and validation processes, data warehousing and pipelines. Education: Master's or Ph.D. in Computer Science, Machine Learning … Data Science, or a related field. Professional Experience: The position will be tailored to the level of experience; practical industry experience deploying and maintaining ML systems in production would be viewed very positively. Technical Requirements: Required: Strong foundation in machine learning algorithms, statistics, and data structures within relevant … Experience deploying MLOps solutions and working within CI/CD frameworks Experience with Linux systems and cloud infrastructure (AWS, Azure, etc.) Experience developing embedded ML applications (C++, CUDA, TensorRT) Language Skills: Good level of English, spoken and written Personal Skills: Capability to integrate in and work within a trans-European more »

exciting transformation in building out On Demand platforms to enable Advanced Analytics and Machine Learning at scale to power multiple Data , AI, ML initiatives. As such, your role will be key contributor to building and securing next generation Data, Analytics and Machine Learning capabilities into Enterprise … Summary and Mission As a Starbucks senior engineer, your core role will be contributing to the development and operations of our Enterprise AI/ML Platform. In this role you will be focused on the operations and management of machine learning models, algorithms, and processes. As an MLOps … engineer you will be responsible for building set of management techniques for the deep learning or production ML lifecycle hosted on enterprise Data Infrastructure, ML Training Infrastructure, ML Model Deployment Infrastructure and Frameworks that are provisioned on Demand, hardened for Starbucks Security standards and Digital scale. You will bring 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 »

Senior Machine Learning Engineer This company came into Belfast in 2020, and since then has built a reputation as a fantastic employer with no glass ceiling – their engineers soar. Since growing to a software engineering team of over 50, they are now creating a brand new Data Engineering … great opportunity to be part of a start up team, within the security of a very successful organization. They are looking for a Senior Machine Learning Engineer to join – this is a key role in this new team. You’ll build next gen platforms to serve innovative data … maintain. You’ll ideally have the following skills and experience: 5+ years experience in an engineering/data science environment with a focus on machine learning Experience supporting cloud platforms – AWS preferred IaC and container orchestration environments – Kubernetes preferred Experience working with Machine Learning technologies and more »

Software Engineer Machine Learning - Remote - £120K One of our clients who are a leading technology company are seeking a Software Engineer that is an expert in Machine Learning. Offering remote working, must be located in the UK. You will have the opportunity to build machine learning … tackle challenges relating to uses recommendation, matching, content discovery and categorisation. Skills You will have worked as a Software Engineer with a focus on machine learning or similar. Experience of developing and deploying state-of-the-art recommendation algorithms using Python and relevant libraries (e.g., TensorFlow/PyTorch … with AWS and technologies such as Docker, Kubernetes, EC2, ECR, ECS, Glue, Lambda, S3, Cloud Formation, Cloudwatch etc. Have proven experience deploying models and ML pipelines at scale, including experience using AWS SageMaker and/or Google Cloud AI. Support and drive implementation of features around NLP and LLMs. Tackle 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 »

Role Description This is a contract Machine Learning with AI Tutor role located in Greater London. As a Tutor, you will be responsible for delivering high-quality training and support to students in the field of Machine Learning and Artificial Intelligence. This role involves assisting students … in understanding concepts, providing guidance on projects, conducting assessments, and facilitating interactive learning experiences. Please note that this is an on-site role and traveling required. Must be available from the 2nd week of May onwards, and travel is required. UK passport required due to nature of work Qualifications … Strong knowledge and practical experience in Machine Learning and Artificial Intelligence Experience in teaching or tutoring in the relevant field Excellent communication and presentation skills Ability to tailor teaching methods and materials to meet the diverse learning needs of students Strong problem-solving and analytical thinking skills more »

Remote Salary Negotiable Key Skills: Python, NLP experience and deploying NLP systems The Senior NLP Engineer is responsible for developing AI Labs’ NLP/machine learning platform. In this role, they will write, test, and release code and internal libraries according to the NLP roadmap and release plans. … They will work collaboratively with the Head of Machine Learning Product, application engineering, data science and NLP Tech Lead to set the overall vision, goals, and execution plan. They will also be consulted by customer-facing project leads and data science in the analysis of customer data and … development of NLP models to address clinical or business use cases. Skills Machine Learning, Natural Language Processing (NLP), Deep Learning, building and deploying NLP systems Strong CS fundamentals including data structures, algorithms, and distributed systems Proficiency in statistical NLP algorithms, including transformers, graphical models, and information retrieval more »

Are you an expert in machine learning and artificial intelligence? Are you looking for a new role in Oxford? Then this could be … what you've been waiting for! Our client, one of the most exciting scale ups in the country, are looking for a highly motivated ML researcher to join their team. You will be apply cutting-edge machine learning techniques, solving complex problems in the medical/pharmaceutical research … field. Responsibilities Apply machine learning to solve complex problems Collaborate with a variety of scientific and engineering teams Develop software tools for internal and external use Communicate research findings effectively Work independently and collaboratively Examples of Projects Analysing data from new systems Developing algorithms that produce insights impossible more »

Lead Machine Learning Engineer🚀 Explore the realm of dynamic visual technology and augmented reality with this team! lead the development of machine learning systems from start to finish. If you excel … at using computer vision and machine learning techniques to solve problems , Managed a team and take charge of the process of developing ML systems, from testing to creating finished products 🎯With benefits such as: 25 days Annual Leave PLUS Bank Holidays Great Company Pension Hybrid Working And Much … More! 🎯Your Experience: Extensive and Expertise in Machine Learning (10+yrs) Proficient with Python and Pytorch Leadership Experience Abilities in Computer Vision Want to know more? Maybe you know someone who fits this role perfectly. Get in touch or apply now more »

innovation with us as we harness cutting-edge techniques and stay abreast of the latest Google updates. Role Description We're seeking a talented Machine Learning Specialist for a full-time remote position. As part of our team, you'll spearhead the development and implementation of machine learning algorithms aimed at dissecting website data and uncovering pivotal factors for optimizing search engine rankings. Your role will involve collaborating with diverse teams to gather and analyze data, construct predictive models, and fine-tune algorithms to elevate website performance. Dive into the realm of data preprocessing, feature … selection, model training, and performance assessment in your daily tasks. Qualifications Solid foundation in Computer Science, Machine Learning, and Statistics Proficiency in Deep Learning techniques and algorithmic methodologies Expertise in data preprocessing and feature selection methodologies Familiarity with optimization techniques for refining machine learning models more »

for an MLOps Engineer to join the team. This role is instrumental in enabling HL to harness the full potential of Artificial Intelligence and Machine Learning allowing us to drive significant value to our clients … as well as ensuring that our data scientists can rapidly develop, deploy, and manage models at scale with reliability and efficiency. By streamlining the ML lifecycle, from experimentation to production, you will facilitate seamless collaboration between data scientists, developers, and IT operations, fostering an environment of innovation and driving significant … a new product within HL where you'll have the opportunity to build the roadmap and take ownership of how we leverage AI/ML at HL. What you'll be doing You will be at the forefront of deploying cutting-edge machine learning models and providing comprehensive more »

Trade Data Analyst and Optimizer to join our dynamic team in London. This role will involve scrutinizing data generated from our trading strategies, using machine learning to optimize parameters, and building corresponding automated models to continuously fine-tune our trading strategies. The successful candidate will have strong skills … in machine learning, Python, SQL, data feature engineering, and Java. Key Responsibilities: 1. Analyse post-trade data to derive meaningful insights that can help refine our trading strategies. Use machine learning techniques to optimize trading parameters and predict trading outcomes. 2. Build and maintain automated models … databases, including the ability to write optimized queries. Strong knowledge of machine learning algorithms and their application, including the ability to use ML for parameter optimization and automated model building. Experience in data feature engineering. Understanding of financial markets and trading strategies is a plus. Excellent problem-solving more »

We provide and develop the innovation initiatives across a large array of our audit clients. We do this through the implementation of robotics, AI, machine learning and advanced analytics tools, leveraging the best technologies currently on the market. The team works with audit clients and internal audit stakeholders … advise senior stakeholders on ways to automate and reimagine audits, implementing innovative technologies, such as Python, R, SQL, Alteryx, Power BI, Process Intelligence and Machine Learning. Building a strong understanding for the role data and analytics plays in the modern day audit. You’ll get to work on technical … assignments enabling you to develop skills in Advanced Analytics, Machine Learning, Data Engineering and sophisticated visualisation tools to provide clients with the PwC digital audit experience. This means that you’ll develop the technical, business and soft skills around the topic of data and analytics that our clients more »

We provide and develop the innovation initiatives across a large array of our audit clients. We do this through the implementation of robotics, AI, machine learning and advanced analytics tools, leveraging the best technologies currently on the market. The team works with audit clients and internal audit stakeholders … advise senior stakeholders on ways to automate and reimagine audits, implementing innovative technologies, such as Python, R, SQL, Alteryx, Power BI, Process Intelligence and Machine Learning. Building a strong understanding for the role data and analytics plays in the modern day audit. You’ll get to work on technical … assignments enabling you to develop skills in Advanced Analytics, Machine Learning, Data Engineering and sophisticated visualisation tools to provide clients with the PwC digital audit experience. This means that you’ll develop the technical, business and soft skills around the topic of data and analytics that our clients more »

the last Series C funding round in January 2023. Your Team You will join a growing team of computer science and robotics experts leveraging machine learning, data and cloud infrastructure to build and deploy powerful on-vehicle reasoning capabilities. Your work will enable … Oxa Driver™ to plan and execute sophisticated, safe driving behaviours scalably across all of our customer domains. Your Role As our Senior Engineer (Reasoning ML), you will take a leading role within your team to research, develop and deploy machine learning models enabling new behavioural capabilities and improvements … product quality, customer experience, and maintainability. You Will Take a leading role within your team to research, develop and deploy state of the art machine learning models and architectures in support of behaviour planning and decision making for autonomous vehicles. Create and curate datasets for training and validation more »

scratch and create a powerful analytics engine fueled by cutting-edge technology and generative AI. You will be responsible for building, validating, and deploying machine learning models that drive our product's analytics engine. Operating in an Agile setting, you will be part of a cross functional team … Software Engineers, Product Owners and UX/UI Designers, to innovate and drive our product to new heights. Core Responsibilities: Build and deploy advanced machine learning models & design robust analytics engines for high-end digital products Create repeatable, interpretable, dynamic and scalable models that are seamlessly incorporated into … address objectives to business partners (both technical and non-technical audiences) Stay up-to-date with latest industry trends and advances in data science, machine learning and generative AI Actively contribute to a culture of transparency, learning, and innovation, promoting an open mindset across the organization Advocate more »

that AI can act to make lives easier, and ultimately that people will look at their phones less and communicate more. Role As a machine learning engineer, you will be conducting research and development work on speech synthesis. The scope of work ranges from pushing the boundaries of … speech processing and machine learning research to building high quality proprietary speech datasets for some of the most exciting applications of speech and voice technology in the world. You have At least an MSc in machine learning or speech and language processing Experience with machine learning frameworks such as PyTorch, JAX or TensorFlow Good understanding of speech synthesis and speech processing At least 2 years prior professional experience It'd be great if you also have Good understanding or experience with event based APIs such as Websockets Good understanding or experience with JS more »

develop, and implement data integration solutions that support the enterprise data infrastructure of the organization. You will have a focus on artificial intelligence and machine learning technologies. Also, you will work with project teams to ensure that data integration solutions align with business requirements and data governance standards. … The Role Supervise the design and development of data integration solutions for new IT platforms applying artificial intelligence and machine learning technologies. Collaborate with project teams to ensure that data integration solutions align with business requirements and data governance standards. Provide technical guidance to project teams during the … working at optimum levels and help develop new data integration requirements. Develop scalable solutions via API development (i.e., turning models into APIs) including automate ML and AI processes. Coordination with Enterprise Architecture function including Data architecture and enterprise data integration leads. Your Skills and Experience Minimum Bachelor's Degree or more »

with Discover. Job Description: Discover's Decisioning Platform product family entails various products working in harmony to facilitate the development, deployment, and monitoring of machine learning models. This role specifically focuses on the research and development product (R&D) within the Decisioning Platform product family. The mission of … stakeholders. Ensures the technology teams are synthesizing business objectives and agile development principles to operate and expand the existing solutions. Experience with research within machine learning, specifically generative AI, is essential to success within this role. Responsibilities Develops and maintains Family Product vision by collaborating with stakeholders on … say, we'd also look for: Masters or PhD in the data science or relevant field Experience with leading a research team within the ML and/or AI space - with a special focus on generative AI solutions Proven experience in conceptualizing, defining, building and releasing machine learning more »

Graduate Machine Learning Engineer – Machine Learning Engineer - IOT ML A Cambridge University spin-out are looking for Top-tier academic Graduate (or up to 5 years’ experience) developers to join their award-winning start-up. My client works within the IOT sector and you will have … the opportunity to use Machine Learning techniques to solve real-time problems! We are looking for candidates with; · A STEM degree from a Top-tier University · Strong programming skills (C/C++, Java, Javascript or Python) · Problem solving skills A strong salary and the opportunity to work alongside more »

Software Engineering role and will also require the ability to research and develop new solutions to complex problems. ILASP specialises in developing logic-based machine learning systems. Compared to other forms of machine learning, the main advantage of logic-based systems is that the learned concepts … explainable. We currently hold research contracts both with the UK military and with UK universities, in which we are leading research into logic-based machine learning and its applications. Our projects are diverse in nature, both in terms of their domains and in terms of the tools being … in meetings and demonstrations with customers. · Ensuring that deadlines for the deliverables of your projects are met. What we are looking for: Logic-based Machine Learning is a specialised area, and we do not necessarily expect previous experience in this area; much more important is your willingness to more »