AI that enhances automation and decision-making. Ensuring AI models are scalable and efficient for real-world enterprise deployment. Experimenting with different machine learning and GenAI techniques, including prompt engineering, RAG (Retrieval Augmented Generation), fine-tuning of LLMs, RLHF (reinforcement learning with human feedback), and adversarial techniques. Evaluating AI model performance using statistical and business-driven metrics. Working on … natural language to SQL AI transformations to extract data value. Working on natural language to other meta-language translation/transformation (e.g. LaTeX/mermail.io for diagramming, or natural language to code). Speech to text. Developing explainable AI approaches for transparency and trust. AI Integration into HR, Workforce Management, and Payroll Systems Collaborating with the Technology teams/… internal reports and industry conferences. Prototype and testing AI models before full-scale deployment. Skills & Experience Technical Expertise Understanding of transformer architectures, and large-scale language models. Experience with dataengineering, model optimisation, and distributed computing. Strong programming skills in JavaScript, or Python/other AI-related languages. Strong SQL and data analytics skills. Familiarity with cloud More ❯
A leading Financial Services client in the City of London is now seeking an experienced DataEngineering Manager to join on a permanent basis. This role is offering a base of £85,000 + a strong benefits package and flexible working. The ideal DataEngineering Manager will come from a dataengineering background and … have strong knowledge in SQL, Snowflake, Microsoft Azure, Azure Data Factory and Azure DevOps. The Engineering Manager will design, improve and maintain robust data pipelines within data architecture. To be considered for this role you will need the following: Experience designing, improving and maintaining robust data pipelines Strong SQL programming skills. Knowledge of other programming … languages such as Python, C++ and Java beneficial Possesses a strong understanding of Snowflake - beneficial Experience managing small teams of Data Engineers Strong experience working in a cloud environment and knowledge in the following very beneficial: Microsoft Azure, Azure Data Factory and Azure DevOps Experience working in fast-paced Agile environments Creativity and curiosity for solving complex problems. More ❯
thinking to every engagement. This is a cross-functional role, with high growth potential - the ideal candidate will be highly driven and relish the chance to wear multiple hats (Engineering, Product, Data). Must Haves: UK based: role is remote, but only open to candidates localized within the UK STEM degree: from a top research-intensive university, preferably … in London or Oxbridge Engineering mindset: obsessed with building robust software aligned with best practices Comfortable client facing: as needed to gather requirements and feedback Product-minded: high degree of ownership and deeply invested in the user experience Highly curious: comfortable working through ambiguity with analytical rigor Independent: self-starter, growth mindset, comfortable with limited supervision Efficient: value pragmatism … over idealism (efficiently arrive at 80-20 solutions) Structured: thinker, problem solver, and communicator Key Responsibilities: Design, develop, and maintain Web, Front End, and Data Visualization applications Produce performant, well tested code that scales gracefully with more features, users, and data Assist with deploying and embedding software products into consulting solutions Understand the trade-offs between different engineeringMore ❯