Newark, Nottinghamshire, England, United Kingdom Hybrid / WFH Options
Future Prospects
Software Engineers and product teams to integrate AI solutions into productions systems, as well as: Design, develop, and implement AI models and algorithms for various applications. Optimize and scale machinelearning models for performance and efficiency. Conduct research and stay up-to-date with the latest advancements in AI and machine learning. Analyse large datasets to extract … and the ability to coordinate initiatives to ensure the timely delivery of AI-driven projects, as well as: Bachelor’s or master’s degree in computer science, Artificial Intelligence, MachineLearning, or a related field (desirable). Strong understanding of data structures, algorithms, and software engineering principles. Familiarity with data preprocessing, feature engineering, and model evaluation techniques. Familiarity … with AI, machinelearning, or blockchain technologies. Excellent communication, and problem-solving skills. Understanding of cloud technologies, security principles, and modern development tools. Experience working with cross-functional teams. Familiarity with Agile development methodologies and DevOps practices, and Proficiency in programming languages such as Python, Java, or C++ would be beneficial. Knowledge of Azure Dev Ops and Power More ❯
Bristol, Avon, South West, United Kingdom Hybrid / WFH Options
Hargreaves Lansdown
identify new opportunities for growth and improvement, leveraging your existing skills while also expanding your expertise across diverse projects and technologies. What you'll be doing Develop and implement machinelearning products in the cloud that improve client experiences and boosts colleague productivity in real-time. Continuously monitor, retrain, and optimise existing models to ensure optimal performance. Partner … intelligently and effectively. About you You have strong commercial experience in data, with a proven track record of solving complex problems and delivering tangible results. Experience building and deploying machinelearning solutions in the cloud (AWS experience preferred). Strong proficiency in coding (Python) and SQL (Snowflake). Excellent stakeholder management skills, capable of building trust and fostering … in production-grade code, with a focus on scalability and reliability. Experience with large-scale data analysis, manipulation, and distributed computing platforms (e.g., Hive, Hadoop). Familiarity with advanced machinelearning methods, including neural networks, reinforcement learning, and other cutting-edge Gen AI approaches. Skilled in API development and deployment, with a focus on performance and scalability. More ❯
Employment Type: Permanent, Part Time, Work From Home
collect. Efficient, targeted and cost-effective access to data at scale is key to tackle the hardest problems in AD/ADAS, from developing the MachineLearning (ML) models for perception and prediction of human driving patterns, to increasing the sophistication of our validation and simulation by identifying rare and interesting real-world driving situations. We are a … development. Our data science engineers employ statistical modelling and measurement frameworks to model the distribution of road events in the real world, and inform our long-term validation and ML training data strategy. They embed within our engineering teams to help solve domain specific data challenges, such as developing evaluation frameworks for AD/ADAS deployment readiness and the fidelity … frameworks, as well as familiarity with MachineLearning systems. RESPONSIBILITIES Use statistical modeling to shape the our data strategy for data acquisition (real and synthetic), validation and ML training Develop metrics and frameworks to understand the distribution and diversity of data Tackle ambiguous problems using data-driven analysis, and provide actionable insights to inform decision making and demonstrate More ❯
resilient in our efforts to drive long-term, sustainable innovation to meet humanity's most enduring challenges. We are looking to recruita Research Scientist with expertise in large-scale machine learning. In this role you will design, train, and evaluate advanced machinelearning models to support scientific and technological progress across multiple fields Key Responsibilities: Lead significant … results through internal presentations and external publications, as applicable. Maintain high standards of code quality, reproducibility, and team collaboration practices. Qualifications & Experience: PhD or equivalent experience in Computer Science, MachineLearning, or a related discipline. Proven experience in designing and implementing large … scale machinelearning systems, including aspects of model training, finetuning, data management, and distributed computing. A record of publications or patents in the field of AI/ML or related areas. Experience in project leadership and mentoring junior team members. Excellent communication skills and the ability to solve complex problems efficiently. Terms of Appointment: You must have the More ❯
JOB SUMMARY Iambic Therapeutics is hiring a MachineLearning Scientist II or Senior to add clinically relevant imaging to our Enchant platform. You will design and build models that learn from medical images and combine them with multimodal biomedical data to support drug discovery and clinical decision making. This position is remote, with a preference for candidates in … code, documentation, and internal presentations; mentor colleagues in vision and multimodal ML. REQUIRED QUALIFICATIONS PhD with 3+ years (or MS with 5+ years) of industry experience in Computer Vision, MachineLearning, Biomedical Engineering, or related field. Solid experience with deep learning for images, including self supervised pre training, Vision Transformers, or vector quantization methods. Hands on work … ability to work in cross disciplinary teams. PREFERRED QUALIFICATIONS Familiarity with multimodal transformers. Experience aligning image embeddings with molecular or clinical endpoints. Contributions to open source computer vision or ML projects. ABOUT IAMBIC THERAPEUTICS Iambic is a clinical-stage life-science and technology company developing novel medicines using its AI-driven discovery and development platform. Based in San Diego and More ❯
The Amazon Alexa AI team in India is seeking a talented, self-driven Applied Scientist to work on prototyping, optimizing, and deploying ML algorithms within the realm of Generative AI. Key Responsibilities Research, experiment and build Proof Of Concepts advancing the state of the art in AI & ML for GenAI. Collaborate with cross-functional teams to architect and execute technically … of repute. Support on-call activities for critical issues. Basic Qualifications Master's or PhD in computer science, statistics or a related field. 2-7 years experience in deep learning, machinelearning, and data science. Proficiency in coding and software development, with a strong focus on machinelearning frameworks. Experience in Python, or another language … measurements, development and evaluation data sets, etc. Excellent communication skills (written & spoken) and ability to collaborate effectively in a distributed, cross-functional team setting. Papers published in AI/ML venues of repute. Preferred Qualifications Track record of diving into data to discover hidden patterns and conducting error/deviation analysis. Ability to develop experimental and analytic plans for data More ❯
complex business challenges Oversee the end-to-end AI model lifecycle, including data collection, preprocessing, model training, evaluation, and deployment Stay updated with the latest advancements in AI and machinelearning, incorporating best practices into projects Drive data-driven decision-making through advanced analytics and visualization techniques Ensure the security, scalability, and efficiency of AI solutions Lead research … Science, Artificial Intelligence, or a related field Proven experience as an AI engineer or data scientist, with a track record of leading successful AI projects Proficiency in AI and machinelearning frameworks and programming languages (e.g., Python) Strong expertise in data preprocessing, feature engineering, and model evaluation Excellent problem-solving and critical-thinking skills Effective leadership, communication, and … team management abilities A passion for staying at the forefront of AI and machinelearning advancements Benefits Fast moving, challenging and unique business problems Attractive remuneration and performance incentives Strong learning and development plans for your career growth Great career development opportunities in a growing company International work environment and flat organization Competitive salary Seniority level Seniority More ❯
complex geospatial data, and offers real-time or near-real-time insights. You will have the opportunity to work on cutting-edge technologies, including distributed computing, cloud infrastructure, and machinelearning, to deliver a world-class platform that powers critical data-driven applications. Key Responsibilities: Platform Development & Optimization: Design, develop, and optimize the core software platform to handle … on the platform that enable processing, analysis, and visualization of geospatial and sensor data. Develop algorithms and tools for geospatial analysis, pattern recognition, anomaly detection, and predictive modeling using machinelearning techniques. Real-Time Data Processing: Build real-time or near-real-time data processing systems to deliver actionable insights to end-users. Optimize data flows and streaming … Azure, GCP) for big data processing and platform deployment. Strong knowledge of data warehousing, data lakes, and data pipeline design for large-scale data integration and storage. Familiarity with machinelearning and AI techniques for data analytics (e.g., classification, regression, clustering, anomaly detection). Experience with containerization and orchestration tools (e.g., Docker, Kubernetes) for deploying scalable applications. Geospatial More ❯
Postdoctoral Research Assistant in MachineLearning Grade 7: £38,674 - £46,913 per annum (Inclusive of Oxford University weighting) Description We are seeking a full-time postdoctoral researcher to join Torr Vision Group at the Department of Engineering Science (central Oxford). The post is funded by EPSRC and is fixed-term for one year with the possibility … of renewal. This project addresses the high computational and energy costs of Large Language Models (LLMs) by developing more efficient training and inference methods, particularly in continual learning settings. The core focus is on leveraging Reinforcement Learning (RL) to make the training and deployment of LLMs more computationally and sample efficient. This approach aims to improve the accessibility … improve LLM efficiency and sustainability. You will hold a relevant PhD/DPhil or be near completion together with relevant experience. You will have a strong technical background in machinelearning, especially RL and LLMs. An ability to work independently and as part of a collaborative research team is essential. Informal enquiries may be addressed to Dr. Yangchen More ❯
fast-paced environment big problems ignite uswe embrace uncertainty, leaning into complex challenges to unlock groundbreaking solutions. We aim high and stay humble in our pursuit of excellence, constantly learning and evolving as we pave the way for a smarter, safer future. At Wayve, your contributions matter. We value diversity, embrace new perspectives, and foster an inclusive work environment … Learning Engineer Evaluation at Wayve, were looking for the following skills and experience: ~5+ years of relevant industry, including experience designing and implementing offline evaluation pipelines for ML models (vision, multimodal, or embodied AI) Strong software engineering skills, including Python, data processing, and ML tooling Hands-on experience with human annotation workflows (task design, QA, coordination) as well … Immersion in a team of world-class researchers, engineers and entrepreneurs A unique position to shape the future of autonomy and tackle the biggest challenge of our time Bespoke learning and development opportunities Relocation support with visa sponsorship Flexible working hours - we trust you to do your job well, at times that suit you and your time Benefits such More ❯
fast-paced environment big problems ignite uswe embrace uncertainty, leaning into complex challenges to unlock groundbreaking solutions. We aim high and stay humble in our pursuit of excellence, constantly learning and evolving as we pave the way for a smarter, safer future. At Wayve, your contributions matter. We value diversity, embrace new perspectives, and foster an inclusive work environment … Learning Engineer Evaluation at Wayve, were looking for the following skills and experience: ~5+ years of relevant industry, including experience designing and implementing offline evaluation pipelines for ML models (vision, multimodal, or embodied AI) Strong software engineering skills, including Python, data processing, and ML tooling Hands-on experience with human annotation workflows (task design, QA, coordination) as well … Immersion in a team of world-class researchers, engineers and entrepreneurs A unique position to shape the future of autonomy and tackle the biggest challenge of our time Bespoke learning and development opportunities Relocation support with visa sponsorship Flexible working hours - we trust you to do your job well, at times that suit you and your time Benefits such More ❯
at the heart of the business, developing state-of-the-art credit risk models to underpin loan and credit card products. You’ll work with rich datasets, deploy advanced machinelearning techniques, and collaborate … across the business to deliver best-in-market solutions. This is a hands-on role in a team that self-serves deployments and monitoring, without reliance on a separate ML engineering team. Key Responsibilities Develop proprietary risk models to improve underwriting quality and enhance decision-making. Understand the products, data, and strategies to effectively inform risk modelling. Translate business problems … We’re Looking For Proficiency in Python and machinelearning techniques, with a solid understanding of their applications. Knowledge of the credit industry, including products, data, and ML use cases. Strong communication skills and the ability to work effectively within a team. Self-driven, with a proactive approach to leading projects and initiatives. Nice to Have Interest in More ❯
at the heart of the business, developing state-of-the-art credit risk models to underpin loan and credit card products. You’ll work with rich datasets, deploy advanced machinelearning techniques, and collaborate … across the business to deliver best-in-market solutions. This is a hands-on role in a team that self-serves deployments and monitoring, without reliance on a separate ML engineering team. Key Responsibilities Develop proprietary risk models to improve underwriting quality and enhance decision-making. Understand the products, data, and strategies to effectively inform risk modelling. Translate business problems … We’re Looking For Proficiency in Python and machinelearning techniques, with a solid understanding of their applications. Knowledge of the credit industry, including products, data, and ML use cases. Strong communication skills and the ability to work effectively within a team. Self-driven, with a proactive approach to leading projects and initiatives. Nice to Have Interest in More ❯
and broader marketing and sales data. These reveal fresh insights for our clients; helping them to build better products and brands, to deliver effective marketing to consumers. Our software, machinelearning and AI are key to how we deliver impact, centred on: Natural Language Processing, GPT & other LLMs : unearthing trends, themes and other patterns from large text-based … empower consumer facing businesses and their insights & analytics functions Marketing Data Science & Personalisation : using first party consumer data to understand each client's consumer base, building personalisation and other machinelearning models to better engage with and excite consumers Data Engineering & Data Architecture : data engineering across a variety of tools to integrate these leading technologies into optimised and … of an industry-first global analytics programme Develop and deploy automated code pipelines, from data acquisition through cleaning and preparing data for modelling, through to visualisation Help to productionise machinelearning models Work closely with a great programme team - project lead, data scientists and analysts - and interface with client technology counterparts Identify ways to improve data reliability, processing More ❯
Haywards Heath, Sussex, United Kingdom Hybrid / WFH Options
First Central Services
Employer of the Year at the British Insurance Awards 2024, and our Glassdoor score is impressive! We are seeking an Experienced Data Scientist with a passion for Python and machine learning. The ideal candidate will have a proven track record of building and training models to solve real-world problems. Experience in the Insurance industry or with Databricks is … assets. Your focus will be on applying data science techniques individually and collaboratively to generate actionable insights. Responsibilities include working with large, diverse datasets, developing predictive models, and implementing machinelearning algorithms to address business challenges. You will work closely with in-house technology teams and data presentation teams across multiple locations. We value continuous improvement and encourage … sharing ideas to enhance our methods and team knowledge. Core skills required: Proficiency in Python Experience building and training machinelearning models Previous data science experience in a relevant role Optional but advantageous skills: Insurance industry experience Knowledge of Databricks Key activities: Develop data services including deep learning and predictive analytics Perform data analysis and collection to More ❯
Manchester, Lancashire, United Kingdom Hybrid / WFH Options
First Central Services
Employer of the Year at the British Insurance Awards 2024, and our Glassdoor score is impressive! We are seeking an Experienced Data Scientist with a passion for Python and machine learning. The ideal candidate will have a proven track record of building and training models to solve real-world problems. Experience in the Insurance industry or with Databricks is … assets. Your focus will be on applying data science techniques individually and collaboratively to generate actionable insights. Responsibilities include working with large, diverse datasets, developing predictive models, and implementing machinelearning algorithms to address business challenges. You will work closely with in-house technology teams and data presentation teams across multiple locations. We value continuous improvement and encourage … sharing ideas to enhance our methods and team knowledge. Core skills required: Proficiency in Python Experience building and training machinelearning models Previous data science experience in a relevant role Optional but advantageous skills: Insurance industry experience Knowledge of Databricks Key activities: Develop data services including deep learning and predictive analytics Perform data analysis and collection to More ❯
Job ID: AWS EMEA SARL (France Branch) Are you passionate about helping France enterprises transform their businesses through Generative AI and MachineLearning? Do you love building new strategic and data-driven businesses? Do you want to join AI Specialty sales organization, one of the fastest-growing organization within AWS? Join the … France AWS Specialists organization as a Generative AI and MachineLearning Specialist Seller! AWS is seeking an exceptional sales and business development leader specializing in AI/ML solutions for enterprise customers across France. AWS Global Sales (AGS) drives adoption of the AWS cloud worldwide, enabling customers of all sizes to innovate and expand in the cloud. Our … Learning professionals. - 5+ years of AI sales of business development - Extensive Domain knowledge of AI from a business level perspective PREFERRED QUALIFICATIONS - Experience with AWS AI/ML services (SageMaker, Bedrock, Q for Business, Q for Dev etc.) - Entrepreneurship/startup experience - Experience speaking at conferences and events - Experience in consulting or working for large, complex organizations - Bachelor More ❯
Research Fellow in machinelearning and spatial statistics Research Fellow Dept. of Statistics and Dept. of Computer Science, University of Warwick An enthusiastic individual is sought as a postdoctoral research fellow, to work in the area of machinelearning and spatial statistics. The post is a joint appointment between the Departments of Computer Science and Statistics … part of the Turing-Lloyds Register Foundation funded project 'Air Quality Sensor Networks'. This project is likely to involve hierarchical Bayesian models, nonparametric Bayesian inference, graphical models, active learning, experimental design and issues in spatiotemporal inference such as non-stationarity and non-separability. The expectation is that you will produce breakthrough research results in the areas of sensor … Applied Mathematics (or you will shortly be obtaining it). You should have a strong background in one or more of the following areas: Bayesian inference, spatial statistics, probabilistic machine learning. If you have not yet been awarded your PhD but are near submission or have recently submitted your PhD, any offers of employment will be made as Research More ❯
opportunity to join our Security Lab as an AI Security Research Engineer . The role will be focused on AI security in edge architectures. More specifically combining knowledge of ML and system security to robustly protect models and data and AI applications on client devices. You will be contributing to HP's security research, providing analysis of use cases and … future products and services. You will be working closely with other AI security researchers, and with security technologists across HP. The ideal candidate would have a solid background in machinelearning, knowledge of computer security, with a good technical understanding of system software. This position requires a strong engineer w ho can communicate concepts, architecture and design clearly … that iterates and evolves rapidly Job Requirementsfor the AI Security Research Engineer Experience in, or knowledge of, machinelearning solution architectures including Large Language Models (LLMs) Strong ML and software engineering skills Knowledge or interest in computer security An ability to convey technical knowledge to both technical experts and non-technical teams alike The following skills and attributes More ❯
Solihull, West Midlands, West Midlands (County), United Kingdom
Pontoon
drive smarter decisions, better outcomes, and improved operational efficiency. Working as part of a multidisciplinary Analytics & Insights team, you'll contribute to shaping a more data-driven culture-where machinelearning, AI, and statistical modelling are leveraged to create real-world solutions with measurable impact. Your Impact As a Data Scientist, you'll : Collaborate with business leaders to … identify opportunities and translate complex datasets into actionable insights. Design and build predictive models, machinelearning solutions, and smart algorithms. Analyse and visualise trends and patterns that directly influence decision-making across the organisation. Support the development of data products within the Microsoft Azure stack and contribute to modernising data capabilities across a large-scale enterprise. Champion innovation … SQL, and ideally knowledge of Scala, Java, or C++. Deep familiarity with the Microsoft technology stack - including Azure Data Factory, Synapse, Databricks, Power BI, Azure ML. Sound understanding of machinelearning methods (KNN, Naïve Bayes, SVM, Decision Forests). Solid statistical and mathematical foundations (regression, distributions, linear algebra, multivariable calculus). Excellent communication skills - able to explain technical More ❯
drive smarter decisions, better outcomes, and improved operational efficiency. Working as part of a multidisciplinary Analytics & Insights team, you'll contribute to shaping a more data-driven culture-where machinelearning, AI, and statistical modelling are leveraged to create real-world solutions with measurable impact. Your Impact As a Data Scientist, you'll : Collaborate with business leaders to … identify opportunities and translate complex datasets into actionable insights. Design and build predictive models, machinelearning solutions, and smart algorithms. Analyse and visualise trends and patterns that directly influence decision-making across the organisation. Support the development of data products within the Microsoft Azure stack and contribute to modernising data capabilities across a large-scale enterprise. Champion innovation … SQL, and ideally knowledge of Scala, Java, or C++. Deep familiarity with the Microsoft technology stack - including Azure Data Factory, Synapse, Databricks, Power BI, Azure ML. Sound understanding of machinelearning methods (KNN, Na ve Bayes, SVM, Decision Forests). Solid statistical and mathematical foundations (regression, distributions, linear algebra, multivariable calculus). Excellent communication skills - able to explain More ❯
Minimum qualifications: Bachelor's degree in a technical field, or equivalent practical experience. 8 years of experience in program management. Experience in MachineLearning Infrastructure. Preferred qualifications: 8 years of experience managing cross-functional or cross-team projects. Experience in launching MachineLearning or Artificial Intelligence products from research to production. Ability to effectively operate in … of high velocity launches at scale. Thrive in a fast-paced, innovative environment where your technical expertise and program management skills will directly impact Google's AI strategy. The ML, Systems, & Cloud AI (MSCA) organization at Google designs, implements, and manages the hardware, software, machinelearning, and systems infrastructure for all Google services (Search, YouTube, etc.) and Google More ❯
problems. Shape the future of data science and AI — lead transformative projects with real-world impact. We're looking for a Principal Data Scientist to drive advanced solutions in machinelearning, AI, and data analytics across diverse industries. Key Responsibilities Lead complex data science and AI initiatives from concept to deployment. Develop advanced models using machinelearning … learn, etc.). Requirements Proven experience leading end-to-end data science projects. Expertise in machinelearning, statistical modelling, and optimisation. Strong coding skills (Python, cloud platforms, ML frameworks). Ability to communicate complex ideas to both technical and non-technical stakeholders. Leadership experience or a desire to mentor and guide teams. Ability to link work to commercial More ❯
connect data, software, and purpose to create extraordinary outcomes. You could say we are a digital transformation business. We specialize in software product development, analytics, data science, IoT solutions, machinelearning, DevOps optimization, and modernization of applications, data, and platforms. We work with incredible clients in all types of industries such as smart home devices, space exploration, beer … connect data, software, and purpose to create extraordinary outcomes. You could say we are a digital transformation business. We specialize in software product development, analytics, data science, IoT solutions, machinelearning, DevOps optimization, and modernization of applications, data, and platforms. We work with incredible clients in all types of industries such as smart home devices, space exploration, beer … . Strong Pluses Degree in Computer Science or similar technical discipline (helpful, not required). Hands-on experience with Azure cloud services or Power BI. Exposure to AI/machine-learning/GenAI product development. Experience with Azure DevOps, JIRA, Confluence, or similar tools. Why Join Us At Ascent, we help clients connect data, software, and purpose to More ❯
Lead Data Engineer (Databricks) - Leeds (Lead Data Engineer, Team Lead, Technical Lead, Senior Data Engineer, Data Engineer, Python, PySpark, SQL, Big Data, Databricks, R, MachineLearning, AI, Agile, Scrum, TDD, BDD, CI/CD, SOLID principles, Github, Azure DevOps, Jenkins, Terraform, AWS CDK, AWS CloudFormation, Azure, Lead Data Engineer, Team Lead, Technical Lead, Senior Data Engineer, Data Engineer … for the team. You will be responsible for building a greenfield modern data platform using cutting-edge technologies, architecting big data solutions and developing complex enterprise data ETL and ML pipelines and projections. The successful candidate will have strong Python, PySpark and SQL experience, possess a clear understanding of databricks, as well as a passion for Data Science (R, MachineLearning and AI). Database experience with SQL and No-SQL - Aurora, MS SQL Server, MySQL is expected, as well as significant Agile and Scrum exposure along with SOLID principles. Continuous Integration tools, Infrastructure as code and strong Cloud Platform knowledge, ideally with AWS is also key. We are keen to hear from talented Lead Data Engineer candidates More ❯