1 to 25 of 29 Permanent 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 ❯

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 ❯

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 ❯

C++ Software Engineers (Numerical Modelling, AI/ML, Python)Guildford, Surrey (On-site)£60000 - £100,000 + 25% Bonus, 10% Pension, Private Medical. - A Masters or PhD Degree in Computing or STEM disciplines.- Can work full-time, 5 days a week in Guildford in the office. Your new company This leading Software provider are looking to bolster their engineering team … the Innovation Team which have a broad mandate to work across the entire suite of internal products. You will contribute to the early-stage exploration of technologies such as Machine Learning and AI Engineering and translate experimental code into production quality implementations in an R&D style environment.You'll be working to deliver a new suite of highly … C++, C#) and at least one high-level scientific language (e.g., Python, Julia) andExperience with scientific computing, numerical methods, or computational modelling.Familiarity with emerging and interdisciplinary technologies such as: machine learning, digital twins, agentic systems, reinforcement learning, probabilistic computing, or control systems. What you'll get in return You'll work for a technology focused company building 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 ❯

loves working with data, has a curious mindset, and is passionate about uncovering insights that drive meaningful change. As part of the Customer Experience team, you'll leverage analytics, machine learning, and AI-driven tools to identify trends, behaviours, and opportunities across the customer journey. You'll transform complex data into compelling insights that inform strategic decision-making … and improve customer satisfaction and conversion. Key Responsibilities Design and maintain analytical models, dashboards, and visualisations using tools such as Python, R, Tableau, or Power BI. Apply machine learning and natural language processing techniques to both structured and unstructured data sources. Monitor key CX metrics (NPS, CSAT, conversion rates) to identify emerging trends, opportunities, and risks. Conduct exploratory 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 ❯

identify opportunities for AI integration and help turn complex concepts into real-world impact The Candidate Key attributes of the suitable Applied Data Scientist include: Strong technical grounding in machine learning, deep learning, and AI tool implementation – Python, R, Java, etc. Proactive, curious mindset with a passion for applying AI to solve real-world business challenges. Excellent More ❯

identify opportunities for AI integration and help turn complex concepts into real-world impact The Candidate Key attributes of the suitable Applied Data Scientist include: Strong technical grounding in machine learning, deep learning, and AI tool implementation – Python, R, Java, etc. Proactive, curious mindset with a passion for applying AI to solve real-world business challenges. Excellent More ❯

ll identify opportunities for AI integration and help turn complex concepts into real-world impact The Candidate Key attributes of the suitable AI specialist include: Strong technical grounding in machine learning, deep learning, and AI tool implementation – Python, R, Java, etc. Proactive, curious mindset with a passion for applying AI to solve real-world business challenges. Excellent More ❯

ll identify opportunities for AI integration and help turn complex concepts into real-world impact The Candidate Key attributes of the suitable AI specialist include: Strong technical grounding in machine learning, deep learning, and AI tool implementation – Python, R, Java, etc. Proactive, curious mindset with a passion for applying AI to solve real-world business challenges. Excellent 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 ❯

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 ❯

member of myGwork – the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. IDBS helps BioPharma organizations unlock the potential of AI/ML to improve the lives of patients. As a trusted long-term partner to 80% of the top 20 global BioPharma companies, IDBS delivers powerful cloud software and services specifically designed More ❯

Collaborate in a hybrid team environment with strong support for growth Tech Stack .NET ecosystem : WinForms, WPF, Blazor Cloud & DevOps : Microservices, Docker, REST APIs, CI/CD, Terraform Bonus : Machine Learning, and AI What You’ll Bring Degree in Computer Science, Engineering, Physical Sciences, or Maths Strong coding skills and attention to detail Proven programming experience and a 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 ❯

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 ❯

development working with GUI's, along with Continuous Integration experience.GPU Development would be beneficial, as would 2D/3D Graphics Development and Continuous Integration knowledge.Experience or personal projects exploring Machine Learning and AI would fit well. What you'll get in return You'll work for a technology focused company building innovative products . There's an excellent More ❯

is already architected so the focus currently leans towards UI Development in Blazor using C# - so you should be interested in this kind fo role.Experience or personal projects exploring Machine Learning and AI would fit well. What you'll get in return You'll work for a technology focused company working on a best-in-class product modernisation. More ❯

all accessible anytime, anywhere, through our easy-to-use online platform. Step 2: Full-Stack AI Mastery Dive deeper with in-demand technical skills including Python programming, data handling, machine learning, and version control with Git and GitHub. You’ll work on hands-on mini projects that mirror real-world challenges, helping you build confidence and a strong More ❯

of mathematical or geological problems.Experience in seismic processing, fracture modelling, fault seal analysis, kinematic or geological modelling techniques will serve you well in this role, as would exposure to Machine Learning.CI experience including JIRA, Git, Jenkins, Java, Bash, TestRail. What you'll get in return You'll work for a technology focused company building innovative products . There's 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 ❯