51 to 75 of 165 Machine Learning Jobs in London with Remote Work Options

to December 2024. Requirements Lead architect experience on major projects or complex programmes (e.g. $5m+) Work or Educational experience of automated decisioning via AI, ML or declarative rulesets. Experience working with AI/ML and ideally Generative AI. Significant experience of Retail Banking Lending (Mortgages, loans or credit cards). more »

You will: Deploy industry-leading models to customers globally Conduct Proof-of-Value exercises with customers Contribute towards the research and development of new Machine Learning solutions Support in-production models, ensuring that they meet their user's needs over time You must have: Extensive experience developing and … deploying machine learning models at scale within financial services (ideally within financial crime prevention based projects) Very Strong Python skills and strong familiarity with the data science stack (pandas, scikit-learn and network) Have experience working in a, dynamic and scientific manner and creating high-quality models Be more »

the instructions. For a further discussion, please contact Sam Stark - 83Zero 83DATA is a boutique consultancy specialising in Data Engineering and Architecture | Data Science (ML, AI, DL) | Data Visualisation | RPA within the UK. We provide high quality interim and permanent senior DATA professionals. Placing the people behind the DATA more »

Senior Software Engineer with strong commercial Machine Learning experience required for a defence & security Machine Learning company. As part of this role, you will be put through SC Clearance (and ideally, also DV clearance), so you must be eligible for these to apply. This role can … Learning and AI, using Python. You will be client facing and therefore working on a range of innovation projects based around AI/ML, science, and data. Primary technologies used are Python, Typescript/JavaScript, and Kubernetes, as well as production use of ML, so a proficiency in these … Engineer essential skills Minimum 5 years career experience, ideally using Python as your primary development language Commercial production experience with Machine Learning (ML) and AI is important Strong commercial experience with Typescript and JavaScript You must be comfortable with Kubernetes and the modern Devops environment No work permit more »

Machine Learning Engineer - Hybrid - £120K One of our clients who are a leading technology company are seeking a Machine Learning Engineer. Offering remote working, must be located in the UK. You will have the opportunity to build machine learning models and algorithms to power … services. As well as tackle challenges relating to uses recommendation, matching, content discovery and categorisation. Skills You will have worked as a Machine Learning Engineer 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 »

technology is capable of assessing skin conditions, recommending over-the-counter skincare and providing follow-up/monitoring support. About the Role As a Machine Learning Engineer y ou’ll work alongside a team of machine learning researchers and engineers as well as our dermatological team. … our existing technologies, including computer vision models and recommendation systems. Key Responsibilities Define, evaluate and assess AI systems performance Develop and deploy production-quality machine learning frameworks, while maintaining robust MLOps pipelines Explore and implement state-of-the-art algorithms to keep our product on the cutting edge … Minimum Qualifications Bachelor's degree in a technical field such as computer science or years of equivalent experience Research or engineering experience in deep learning with one or more of the following: generative models, segmentation, object detection, classification, model optimisations Experience working with machine learning frameworks such more »

helping to develop models, tools, and algorithmic models, to help aid in customer retention, engagement, and much more. The firm is beginning to use Machine Learning and AI within the role, so the ideal candidate will already have a familiar grasp and will be able to construct problem … problem-solving initiatives from existing datasets (ad targeting, up-sell/re-sell opportunities, opportunities for continued engagement). Work within data science and machine learning to continue automating the existing product suite: AI, Chatbots, Actions, Workflows etc. Explore new AI approaches and stay updated on advancements to … tackle complex issues. Key Experience: Python Programming Language – 4-5+ years of experience in a Data Science setting Experience in AI/Machine Learning + either PyTorch/TensorFlow Experience with NumPy/Pandas Matplotlib/Plotly SQL/MySQL/database experience The ability driving projects more »

planning and delivering models and analysis that underpin the prices that go to market. You will need to understand both statistical modelling methods and machine learning techniques. Skills & experience needed: Solid knowledge of relevant statistical modelling methods – in particular GLMs Knowledge of relevant machine learning techniques more »

architecture and making technical decisions. Some exposure to AWS (or other cloud platform) and best practices like EC2, S3, auto-scaling, security. Passion for learning and problem solving. At least one of the following: Working on an AI driven product. Used to working closely with data scientists or machine learning engineers, understanding some of the concepts and terminology. Experience contributing to data-dense products with complex, scaling architectural needs. Demonstrated passion for open-source software. Our ideal candidate will champion engineering excellence, open source, and delightful user experiences. We are looking for candidates with significant experience in more »

Technology/Business Analyst/Business Analytics/Software/SaaS/Insurance/InsurTech/Analyst/Graduate/Data/AI/ML/Artificial Intelligence/Machine Learning Are you a Maths champion, recent STEM graduate looking for a long-term career opportunity? Parlez-vous more »

Technical skills covering some of the following: Networking (DNS, TCP/IP, HTTP, CDN, and VPC) Containerization and DevOps Tools Security Artificial Intelligence, including ML, RPA and Natural Language Processing Commercial experience with Event Driven Architectures Ability to architect applications in AWS/Azure using a wide array of AWS more »

Google Cloud, AWS, Azure), as well as high computing distributed systems, and TDD/BDD. You would be working on exciting projects understanding how Machine Learning & AI impacts the software engineering environment. What You'll Do: Be leading & working with various teams and engineers to build and implement more »

Google Cloud, AWS, Azure), as well as high computing distributed systems, and TDD/BDD. You would be working on exciting projects understanding how Machine Learning & AI impacts the software engineering environment. What You'll Do: You will working with various teams and engineers to build and implement … deploy leading AI products & services. You'll be working on cutting edge technology across software engineering and also be able to learn more about ML & AI. Key Skills you will have: Experienced in C++ 17/20 Experience with GPU, CPU, HPC enterprise level systems Passionate about TDD/BDD more »

includes collaborating with all teams to gather requirements and prioritise feature development. Prompt Engineer Requirements: Proficiency in programming languages such as Python. Understanding of machine learning algorithms such as LLMs and Conversational AI. Bachelors degree in Computer Science, Engineering, Mathematics or a related field. Linguistics proficiency Prompt Engineer more »

technologies are key. Agile development experience Google Cloud proficiency CI/CD tools and JIRA expertise Microservices architecture and serverless implementation knowledge Familiarity with machine learning tools Common Technology Components we are interested in: Google Cloud (App Engine, Cloud Functions, Kubernetes Engine, Cloud Spanner, etc.) Architecture (Microservices patterns more »

Lead Engineer/Technical Lead - AI £120-140k + monthly bonus Scale-up SaaS AI Machine Learning organisation in London is looking for a Technical Lead Engineer to support the next phase of growth. Hybrid working, you will be commutable to central London. As a Tech Lead more »

a great opportunity to work with the latest technology and grow as an individual with autonomy/ownership offered from the outset. AI/ML experience is beneficial. Desired Skills ⚙️ Ruby on Rails React AWS If this Senior Full Stack Developer role sounds of interest, please get in touch, actively more »

boldly shaping how people interact with their home or more specifically, how they interact with tech that runs their home By integrating AI and ML into their products, they are able to compete with the biggest names in the market whilst also maintaining a core focus on creating great sustainability. more »

the opportunity to stamp their identity over an already great product portfolio. Equally, the organisation is a huge advocate for change - think AI/ML for example. 3 stage process - rough turnaround time is 12 days. Please get in touch for more information. *No sponsorship is available for this role more »

infrastructure, managing data collection, processing, and quality assurance to facilitate continuous learning of their models Advocate for the strategic integration of Data and ML within the leadership team Collaborate closely with their Operations team to execute their data scaling strategy Design, deploy, and manage ML algorithms to drive innovation more »

A long-standing client of Digital Waffle's is seeking a visionary Head of Machine Learning to establish and lead their AI team! They combine creatives, project managers and techys to develop innovative digital content that re-imagines the way schools market and communicate. Role: Head of Machine Learning Fully remote Salary: £100,000 Equity after 1 year The Role: As the Head of Machine Learning, you will be a pioneer, building an AI team from scratch and defining the strategic direction for how we leverage AI within our educational platform. You'll wear … many hats, from recruiting top talent to developing a robust AI infrastructure. What You'll Do: Craft a comprehensive vision for utilising machine learning to enhance their digital content platform Lead the recruitment and development of a high-performing team of data scientists and machine learning more »

Data Science & ML Consultant Location: London – Hybrid Employment: Full Time All applicants must hold a DV (Developed Vetting) clearance to apply. The Opportunity: For the Ministry of Defence (MOD), maintaining national security is a 24-hour-a-day, 365-day-a-year mission. For this reason, it partners with this … Big 4 Firm to support its multidisciplinary Data Science and Machine Learning team within DSSV (Data Science, Simulation and Visualisation). The Teams work together to drive innovation and insight from data, using cutting-edge Data Science and Machine Learning techniques alongside Digital Transformation to solve … of LinkedIn's top five workplaces in 2024, please use the link below or contact us directly for more information. Contact: 02077806706 Data Science & ML Consultant more »

Senior Machine Learning Engineer | Agency | £550 Inside IR35 | Initial 3 Months We are seeking a Senior MLE to jump straight in and work with clients to understand their objectives and harness the power of data and technology for organisational success. What's will you be doing: Deploying machine learning models to analyse marketing campaign performance, customer segmentation, and behavior prediction Collaborating with cross-functional teams to integrate machine learning solutions into marketing platforms, ensuring seamless implementation and functionality What we'd love to see: Strong working Python and SQL proficiency Extensive Machine Learning more »

trends, and correlations within the data to uncover actionable insights. Develop predictive models and algorithms to forecast customer behaviour, preferences, next best action. Implement machine learning techniques to segment customers and personalise marketing strategies. Collaborate with cross-functional teams to enhance CRM strategies based on data-driven insights. … and demographic data. Provide actionable recommendations to improve customer engagement, satisfaction, and loyalty. Requirements 1-3 years experience in data analysis, statistical modelling, and machine learning techniques. Proficiency in using Dataiku or similar data science platforms for data manipulation and modelling e.g. Alteryx, Microsoft Azure. Strong programming skills more »

the data to uncover actionable insights. Model Development and Deployment • Develop predictive models and algorithms to forecast customer behaviour, preferences, next best action. • Implement machine learning techniques to segment customers and personalize marketing strategies. • Deploy models into production systems to drive real-time decision-making processes. CRM and … engagement, satisfaction, and loyalty. • Continuously monitor market trends and competitor activities to identify opportunities for innovation. Skills • Experience in data analysis, statistical modelling, and machine learning techniques. • Proficiency in using Dataiku or similar data science platforms for data manipulation and modelling. • Strong programming skills in languages such as more »