1 to 25 of 67 Permanent Machine Learning Jobs in Surrey

evaluate statistical and machine learning models to solve real-world problems, testing feasibility and estimating impact before full deployment.Engineer and implement ML-based solutions, owning the full lifecycle – from model development and deployment to monitoring and iteration.Deploy models into production environments, handling the integration and operationalisation of ML … support innovation across teams.Communicate findings, recommendations, and model outcomes to both technical and non-technical audiences through visualisation and data storytelling.Research emerging AI/ML techniques to stay ahead of the curve and identify new opportunities to enhance current systems.Ensure all data science and ML practices adhere to relevant ethical ...

evaluate statistical and machine learning models to solve real-world problems, testing feasibility and estimating impact before full deployment. Engineer and implement ML-based solutions, owning the full lifecycle from model development and deployment to monitoring and iteration. Deploy models into production environments, handling the integration and operationalisation … ML within wider systems and applications. Continuously evaluate and monitor model performance, identifying degradation, performance gaps, or opportunities for optimisation. Collaborate closely with data analysts, engineers, and other stakeholders to define new tools, enhance workflows, and support innovation across teams. Communicate findings, recommendations, and model outcomes to both technical ...

Lead AI/ML Engineer As a Lead AI/ML Engineer in the leisure, travel & tourism industry, you'll focus on building and deploying machine learning models to drive analytics and decision-making. You'll play a vital role in shaping data-driven strategies that contribute … organisation's success. Client Details Lead AI/ML Engineer Our client is a leading UK organisation undergoing an ambitious data and AI transformation. Operating across multiple locations, they are investing heavily in modern analytics, machine learning and predictive modelling capabilities to support smarter decision-making and long ...

join the team and help us in crafting the high calibre games our fans have come to expect.Responsibilities Explore opportunities for the application of ML techniques to optimize and improve our game engine, game creation pipelines, and ultimately enhance the player experienceMaintain and improve the current ML systems that … critical to our development pipelinesEducate all developers across the global studio in the domain and application of ML and associated technologiesGenerate, gather and build a knowledge base of research and expertise in the domain and application of MLRequirementsAt least 4 years of experience in Machine Learning EngineeringProficient ...

join our team. You will report to a Leader of Engine Development and collaborate with game teams, central technology engineers, and researchers to bring ML models into the hands of our players by deploying them directly within EA games. Responsibilities: Evaluate, adapt, extend, and improve existing machine learning runtime technologies, while designing and implementing new solutions from the ground up when needed. Partner with ML experts across EA to assess, apply, and scale models and architectures for on-device performance. Translate ML concepts, tradeoffs, risks, and technical constraints into clear language for different audiences. Build ...

team and help us in crafting the high calibre games our fans have come to expect. Responsibilities Explore opportunities for the application of ML techniques to optimize and improve our game engine, game creation pipelines, and ultimately enhance the player experience Maintain and improve the current ML systems that … critical to our development pipelines Educate all developers across the global studio in the domain and application of ML and associated technologies Generate, gather and build a knowledge base of research and expertise in the domain and application of ML Requirements At least 4 years of experience in Machine ...

team. You'll report to a Leader of Engine Development and collaborate with both game and central technology engineers and researchers to bring ML models into the hands of our players by deploying them directly into EA's games. Responsibilities: Design, build, and maintain robust end-to-end solutions … running machine learning models efficiently on a variety of devices. Partner with ML experts across EA to help adopt and scale new models and architectures optimized for on-device performance. Integrate ML solutions into our proprietary tools and game runtime environments on consoles, PCs, and mobile devices. Write ...

emerging technologies. Key Responsibilities Design, develop and implement AI solutions for customers and internal business requirements Identify opportunities where AI, automation and machine learning can improve business processes Integrate AI technologies into existing IT environments and managed service solutions Work with Microsoft and cloud-based AI technologies, APIs … comfortable working in a customer-facing Managed Service Provider environment. Ideally, you’ll have: Proven experience working as an AI Engineer, AI Consultant, Machine Learning Engineer or similar Practical experience implementing AI solutions within an MSP or managed service environment Strong understanding of Generative AI, LLMs ...

including proficiency in modern programming languages and software development practices (e.g., version control, CI/CD, automated testing).Hands-on experience delivering AI or machine learning solutions at scale, including model development, deployment, and ongoing operations (MLOps).Experience with large language models (LLMs), generative AI techniques, or agentic … applications in operational, trading, or engineering domains (e.g., optimisation, forecasting, natural language interfaces to enterprise data).Formal training or certification in AI/ML (e.g., AWS Machine Learning Specialty, Google Professional ML Engineer, or equivalent).Why join us We’re committed to supporting leaders who want to make ...

proficiency in modern programming languages and software development practices (e.g., version control, CI/CD, automated testing). Hands-on experience delivering AI or machine learning solutions at scale, including model development, deployment, and ongoing operations (MLOps). Experience with large language models (LLMs), generative AI techniques … applications in operational, trading, or engineering domains (e.g., optimisation, forecasting, natural language interfaces to enterprise data). Formal training or certification in AI/ML (e.g., AWS Machine Learning Specialty, Google Professional ML Engineer, or equivalent). Why join us? Were committed to supporting leaders who want ...

following areas:• Exploit development.• Malware analysis.• Secure software development.• Vulnerability research skills.• Machine Learning model development and understanding of the ML eco-system.• Familiarity with vulnerability research tools and frameworks.• Understanding of operating systems, networks and system architecture.• Reverse engineering.Nice to Have• Experience researching AI, machine learning … findings to both specialist and non-specialist audiences.Why Join Us We know that life does not stand still either. That’s why we offer:• Learning as part of the way we work every day, through mentoring, coaching and new opportunities.• ROKE Academy support for technical mastery, leadership development ...

develop Power BI models, dashboards and reporting solutions Analyse large, complex datasets to uncover trends, patterns and opportunities Build and deploy advanced analytics and machine learning models Collaborate with data engineering teams to shape data pipelines Lead, mentor and develop a team of analysts Work closely with senior … Redshift, Databricks or similar Proven track record in building impactful data visualisations (Power BI or equivalent) Strong understanding of statistical modelling, predictive analytics and machine learning Experience leading or mentoring analysts Excellent stakeholder engagement and communication skills Why Join Foodbuy? Be part of a high‐impact, growing analytics ...

develop Power BI models, dashboards and reporting solutions Analyse large, complex datasets to uncover trends, patterns and opportunities Build and deploy advanced analytics and machine learning models Collaborate with data engineering teams to shape data pipelines Lead, mentor and develop a team of analysts Work closely with senior … Redshift, Databricks or similar Proven track record in building impactful data visualisations (Power BI or equivalent) Strong understanding of statistical modelling, predictive analytics and machine learning Experience leading or mentoring analysts Excellent stakeholder engagement and communication skills Why Join Foodbuy? Be part of a high-impact, growing analytics ...

customers make effective use of emerging technologies.Key ResponsibilitiesDesign, develop and implement AI solutions for customers and internal business requirementsIdentify opportunities where AI, automation and machine learning can improve business processesIntegrate AI technologies into existing IT environments and managed service solutionsWork with Microsoft and cloud-based AI technologies, APIs … comfortable working in a customer-facing Managed Service Provider environment.Ideally, you’ll have:Proven experience working as an AI Engineer, AI Consultant, Machine Learning Engineer or similarPractical experience implementing AI solutions within an MSP or managed service environmentStrong understanding of Generative AI, LLMs and AI automationExperience working with ...

services Interest and ability to learn other coding languages as needed (eg.Python, Angular, React) Experience with dependency injection frameworks (eg.Autofac) Experience in distributed computing, machine learning, data science Experience with building data pipelines, data streaming applications Experience in, or enthusiastic, about motorsport What we can offer ...

applicant, but opportunities to develop in these areas will also be provided: Demonstrable technical specialism in one of the following: Data Science, Machine Learning, Optimisation, Operations Research, Statistics, AI Engineering. Leveraging latest AI and Agentic tooling to assist in all stages of the development lifecycle Experience in building ...

Strong programming skills (Python preferred; Java or similar acceptable) Solid experience with cloud platforms (AWS, Azure or GCP) and modern DevOps practices Experience integrating machine learning/GenAI models into real-world systems Experience with LLMs, RAG, vector search, conversational AI, or unstructured data pipelines Familiarity with ...

Larian Studios in Guildford is seeking a Machine Learning Engineer to apply ML techniques to optimize our game engine, pipelines, and player experience. You will maintain ML systems and educate developers across the studio. The role requires 4+ years in ML engineering, proficiency in Python, and a degree ...

working alongside a talented team of Data & AI Engineers, Data Scientists, Analysts, Developers and Architects to design and deliver cutting-edge machine learning and AI-driven solutions. From enabling advanced analytics to supporting product innovation across the business, your work will directly influence how we harness data ...

infrastructure that underpins our products, while guiding a small team of engineers and defining platform standards, data architecture and engineering best practices supporting analytics, machine learning and AI across the business.Key responsibilities* Lead the design, development and optimisation of a Databricks based data platform, ensuring reliability, performance … data science, analytics and product teams to ensure the platform supports their work* Own data quality, governance and observability across pipelines* Support AI and ML enablement including feature stores and model deployment patterns* Translate business requirements into technical solutions* Contribute to platform roadmap, tooling selection and continuous improvementRequired experience* Strong ...

architectures, agentic frameworks) for company-wide consumption. Product AI Integration: Collaborate directly with core engineering teams to embed production-ready generative AI and machine learning features into the Actian Data Intelligence Platform. LLMOps & Governance Infrastructure: Establish strict guardrails, evaluation frameworks, and monitoring tools to track model performance, bias … time-to-market for AI features, and ROI of implemented AI tools. Qualifications & Profile: Technical Background: Strong background as a Senior AI/ML Engineer, LLMOps Engineer, or Software Architect who has successfully built and scaled AI-powered applications in enterprise SaaS or complex data platforms. AI & Engineering Mastery: Deep ...

Formula 1 lifecycle, from aerodynamic development and simulation through to trackside decision-making and race strategy. We bring together software engineering, data science, machine learning, and DevOps expertise to deliver performance-focused solutions. As a Senior Software Engineer, you'll play a key role in the design … values simple, effective solutions and continuous improvement. Adaptable and resilient, able to manage competing priorities and deliver high-quality outcomes. Committed to continuous learning and sharing knowledge with others. Approachable and professional, with the ability to build strong working relationships across a range of stakeholders. Additional Information Success ...

scalable technology solutions.You’ll have the opportunity to work across areas including:Solution and Enterprise ArchitectureApplication and Integration ArchitectureData Architecture and EngineeringCloud and InfrastructureAI, Machine Learning and GenAICyber SecurityDigital and technology transformationYou’ll help define current-state and target-state architectures, technology roadmaps, integration patterns and transition states … Data architecture, modelling, integration, governance or migrationCloud technologies such as Azure, AWS or GCPModern data platforms such as Databricks or SnowflakeApplication and integration architectureAI, ML or GenAITechnology transformation and modernisationArchitecture frameworks, roadmaps and solution designWorking directly with clients and senior stakeholdersExperience with industry platforms such as Guidewire, Sapiens, Duck Creek ...

using Azure, Fabric, Data Platform& DevOps preferred • Experience in designing and implementing cloud-based data and AI solutions with strong understanding of AI/ML concepts, frameworks, and lifecycle management • Proficiency with data integration, ETL, and data pipeline tools • Proven experience of designing and leading the implementation of data governance ...

patterns underpinning insurance modernisation (e.g. Azure, AWS, GCP; core insurance/data platforms; API-led integration).Strong grasp of data, analytics, and AI/ML, including AI-enabled and agentic operating models, and how governed AI adoption drives outcomes.Enough hands-on depth to interrogate solution designs, delivery plans, and estimates ...