4 of 4 Remote Machine Learning Jobs in East London

transform credit risk management and financial data analytics. The Role This is a development-focused position where you'll be responsible for data extraction, analysis, and model development using ML, DL, and LLMs . You'll clean and manipulate complex financial datasets, build predictive and prescriptive models, and implement them in production environments. Key Details Start Date: ASAP Duration: TBD …/day Responsibilities of a GenAI Specialist Develop and deploy AI models, focusing on GenAI and LLMs . Extract, clean, and analyse structured and unstructured data. Implement scalable ML/DL solutions through the full model lifecycle. Collaborate with cross-functional teams to drive AI innovation. Present analytical findings to business and technology stakeholders. Requirements for a GenAI Specialist: Master … s/PhD in Computer Science, Data Science, Mathematics, or related field. 5+ years of experience in ML modeling, ranking, or recommendation systems . Proficiency in Python, SQL, Spark, PySpark, TensorFlow . Strong knowledge of LLM algorithms and training techniques . Experience deploying models in production environments. Nice to Have: Experience in GenAI/LLMs Familiarity with distributed computing tools More ❯

and Data science programme to drive high impact data science outcomes. Promote excellence and innovation in data science methods for measuring the quality of health and social care services, learning from best practice (national/international), both internally and externally. Assess the effectiveness of different advanced statistical and data science modelling approaches and advise data scientists on best tools … inclusion strategy. Skills and Experience Post-graduate qualification in relevant subject or has equivalent professional experience. In-depth understanding of a wide range of data science techniques, such as machine learning and natural language processing, and able to apply them to a variety of analytic problems. Previous experience in delivery of complex, advanced analytics and/or data … of data science tools, especially Python, R, and SQL Experience of cloud computing - Cloud Computing – Azure, AWS or GCP Substantial experience working in cloud-based tools like Databricks for Machine Learning, Azure Machine Learning and Azure AI Foundry as well as experience helping others to use them. If you are seeking a Data Science leadership role More ❯

as Jenkins, ADO, GitHub actions, CirlceCI etc. Awareness of the latest developments in testing tools and design patterns. Bonus Points for: Experience with emerging technologies, e.g using AI/ML within your engineering projects. Familiarity with testing in cloud environments such as AWS, Azure or Google Cloud . Whats in It for You? We believe in rewarding great work. Heres More ❯

Tools (e.g. Adobe Analytics, Amplitude, Mixpanel). Ability to set up behavioural tracking measurement plans (e.g. designing events schemas). Strong analytical skills, including A/B Testing, foundational Machine Learning concepts, Data Visualisation and Storytelling. Good communication and stakeholder management skills, experience working in cross functional/embedded analytics teams. Good strategic and business thinking, allowing to More ❯