1 to 25 of 28 Machine Learning Jobs in Surrey

within a thriving environment that is constantly evolving, driven by technological advancements and a visionary approach to future challenges in the AI space. Responsibilities: Build and refine AI/ML models, focusing on LLM-based solutions including RAG, fine-tuning, and prompt engineering. Design and implement AI-powered solutions, leveraging Python, SQL/NoSQL, and APIs for seamless integration. Prototype … and rigorously test AI applications, focusing on improving performance through strategic feature engineering and model optimization. Engage with the latest open-source AI/ML tools to enhance business solutions continuously. Develop, deploy, and manage machine learning models aimed at solving complex real-world business problems. Utilize backend and data processing skills to manage both structured and unstructured … like Hugging Face, LangChain. Preferred/Advantage - Understanding of data structures, algorithms, and solution architecture. Familiarity with major cloud AI platforms (AWS, Azure, GCP). Broad knowledge of various ML algorithms including supervised, unsupervised, and deep learning. Strong problem-solving and effective communication skills. Qualifications: Bachelors or Masters degree in Computer Science, Data Science, Machine Learning, Engineering, or More ❯

As a Computer Vision and Machine Learning Engineer, you will: Explore and experiment with emerging technologies to continuously improve our AI-driven content reconstruction, creation and edition processes. Review the state of the art computer vision research papers and develop prototype solutions. Develop cutting-edge software and algorithms for computer vision, image processing and deep learning models … Have technical responsibility for one or more significant sections of the assigned project Translate complex functional and technical requirements into detailed design Essential Skills Masters or higher degree in ML/AI, Computer Science/Engineering, or related disciplines Professional software development experience with modern C++ Experience with GPU compute in CUDA/OpenCL Excellent communication, teamwork and a results … Developing with machine learning frameworks – Tensorflow/Pytorch Model optimization and knowledge distillation. Strong fundamentals in machine learning, NLP and Computer Vision Publications in top ML/AI conferences/journals (e.g., ICML, NeurIPS, ICLR, CVPR, ECCV, IEEE TPAMI, AAAI or similar) Experience in Android application development More ❯

As a Computer Vision and Machine Learning Engineer, you will: Explore and experiment with emerging technologies to continuously improve our AI-driven content reconstruction, creation and edition processes. Review the state of the art computer vision research papers and develop prototype solutions. Develop cutting-edge software and algorithms for computer vision, image processing and deep learning models … Have technical responsibility for one or more significant sections of the assigned project Translate complex functional and technical requirements into detailed design Essential Skills Masters or higher degree in ML/AI, Computer Science/Engineering, or related disciplines Professional software development experience with modern C++ Experience with GPU compute in CUDA/OpenCL Excellent communication, teamwork and a results … Developing with machine learning frameworks – Tensorflow/Pytorch Model optimization and knowledge distillation. Strong fundamentals in machine learning, NLP and Computer Vision Publications in top ML/AI conferences/journals (e.g., ICML, NeurIPS, ICLR, CVPR, ECCV, IEEE TPAMI, AAAI or similar) Experience in Android application development More ❯

enhance functionality. Integration: Integrate Power Platform solutions with Microsoft 365 services (like Teams and SharePoint) and other third-party systems or APIs. Data & AI Integration: Utilize AI Builder and machine learning models to add intelligence to applications and automations. Collaboration: Work closely with business analysts, stakeholders, and end-users to understand requirements and ensure solutions meet business objectives. … Essential Skills & Knowledge: Microsoft Power Platform: Deep knowledge of Power Apps, Power Automate, Power BI, and Dataverse. AI & Machine Learning: Experience with AI automation tools, machine learning models, and AI Builder for enhanced functionality. Copilot Studio: Expertise in building and deploying conversational AI solutions with Copilot Studio. Programming Languages: Proficiency in languages like C# and JavaScript More ❯

issues and faults across manufacturing, logistics, car build, and race days. Innovation around finding patterns and relationships between faults and issues will be key, by using data, analytics, and machine learning to deliver world championship reliability tools. Role Dimensions The Software & Data Science group in McLaren F1 is responsible for the analysis, design, and delivery of software tools … and methodologies which improve the team and car's performance. We are a cross-functional group, bringing together data science, machine learning, software engineering, and DevOps to deliver performance focused platforms and solutions. In reliability engineering, you will understand issue tracking and management, root cause analysis, integrating with other systems through API's, and will have experience in … and adaptable, detail orientated, and get satisfaction from delivering to a high standard. Able to work autonomously under pressure and to tight deadlines. You recognise the importance of continuous learning and sharing that knowledge with others. Approachable, with balanced judgment and a high level of personal integrity. What can McLaren offer? We constantly strive to be better tomorrow than More ❯

and architectures, ensuring they are scalable and effective across both cloud and on-premise platforms. Lead the prototyping, testing, and optimization of AI models to drive continuous advancement in machine learning applications. Collaborate with project managers and cross-functional teams to identify and build use cases that leverage AI to solve complex business challenges. Provide expert consultation on … the integration and performance improvement of AI technologies in day-to-day business processes. Skills & Experience: Proven expertise in General AI, Natural Language Processing, and Machine Learning. Demonstrable experience in managing lifecycle of large language models and statistical language models including training and fine-tuning. Strong proficiency in Python, Java, and SQL/NoSQL databases, along with API development … Practical experience with deploying AI models on-premise and utilizing open-source frameworks such as Hugging Face and LangChain. Qualifications: Bachelors or Masters degree in Computer Science, Data Science, Machine Learning, Engineering, or a related field. Benefits: 25 days annual leave plus a flexible benefits allowance of £660 per annum. Discretionary performance-based bonus and a comprehensive pension More ❯

solving skills and the ability to balance engineering rigor with delivery speed. Solid understanding of software architecture, cloud infrastructure (AWS, Azure, or GCP), and modern DevOps practices. Experience integrating machine learning models into production systems (e.g., LLMs via APIs, fine … tuning, RAG patterns, embeddings, agents and crew of agents etc.). Ability to move quickly while maintaining code quality, test coverage, and operational excellence. Preferred: Familiarity with AI/ML tools such as LangChain, Haystack, Hugging Face, Weaviate, or similar ecosystems. Hands-on experience with Retrieval Augmented Generation applications, AI agents and systems built around them. Experience using GenAI frameworks … d love to meet you. At bp, we provide an excellent working environment and employee benefits such as an open and inclusive culture, a great work-life balance, tremendous learning and development opportunities to craft your career path, life and health insurance, medical care package and many others. We support our people to learn and grow in a diverse More ❯

processing, and analysis, to simulation and car setup optimisation, to trackside operational decision-making tools such as race strategy. We are a cross-functional group, bringing together data science, machine learning, software engineering, and DevOps to deliver performance focussed platforms and solutions. As a Senior Specialist Software Engineer, your role will combine elements of technical leadership, agile/ More ❯

build tracking frameworks across teams. Partner with product, engineering, AI and data science teams to accelerate development. Work with architects to design data products, test new tools, and support ML/AI workflows. Ensure data quality, integrity and consistency across multiple sources. Thrive in a fast-paced trading environment where insight shapes strategy. Qualifications What we’d love you to … bring: Passion for using data to tell stories, make insight actionable, and influence decisions. Strong understanding of data models and analytics; exposure to predictive modelling and machine learning is a plus. Proficient in SQL and Python, with bonus points for PySpark, SparkSQL, and Git. Skilled in data visualisation with tools such as Tableau or Power BI. Confident writing More ❯

of customer analytics, segmentation and targeting, promotional resource allocation, field force sizing, omnichannel analysis, etc. Effectively collaborate on the delivery of advanced analytics including predictive modelling, data science and machine learning, as needed Seek continuous improvement, including identification of new capabilities and/or data to maximize Pfizer’s competitive advantage Performance Management/Forecasting/Operating Plan More ❯

deployment Tech Stack Frontend : Blazor (primary framework), WinForms, WPF, or Angular, React, Vue Backend : C# .NET Cloud & DevOps : Microservices, Docker, REST APIs, CI/CD, Terraform Bonus : Exposure to Machine Learning and AI What You’ll Bring A degree in Computer Science, Engineering, Maths, or Physical Sciences Solid programming experience with a focus on clean, scalable code Strong More ❯

accessible Ensure data consistency, quality, and scalability across the organisation Nurture stakeholder relationships and translate business needs into insightful analytical solutions Explore and integrate emerging technologies, including AI/ML, to enhance data capabilities Promote and uphold data standards and best practices within the Analytics and Data Engineering team Support and empower data-driven decision-making across the business Carry More ❯

accessible Ensure data consistency, quality, and scalability across the organisation Nurture stakeholder relationships and translate business needs into insightful analytical solutions Explore and integrate emerging technologies, including AI/ML, to enhance data capabilities Promote and uphold data standards and best practices within the Analytics and Data Engineering team Support and empower data-driven decision-making across the business Carry More ❯

Engineer job, please apply. For more information on this role, or any other jobs across; Embedded, C++ programming, Embedded Linux, Javascript, typescript, PCB, Hardware, Electronics, FPGA, Python, Golang Development, Machine Learning, Data Science or Simulation contact us today. More ❯

Engineer job, please apply. For more information on this role, or any other jobs across; Embedded, C++ programming, Embedded Linux, Javascript, typescript, PCB, Hardware, Electronics, FPGA, Python, Golang Development, Machine Learning, Data Science or Simulation contact us today. More ❯

on the knowledge of the Data+ certification and enables you to demonstrate your knowledge in advanced data processing, cleaning, and statistical modelling concepts. You will demonstrate your knowledge of machine learning, industry trends and use of specialised data science applications. You will also apply mathematical and statistical methods appropriately. Step 5 is not a requirement for our job More ❯

comprehensive course materials, that will equip students with an understanding of database systems, internet technologies, data, cyber security, networking, and business information systems. You will undertake all aspects of learning, teaching and assessment of students and keep up to date with latest developments in your field and student support practices. Responsibilities include: All aspects of planning, delivering, and assessing … student work, ensuring that all learning outcomes are met Developing, updating, and improving course materials as appropriate Using a variety of learning and teaching methods/materials Actively engaging in staff development activities, peer observations, meetings and other administrative duties Understanding and keeping up to date with latest developments in your field and student support practices Working towards … or more of the following areas: Programming and software development Web development Database systems Cloud computing Networking Cybersecurity IoT and emerging technologies Business IT systems IT management AI and Machine Learning Operating Systems UI/UX You will have experience supervising student work and providing support and feedback You will have experience of accurate reporting and ability to More ❯

comprehensive course materials, that will equip students with an understanding of database systems, internet technologies, data, cyber security, networking, and business information systems. You will undertake all aspects of learning, teaching and assessment of students and keep up to date with latest developments in your field and student support practices. Responsibilities include: All aspects of planning, delivering, and assessing … student work, ensuring that all learning outcomes are met Developing, updating, and improving course materials as appropriate Using a variety of learning and teaching methods/materials Actively engaging in staff development activities, peer observations, meetings and other administrative duties Understanding and keeping up to date with latest developments in your field and student support practices Working towards … or more of the following areas: Programming and software development Web development Database systems Cloud computing Networking Cybersecurity IoT and emerging technologies Business IT systems IT management AI and Machine Learning Operating Systems UI/UX You will have experience supervising student work and providing support and feedback You will have experience of accurate reporting and ability to More ❯

comprehensive course materials, that will equip students with an understanding of database systems, internet technologies, data, cyber security, networking, and business information systems. You will undertake all aspects of learning, teaching and assessment of students and keep up to date with latest developments in your field and student support practices. Responsibilities include: All aspects of planning, delivering, and assessing … student work, ensuring that all learning outcomes are met Developing, updating, and improving course materials as appropriate Using a variety of learning and teaching methods/materials Actively engaging in staff development activities, peer observations, meetings and other administrative duties Understanding and keeping up to date with latest developments in your field and student support practices Working towards … or more of the following areas: Programming and software development Web development Database systems Cloud computing Networking Cybersecurity IoT and emerging technologies Business IT systems IT management AI and Machine Learning Operating Systems UI/UX You will have experience supervising student work and providing support and feedback You will have experience of accurate reporting and ability to More ❯

to lead technical discussions and influence cross-functional partners. Preferred Qualifications Experience with cloud security platforms (e.g., Wiz) and integrating their outputs into detection pipelines. Background in AI/ML or data science applied to cybersecurity detections. Deep understanding of cloud-native architectures, container security, and host-based detection. Experience leading PoCs or greenfield development initiatives in a complex security More ❯

to lead technical discussions and influence cross-functional partners. Preferred Qualifications Experience with cloud security platforms (e.g., Wiz) and integrating their outputs into detection pipelines. Background in AI/ML or data science applied to cybersecurity detections. Deep understanding of cloud-native architectures, container security, and host-based detection. Experience leading PoCs or greenfield development initiatives in a complex security More ❯

companies across the globe. We help scale SaaS and tech start-ups backed by leading Venture Capital and Private Equity firms. Our core markets include: Cloud & Infrastructure Data, AI & Machine Learning Cybersecurity Martech Fintech We recruit for commercial and technical roles across sales, marketing, customer success, and engineering, helping to build world-class teams for disruptive tech businesses. More ❯

Gradle) * Experience using the Android Camera/camera2/CameraX API * Strong understanding of Android app architecture, particularly the activity life cycle * Java * Python/Flask * Interest in AI & ML Edge Processing Due to the nature and urgency of this post, candidates holding or who have held high level security clearance in the past are most welcome to apply. Please More ❯

years of experience, partnering with top Venture Capital and Private Equity firms to scale disruptive SaaS companies. Our expertise spans five core technology sectors: Cloud & Infrastructure Data, AI & ML Cybersecurity Martech Fintech We focus on placing professionals in sales, marketing, engineering, and customer success roles within the technology sector, helping to build the next wave of unicorns and other highly More ❯

Participate in team activities such as planning, retrospectives and reviews. Help lead technical discussions that drive better decision-making and outcomes. Mentor junior and mid-level developers, fostering a learning culture and helping others navigate complex technical challenges. Ensure strong observability, performance monitoring, and security are baked into everything we ship. Contribute to the technical vision of the product … engineering and context management. Familiarity with multiple LLM providers (e.g. OpenAI, Anthropic, Google) and an understanding of their comparative strengths, trade-offs, and integration models. Experience with AI/ML toolchains such as OpenAI, Hugging Face, LangChain, or custom model serving. Demonstrated ability to work on greenfield projects, defining new patterns, processes, and tooling from the ground up. Experience with More ❯