9 Machine Learning Jobs in Surrey with Remote Work Options

Audio/Speech ML Research (PhD Intern) I am seeking a PhD student within the field of audio and speech machine learning research to join our client in a 6-month internship starting from summer 2024. An excellent opportunity to work on the research and software development of … in Computer Science, Mathematics or similar with strong machine learning and audio/speech fundamentals, and have first author publications in top ML/AI conferences/journals such as ICML, NeurIPS, ICLR, CVPR, SysML, INTERSPEECH, IEEE TPAMI, IEEE IoT, IEEE TNNLS, JMLR Research specialism in one of … working (3 days on-site/2 days from home weekly Interested? This is an excellent opportunity for a PHD-educated Audio/Speech ML Research Intern. Please apply now for immediate consideration and speak with Chris Wyatt who is recruiting for this position in Surrey, UK. more »

re looking for people that are comfortable with terms like; Statistical Models, Computer Vision, Predictive Analytics, Data Visualization, Large Language Models (LLM), NLP, AI, Machine Learning, MLOPs, Python, Pyspark, and Azure. Flexible Working : The role is 60% work from home Sponsorship : Sadly sponsorship isn't available for these … more than capable with SQL & Python You have exposure to big data technologies such as Spark Ideally you will have experience with statistical analysis, machine learning algorithms, and data mining techniques You have excellent communication skills and can communicate well with both technical and non-technical stakeholders Any more »

business growth and solve complex challenges. They are seeking an experienced Lead Data Scientist with experience in leading, designing and delivering data & AI/ML products, preferably in the Insurance sector. As a Lead Data Scientist, you will lead advanced analytics and ML projects, leveraging the power of Azure tools … with a strong track record of leading and delivering advanced data science projects. Programming languages such as Python or R, and extensive experience with ML algorithms and Models. (Regression, Tree based, Unsupervised, NLP, open-source models). Experience with other Azure cloud services like Azure ML studio, Azure functions, Azure … Pipelines, Mlflow, Promptflow, Azure OpenAI, Azure Synapse Analytics, etc., is a plus. Knowledge Graphs and LLM’s is advantageous. Machine learning algorithms and frameworks (e.g., TensorFlow, Keras, PyTorch). Version control systems (e.g., Git) and CI/CD practices. Ability to lead and mentor data science teams, driving more »

as measuring benefit via A/B testing What you'll do: Collaborate with business partners to enhance processes using new data and sophisticated ML techniques. Manage projects from inception to deployment, including benefit assessment. Uphold and improve standards for code quality, R&D, and model development. Collaborate with DevOps … and Data Engineers to deploy ML models on AWS. Provide mentorship to peers and partners on potential actions and impacts. Develop Python code adhering to standard processes, CI/CD, and test coverage. Qualifications We strongly encourage anyone with the below to apply: You are a self-starter with experience … or equivalent a numerate subject: Machine Learning, Computer Science, Statistics, or similar Demonstrable experience of applying, researching, and developing sophisticated statistical/ML methods to drive value in a commercial setting, Able to work independently and efficiently to deliver projects on time, taking project briefs and refining them more »

and the ability to drive innovation with autonomy and exceptional technical acumen. The ideal candidate will be a visionary in the Artificial Intelligence and Machine Learning landscape, adept at identifying and capitalizing on emerging trends to shape our strategic direction. Core Responsibilities : Serve as a thought leader in … junior engineers to enhance their technical skills, fostering a culture of continuous learning and professional growth. Collaborate closely with cross-functional teams , including ML Engineers, Data Scientists, and Product Managers, to architect, refine, and deploy sophisticated AI solutions. Act as an ambassador of innovation , delivering keynote speeches, hosting webinars … years’ experience as an engineer, designing and executing large-scale solutions in cloud environments, ensuring seamless integration with legacy systems. S trong AI and ML principles , with a track record of model development, deployment, and mastery of MLOps practices. Experienced in crafting enterprise-scale cloud-native AI/ML solutions more »

Cloud Experience with Git and version control systems Desirable Skills and Experience: Experience with other programming languages such as C++ or JavaScript Familiarity with machine learning and artificial intelligence techniques Experience with simulation tools such as Simulink or Xilinx System Generator Knowledge of signal processing techniques Benefits: This more »

skills DV Clearance is required for this role Desirable Skills and Experience: Experience with other programming languages such as Python or Java Familiarity with machine learning and artificial intelligence techniques Experience with simulation tools such as Simulink or Xilinx System Generator Knowledge of signal processing techniques Benefits: This more »

embodies technical excellence and a hands-on approach to problem-solving. In this role, you will have the autonomy to navigate complex AI/ML landscapes, delivering solutions that drive our innovative frontiers. Key Responsibilities: Identify and leverage AI/ML opportunities within our product offerings, transforming insights into actionable … strategies . Act as a beacon of knowledge in AI/ML , influencing our technological trajectory with your expertise. Develop and integrate data science projects from scratch, ensuring they are scalable and perform at the highest level. Collaborate with a diverse team of experts to design, implement, and oversee ML … models that set industry standards. Take on the mantle of an AI/ML evangelist , sharing your knowledge through conferences, webinars, and publications, and providing transformative insights to both clients and peers. Qualifications Skills and Qualifications: At least 5 years of experience in data science, with a portfolio of successful more »

platforms and methodologies. Architect and execute comprehensive data projects, ensuring robust scalability and performance from conception to deployment . Collaborate with a team of ML Engineers, Data Scientists, and other key stakeholders to design, implement, and maintain data pipelines that fuel advanced analytics and AI-driven solutions . Embrace the … Spark or Dask. Strong programming skills in Python, Scala, C#, or Java, and adeptness with cloud SDKs and APIs. Deep understanding of AI/ML to enhance pipeline efficiency, with experience in TensorFlow, PyTorch, AutoML, Python/R, and MLOps platforms like MLflow and Kubeflow. Solid background in DevOps , including more »