1 to 7 of 7 Permanent Machine Learning Scientist Jobs in England

Machine Learning Scientist Paying up to £110,000 Bristol Office (flexible approach to office time – someone commutable would be ideal) VC Backed AI Start-up – Biotechnology La Fosse have partnered with a cutting edge Bio-Tech AI Start-up, who are currently hiring for a Machine Learning Scientist to join their growing team. Their mission is to develop ground breaking AI models that leverage microscopy data and genomics to drive transformative discoveries. You'll work on cutting-edge projects that push the boundaries of what's possible in the field of AI and … projects in an academic, pharmaceutical, or biotechnology setting. If you’re interested in this role, please apply through the advert to find out more! Machine Learning Scientist more »

Machine Learning Scientist Location: London/1 day per week from home Salary: Circa 140K 165K + Benefits Machine Learning Scientist required by fast-growing, Top Tech Company building state-of-the-art deep learning models! This is a varied, challenging role where … youll lead the development and ownership of pioneering research projects in categorical deep learning, from conceptualisation to execution Essential: PhD in Computer Science, Mathematics, or similar discipline At least 2yrs of industrial or academic work post PhD Proven track record of research published in top-tier conferences (e.g. NeurIPS … architectures and a strong interest in category theory or type theory Industrial or academic experience leading a research/technical team, and implementing novel machine learning architectures Tremendous opportunity offering plenty of scope for career progression in a friendly, innovative environment where youll be able significant contributions to more »

Role Overview Join us as a Principal Machine Learning Engineer, leading the charge in merging cloud infrastructure, DevOps, and machine learning to automate and deploy advanced computational processes. This crucial role focuses on crafting sophisticated machine-learning models for diverse industries, driving our technological … evolution. Key Responsibilities - Architect Machine Learning Pipelines: Design and implement robust pipelines for complex data workflows, ensuring scalability, efficiency, and seamless data flow from ingestion to deployment in collaboration with Software team. - Ensure Data Integrity : Conduct data audits, cleanse data, and strategize on acquiring quality data to power … or equivalent) in a quantitative field (e.g., Computer Science, Engineering). - 7+ years in quantitative analytics or data modeling, with a deep understanding of machine learning, predictive modelling, and algorithms. - Proficiency in Python and SQL. Nice to Have - Leadership and project management experience, with a knack for leading more »

Data Scientist/Machine Learning Engineer, Vice President Private Markets is one of the fastest growing asset classes in global financial markets, covering all investments asset classes like real estate, commodities, private equity, hedge funds, and private credit, that are not traded on public exchanges. Our group … works within the Aladdin engineering department building machine learning solutions to facilitate private market investing at BlackRock, and for Aladdin clients. Alts differs from other major asset classes as investment data generally comes in documents in semi or unstructured formats. Our job in the Data Science and Machine Learning group within Private Markets Systems, is to build the systems we need to gather data automatically and at scale and generate investment insights from these documents. Our team was founded four years ago and forms a core component of BlackRock s strategy for expanding into Alts. Our more »

At Loci we re building powerful and fast 3D content understanding algorithms. We leverage cutting-edge technologies such as computer vision, machine learning, and graphics to revolutionise 3D content management and creation. AI has an important role in assisting 3D content creation. Loci s ML platform helps enterprise … search for existing 3D assets with high precision, and create new 3D assets from arbitrary text prompts. Role Summary We're looking for a Machine Learning Scientist to work on methods for 3D content classification, retrieval, generation, and captioning. The role is based in London (Vauxhall) with … be a dream opportunity. Competitive salary & stock options plan. We are backed by leading European VC funds. What You Will Be Doing Building deep learning algorithms for 3D content classification, retrieval, generation, and captioning. Analysing the performance and efficiency of existing approaches and designing new methods to improve the more »

Machine Learning Researcher (London – visit the office 3 days a week) Xcede are delighted to be working with one of the most important ML Research Labs in the UK. The innovation hub sits within one of the world’s largest tech & manufacturing brands The team are working on … in a relevant field (Statistics, Computer Science, etc.) – PhD background strongly preferred (alongside further post-doc research) Excellent knowledge in a range of statistical, machine learning, and deep learning-based methodologies (classification, regression, etc. through to RNNs, signal processing, etc.) Ability to communicate complicated and often hugely more »

years of exp Job Overview: Data Scientist role within the Data & Analytics Project Pool Team to work alongside other Data Scientists to lead and support the implementation of new cloud Data & Analytics services to business users, as well as providing support for existing on premise service offerings. They will … science tools and techniques. Build and productize pipelines. Develop and manage use cases. Conduct internal skills mapping for technologies such as R, Python, Azure, Machine Learning (ML), and Databricks. Essential criteria and experience Proficiency in one or more analytical tools eg R, Python, Tableau, Apache Spark, etc. Proficiency … in Azure Machine Learning and Azure Data Bricks. Pro-activity and self-starting attitude. Excellent analytical and problem-solving ability. Interest in data science techniques and understanding of how to use them to answer real-world questions. Knowledge and experience of how to maintain data, tools and processes more »