51 to 75 of 846 Machine Learning Jobs in England

Expert Software Engineer with around 5-10 years’ experience designing and building complex, large-scale distributed systems, sought by a Global Leader in Electronic Markets. Our client is a mega-successful Electronic Trading business business which holds leadership positions in more »

of structured and unstructured data, including the integration of data through AWS and Azure cloud-based ingestion and curation processes. Knowledge of data mining, machine learning, and natural language processing is considered an advantage. Familiarity with Agile methodologies and participation in Scrum ceremonies. Competence in the design and more »

re interested in this position, apply now! Keywords: Claims, Insurance, Financial Services, Analytics, Business Intelligence, BI, Stats, Qlik, Power BI, SQL, Data, Data Science, Machine Learning, London Markets, Lloyd’s of London, General Insurance more »

data each month with a mandate to take it to the next level in terms of table formats, lineage, streaming data and AI/ML tech capabilities. You will also have exciting opportunities to work with cutting edge teams in Product, Financial Crime Management, Capital Markets solving real business problems more »

more senior Data Scientists to learn from however this is their first full-time permanent hire into the team, you will be spearheading the Machine Learning & Data Science work focused on … forecasting demand of stock. Your responsibilities as a Data Scientist will include but not be limited to: Leverage demand forecasting/time series forecasting ML techniques for the Data Science modelling. Work directly on the core product of the business and spearhead the Data Science efforts, engaging with other team … ideally in the retail space) Solid technical ability in Python & SQL Min. 2 (preferably 3-4) years’ experience as a Data Scientist using forecasting ML techniques. HOW TO APPLY: Please register your interest by sending your CV to luke.frost@xcede.com for more info more »

is a digital, roguelike creature-battler, inspired by games like Into The Breach, Inscryption, and Pokemon. MLC’s proprietary technology uses recent breakthroughs in machine learning to allow our game to automatically modify itself according to the player’s desires. This underlying auto-modding platform goes beyond simple more »

I'm currently working with an energy trading client who is looking to continue scaling their team and are currently searching for a Machine Learning Engineer and will consider individuals from a Python Engineering or Data Science background. Based in Central London, this company offers hybrid working with more »

for collaboration (London), a strong benefits package including a personal L&D budget with access to external library content, conferences and a career/learning path, plus a salary between £60,000 - £90,000. My client is entering their 5th year of business with an industry leading production software. … build new product features and expand their capabilities for their clients which includes global businesses such as Tesco, Virgin Media, Liberty Global & more. Using Machine Learning and Automation, the AI tool integrates with clients accounts and ERP systems to track, monitor and flag anything from fraud detection, over more »

strategies across the customer lifecycle to enhance profitability and decisioning Collaborating with the data science team to drive model performance and implementation of innovative machine learning models Working with the Product team to launch new offerings and monitor the wider market YOUR SKILLS AND EXPERIENCE Strong academic background more »

A to Series C. You thrive in a data leadership role that is equal parts strategic and hands-on. You have deep knowledge of machine learning, statistics and optimisation, with plenty of Python and Google Cloud Platform experience. You’re used to working with large data sets from more »

Engineer, you’ll be part of a team with a huge roadmap of work utilising the latest tools and technology to deliver AI and ML initiatives. With one of the lowest staff turnover rates in the area, it’s a company that prides itself on its working culture. It’s more »

/domain-specific Security considerations and best practice. Extensive real-world experience with Cloud technologies, particularly Azure. Up to date knowledge of AI and ML technologies, and Data best practices required to leverage them. more »

Azure MicroServices Decision \ ML Applications Proven track record of internal development & Promotions. Sound like a Product, Tech stack and culture that you are looking for? A SaaS company based out of Manchester, offering remote work are about to build their 3rd squad in 18 months as they embark on a … greenfield project to create their own Decision engine based on AI\ML tech. We are looking to add a Principal Engineer to the new squad. Developers who love complex solutions and creating simple applications to solve these problems using the latest .Net Core and Azure technology in a Micro Service more »

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 … Apply: Please register your interest by sending your CV to Luc Simpson-Kent via the Apply link on this page. Desired Skills and Experience ML Engineering more »

Lead Machine Learning Engineer Our client is looking for an experienced ML/AI engineer to lead their delivery of effective ML/AI- driven solutions and processes, and to help shape their ML/AI strategy. They are looking for a Computer Vision expert to develop and … Stickee Technology Role: Lead Machine Learning Engineer Location: Fully Remote (UK) Salary: Up to £100,000 per annum In your role as ML/AI Lead, your duties will include: Reviewing their backlog of ML/AI-candidate projects and building, developing, and managing a team around you … to work with you on delivery. Key requirements: Design, build, deliver, and maintain end-to-end ML/AI solutions that enhance, organise, and enrich their data, cost-effectively, accurately, and scalably Plan and manage their ML/AI delivery pipeline Mentor and coach team members on ML engineering best more »

Machine Learning Engineer at Cerberus Capital Management As a machine learning engineer on our CTS team, you will contribute to the firm’s objectives by designing, implementing and deploying tools and solutions for a broad range of business objectives, such as asset pricing, demand forecasting, sentiment … analysis, and other machine-learning techniques for pattern recognition and statistical modeling. You may also participate in due diligence analyses of future investments, or evaluate 3rd party solutions and cloud-based tools for client adoption. Cerberus Capital Management (CCM) is a private equity firm with partial or full … closely together with clients to identify business opportunities and create new business value through improved data handling and analysis. Responsibilities: Build predictive models using machine-learning techniques that generate data-driven insights on modern data platforms (Spark, Hadoop and other map-reduce tools); Develop and productionalize containerized algos more »

Machine Learning Engineer Up to £65 000 London Company: This company is a global creative consultancy that partners with huge companies such as Mastercard, SAMSUNG, Mercedes, and Virgin Media! They are looking for a Senior Data Scientist to join their team, who has a great generalist background to … work on a variety of exciting projects as a senior member of the team. Responsibilities: Build machine learning models utilising CI/CD pipelines, MLFlow, Kafka, and Kubernetes. Developing and Deploying Advanced Analytical algorithms/scalable solutions using Cloud. Working with a team of highly skilled Data Engineers …/CD. How to Apply: Please register your interest by sending your CV to Emily Burgess via the Apply link on this page. Keywords: Machine Learning, CI/DC, MLFlow, Kafka, Kubernetes, Consulting, Constancy more »

software engineering team. This individual will manage a team of seven engineers, guiding them in the development of state-of-the-art AI and machine learning solutions. The ideal candidate will have a strong background in Python, data science, machine learning, and AI, with a proven … strategy for the engineering team, ensuring alignment with company goals and industry best practices. Stay up-to-date with the latest advancements in AI, machine learning, and healthcare technologies, and integrate relevant innovations into the team's work. Ensure the robustness, scalability, and security of all software solutions. … degree in Computer Science, Engineering, Data Science, or a related field. 7+ years of experience in software engineering, with a focus on AI and machine learning. Proven leadership experience, with at least 3 years in a managerial role overseeing a team of engineers. Proficiency in Python and experience with more »

multi-instance clusters for data and model parallel training across GPUs/TPUs, preferably using PyTorch and Kubernetes. Proficiency in efficient serving of large machine learning models at scale, including quantisation and distributed computing. Other: Experience at a leading machine learning company. Interested in the impacts … screen) you will be asked to answer at least one of the below questions: Describe your experience in creating/managing HPC clusters for ML models. What tools did you use? Describe how you have efficiently served large ML models at scale. Highlight any specific techniques or libraries used. Please more »

passion for quality and continuous improvement. Preferred Qualifications: Master's degree or PhD in a quantitative discipline (e.g., statistics, applied mathematics, econometrics).Experience with machine learning frameworks and techniques for model validation and testing. Knowledge of software development methodologies such as Agile, Scrum, or DevOps. Certification in quality more »

and accessible and in making data-driven decisions. Co-own customer data and insights in collaboration with the Marketing teams. Apply advanced statistical and machine learning techniques, including clustering, regression analysis, and predictive modelling, to extract deeper insights from customer data. Build predictive models to forecast customer behaviour more »

will still be considered with other cloud experience) Best practices in data management and SDLC. Work with Data Scientists to bring the AI/ML models into production Databricks for daily data processing Qualifications: Experience in data engineering and pipeline construction. GCP and familiarity with other cloud environments. Understanding of 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 work with the technical and data leadership to make the data architecture and technology decisions needed to deliver in the present more »

per annum + Bonus Location: Hybrid (London) Are you ready to join an energetic team of Data Scientists dedicated to creating impactful, commercially viable machine-learning models within the healthcare sector? ABOUT THE ROLE: As a key member of our team: You will collaborate closely to develop and more »

Levy Search are seeking an exceptional engineering leader to manage a team of talented Machine Learning engineers focused on delivering state-of-the-art LLM, speech, and multimodal technologies to production. This role thrives in a dynamic, fast-paced environment, working closely with cross-functional teams to optimize … class engineering team from the ground up. Responsibilities Deliver advanced LLM, speech, and multimodal technologies to production in collaboration with product, compiler, platform, and ML research teams. Develop and maintain robust training and inference methods for productization. Create and manage application code for evaluations on various benchmarks. Enhance developer productivity more »