Data Scientist within their Cross Asset Data Quant team. You'd be collaborating directly with Quant Researchers and Data Engineering teams, working directly with MachineLearning and Statistical Methods to evaluate new datasets. Your remit will also include working across the full data science suite, working across data more »
senior client and internal stakeholders to develop practice capabilities and contribute to growth of the practice Provide expert guidance on the adoption of AI, machinelearning, and other emerging technologies to enhance experience and operational efficiency in digital business processes. To apply for this Senior Manager role, your more »
is 2 years fixed term contract. GTTS builds products that help Amazon run the world's largest transportation network, using cutting-edge technologies and machinelearning, all running on AWS. We are looking for someone who is passionate about technology, loves solving customer problems, and delivers the high more »
technology providers, universities, and research institutions to leverage expertise and drive innovation in AI. Champion a culture of data-driven decision-making and continuous learning, fostering collaboration and knowledge sharing across the organization. Ensure compliance with regulatory requirements and ethical standards in AI development and deployment. About You … Bachelor's degree in Computer Science, Engineering, Economics, Business Administration, Master's degree would be preferred. Proven experience in developing and implementing AI/ML/Analytic strategies in a corporate setting, with a track record of driving successful outcomes. Strong understanding of AI technologies, including machinelearningmore »
Advanced Degree in Computer Science, Mathematics, Statistics, Finance, or related field Familiarity with AWS services such as S3, Redshift, EMR, Athena, etc. Experience with MachineLearning projects Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make more »
Role Overview: As a MachineLearning Engineer Contractor, you will be responsible for designing, developing, and implementing advanced machinelearning models and algorithms to solve complex business problems. You will collaborate closely with cross-functional teams, including data scientists, software engineers, and product managers, to understand … project requirements, identify opportunities for applying machinelearning techniques, and deliver high-quality solutions. Your expertise in machinelearning, data analysis, and programming will be critical in driving the success of our projects. Responsibilities: Develop and implement machinelearning models and algorithms to solve … business problems, employing techniques such as supervised and unsupervised learning, deep learning, natural language processing, and computer vision. Collaborate with stakeholders to define project requirements, identify data sources, and establish success criteria. Conduct exploratory data analysis, data preprocessing, and feature engineering to optimize model performance. Train, validate, and more »
Job Title: Head of MachineLearning/AI Location: London, UK Company: We are a dynamic mid-sized biotech company pioneering in drug discovery. Utilizing the latest technologies, we accelerate the development of life-saving treatments. Salary: Up to £160,000. Role Overview: We're seeking an innovative … Head of MachineLearning/AI to lead the integration of artificial intelligence and machinelearning into our drug discovery processes. As a key player, you'll spearhead strategy, implement AI technologies, and drive transformative change. Key Responsibilities: Lead the formulation and execution of our AI … and machinelearning strategy for drug discovery. Build and lead a top-tier team of machinelearning engineers and data scientists. Collaborate across departments to identify AI-driven solutions to enhance drug discovery. Develop and deploy AI algorithms and models, including those for Large Language Models more »
Senior MachineLearning Engineer London, UK (2-3 days in office per week) Salary: £80,000 - £100,000 per annum + discretionary bonus Are you a seasoned MachineLearning Engineer with a passion for cutting-edge technologies? Do you want your work to have a direct … now! Key Responsibilities As a Senior MachineLearning Engineer, you will: Leverage your minimum 5 years of experience in the AI/ML space to lead the development and deployment of advanced machinelearning models. Apply your expertise in regression modelling and time series modelling to … deploying and productionizing machinelearning models. Strong programming skills in languages such as Python, R, or similar. Solid understanding of AI/ML technologies and trends. How to Apply: If you are an experienced Senior MachineLearning Engineer seeking a new challenge and believe you have more »
MachineLearning Engineer £60,000 - £85,000 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 MachineLearning Engineer to join their team. You will be joining a global company going through an excited period of growth that has a modern, tech first mindset. You will get the opportunity to work closely with one of the product teams to create an integrated road map of … ultimately drive the technical projects forward with a direct impact to the business. The ideal candidate must have experience with the full lifecycle of machinelearning - the main requirements are listed below: Experience with Project Management. Experience in the fundamentals of programming, mathematics, and MachineLearningmore »
Data Scientist, you will play a pivotal role in advancing their AI-driven solutions, leveraging your expertise in Python, Natural Language Processing (NLP), AWS, machinelearning, and MLOps. Key Responsibilities: Develop and deploy advanced machinelearning models to extract insights from complex healthcare data. Utilise NLP … techniques to analyse unstructured healthcare data and extract meaningful information. Collaborate with cross-functional teams to integrate machinelearning solutions into their products and services. Design and implement MLOps processes to ensure scalability, reliability, and performance of machinelearning systems. Optimise model performance and accuracy through … continuous experimentation and iteration. Stay updated on the latest advancements in machinelearning and AI technologies, and incorporate relevant techniques into their solutions. Requirements: Master's degree or PhD in Computer Science, Engineering, Statistics, or a related field. Extensive experience (5+ years) as a Data Scientist, with a more »
and MachineLearning solutions. With an ever-growing emphasis on technological advancements in this realm, the business has capitalised on AI and ML technology, helping to provide valuable insights to clients in the social wellbeing and healthcare space. The company was founded by two ex-Harvard professors and … the role. Work to high security and ethical standards – working as part of an engineering team dedicated to security and security engineering. Working on ML Model Pipelines, fine tuning LLMs for optimal performance. Key technologies required: Deep understanding of MachineLearning, MachineLearning Architecture, Service Oriented … start/finish, compressed hours Company Pension Strong personal investment to continued training/development If you’ve got a passion for AI and ML and want to work in one of the most exciting start-ups within the UK at present, please send your CV to David @ neartechsearch.com or more »
Senior MachineLearning 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 »
London, England, United Kingdom Hybrid / WFH Options
BenchSci
looking for a Senior MachineLearning Engineer to join our new Knowledge Enrichment team at BenchSci. You will help design and implement ML-based approaches to analyse complex biomedical data such as experimental protocols and results from several heterogeneous sources, including both publicly available data and proprietary internal … discovery of high value implicit relationships, predicting novel insights/hypotheses. You will collaborate with your team members in applying state of the art ML and graph ML/data science algorithms to this data. You are comfortable working in a team that pushes the boundaries of what is possible … with cutting edge ML/AI, challenges the status quo, is laser focused on value delivery in a fail-fast environment You Will: Analyse and manipulate a large, highly-connected biological knowledge graph constructed of data from multiple heterogeneous sources, in order to identify enrichment opportunities and strategies. Work with more »
MachineLearning Quantitative Researcher A market-leading global hedge fund is looking for a MachineLearning Quantitative Researcher … to join their renowned team. Having full ownership of greenfield projects focused on generating PnL with machinelearning through the application of ML algorithms in sophisticated coding solutions. Work at the forefront of the implementation of deep learning in the trading space with immediate returns on your … and entrepreneurial environment with great opportunities for career progression. Responsibilities: Apply the rigorous scientific method and methods such as NLP, neural networks and deep learning to develop sophisticated trading models across multiple asset classes that inform highly profitable trading strategies. Work with an elite group of software and data more »
City of London, London, United Kingdom Hybrid / WFH Options
E.ON Next
with E.ON Next! We have a broad remit and are recruiting across different business areas. Our projects can range from very complex analyses, to machinelearning models, to automated AI solutions developed and deployed in the cloud. As a Senior Data Scientist at E.ON Next, you will be … Impact Driven: Act as the go-to authority for data products and advanced algorithmic solutions. Your expertise will span from classical models to modern MachineLearning techniques. You can flex what you know to fit the situation and add business value. ● Insightful Storytelling: Masterful in elucidating complex data … experience-related problems such as workforce management, demand forecasting, or root cause analysis. ● BSc or MSc in a quantitative discipline eg. Statistics, Mathematics, Physics, MachineLearning ● Deep expertise in Python (production-level) and SQL ● Proficiency in machinelearning libraries (eg. Pandas, scikit-learn, TensorFlow) and experience more »
Central London / West End, London, United Kingdom Hybrid / WFH Options
E.ON Next
with E.ON Next! We have a broad remit and are recruiting across different business areas. Our projects can range from very complex analyses, to machinelearning models, to automated AI solutions developed and deployed in the cloud. As a Senior Data Scientist at E.ON Next, you will be … Impact Driven: Act as the go-to authority for data products and advanced algorithmic solutions. Your expertise will span from classical models to modern MachineLearning techniques. You can flex what you know to fit the situation and add business value. ● Insightful Storytelling: Masterful in elucidating complex data … experience-related problems such as workforce management, demand forecasting, or root cause analysis. ● BSc or MSc in a quantitative discipline eg. Statistics, Mathematics, Physics, MachineLearning ● Deep expertise in Python (production-level) and SQL ● Proficiency in machinelearning libraries (eg. Pandas, scikit-learn, TensorFlow) and experience more »
Biology What You Will Be Doing in the Company As a Member of Technical Staff, you will play a crucial role in scaling up ML models across GPUs and facilitating model inference via APIs. Joining an interdisciplinary team of machine learners, protein engineers, and biologists, you will collectively work … generative models to design new functional proteins for wet lab assays. You will be responsible for enabling and optimizing large-scale model training, building ML infrastructure for heterogeneous compute infrastructure, and assisting in optimizing model training. Additionally, you will work on enabling and optimizing model inference, exposing models via APIs … enabling large-scale model training, including experience in running training and inference on cloud hardware and distributing data across accelerators. Strong background as an ML engineer with a track record of notable contributions to machinelearning projects. Extensive experience as a software engineer, including architecting and engineering software more »
and Inclusion: We celebrate diverse perspectives and are committed to an inclusive environment where everyone thrives. About The Job Join us as a Senior MachineLearning Engineer (LLM) and play a pivotal role in shaping AI-driven design automation. You will: Lead the development of new generative AI … Computer Science or a related field, or possessing similar practical experience. A minimum of 4 years' experience in Python, with a strong foundation in machinelearning principles. Proficient in modern AI frameworks and libraries, notably PyTorch and Hugging Face. Experienced with foundational Large Language Models (LLMs) APIs in … collaborative environment. It's an advantage if you are proficient in C++ or Julia for research and production purposes. Additional advantage for experience in ML Ops and deployment across various cloud platforms (AWS, GCP, Azure). Benefits Competitive Salary: Fair and attractive compensation 💼 Equity: Significant stake in a rapidly growing more »
London, England, United Kingdom Hybrid / WFH Options
Harnham
and sociable environment on a variety of projects. THE ROLE As a Data Scientist for the business you will: Work on a variety of machinelearning projects end-to-end to create business value, focusing mainly on time series forecasting and propensity modelling Deploy machinelearning … to the business with figures to support Time-series forecasting experience would be beneficial Experience working with geospatial data would be beneficial Experience deploying machinelearning models Strong communication skills & stakeholder management experience Tech: Python, SQL SALARY AND BENEFITS Basic salary £60,000 - £70,000 Hybrid working more »
have developed a unique analytics and management platform for the hospitality industry which can be used directly by their target market. This software uses MachineLearning to automate processes, optimize pricing and provide visualization of actionable insights that their clients can use. Already partnered with over … and be fundamental to the growth and development of the company. The Role Your role within the company will be focused on creating new MachineLearning models for use on their state-of-the-art platform. You’ll be developing and testing new models for forecasting, prediction, and … a STEM subject – ideally from a top UK university Experience with Python/TensorFlow/Keras Experience with Dynamic pricing Solid knowledge & understanding of MachineLearning/Data Science Willingness to learn and work well within a team ·Research experience is a bonus! On offer is a salary more »
Senior MachineLearning Engineer | LLMs Would you like to join a team leading cutting edge projects in providing automation and real-time insights through natural conversation? What will you be doing: Delivery focused role Develop and implement NLP algorithms to address complex business challenges. Utilise Python, AWS SageMaker more »
modeling disciplines; analyzing and presenting data insights and code, communicating effectively with technical developers and non-technical marketing business partners, teammates and leadership; implementing machinelearning algorithms, working end-to-end on machinelearning pipelines in production; data engineering working on ETL pipelines, crawling APIs and more »
the requirements for data needs from across the business. Typically involved in defining how data will be collected, stored, and consumed e.g. MI/ML Projects Acting as an AI architect will be vital to any AI/and ML strand within business, Planning the implementation of solutions, choosing the … the evolution of the architecture as the organisation's needs change. Envision, build, deploy and operationalise an end-to-end machinelearning (ML) and AI pipeline based on needs. Provide a standard common business vocabulary, expressing strategic requirements, outlining high-level integrated designs to meet those requirements, and … Apache Hudi, Apache Kafka, Power BI, BigQuery, DeltaLake, Azure DevOps, Azure Monitor, Azure Data Factory, SQL Server, Azure DataLake Storage, Azure App Service, Azure ML is a plus. Languages : Python, SQL, T-SQL, SSIS and high-level programming knowledge on Spark is a plus. DB: Azure SQL Database, Cosmos DB more »
London, England, United Kingdom Hybrid / WFH Options
Aventum Group
meets the data needs of businesses across the business. Typically involved in defining how data will be collected, stored, and consumed e.g. MI/ML Projects Acting as an AI architect will be vital to any AI or/and ML strand within Aventum; Planning the implementation of solutions, choosing … evaluating the evolution of the architecture as the organisation' needs change. Envision, build, deploy and operationalise an end-to-end machinelearning (ML) and AI pipeline based on needs. Providing a standard common business vocabulary, expressing strategic requirements, outlining high-level integrated designs to meet those requirements, and … Apache Hudi, Apache Kafka, Power BI, BigQuery, DeltaLake, Azure DevOps, Azure Monitor, Azure Data Factory, SQL Server, Azure DataLake Storage, Azure App Service, Azure ML is a plus. Languages : Python, SQL, T-SQL, SSIS, and high-level programming knowledge on Spark is a plus. DB: Azure SQL Database, Cosmos DB more »
London, England, United Kingdom Hybrid / WFH Options
eight&four
for cutting edge web design, interface development, usability and the ergonomics of a system are as important as a mind for innovation, AI and machine learning. This is an exciting opportunity to get involved in agency AI projects - you will work on design, development, and testing software applications that … candidates will have graduate studies in computer science, applied mathematics, or the equivalent, and a passion for solving challenging problems in artificial intelligence and machine learning. Requirements Essential Skills: Expertise in one or more general purpose programming languages including Python, Java, C and C++ Proficiency in web development technologies … end development of web applications, ensuring user-friendly interfaces and smooth user experiences Experience in using front-end frameworks Assist in integrating AI and machinelearning functionalities into our day to day work Exposure to AI and machinelearning concepts Experience in creating and maintaining software more »