Our fast growth tech client is recruiting a System Administrator to ensure that the client delivers an effective and efficient service, ensures customer problems and issues are resolved promptly to enable client satisfaction. PRINCIPLE ACCOUNTABILITIES • Maintain excellent product knowledge of all company products and services. • Contribute and maintain a technical library keeping relevant information up to date. • Provide input for scaling systems as required and technical advice and risk assessments to Service Delivery Manager as required. • Invest time in understanding current and new technical developments and stay up-to-date with these. DESIRABLE QUALIFICATIONS/ EXPERIENCE • MCSA: Office 365 • MCSA: Windows Server 2016/2012 • Exchange Server • Office Suite • Networking • Cisco ASA / Meraki router config • Azure • RDS/ Terminal Services • Mitel • Sophos • Citrix Certified Associate Networking (CCA-N) ALL APPLICANTS MUST BE FREE TO WORK IN THE UK. Exposed Solutions is acting as an employment agency to this client. Please note that no terminology in this advert is intended to discriminate on any grounds and we confirm that we will gladly accept applications from any persons for this role.
Jun 11, 2026
Full time
Our fast growth tech client is recruiting a System Administrator to ensure that the client delivers an effective and efficient service, ensures customer problems and issues are resolved promptly to enable client satisfaction. PRINCIPLE ACCOUNTABILITIES • Maintain excellent product knowledge of all company products and services. • Contribute and maintain a technical library keeping relevant information up to date. • Provide input for scaling systems as required and technical advice and risk assessments to Service Delivery Manager as required. • Invest time in understanding current and new technical developments and stay up-to-date with these. DESIRABLE QUALIFICATIONS/ EXPERIENCE • MCSA: Office 365 • MCSA: Windows Server 2016/2012 • Exchange Server • Office Suite • Networking • Cisco ASA / Meraki router config • Azure • RDS/ Terminal Services • Mitel • Sophos • Citrix Certified Associate Networking (CCA-N) ALL APPLICANTS MUST BE FREE TO WORK IN THE UK. Exposed Solutions is acting as an employment agency to this client. Please note that no terminology in this advert is intended to discriminate on any grounds and we confirm that we will gladly accept applications from any persons for this role.
JOB DESCRIPTION Our client builds AI-powered products for the property and insurance markets in the UK and Australia. The platform helps insurers, loss adjusters and contractors assess damage, generate estimates and produce structured reports. The role A hands-on backend engineering seat. Most of the week is spent building, reviewing and operating production code. There is a clear path to broader technical ownership (architecture leadership, mentoring, principal track) over the next 12 to 18 months for the right person, but this is not a management role today. Must-haves Strong commercial C# and modern .NET (8+) Blazor in production Microservices design and operation Azure (App Service or Container Apps, Azure SQL, Service Bus, Key Vault) Terraform for infrastructure as code Azure DevOps Pipelines for CI/CD API gateway patterns and API security OAuth 2.0 and OpenID Connect, with a security-conscious mindset Jira or Azure DevOps for delivery Practical experience integrating AI components into production services (prompt design, model versioning, evaluation, cost and latency trade-offs) Fluent with Claude Code or directly comparable AI-assisted development tools ALL APPLICANTS MUST BE FREE TO WORK IN THE UK Exposed Solutions is acting as an employment agency to this client. Please note that no terminology in this advert is intended to discriminate on any grounds, and we confirm that we will gladly accept applications from any person for this role.
Jun 09, 2026
Full time
JOB DESCRIPTION Our client builds AI-powered products for the property and insurance markets in the UK and Australia. The platform helps insurers, loss adjusters and contractors assess damage, generate estimates and produce structured reports. The role A hands-on backend engineering seat. Most of the week is spent building, reviewing and operating production code. There is a clear path to broader technical ownership (architecture leadership, mentoring, principal track) over the next 12 to 18 months for the right person, but this is not a management role today. Must-haves Strong commercial C# and modern .NET (8+) Blazor in production Microservices design and operation Azure (App Service or Container Apps, Azure SQL, Service Bus, Key Vault) Terraform for infrastructure as code Azure DevOps Pipelines for CI/CD API gateway patterns and API security OAuth 2.0 and OpenID Connect, with a security-conscious mindset Jira or Azure DevOps for delivery Practical experience integrating AI components into production services (prompt design, model versioning, evaluation, cost and latency trade-offs) Fluent with Claude Code or directly comparable AI-assisted development tools ALL APPLICANTS MUST BE FREE TO WORK IN THE UK Exposed Solutions is acting as an employment agency to this client. Please note that no terminology in this advert is intended to discriminate on any grounds, and we confirm that we will gladly accept applications from any person for this role.
Our client is building the most advanced AI platform in their market. They help their clients serve customers with unmatched speed and accuracy. They ve invested heavily into building the ML stack, partnered with leading universities, and trained models on millions of expert tagged images. Now, they re scaling globally and need a world-class Lead AI Engineer to help push the boundaries of computer vision, video analysis, and multimodal LLMs while solving real-world challenges. Role Overview They are looking for an experienced Lead Data Scientist to spearhead machine-learning initiatives, with particular focus on computer vision, large language models, and production ready ML pipelines in Azure. You will act as the technical lead for the team, setting direction, guiding best practices, and ensuring the successful delivery of high-impact AI solutions. Key Responsibilities Develop, train, and deploy computer vision models (object detection, image classification, segmentation, multi-modal learning) Fine-tune, evaluate, and productionise multi-modal LLMs for business applications. Drive experimentation and prototyping of advanced ML/AI techniques Provide technical direction, mentoring, and hands-on guidance to the data science team. Work with engineering, product, and business stakeholders to align ML strategy with business goals. Architect and productionise end-to-end ML pipelines on Azure, while ensuring scalability, reproducibility, and monitoring of deployed models. Requirements • Strong, current Python, including building and maintaining production services with FastAPI or similar. • Solid machine learning and computer vision background, with real models shipped to production rather than only notebooks and prototypes. • Hands-on experience with a computer vision training and labelling toolchain such as Roboflow, including dataset management and model evaluation. • Experience with Azure AI services such as Azure AI Foundry and Azure OpenAI, or a clear track record on an equivalent cloud AI stack and the ability to pick ours up quickly. • Practical understanding of working in a regulated or compliance-sensitive environment: data residency, de-identification, model governance, auditability, and why explainability matters. • The judgment to scope and lock a problem before building it, and to know when a model is good enough to ship. • OpenCV and classical computer vision alongside deep learning. ALL APPLICANTS MUST BE FREE TO WORK IN THE UK Exposed Solutions is acting as an employment agency to this client. Please note that no terminology in this advert is intended to discriminate on any grounds, and we confirm that we will gladly accept applications from any person for this role.
Jun 09, 2026
Full time
Our client is building the most advanced AI platform in their market. They help their clients serve customers with unmatched speed and accuracy. They ve invested heavily into building the ML stack, partnered with leading universities, and trained models on millions of expert tagged images. Now, they re scaling globally and need a world-class Lead AI Engineer to help push the boundaries of computer vision, video analysis, and multimodal LLMs while solving real-world challenges. Role Overview They are looking for an experienced Lead Data Scientist to spearhead machine-learning initiatives, with particular focus on computer vision, large language models, and production ready ML pipelines in Azure. You will act as the technical lead for the team, setting direction, guiding best practices, and ensuring the successful delivery of high-impact AI solutions. Key Responsibilities Develop, train, and deploy computer vision models (object detection, image classification, segmentation, multi-modal learning) Fine-tune, evaluate, and productionise multi-modal LLMs for business applications. Drive experimentation and prototyping of advanced ML/AI techniques Provide technical direction, mentoring, and hands-on guidance to the data science team. Work with engineering, product, and business stakeholders to align ML strategy with business goals. Architect and productionise end-to-end ML pipelines on Azure, while ensuring scalability, reproducibility, and monitoring of deployed models. Requirements • Strong, current Python, including building and maintaining production services with FastAPI or similar. • Solid machine learning and computer vision background, with real models shipped to production rather than only notebooks and prototypes. • Hands-on experience with a computer vision training and labelling toolchain such as Roboflow, including dataset management and model evaluation. • Experience with Azure AI services such as Azure AI Foundry and Azure OpenAI, or a clear track record on an equivalent cloud AI stack and the ability to pick ours up quickly. • Practical understanding of working in a regulated or compliance-sensitive environment: data residency, de-identification, model governance, auditability, and why explainability matters. • The judgment to scope and lock a problem before building it, and to know when a model is good enough to ship. • OpenCV and classical computer vision alongside deep learning. ALL APPLICANTS MUST BE FREE TO WORK IN THE UK Exposed Solutions is acting as an employment agency to this client. Please note that no terminology in this advert is intended to discriminate on any grounds, and we confirm that we will gladly accept applications from any person for this role.
Our client, a dynamic and innovative data and analytics organisation, is seeking an experienced Data Scientist to join their growing team. This is an excellent opportunity for a candidate who thrives on solving complex problems with data and is motivated by the transformative impact that Data and AI can deliver within organisations. Key Responsibilities Deliver high-quality data science and analytics solutions, contributing to design, development, and product roadmaps. Collaborate with clients and internal teams to gather requirements, analyse data, and validate solutions. Develop and implement descriptive, predictive, and prescriptive analytics, integrating data from multiple sources. Produce clear documentation, reports, and visualisations. Provide technical input for proposals, solution scoping, and proofs-of-concept. Attend occasional client meetings or events across the UK, Europe, and internationally. Required Experience Strong knowledge of data modelling, machine learning, and/or advanced data analytics. Demonstrable track record of delivering data analytics projects as part of a team. Hands-on experience with collaborative software development and version control (preferably Git). Familiarity with Agile/SCRUM methodologies. Exposure to pre-engagement activities such as project scoping, technical feasibility analysis, or prototype development. Comfortable contributing to technical discussions and implementing solutions defined by project leads. Desirable Experience Strong Python expertise. Experience with GNU/Linux environments. Familiarity with key data science and ML frameworks (e.g., scikit-learn, PyTorch, TensorFlow, XGBoost, Hugging Face). Experience in natural language processing, tabular data analysis, or computer vision. SQL proficiency. Exposure to containerisation (Docker, Kubernetes) and cloud-native architectures. Experience with CI/CD, automated testing, and iterative product development. Knowledge of graph databases and graph analysis. Benefits Our client offers an exciting and supportive environment with a strong focus on employee wellbeing and career development. Benefits include: 35 days annual leave (including public holidays) plus up to 10 days unpaid leave. Flexible working arrangements around core hours. Private health insurance and pension scheme. Contribution to gym membership. Ongoing professional development support (courses, certifications, conferences). Regular company outings, team celebrations, and knowledge-sharing sessions. Monthly recognition of outstanding performance. ALL APPLICANTS MUST BE FREE TO WORK IN THE UK. Exposed Solutions is acting as an employment agency to this client. Please note that no terminology in this advert is intended to discriminate on any grounds and we confirm that we will gladly accept applications from any persons for this role.
Oct 03, 2025
Full time
Our client, a dynamic and innovative data and analytics organisation, is seeking an experienced Data Scientist to join their growing team. This is an excellent opportunity for a candidate who thrives on solving complex problems with data and is motivated by the transformative impact that Data and AI can deliver within organisations. Key Responsibilities Deliver high-quality data science and analytics solutions, contributing to design, development, and product roadmaps. Collaborate with clients and internal teams to gather requirements, analyse data, and validate solutions. Develop and implement descriptive, predictive, and prescriptive analytics, integrating data from multiple sources. Produce clear documentation, reports, and visualisations. Provide technical input for proposals, solution scoping, and proofs-of-concept. Attend occasional client meetings or events across the UK, Europe, and internationally. Required Experience Strong knowledge of data modelling, machine learning, and/or advanced data analytics. Demonstrable track record of delivering data analytics projects as part of a team. Hands-on experience with collaborative software development and version control (preferably Git). Familiarity with Agile/SCRUM methodologies. Exposure to pre-engagement activities such as project scoping, technical feasibility analysis, or prototype development. Comfortable contributing to technical discussions and implementing solutions defined by project leads. Desirable Experience Strong Python expertise. Experience with GNU/Linux environments. Familiarity with key data science and ML frameworks (e.g., scikit-learn, PyTorch, TensorFlow, XGBoost, Hugging Face). Experience in natural language processing, tabular data analysis, or computer vision. SQL proficiency. Exposure to containerisation (Docker, Kubernetes) and cloud-native architectures. Experience with CI/CD, automated testing, and iterative product development. Knowledge of graph databases and graph analysis. Benefits Our client offers an exciting and supportive environment with a strong focus on employee wellbeing and career development. Benefits include: 35 days annual leave (including public holidays) plus up to 10 days unpaid leave. Flexible working arrangements around core hours. Private health insurance and pension scheme. Contribution to gym membership. Ongoing professional development support (courses, certifications, conferences). Regular company outings, team celebrations, and knowledge-sharing sessions. Monthly recognition of outstanding performance. ALL APPLICANTS MUST BE FREE TO WORK IN THE UK. Exposed Solutions is acting as an employment agency to this client. Please note that no terminology in this advert is intended to discriminate on any grounds and we confirm that we will gladly accept applications from any persons for this role.
