HEXWIRED RECRUITMENT LIMITED

Full Stack Software Developer Location: Isle of Wight (On-site, 5 days per week) Salary: 45,000 - 50,000 Hexwired has partnered with a leading software engineering company that develops innovative software solutions for customers across highly technical industries. They are looking for an experienced Full Stack Software Developer to join their growing development team. This is an excellent opportunity for a developer with strong C#, SQL Server and modern web development experience who enjoys building high-quality applications throughout the full software development lifecycle. Key Responsibilities Design, develop and maintain complex software applications using C# and SQL Server. Collaborate with project managers and engineering teams to deliver high-quality software solutions. Produce functional and technical design documentation. Develop, review and maintain clean, reliable code in line with quality standards. Create and execute automated and manual testing. Troubleshoot software issues and support deployed applications. Mentor junior developers and provide technical guidance. Contribute to project planning, architecture and technical estimations. Requirements Degree or Diploma in Computer Science, Software Engineering or a related discipline. 3+ years' commercial Full Stack development experience. Strong experience with C#, SQL Server, HTML5, CSS3 and JavaScript/TypeScript. Experience across the full software development lifecycle. Knowledge of software testing, release management and maintenance. Strong communication and problem-solving skills. Experience working within structured development processes. Desirable Skills ASP.NET Core. React or Vue.js. Azure DevOps, Git and Visual Studio. Power BI or SQL Server Reporting Services. JSON and cloud technologies. Experience producing technical specifications. If you're a Full Stack Software Developer looking to join a collaborative engineering team working on innovative software solutions, we'd love to hear from you. Apply today by contacting Hexwired Recruitment. For more information on this role, or any other opportunities across C++, Embedded Systems, Embedded Linux, C#, .NET, Python, JavaScript, Golang, FPGA, Electronics, Machine Learning, Data Science and Simulation, get in touch with Hexwired Recruitment today.

Senior Machine Learning Engineer Remote Salary 90,000- 160,000 (flexable) Hexwired Recruitment has partnered with an innovative AI technology company developing next-generation machine learning systems for real-world applications. They're looking for an experienced Machine Learning Engineer to join a small, highly technical team building production-grade AI solutions from the ground up. The Role This is a hands-on engineering position where you'll take ownership of key machine learning components throughout their entire lifecycle. You'll be responsible for designing, developing and deploying scalable ML systems that solve complex real-world problems. Your responsibilities will include: Designing and implementing production-ready machine learning systems. Owning the full ML lifecycle, from data preparation and model training through to deployment and optimisation. Translating research concepts into robust, scalable production solutions. Monitoring, debugging and improving models using production data and user feedback. Working closely with software engineers, researchers and product teams to deliver impactful features. Mentoring other engineers through technical leadership, code reviews and best practices. Building systems that balance performance, latency, reliability and scalability. Technology Python PyTorch and/or JAX GPU-based model training and inference Modern machine learning infrastructure What We're Looking For Commercial experience building and deploying machine learning models into production. Strong understanding of modern ML architectures and production challenges. Excellent software engineering skills with a focus on maintainable, production-quality code. Ability to work independently and take ownership of technical delivery. Strong problem-solving skills and a pragmatic approach to engineering. Excellent communication skills and a collaborative mindset. Apply today by contacting Hexwired Recruitment. If you are an experienced Senior Machine Learning Engineer looking for a new remote opportunity paying a market-leading salary up to 160,000. Apply today by contacting Hexwired Recruitment. For more information on this role, or any other jobs across; Embedded, C++ programming, Embedded Linux, Golang Development, FPGA, Python, Javascript, C#, Electronics, Secure Boot, Power Electronics, Digital Design, Machine Learning, Data Science or Simulation contact us today.

Lead Data Engineer Location: London (Hybrid) Salary: 80,000- 115,000 Hexwired has partnered with an exciting AI start-up developing an intelligent automation platform that is transforming the B2C service. They're now looking for a Lead Data Engineer to design and build the data infrastructure that will power the next generation of their AI platform. As one of the first senior data hires, you'll take ownership of the company's data architecture, building scalable pipelines, real-time data processing systems and AI-ready infrastructure while helping shape the future engineering team. Key Responsibilities Design and build scalable batch and real-time data pipelines. Develop data ingestion, transformation and storage solutions for operational and AI workloads. Build and optimise vector search, retrieval systems and ML data pipelines. Ensure data reliability, governance, monitoring and observability across the platform. Work closely with AI, backend and product teams to support model training, inference and product development. Optimise large-scale datasets and database performance. Help define engineering standards and mentor future data engineers. Requirements 7+ years' experience in Data Engineering or Backend Engineering. Strong Python development experience. Experience building distributed data platforms and scalable pipelines. Excellent knowledge of PostgreSQL (or similar relational databases) and NoSQL databases. Experience with vector databases such as Qdrant, Milvus or pgvector . Familiarity with technologies such as Apache Spark, Airflow, Kafka, Elasticsearch/OpenSearch, Pandas and Polars . Strong understanding of data modelling, storage architecture and performance optimisation. Desirable Experience working on AI or Machine Learning platforms. Knowledge of cloud platforms (AWS, Azure or GCP). JavaScript/Node.js experience. Event-driven architecture and stream processing experience. Previous experience within a high-growth start-up environment. What's on Offer Competitive salary with equity options. The opportunity to shape the data architecture of a rapidly growing AI business. Work directly alongside founders and senior engineers. High levels of ownership, autonomy and technical influence. The chance to build technology that is transforming an entire industry. If you're an experienced Data Engineer looking to play a key role in building the foundations of an innovative AI platform, we'd love to hear from you. Apply today by contacting Hexwired Recruitment. For more information on this role, or any other jobs across; Embedded, C++ programming, Embedded Linux, Golang Development, FPGA, Python, Javascript, C#, Electronics, Secure Boot, Power Electronics, Digital Design, Machine Learning, Data Science or Simulation contact us today.

Staff Machine Learning Engineer Remote Salary 100,000- 200,000 (flexible) Hexwired Recruitment has partnered with an exciting AI software company developing advanced machine learning products that solve complex, real-world problems. They're looking for a Technical Lead to bridge research and engineering, taking cutting-edge models from experimentation into robust production systems. The Role This is a senior hands-on leadership position where you'll own the execution of the company's machine learning platform, working closely with research, software engineering and product teams to build scalable, production-grade AI solutions. Responsibilities Own the end-to-end machine learning lifecycle, including data pipelines, model training, evaluation, inference and deployment. Fine-tune and optimise large language models using modern techniques such as LoRA, QLoRA, supervised fine-tuning, preference optimisation and model distillation. Design scalable inference infrastructure with a focus on latency, reliability and operational efficiency. Build and maintain high-quality data pipelines for both synthetic and real-world datasets. Develop robust evaluation frameworks covering model quality, robustness, safety and performance. Optimise GPU utilisation, memory usage and inference performance for production deployments. Work closely with software engineers to integrate ML capabilities into backend services and customer-facing products. Lead technical delivery, mentor engineers and help shape engineering best practices. Balance research ambitions with practical engineering trade-offs to deliver value quickly. Technology Python PyTorch and/or JAX Large-scale GPU training and inference infrastructure Modern ML deployment pipelines Ideal Experience Proven experience delivering machine learning systems into production. Strong understanding of modern foundation models and large language models. Experience building scalable training and inference infrastructure. Excellent software engineering skills with a focus on maintainable, production-quality code. Comfortable leading technical delivery while remaining hands-on. Strong communication skills and the ability to collaborate across research, engineering and product teams. If you are an experienced Staff Machine Learning Engineer looking for a new remote opportunity paying a market-leading salary up to 200,000. Apply today by contacting Hexwired Recruitment. For more information on this role, or any other jobs across; Embedded, C++ programming, Embedded Linux, Golang Development, FPGA, Python, Javascript, C#, Electronics, Secure Boot, Power Electronics, Digital Design, Machine Learning, Data Science or Simulation contact us today.