26 to 50 of 1,356 Machine Learning Jobs in the UK

Chief Data Scientist £130k - £170k base DOE, London Are you a data scientist who has specialised in machine learning? Do you enjoy working with data that will help predict outcomes more accurately? If you know how prediction models work … and how to apply external factor information to help predict consumer behaviour then this will be for you. You will use your knowledge of ML and AI to drive this business forward, focus the data and provide better results for customers. The main aim is to add value to the more »

of legacy architectures and AWS serverless solutions. Familiarity with deployment mechanisms and migrating on-premise environments to the cloud. Nice to have: Experience with machine learning and on-premise environments. Leadership skills and scripting abilities (preferably in Python) If you're passionate about making a difference and want more »

the 1st Finance App in the UK, used by thousands of people every day. We are shipping an average of a feature per week. 🔮 Machine learning: we have an enormous amount of transaction data, which we are using to provide better insights to our users. Predicting when a more »

Learn more about our culture here.[Link to careers page.] Why become an Oxbot? Our team of experts in computer science, AI, robotics and machine learning is world-class, and together they're solving the most exciting and important technological challenges of our times. But as well as more »

is building a world class voice system that is used by millions of Roku users. The Roku Voice team is looking for ambitious experienced machine learning engineers with a background in one or more of the following areas: artificial intelligence, natural language understanding, machine learning, automated … world class team. What you'll be doing Design and develop software and algorithms for Roku’s state of the art voice system Using machine learning expertise, design and develop software components … for high availability and high performance cloud solutions End-to-end responsibility from developing a proof of concept to production You have a strong ML programming background with a lot of hands-on experience in building large scale production systems You have a strong algorithmic background and like intellectual challenges more »

building cloud solutions to support the activities of machine learning engineers across the company. You will build tools and APIs to support ML teams in every stage of their ML workflows. You will champion automation of the entire ML lifecycle, covering data ingestion, model development, model training, model … management, deployment, serving and monitoring. On a day to day basis you will prototype tools and APIs to allow ML engineers to access cloud based infrastructure developed by your MLOps colleagues, iterating towards a production-ready service. In developing solutions you will carefully consider the skillset of the end user … and design and document tools accordingly. ML team members will come to you as the authority regarding MLOps best practices and you will provide training in the use of in-house and third-party MLOps tools. In addition to supporting ML teams with their custom MLOps requirements, you will form more »

a modern data management stack supporting a self-service data analytics model across all company functions for quick, informed decision-making. Integrate AI and machine learning to enhance customer experiences and operational efficiencies, managing the full data lifecycle from collection to quality control. Stay updated with data science … data science, analytics, or engineering experience, particularly in leadership roles and the banking or financial services sector. Technical Proficiency: Expertise in data analytics frameworks, machine learning, AI, and scalable data infrastructure design. Regulatory Knowledge: In-depth knowledge of data protection laws, including GDPR and PSD2. Leadership Skills: Proven more »

Data Scientist is to produce innovative solutions driven by exploratory data analysis from complex and high-dimensional datasets. Job Responsibilities: Apply knowledge of statistics, machine learning, programming, data modeling, simulation, and advanced mathematics to recognize patterns, identify opportunities, pose business questions, and make valuable discoveries leading to prototype more »

opportunity •You are a serial startup builder or want to earn growth stage experience before becoming a founder yourself Responsibilities •Grow our AI and ML capabilities by contributing ideas and launching and completing new engineering projects •Partner across all teams including engineers, AI scientists, researchers, designers, and product managers to more »

Responsibilities: with stakeholders to understand business requirements and translate them into technical solutions. build, and maintain scalable data pipelines to support data analytics and machine learning applications. best practices for data management, including data quality assurance, data governance, and security. data workflows for performance, reliability, and cost efficiency. more »

distributions Weighting sample-based data Statistical tests proper usage Real-world applications. Python - NumPy, SciPy, Pandas, MLlib, scikit-learn, and other common data and machine learning related libraries Working knowledge of SQL, data structures and databases (Snowflake - desirable) This is a pragmatic and humble organisation who are looking more »

interview process with us. Learn more about our culture here. Why become an Oxbot? Our team of experts in computer science, AI, robotics and machine learning is world-class, and together they’re solving the most exciting and important technological challenges of our times. But as well as more »

AI, ML and Series A investment. Not another one of these companies? No, it’s not. You’re going to be coming in to lead engineering in a company that have already proved that their product works and works well. With a host of big-name clients, their AI/… ML driven tech product has been key in helping various brands automate their online advertising and optimise it for increased ROI. Series A investment was achieved last year and that was used to build out the product and start to grow the team across tech and sales. The technical team … You’ll come in to help each member hit their potential, whilst fostering a team focused on collaboration and good quality outcomes. AI and Machine Learning are built into the product and are of course the main buzz words here, but at its core, it’s a SaaS more »

interview process with us. Learn more about our culture here. Why become an Oxbot? Our team of experts in computer science, AI, robotics and machine learning is world-class, and together they’re solving the most exciting and important technological challenges of our times. But as well as more »

long term strategic Account relationships. A strong consulting toolkit and stakeholder management skills. Some exposure to other emerging technology projects such as AI and Machine Learning is desirable. Applicants must be authorised to work in the United Kingdom without the need for visa sponsorship. more »

the backbone to some of the best known sportsbooks in the world, and their offering combines bleeding edge development approaches with world class AI & machine learning. The business has an outstanding track record of developing its senior software leaders from within, which is why this Software Engineer role stands … talented group of engineers. You will be exposed to real time, cloud hosted systems supporting high traffic and rapid transactions; a challenging and engaging learning environment. What you'll bring with you: we are looking for bright & engaging software engineers with experience of building complex distributed systems. You will more »

for a leading tech company, with over 50 million MAU and operating in 60 countries? We’re on the lookout for a Head of Machine Learning, with a strategic mindset to help shape a recommendations strategy and build a new engine from 0-1. You will be … subject matter expert in recommendations, with a history of implementing complex solutions at scale, as well as shaping and engineering projects in the wider machine learning and deep learning landscape. In what is a very experimental stage, this is an opportunity to create research in line with … . Person Skills 5 years + experience developing highly scalable recommender systems Ph.D degree in Computer Science or related quantitative discipline Experience in training ML models with frameworks like Tensorflow, PyTorch, MXNet, Caffe,Torch etc. Excellent coding skills in one of the following: Python, C/C++, Java, NodeJS, Go more »

some remote work. Qualifications Relevant degree in computer science, engineering, or a related field (bonus if you have an MSc or a PhD in Machine Learning or other relevant fields) 5+ years of software engineering experience at a technology organisation (bonus if you have developed applications that involve … generative AI and machine learning) Portfolio of apps/projects that you have worked on (on GitHub) Strong knowledge of artificial intelligence and machine learning technologies Entrepreneurial, running a start-up is hard and you need to be committed. more »

closely with Monetization researchers Develop and manage high quality, robust and efficient data and model pipelines Improve capabilities, performance, reliability, scalability and throughput of machine learning systems in a trading environment. Build automated tools to evaluate model performance Work closely with quantitative, portfolio researchers to improve the profitability … of trading tactics Qualifications: 5+ years of experience in Machine Learning or Quant Finance Strong Python expertise is required, and C++ expertise is a plus. Quantitative background (eg: statistics, linear algebra, or calculus … and/or Pandas and Numpy expertise that allows close collaboration with researchers a strong plus Experience with data driven python pipelines, data/ML platform design production model evaluation, and/or MLOps a strong plus Portfolio optimisation/market impact models/optimal execution/transaction cost analysis more »

AI/ML Researcher Up to £50,000 Reading - 50% Remote My Client is one of the market leaders in the Automotive space and are looking for a AI/ML Researcher to join the team to play a pivotal role in enhancing their AI capabilities. Your main responsibility will … senior researcher and other teams to integrate AI approaches into various research domains Take responsibility for the application of data science and AI/ML methods. Effectively communicate complex AI concepts and findings to stakeholders Conduct research on the technical and economic landscape Attend conferences, workshops, seminars, and visit suppliers … What you need to succeed: Degree in Computer Science, AI, Mathematics, or an equivalent discipline. Demonstrate experience in AI/ML research and development within an industry setting. Possess a strong foundational knowledge of AI, ML, and data science principles, including signal/pattern recognition, classification techniques, and deep neural more »

data-driven decision-making: play a crucial role in fostering a data-driven culture within the iterative output teams Future planning: Incorporate AI and ML models into data streams to create predictive analysis models, informing business decisions ahead of time Experience required for the opportunity: ● Ability to read and analyse more »

part of Fujitsu’s global R&D activity, conducts research and innovation – shaping our world for the better as well as supporting the constant learning of our employees. Shape your world We are looking for a Senior Researcher in our Social Digital Twin Research Group, creating new technologies for … Fujitsu Global R&D groups to create and use SDT technologies. Your experience You will be able to demonstrate some of the following: Extensive Machine Learning expertise, leading technical collaboration with academia/industries for 5 years or more. Understanding of the principles of software engineering and proficiency more »

distributions Weighting sample-based data Statistical tests proper usage Real-world applications. Python - NumPy, SciPy, Pandas, MLlib, scikit-learn, and other common data and machine learning related libraries Working knowledge of SQL, data structures and databases (Snowflake - desirable) This is a pragmatic and humble organisation who are looking more »

I'm helping an industry leading organisation find a dedicated Artificial Intelligence focused Security Architect. This is an exciting opportunity to own AI and ML from a security architecture perspective!! You will: Develop and implement comprehensive AI/ML security strategies, policies, standards and guidelines to protect organisational assets and … ensure the secure operation of AI and ML systems. Develop and own robust enterprise security architecture for AI/ML systems, CI/CD and data pipelines. Participate in enterprise-wide architecture initiatives for AI/ML. This is a hybrid role with multiple UK locations Salary up to more »

Machine Learning Engineer Remote Position DeepRec.ai are hiring for a talented Machine Learning Engineer to join a fantastic organisation on the East Coast who are using AI to transform and improve the clinical workflow. This is an innovative and inspiring organisation who have specific clinical tasks … strategic abilities. This will be an exciting journey to build their AI practice and a team around you. Required Skills: Building cloud and native machine learning architecture with: LLamaIndex, HuggingFace, SentenceTransformers, PyTorch, Python, Apache Spark. Experience with practical application of AI and scaling AI with these tools Experience more »