Location Newport, NP10 8QQ About the job Job summary Senior DevOps Engineer Are you passionate about collaborative working and problem solving? Do you enjoy using your technical skills to help teams work more effectively, and get software into the hands of users with speed and stability? Are you looking for a new role in an organisation that treats you as an individual and supports you on your professional and career development journey? Then this is the role for you! We have an exciting opportunity for a DevOps Engineer, within the Platform Engineering group, during the IPO digital transformation journey. Working within an established team, this role provides an opportunity to turn innovative ideas into customer value using a range of technologies and delivery platforms. Key Tech: Azure DevOps YAML Pipelines, Azure, Terraform, scripting, deploying to Azure Machine Learning Working Style This role will be carried out in-line with IPO Hybrid working arrangements where staff are currently expected to spend at least 20% of their time working onsite from one of our offices. This role is based in our Newport Office . The requirement for attendance at an office location can vary by role so we would encourage candidates to discuss working arrangements with the recruiting manager to agree a reasonable balance between working from home and the office. Job description Main duties consist of but are not limited to: Support all aspects of the software development lifecycle, applying DevOps principles and to lead on developing, implementing, enhancing and managing DevOps practices following agreed processes and best practices. Applying industry best practices and patterns across infrastructure and application components e.g. availability, security, performance and scalability. Leading on the design, release and implementation of automated, repeatable, efficient delivery pipelines and holds responsibility for the management, delivery and improvements of the deployments onto Production. Lead delivery, integration, administration and configuration of DevOps tools, seeking continual improvement and ensuring effective transition onto operational support (where applicable). This includes tools for source control, build, CI & CD support, code reviews, security scans, test automation, monitoring and agile management etc. Implementing and configuring DevOps specific monitoring, alerting, auditing and notification strategies and be an advocate for security and performance standards in the organisation Contributing to technical decisions and directions in a collaborative team environment, including solution architecture, estimations, product planning, user stories (requirement) creation. Attending Team and Agile Scrum ceremonies. Sharing knowledge and expertise and providing mentorship and training to other members of the team, enabling them to work in an automated, repeatable fashion. Promoting and encouraging the use of test automation and infrastructure-as-code within delivery teams. Person specification Essential Strong understanding of DevOps principles and experience of working in a DevOps or iterative development culture. Excellent knowledge and proven experience implementing continuous integration (CI) and continuous deployment (CD) tools, including pipeline design and administration. Experience with automated testing and embedding this in CI/CD pipelines. Demonstrable experience in service support including troubleshooting and incident resolution. Experience in identification and tracking of risks and issues. Experience of knowledge sharing and mentoring junior members of the team. Technical Essential Substantial development or scripting experience in one or more of the following: Python Bash PowerShell Substantial experience in administration and configuration of Azure DevOps Pipelines (preferred) or other CI/CD orchestration tools. Substantial experience supporting the build and deployment of, or coding in one or more of the following or equivalent: Python Net Core / C# NextJs / Node frontend Experience with Infrastructure as Code such as Terraform Experience in containerisation technologies and platforms such as Docker or Azure container services such as Azure App Services, Azure Functions, Azure Logic Apps or Azure Container Registry or equivalent. Experience in managing and supporting distributed source code repositories (Git). Experience of consuming cloud platform resources (Microsoft Azure preferred).
01/04/2026
Full time
Location Newport, NP10 8QQ About the job Job summary Senior DevOps Engineer Are you passionate about collaborative working and problem solving? Do you enjoy using your technical skills to help teams work more effectively, and get software into the hands of users with speed and stability? Are you looking for a new role in an organisation that treats you as an individual and supports you on your professional and career development journey? Then this is the role for you! We have an exciting opportunity for a DevOps Engineer, within the Platform Engineering group, during the IPO digital transformation journey. Working within an established team, this role provides an opportunity to turn innovative ideas into customer value using a range of technologies and delivery platforms. Key Tech: Azure DevOps YAML Pipelines, Azure, Terraform, scripting, deploying to Azure Machine Learning Working Style This role will be carried out in-line with IPO Hybrid working arrangements where staff are currently expected to spend at least 20% of their time working onsite from one of our offices. This role is based in our Newport Office . The requirement for attendance at an office location can vary by role so we would encourage candidates to discuss working arrangements with the recruiting manager to agree a reasonable balance between working from home and the office. Job description Main duties consist of but are not limited to: Support all aspects of the software development lifecycle, applying DevOps principles and to lead on developing, implementing, enhancing and managing DevOps practices following agreed processes and best practices. Applying industry best practices and patterns across infrastructure and application components e.g. availability, security, performance and scalability. Leading on the design, release and implementation of automated, repeatable, efficient delivery pipelines and holds responsibility for the management, delivery and improvements of the deployments onto Production. Lead delivery, integration, administration and configuration of DevOps tools, seeking continual improvement and ensuring effective transition onto operational support (where applicable). This includes tools for source control, build, CI & CD support, code reviews, security scans, test automation, monitoring and agile management etc. Implementing and configuring DevOps specific monitoring, alerting, auditing and notification strategies and be an advocate for security and performance standards in the organisation Contributing to technical decisions and directions in a collaborative team environment, including solution architecture, estimations, product planning, user stories (requirement) creation. Attending Team and Agile Scrum ceremonies. Sharing knowledge and expertise and providing mentorship and training to other members of the team, enabling them to work in an automated, repeatable fashion. Promoting and encouraging the use of test automation and infrastructure-as-code within delivery teams. Person specification Essential Strong understanding of DevOps principles and experience of working in a DevOps or iterative development culture. Excellent knowledge and proven experience implementing continuous integration (CI) and continuous deployment (CD) tools, including pipeline design and administration. Experience with automated testing and embedding this in CI/CD pipelines. Demonstrable experience in service support including troubleshooting and incident resolution. Experience in identification and tracking of risks and issues. Experience of knowledge sharing and mentoring junior members of the team. Technical Essential Substantial development or scripting experience in one or more of the following: Python Bash PowerShell Substantial experience in administration and configuration of Azure DevOps Pipelines (preferred) or other CI/CD orchestration tools. Substantial experience supporting the build and deployment of, or coding in one or more of the following or equivalent: Python Net Core / C# NextJs / Node frontend Experience with Infrastructure as Code such as Terraform Experience in containerisation technologies and platforms such as Docker or Azure container services such as Azure App Services, Azure Functions, Azure Logic Apps or Azure Container Registry or equivalent. Experience in managing and supporting distributed source code repositories (Git). Experience of consuming cloud platform resources (Microsoft Azure preferred).
Job title: Senior Machine Learning Engineer Locations: Manchester or Haywards Heath (hybrid working) Role overview Markerstudy Group are looking for a Senior Machine Learning Engineer to help take leading-edge and novel insurance risk modelling and pricing techniques and participate in creating fully automated machine learning pipelines. Markerstudy is a leading provider of private insurance in the UK, insuring around 5% of the private cars on the UK roads, 20% of commercial vehicles and over 30% of motorcycles in total premium levels of circa £1 billion. Most of Markerstudy's business is written as the insurance pricing provider behind household names such as Tesco, Sainsbury's, O2, Halifax, AA, Saga and Lloyds Bank to list a few. As a Senior Machine Learning Engineer, you will use your skills to: Tune machine learning methods to best leverage our state-of-the-art processing capabilities Deploy and maintain machine learning methods in a DevOps / MLOps based machine learning environment Create robust high-quality code using test-driven development (TDD) techniques and adhering to the SOLID coding standards Your work will enable sustained improvements to products, prices and processes giving Markerstudy a critical advantage in the increasingly competitive insurance market by minimizing the development to deployment and monitoring stages of the ML lifecycle through automation. You will also be responsible for refining, tuning, deploying and maintaining machine learning methods in our machine learning pipeline by using robust test-driven development (TDD) approaches to maximise performance and robustness, and improve company performance and our customer-centric offerings across Motor, Home and Commercial Lines businesses. The successful candidate will also enjoy opportunities for leading, coaching, and mentoring more junior ML Engineers. Key Responsibilities: Report and communicate with Senior Stakeholders, such as the Head of Data Science and Machine Learning and Director of Technical Underwriting Propose, proof-of-concept, develop, and deliver novel machine learning processes that automate current manual processes, and leverage DevOps and MLOps software. Work in a collaborative environment with data science to help deploy machine learning methods that are state-of-the-art, robust, and future extensible. Tune machine learning methods for optimal performance. Deploy and maintain machine learning methods in our machine learning pipeline using robust test-driven development (TDD) coding approaches, using the SOLID software development principles. Actively contribute to creating a culture of coding and data excellence Implement efficient solutions across a range of markets, including Private Motor, Commercial Vehicle, Bike, Taxi, and Home Lead and mentor junior machine learning engineers and share best practices Key Skills and Experience: Previous experience in tuning and deploying machine learning methods Experience with some of the following predictive modelling techniques; Logistic Regression, GBMs, Elastic Net GLMs, GAMs, Decision Trees, Random Forests, Neural Nets and Clustering Experience in DevOps and Azure ML, or other MLOps and ML Lifecycle technology stacks, such as AWS, Databricks, Google Cloud, etc. Experience with deploying services in Docker and Kubernetes Experience in creating production grade coding and SOLID programming principles, including test-driven development (TDD) approaches Experience in programming languages (e.g. Python, PySpark, R, SAS, SQL) Experience in source-control software, e.g., GitHub Proficient at communicating results in a concise manner both verbally and written Experience in data and model monitoring is a plus Behaviours: A high level of professional/academic excellence, educated to at least a master's level in a STEM-based or DS / ML / AI / or mathematical discipline Collaborative and team player Logical thinker with a professional and positive attitude Passion to innovate and improve processes
01/04/2026
Full time
Job title: Senior Machine Learning Engineer Locations: Manchester or Haywards Heath (hybrid working) Role overview Markerstudy Group are looking for a Senior Machine Learning Engineer to help take leading-edge and novel insurance risk modelling and pricing techniques and participate in creating fully automated machine learning pipelines. Markerstudy is a leading provider of private insurance in the UK, insuring around 5% of the private cars on the UK roads, 20% of commercial vehicles and over 30% of motorcycles in total premium levels of circa £1 billion. Most of Markerstudy's business is written as the insurance pricing provider behind household names such as Tesco, Sainsbury's, O2, Halifax, AA, Saga and Lloyds Bank to list a few. As a Senior Machine Learning Engineer, you will use your skills to: Tune machine learning methods to best leverage our state-of-the-art processing capabilities Deploy and maintain machine learning methods in a DevOps / MLOps based machine learning environment Create robust high-quality code using test-driven development (TDD) techniques and adhering to the SOLID coding standards Your work will enable sustained improvements to products, prices and processes giving Markerstudy a critical advantage in the increasingly competitive insurance market by minimizing the development to deployment and monitoring stages of the ML lifecycle through automation. You will also be responsible for refining, tuning, deploying and maintaining machine learning methods in our machine learning pipeline by using robust test-driven development (TDD) approaches to maximise performance and robustness, and improve company performance and our customer-centric offerings across Motor, Home and Commercial Lines businesses. The successful candidate will also enjoy opportunities for leading, coaching, and mentoring more junior ML Engineers. Key Responsibilities: Report and communicate with Senior Stakeholders, such as the Head of Data Science and Machine Learning and Director of Technical Underwriting Propose, proof-of-concept, develop, and deliver novel machine learning processes that automate current manual processes, and leverage DevOps and MLOps software. Work in a collaborative environment with data science to help deploy machine learning methods that are state-of-the-art, robust, and future extensible. Tune machine learning methods for optimal performance. Deploy and maintain machine learning methods in our machine learning pipeline using robust test-driven development (TDD) coding approaches, using the SOLID software development principles. Actively contribute to creating a culture of coding and data excellence Implement efficient solutions across a range of markets, including Private Motor, Commercial Vehicle, Bike, Taxi, and Home Lead and mentor junior machine learning engineers and share best practices Key Skills and Experience: Previous experience in tuning and deploying machine learning methods Experience with some of the following predictive modelling techniques; Logistic Regression, GBMs, Elastic Net GLMs, GAMs, Decision Trees, Random Forests, Neural Nets and Clustering Experience in DevOps and Azure ML, or other MLOps and ML Lifecycle technology stacks, such as AWS, Databricks, Google Cloud, etc. Experience with deploying services in Docker and Kubernetes Experience in creating production grade coding and SOLID programming principles, including test-driven development (TDD) approaches Experience in programming languages (e.g. Python, PySpark, R, SAS, SQL) Experience in source-control software, e.g., GitHub Proficient at communicating results in a concise manner both verbally and written Experience in data and model monitoring is a plus Behaviours: A high level of professional/academic excellence, educated to at least a master's level in a STEM-based or DS / ML / AI / or mathematical discipline Collaborative and team player Logical thinker with a professional and positive attitude Passion to innovate and improve processes
Senior AI (ML) Engineer Remote, UK The Company They are a well-funded technology company providing advanced analytics and dashboards to users across the digital asset and crypto ecosystem. Their subscription platform delivers real-time market insight and on-chain intelligence to traders, investors and data-driven organisations. With data and AI at the core of their product, they are scaling quickly and investing heavily in their engineering and AI capabilities. You will join a collaborative, fully remote team that values transparency, curiosity and speed of execution. The Role You will sit in a small, focused AI team and work closely with engineering to design, build and productionise new AI features across the platform. Key responsibilities include: Designing, training and deploying AI and ML models on complex, large-scale data. Building GenAI solutions using techniques such as RAG and frameworks like LangChain and related tooling. Working full-stack across data ingestion, feature engineering, modelling and serving. Combining modern GenAI approaches with classical machine learning techniques to improve product performance. Collaborating with product and engineering teams to integrate models into user-facing features. Monitoring and optimising models in production, ensuring reliability, scalability and quality. Your Skills And Experience Strong commercial experience as an AI, ML or Machine Learning Engineer working on end-to-end solutions. Hands-on experience with GenAI, including RAG and tools such as LangChain or similar frameworks. Proficiency in Python and experience working with a modern cloud environment, ideally GCP. Confidence working across the data lifecycle, including aspects of data engineering. Ability to explain complex technical concepts clearly to both technical and non-technical stakeholders. Genuine interest in crypto and digital assets, with readiness to learn domain-specific tools such as wallet and blockchain analytics. What They Offer Fully remote working within the UK, with flexibility and autonomy. A modern tech stack and the opportunity to work with the latest AI tools and techniques. A culture that values experimentation, learning and impact, with clear opportunities for progression as the AI function grows. How To Apply If you are interested in this Senior AI (ML) Engineer role, please apply with your CV.
01/04/2026
Full time
Senior AI (ML) Engineer Remote, UK The Company They are a well-funded technology company providing advanced analytics and dashboards to users across the digital asset and crypto ecosystem. Their subscription platform delivers real-time market insight and on-chain intelligence to traders, investors and data-driven organisations. With data and AI at the core of their product, they are scaling quickly and investing heavily in their engineering and AI capabilities. You will join a collaborative, fully remote team that values transparency, curiosity and speed of execution. The Role You will sit in a small, focused AI team and work closely with engineering to design, build and productionise new AI features across the platform. Key responsibilities include: Designing, training and deploying AI and ML models on complex, large-scale data. Building GenAI solutions using techniques such as RAG and frameworks like LangChain and related tooling. Working full-stack across data ingestion, feature engineering, modelling and serving. Combining modern GenAI approaches with classical machine learning techniques to improve product performance. Collaborating with product and engineering teams to integrate models into user-facing features. Monitoring and optimising models in production, ensuring reliability, scalability and quality. Your Skills And Experience Strong commercial experience as an AI, ML or Machine Learning Engineer working on end-to-end solutions. Hands-on experience with GenAI, including RAG and tools such as LangChain or similar frameworks. Proficiency in Python and experience working with a modern cloud environment, ideally GCP. Confidence working across the data lifecycle, including aspects of data engineering. Ability to explain complex technical concepts clearly to both technical and non-technical stakeholders. Genuine interest in crypto and digital assets, with readiness to learn domain-specific tools such as wallet and blockchain analytics. What They Offer Fully remote working within the UK, with flexibility and autonomy. A modern tech stack and the opportunity to work with the latest AI tools and techniques. A culture that values experimentation, learning and impact, with clear opportunities for progression as the AI function grows. How To Apply If you are interested in this Senior AI (ML) Engineer role, please apply with your CV.
Team - Data Science Working Pattern - Hybrid - 2 days per week in the Vitality London Office. Full time, 37.5 hours per week. We are happy to discuss flexible working! Top 3 skills needed for this role: Expert AI/ML Skills - Strong in both traditional ML and modern LLM/RAG/agentic workflows Production Deployment & MLOps - Comfortable shipping scalable AI systems using APIs, microservices, Docker/Kubernetes, and cloud (GCP ideal) Business Partnering - Able to translate business needs into clear technical requirements and work across teams What this role is all about: At Vitality, data scientists and AI Engineers develop and deploy innovative AI applications spanning the entire value chain of our business, including marketing, sales & retention, underwriting, claims, health and wellness management, customer service, and fraud. The Data Science function is recognised as a core driver of strategic value within the business, with a high-profile and strong support allowing the team to confidently take on and deliver transformational projects.We are seeking highly skilled AI Engineers to join our growing team. You will design, develop, and deploy AI-driven applications leveraging both traditional machine learning and LLM based applications. The role involves building internal and external AI solutions such as Retrieval-Augmented Generation (RAG) systems, chatbots, and voice-based customer service platforms, all deployed on Google Cloud Platform (GCP). You will work closely with data scientists, software engineers, and product teams to deliver robust, scalable, and production-ready AI solutions. Key Actions Stay current with advancements in LLM frameworks, agentic SDKs, and cloud-native AI deployment Work with the business to gather business requirements for new AI applications Design and implement AI applications Deploy AI applications into production environments on a Google Cloud Platform Collaborate with cross-functional teams to integrate AI applications with Enterprise systems Optimise models for performance, scalability, and cost-efficiency What do you need to thrive? Demonstrable experience of working with the business to create a detailed set of project requirements Strong foundation in traditional machine learning (classification, regression, etc.) Hands-on experience with LLM-based applications Experience building RAG systems and agentic workflows that leverage external tools Familiarity with agentic SDKs (ADK, LangChain, LlamaIndex, etc.) Proven track record of deploying AI applications into production environments Strong understanding of API development, microservices, and containerization (Docker, Kubernetes) Knowledge of MLOps best practices Excellent problem-solving skills and ability to work in a fast-paced environment So, what's in it for you? Bonus Schemes - A bonus that regularly rewards you for your performance A pension of up to 12%- We will match your contributions up to 6% of your salary Our award-winning Vitality health insurance - With its own set of rewards and benefits Life Assurance - Four times annual salary These are just some of the many perks that we offer! To view the extensive range of benefits we offer, please visit our careers page. Fantastic Benefits. Exciting rewards. Great career opportunities! If you are successful in your application and join us at Vitality, this is our promise to you, w e will: Help you to be the healthiest you've ever been Create an environment that embraces you as you are and enables you to be your best self Give you flexibility on how, where and when you work Help you advance your career by playing you to your strengths Give you a voice to help our business grow and make Vitality a great place to be Give you the space to try, fail and learn Provide a healthy balance of challenge and support Recognise and reward you with a competitive salary and amazing benefits Be there for you when you need us Provide opportunities for you to be a force for good in society We commit to all these things because we want you to feel that you belong, and are supported to be happy and healthy.About The CompanyWe're incredibly proud to be recognised for the culture we've created - recently being named one of Glassdoor's Best Places to Work 2026 , and in 2024 we were delighted to be awarded Top 10 Places to Work in the Sunday Times Awards. Vitality is a multi-award-winning UK insurance brand, here to make the world a healthier, happier place.We've been a purpose and values-driven business from day 1- long before it became fashionable. Our core purpose is to make people healthier and enhance protect their lives. Vitality pioneered shared-value insurance. We incentivise people to live healthier longer lives - they benefit, our business benefits, and society benefits. We're successful because we attract, develop, and retain the best people - and because we care. Diversity & Inclusion At Vitality, we're committed to diversity and inclusion because it's good for our employees, for our business, and for society. We welcome applications from individuals of all backgrounds, experiences, and perspectives. Vitality's approach to sustainability Vitality is a business that drives positive change. We reward people for making and sustaining healthier choices. But healthy people also need a healthy environment. To learn more please visit our Careers page.
01/04/2026
Full time
Team - Data Science Working Pattern - Hybrid - 2 days per week in the Vitality London Office. Full time, 37.5 hours per week. We are happy to discuss flexible working! Top 3 skills needed for this role: Expert AI/ML Skills - Strong in both traditional ML and modern LLM/RAG/agentic workflows Production Deployment & MLOps - Comfortable shipping scalable AI systems using APIs, microservices, Docker/Kubernetes, and cloud (GCP ideal) Business Partnering - Able to translate business needs into clear technical requirements and work across teams What this role is all about: At Vitality, data scientists and AI Engineers develop and deploy innovative AI applications spanning the entire value chain of our business, including marketing, sales & retention, underwriting, claims, health and wellness management, customer service, and fraud. The Data Science function is recognised as a core driver of strategic value within the business, with a high-profile and strong support allowing the team to confidently take on and deliver transformational projects.We are seeking highly skilled AI Engineers to join our growing team. You will design, develop, and deploy AI-driven applications leveraging both traditional machine learning and LLM based applications. The role involves building internal and external AI solutions such as Retrieval-Augmented Generation (RAG) systems, chatbots, and voice-based customer service platforms, all deployed on Google Cloud Platform (GCP). You will work closely with data scientists, software engineers, and product teams to deliver robust, scalable, and production-ready AI solutions. Key Actions Stay current with advancements in LLM frameworks, agentic SDKs, and cloud-native AI deployment Work with the business to gather business requirements for new AI applications Design and implement AI applications Deploy AI applications into production environments on a Google Cloud Platform Collaborate with cross-functional teams to integrate AI applications with Enterprise systems Optimise models for performance, scalability, and cost-efficiency What do you need to thrive? Demonstrable experience of working with the business to create a detailed set of project requirements Strong foundation in traditional machine learning (classification, regression, etc.) Hands-on experience with LLM-based applications Experience building RAG systems and agentic workflows that leverage external tools Familiarity with agentic SDKs (ADK, LangChain, LlamaIndex, etc.) Proven track record of deploying AI applications into production environments Strong understanding of API development, microservices, and containerization (Docker, Kubernetes) Knowledge of MLOps best practices Excellent problem-solving skills and ability to work in a fast-paced environment So, what's in it for you? Bonus Schemes - A bonus that regularly rewards you for your performance A pension of up to 12%- We will match your contributions up to 6% of your salary Our award-winning Vitality health insurance - With its own set of rewards and benefits Life Assurance - Four times annual salary These are just some of the many perks that we offer! To view the extensive range of benefits we offer, please visit our careers page. Fantastic Benefits. Exciting rewards. Great career opportunities! If you are successful in your application and join us at Vitality, this is our promise to you, w e will: Help you to be the healthiest you've ever been Create an environment that embraces you as you are and enables you to be your best self Give you flexibility on how, where and when you work Help you advance your career by playing you to your strengths Give you a voice to help our business grow and make Vitality a great place to be Give you the space to try, fail and learn Provide a healthy balance of challenge and support Recognise and reward you with a competitive salary and amazing benefits Be there for you when you need us Provide opportunities for you to be a force for good in society We commit to all these things because we want you to feel that you belong, and are supported to be happy and healthy.About The CompanyWe're incredibly proud to be recognised for the culture we've created - recently being named one of Glassdoor's Best Places to Work 2026 , and in 2024 we were delighted to be awarded Top 10 Places to Work in the Sunday Times Awards. Vitality is a multi-award-winning UK insurance brand, here to make the world a healthier, happier place.We've been a purpose and values-driven business from day 1- long before it became fashionable. Our core purpose is to make people healthier and enhance protect their lives. Vitality pioneered shared-value insurance. We incentivise people to live healthier longer lives - they benefit, our business benefits, and society benefits. We're successful because we attract, develop, and retain the best people - and because we care. Diversity & Inclusion At Vitality, we're committed to diversity and inclusion because it's good for our employees, for our business, and for society. We welcome applications from individuals of all backgrounds, experiences, and perspectives. Vitality's approach to sustainability Vitality is a business that drives positive change. We reward people for making and sustaining healthier choices. But healthy people also need a healthy environment. To learn more please visit our Careers page.
IT Service Delivery Manager Position: Senior Service Manager (Internal Name) Location: Ringwood, Hampshire + Hybrid home working Salary: £40k DOE + Benefits + Company Profit Share Hours: 37.5 hours per week The Role Working alongside two fellow Senior Service Managers, you will form part of a well-established service management team helping to lead the delivery of high-quality IT support services and drive continuous improvement across our operational environment. You will be responsible for the day to day operation of our business as usual support services, including allocating tasks, monitoring and maintaining contractual KPI commitments, producing customer reports, and serving as an escalation point for both internal and external stakeholders. You will take ownership of the end-to-end customer experience, understanding people, processes and technology to maximise service quality and ensure operational excellence. You will also hold line-management responsibilities. Duties Include: Provide strategic oversight of all service operations, including the full lifecycle of incidents, service requests, problems, and major incidents, ensuring SLAs are met and ITIL processes (Major Incident, Change, Problem) are consistently applied. Drive proactive and preventive service delivery by identifying recurring issues, analysing operational data and trends, and implementing improvements that reduce disruption and enhance service stability. Lead customer experience and service governance, including Service Reviews, satisfaction measurement, feedback loops, and actionable service reporting that informs continuous improvement. Build strong relationships with customers, internal teams, and technical stakeholders, acting as a senior escalation point and ensuring collaborative, positive service outcomes. Champion continuous improvement and professional development, driving service quality initiatives, enhancing operational efficiency, and maintaining awareness of evolving technologies and best practice. Skills and Experience: Experience in Service Delivery or IT Service Management (three years preferred), with proven leadership experience, a strong track record managing incidents, problems, and major incidents, and consistently meeting SLAs/KPIs. Solid technical understanding of IT support environments, ideally with previous hands on troubleshooting or IT operations experience. Experience and knowledge of using ITIL v3/v4 best practice. Excellent communication and stakeholder management skills, able to influence senior stakeholders, manage escalations professionally, and present confidently. Strong analytical and reporting ability, using data and service metrics to identify trends, reduce recurring issues, and drive measurable improvements. Ability to learn new technologies quickly. Highly organised and adaptable, capable of managing multiple priorities and performing effectively under pressure. Proactive and improvement focused, committed to continuous learning, professional development, and raising service standards. The role is subject to a standard clear DBS being received. Some travel to customer sites may be involved, so you must have a Full UK Driving license. The Package: Company Profit Share (first £3,600 is tax free) 22 days annual leave plus bank holidays, increasing with length of service Birthday as additional paid leave Additional paid leave (dependent on company performance) Company sick pay policy Pension Scheme Private Medical Insurance including dental Free Parking Hybrid Working Progression opportunities Fresh fruit, the occasional pizza and a posh coffee machine! Trusted Technology Partnership Trusted Technology Partnership has been a specialist IT Infrastructure and Support Services provider for over 25 years. We are an Employee Ownership Trust a growing company. We are proud winners of Best Place to Work award and overall winner of the Ringwood Business Awards 2024. Our core services include support desk, on-site engineering, project management and delivery, storage and logistics, and technical consultancy. We encourage progression within Trusted Technology Partnership for our colleagues, offering opportunities in other teams and departments. Join our friendly company, where a great team and a positive culture await you.
31/03/2026
Full time
IT Service Delivery Manager Position: Senior Service Manager (Internal Name) Location: Ringwood, Hampshire + Hybrid home working Salary: £40k DOE + Benefits + Company Profit Share Hours: 37.5 hours per week The Role Working alongside two fellow Senior Service Managers, you will form part of a well-established service management team helping to lead the delivery of high-quality IT support services and drive continuous improvement across our operational environment. You will be responsible for the day to day operation of our business as usual support services, including allocating tasks, monitoring and maintaining contractual KPI commitments, producing customer reports, and serving as an escalation point for both internal and external stakeholders. You will take ownership of the end-to-end customer experience, understanding people, processes and technology to maximise service quality and ensure operational excellence. You will also hold line-management responsibilities. Duties Include: Provide strategic oversight of all service operations, including the full lifecycle of incidents, service requests, problems, and major incidents, ensuring SLAs are met and ITIL processes (Major Incident, Change, Problem) are consistently applied. Drive proactive and preventive service delivery by identifying recurring issues, analysing operational data and trends, and implementing improvements that reduce disruption and enhance service stability. Lead customer experience and service governance, including Service Reviews, satisfaction measurement, feedback loops, and actionable service reporting that informs continuous improvement. Build strong relationships with customers, internal teams, and technical stakeholders, acting as a senior escalation point and ensuring collaborative, positive service outcomes. Champion continuous improvement and professional development, driving service quality initiatives, enhancing operational efficiency, and maintaining awareness of evolving technologies and best practice. Skills and Experience: Experience in Service Delivery or IT Service Management (three years preferred), with proven leadership experience, a strong track record managing incidents, problems, and major incidents, and consistently meeting SLAs/KPIs. Solid technical understanding of IT support environments, ideally with previous hands on troubleshooting or IT operations experience. Experience and knowledge of using ITIL v3/v4 best practice. Excellent communication and stakeholder management skills, able to influence senior stakeholders, manage escalations professionally, and present confidently. Strong analytical and reporting ability, using data and service metrics to identify trends, reduce recurring issues, and drive measurable improvements. Ability to learn new technologies quickly. Highly organised and adaptable, capable of managing multiple priorities and performing effectively under pressure. Proactive and improvement focused, committed to continuous learning, professional development, and raising service standards. The role is subject to a standard clear DBS being received. Some travel to customer sites may be involved, so you must have a Full UK Driving license. The Package: Company Profit Share (first £3,600 is tax free) 22 days annual leave plus bank holidays, increasing with length of service Birthday as additional paid leave Additional paid leave (dependent on company performance) Company sick pay policy Pension Scheme Private Medical Insurance including dental Free Parking Hybrid Working Progression opportunities Fresh fruit, the occasional pizza and a posh coffee machine! Trusted Technology Partnership Trusted Technology Partnership has been a specialist IT Infrastructure and Support Services provider for over 25 years. We are an Employee Ownership Trust a growing company. We are proud winners of Best Place to Work award and overall winner of the Ringwood Business Awards 2024. Our core services include support desk, on-site engineering, project management and delivery, storage and logistics, and technical consultancy. We encourage progression within Trusted Technology Partnership for our colleagues, offering opportunities in other teams and departments. Join our friendly company, where a great team and a positive culture await you.
Google Cloud Consultant (Cloud / Data / AI) Location: London (Hybrid) Salary: 50,000 - 70,000 + benefits Type: Permanent 83zero are partnered with a leading technology consultancy that helps organisations modernise their digital platforms and unlock value through cloud, data, and AI technologies. Due to continued growth, they are looking for a Google Cloud Consultant to join their expanding cloud practice. This is an excellent opportunity for someone with hands-on GCP experience who is looking to develop their consulting career while working on large-scale cloud and data transformation projects. The Role As a Google Cloud Consultant, you will work closely with clients and internal teams to design and deliver solutions on Google Cloud Platform (GCP) . You will contribute to cloud platform implementations, data solutions, and emerging AI capabilities while supporting senior consultants and architects on customer engagements. This role offers the opportunity to gain exposure to a variety of cloud transformation projects while developing both your technical and consulting skillset . Key Responsibilities Support the design and implementation of cloud solutions on Google Cloud Platform (GCP) Work with clients to understand technical requirements and contribute to solution design Help deliver cloud migration, platform modernisation, and cloud-native solutions Assist with the design and development of data platforms and analytics solutions Contribute to the implementation of AI or machine learning solutions where appropriate Develop and maintain infrastructure using Infrastructure-as-Code tools such as Terraform Support the creation of technical documentation including solution designs and implementation plans Collaborate with architects, engineers, and client stakeholders to ensure successful project delivery Follow best practices around security, governance, and cost optimisation (FinOps) Skills & Experience Essential Experience working with Google Cloud Platform (GCP) in a professional environment Exposure to GCP services such as Compute Engine, Cloud Run, GKE, BigQuery, Cloud Storage, Pub/Sub, or Vertex AI Experience supporting the implementation of cloud infrastructure or data platforms Understanding of Infrastructure-as-Code , ideally using Terraform Strong problem-solving skills and the ability to work collaboratively within project teams Good communication skills and an interest in developing a client-facing consulting career Desirable Experience with data engineering, analytics platforms, or machine learning technologies Exposure to cloud migration or modernisation programmes Knowledge of security or compliance practices within cloud environments Relevant certifications such as Google Associate Cloud Engineer or Professional Cloud Architect What They're Looking For The ideal candidate is someone who enjoys working with modern cloud technologies and wants to build a long-term career in cloud consulting . You'll be curious, technically capable, and comfortable working in collaborative project environments. This is a great opportunity to join a fast-growing consultancy where you will work on cutting-edge cloud, data, and AI projects while continuing to build your technical expertise.
31/03/2026
Full time
Google Cloud Consultant (Cloud / Data / AI) Location: London (Hybrid) Salary: 50,000 - 70,000 + benefits Type: Permanent 83zero are partnered with a leading technology consultancy that helps organisations modernise their digital platforms and unlock value through cloud, data, and AI technologies. Due to continued growth, they are looking for a Google Cloud Consultant to join their expanding cloud practice. This is an excellent opportunity for someone with hands-on GCP experience who is looking to develop their consulting career while working on large-scale cloud and data transformation projects. The Role As a Google Cloud Consultant, you will work closely with clients and internal teams to design and deliver solutions on Google Cloud Platform (GCP) . You will contribute to cloud platform implementations, data solutions, and emerging AI capabilities while supporting senior consultants and architects on customer engagements. This role offers the opportunity to gain exposure to a variety of cloud transformation projects while developing both your technical and consulting skillset . Key Responsibilities Support the design and implementation of cloud solutions on Google Cloud Platform (GCP) Work with clients to understand technical requirements and contribute to solution design Help deliver cloud migration, platform modernisation, and cloud-native solutions Assist with the design and development of data platforms and analytics solutions Contribute to the implementation of AI or machine learning solutions where appropriate Develop and maintain infrastructure using Infrastructure-as-Code tools such as Terraform Support the creation of technical documentation including solution designs and implementation plans Collaborate with architects, engineers, and client stakeholders to ensure successful project delivery Follow best practices around security, governance, and cost optimisation (FinOps) Skills & Experience Essential Experience working with Google Cloud Platform (GCP) in a professional environment Exposure to GCP services such as Compute Engine, Cloud Run, GKE, BigQuery, Cloud Storage, Pub/Sub, or Vertex AI Experience supporting the implementation of cloud infrastructure or data platforms Understanding of Infrastructure-as-Code , ideally using Terraform Strong problem-solving skills and the ability to work collaboratively within project teams Good communication skills and an interest in developing a client-facing consulting career Desirable Experience with data engineering, analytics platforms, or machine learning technologies Exposure to cloud migration or modernisation programmes Knowledge of security or compliance practices within cloud environments Relevant certifications such as Google Associate Cloud Engineer or Professional Cloud Architect What They're Looking For The ideal candidate is someone who enjoys working with modern cloud technologies and wants to build a long-term career in cloud consulting . You'll be curious, technically capable, and comfortable working in collaborative project environments. This is a great opportunity to join a fast-growing consultancy where you will work on cutting-edge cloud, data, and AI projects while continuing to build your technical expertise.
AI Architect Financial Services London Hybrid At Datatech Analytics, we're delighted to partner with a global consulting organisation expanding its AI and Data capability within Financial Services. The firm works with major banks, insurers and capital markets institutions to design and deploy enterprise AI platforms, helping organisations transform how data and AI drive decision making across the business. As demand for AI transformation programmes continues to grow, the business is looking to hire an AI Architect to help shape and deliver complex AI platforms for large financial institutions. The role You will design and architect enterprise AI platforms, translating complex business challenges into scalable AI and data solutions. Working closely with engineering teams and senior stakeholders, you'll help organisations move from experimentation with AI to production-ready AI systems embedded within core business platforms. What you'll be doing Defining enterprise AI architecture strategies for financial services clients. Designing scalable AI platforms and ML infrastructure integrated with enterprise data systems. Architecting end-to-end AI pipelines , from data ingestion through to model deployment. Leading engineering teams across AI, machine learning and data engineering. Engaging senior stakeholders to shape AI transformation programmes and technical strategy. Technology environment Typical platforms and technologies include: Cloud platforms such as AWS, Azure or Google Cloud Data platforms including Databricks, Snowflake or BigQuery Python and modern ML frameworks Generative AI, LLM integration and RAG pipelines MLOps tooling and modern ML lifecycle management. The profile Experience designing enterprise AI or data platforms in complex technology environments. A background delivering large-scale transformation programmes, often within consulting or advisory environments. Strong technical leadership combined with the ability to engage senior stakeholders across business and technology teams. Experience working within Financial Services environments is highly valued. If you'd like to learn more about the opportunity, feel free to reach out for a confidential conversation.APPLY NOW Datatech Analytics
31/03/2026
Full time
AI Architect Financial Services London Hybrid At Datatech Analytics, we're delighted to partner with a global consulting organisation expanding its AI and Data capability within Financial Services. The firm works with major banks, insurers and capital markets institutions to design and deploy enterprise AI platforms, helping organisations transform how data and AI drive decision making across the business. As demand for AI transformation programmes continues to grow, the business is looking to hire an AI Architect to help shape and deliver complex AI platforms for large financial institutions. The role You will design and architect enterprise AI platforms, translating complex business challenges into scalable AI and data solutions. Working closely with engineering teams and senior stakeholders, you'll help organisations move from experimentation with AI to production-ready AI systems embedded within core business platforms. What you'll be doing Defining enterprise AI architecture strategies for financial services clients. Designing scalable AI platforms and ML infrastructure integrated with enterprise data systems. Architecting end-to-end AI pipelines , from data ingestion through to model deployment. Leading engineering teams across AI, machine learning and data engineering. Engaging senior stakeholders to shape AI transformation programmes and technical strategy. Technology environment Typical platforms and technologies include: Cloud platforms such as AWS, Azure or Google Cloud Data platforms including Databricks, Snowflake or BigQuery Python and modern ML frameworks Generative AI, LLM integration and RAG pipelines MLOps tooling and modern ML lifecycle management. The profile Experience designing enterprise AI or data platforms in complex technology environments. A background delivering large-scale transformation programmes, often within consulting or advisory environments. Strong technical leadership combined with the ability to engage senior stakeholders across business and technology teams. Experience working within Financial Services environments is highly valued. If you'd like to learn more about the opportunity, feel free to reach out for a confidential conversation.APPLY NOW Datatech Analytics
Senior Data & Analytics Consultant - Fully Remote - Microsoft partner 60,000 - 70,000 + Bonus and the chance to have shares in the business as they move to an employee owned model. A well established MS partner who are experiencing growth through a very strong project pipeline are looking to add a Senior Data & Analytics Consultant to their team. The Senior Data & Analytics Consultant will play a key role in helping their customers turn data into meaningful insight and measurable impact. In this role, you will design and deliver robust data and analytics solutions that strengthen data foundations, enable AI-driven initiatives, and support better operational and strategic decision-making. You will design and deliver data solutions within the Microsoft ecosystem, including Azure Data Services, Microsoft Dataverse, Power BI, and Dynamics 365 integrations. Main Duties and Responsibilities: Data Strategy & Advisory Data Governance & Quality Data Analytics & Insights Data Management & Warehousing ETL & Data Integration Data Architecture & Engineering Knowledge and Experience 5+ years' strong experience in data analytics, engineering, or business intelligence within a consultancy or technology services environment Proven expertise in data modelling, warehousing, and relational database design Experience designing and delivering cloud-based data solutions, particularly within Microsoft Azure Knowledge of ETL processes and data integration across multiple systems Experience integrating Microsoft technologies (e.g., Dynamics 365, Azure Data Services, Power BI) with third-party platforms Understanding of data governance, security, and compliance principles Hands-on experience with SQL and one or more data programming languages Strong understanding of Microsoft Dataverse data structures and integration patterns Experience delivering complex data projects in customer environments Experience working with and understanding public sector data, security and governance Technical Abilities Proficiency in Microsoft Power BI, SQL, and Azure Data Services Experience with data integration tools, APIs, and middleware Knowledge of ETL tools such as Azure Data Factory, SSIS, or similar Experience with data warehouses, data lakes, and modern data platforms Familiarity with advanced analytics or machine learning concepts Experience with Microsoft Power Platform for process automation Understanding of statistical analysis, reporting, and visualisation techniques This role will be fully remote with the occasional travel to client site. You must be eligible for SC clearance due to the nature of their clients so you will need to be a UK national who includes a minimum of 5 years consecutive UK residency. Please reach out to me on (phone number removed) or (url removed) to find out more about the Senior Data & Analytics Consultant position and get your application moving!
31/03/2026
Full time
Senior Data & Analytics Consultant - Fully Remote - Microsoft partner 60,000 - 70,000 + Bonus and the chance to have shares in the business as they move to an employee owned model. A well established MS partner who are experiencing growth through a very strong project pipeline are looking to add a Senior Data & Analytics Consultant to their team. The Senior Data & Analytics Consultant will play a key role in helping their customers turn data into meaningful insight and measurable impact. In this role, you will design and deliver robust data and analytics solutions that strengthen data foundations, enable AI-driven initiatives, and support better operational and strategic decision-making. You will design and deliver data solutions within the Microsoft ecosystem, including Azure Data Services, Microsoft Dataverse, Power BI, and Dynamics 365 integrations. Main Duties and Responsibilities: Data Strategy & Advisory Data Governance & Quality Data Analytics & Insights Data Management & Warehousing ETL & Data Integration Data Architecture & Engineering Knowledge and Experience 5+ years' strong experience in data analytics, engineering, or business intelligence within a consultancy or technology services environment Proven expertise in data modelling, warehousing, and relational database design Experience designing and delivering cloud-based data solutions, particularly within Microsoft Azure Knowledge of ETL processes and data integration across multiple systems Experience integrating Microsoft technologies (e.g., Dynamics 365, Azure Data Services, Power BI) with third-party platforms Understanding of data governance, security, and compliance principles Hands-on experience with SQL and one or more data programming languages Strong understanding of Microsoft Dataverse data structures and integration patterns Experience delivering complex data projects in customer environments Experience working with and understanding public sector data, security and governance Technical Abilities Proficiency in Microsoft Power BI, SQL, and Azure Data Services Experience with data integration tools, APIs, and middleware Knowledge of ETL tools such as Azure Data Factory, SSIS, or similar Experience with data warehouses, data lakes, and modern data platforms Familiarity with advanced analytics or machine learning concepts Experience with Microsoft Power Platform for process automation Understanding of statistical analysis, reporting, and visualisation techniques This role will be fully remote with the occasional travel to client site. You must be eligible for SC clearance due to the nature of their clients so you will need to be a UK national who includes a minimum of 5 years consecutive UK residency. Please reach out to me on (phone number removed) or (url removed) to find out more about the Senior Data & Analytics Consultant position and get your application moving!
Senior RF Data Scientist / Research Engineer Near Cambridge My client, a fast-growing AI company based near Cambridge, is seeking a Senior RF Data Scientist / Research Engineer to work at the intersection of RF hardware, digital signal processing, and machine learning. This hands-on R&D role involves analysing complex RF datasets, developing advanced signal-processing pipelines, and contributing to cutting-edge UAV/drone detection technologies. You will play a key role in prototyping new sensing capabilities, working with SDRs, designing real-world RF experiments, and integrating machine-learning models into early-stage hardware software systems. This position is ideal for someone who thrives in fast-paced, iterative prototyping environments. Key Responsibilities Analysing raw IQ data from SDR platforms (e.g., bladeRF, USRP) to extract, classify, and interpret RF signal features Building diagnostic RF analysis tools (time frequency plots, cyclic spectra, EVM, autocorrelation, constellation tracking, etc.) Designing RF data-processing pipelines built around practical hardware constraints (bandwidth, ADC limits, gain stages, timing jitter) Modelling RF front-end behaviour (filters, mixers, LOs, AGC, noise figure) to improve signal integrity and inference accuracy Developing ML and statistical models for RF classification, anomaly detection, and emitter identification Prototyping real-time or batch-processing systems in Python (NumPy, SciPy, PyTorch) with potential integration via ZMQ, GNU Radio, or C++ backends Leading RF data collection, field experiments, and over-the-air testing using drones, wireless devices, and custom transmitters Requirements Strong Python proficiency for RF data analysis and prototyping (NumPy, SciPy, matplotlib, scikit-learn, PyTorch) Solid understanding of DSP fundamentals (FFT, filtering, modulation, correlation, noise modelling, resampling) Familiarity with SDR frameworks such as GNU Radio, SDRangel, osmoSDR, or SoapySDR Practical understanding of RF hardware chains (antenna filters mixers ADC) and their impact on baseband data Experience analysing wireless protocols (Wi-Fi, LTE, LoRa, etc.) and physical-layer structures Comfortable debugging SDR setups and performing field-based RF data collection Strong communication skills and ability to work effectively within an iterative R&D team Desirable Hands-on experience with SDRs (bladeRF, HackRF, USRP, PlutoSDR) and RF lab equipment (spectrum analysers, VNAs, signal generators) Experience in passive radar, beamforming, TDoA, Doppler, or direction finding Familiarity with embedded or real-time systems (FPGA pipelines, GPU acceleration, etc.) Programming experience in MATLAB, C++, Rust, or similar languages Knowledge of RF circuit principles (impedance matching, filter design, gain budgeting) Experience designing or testing antenna arrays for sensing/detection Publications, patents, or open-source RF/ML contributions Role Details Location: Cambridge area (onsite or hybrid depending on project needs) Department: Research & Prototyping Team Impact: Direct involvement in early-stage hardware software product development Interested? Please Click Apply Now! Senior RF Data Scientist / Research Engineer Near Cambridge
31/03/2026
Full time
Senior RF Data Scientist / Research Engineer Near Cambridge My client, a fast-growing AI company based near Cambridge, is seeking a Senior RF Data Scientist / Research Engineer to work at the intersection of RF hardware, digital signal processing, and machine learning. This hands-on R&D role involves analysing complex RF datasets, developing advanced signal-processing pipelines, and contributing to cutting-edge UAV/drone detection technologies. You will play a key role in prototyping new sensing capabilities, working with SDRs, designing real-world RF experiments, and integrating machine-learning models into early-stage hardware software systems. This position is ideal for someone who thrives in fast-paced, iterative prototyping environments. Key Responsibilities Analysing raw IQ data from SDR platforms (e.g., bladeRF, USRP) to extract, classify, and interpret RF signal features Building diagnostic RF analysis tools (time frequency plots, cyclic spectra, EVM, autocorrelation, constellation tracking, etc.) Designing RF data-processing pipelines built around practical hardware constraints (bandwidth, ADC limits, gain stages, timing jitter) Modelling RF front-end behaviour (filters, mixers, LOs, AGC, noise figure) to improve signal integrity and inference accuracy Developing ML and statistical models for RF classification, anomaly detection, and emitter identification Prototyping real-time or batch-processing systems in Python (NumPy, SciPy, PyTorch) with potential integration via ZMQ, GNU Radio, or C++ backends Leading RF data collection, field experiments, and over-the-air testing using drones, wireless devices, and custom transmitters Requirements Strong Python proficiency for RF data analysis and prototyping (NumPy, SciPy, matplotlib, scikit-learn, PyTorch) Solid understanding of DSP fundamentals (FFT, filtering, modulation, correlation, noise modelling, resampling) Familiarity with SDR frameworks such as GNU Radio, SDRangel, osmoSDR, or SoapySDR Practical understanding of RF hardware chains (antenna filters mixers ADC) and their impact on baseband data Experience analysing wireless protocols (Wi-Fi, LTE, LoRa, etc.) and physical-layer structures Comfortable debugging SDR setups and performing field-based RF data collection Strong communication skills and ability to work effectively within an iterative R&D team Desirable Hands-on experience with SDRs (bladeRF, HackRF, USRP, PlutoSDR) and RF lab equipment (spectrum analysers, VNAs, signal generators) Experience in passive radar, beamforming, TDoA, Doppler, or direction finding Familiarity with embedded or real-time systems (FPGA pipelines, GPU acceleration, etc.) Programming experience in MATLAB, C++, Rust, or similar languages Knowledge of RF circuit principles (impedance matching, filter design, gain budgeting) Experience designing or testing antenna arrays for sensing/detection Publications, patents, or open-source RF/ML contributions Role Details Location: Cambridge area (onsite or hybrid depending on project needs) Department: Research & Prototyping Team Impact: Direct involvement in early-stage hardware software product development Interested? Please Click Apply Now! Senior RF Data Scientist / Research Engineer Near Cambridge
A Technical Support Engineer is sought to join an established engineering team in Dover, Kent, contributing to the delivery of technical support, troubleshooting, and application expertise across a range of electrical testing and measurement products. The Technical Support Engineer, Dover, Kent, will be expected to develop your understanding in the field, learning from peers and senior engineers in technical areas and industry best practices. This may include supporting low voltage instruments, electrical test equipment, battery systems, and rotating machines, as well as contributing to product development, training, and customer engagement activities. Responsibilities include: Provide expert technical support to customers and distributors via phone, email, and other communication channels. Deliver on-site technical support and assistance when required. Support pre- and post-sales activities, acting as a key technical point of contact. Create technical content including application notes, competitor comparisons, and support materials. Support product development activities, including testing during alpha, beta, and product launch phases. Assist with regression testing and validation of new products. Deliver technical demonstrations at trade shows, exhibitions, and industry events. Maintain and manage demonstration equipment and departmental stock. Input and maintain accurate records within CRM systems. Complete departmental reporting, including visit reports, monthly updates, and expense submissions. Support internal teams including sales, product management, and marketing with technical expertise. Undertake additional duties such as testing services and workshop support as required. Key skills & experience: Strong understanding of electrical installations and testing procedures (e.G., BS7671, BS2391). Hands-on experience as an electrician within commercial or industrial environments. HNC/HND in Electrical Engineering or working towards a degree-level qualification. Strong knowledge of electrical power systems and testing/measurement principles. Proficiency with IT systems including MS Office and CRM platforms. Strong communication and presentation skills with a customer-focused approach. Ability to manage multiple priorities and work independently. Full UK driving licence and willingness to travel within the UK and internationally. How to apply: Apply now for the Technical Support Engineer role in Dover, Kent. Send your CV to (url removed) or call Adam on (phone number removed).
31/03/2026
Full time
A Technical Support Engineer is sought to join an established engineering team in Dover, Kent, contributing to the delivery of technical support, troubleshooting, and application expertise across a range of electrical testing and measurement products. The Technical Support Engineer, Dover, Kent, will be expected to develop your understanding in the field, learning from peers and senior engineers in technical areas and industry best practices. This may include supporting low voltage instruments, electrical test equipment, battery systems, and rotating machines, as well as contributing to product development, training, and customer engagement activities. Responsibilities include: Provide expert technical support to customers and distributors via phone, email, and other communication channels. Deliver on-site technical support and assistance when required. Support pre- and post-sales activities, acting as a key technical point of contact. Create technical content including application notes, competitor comparisons, and support materials. Support product development activities, including testing during alpha, beta, and product launch phases. Assist with regression testing and validation of new products. Deliver technical demonstrations at trade shows, exhibitions, and industry events. Maintain and manage demonstration equipment and departmental stock. Input and maintain accurate records within CRM systems. Complete departmental reporting, including visit reports, monthly updates, and expense submissions. Support internal teams including sales, product management, and marketing with technical expertise. Undertake additional duties such as testing services and workshop support as required. Key skills & experience: Strong understanding of electrical installations and testing procedures (e.G., BS7671, BS2391). Hands-on experience as an electrician within commercial or industrial environments. HNC/HND in Electrical Engineering or working towards a degree-level qualification. Strong knowledge of electrical power systems and testing/measurement principles. Proficiency with IT systems including MS Office and CRM platforms. Strong communication and presentation skills with a customer-focused approach. Ability to manage multiple priorities and work independently. Full UK driving licence and willingness to travel within the UK and internationally. How to apply: Apply now for the Technical Support Engineer role in Dover, Kent. Send your CV to (url removed) or call Adam on (phone number removed).
Senior Data Engineer (Python/PySpark & SQL) London (Hybrid - 3 days in office Monday, Tuesday, Wednesday) Up to 85,000 dependent on experience Ref: J13073 We're working with a fast-growing AI SaaS business where data sits at the core of everything they build. They're looking for a Senior Data Engineer to take ownership of the pipelines that power their platform. You'll be working with real-world, messy data and shaping it into reliable, decision-ready datasets used across product, analytics, and machine learning. Python/PySpark and SQL are central to the role. The Role: You'll design and maintain data pipelines, handle edge cases, and ensure data quality as the platform scales. The environment is modern and cloud-based, using tools such as AWS, GCP or Azure, alongside Spark, Snowflake or BigQuery. You'll also play a key role in supporting and mentoring other engineers through code reviews and collaboration. You'll be joining a supportive team that values different perspectives, encourages thoughtful problem solving, and gives engineers the space to contribute in their own way. What we're looking for: Strong Python and SQL experience in production Experience with Spark, Snowflake, BigQuery or similar Cloud experience (AWS, GCP or Azure) Comfortable working with complex, messy data Experience owning pipelines end-to-end Collaborative mindset with mentoring experience If you enjoy building the data foundations behind AI products, this could be a great fit. Get in touch today to find out more Right to work in the UK required (no sponsorship available) If you have a friend or colleague who may be interested, referrals are welcome. For each successful placement, you will be eligible for our general gift or voucher scheme. Datatech is one of the UK's leading recruitment agencies specialising in analytics and is the host of the critically acclaimed Women in Data event. For more information, visit (url removed) .
31/03/2026
Full time
Senior Data Engineer (Python/PySpark & SQL) London (Hybrid - 3 days in office Monday, Tuesday, Wednesday) Up to 85,000 dependent on experience Ref: J13073 We're working with a fast-growing AI SaaS business where data sits at the core of everything they build. They're looking for a Senior Data Engineer to take ownership of the pipelines that power their platform. You'll be working with real-world, messy data and shaping it into reliable, decision-ready datasets used across product, analytics, and machine learning. Python/PySpark and SQL are central to the role. The Role: You'll design and maintain data pipelines, handle edge cases, and ensure data quality as the platform scales. The environment is modern and cloud-based, using tools such as AWS, GCP or Azure, alongside Spark, Snowflake or BigQuery. You'll also play a key role in supporting and mentoring other engineers through code reviews and collaboration. You'll be joining a supportive team that values different perspectives, encourages thoughtful problem solving, and gives engineers the space to contribute in their own way. What we're looking for: Strong Python and SQL experience in production Experience with Spark, Snowflake, BigQuery or similar Cloud experience (AWS, GCP or Azure) Comfortable working with complex, messy data Experience owning pipelines end-to-end Collaborative mindset with mentoring experience If you enjoy building the data foundations behind AI products, this could be a great fit. Get in touch today to find out more Right to work in the UK required (no sponsorship available) If you have a friend or colleague who may be interested, referrals are welcome. For each successful placement, you will be eligible for our general gift or voucher scheme. Datatech is one of the UK's leading recruitment agencies specialising in analytics and is the host of the critically acclaimed Women in Data event. For more information, visit (url removed) .
Tank have been engaged by a client to recruit a Contract Senior Go / Golang Engineer to support the delivery of advanced, production-grade systems. 12+ Month Contract Hybrid working - London Key Skills: Proven experience building backend or network-facing services using Go Strong Python skills, ideally within machine learning or computer vision environments Familiarity with frameworks such as PyTorch or TensorFlow (or a willingness to learn) Experience with containerisation and orchestration tools such as Docker or Kubernetes Comfortable working in Linux-based environments Solid understanding of version control best practices (e.g. Git) If this opportunity is of interest, please apply or get in touch for more details.
31/03/2026
Contractor
Tank have been engaged by a client to recruit a Contract Senior Go / Golang Engineer to support the delivery of advanced, production-grade systems. 12+ Month Contract Hybrid working - London Key Skills: Proven experience building backend or network-facing services using Go Strong Python skills, ideally within machine learning or computer vision environments Familiarity with frameworks such as PyTorch or TensorFlow (or a willingness to learn) Experience with containerisation and orchestration tools such as Docker or Kubernetes Comfortable working in Linux-based environments Solid understanding of version control best practices (e.g. Git) If this opportunity is of interest, please apply or get in touch for more details.
Location: Bristol (20% onsite) Duration: 6 month contract Rate: 78ph LTD (Outside IR35) Role details: Our client, a leader in the defence and security sector, is seeking a Senior Machine Learning Engineer to join their team on a contract basis. This role involves developing and deploying advanced machine learning models essential for secure, high-integrity systems and services across critical defence, government, and public sector programmes. Key Responsibilities: Design, build, and optimise machine learning models, including NLP, computer vision, and predictive analytics Own the ML lifecycle from data preparation through to training, evaluation, and deployment Implement and maintain MLOps workflows for continuous integration and delivery of ML models Collaborate with Data Engineers and DevOps teams to ensure production readiness and scalability Contribute to architecture decisions for ML pipelines and data flows Apply secure coding and configuration practices in line with compliance standards Mentor junior engineers and share best practices across the team Support innovation by researching emerging ML techniques and tools Job Requirements: Proven experience developing and deploying machine learning models in production environments Experience with the OpenCV framework and object detection models, including YOLO, RCNN, and Vision models Proficiency in optical flow and object tracking for video analysis Solid knowledge of Optical Character Recognition (OCR) models and fine-tuning with custom datasets Understanding of accuracy measurement metrics like Character Error Rate (CER) and Word Error Rate (WER) Proficiency in Python and ML frameworks (e.g., TensorFlow, PyTorch) Understanding of ML architectures, hyperparameter tuning, and performance optimisation Experience with MLOps tools and CI/CD pipelines Familiarity with data engineering concepts (ETL, data pipelines, SQL) Ability to analyse complex data and communicate insights effectively Strong problem-solving skills and attention to detail Excellent collaboration and stakeholder engagement skills Core Areas (Must Have): ML Development Expertise: Hands-on experience building and deploying ML models Lifecycle Ownership: Ability to manage ML workflows from design to production Tool Proficiency: Skilled in Python, ML frameworks, and MLOps tooling Data Engineering Awareness: Understanding of data pipelines, warehousing, and integration Governance & Compliance: Familiarity with secure coding and quality assurance standards Collaboration & Mentoring: Ability to work across teams and support junior engineers Continuous Improvement: Commitment to learning and applying emerging ML techniques Desirable Skills: Experience with cloud platforms (AWS) and containerisation (such as Docker, Podman, Kubernetes) Experience working in secure or regulated environments Exposure to big data technologies (Spark, Hadoop) and Apache tools Familiarity with Agile and DevOps practices Industry certifications (e.g., TensorFlow Developer, AWS Machine Learning Specialty) Knowledge of NLP, computer vision, and deep learning architectures STEM degree or equivalent experience in AI, Data Science, or related fields If you are ready to take ownership of machine learning solutions that underpin secure, high-integrity systems and services, and lead in solving customer problems in an agile, innovative, and team-centric manner, we would love to hear from you. Apply now to join our client's Cyber & Security Solutions Division team in Bristol.
31/03/2026
Contractor
Location: Bristol (20% onsite) Duration: 6 month contract Rate: 78ph LTD (Outside IR35) Role details: Our client, a leader in the defence and security sector, is seeking a Senior Machine Learning Engineer to join their team on a contract basis. This role involves developing and deploying advanced machine learning models essential for secure, high-integrity systems and services across critical defence, government, and public sector programmes. Key Responsibilities: Design, build, and optimise machine learning models, including NLP, computer vision, and predictive analytics Own the ML lifecycle from data preparation through to training, evaluation, and deployment Implement and maintain MLOps workflows for continuous integration and delivery of ML models Collaborate with Data Engineers and DevOps teams to ensure production readiness and scalability Contribute to architecture decisions for ML pipelines and data flows Apply secure coding and configuration practices in line with compliance standards Mentor junior engineers and share best practices across the team Support innovation by researching emerging ML techniques and tools Job Requirements: Proven experience developing and deploying machine learning models in production environments Experience with the OpenCV framework and object detection models, including YOLO, RCNN, and Vision models Proficiency in optical flow and object tracking for video analysis Solid knowledge of Optical Character Recognition (OCR) models and fine-tuning with custom datasets Understanding of accuracy measurement metrics like Character Error Rate (CER) and Word Error Rate (WER) Proficiency in Python and ML frameworks (e.g., TensorFlow, PyTorch) Understanding of ML architectures, hyperparameter tuning, and performance optimisation Experience with MLOps tools and CI/CD pipelines Familiarity with data engineering concepts (ETL, data pipelines, SQL) Ability to analyse complex data and communicate insights effectively Strong problem-solving skills and attention to detail Excellent collaboration and stakeholder engagement skills Core Areas (Must Have): ML Development Expertise: Hands-on experience building and deploying ML models Lifecycle Ownership: Ability to manage ML workflows from design to production Tool Proficiency: Skilled in Python, ML frameworks, and MLOps tooling Data Engineering Awareness: Understanding of data pipelines, warehousing, and integration Governance & Compliance: Familiarity with secure coding and quality assurance standards Collaboration & Mentoring: Ability to work across teams and support junior engineers Continuous Improvement: Commitment to learning and applying emerging ML techniques Desirable Skills: Experience with cloud platforms (AWS) and containerisation (such as Docker, Podman, Kubernetes) Experience working in secure or regulated environments Exposure to big data technologies (Spark, Hadoop) and Apache tools Familiarity with Agile and DevOps practices Industry certifications (e.g., TensorFlow Developer, AWS Machine Learning Specialty) Knowledge of NLP, computer vision, and deep learning architectures STEM degree or equivalent experience in AI, Data Science, or related fields If you are ready to take ownership of machine learning solutions that underpin secure, high-integrity systems and services, and lead in solving customer problems in an agile, innovative, and team-centric manner, we would love to hear from you. Apply now to join our client's Cyber & Security Solutions Division team in Bristol.
Location: Bristol or Southampton (20% onsite) Duration: 6 month contract Rate: 61.90ph LTD (Outside IR35) Role details: Our client, a prominent player in the Defence & Security sector, is seeking a Senior Software Engineer with expertise in Python, Docker, and Cyber Security for a 6-month contract based in Bristol or Southampton. The role involves a hybrid working model with approximately 20% onsite presence. Key Responsibilities: Take ownership of specific software work packages, including low-level planning, delivery, and reporting, with the ability to work independently and autonomously. Possess a strong understanding of microservice software architecture. Design, implement, document, and test software modules and components. Peer review code, application design, and test results to ensure compliance with standards and governance. Troubleshoot complex issues and provide technical guidance to engineers. Mentor and support junior developers, sharing knowledge and best practices. Contribute to design reviews, risk assessments, and stakeholder reporting. Build production-grade software components with integration into wider systems in mind, collaborating with systems, test, and DevOps teams. Suggest and drive improvements in development processes, tools, and practices. Clearly communicate updates, risks, and review points upwards. Job Requirements: Strong technical ability with proven experience in delivering software components and modules. Ability to work confidently, strategically, and autonomously. Balance hands-on coding with document writing and planning session participation. Core Areas (Must Have): Proficiency in Python (including pytest), git, Docker, and AWS with prior experience building full-stack Flask applications. Experience designing, implementing, and testing software components. Knowledge of secure coding practices and cyber security considerations. Familiarity with version control and configuration management (Git, AWS). Experience integrating software within larger systems and platforms. Understanding of Agile delivery methods. Desirable Skills: Experience or knowledge in CI/CD pipelines and build tools (GitLab CI, Jenkins, AWS). Understanding and awareness of Machine Learning pipelines. Familiarity with containerisation and cloud platforms (Docker, Kubernetes, AWS, Azure). Exposure to additional automated testing frameworks (Selenium, JUnit, NUnit). ISTQB Foundation/Advanced or equivalent testing knowledge. Experience mentoring early-career engineers. Awareness of model-based engineering or architecture tools (UML, SysML). If you are a skilled Senior Software Engineer with experience in Python, Docker, and Cyber Security, we would love to hear from you. Apply now to join our client's dynamic and innovative team in the Defence & Security sector.
31/03/2026
Contractor
Location: Bristol or Southampton (20% onsite) Duration: 6 month contract Rate: 61.90ph LTD (Outside IR35) Role details: Our client, a prominent player in the Defence & Security sector, is seeking a Senior Software Engineer with expertise in Python, Docker, and Cyber Security for a 6-month contract based in Bristol or Southampton. The role involves a hybrid working model with approximately 20% onsite presence. Key Responsibilities: Take ownership of specific software work packages, including low-level planning, delivery, and reporting, with the ability to work independently and autonomously. Possess a strong understanding of microservice software architecture. Design, implement, document, and test software modules and components. Peer review code, application design, and test results to ensure compliance with standards and governance. Troubleshoot complex issues and provide technical guidance to engineers. Mentor and support junior developers, sharing knowledge and best practices. Contribute to design reviews, risk assessments, and stakeholder reporting. Build production-grade software components with integration into wider systems in mind, collaborating with systems, test, and DevOps teams. Suggest and drive improvements in development processes, tools, and practices. Clearly communicate updates, risks, and review points upwards. Job Requirements: Strong technical ability with proven experience in delivering software components and modules. Ability to work confidently, strategically, and autonomously. Balance hands-on coding with document writing and planning session participation. Core Areas (Must Have): Proficiency in Python (including pytest), git, Docker, and AWS with prior experience building full-stack Flask applications. Experience designing, implementing, and testing software components. Knowledge of secure coding practices and cyber security considerations. Familiarity with version control and configuration management (Git, AWS). Experience integrating software within larger systems and platforms. Understanding of Agile delivery methods. Desirable Skills: Experience or knowledge in CI/CD pipelines and build tools (GitLab CI, Jenkins, AWS). Understanding and awareness of Machine Learning pipelines. Familiarity with containerisation and cloud platforms (Docker, Kubernetes, AWS, Azure). Exposure to additional automated testing frameworks (Selenium, JUnit, NUnit). ISTQB Foundation/Advanced or equivalent testing knowledge. Experience mentoring early-career engineers. Awareness of model-based engineering or architecture tools (UML, SysML). If you are a skilled Senior Software Engineer with experience in Python, Docker, and Cyber Security, we would love to hear from you. Apply now to join our client's dynamic and innovative team in the Defence & Security sector.
Senior Machine Learning Engineer 6 month contract Based in Bristol Offering circa 75ph Outside IR35 Do you have experience designing, building, and optimising ML models? Do you have experience in Python and ML frameworks? Do you want to work with an industry-leading company? If your answer to these is yes, then this could be the role for you! As the Senior Machine Learning Engineer, you will be working alongside a market-leading Defence and Aerospace company who are constantly growing and developing. They are always looking to bring on new talents such as yourself and further develop your skills to enable you to grow within the company and industry. Do you the nature of the work you will be invoved in, you will be required to go through MOD SC clearance. You will be involved in: Design, build, and optimise machine learning models, including NLP, computer vision, and predictive analytics Own the ML lifecycle from data preparation through training, evaluation, and deployment Implement and maintain MLOps workflows for continuous integration and delivery of ML models Collaborate with Data Engineers and DevOps teams to ensure production readiness and scalability Contribute to architecture decisions for ML pipelines and data flows Apply secure coding and configuration practices in line with compliance standards Mentor junior engineers and share best practices across the team Support innovation by researching emerging ML techniques and tools Your skillset may include: ML Development Expertise: Hands-on experience building and deploying ML models Lifecycle Ownership: Ability to manage ML workflows from design to production Tool Proficiency: Skilled in Python, ML frameworks, and MLOps tooling Data Engineering Awareness: Understanding of data pipelines, warehousing, and integration Governance & Compliance: Familiarity with secure coding and quality assurance standards Collaboration & Mentoring: Ability to work across teams and support junior engineers Continuous Improvement: Commitment to learning and applying emerging ML techniques If this all sounds like something you will be interested in then simply apply and we can discuss the opportunity further! Senior Machine Learning Engineer 6 month contract Based in Bristol Offering circa 75ph Outside IR35 Disclaimer: This vacancy is being advertised by either Advanced Resource Managers Limited, Advanced Resource Managers IT Limited or Advanced Resource Managers Engineering Limited ("ARM"). ARM is a specialist talent acquisition and management consultancy. We provide technical contingency recruitment and a portfolio of more complex resource solutions. Our specialist recruitment divisions cover the entire technical arena, including some of the most economically and strategically important industries in the UK and the world today. We will never send your CV without your permission. Where the role is marked as Outside IR35 in the advertisement this is subject to receipt of a final Status Determination Statement from the end Client and may be subject to change.
31/03/2026
Contractor
Senior Machine Learning Engineer 6 month contract Based in Bristol Offering circa 75ph Outside IR35 Do you have experience designing, building, and optimising ML models? Do you have experience in Python and ML frameworks? Do you want to work with an industry-leading company? If your answer to these is yes, then this could be the role for you! As the Senior Machine Learning Engineer, you will be working alongside a market-leading Defence and Aerospace company who are constantly growing and developing. They are always looking to bring on new talents such as yourself and further develop your skills to enable you to grow within the company and industry. Do you the nature of the work you will be invoved in, you will be required to go through MOD SC clearance. You will be involved in: Design, build, and optimise machine learning models, including NLP, computer vision, and predictive analytics Own the ML lifecycle from data preparation through training, evaluation, and deployment Implement and maintain MLOps workflows for continuous integration and delivery of ML models Collaborate with Data Engineers and DevOps teams to ensure production readiness and scalability Contribute to architecture decisions for ML pipelines and data flows Apply secure coding and configuration practices in line with compliance standards Mentor junior engineers and share best practices across the team Support innovation by researching emerging ML techniques and tools Your skillset may include: ML Development Expertise: Hands-on experience building and deploying ML models Lifecycle Ownership: Ability to manage ML workflows from design to production Tool Proficiency: Skilled in Python, ML frameworks, and MLOps tooling Data Engineering Awareness: Understanding of data pipelines, warehousing, and integration Governance & Compliance: Familiarity with secure coding and quality assurance standards Collaboration & Mentoring: Ability to work across teams and support junior engineers Continuous Improvement: Commitment to learning and applying emerging ML techniques If this all sounds like something you will be interested in then simply apply and we can discuss the opportunity further! Senior Machine Learning Engineer 6 month contract Based in Bristol Offering circa 75ph Outside IR35 Disclaimer: This vacancy is being advertised by either Advanced Resource Managers Limited, Advanced Resource Managers IT Limited or Advanced Resource Managers Engineering Limited ("ARM"). ARM is a specialist talent acquisition and management consultancy. We provide technical contingency recruitment and a portfolio of more complex resource solutions. Our specialist recruitment divisions cover the entire technical arena, including some of the most economically and strategically important industries in the UK and the world today. We will never send your CV without your permission. Where the role is marked as Outside IR35 in the advertisement this is subject to receipt of a final Status Determination Statement from the end Client and may be subject to change.
CBSbutler Holdings Limited trading as CBSbutler
Nursling, Hampshire
Senior Software Engineer Rate: 450 a day IR 35 Determination: Outside IR35 Location: Southampton Working Pattern: 20% onsite Clearance: SC Clearance required Stack overview: Python (including pytest), git, Docker and AWS with prior experience building full stack Flask You will join a global defence technology consultancy and take ownership of specific software work packages, including low level planning, delivery, and reporting, with ability to work independently and autonomously. You will have strong understanding of microservice software architecture, and design, implement, document and test software modules and components. What you'll bring Strong technical ability with proven experience delivering software components and modules. Ability to work confidently, strategically and autonomously Ability to balance hands-on coding with document writing and planning session participation Your skills and experience: Proficiency in Python (including pytest), git, Docker and AWS with prior experience building full stack Flask applications Experience designing, implementing, and testing software components Knowledge of secure coding practices and cyber security considerations Familiarity with version control and configuration management (Git, AWS) Experience integrating software within larger systems and platforms Understanding of Agile delivery methods Desirable: Experience or knowledge CI/CD pipelines and build tools (GitLab CI, Jenkins, AWS) Understanding and awareness of Machine Learning pipelines Familiarity with containerisation and cloud platforms (Docker, Kubernetes, AWS, Azure) Exposure to additional automated testing frameworks (Selenium, Junit, NUnit) ISTQB Foundation/Advanced or equivalent testing knowledge Experience mentoring early-career engineers Awareness of model-based engineering or architecture tools (UML, SysML)
31/03/2026
Contractor
Senior Software Engineer Rate: 450 a day IR 35 Determination: Outside IR35 Location: Southampton Working Pattern: 20% onsite Clearance: SC Clearance required Stack overview: Python (including pytest), git, Docker and AWS with prior experience building full stack Flask You will join a global defence technology consultancy and take ownership of specific software work packages, including low level planning, delivery, and reporting, with ability to work independently and autonomously. You will have strong understanding of microservice software architecture, and design, implement, document and test software modules and components. What you'll bring Strong technical ability with proven experience delivering software components and modules. Ability to work confidently, strategically and autonomously Ability to balance hands-on coding with document writing and planning session participation Your skills and experience: Proficiency in Python (including pytest), git, Docker and AWS with prior experience building full stack Flask applications Experience designing, implementing, and testing software components Knowledge of secure coding practices and cyber security considerations Familiarity with version control and configuration management (Git, AWS) Experience integrating software within larger systems and platforms Understanding of Agile delivery methods Desirable: Experience or knowledge CI/CD pipelines and build tools (GitLab CI, Jenkins, AWS) Understanding and awareness of Machine Learning pipelines Familiarity with containerisation and cloud platforms (Docker, Kubernetes, AWS, Azure) Exposure to additional automated testing frameworks (Selenium, Junit, NUnit) ISTQB Foundation/Advanced or equivalent testing knowledge Experience mentoring early-career engineers Awareness of model-based engineering or architecture tools (UML, SysML)
CBSbutler Holdings Limited trading as CBSbutler
Westbury-on-trym, Bristol
Senior Software Engineer Rate: 450 a day IR 35 Determination: Outside IR35 Location: Bristol Working Pattern: 20% onsite Clearance: SC Clearance required Stack overview: Python (including pytest), git, Docker and AWS with prior experience building full stack Flask You will join a global defence technology consultancy and take ownership of specific software work packages, including low level planning, delivery, and reporting, with ability to work independently and autonomously. You will have strong understanding of microservice software architecture, and design, implement, document and test software modules and components. What you'll bring Strong technical ability with proven experience delivering software components and modules. Ability to work confidently, strategically and autonomously Ability to balance hands-on coding with document writing and planning session participation Your skills and experience: Proficiency in Python (including pytest), git, Docker and AWS with prior experience building full stack Flask applications Experience designing, implementing, and testing software components Knowledge of secure coding practices and cyber security considerations Familiarity with version control and configuration management (Git, AWS) Experience integrating software within larger systems and platforms Understanding of Agile delivery methods Desirable: Experience or knowledge CI/CD pipelines and build tools (GitLab CI, Jenkins, AWS) Understanding and awareness of Machine Learning pipelines Familiarity with containerisation and cloud platforms (Docker, Kubernetes, AWS, Azure) Exposure to additional automated testing frameworks (Selenium, Junit, NUnit) ISTQB Foundation/Advanced or equivalent testing knowledge Experience mentoring early-career engineers Awareness of model-based engineering or architecture tools (UML, SysML)
31/03/2026
Contractor
Senior Software Engineer Rate: 450 a day IR 35 Determination: Outside IR35 Location: Bristol Working Pattern: 20% onsite Clearance: SC Clearance required Stack overview: Python (including pytest), git, Docker and AWS with prior experience building full stack Flask You will join a global defence technology consultancy and take ownership of specific software work packages, including low level planning, delivery, and reporting, with ability to work independently and autonomously. You will have strong understanding of microservice software architecture, and design, implement, document and test software modules and components. What you'll bring Strong technical ability with proven experience delivering software components and modules. Ability to work confidently, strategically and autonomously Ability to balance hands-on coding with document writing and planning session participation Your skills and experience: Proficiency in Python (including pytest), git, Docker and AWS with prior experience building full stack Flask applications Experience designing, implementing, and testing software components Knowledge of secure coding practices and cyber security considerations Familiarity with version control and configuration management (Git, AWS) Experience integrating software within larger systems and platforms Understanding of Agile delivery methods Desirable: Experience or knowledge CI/CD pipelines and build tools (GitLab CI, Jenkins, AWS) Understanding and awareness of Machine Learning pipelines Familiarity with containerisation and cloud platforms (Docker, Kubernetes, AWS, Azure) Exposure to additional automated testing frameworks (Selenium, Junit, NUnit) ISTQB Foundation/Advanced or equivalent testing knowledge Experience mentoring early-career engineers Awareness of model-based engineering or architecture tools (UML, SysML)
SF Technology are supporting a high-growth, digitally led UK business looking to appoint an AI Evangelist to lead the next phase of its technology and AI capability. This is a leadership role where you will define and deliver the organisation's AI and engineering strategy, while remaining close enough to the technology to guide architecture, development standards and infrastructure decisions. You will lead a capable in-house engineering team responsible for the platforms, data pipelines and infrastructure that power a high-volume digital environment. Alongside this, you will drive the adoption of AI, machine learning and advanced data capabilities across core commercial and operational functions. The role sits within the leadership team and will play a key part in shaping the company's wider digital, product and innovation strategy. Key responsibilities - Define and deliver a scalable AI and technology roadmap aligned to business growth - Lead, mentor and grow a high-performing engineering and data team - Oversee platform architecture, infrastructure, security and operational resilience - Drive the development and deployment of AI and machine learning models into live business workflows - Ensure engineering best practice across software development, testing and deployment - Translate commercial objectives into robust, scalable technical solutions - Work closely with senior leadership to influence digital strategy, investment and innovation Experience required - Proven experience operating in an Engineering, AI related role - you will have managed and led small teams - Strong software engineering background, ideally with hands-on experience in Python-based development environments - Experience building and scaling data platforms, machine learning pipelines or AI-driven applications - Demonstrable experience deploying AI models into production environments rather than purely experimental use cases - Experience leading engineering teams responsible for high availability platforms, APIs and complex backend systems - Strong understanding of cloud or hybrid infrastructure, containerisation and scalable architecture patterns - Experience embedding data, analytics and AI into real commercial decision making (pricing, automation, optimisation, fraud detection, personalisation etc.) - Ability to operate at both strategic and technical depth, influencing senior stakeholders while maintaining engineering credibility - Experience leading engineering teams, and be able to effectively challenge Developers This is an opportunity to shape and scale an AI-driven engineering capability within a highly successful digital business, with real influence over technology direction and innovation. Birmingham (office based, 4 days a week onsite)
31/03/2026
Full time
SF Technology are supporting a high-growth, digitally led UK business looking to appoint an AI Evangelist to lead the next phase of its technology and AI capability. This is a leadership role where you will define and deliver the organisation's AI and engineering strategy, while remaining close enough to the technology to guide architecture, development standards and infrastructure decisions. You will lead a capable in-house engineering team responsible for the platforms, data pipelines and infrastructure that power a high-volume digital environment. Alongside this, you will drive the adoption of AI, machine learning and advanced data capabilities across core commercial and operational functions. The role sits within the leadership team and will play a key part in shaping the company's wider digital, product and innovation strategy. Key responsibilities - Define and deliver a scalable AI and technology roadmap aligned to business growth - Lead, mentor and grow a high-performing engineering and data team - Oversee platform architecture, infrastructure, security and operational resilience - Drive the development and deployment of AI and machine learning models into live business workflows - Ensure engineering best practice across software development, testing and deployment - Translate commercial objectives into robust, scalable technical solutions - Work closely with senior leadership to influence digital strategy, investment and innovation Experience required - Proven experience operating in an Engineering, AI related role - you will have managed and led small teams - Strong software engineering background, ideally with hands-on experience in Python-based development environments - Experience building and scaling data platforms, machine learning pipelines or AI-driven applications - Demonstrable experience deploying AI models into production environments rather than purely experimental use cases - Experience leading engineering teams responsible for high availability platforms, APIs and complex backend systems - Strong understanding of cloud or hybrid infrastructure, containerisation and scalable architecture patterns - Experience embedding data, analytics and AI into real commercial decision making (pricing, automation, optimisation, fraud detection, personalisation etc.) - Ability to operate at both strategic and technical depth, influencing senior stakeholders while maintaining engineering credibility - Experience leading engineering teams, and be able to effectively challenge Developers This is an opportunity to shape and scale an AI-driven engineering capability within a highly successful digital business, with real influence over technology direction and innovation. Birmingham (office based, 4 days a week onsite)
Innovative Technology start-up in the Sustainability sector seeks an open-minded Linux Systems Administrator / Linux Infrastructure Engineer to maintain internal systems and provide a compute platform to operate their simulation, optimization and AI technology at scale. You ll also have the opportunity to support some exciting research. You should have strong Linux server management experience, ideally across bare metal and Cloud servers, have experience of HPC Cluster environments and be familiar with infrastructure of code. Hybrid working and a generous salary package is on offer including 30 days holiday and Share options. Working with engineers to deliver hosted tools to deliver results more effectively, the successful Linux Systems Administrator / Linux Infrastructure Engineer will have significant influence on the choice of deployment technology for the backends. Your responsibilities will include Compliance and security of IT systems, installing server hardware, supporting HPC / machine learning workloads behind APIs as well as maintaining internal compute systems. Previous experience of working within an AI orientated company is highly beneficial. Your knowledge and skills should include: Proven Linux Server Management experience (they use Ubuntu). Experience across Bare metal and cloud Servers. Container based deployment such as Kubernetes, Podman or Docker. Python scripting for automation. Server networking, VLANs, DNS, firewalls. Experience with operating distributed computing or HPC cluster environments. VPNs ( company uses Wireguard). Large data storage. Competence in hardware diagnostics and component replacement. Windows and Entra, support of macOS. Flexible approach with a willingness to undertake some help desk duties. If you are a highly experienced Linux Systems Administrator / Linux Infrastructure Engineer and have an interest with physics based simulation and are keen to support ML / AI systems, this is a great opportunity to be part of a thriving Company where technology meets sustainability.
31/03/2026
Full time
Innovative Technology start-up in the Sustainability sector seeks an open-minded Linux Systems Administrator / Linux Infrastructure Engineer to maintain internal systems and provide a compute platform to operate their simulation, optimization and AI technology at scale. You ll also have the opportunity to support some exciting research. You should have strong Linux server management experience, ideally across bare metal and Cloud servers, have experience of HPC Cluster environments and be familiar with infrastructure of code. Hybrid working and a generous salary package is on offer including 30 days holiday and Share options. Working with engineers to deliver hosted tools to deliver results more effectively, the successful Linux Systems Administrator / Linux Infrastructure Engineer will have significant influence on the choice of deployment technology for the backends. Your responsibilities will include Compliance and security of IT systems, installing server hardware, supporting HPC / machine learning workloads behind APIs as well as maintaining internal compute systems. Previous experience of working within an AI orientated company is highly beneficial. Your knowledge and skills should include: Proven Linux Server Management experience (they use Ubuntu). Experience across Bare metal and cloud Servers. Container based deployment such as Kubernetes, Podman or Docker. Python scripting for automation. Server networking, VLANs, DNS, firewalls. Experience with operating distributed computing or HPC cluster environments. VPNs ( company uses Wireguard). Large data storage. Competence in hardware diagnostics and component replacement. Windows and Entra, support of macOS. Flexible approach with a willingness to undertake some help desk duties. If you are a highly experienced Linux Systems Administrator / Linux Infrastructure Engineer and have an interest with physics based simulation and are keen to support ML / AI systems, this is a great opportunity to be part of a thriving Company where technology meets sustainability.
We are hiring a Senior Artificial Intelligence (AI) Governance Specialist /Lead, London-hybrid for 6 months initially. MARKET RATE Inside IR35 Essential Experience applying AI governance, model risk or responsible AI controls within technology or data-driven programmes. Experience operating within regulated or compliance-sensitive environments. Working knowledge of machine learning pipelines, data governance practices and model monitoring concepts. Experience translating regulatory, policy or risk requirements into practical controls within AI or digital solutions. Ability to engage and influence technical and non-technical stakeholders within cross-functional delivery teams. Desirable Experience developing governance frameworks for emerging technologies such as advanced machine learning or agentic automation systems. Experience operating within multi-supplier or multi-organisation delivery environments. Familiarity with rail industry risk, assurance or safety governance processes. Exposure to model monitoring, lifecycle management or Machine Learning Operations practices Responsible AI governance across the by defining and embedding risk management, assurance and compliance controls to support the safe, ethical and regulatory-aligned deployment of AI and automation solutions. Define and embed AI governance principles, risk controls and assurance frameworks across the programme to support consistent and responsible AI deployment Review and challenge AI and automation solutions against regulatory expectations, including data privacy, security, explainability, bias mitigation and safe operation Identify, assess and manage risks specific to AI systems, including model reliability, agentic behaviour constraints, data usage and ethical considerations. Direct the development and maintenance of comprehensive governance artefacts including model risk assessments, data handling controls, audit mechanisms, monitoring frameworks and exception management processes. Shape governance approaches for machine learning and agentic automation systems to support responsible experimentation and controlled deployment. Work in close partnership and collaborate with the AI Solutions Architect, Data Scientists and Engineers to embed governance controls throughout the solution lifecycle. Translate policy, regulatory and risk requirements into practical technical controls and guardrails within AI solution designs. Define and oversee performance metrics, key risk indicators and monitoring approaches to identify model drift, governance breaches and emerging risk patterns.
30/03/2026
Contractor
We are hiring a Senior Artificial Intelligence (AI) Governance Specialist /Lead, London-hybrid for 6 months initially. MARKET RATE Inside IR35 Essential Experience applying AI governance, model risk or responsible AI controls within technology or data-driven programmes. Experience operating within regulated or compliance-sensitive environments. Working knowledge of machine learning pipelines, data governance practices and model monitoring concepts. Experience translating regulatory, policy or risk requirements into practical controls within AI or digital solutions. Ability to engage and influence technical and non-technical stakeholders within cross-functional delivery teams. Desirable Experience developing governance frameworks for emerging technologies such as advanced machine learning or agentic automation systems. Experience operating within multi-supplier or multi-organisation delivery environments. Familiarity with rail industry risk, assurance or safety governance processes. Exposure to model monitoring, lifecycle management or Machine Learning Operations practices Responsible AI governance across the by defining and embedding risk management, assurance and compliance controls to support the safe, ethical and regulatory-aligned deployment of AI and automation solutions. Define and embed AI governance principles, risk controls and assurance frameworks across the programme to support consistent and responsible AI deployment Review and challenge AI and automation solutions against regulatory expectations, including data privacy, security, explainability, bias mitigation and safe operation Identify, assess and manage risks specific to AI systems, including model reliability, agentic behaviour constraints, data usage and ethical considerations. Direct the development and maintenance of comprehensive governance artefacts including model risk assessments, data handling controls, audit mechanisms, monitoring frameworks and exception management processes. Shape governance approaches for machine learning and agentic automation systems to support responsible experimentation and controlled deployment. Work in close partnership and collaborate with the AI Solutions Architect, Data Scientists and Engineers to embed governance controls throughout the solution lifecycle. Translate policy, regulatory and risk requirements into practical technical controls and guardrails within AI solution designs. Define and oversee performance metrics, key risk indicators and monitoring approaches to identify model drift, governance breaches and emerging risk patterns.
