Ada Meher

Senior .NET Developer - Manchester (Hybrid Remote) - £60k .NET Core & Azure DevOps 2pdw in office Modernisation Project Flexible Culture Agile Scrum Ada Meher is partnering with a Software Vendor in the Rates Management technology space, as they seek to recruit an experienced .NET Developer to help them progress their SaaS product through a modernisation from an on-premise monolith platform to Azure based containers/microservice architecture. The successful candidate will be working in a hands on capacity as well as leading a small squad of developers through their sprints, so you should be familiar with facilitating Scrum ceremonies.The business operates on a hybrid model, with the team working remotely for most of the week and coming in to collaborate with the team 2 days per week in their City Centre offices on Deansgate so candidates should be based locally to Manchester.This same flexibility is found in the way they manage working hours, preferring to focus on productivity over time-at-desk, so it's a perfect role for keeping up with life commitments around work. To Be Considered: Excellent experience with .NET 3.1-8 / .NET Core / ASP.NET MVC Experience leading a small team in a Scrum environment Strong experience with Typescript or JavaScript Experience with CI/CD or Azure DevOps Any experience using Dapper ORM would be a benefit an application Other technologies used in the stack include Typescript on the frontend as well as MSSQL with Dapper ORM & Azure Portal for monitoring. However, rather than a perfect tech stack match the company are looking for strong Software Engineering skills at a principle level, so given the time candidates would be able to pick these technologies up quickly as well as contribute to the continuous improvement of the software. As such please apply with confidence if you lack one or two of these skills.We are anticipating a strong response to this Senior .NET Developer role, so please get in contact today for more information or send a CV to .

Senior Data Engineer - Winchester/London (Hybrid) - £84,000 + 10% bonus 1-2dpw in office Greenfield Enterprise Data Platform Build Flexible Working Private Medical Ada Meher are working with the market leader in Digital Telecommunication & Broadcasting technology solutions as they recruit for a Senior Data Engineer to join them on their migration project from on-prem to an AWS based Enterprise Data Platform. The successful candidate will be working hands on with batch and streaming pipelines, designing systems from scratch and taking a more strategic view of the future roadmap.The business are flexible in nature, with a commitment to work-life balance that allows employees to work the hours that suit them around life's other commitments. They are results focused but do ask for a presence in either the Winchester or Central London offices 1-2 days a week - based business need. To Be Considered: Demonstrable expertise and experience working on large-scale Data Engineering projects Strong experience in Python/PySpark, Databricks & Apache Spark Hands on experience with both batch & streaming pipelines Strong experience in AWS and associated tooling (Eg, S3, Glue, Redshift, Lambda, Terraform etc) Experience designing Data Engineering platforms from scratch Alongside their commitment to work-life balance the business also has an extremely competitive benefits package including, but not limited to, Private Medical, enhanced pension contributions & wellness/gymflex programmes.We are expecting a strong response to this Senior Data Engineer role, so please apply send a CV in to today to avoid missing out!

Senior Data Engineer - Winchester/London (Hybrid) - £84,000 + 10% bonus 1-2dpw in office Greenfield Enterprise Data Platform Build Flexible Working Private Medical Ada Meher are working with the market leader in Digital Telecommunication & Broadcasting technology solutions as they recruit for a Senior Data Engineer to join them on their migration project from on-prem to an AWS based Enterprise Data Platform. The successful candidate will be working hands on with batch and streaming pipelines, designing systems from scratch and taking a more strategic view of the future roadmap.The business are flexible in nature, with a commitment to work-life balance that allows employees to work the hours that suit them around life's other commitments. They are results focused but do ask for a presence in either the Winchester or Central London offices 1-2 days a week - based business need. To Be Considered: Demonstrable expertise and experience working on large-scale Data Engineering projects Strong experience in Python/PySpark, Databricks & Apache Spark Hands on experience with both batch & streaming pipelines Strong experience in AWS and associated tooling (Eg, S3, Glue, Redshift, Lambda, Terraform etc) Experience designing Data Engineering platforms from scratch Alongside their commitment to work-life balance the business also has an extremely competitive benefits package including, but not limited to, Private Medical, enhanced pension contributions & wellness/gymflex programmes.We are expecting a strong response to this Senior Data Engineer role, so please apply send a CV in to today to avoid missing out!

Full Stack AI Software Engineer - Full Remote UK - £90,000 + Equity This role requires a software engineer with experience in implementing RAG pipelines and Vector Search (and hybrid AI searches, preferably). The client I am working with is an AI focused start-up backed by a £1.7M pre-seed investment. They are on a mission to streamline the deal making process, with the founders having had firsthand experience of the lengthiness and challenges of deal processes in the past. Their stack spans across back end, front end, data and crucially AI.This is a great opportunity for an entrepreneurial software engineer who wants to play a part in shaping the technical vision of this business and work on their product from an early stage. What you'll work on: Backend APIs (Python/FastAPI): Build and maintain secure, high-performance services that drive AI features and data access at scale. RAG & vector search: Design and improve retrieval pipelines (embeddings, chunking, hybrid search, ranking, feedback loops), owning schema design, latency, and relevance across vector databases. LLM integration: Connect and orchestrate large language models (OpenAI, Bedrock, etc.), manage prompts, tools, safeguards, and evaluation. Data pipelines: Ingest, clean, and transform structured and unstructured data; design efficient schemas (Postgres/NoSQL) for search and analytics. Frontend (React/Next.js): Deliver user-friendly, performant UIs that make AI-powered features (search, filters, explanations, citations) clear and accessible. Architecture: Shape a modular, scalable platform on AWS (ECS), separating ingestion, retrieval, reasoning, and delivery. Quality & reliability: Ensure reliability through testing, CI/CD, observability (metrics/tracing for LLM and retrieval paths), and performance optimisation. Collaboration: Partner with product and leadership teams, mentor peers, and play a role in shaping technical direction. Innovation: Explore and recommend new technologies, frameworks, and methods for both full-stack and AI development. Requirements: A motivated, hands-on engineer with an ownership mindset, strong communication skills, and a collaborative approach. 5+ years' experience in full-stack development. Strong background in RAG systems , vector databases (pgvector, FAISS, Weaviate, Elasticsearch k-NN), embeddings, and hybrid search methods. Practical knowledge of chunking strategies, indexing, precision/recall trade-offs, reranking, and evaluation techniques. Proficient in Python (FastAPI) and React/Next.js . Solid experience with both SQL and NoSQL databases (Postgres, DynamoDB, etc.). Exposure to LLMs, embeddings, and vector search APIs . Strong understanding of data engineering , schema design, ETL, and optimisation. Proficiency with cloud (AWS preferred) and containerised deployments (Docker, ECS). Knowledge of secure coding practices and managing sensitive data. Excellent communication, problem-solving, and leadership skills. Nice to have Experience with rerankers (e.g., cross-encoders), hybrid retrieval (SQL + vectors), query expansion, or lightweight knowledge graphs. Familiarity with LLM evaluation tooling (LangChain, LlamaIndex, OpenAI Evals) and observability for cost, relevance, and latency. Background in B2B data products or fintech.