Reed Technology
Newcastle Upon Tyne, Tyne And Wear
Join a fast-growing technology and engineering organisation that is on a mission to become the best engineering consultancy in the UK. We are looking for a Data Engineer who is passionate about technology, eager to develop their coding skills, and ready to make a significant impact in a collaborative and innovative environment. Due to the security cleared nature of this role, we can not accept applicants who don't possess indefinite leave to remain or are a UK resident. If you require sponsorship, then your application will not be considered. Data Engineer Annual Salary: 40,000 - 55,000 Location: UK (Flexible Hybrid Working) Job Type: Permanent Day-to-day of the role: Work on diverse client projects including building modern data platforms and services using DevOps practices. Engage in large, distributed workloads, batch and streaming data pipelines, and high-quality monitoring. Collaborate with architects, technology consultants, and client stakeholders to help customers leverage their data effectively. Gain exposure to different industries and networks while working with the latest technologies. Spend time on internal projects, training, and development to expand expertise and contribute to business-critical client projects. Required Skills & Qualifications: Demonstrable experience in building data pipelines using Spark or Pandas. Experience with major cloud providers (AWS, Azure, or Google). Familiarity with big data platforms (EMR, Databricks, or DataProc). Knowledge of data platforms such as Data Lakes, Data Warehouses, or Data Meshes. Drive for self-improvement and eagerness to learn new programming languages. Ability to solve problems pragmatically and support and operate production systems. Desirable Skills: Experience in building automated data quality checks and metrics. Experience in creating or maintaining production software delivery pipelines using common CI/CD tools (GitHub Actions, Azure DevOps, Jenkins, CircleCI, etc.). Experience in productionising machine learning algorithms. Familiarity with Infrastructure as Code (Terraform, CloudFormation, ARM templates, etc.). Experience with data reporting and visualisation tools (Power BI, Tableau, Qlik, etc.). Benefits: Competitive salary and comprehensive benefits plan. Flexible hybrid working model (3 days per week onsite). Opportunities for personal and professional growth in an entrepreneurial environment. Supportive transition back into your career for those returning from a career break. To apply for this Data Engineer position, please submit your CV and cover letter detailing your relevant experience and why you are interested in joining our team.
10/12/2025
Full time
Join a fast-growing technology and engineering organisation that is on a mission to become the best engineering consultancy in the UK. We are looking for a Data Engineer who is passionate about technology, eager to develop their coding skills, and ready to make a significant impact in a collaborative and innovative environment. Due to the security cleared nature of this role, we can not accept applicants who don't possess indefinite leave to remain or are a UK resident. If you require sponsorship, then your application will not be considered. Data Engineer Annual Salary: 40,000 - 55,000 Location: UK (Flexible Hybrid Working) Job Type: Permanent Day-to-day of the role: Work on diverse client projects including building modern data platforms and services using DevOps practices. Engage in large, distributed workloads, batch and streaming data pipelines, and high-quality monitoring. Collaborate with architects, technology consultants, and client stakeholders to help customers leverage their data effectively. Gain exposure to different industries and networks while working with the latest technologies. Spend time on internal projects, training, and development to expand expertise and contribute to business-critical client projects. Required Skills & Qualifications: Demonstrable experience in building data pipelines using Spark or Pandas. Experience with major cloud providers (AWS, Azure, or Google). Familiarity with big data platforms (EMR, Databricks, or DataProc). Knowledge of data platforms such as Data Lakes, Data Warehouses, or Data Meshes. Drive for self-improvement and eagerness to learn new programming languages. Ability to solve problems pragmatically and support and operate production systems. Desirable Skills: Experience in building automated data quality checks and metrics. Experience in creating or maintaining production software delivery pipelines using common CI/CD tools (GitHub Actions, Azure DevOps, Jenkins, CircleCI, etc.). Experience in productionising machine learning algorithms. Familiarity with Infrastructure as Code (Terraform, CloudFormation, ARM templates, etc.). Experience with data reporting and visualisation tools (Power BI, Tableau, Qlik, etc.). Benefits: Competitive salary and comprehensive benefits plan. Flexible hybrid working model (3 days per week onsite). Opportunities for personal and professional growth in an entrepreneurial environment. Supportive transition back into your career for those returning from a career break. To apply for this Data Engineer position, please submit your CV and cover letter detailing your relevant experience and why you are interested in joining our team.
Product Data Analyst Salary: 65,000 - 75,000 Location: Fully Remote We are currently looking for an Product Data Analyst to join a fast-growing , innovative , and data-driven tech team within a global cybersecurity education company. You'll play a pivotal role in shaping data strategy and delivering insights that drive smarter decisions across the business. As an Product Data Analyst, you'll own the full data journey, from managing pipelines and creating models to developing visualisations that help teams understand user behaviour and business performance. This is a high-impact role, giving you the chance to transform complex data into meaningful stories that influence strategy and product direction. The Opportunity As part of a rapidly scaling technology company, you'll work with modern data tools to deliver real-time insights and automation. This Product Data Analyst role stands out because you'll have genuine ownership of analytics and visibility across the organisation, not just building dashboards, but defining how data drives growth. Key Responsibilities: Design, build, and maintain data models and pipelines. Create engaging dashboards and visualisations to present findings to non-technical audiences. Collaborate with stakeholders to translate business needs into data-driven outcomes. Use analytics to uncover trends, opportunities, and risks that shape company strategy. Champion data best practices and innovation within the wider team. What's in it for you? Competitive salary (based on geography and experience). Fully remote working - work from anywhere in the world. 2,500 personal development budget for certifications, training, and learning. Health insurance (where applicable). Skills and Experience Must Have: 2+ years' experience as a Data Analyst, Data Engineer, or Analytics Engineer. dbt Advanced SQL skills and experience with data visualisation tools (Tableau preferred). Knowledge of data modelling, warehousing, and analytics best practices. Strong communication skills with the ability to explain technical findings clearly. Nice to Have: Exposure to event-based analytics and user behaviour tracking. Understanding of machine learning models and techniques. Experience in a start-up or fast-scaling tech environment. If you'd like to be considered for this exciting Product Data Analyst opportunity and think you'd be a great fit, please click the Apply button below to submit your CV. We look forward to hearing from you!
10/12/2025
Full time
Product Data Analyst Salary: 65,000 - 75,000 Location: Fully Remote We are currently looking for an Product Data Analyst to join a fast-growing , innovative , and data-driven tech team within a global cybersecurity education company. You'll play a pivotal role in shaping data strategy and delivering insights that drive smarter decisions across the business. As an Product Data Analyst, you'll own the full data journey, from managing pipelines and creating models to developing visualisations that help teams understand user behaviour and business performance. This is a high-impact role, giving you the chance to transform complex data into meaningful stories that influence strategy and product direction. The Opportunity As part of a rapidly scaling technology company, you'll work with modern data tools to deliver real-time insights and automation. This Product Data Analyst role stands out because you'll have genuine ownership of analytics and visibility across the organisation, not just building dashboards, but defining how data drives growth. Key Responsibilities: Design, build, and maintain data models and pipelines. Create engaging dashboards and visualisations to present findings to non-technical audiences. Collaborate with stakeholders to translate business needs into data-driven outcomes. Use analytics to uncover trends, opportunities, and risks that shape company strategy. Champion data best practices and innovation within the wider team. What's in it for you? Competitive salary (based on geography and experience). Fully remote working - work from anywhere in the world. 2,500 personal development budget for certifications, training, and learning. Health insurance (where applicable). Skills and Experience Must Have: 2+ years' experience as a Data Analyst, Data Engineer, or Analytics Engineer. dbt Advanced SQL skills and experience with data visualisation tools (Tableau preferred). Knowledge of data modelling, warehousing, and analytics best practices. Strong communication skills with the ability to explain technical findings clearly. Nice to Have: Exposure to event-based analytics and user behaviour tracking. Understanding of machine learning models and techniques. Experience in a start-up or fast-scaling tech environment. If you'd like to be considered for this exciting Product Data Analyst opportunity and think you'd be a great fit, please click the Apply button below to submit your CV. We look forward to hearing from you!
Microsoft AI Engineer/Azure Artificial Intelligence Engineer This is a new and exclusive opportunity for a AI Engineer/Azure Artificial Intelligence Engineer to join a thriving STEM business as they are growing their AI Engineer/Azure Artificial Intelligence centre of excellence Role details Title: AI Engineer/Azure Artificial Intelligence Engineer Location: can be either London or Glasow, and expectation is 1 or 2 days a week in the office with home working hybrid flexibility Permanent roles only, salary £60,000- £90,000 Dependent on location and experience Technical stack: Azure AI solutions, including Azure OpenAI Service, Azure Cognitive Services, and Azure Machine Learning Requirements Extensive experience with Azure AI solutions, programming experience (Python, C#, or Java) Thisis a brilliant new role, and an opportunity to join a business who are genuinley growing this team to be a future centre of excellence for the country. They are also a very supportive home working flexible working environment As an AI Engineer specialising in Azure Services, you will be responsible for designing, implementing, and maintaining AI solutions within our organisation. Leveraging the Azure platform, including Azure OpenAI, Azure Vision and other Azure AI services, you will develop scalable, efficient, and effective AI models and systems to address business challenges, enhance decision-making, and drive innovation. Collaboration with cross-functional teams to integrate AI capabilities into our products and services will be a key part of your role. This is an opportunity to join a high functioning relaxed team that will significantly contribute to the digital transformation this STEM business Role requirements Strong Programming Skills: Proficiency in programming languages such as Python, C#, or Java, with a deep understanding of software development principles. Extensive experience with Azure AI solutions, including Azure OpenAI Service, Azure Cognitive Services, and Azure Machine Learning. Familiarity with Azure Databricks is a plus. Understanding of CI/CD pipelines, containerization (Docker, Kubernetes), and experience implementing MLOps practices using Azure DevOps. Qualifications such as the following would be advantageous, however not necessary: Microsoft Azure AI Engineer Fundamentals/Associate Microsoft Azure Data Engineer Microsoft Data Scientist Associate For more information, and the chance to be considered, please do send through a CV- good luck To find out more about Huxley, please visit our website Huxley, a trading division of SThree Partnership LLP is acting as an Employment Business in relation to this vacancy | Registered office | 8 Bishopsgate, London, EC2N 4BQ, United Kingdom | Partnership Number | OC387148 England and Wales
10/12/2025
Full time
Microsoft AI Engineer/Azure Artificial Intelligence Engineer This is a new and exclusive opportunity for a AI Engineer/Azure Artificial Intelligence Engineer to join a thriving STEM business as they are growing their AI Engineer/Azure Artificial Intelligence centre of excellence Role details Title: AI Engineer/Azure Artificial Intelligence Engineer Location: can be either London or Glasow, and expectation is 1 or 2 days a week in the office with home working hybrid flexibility Permanent roles only, salary £60,000- £90,000 Dependent on location and experience Technical stack: Azure AI solutions, including Azure OpenAI Service, Azure Cognitive Services, and Azure Machine Learning Requirements Extensive experience with Azure AI solutions, programming experience (Python, C#, or Java) Thisis a brilliant new role, and an opportunity to join a business who are genuinley growing this team to be a future centre of excellence for the country. They are also a very supportive home working flexible working environment As an AI Engineer specialising in Azure Services, you will be responsible for designing, implementing, and maintaining AI solutions within our organisation. Leveraging the Azure platform, including Azure OpenAI, Azure Vision and other Azure AI services, you will develop scalable, efficient, and effective AI models and systems to address business challenges, enhance decision-making, and drive innovation. Collaboration with cross-functional teams to integrate AI capabilities into our products and services will be a key part of your role. This is an opportunity to join a high functioning relaxed team that will significantly contribute to the digital transformation this STEM business Role requirements Strong Programming Skills: Proficiency in programming languages such as Python, C#, or Java, with a deep understanding of software development principles. Extensive experience with Azure AI solutions, including Azure OpenAI Service, Azure Cognitive Services, and Azure Machine Learning. Familiarity with Azure Databricks is a plus. Understanding of CI/CD pipelines, containerization (Docker, Kubernetes), and experience implementing MLOps practices using Azure DevOps. Qualifications such as the following would be advantageous, however not necessary: Microsoft Azure AI Engineer Fundamentals/Associate Microsoft Azure Data Engineer Microsoft Data Scientist Associate For more information, and the chance to be considered, please do send through a CV- good luck To find out more about Huxley, please visit our website Huxley, a trading division of SThree Partnership LLP is acting as an Employment Business in relation to this vacancy | Registered office | 8 Bishopsgate, London, EC2N 4BQ, United Kingdom | Partnership Number | OC387148 England and Wales
Senior Data Engineer - Azure Data - Burton-on-Trent - Permanent - Hybrid Salary - £60,000 - £67,000 per annum This role requires 1 day / week in Burton-on-Trent, with hybrid working arrangements. Our client is seeking a highly skilled Senior Data Engineer to join their dynamic IT team, based in Burton-on-Trent. The Senior Data Engineer will come on board to support the Strategic Data Manager in establishing and managing an efficient Business Intelligence technical service. Assisting in the advancement of our cloud-based data platforms, providing options for timely processing and cost-efficient solutions. A strong background in Azure Data Pipeline development is key for this position. Key Skills & Responsibilities: Build and manage pipelines using Azure Data Factory, Databricks, CI/CD, and Terraform. Optimisation of ETL processes for performance and cost-efficiency. Design scalable data models aligned with business needs. Azure data solutions for efficient data storage and retrieval. Ensure compliance with data protection laws (e.g., GDPR), implement encryption and access controls. Work with cross-functional teams and mentor junior engineers. Manage and tune Azure SQL Database instances. Proactively monitor pipelines and infrastructure for performance and reliability. Maintain technical documentation and lead knowledge-sharing initiatives. Deploy advanced analytics and machine learning solutions using Azure. Stay current with Azure technologies and identify areas for enhancement. Databricks (Unity Catalog, DLT), Data Factory, Synapse, Data Lake, Stream Analytics, Event Hubs. Strong knowledge of Python, Scala, C#, .NET. Experience with advanced SQL, T-SQL, relational databases. Azure DevOps, Terraform, BICEP, ARM templates. Distributed computing, cloud-native design patterns. Data modelling, metadata management, data quality, data as a product. Strong communication, empathy, determination, openness to innovation. Strong Microsoft Office 365 experience Interested? Please submit your updated CV to Lewis Rushton at Crimson for immediate consideration. Not interested? Do you know someone who might be a perfect fit for this role? Refer a friend and earn £250 worth of vouchers! Crimson is acting as an employment agency regarding this vacancy Crimson is acting as an employment agency regarding this vacancy JBRP1_UKTJ
10/12/2025
Full time
Senior Data Engineer - Azure Data - Burton-on-Trent - Permanent - Hybrid Salary - £60,000 - £67,000 per annum This role requires 1 day / week in Burton-on-Trent, with hybrid working arrangements. Our client is seeking a highly skilled Senior Data Engineer to join their dynamic IT team, based in Burton-on-Trent. The Senior Data Engineer will come on board to support the Strategic Data Manager in establishing and managing an efficient Business Intelligence technical service. Assisting in the advancement of our cloud-based data platforms, providing options for timely processing and cost-efficient solutions. A strong background in Azure Data Pipeline development is key for this position. Key Skills & Responsibilities: Build and manage pipelines using Azure Data Factory, Databricks, CI/CD, and Terraform. Optimisation of ETL processes for performance and cost-efficiency. Design scalable data models aligned with business needs. Azure data solutions for efficient data storage and retrieval. Ensure compliance with data protection laws (e.g., GDPR), implement encryption and access controls. Work with cross-functional teams and mentor junior engineers. Manage and tune Azure SQL Database instances. Proactively monitor pipelines and infrastructure for performance and reliability. Maintain technical documentation and lead knowledge-sharing initiatives. Deploy advanced analytics and machine learning solutions using Azure. Stay current with Azure technologies and identify areas for enhancement. Databricks (Unity Catalog, DLT), Data Factory, Synapse, Data Lake, Stream Analytics, Event Hubs. Strong knowledge of Python, Scala, C#, .NET. Experience with advanced SQL, T-SQL, relational databases. Azure DevOps, Terraform, BICEP, ARM templates. Distributed computing, cloud-native design patterns. Data modelling, metadata management, data quality, data as a product. Strong communication, empathy, determination, openness to innovation. Strong Microsoft Office 365 experience Interested? Please submit your updated CV to Lewis Rushton at Crimson for immediate consideration. Not interested? Do you know someone who might be a perfect fit for this role? Refer a friend and earn £250 worth of vouchers! Crimson is acting as an employment agency regarding this vacancy Crimson is acting as an employment agency regarding this vacancy JBRP1_UKTJ
Junior Applications Engineer £30,000 - £35,000 Sandiacre Role Overview We are seeking a motivated engineer with an electrical / electromechanical engineering degree and up to 2 years' experience to join our team as a Laser Service & Applications Engineer. In this role you will split your time between: - Developing and improving laser cutting applications - Answering customer service calls and diagnosing problems remotely - Working in our factory to commission new laser machines and support production and process development - Gaining deep product knowledge across legacy and modern laser systems and helping advance our product line - Few times a month, visiting customer sites to repair, maintain and commission laser machines Key Responsibilities - Responsible for developing and improving laser cutting applications - Provide phone-based customer support: receive service calls, diagnose issues, guide customers, and determine when a field visit is required - When required, travel to customer sites to conduct on-site repairs, maintenance, upgrades and commissioning of laser equipment - Commission new machines in the factory: setup, calibration, acceptance testing, handover to production - Learn and document the differences between legacy laser systems and new-generation machines, their physical design, control systems and maintenance regimes - Collaborate with production and manufacturing teams to support process development for both current and future product lines - Actively contribute to product advancement through feedback, testing and continuous improvement initiatives - Interface with customers to understand their application needs and provide technical support and advice - Assist in developing installation, operation and maintenance procedures and technical documentation - Work with cross-functional teams (engineering, manufacturing, service, sales) to drive continuous improvement of service offerings and product usability Required Qualifications & Traits - Bachelor's degree in Electrical or Electrotechnical Engineering (or equivalent) - 0 to 2 years of relevant engineering experience - Strong problem-solving aptitude: you genuinely enjoy fixing things as a hobby, tinkering, taking machines apart and understanding them - Quick learner who enjoys solving problems and diving into machine systems - Comfortable speaking with customers: good interpersonal and communication skills, able to explain technical issues in an understandable way - Willingness to travel to customer sites and work in production environments - Enthusiasm for learning both the physical/mechanical side and the electrical / PLC side of laser systems Desired Traits - Proactive, curious and hands-on: you not only fix things in your free time, but you also want to be an "engineer" outside work too - Customer-friendly: you enjoy engaging with customers to understand their issues and help them resolve problems - Process-oriented mindset: you see opportunities to improve how machines are commissioned, maintained, or upgraded - A committed team player who works well across functions and shares knowledge Why Join Us? You will join a team where the service function is evolving and a strong product-knowledge engineer is needed. You will build deep expertise across a range of laser systems, from older machines in the field to the latest generation models in the factory. The mix of customer-facing service support, on-site field work and production commissioning gives you a varied and challenging role-ideal for someone who loves machines and solving things JBRP1_UKTJ
10/12/2025
Full time
Junior Applications Engineer £30,000 - £35,000 Sandiacre Role Overview We are seeking a motivated engineer with an electrical / electromechanical engineering degree and up to 2 years' experience to join our team as a Laser Service & Applications Engineer. In this role you will split your time between: - Developing and improving laser cutting applications - Answering customer service calls and diagnosing problems remotely - Working in our factory to commission new laser machines and support production and process development - Gaining deep product knowledge across legacy and modern laser systems and helping advance our product line - Few times a month, visiting customer sites to repair, maintain and commission laser machines Key Responsibilities - Responsible for developing and improving laser cutting applications - Provide phone-based customer support: receive service calls, diagnose issues, guide customers, and determine when a field visit is required - When required, travel to customer sites to conduct on-site repairs, maintenance, upgrades and commissioning of laser equipment - Commission new machines in the factory: setup, calibration, acceptance testing, handover to production - Learn and document the differences between legacy laser systems and new-generation machines, their physical design, control systems and maintenance regimes - Collaborate with production and manufacturing teams to support process development for both current and future product lines - Actively contribute to product advancement through feedback, testing and continuous improvement initiatives - Interface with customers to understand their application needs and provide technical support and advice - Assist in developing installation, operation and maintenance procedures and technical documentation - Work with cross-functional teams (engineering, manufacturing, service, sales) to drive continuous improvement of service offerings and product usability Required Qualifications & Traits - Bachelor's degree in Electrical or Electrotechnical Engineering (or equivalent) - 0 to 2 years of relevant engineering experience - Strong problem-solving aptitude: you genuinely enjoy fixing things as a hobby, tinkering, taking machines apart and understanding them - Quick learner who enjoys solving problems and diving into machine systems - Comfortable speaking with customers: good interpersonal and communication skills, able to explain technical issues in an understandable way - Willingness to travel to customer sites and work in production environments - Enthusiasm for learning both the physical/mechanical side and the electrical / PLC side of laser systems Desired Traits - Proactive, curious and hands-on: you not only fix things in your free time, but you also want to be an "engineer" outside work too - Customer-friendly: you enjoy engaging with customers to understand their issues and help them resolve problems - Process-oriented mindset: you see opportunities to improve how machines are commissioned, maintained, or upgraded - A committed team player who works well across functions and shares knowledge Why Join Us? You will join a team where the service function is evolving and a strong product-knowledge engineer is needed. You will build deep expertise across a range of laser systems, from older machines in the field to the latest generation models in the factory. The mix of customer-facing service support, on-site field work and production commissioning gives you a varied and challenging role-ideal for someone who loves machines and solving things JBRP1_UKTJ
Microsoft AI Engineer / Azure Artificial Intelligence Engineer This is a new and exclusive opportunity for a AI Engineer / Azure Artificial Intelligence Engineer to join a thriving STEM business as they are growing their AI Engineer / Azure Artificial Intelligence centre of excellence Role details Title: AI Engineer / Azure Artificial Intelligence Engineer Location: can be either London or Glasow, and expectation is 1 or 2 days a week in the office with home working hybrid flexibility Permanent roles only, salary 60,000- 90,000 dependant on location and experience Technical stack: Azure AI solutions, including Azure OpenAI Service, Azure Cognitive Services, and Azure Machine Learning Requirements Extensive experience with Azure AI solutions, programming expereince (Python, C#, or Java) Thisis a brilliant new role, and an opportunity to join a business who are genuinley growing this team to be a future centre of excellence for the country. They are also a very supportive home working flexible working environment As an AI Engineer specialising in Azure Services, you will be responsible for designing, implementing, and maintaining AI solutions within our organisation. Leveraging the Azure platform, including Azure OpenAI, Azure Vision and other Azure AI services, you will develop scalable, efficient, and effective AI models and systems to address business challenges, enhance decision-making, and drive innovation. Collaboration with cross-functional teams to integrate AI capabilities into our products and services will be a key part of your role. This is an opportunity to join a high functioning relaxed team that will significantly contribute to the digital transformation this STEM business Role requirements Strong Programming Skills: Proficiency in programming languages such as Python, C#, or Java, with a deep understanding of software development principles. Extensive experience with Azure AI solutions, including Azure OpenAI Service, Azure Cognitive Services, and Azure Machine Learning. Familiarity with Azure Databricks is a plus. Understanding of CI/CD pipelines, containerization (Docker, Kubernetes), and experience implementing MLOps practices using Azure DevOps. Qualifications such as the following would be advantageous, however not necessary: Microsoft Azure AI Engineer Fundamentals / Associate Microsoft Azure Data Engineer Microsoft Data Scientist Associate For more information, and the chance to be considered, please do send through a cv- good luck To find out more about Huxley, please visit (url removed) Huxley, a trading division of SThree Partnership LLP is acting as an Employment Business in relation to this vacancy Registered office 8 Bishopsgate, London, EC2N 4BQ, United Kingdom Partnership Number OC(phone number removed) England and Wales
10/12/2025
Full time
Microsoft AI Engineer / Azure Artificial Intelligence Engineer This is a new and exclusive opportunity for a AI Engineer / Azure Artificial Intelligence Engineer to join a thriving STEM business as they are growing their AI Engineer / Azure Artificial Intelligence centre of excellence Role details Title: AI Engineer / Azure Artificial Intelligence Engineer Location: can be either London or Glasow, and expectation is 1 or 2 days a week in the office with home working hybrid flexibility Permanent roles only, salary 60,000- 90,000 dependant on location and experience Technical stack: Azure AI solutions, including Azure OpenAI Service, Azure Cognitive Services, and Azure Machine Learning Requirements Extensive experience with Azure AI solutions, programming expereince (Python, C#, or Java) Thisis a brilliant new role, and an opportunity to join a business who are genuinley growing this team to be a future centre of excellence for the country. They are also a very supportive home working flexible working environment As an AI Engineer specialising in Azure Services, you will be responsible for designing, implementing, and maintaining AI solutions within our organisation. Leveraging the Azure platform, including Azure OpenAI, Azure Vision and other Azure AI services, you will develop scalable, efficient, and effective AI models and systems to address business challenges, enhance decision-making, and drive innovation. Collaboration with cross-functional teams to integrate AI capabilities into our products and services will be a key part of your role. This is an opportunity to join a high functioning relaxed team that will significantly contribute to the digital transformation this STEM business Role requirements Strong Programming Skills: Proficiency in programming languages such as Python, C#, or Java, with a deep understanding of software development principles. Extensive experience with Azure AI solutions, including Azure OpenAI Service, Azure Cognitive Services, and Azure Machine Learning. Familiarity with Azure Databricks is a plus. Understanding of CI/CD pipelines, containerization (Docker, Kubernetes), and experience implementing MLOps practices using Azure DevOps. Qualifications such as the following would be advantageous, however not necessary: Microsoft Azure AI Engineer Fundamentals / Associate Microsoft Azure Data Engineer Microsoft Data Scientist Associate For more information, and the chance to be considered, please do send through a cv- good luck To find out more about Huxley, please visit (url removed) Huxley, a trading division of SThree Partnership LLP is acting as an Employment Business in relation to this vacancy Registered office 8 Bishopsgate, London, EC2N 4BQ, United Kingdom Partnership Number OC(phone number removed) England and Wales
Application Software Engineer (Mid level - Senior), Degree, UI/UX, JavaScript Location: Cambridge, UK (Hybrid) Salary: 35,000 - 55,000 (depending on experience) The Company Join a pioneering AI and machine learning software house, led by award-winning entrepreneurs and known for pushing the boundaries of innovation. You'll be part of a collaborative, high-calibre team working on impactful, real-world projects, leveraging cutting-edge technologies including modern JavaScript libraries and front-end frameworks. What We're Looking For Education & Skills - A 2:1 or higher in Computer Science, Engineering, Physics, or a related field from a top university. - AAB or higher at A-levels. - Strong mathematical and analytical thinking skills. - Excellent communication and teamwork abilities, happy to be in a team and share ideas. Technical Skills - Exceptional with one or more of the following: Programming: Node.js, Python, Java, JavaScript (React, Angular, Vue.js), JavaScript libraries (React, Angular, Vue.js) - Databases: PostgreSQL, Elasticsearch, Redis - A proactive, problem-solving mindset and eagerness to learn. - Some UI or UX design work - Ideally a competent programmer in Java or Python to a high level - Someone that has been involved both backend and front end could do very well here. Experience - The sweet spot for the Application Software Engineer position is someone with three to five years industry experience in a cutting edge tech company. - Passion for software engineering and a desire to build scalable, high-quality applications. The Role As an Application Software Engineer, you'll: - Contribute to the design, development, and implementation of software applications. - Collaborate with a diverse and talented team of engineers. - Learn from an experience team whilst sharing your own ideas. - Designing smart web based applications, chance to work end back and front end. Why Join Us? - Work with a globally respected AI software company. - Competitive salary and benefits. - Hybrid working model with a collaborative office culture in Cambridge. - Learn from top experts in AI and machine learning. - Clear progression path and opportunities to grow your career. Application Process - Submit a CV that highlights your academic achievements and relevant experience. - Initial discussions will take place before your application is submitted to the employer. Ready to take the next step in your software engineering career? Apply now! Adecco is acting as an Employment Agency. We are an equal opportunities employer.
09/12/2025
Full time
Application Software Engineer (Mid level - Senior), Degree, UI/UX, JavaScript Location: Cambridge, UK (Hybrid) Salary: 35,000 - 55,000 (depending on experience) The Company Join a pioneering AI and machine learning software house, led by award-winning entrepreneurs and known for pushing the boundaries of innovation. You'll be part of a collaborative, high-calibre team working on impactful, real-world projects, leveraging cutting-edge technologies including modern JavaScript libraries and front-end frameworks. What We're Looking For Education & Skills - A 2:1 or higher in Computer Science, Engineering, Physics, or a related field from a top university. - AAB or higher at A-levels. - Strong mathematical and analytical thinking skills. - Excellent communication and teamwork abilities, happy to be in a team and share ideas. Technical Skills - Exceptional with one or more of the following: Programming: Node.js, Python, Java, JavaScript (React, Angular, Vue.js), JavaScript libraries (React, Angular, Vue.js) - Databases: PostgreSQL, Elasticsearch, Redis - A proactive, problem-solving mindset and eagerness to learn. - Some UI or UX design work - Ideally a competent programmer in Java or Python to a high level - Someone that has been involved both backend and front end could do very well here. Experience - The sweet spot for the Application Software Engineer position is someone with three to five years industry experience in a cutting edge tech company. - Passion for software engineering and a desire to build scalable, high-quality applications. The Role As an Application Software Engineer, you'll: - Contribute to the design, development, and implementation of software applications. - Collaborate with a diverse and talented team of engineers. - Learn from an experience team whilst sharing your own ideas. - Designing smart web based applications, chance to work end back and front end. Why Join Us? - Work with a globally respected AI software company. - Competitive salary and benefits. - Hybrid working model with a collaborative office culture in Cambridge. - Learn from top experts in AI and machine learning. - Clear progression path and opportunities to grow your career. Application Process - Submit a CV that highlights your academic achievements and relevant experience. - Initial discussions will take place before your application is submitted to the employer. Ready to take the next step in your software engineering career? Apply now! Adecco is acting as an Employment Agency. We are an equal opportunities employer.
Contract | 6-12 months+ | Outside IR35 Programme Start: Q1 2026 A major UK financial services organisation has secured funding for a multi-year AI transformation and modernisation programme starting in Q1 2026. We're looking for a hands-on ML Engineer to build and productionise models that support governance, risk, analytics and operational decision-making. What you'll be doing Build and deploy ML models into production-grade cloud environments Work with data engineers and the AI Hub teams to deliver use cases end-to-end Support monitoring, retraining and continuous improvement of models Collaborate on responsible AI practices (explainability, fairness, audit trails) Influence ML design and engineering best practice within the programme What you'll need Strong Python and ML frameworks (PyTorch/TensorFlow/scikit-learn) Experience deploying models into Azure environments Familiarity with CI/CD, MLflow, model governance Stakeholder communication skills in regulated settings FS/pensions experience strongly preferred If you're an experienced ML engineer feel free to apply or send your C.V to (see below)
09/12/2025
Contractor
Contract | 6-12 months+ | Outside IR35 Programme Start: Q1 2026 A major UK financial services organisation has secured funding for a multi-year AI transformation and modernisation programme starting in Q1 2026. We're looking for a hands-on ML Engineer to build and productionise models that support governance, risk, analytics and operational decision-making. What you'll be doing Build and deploy ML models into production-grade cloud environments Work with data engineers and the AI Hub teams to deliver use cases end-to-end Support monitoring, retraining and continuous improvement of models Collaborate on responsible AI practices (explainability, fairness, audit trails) Influence ML design and engineering best practice within the programme What you'll need Strong Python and ML frameworks (PyTorch/TensorFlow/scikit-learn) Experience deploying models into Azure environments Familiarity with CI/CD, MLflow, model governance Stakeholder communication skills in regulated settings FS/pensions experience strongly preferred If you're an experienced ML engineer feel free to apply or send your C.V to (see below)
Application Software Engineer (Mid level - Senior), Degree, UI/UX, JavaScript Location: Cambridge, UK (Hybrid) Salary: £35,000 - £55,000 (depending on experience) The Company Join a pioneering AI and machine learning software house, led by award-winning entrepreneurs and known for pushing the boundaries of innovation. You'll be part of a collaborative, high-calibre team working on impactful, real-world projects, leveraging cutting-edge technologies including modern JavaScript libraries and Front End frameworks. What We're Looking For Education & Skills - A 2:1 or higher in Computer Science, Engineering, Physics, or a related field from a top university. - AAB or higher at A-levels. - Strong mathematical and analytical thinking skills. - Excellent communication and teamwork abilities, happy to be in a team and share ideas. Technical Skills - Exceptional with one or more of the following: Programming: Node.js, Python, Java, JavaScript (React, Angular, Vue.js), JavaScript libraries (React, Angular, Vue.js) - Databases: PostgreSQL, Elasticsearch, Redis - A proactive, problem-solving mindset and eagerness to learn. - Some UI or UX design work - Ideally a competent programmer in Java or Python to a high level - Someone that has been involved both Back End and Front End could do very well here. Experience - The sweet spot for the Application Software Engineer position is someone with three to five years industry experience in a cutting edge tech company. - Passion for software engineering and a desire to build scalable, high-quality applications. The Role As an Application Software Engineer, you'll: - Contribute to the design, development, and implementation of software applications. - Collaborate with a diverse and talented team of engineers. - Learn from an experience team whilst sharing your own ideas. - Designing smart web based applications, chance to work end back and Front End. Why Join Us? - Work with a globally respected AI software company. - Competitive salary and benefits. - Hybrid working model with a collaborative office culture in Cambridge. - Learn from top experts in AI and machine learning. - Clear progression path and opportunities to grow your career. Application Process - Submit a CV that highlights your academic achievements and relevant experience. - Initial discussions will take place before your application is submitted to the employer. Ready to take the next step in your software engineering career? Apply now! Adecco is acting as an Employment Agency. We are an equal opportunities employer.
09/12/2025
Full time
Application Software Engineer (Mid level - Senior), Degree, UI/UX, JavaScript Location: Cambridge, UK (Hybrid) Salary: £35,000 - £55,000 (depending on experience) The Company Join a pioneering AI and machine learning software house, led by award-winning entrepreneurs and known for pushing the boundaries of innovation. You'll be part of a collaborative, high-calibre team working on impactful, real-world projects, leveraging cutting-edge technologies including modern JavaScript libraries and Front End frameworks. What We're Looking For Education & Skills - A 2:1 or higher in Computer Science, Engineering, Physics, or a related field from a top university. - AAB or higher at A-levels. - Strong mathematical and analytical thinking skills. - Excellent communication and teamwork abilities, happy to be in a team and share ideas. Technical Skills - Exceptional with one or more of the following: Programming: Node.js, Python, Java, JavaScript (React, Angular, Vue.js), JavaScript libraries (React, Angular, Vue.js) - Databases: PostgreSQL, Elasticsearch, Redis - A proactive, problem-solving mindset and eagerness to learn. - Some UI or UX design work - Ideally a competent programmer in Java or Python to a high level - Someone that has been involved both Back End and Front End could do very well here. Experience - The sweet spot for the Application Software Engineer position is someone with three to five years industry experience in a cutting edge tech company. - Passion for software engineering and a desire to build scalable, high-quality applications. The Role As an Application Software Engineer, you'll: - Contribute to the design, development, and implementation of software applications. - Collaborate with a diverse and talented team of engineers. - Learn from an experience team whilst sharing your own ideas. - Designing smart web based applications, chance to work end back and Front End. Why Join Us? - Work with a globally respected AI software company. - Competitive salary and benefits. - Hybrid working model with a collaborative office culture in Cambridge. - Learn from top experts in AI and machine learning. - Clear progression path and opportunities to grow your career. Application Process - Submit a CV that highlights your academic achievements and relevant experience. - Initial discussions will take place before your application is submitted to the employer. Ready to take the next step in your software engineering career? Apply now! Adecco is acting as an Employment Agency. We are an equal opportunities employer.
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. Data Science practice at Sky Data science is at the heart of decision making in Sky and drives a majority of decisions across marketing, customer interactions and customer services at Sky. In the Advanced Analytics team, w e are scaling up our data science practice to transform how we manage customers across all life cycles for both experience profitability. We have built and successfully deployed intelligence into Sky and are already delivering realisable value into the business. We gather a very large amount of data on customer behaviours and interactions and are looking for data scientists to extra ct value from our data assets and maximise customer value. What you'll do: Producing high quality, actionable insights through advanced analytics and cutting-edge predictive algorithms : work as a self-starter and be actively curious about what numbers are telling us and how they can be actioned upon to improve our customer experience . Designing and implementing innovative and commercially led data science and insights roadmaps with stakeholders (marketing, retention, service, finance) to improve the way they make decisions: hypotheses-led problem solving to deliver solutions to business problems . Engage with our technology teams and data engineers to build compliant, efficient and scalable solutions Strengthen our internal data science capabilities by continuously innovating and driving new ideas, building technology partnerships with our vendors, training and developing our people and creating a world class data science team at Sky Engage with key stakeholders (marketing, retention, service, finance) to understand business objectives and support these objectives through best use of advanced analytics approaches. Responsible for identifying the best analytical techniques, developing the solution, creating a fram ework for testing the solution and measuring the incremental value to the business from the solution What you'll bring: Expertise in multiple advanced analytical areas including Forecasting, Predictive Modelling, Optimisation, Clustering or NLP Experience building and deploying advanced analytics solutions in a large scale (preferably B2C) cloud environmen t Experience in deploying commercially viable applications using deep learning techniques combining structured and unstructured data is highly desirable Ability to quickly understand a business objective, problem solving to create an analytical solution and develop a solution alongside stakeholder s are essential Commercial knowledge and applications of data science to drive commercial value is a must - everything we do drives value into the business Proven expertise in leading the development and deployment of big data solutions on Cloud platforms (essential) Programming for modelling and/or data analysis e.g. Python, Tensorflow (essential) Database experience, preferably SQL (essential) Expertise in cutting-edge AI methodologies, including Generative AI and Reinforcement Learning Machine learning - Supervised/unsupervised learning, regression, decision trees, random forests, boosting, clustering (essential) The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space: Osterley: Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There's also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
09/12/2025
Full time
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. Data Science practice at Sky Data science is at the heart of decision making in Sky and drives a majority of decisions across marketing, customer interactions and customer services at Sky. In the Advanced Analytics team, w e are scaling up our data science practice to transform how we manage customers across all life cycles for both experience profitability. We have built and successfully deployed intelligence into Sky and are already delivering realisable value into the business. We gather a very large amount of data on customer behaviours and interactions and are looking for data scientists to extra ct value from our data assets and maximise customer value. What you'll do: Producing high quality, actionable insights through advanced analytics and cutting-edge predictive algorithms : work as a self-starter and be actively curious about what numbers are telling us and how they can be actioned upon to improve our customer experience . Designing and implementing innovative and commercially led data science and insights roadmaps with stakeholders (marketing, retention, service, finance) to improve the way they make decisions: hypotheses-led problem solving to deliver solutions to business problems . Engage with our technology teams and data engineers to build compliant, efficient and scalable solutions Strengthen our internal data science capabilities by continuously innovating and driving new ideas, building technology partnerships with our vendors, training and developing our people and creating a world class data science team at Sky Engage with key stakeholders (marketing, retention, service, finance) to understand business objectives and support these objectives through best use of advanced analytics approaches. Responsible for identifying the best analytical techniques, developing the solution, creating a fram ework for testing the solution and measuring the incremental value to the business from the solution What you'll bring: Expertise in multiple advanced analytical areas including Forecasting, Predictive Modelling, Optimisation, Clustering or NLP Experience building and deploying advanced analytics solutions in a large scale (preferably B2C) cloud environmen t Experience in deploying commercially viable applications using deep learning techniques combining structured and unstructured data is highly desirable Ability to quickly understand a business objective, problem solving to create an analytical solution and develop a solution alongside stakeholder s are essential Commercial knowledge and applications of data science to drive commercial value is a must - everything we do drives value into the business Proven expertise in leading the development and deployment of big data solutions on Cloud platforms (essential) Programming for modelling and/or data analysis e.g. Python, Tensorflow (essential) Database experience, preferably SQL (essential) Expertise in cutting-edge AI methodologies, including Generative AI and Reinforcement Learning Machine learning - Supervised/unsupervised learning, regression, decision trees, random forests, boosting, clustering (essential) The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space: Osterley: Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There's also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do We are seeking a highly skilled Lead Machine Learning Engineer to advance our personalised recommendation systems by developing efficient, low-latency solutions that serve millions of users globally. The successful candidate will collaborate closely with data scientists, engineers, and product managers to design intelligent content recommendation mechanisms and drive the ongoing advancement of our Machine Learning Platform. Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis. Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets. Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance. Experimentation: Lead the design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement. Cross-Functional Collaboration: Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs. Research & Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems. What you'll bring Demonstrated expertise in the full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance. Advanced proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch). Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe). Experience with high-volume data processing and real-time streaming architectures. Strong understanding of recommendation system design and personalisation algorithms. Familiarity with Generative AI and its applications in production settings. Exceptional communication and analytical problem-solving skills. Proven successful experience in mentoring less experienced engineers to improve their technical skills A Typical Day at the Office When you come in, you can grab a coffee or a bit of breakfast from one of the many (subsidised) caf s or restaurants on site. Settle in at your desk, have a quick look at Slack to see what's happening in the tech communities, then catch up with everyone at the team stand-up. After that, you'll join your team and pick the first task to get cracking on. At lunchtime, you've got a few choices: head to The Pavilion for a bite with the team, pop to the onsite gym for a quick workout, or join in with a lunchtime community meetup - whatever suits you. Once you're back, you'll carry on working with your team on your current feature. Later in the afternoon, the team might fancy a quick coffee break before wrapping up the day with a team retrospective. Global OTT Technology Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world's best entertainment, news and sport. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
09/12/2025
Full time
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do We are seeking a highly skilled Lead Machine Learning Engineer to advance our personalised recommendation systems by developing efficient, low-latency solutions that serve millions of users globally. The successful candidate will collaborate closely with data scientists, engineers, and product managers to design intelligent content recommendation mechanisms and drive the ongoing advancement of our Machine Learning Platform. Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis. Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets. Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance. Experimentation: Lead the design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement. Cross-Functional Collaboration: Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs. Research & Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems. What you'll bring Demonstrated expertise in the full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance. Advanced proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch). Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe). Experience with high-volume data processing and real-time streaming architectures. Strong understanding of recommendation system design and personalisation algorithms. Familiarity with Generative AI and its applications in production settings. Exceptional communication and analytical problem-solving skills. Proven successful experience in mentoring less experienced engineers to improve their technical skills A Typical Day at the Office When you come in, you can grab a coffee or a bit of breakfast from one of the many (subsidised) caf s or restaurants on site. Settle in at your desk, have a quick look at Slack to see what's happening in the tech communities, then catch up with everyone at the team stand-up. After that, you'll join your team and pick the first task to get cracking on. At lunchtime, you've got a few choices: head to The Pavilion for a bite with the team, pop to the onsite gym for a quick workout, or join in with a lunchtime community meetup - whatever suits you. Once you're back, you'll carry on working with your team on your current feature. Later in the afternoon, the team might fancy a quick coffee break before wrapping up the day with a team retrospective. Global OTT Technology Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world's best entertainment, news and sport. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do We are seeking a highly skilled Lead Machine Learning Engineer to advance our personalised recommendation systems by developing efficient, low-latency solutions that serve millions of users globally. The successful candidate will collaborate closely with data scientists, engineers, and product managers to design intelligent content recommendation mechanisms and drive the ongoing advancement of our Machine Learning Platform. Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis. Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets. Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance. Experimentation: Lead the design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement. Cross-Functional Collaboration: Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs. Research & Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems. What you'll bring Demonstrated expertise in the full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance. Advanced proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch). Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe). Experience with high-volume data processing and real-time streaming architectures. Strong understanding of recommendation system design and personalisation algorithms. Familiarity with Generative AI and its applications in production settings. Exceptional communication and analytical problem-solving skills. Proven successful experience in mentoring less experienced engineers to improve their technical skills A Typical Day at the Office When you come in, you can grab a coffee or a bit of breakfast from one of the many (subsidised) cafés or restaurants on site. Settle in at your desk, have a quick look at Slack to see what's happening in the tech communities, then catch up with everyone at the team stand-up. After that, you'll join your team and pick the first task to get cracking on. At lunchtime, you've got a few choices: head to The Pavilion for a bite with the team, pop to the onsite gym for a quick workout, or join in with a lunchtime community meetup - whatever suits you. Once you're back, you'll carry on working with your team on your current feature. Later in the afternoon, the team might fancy a quick coffee break before wrapping up the day with a team retrospective. Global OTT Technology Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world's best entertainment, news and sport. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
08/12/2025
Full time
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do We are seeking a highly skilled Lead Machine Learning Engineer to advance our personalised recommendation systems by developing efficient, low-latency solutions that serve millions of users globally. The successful candidate will collaborate closely with data scientists, engineers, and product managers to design intelligent content recommendation mechanisms and drive the ongoing advancement of our Machine Learning Platform. Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis. Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets. Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance. Experimentation: Lead the design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement. Cross-Functional Collaboration: Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs. Research & Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems. What you'll bring Demonstrated expertise in the full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance. Advanced proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch). Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe). Experience with high-volume data processing and real-time streaming architectures. Strong understanding of recommendation system design and personalisation algorithms. Familiarity with Generative AI and its applications in production settings. Exceptional communication and analytical problem-solving skills. Proven successful experience in mentoring less experienced engineers to improve their technical skills A Typical Day at the Office When you come in, you can grab a coffee or a bit of breakfast from one of the many (subsidised) cafés or restaurants on site. Settle in at your desk, have a quick look at Slack to see what's happening in the tech communities, then catch up with everyone at the team stand-up. After that, you'll join your team and pick the first task to get cracking on. At lunchtime, you've got a few choices: head to The Pavilion for a bite with the team, pop to the onsite gym for a quick workout, or join in with a lunchtime community meetup - whatever suits you. Once you're back, you'll carry on working with your team on your current feature. Later in the afternoon, the team might fancy a quick coffee break before wrapping up the day with a team retrospective. Global OTT Technology Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world's best entertainment, news and sport. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. Data Science practice at Sky Data science is at the heart of decision making in Sky and drives a majority of decisions across marketing, customer interactions and customer services at Sky. In the Advanced Analytics team, w e are scaling up our data science practice to transform how we manage customers across all life cycles for both experience profitability. We have built and successfully deployed intelligence into Sky and are already delivering realisable value into the business. We gather a very large amount of data on customer behaviours and interactions and are looking for data scientists to extra ct value from our data assets and maximise customer value. What you'll do: Producing high quality, actionable insights through advanced analytics and cutting-edge predictive algorithms : work as a self-starter and be actively curious about what numbers are telling us and how they can be actioned upon to improve our customer experience . Designing and implementing innovative and commercially led data science and insights roadmaps with stakeholders (marketing, retention, service, finance) to improve the way they make decisions: hypotheses-led problem solving to deliver solutions to business problems . Engage with our technology teams and data engineers to build compliant, efficient and scalable solutions Strengthen our internal data science capabilities by continuously innovating and driving new ideas, building technology partnerships with our vendors, training and developing our people and creating a world class data science team at Sky Engage with key stakeholders (marketing, retention, service, finance) to understand business objectives and support these objectives through best use of advanced analytics approaches. Responsible for identifying the best analytical techniques, developing the solution, creating a fram ework for testing the solution and measuring the incremental value to the business from the solution What you'll bring: Expertise in multiple advanced analytical areas including Forecasting, Predictive Modelling, Optimisation, Clustering or NLP Experience building and deploying advanced analytics solutions in a large scale (preferably B2C) cloud environmen t Experience in deploying commercially viable applications using deep learning techniques combining structured and unstructured data is highly desirable Ability to quickly understand a business objective, problem solving to create an analytical solution and develop a solution alongside stakeholder s are essential Commercial knowledge and applications of data science to drive commercial value is a must - everything we do drives value into the business Proven expertise in leading the development and deployment of big data solutions on Cloud platforms (essential) Programming for modelling and/or data analysis e.g. Python, Tensorflow (essential) Database experience, preferably SQL (essential) Expertise in cutting-edge AI methodologies, including Generative AI and Reinforcement Learning Machine learning - Supervised/unsupervised learning, regression, decision trees, random forests, boosting, clustering (essential) The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space: Osterley: Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There's also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
08/12/2025
Full time
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. Data Science practice at Sky Data science is at the heart of decision making in Sky and drives a majority of decisions across marketing, customer interactions and customer services at Sky. In the Advanced Analytics team, w e are scaling up our data science practice to transform how we manage customers across all life cycles for both experience profitability. We have built and successfully deployed intelligence into Sky and are already delivering realisable value into the business. We gather a very large amount of data on customer behaviours and interactions and are looking for data scientists to extra ct value from our data assets and maximise customer value. What you'll do: Producing high quality, actionable insights through advanced analytics and cutting-edge predictive algorithms : work as a self-starter and be actively curious about what numbers are telling us and how they can be actioned upon to improve our customer experience . Designing and implementing innovative and commercially led data science and insights roadmaps with stakeholders (marketing, retention, service, finance) to improve the way they make decisions: hypotheses-led problem solving to deliver solutions to business problems . Engage with our technology teams and data engineers to build compliant, efficient and scalable solutions Strengthen our internal data science capabilities by continuously innovating and driving new ideas, building technology partnerships with our vendors, training and developing our people and creating a world class data science team at Sky Engage with key stakeholders (marketing, retention, service, finance) to understand business objectives and support these objectives through best use of advanced analytics approaches. Responsible for identifying the best analytical techniques, developing the solution, creating a fram ework for testing the solution and measuring the incremental value to the business from the solution What you'll bring: Expertise in multiple advanced analytical areas including Forecasting, Predictive Modelling, Optimisation, Clustering or NLP Experience building and deploying advanced analytics solutions in a large scale (preferably B2C) cloud environmen t Experience in deploying commercially viable applications using deep learning techniques combining structured and unstructured data is highly desirable Ability to quickly understand a business objective, problem solving to create an analytical solution and develop a solution alongside stakeholder s are essential Commercial knowledge and applications of data science to drive commercial value is a must - everything we do drives value into the business Proven expertise in leading the development and deployment of big data solutions on Cloud platforms (essential) Programming for modelling and/or data analysis e.g. Python, Tensorflow (essential) Database experience, preferably SQL (essential) Expertise in cutting-edge AI methodologies, including Generative AI and Reinforcement Learning Machine learning - Supervised/unsupervised learning, regression, decision trees, random forests, boosting, clustering (essential) The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space: Osterley: Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There's also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
We are working with a high-growth AI technology company in the Greater Cambridge area who are seeking a Senior RF Data Scientist / Research Engineer to work at the intersection of RF hardware, digital signal processing, and machine learning. This is a hands-on R&D role ideally suited to engineers and scientists who enjoy fast-paced prototyping, complex problem-solving, and developing cutting-edge UAV/drone detection technologies. In this role, you will analyse complex RF data from software-defined radios (SDRs), develop advanced signal-processing pipelines, and contribute directly to the design and testing of novel sensing systems. You will be responsible for extracting and classifying RF signal features from raw IQ data, building diagnostic tools to characterise RF signals, and designing data-processing pipelines that account for real-world hardware constraints such as bandwidth limitations, ADC performance, and timing jitter. You will also model RF front-end behaviour, improving signal integrity and inference accuracy, and apply machine learning and statistical models for classification, anomaly detection, and emitter identification. You will prototype real-time and batch-processing systems using Python (NumPy, SciPy, PyTorch) and integrate them with frameworks such as GNU Radio, ZMQ, or C++ backends. The role involves leading RF data collection, field experiments, and over-the-air testing with drones, wireless devices, and custom transmitters. Collaboration across engineering and research teams is central, and you will contribute to both experimental design and iterative R&D development. The ideal candidate will have strong Python proficiency for data analysis and prototyping, a solid understanding of digital signal processing (FFT, filtering, modulation, correlation, resampling, and noise modelling), and familiarity with SDR frameworks such as GNU Radio, SDRangel, osmoSDR, or SoapySDR. A practical understanding of RF hardware chains - from antenna through filters, mixers, and ADCs - and their impact on baseband data is essential. You should also be comfortable debugging SDR setups, performing field-based RF data collection, and analysing wireless protocols such as Wi-Fi, LTE, and LoRa. Strong communication skills and the ability to work iteratively in a research-focused environment are essential. Experience with SDR hardware (bladeRF, HackRF, USRP, PlutoSDR), RF lab equipment (spectrum analysers, VNAs, signal generators), embedded or real-time systems, beamforming, passive radar, or antenna array design is highly desirable. Knowledge of RF circuit fundamentals, FPGA or GPU acceleration, and prior publications, patents, or open-source RF/ML contributions are also beneficial but not essential. This is a full-time role based in Saffron Walden / Greater Cambridge, with flexibility for onsite or hybrid working depending on project needs. You will join a dynamic Research & Prototyping team, directly influencing early-stage hardware-software product development and shaping the next generation of AI-driven sensing technologies. If you are an experienced RF data scientist or research engineer looking for a hands-on role at the cutting edge of RF, signal processing, and machine learning, we would love to hear from you. Zero Surplus is one of the UK's premier recruitment agencies, based just outside Cambridge our recruiters source staff for small and international businesses across Suffolk, Essex, Hertfordshire, Northants, Milton Keynes, Cambridgeshire, and the rest of the UK. For registration purposes, please let us know where you are currently based or which locations you are considering as well as your required salary and notice period. Please upload a Microsoft Word version of your CV where possible, excluding text boxes or images. Any data we collect from you will be stored and processed in accordance with Zero Surplus' Privacy Policy.
08/12/2025
Full time
We are working with a high-growth AI technology company in the Greater Cambridge area who are seeking a Senior RF Data Scientist / Research Engineer to work at the intersection of RF hardware, digital signal processing, and machine learning. This is a hands-on R&D role ideally suited to engineers and scientists who enjoy fast-paced prototyping, complex problem-solving, and developing cutting-edge UAV/drone detection technologies. In this role, you will analyse complex RF data from software-defined radios (SDRs), develop advanced signal-processing pipelines, and contribute directly to the design and testing of novel sensing systems. You will be responsible for extracting and classifying RF signal features from raw IQ data, building diagnostic tools to characterise RF signals, and designing data-processing pipelines that account for real-world hardware constraints such as bandwidth limitations, ADC performance, and timing jitter. You will also model RF front-end behaviour, improving signal integrity and inference accuracy, and apply machine learning and statistical models for classification, anomaly detection, and emitter identification. You will prototype real-time and batch-processing systems using Python (NumPy, SciPy, PyTorch) and integrate them with frameworks such as GNU Radio, ZMQ, or C++ backends. The role involves leading RF data collection, field experiments, and over-the-air testing with drones, wireless devices, and custom transmitters. Collaboration across engineering and research teams is central, and you will contribute to both experimental design and iterative R&D development. The ideal candidate will have strong Python proficiency for data analysis and prototyping, a solid understanding of digital signal processing (FFT, filtering, modulation, correlation, resampling, and noise modelling), and familiarity with SDR frameworks such as GNU Radio, SDRangel, osmoSDR, or SoapySDR. A practical understanding of RF hardware chains - from antenna through filters, mixers, and ADCs - and their impact on baseband data is essential. You should also be comfortable debugging SDR setups, performing field-based RF data collection, and analysing wireless protocols such as Wi-Fi, LTE, and LoRa. Strong communication skills and the ability to work iteratively in a research-focused environment are essential. Experience with SDR hardware (bladeRF, HackRF, USRP, PlutoSDR), RF lab equipment (spectrum analysers, VNAs, signal generators), embedded or real-time systems, beamforming, passive radar, or antenna array design is highly desirable. Knowledge of RF circuit fundamentals, FPGA or GPU acceleration, and prior publications, patents, or open-source RF/ML contributions are also beneficial but not essential. This is a full-time role based in Saffron Walden / Greater Cambridge, with flexibility for onsite or hybrid working depending on project needs. You will join a dynamic Research & Prototyping team, directly influencing early-stage hardware-software product development and shaping the next generation of AI-driven sensing technologies. If you are an experienced RF data scientist or research engineer looking for a hands-on role at the cutting edge of RF, signal processing, and machine learning, we would love to hear from you. Zero Surplus is one of the UK's premier recruitment agencies, based just outside Cambridge our recruiters source staff for small and international businesses across Suffolk, Essex, Hertfordshire, Northants, Milton Keynes, Cambridgeshire, and the rest of the UK. For registration purposes, please let us know where you are currently based or which locations you are considering as well as your required salary and notice period. Please upload a Microsoft Word version of your CV where possible, excluding text boxes or images. Any data we collect from you will be stored and processed in accordance with Zero Surplus' Privacy Policy.
Software Development Team Lead Software Development Team Lead required by a leading global Cloud Technology company based in Bracknell. The company are working on cutting-edge technology including AI and propensity modelling. The Software Development Team Lead will be responsible for the software engineering output of the team. This will be a leadership role however the successful Software Development Team Lead will also be expected to be hands-on writing code when required, as well as designing architecture. Therefore the successful candidate will have strong hands-on coding knowledge. The company are happy to consider a Senior/Lead Developer who is looking to step up into more of a leadership role. They operate on a hybrid model which involves 3 days in the office and 2 days from home. Essential experience: Degree in STEM subject from a Russell Group or Red Brick University Experience leading software development teams Knowledge of either C# or React Strong experience with SQL Source control, ideally Git Agile Any experience in the following would be advantageous: Latest versions of .NET AI, Machine Learning JavaScript, TypeScript and associated frameworks Containers, Docker, Kubernetes NoSQL Test tools such as xUnit, Cypress, Selenium, Jest, SoapUI This is an exciting opportunity to join a rapidly expanding company using the latest tools and technologies. If you are looking for a role of this nature, please contact (url removed) or call (phone number removed). Spectrum IT Recruitment (South) Limited is acting as an Employment Agency in relation to this vacancy.
08/12/2025
Full time
Software Development Team Lead Software Development Team Lead required by a leading global Cloud Technology company based in Bracknell. The company are working on cutting-edge technology including AI and propensity modelling. The Software Development Team Lead will be responsible for the software engineering output of the team. This will be a leadership role however the successful Software Development Team Lead will also be expected to be hands-on writing code when required, as well as designing architecture. Therefore the successful candidate will have strong hands-on coding knowledge. The company are happy to consider a Senior/Lead Developer who is looking to step up into more of a leadership role. They operate on a hybrid model which involves 3 days in the office and 2 days from home. Essential experience: Degree in STEM subject from a Russell Group or Red Brick University Experience leading software development teams Knowledge of either C# or React Strong experience with SQL Source control, ideally Git Agile Any experience in the following would be advantageous: Latest versions of .NET AI, Machine Learning JavaScript, TypeScript and associated frameworks Containers, Docker, Kubernetes NoSQL Test tools such as xUnit, Cypress, Selenium, Jest, SoapUI This is an exciting opportunity to join a rapidly expanding company using the latest tools and technologies. If you are looking for a role of this nature, please contact (url removed) or call (phone number removed). Spectrum IT Recruitment (South) Limited is acting as an Employment Agency in relation to this vacancy.
Graduate Applications Engineer £30,000 - £35,000 Sandiacre Role Overview We are seeking a motivated engineer with an electrical / electromechanical engineering degree and up to 2 years' experience to join our team as a Laser Service & Applications Engineer. In this role you will split your time between: - Developing and improving laser cutting applications - Answering customer service calls and diagnosing problems remotely - Working in our factory to commission new laser machines and support production and process development - Gaining deep product knowledge across legacy and modern laser systems and helping advance our product line - Few times a month, visiting customer sites to repair, maintain and commission laser machines Key Responsibilities - Responsible for developing and improving laser cutting applications - Provide phone-based customer support: receive service calls, diagnose issues, guide customers, and determine when a field visit is required - When required, travel to customer sites to conduct on-site repairs, maintenance, upgrades and commissioning of laser equipment - Commission new machines in the factory: setup, calibration, acceptance testing, handover to production - Learn and document the differences between legacy laser systems and new-generation machines, their physical design, control systems and maintenance regimes - Collaborate with production and manufacturing teams to support process development for both current and future product lines - Actively contribute to product advancement through feedback, testing and continuous improvement initiatives - Interface with customers to understand their application needs and provide technical support and advice - Assist in developing installation, operation and maintenance procedures and technical documentation - Work with cross-functional teams (engineering, manufacturing, service, sales) to drive continuous improvement of service offerings and product usability Required Qualifications & Traits - Bachelor's degree in Electrical or Electrotechnical Engineering (or equivalent) - 0 to 2 years of relevant engineering experience - Strong problem-solving aptitude: you genuinely enjoy fixing things as a hobby, tinkering, taking machines apart and understanding them - Quick learner who enjoys solving problems and diving into machine systems - Comfortable speaking with customers: good interpersonal and communication skills, able to explain technical issues in an understandable way - Willingness to travel to customer sites and work in production environments - Enthusiasm for learning both the physical/mechanical side and the electrical / PLC side of laser systems Desired Traits - Proactive, curious and hands-on: you not only fix things in your free time, but you also want to be an "engineer" outside work too - Customer-friendly: you enjoy engaging with customers to understand their issues and help them resolve problems - Process-oriented mindset: you see opportunities to improve how machines are commissioned, maintained, or upgraded - A committed team player who works well across functions and shares knowledge Why Join Us? You will join a team where the service function is evolving and a strong product-knowledge engineer is needed. You will build deep expertise across a range of laser systems, from older machines in the field to the latest generation models in the factory. The mix of customer-facing service support, on-site field work and production commissioning gives you a varied and challenging role-ideal for someone who loves machines and solving things
08/12/2025
Full time
Graduate Applications Engineer £30,000 - £35,000 Sandiacre Role Overview We are seeking a motivated engineer with an electrical / electromechanical engineering degree and up to 2 years' experience to join our team as a Laser Service & Applications Engineer. In this role you will split your time between: - Developing and improving laser cutting applications - Answering customer service calls and diagnosing problems remotely - Working in our factory to commission new laser machines and support production and process development - Gaining deep product knowledge across legacy and modern laser systems and helping advance our product line - Few times a month, visiting customer sites to repair, maintain and commission laser machines Key Responsibilities - Responsible for developing and improving laser cutting applications - Provide phone-based customer support: receive service calls, diagnose issues, guide customers, and determine when a field visit is required - When required, travel to customer sites to conduct on-site repairs, maintenance, upgrades and commissioning of laser equipment - Commission new machines in the factory: setup, calibration, acceptance testing, handover to production - Learn and document the differences between legacy laser systems and new-generation machines, their physical design, control systems and maintenance regimes - Collaborate with production and manufacturing teams to support process development for both current and future product lines - Actively contribute to product advancement through feedback, testing and continuous improvement initiatives - Interface with customers to understand their application needs and provide technical support and advice - Assist in developing installation, operation and maintenance procedures and technical documentation - Work with cross-functional teams (engineering, manufacturing, service, sales) to drive continuous improvement of service offerings and product usability Required Qualifications & Traits - Bachelor's degree in Electrical or Electrotechnical Engineering (or equivalent) - 0 to 2 years of relevant engineering experience - Strong problem-solving aptitude: you genuinely enjoy fixing things as a hobby, tinkering, taking machines apart and understanding them - Quick learner who enjoys solving problems and diving into machine systems - Comfortable speaking with customers: good interpersonal and communication skills, able to explain technical issues in an understandable way - Willingness to travel to customer sites and work in production environments - Enthusiasm for learning both the physical/mechanical side and the electrical / PLC side of laser systems Desired Traits - Proactive, curious and hands-on: you not only fix things in your free time, but you also want to be an "engineer" outside work too - Customer-friendly: you enjoy engaging with customers to understand their issues and help them resolve problems - Process-oriented mindset: you see opportunities to improve how machines are commissioned, maintained, or upgraded - A committed team player who works well across functions and shares knowledge Why Join Us? You will join a team where the service function is evolving and a strong product-knowledge engineer is needed. You will build deep expertise across a range of laser systems, from older machines in the field to the latest generation models in the factory. The mix of customer-facing service support, on-site field work and production commissioning gives you a varied and challenging role-ideal for someone who loves machines and solving things
Lynx Recruitment are looking for an Automation Applications Engineer to help design, install, and support advanced automation systems with a strong focus on machine vision and machine learning technologies. In this hands-on role, you'll collaborate with clients and internal engineering teams to ensure seamless system integration and top performance across a range of automation projects. Key Responsibilities Install, configure, and optimise automation and machine vision systems, including AWS ML or similar integrations. Develop and refine vision algorithms for inspection and process control. Conduct maintenance, troubleshooting, and performance testing of automated systems. Work directly with clients to understand requirements and deliver technical support. Maintain clear documentation on installations, configurations, and model performance. Ensure compliance with all safety standards and procedures. About You Bachelor's degree in Engineering (or equivalent experience). 1-3 years' experience in automation, machine vision, or machine learning. Proficient in Python (Linux environment). Experience with PLCs, HMIs , and Fieldbus networks (Ethernet/IP, ProfiNet, etc.). Familiar with machine learning frameworks and computer vision tools. Strong communication, analytical, and problem-solving skills. Interest in robotics and intelligent automation.
08/12/2025
Full time
Lynx Recruitment are looking for an Automation Applications Engineer to help design, install, and support advanced automation systems with a strong focus on machine vision and machine learning technologies. In this hands-on role, you'll collaborate with clients and internal engineering teams to ensure seamless system integration and top performance across a range of automation projects. Key Responsibilities Install, configure, and optimise automation and machine vision systems, including AWS ML or similar integrations. Develop and refine vision algorithms for inspection and process control. Conduct maintenance, troubleshooting, and performance testing of automated systems. Work directly with clients to understand requirements and deliver technical support. Maintain clear documentation on installations, configurations, and model performance. Ensure compliance with all safety standards and procedures. About You Bachelor's degree in Engineering (or equivalent experience). 1-3 years' experience in automation, machine vision, or machine learning. Proficient in Python (Linux environment). Experience with PLCs, HMIs , and Fieldbus networks (Ethernet/IP, ProfiNet, etc.). Familiar with machine learning frameworks and computer vision tools. Strong communication, analytical, and problem-solving skills. Interest in robotics and intelligent automation.
*Must be Sole British National for this role* This is an exciting opportunity to join a cutting-edge technology consultancy working at the forefront of innovation in defence and homeland security. As a Machine Learning Consultant, you will play a key role in developing advanced solutions that help protect the UK from emerging technological and cyber threats. About the Role You will work on a wide range of challenging, meaningful projects alongside multidisciplinary teams of scientists and engineers. The role spans research, prototyping, and deployment of machine learning systems across diverse real-world applications. You will contribute to the full ML development cycle, including ideation, data preparation, rapid prototyping, model design, evaluation, and packaging solutions into client-ready demonstrators and products. Key Responsibilities Design, develop, and deploy machine learning models for novel or complex problems. Research and experiment with emerging model architectures and ML technologies. Build rapid prototypes and assess feasibility for real-world applications. Work across disciplines, integrating science, engineering, and machine learning. Solve technical challenges across the entire ML pipeline and development life cycle. About You *Must be Sole British National for this role* You are curious, creative, and bring a strong scientific approach to problem-solving. You enjoy exploring new concepts, learning quickly, and applying ML in innovative ways. You will have: A 2:1 or above degree in Maths, Physics, Engineering, Computer Science or a similar subject. Strong Python programming skills. Hands-on experience with frameworks such as TensorFlow, PyTorch, or JAX. Experience building ML solutions for novel, edge, or resource-constrained environments. Familiarity with a variety of ML techniques (eg, computer vision, audio, generative models). Knowledge of GPU hardware and programming languages such as CUDA. Desirable: Graduate-level research experience or equivalent R&D experience. Experience in client-facing or consultancy-style roles. Ability to quickly pick up new technical domains.
08/12/2025
Full time
*Must be Sole British National for this role* This is an exciting opportunity to join a cutting-edge technology consultancy working at the forefront of innovation in defence and homeland security. As a Machine Learning Consultant, you will play a key role in developing advanced solutions that help protect the UK from emerging technological and cyber threats. About the Role You will work on a wide range of challenging, meaningful projects alongside multidisciplinary teams of scientists and engineers. The role spans research, prototyping, and deployment of machine learning systems across diverse real-world applications. You will contribute to the full ML development cycle, including ideation, data preparation, rapid prototyping, model design, evaluation, and packaging solutions into client-ready demonstrators and products. Key Responsibilities Design, develop, and deploy machine learning models for novel or complex problems. Research and experiment with emerging model architectures and ML technologies. Build rapid prototypes and assess feasibility for real-world applications. Work across disciplines, integrating science, engineering, and machine learning. Solve technical challenges across the entire ML pipeline and development life cycle. About You *Must be Sole British National for this role* You are curious, creative, and bring a strong scientific approach to problem-solving. You enjoy exploring new concepts, learning quickly, and applying ML in innovative ways. You will have: A 2:1 or above degree in Maths, Physics, Engineering, Computer Science or a similar subject. Strong Python programming skills. Hands-on experience with frameworks such as TensorFlow, PyTorch, or JAX. Experience building ML solutions for novel, edge, or resource-constrained environments. Familiarity with a variety of ML techniques (eg, computer vision, audio, generative models). Knowledge of GPU hardware and programming languages such as CUDA. Desirable: Graduate-level research experience or equivalent R&D experience. Experience in client-facing or consultancy-style roles. Ability to quickly pick up new technical domains.
Company Description Telefónica Tech (part of the Telefónica Group) is a leading NextGen Tech solutions provider with a highly diversified team of over 6,000 exceptionally skilled employees and nationalities. We serve more than 5.5m customers every day in over 175 countries, with a global ecosystem of market-leading partners. Global strategic hubs: Spain, Brazil, the UK, Germany. The Telefónica Tech UK&I hub has an end- to-end portfolio of market leading services and develops integrated technology solutions to accelerate digital transformation through: Cloud, Data & AI, Enterprise Applications, Workplace Services and Cyber Security & Networking. Values: Open, Trusted and Bold Trusted Partners: Microsoft: Top 3 Service Providers, Azure Expert Status, Fastrack & Inner Circle Partner HPE: Platinum Partner - FY23 UK&I Solution Provider of the Year Palo Alto & Crowdstrike: part of our NextDefense Cyber Security Portfolio Fortinet: Elite VIP Program - one of only 2 in the UK AWS: Advanced Solution & Managed Service Provider Program Job Description Senior AI/Data Engineering Consultant We are looking for people that will guide us in our growth, innovate and mentor. We need you to help us break and create the rules to continue to be a place admired for our people, culture and innovation - and to help us in being a place that everyone wants to work, and no one wants to leave! The role will vary depending on the project but will primarily focus on the delivery of enterprise-level solutions in the Artificial Intelligence, Data Science/Machine Learning and Data Engineering arena.? This is a client-facing position, so the ideal candidate must be comfortable speaking with clients and some occasional?travel. Our offices are in Farnham and London. The role can be based at either location. Induction, training and company meets are done at both offices. When we can, we generally get together at either of the offices either a Wednesday or?a Friday. RESPONSIBILITIES Working on projects that utilise the Microsoft Azure technology stack across domains such as AI, Data Engineering, Data Science & Machine Learning. Satisfying the expectations and requirements of customers, both internal and external Supporting others in their development Contributing to the internal?and external community Industry experience in delivering Microsoft Azure solutions, with a good grounding in all associated areas Proven written and spoken English Strategic and operational decision-making skills Outstanding interpersonal skills Ability and attitude towards investigating and sharing new technologies Ability to guide, direct or influence people Ability to identify opportunities, issues and risks Willingness to learn based on feedback Able to help others develop Ideally degree educated - computer science, data analysis, AI & Machine Learning etc Microsoft certified (nice to have) TECHNICAL SKILLS Peoples skills vary and that's great because the role varies. You should be comfortable with at least 3 of the core technologies below and have an interest in at least 4 others within the core/supporting/principles. Current Microsoft/Databricks certifications are useful but not mandatory - we'll help you get those! Core: Data Manipulation (SQL, Pandas, Pyspark) Azure AI (Azure AI Foundry, AI Search, Document Intelligence, AI Services) Data Science & Machine Learning (Databricks, Python, SKLearn, XGBoost, MLFlow, EDA) Familiarity with LLMs (OpenAI, Prompt Engineering, LangChain) Relevant Azure Data & Computation services (ADLS, ADF, Databricks, SQL Databases) Supporting: Azure ML Services React/CSS/JavaScript Azure infrastructure R, Powershell Kubernetes/Docker Tensorflow/Pytorch Principles: Data Modelling Data Science Data Warehouse Theory Data Architecture Master Data Management Additional Information At Telefónica Tech, we believe inclusion is the bridge that empowers everyone to be their authentic selves. We celebrate and respect our differences because diversity drives innovation and makes us stronger. Be yourself with us, and feel that you belong. We welcome applicants from all backgrounds and identities regardless of age, disability, gender reassignment, marital or civil partnership status, pregnancy or maternity, race, religion or belief, sex, and sexual orientation. We are also committed to equity, accessible hiring practices, and creating an inclusive culture through many means including TogetHer (Women's network) and our Employee Resource Groups which include Diversity and Inclusion, Telefónica Tech Pride, Neurodiversity, ELEVATE (African and Caribbean heritage network), and Sustainability. We don't believe hiring is a tick box exercise, so if you feel that you don't match the job description 100%, but would still be a great fit for role, please get in touch.
08/12/2025
Full time
Company Description Telefónica Tech (part of the Telefónica Group) is a leading NextGen Tech solutions provider with a highly diversified team of over 6,000 exceptionally skilled employees and nationalities. We serve more than 5.5m customers every day in over 175 countries, with a global ecosystem of market-leading partners. Global strategic hubs: Spain, Brazil, the UK, Germany. The Telefónica Tech UK&I hub has an end- to-end portfolio of market leading services and develops integrated technology solutions to accelerate digital transformation through: Cloud, Data & AI, Enterprise Applications, Workplace Services and Cyber Security & Networking. Values: Open, Trusted and Bold Trusted Partners: Microsoft: Top 3 Service Providers, Azure Expert Status, Fastrack & Inner Circle Partner HPE: Platinum Partner - FY23 UK&I Solution Provider of the Year Palo Alto & Crowdstrike: part of our NextDefense Cyber Security Portfolio Fortinet: Elite VIP Program - one of only 2 in the UK AWS: Advanced Solution & Managed Service Provider Program Job Description Senior AI/Data Engineering Consultant We are looking for people that will guide us in our growth, innovate and mentor. We need you to help us break and create the rules to continue to be a place admired for our people, culture and innovation - and to help us in being a place that everyone wants to work, and no one wants to leave! The role will vary depending on the project but will primarily focus on the delivery of enterprise-level solutions in the Artificial Intelligence, Data Science/Machine Learning and Data Engineering arena.? This is a client-facing position, so the ideal candidate must be comfortable speaking with clients and some occasional?travel. Our offices are in Farnham and London. The role can be based at either location. Induction, training and company meets are done at both offices. When we can, we generally get together at either of the offices either a Wednesday or?a Friday. RESPONSIBILITIES Working on projects that utilise the Microsoft Azure technology stack across domains such as AI, Data Engineering, Data Science & Machine Learning. Satisfying the expectations and requirements of customers, both internal and external Supporting others in their development Contributing to the internal?and external community Industry experience in delivering Microsoft Azure solutions, with a good grounding in all associated areas Proven written and spoken English Strategic and operational decision-making skills Outstanding interpersonal skills Ability and attitude towards investigating and sharing new technologies Ability to guide, direct or influence people Ability to identify opportunities, issues and risks Willingness to learn based on feedback Able to help others develop Ideally degree educated - computer science, data analysis, AI & Machine Learning etc Microsoft certified (nice to have) TECHNICAL SKILLS Peoples skills vary and that's great because the role varies. You should be comfortable with at least 3 of the core technologies below and have an interest in at least 4 others within the core/supporting/principles. Current Microsoft/Databricks certifications are useful but not mandatory - we'll help you get those! Core: Data Manipulation (SQL, Pandas, Pyspark) Azure AI (Azure AI Foundry, AI Search, Document Intelligence, AI Services) Data Science & Machine Learning (Databricks, Python, SKLearn, XGBoost, MLFlow, EDA) Familiarity with LLMs (OpenAI, Prompt Engineering, LangChain) Relevant Azure Data & Computation services (ADLS, ADF, Databricks, SQL Databases) Supporting: Azure ML Services React/CSS/JavaScript Azure infrastructure R, Powershell Kubernetes/Docker Tensorflow/Pytorch Principles: Data Modelling Data Science Data Warehouse Theory Data Architecture Master Data Management Additional Information At Telefónica Tech, we believe inclusion is the bridge that empowers everyone to be their authentic selves. We celebrate and respect our differences because diversity drives innovation and makes us stronger. Be yourself with us, and feel that you belong. We welcome applicants from all backgrounds and identities regardless of age, disability, gender reassignment, marital or civil partnership status, pregnancy or maternity, race, religion or belief, sex, and sexual orientation. We are also committed to equity, accessible hiring practices, and creating an inclusive culture through many means including TogetHer (Women's network) and our Employee Resource Groups which include Diversity and Inclusion, Telefónica Tech Pride, Neurodiversity, ELEVATE (African and Caribbean heritage network), and Sustainability. We don't believe hiring is a tick box exercise, so if you feel that you don't match the job description 100%, but would still be a great fit for role, please get in touch.
