Senior Python Full Stack Developer - Hybrid (Tech stack: Python, Flask, PostgreSQL, JavaScript, Docker, AWS, CI/CD) Our client is a purpose-driven technology company building advanced software solutions within the renewable energy sector . Their platforms support complex, data-led decision making and play a key role in driving sustainable outcomes. This is a hybrid role where you will work across both front and back end development, delivering high-quality software and contributing to the design of scalable, cloud-based systems. Key Responsibilities: Design, build, and maintain full stack web applications. Develop backend services and background processing systems. Create intuitive, high-quality user interfaces. Contribute to system architecture, database design, and cloud infrastructure. Build and maintain CI/CD pipelines and containerised environments. Collaborate with cross-functional teams and mentor junior developers. Skills & Experience: Strong experience with Python (Flask) and backend development. Solid knowledge of PostgreSQL and database design . Front end experience with HTML, CSS, JavaScript . Experience with Docker and cloud platforms (AWS) . Familiarity with CI/CD pipelines and version control (Git). Experience building scalable, production-ready applications. Experience with parallel processing, mapping tools, or distributed systems would be beneficial but not essential. This is a fantastic opportunity to join a tech-for-good organisation where your work will directly contribute to the transition towards renewable energy. Location: Newcastle (Hybrid) Salary: £42,000 - £62,000 Applicants must have the right to work in the UK. NOIRUKTECHREC NOIRUKREC
26/06/2026
Full time
Senior Python Full Stack Developer - Hybrid (Tech stack: Python, Flask, PostgreSQL, JavaScript, Docker, AWS, CI/CD) Our client is a purpose-driven technology company building advanced software solutions within the renewable energy sector . Their platforms support complex, data-led decision making and play a key role in driving sustainable outcomes. This is a hybrid role where you will work across both front and back end development, delivering high-quality software and contributing to the design of scalable, cloud-based systems. Key Responsibilities: Design, build, and maintain full stack web applications. Develop backend services and background processing systems. Create intuitive, high-quality user interfaces. Contribute to system architecture, database design, and cloud infrastructure. Build and maintain CI/CD pipelines and containerised environments. Collaborate with cross-functional teams and mentor junior developers. Skills & Experience: Strong experience with Python (Flask) and backend development. Solid knowledge of PostgreSQL and database design . Front end experience with HTML, CSS, JavaScript . Experience with Docker and cloud platforms (AWS) . Familiarity with CI/CD pipelines and version control (Git). Experience building scalable, production-ready applications. Experience with parallel processing, mapping tools, or distributed systems would be beneficial but not essential. This is a fantastic opportunity to join a tech-for-good organisation where your work will directly contribute to the transition towards renewable energy. Location: Newcastle (Hybrid) Salary: £42,000 - £62,000 Applicants must have the right to work in the UK. NOIRUKTECHREC NOIRUKREC
Job Details Title: Senior Software Engineer - Machine Learning Enablement Reference: 47560 Band: D Contract: Full-time, Permanent Department: Data Platforms Locations: Salford Dock House (Primary), Glasgow Pacific Quay, Newcastle, Cardiff Central Square, Birmingham Mailbox (one day a week hybrid) Proposed Salary Range: £60,000 - £70,000 Closing Date: 23:59 on Monday 6th of July 2026 Interview Process Stage 1: Coding assessment to evaluate technical proficiency. Final Stage: Comprehensive interview consisting of a technical presentation and a competency based interview focused on values and behaviours. Purpose As a Senior Software Engineer within the Machine Learning Enablement Team at the BBC, you will design and deliver the tools, platforms, and capabilities that empower data scientists and engineering teams across the organisation. Your work will enable scalable, high quality machine learning workflows and help shape the BBC's future through innovative technology solutions. Responsibilities Design, build, and maintain tools, services, and infrastructure to support machine learning workflows. Apply strong engineering practices, including TDD, CI/CD, and clean software design principles. Mentor and support junior engineers, fostering a culture of continuous learning and excellence. Collaborate through pair programming and cross functional engagement to deliver efficient, maintainable solutions. Contribute to architectural decisions, particularly involving data driven technologies and system integrations. Conduct code reviews and implement robust testing strategies to ensure quality, security, reliability, and scalability. Build and maintain relationships with local engineering communities to support team growth and capability development. Essential Skills and Experience Strong experience with modern Python development, including TDD and CI/CD pipelines. Solid understanding of software engineering principles, design patterns, best practices including optimisation, monitoring, and security considerations. Experience building cloud based services with AWS (e.g., SageMaker, S3, VPC, KMS). Experience with infrastructure as code tools such as AWS CDK or CloudFormation. Experience developing and maintaining data or ML focused pipelines. Desired Skills and Experience Experience designing scalable architectures for data driven products. Engagement with wider engineering communities or networks to support recruitment and knowledge sharing. Experience collaborating with cross functional teams, particularly data scientists and product teams, to deliver end to end solutions. Experience with containerisation and orchestration technologies. Familiarity with statistical concepts and machine learning techniques or frameworks. Benefits Competitive salary package. Flexible 35 hour working week. 25 days annual leave with option to buy an extra 5 days. Defined pension scheme. Discounted dental, health care and gym. Excellent career and professional development opportunities. Support in your working life, including flexible working discussions at any point during the application, selection or offer. Values based organisation. Legal and EEO Statements Before your start date, you may need to disclose any unspent convictions or police charges, in line with our Contracts of Employment policy. Failure to disclose may result in the withdrawal of your offer. This job description is a written statement of the essential characteristics of the job, with its principal accountabilities, incorporating a note of the skills, knowledge and experience required for a satisfactory level of performance. This is not intended to be a complete, detailed account of all aspects of the duties involved. We welcome applications from individuals, regardless of age, gender, ethnicity, disability, sexual orientation, gender identity, socio economic background, religion and/or belief. If you were to be offered this role, the BBC will conduct employment screening checks which include reference checks, eligibility to work checks, and, if applicable, safeguarding and adverse media checks. Any offer made is conditional on these checks being satisfactory.
26/06/2026
Full time
Job Details Title: Senior Software Engineer - Machine Learning Enablement Reference: 47560 Band: D Contract: Full-time, Permanent Department: Data Platforms Locations: Salford Dock House (Primary), Glasgow Pacific Quay, Newcastle, Cardiff Central Square, Birmingham Mailbox (one day a week hybrid) Proposed Salary Range: £60,000 - £70,000 Closing Date: 23:59 on Monday 6th of July 2026 Interview Process Stage 1: Coding assessment to evaluate technical proficiency. Final Stage: Comprehensive interview consisting of a technical presentation and a competency based interview focused on values and behaviours. Purpose As a Senior Software Engineer within the Machine Learning Enablement Team at the BBC, you will design and deliver the tools, platforms, and capabilities that empower data scientists and engineering teams across the organisation. Your work will enable scalable, high quality machine learning workflows and help shape the BBC's future through innovative technology solutions. Responsibilities Design, build, and maintain tools, services, and infrastructure to support machine learning workflows. Apply strong engineering practices, including TDD, CI/CD, and clean software design principles. Mentor and support junior engineers, fostering a culture of continuous learning and excellence. Collaborate through pair programming and cross functional engagement to deliver efficient, maintainable solutions. Contribute to architectural decisions, particularly involving data driven technologies and system integrations. Conduct code reviews and implement robust testing strategies to ensure quality, security, reliability, and scalability. Build and maintain relationships with local engineering communities to support team growth and capability development. Essential Skills and Experience Strong experience with modern Python development, including TDD and CI/CD pipelines. Solid understanding of software engineering principles, design patterns, best practices including optimisation, monitoring, and security considerations. Experience building cloud based services with AWS (e.g., SageMaker, S3, VPC, KMS). Experience with infrastructure as code tools such as AWS CDK or CloudFormation. Experience developing and maintaining data or ML focused pipelines. Desired Skills and Experience Experience designing scalable architectures for data driven products. Engagement with wider engineering communities or networks to support recruitment and knowledge sharing. Experience collaborating with cross functional teams, particularly data scientists and product teams, to deliver end to end solutions. Experience with containerisation and orchestration technologies. Familiarity with statistical concepts and machine learning techniques or frameworks. Benefits Competitive salary package. Flexible 35 hour working week. 25 days annual leave with option to buy an extra 5 days. Defined pension scheme. Discounted dental, health care and gym. Excellent career and professional development opportunities. Support in your working life, including flexible working discussions at any point during the application, selection or offer. Values based organisation. Legal and EEO Statements Before your start date, you may need to disclose any unspent convictions or police charges, in line with our Contracts of Employment policy. Failure to disclose may result in the withdrawal of your offer. This job description is a written statement of the essential characteristics of the job, with its principal accountabilities, incorporating a note of the skills, knowledge and experience required for a satisfactory level of performance. This is not intended to be a complete, detailed account of all aspects of the duties involved. We welcome applications from individuals, regardless of age, gender, ethnicity, disability, sexual orientation, gender identity, socio economic background, religion and/or belief. If you were to be offered this role, the BBC will conduct employment screening checks which include reference checks, eligibility to work checks, and, if applicable, safeguarding and adverse media checks. Any offer made is conditional on these checks being satisfactory.
Role: Data Engineer Location: Newcastle Upon Tyne Salary: TBC - Depending on experience Levels: Senior Analyst, Specialist Hybrid Working: 3 days per week in our Newcastle, Cobalt business park office Please Note: Any offer of employment is subject to satisfactory BPSS and SC security clearance which requires 5 years continuous UK address history (typically including no periods of 30 consecutive days or more spent outside of the UK) and declaration of being a British or EU passport holder or hold Indefinite Leave to remain within the UK at the point of application. Note: The above information relates to a specific client requirement About the Team Our Advanced Technology Centre is a hub of innovation where we deliver high quality data and technology services to clients across both the public and private sectors. If you're looking for a dynamic role that offers hands on experience with modern data technologies and the chance to shape large scale data solutions, this position offers you the opportunity to develop and progress rapidly. Role Overview As a Data Engineer, you will design, build, and maintain scalable data solutions that enable analytics, AI, and operational insights. You'll work alongside client and internal teams to create robust data pipelines, ensure data reliability, and support cloud based architectures that power intelligent decision making. Key Responsibilities Data Pipeline Development Build, optimize, and maintain scalable data pipelines using Java (primary), plus exposure to Python, Flink, Kafka, or Spark. Develop and support real time streaming pipelines and event driven integrations. Integrate data from multiple sources (streaming, batch, APIs) using AWS managed services (e.g., Kinesis, MSK, Lambda, Glue). Data Architecture & Standards Contribute to data modelling, data architecture best practices, and modern patterns (e.g., medallion architecture). Ensure data quality, lineage, governance, and security controls are applied consistently. DevOps & Deployment Deploy and maintain data applications using CI/CD tooling (Azure DevOps, GitHub Actions, Jenkins). Use Infrastructure as Code (Terraform, CloudFormation) to manage cloud environments. Work with container technologies such as Docker and Kubernetes based workloads. Collaboration Work closely with analytics, ML/AI, and product teams to deliver clean, well structured datasets. Participate in code reviews and internal knowledge sharing sessions. Provide guidance to junior engineers where needed. Qualification Core Data Engineering Strong programming proficiency in Java (preferred) or Python. Hands on experience with at least one of: Kafka, Flink, Spark (Flink/Kafka preferred for streaming). Solid understanding of stream processing concepts (e.g., event time, state, backpressure). Understanding of software engineering best practices: testing, design patterns, CI/CD, Git. Experience building ETL/ELT or streaming data pipelines. Exposure to microservices and distributed system concepts. Experience working with cloud platforms, ideally AWS, but Azure/GCP also acceptable. Understanding of distributed compute, large scale data systems, and performance considerations. DevOps & Engineering Practices Experience with CI/CD tools (Azure DevOps, GitHub Actions, Jenkins etc.). Infrastructure as Code (Terraform preferred). Experience with containerisation (Docker) and orchestration platforms (Kubernetes/EKS). Certifications & Tools Exposure to enterprise data platforms (Databricks, Snowflake, BigQuery, or similar). Cloud certifications (AWS, Azure, GCP) are beneficial but not required. Other Requirements Minimum 3 years' experience working on data engineering or large scale data solutions. Comfortable working in Agile delivery teams. Strong communication skills and ability to collaborate with technical and non technical stakeholders. Desirable Experience in client facing or consulting environments. Professional cloud or data engineering certifications. Experience mentoring or supporting junior engineers. Background in designing or operating real time, low latency systems.
24/06/2026
Full time
Role: Data Engineer Location: Newcastle Upon Tyne Salary: TBC - Depending on experience Levels: Senior Analyst, Specialist Hybrid Working: 3 days per week in our Newcastle, Cobalt business park office Please Note: Any offer of employment is subject to satisfactory BPSS and SC security clearance which requires 5 years continuous UK address history (typically including no periods of 30 consecutive days or more spent outside of the UK) and declaration of being a British or EU passport holder or hold Indefinite Leave to remain within the UK at the point of application. Note: The above information relates to a specific client requirement About the Team Our Advanced Technology Centre is a hub of innovation where we deliver high quality data and technology services to clients across both the public and private sectors. If you're looking for a dynamic role that offers hands on experience with modern data technologies and the chance to shape large scale data solutions, this position offers you the opportunity to develop and progress rapidly. Role Overview As a Data Engineer, you will design, build, and maintain scalable data solutions that enable analytics, AI, and operational insights. You'll work alongside client and internal teams to create robust data pipelines, ensure data reliability, and support cloud based architectures that power intelligent decision making. Key Responsibilities Data Pipeline Development Build, optimize, and maintain scalable data pipelines using Java (primary), plus exposure to Python, Flink, Kafka, or Spark. Develop and support real time streaming pipelines and event driven integrations. Integrate data from multiple sources (streaming, batch, APIs) using AWS managed services (e.g., Kinesis, MSK, Lambda, Glue). Data Architecture & Standards Contribute to data modelling, data architecture best practices, and modern patterns (e.g., medallion architecture). Ensure data quality, lineage, governance, and security controls are applied consistently. DevOps & Deployment Deploy and maintain data applications using CI/CD tooling (Azure DevOps, GitHub Actions, Jenkins). Use Infrastructure as Code (Terraform, CloudFormation) to manage cloud environments. Work with container technologies such as Docker and Kubernetes based workloads. Collaboration Work closely with analytics, ML/AI, and product teams to deliver clean, well structured datasets. Participate in code reviews and internal knowledge sharing sessions. Provide guidance to junior engineers where needed. Qualification Core Data Engineering Strong programming proficiency in Java (preferred) or Python. Hands on experience with at least one of: Kafka, Flink, Spark (Flink/Kafka preferred for streaming). Solid understanding of stream processing concepts (e.g., event time, state, backpressure). Understanding of software engineering best practices: testing, design patterns, CI/CD, Git. Experience building ETL/ELT or streaming data pipelines. Exposure to microservices and distributed system concepts. Experience working with cloud platforms, ideally AWS, but Azure/GCP also acceptable. Understanding of distributed compute, large scale data systems, and performance considerations. DevOps & Engineering Practices Experience with CI/CD tools (Azure DevOps, GitHub Actions, Jenkins etc.). Infrastructure as Code (Terraform preferred). Experience with containerisation (Docker) and orchestration platforms (Kubernetes/EKS). Certifications & Tools Exposure to enterprise data platforms (Databricks, Snowflake, BigQuery, or similar). Cloud certifications (AWS, Azure, GCP) are beneficial but not required. Other Requirements Minimum 3 years' experience working on data engineering or large scale data solutions. Comfortable working in Agile delivery teams. Strong communication skills and ability to collaborate with technical and non technical stakeholders. Desirable Experience in client facing or consulting environments. Professional cloud or data engineering certifications. Experience mentoring or supporting junior engineers. Background in designing or operating real time, low latency systems.
Job Description Technical Business Analyst Location: Newcastle Please note: Any offer of employment is subject to satisfactory BPSS and SC security clearance which requires 5 years continuous UK address history (typically including no periods of 30 consecutive days or more spent outside of the UK) at the point of application. The above information relates to a specific client requirement. Hybrid Working: This role will require you to work from our Newcastle, Cobalt Business Park office three days per week. You are invited to learn, grow and advance in an innovative environment that thrives on shared success, diverse thinking, and offers boundaryless opportunities to drive your career. Role Overview: We are seeking a Technical Business Analyst to join our software delivery team. In this role, you'll act as the bridge between business stakeholders and the development team, translating business requirements into clear, actionable technical specifications. Responsibilities Bridge the gap between IT and the business using data analytics to assess processes, elicit requirements and deliver data driven recommendations and reports to executives and stakeholders. Create functional designs, sequence diagrams, process flows, business rules catalogues and product backlog items to agree detailed requirements with client product owners and clearly communicate what needs to be developed and tested to the feature teams. Identify, analyse and complete complex business impact assessment across multiple business streams to understand the impact of the product/change. Prepare and co ordinate business activities to support large implementations. Ensure business is operationally ready to support the target operating model. Lead business change activities, building communications and designing training plans to support change. Support testing by reviewing scripts, triaging defects and assisting with test queries. Collaborate with UX/UI designers, developers, and testers throughout the software development lifecycle. Participate in and facilitate Agile ceremonies (sprint planning, backlog refinement, stand ups). Assist in prioritising the product backlog in alignment with value, risk, and dependencies. Identify and communicate technical constraints, risks, and dependencies to the team and stakeholders. Work with cross functional teams and roles including developers, testers, UX, product, live services, DevOps, and technical architects. Apply foundational knowledge of APIs, databases, and system integration concepts. Qualifications 1.5-5 years of experience as a Business Analyst in a software delivery or technology environment. Experience working with cross functional teams and roles (developers, testers, UX, product, live services, DevOps, technical architects). Basic understanding of APIs, databases, and system integration concepts. Establishing and implementing mechanisms to measure and deliver benefits. Ensuring that maximum improvements are made in existing and new business operations as groups of projects deliver their products into operational use. The ability to understand business change needs, and to assess the business impact of those changes, capturing, analysing and documenting requirements. Utilising one or more structured techniques for solution design such as Design Thinking, UML or BPMN. Utilising one or more tools such as JIRA, Confluence, Visio or Excel. Demonstrated experience with Agile (Scrum/Kanban) or Waterfall delivery. Experience delivering change in a number of industry areas, including the public sector. Strong proficiency in SQL for data extraction, transformation and analysis. Ability to independently analyse large datasets to identify trends, validate business requirements, and uncover data quality issues. Familiarity with enterprise platforms, cloud technologies (AWS, Azure, Salesforce) or GenAI. Familiarity with UX principles or wireframing tools (Figma, Balsamiq). Hold a professional BA Certification. Benefits At Accenture, you will receive a competitive basic salary, 25 days of vacation per year, private medical insurance, and an extra 3 days leave per year for charitable work of your choice. Flexibility and mobility are required; you may be required to spend time onsite with our clients and partners to deliver first class services.
24/06/2026
Full time
Job Description Technical Business Analyst Location: Newcastle Please note: Any offer of employment is subject to satisfactory BPSS and SC security clearance which requires 5 years continuous UK address history (typically including no periods of 30 consecutive days or more spent outside of the UK) at the point of application. The above information relates to a specific client requirement. Hybrid Working: This role will require you to work from our Newcastle, Cobalt Business Park office three days per week. You are invited to learn, grow and advance in an innovative environment that thrives on shared success, diverse thinking, and offers boundaryless opportunities to drive your career. Role Overview: We are seeking a Technical Business Analyst to join our software delivery team. In this role, you'll act as the bridge between business stakeholders and the development team, translating business requirements into clear, actionable technical specifications. Responsibilities Bridge the gap between IT and the business using data analytics to assess processes, elicit requirements and deliver data driven recommendations and reports to executives and stakeholders. Create functional designs, sequence diagrams, process flows, business rules catalogues and product backlog items to agree detailed requirements with client product owners and clearly communicate what needs to be developed and tested to the feature teams. Identify, analyse and complete complex business impact assessment across multiple business streams to understand the impact of the product/change. Prepare and co ordinate business activities to support large implementations. Ensure business is operationally ready to support the target operating model. Lead business change activities, building communications and designing training plans to support change. Support testing by reviewing scripts, triaging defects and assisting with test queries. Collaborate with UX/UI designers, developers, and testers throughout the software development lifecycle. Participate in and facilitate Agile ceremonies (sprint planning, backlog refinement, stand ups). Assist in prioritising the product backlog in alignment with value, risk, and dependencies. Identify and communicate technical constraints, risks, and dependencies to the team and stakeholders. Work with cross functional teams and roles including developers, testers, UX, product, live services, DevOps, and technical architects. Apply foundational knowledge of APIs, databases, and system integration concepts. Qualifications 1.5-5 years of experience as a Business Analyst in a software delivery or technology environment. Experience working with cross functional teams and roles (developers, testers, UX, product, live services, DevOps, technical architects). Basic understanding of APIs, databases, and system integration concepts. Establishing and implementing mechanisms to measure and deliver benefits. Ensuring that maximum improvements are made in existing and new business operations as groups of projects deliver their products into operational use. The ability to understand business change needs, and to assess the business impact of those changes, capturing, analysing and documenting requirements. Utilising one or more structured techniques for solution design such as Design Thinking, UML or BPMN. Utilising one or more tools such as JIRA, Confluence, Visio or Excel. Demonstrated experience with Agile (Scrum/Kanban) or Waterfall delivery. Experience delivering change in a number of industry areas, including the public sector. Strong proficiency in SQL for data extraction, transformation and analysis. Ability to independently analyse large datasets to identify trends, validate business requirements, and uncover data quality issues. Familiarity with enterprise platforms, cloud technologies (AWS, Azure, Salesforce) or GenAI. Familiarity with UX principles or wireframing tools (Figma, Balsamiq). Hold a professional BA Certification. Benefits At Accenture, you will receive a competitive basic salary, 25 days of vacation per year, private medical insurance, and an extra 3 days leave per year for charitable work of your choice. Flexibility and mobility are required; you may be required to spend time onsite with our clients and partners to deliver first class services.
Version 1 London, Birmingham, Manchester, Newcastle upon Tyne, Edinburgh, Belfast Job Description We are seeking an experienced AI Solution Architect to lead the design, architecture, and delivery of AI-powered solutions across client and internal projects. This role bridges business requirements, data science, software engineering, and cloud infrastructure to create scalable, secure, and production ready AI systems. The ideal candidate combines strong technical expertise with stakeholder management skills and can translate business challenges into practical AI solutions that deliver measurable value. Key Responsibilities Lead discovery workshops and requirements gathering with stakeholders. Design end to end AI solution architectures for Generative AI, Machine Learning, and Intelligent Automation initiatives. Define system integration patterns across enterprise applications, APIs, databases, and cloud services. Create technical architecture diagrams, solution designs, and implementation roadmaps. Evaluate AI technologies, platforms, and frameworks to recommend best fit solutions. AI Strategy & Advisory Advise clients and internal stakeholders on AI adoption strategies and use cases. Conduct AI feasibility assessments, proof of concepts, and technology evaluations. Develop responsible AI frameworks covering bias evaluation, model explainability, data privacy, and regulatory compliance including the EU AI Act. Identify opportunities for process optimisation through AI and automation. Delivery Leadership Provide technical leadership throughout project lifecycles. Collaborate with AI/ML Engineers, Data Scientists, Software Engineers, and Product Teams. Review solution designs and ensure alignment with enterprise architecture standards. Support deployment planning, risk management, and solution scalability across full delivery lifecycle. Stakeholder Management Present technical concepts to both technical and non technical audiences. Engage with executive stakeholders to align AI initiatives with business objectives. Produce solution proposals, statements of work, and technical documentation. Qualifications Technical Skills Strong understanding of Machine Learning and Generative AI architectures. Experience with Large Language Models (LLMs) and Retrieval Augmented Generation (RAG). Knowledge of AI orchestration frameworks such as: LangChain LlamaIndex Semantic Kernel CrewAI Cloud platform expertise in one or more of these areas: AWS Microsoft Azure Google Cloud Platform API design and microservices architecture. Data architecture and integration experience. Familiarity with knowledge graphs, vector databases and knowledge management systems. Generative AI Experience Design and scale LLM based applications, including multi model routing, context management, and cost/latency optimisation. Prompt engineering strategies. Agentic AI systems. RAG design patterns, including chunking strategies, re ranking, hybrid search, and evaluation. Evaluation and monitoring frameworks covering hallucination detection, relevance scoring, and production drift monitoring. AI safety, governance, and compliance. Human Centred AI Design Trust architecture: design confidence scoring and uncertainty communication frameworks so users understand when AI is offering a recommendation versus a definitive answer; implement explainability mechanisms that build trust through transparency whilst maintaining appropriate scepticism about AI outputs. Human oversight: define clear automation boundaries distinguishing fully automated processes from human in the loop workflows; mandate human review pathways for high risk decisions in line with EU AI Act requirements. Feedback and control: design mechanisms enabling users to challenge, correct, or escalat Professional Experience 7+ years in software engineering, solution architecture, data engineering, or AI related roles. 3+ years designing enterprise AI or ML solutions. Experience leading cross functional teams and client engagements. Additional Information Benefits Share in our success with our Quarterly Performance Related Profit Share Scheme. Strong career progression & mentorship coaching through our Strength in Balance & Leadership schemes with a dedicated quarterly Pathways Career Development programme. Flexible/remote working and support for life events and individual circumstances. Financial wellbeing initiatives including pension, private healthcare cover, life assurance, financial advice and an employee discount scheme. Employee wellbeing schemes including gym discounts, bike to work, fitness classes, mindfulness workshops, employee assistance programme and more; generous holiday allowance, enhanced maternity/paternity leave, marriage/civil partnership leave and special leave policies. Educational assistance, incentivised certifications and accreditations, including AWS, Microsoft, Oracle, and Red Hat. Reward schemes including Version 1's Annual Excellence Awards & 'Call Out' platform. Environment, Social and Community First initiatives allowing involvement in local fundraising and development opportunities. Version 1 is an equal opportunities employer. We are committed to building a diverse, inclusive and respectful workplace where everyone feels valued and able to thrive. We welcome applications from people of all backgrounds, identities and lived experiences, and we value the different perspectives people bring. If you need reasonable adjustments at any stage of the process, please contact . We will consider all requests carefully, respectfully and confidentially.
24/06/2026
Full time
Version 1 London, Birmingham, Manchester, Newcastle upon Tyne, Edinburgh, Belfast Job Description We are seeking an experienced AI Solution Architect to lead the design, architecture, and delivery of AI-powered solutions across client and internal projects. This role bridges business requirements, data science, software engineering, and cloud infrastructure to create scalable, secure, and production ready AI systems. The ideal candidate combines strong technical expertise with stakeholder management skills and can translate business challenges into practical AI solutions that deliver measurable value. Key Responsibilities Lead discovery workshops and requirements gathering with stakeholders. Design end to end AI solution architectures for Generative AI, Machine Learning, and Intelligent Automation initiatives. Define system integration patterns across enterprise applications, APIs, databases, and cloud services. Create technical architecture diagrams, solution designs, and implementation roadmaps. Evaluate AI technologies, platforms, and frameworks to recommend best fit solutions. AI Strategy & Advisory Advise clients and internal stakeholders on AI adoption strategies and use cases. Conduct AI feasibility assessments, proof of concepts, and technology evaluations. Develop responsible AI frameworks covering bias evaluation, model explainability, data privacy, and regulatory compliance including the EU AI Act. Identify opportunities for process optimisation through AI and automation. Delivery Leadership Provide technical leadership throughout project lifecycles. Collaborate with AI/ML Engineers, Data Scientists, Software Engineers, and Product Teams. Review solution designs and ensure alignment with enterprise architecture standards. Support deployment planning, risk management, and solution scalability across full delivery lifecycle. Stakeholder Management Present technical concepts to both technical and non technical audiences. Engage with executive stakeholders to align AI initiatives with business objectives. Produce solution proposals, statements of work, and technical documentation. Qualifications Technical Skills Strong understanding of Machine Learning and Generative AI architectures. Experience with Large Language Models (LLMs) and Retrieval Augmented Generation (RAG). Knowledge of AI orchestration frameworks such as: LangChain LlamaIndex Semantic Kernel CrewAI Cloud platform expertise in one or more of these areas: AWS Microsoft Azure Google Cloud Platform API design and microservices architecture. Data architecture and integration experience. Familiarity with knowledge graphs, vector databases and knowledge management systems. Generative AI Experience Design and scale LLM based applications, including multi model routing, context management, and cost/latency optimisation. Prompt engineering strategies. Agentic AI systems. RAG design patterns, including chunking strategies, re ranking, hybrid search, and evaluation. Evaluation and monitoring frameworks covering hallucination detection, relevance scoring, and production drift monitoring. AI safety, governance, and compliance. Human Centred AI Design Trust architecture: design confidence scoring and uncertainty communication frameworks so users understand when AI is offering a recommendation versus a definitive answer; implement explainability mechanisms that build trust through transparency whilst maintaining appropriate scepticism about AI outputs. Human oversight: define clear automation boundaries distinguishing fully automated processes from human in the loop workflows; mandate human review pathways for high risk decisions in line with EU AI Act requirements. Feedback and control: design mechanisms enabling users to challenge, correct, or escalat Professional Experience 7+ years in software engineering, solution architecture, data engineering, or AI related roles. 3+ years designing enterprise AI or ML solutions. Experience leading cross functional teams and client engagements. Additional Information Benefits Share in our success with our Quarterly Performance Related Profit Share Scheme. Strong career progression & mentorship coaching through our Strength in Balance & Leadership schemes with a dedicated quarterly Pathways Career Development programme. Flexible/remote working and support for life events and individual circumstances. Financial wellbeing initiatives including pension, private healthcare cover, life assurance, financial advice and an employee discount scheme. Employee wellbeing schemes including gym discounts, bike to work, fitness classes, mindfulness workshops, employee assistance programme and more; generous holiday allowance, enhanced maternity/paternity leave, marriage/civil partnership leave and special leave policies. Educational assistance, incentivised certifications and accreditations, including AWS, Microsoft, Oracle, and Red Hat. Reward schemes including Version 1's Annual Excellence Awards & 'Call Out' platform. Environment, Social and Community First initiatives allowing involvement in local fundraising and development opportunities. Version 1 is an equal opportunities employer. We are committed to building a diverse, inclusive and respectful workplace where everyone feels valued and able to thrive. We welcome applications from people of all backgrounds, identities and lived experiences, and we value the different perspectives people bring. If you need reasonable adjustments at any stage of the process, please contact . We will consider all requests carefully, respectfully and confidentially.
Senior Machine Learning Engineer About the Role We are looking for a Senior ML Engineer to take technical ownership of our machine learning production environment. You will lead the transition of experimental models into production-grade services that are reliable, scalable, and cost-effective. Your mission is to build the "highway" that allows our data science team to deploy models rapidly while ensuring those models are observable and fiscally responsible. You will own the entire ML lifecycle-from automated training pipelines to real-time inference clusters-and serve as a key software engineering contributor to our AI product stack. This is a hybrid role - three days per week in our Newcastle office. Key Responsibilities In this role your key responsibilities will be: Lifecycle & Pipeline Architecture Design and own the automated "Continuous Training" (CT) and deployment pipelines Architect reusable, modular infrastructure for model training and serving, ensuring the entire lifecycle is versioned and reproducible Software Engineering Best Practices Lead the team in adopting professional engineering standards Own the strategy for unit/integration testing, peer code reviews, and applying SOLID principles to ML codebases to ensure they remain modular and maintainable ML Observability Establish and own the telemetry framework for the AI stack Implement proactive monitoring for system health and model-specific metrics, such as data drift, concept drift, and prediction accuracy FinOps & Cost Management Own the strategy for AI cloud spend Build monitoring and alerting frameworks to track compute costs (training and inference) Implement optimization strategies like auto-scaling and spot-instance usage AI Systems Engineering Act as a lead software engineer to integrate models into the product ecosystem Develop high-performance, secure APIs and microservices that wrap our ML capabilities for production consumption Data & Model Governance Own the versioning strategy for the "Holy Trinity" of ML: code, data, and model artifacts Ensure clear documentation and audit trails for all production deployments What We're Looking For Essential Skills (Entry Requirements) Demonstrating strong software engineering fundamentals, including production-quality Python, testing, CI/CD practices, and version control Designing and operating reliable, versioned REST APIs using an API-first approach Building, deploying, and operating backend services in cloud environments, with AWS as the primary platform (experience on other major clouds considered transferable) Using containerisation and modern deployment approaches, including Docker, automated pipelines, and basic observability Working effectively with real-world data and production systems in collaboration with product, data, and platform teams Bringing either hands on experience delivering machine learning systems in production or a very strong software engineering background with clear motivation to grow into ML and MLOps Desirable Skills (Strong Differentiators) Using AWS SageMaker for training, deploying, and operating machine learning workloads, or demonstrating equivalent experience on similar cloud ML platforms Exposing machine learning models via APIs (e.g. FastAPI based inference services) and operating them reliably at scale Applying MLOps practices, including model and version management, monitoring, and handling model or data drift Implementing advanced service patterns such as asynchronous processing, event driven architectures, or multi version services Serving LLM or GenAI based capabilities in production, including model serving, RAG pipelines, and inference controls Designing reusable, platform level services and shared ML patterns rather than one off implementations Managing cloud operational trade offs, including cost efficiency, latency, scalability, and reliability Function: Service Fabric (Data and Developer Services) Country: United Kingdom Office Location: Newcastle Work Place Type: Hybrid
24/06/2026
Full time
Senior Machine Learning Engineer About the Role We are looking for a Senior ML Engineer to take technical ownership of our machine learning production environment. You will lead the transition of experimental models into production-grade services that are reliable, scalable, and cost-effective. Your mission is to build the "highway" that allows our data science team to deploy models rapidly while ensuring those models are observable and fiscally responsible. You will own the entire ML lifecycle-from automated training pipelines to real-time inference clusters-and serve as a key software engineering contributor to our AI product stack. This is a hybrid role - three days per week in our Newcastle office. Key Responsibilities In this role your key responsibilities will be: Lifecycle & Pipeline Architecture Design and own the automated "Continuous Training" (CT) and deployment pipelines Architect reusable, modular infrastructure for model training and serving, ensuring the entire lifecycle is versioned and reproducible Software Engineering Best Practices Lead the team in adopting professional engineering standards Own the strategy for unit/integration testing, peer code reviews, and applying SOLID principles to ML codebases to ensure they remain modular and maintainable ML Observability Establish and own the telemetry framework for the AI stack Implement proactive monitoring for system health and model-specific metrics, such as data drift, concept drift, and prediction accuracy FinOps & Cost Management Own the strategy for AI cloud spend Build monitoring and alerting frameworks to track compute costs (training and inference) Implement optimization strategies like auto-scaling and spot-instance usage AI Systems Engineering Act as a lead software engineer to integrate models into the product ecosystem Develop high-performance, secure APIs and microservices that wrap our ML capabilities for production consumption Data & Model Governance Own the versioning strategy for the "Holy Trinity" of ML: code, data, and model artifacts Ensure clear documentation and audit trails for all production deployments What We're Looking For Essential Skills (Entry Requirements) Demonstrating strong software engineering fundamentals, including production-quality Python, testing, CI/CD practices, and version control Designing and operating reliable, versioned REST APIs using an API-first approach Building, deploying, and operating backend services in cloud environments, with AWS as the primary platform (experience on other major clouds considered transferable) Using containerisation and modern deployment approaches, including Docker, automated pipelines, and basic observability Working effectively with real-world data and production systems in collaboration with product, data, and platform teams Bringing either hands on experience delivering machine learning systems in production or a very strong software engineering background with clear motivation to grow into ML and MLOps Desirable Skills (Strong Differentiators) Using AWS SageMaker for training, deploying, and operating machine learning workloads, or demonstrating equivalent experience on similar cloud ML platforms Exposing machine learning models via APIs (e.g. FastAPI based inference services) and operating them reliably at scale Applying MLOps practices, including model and version management, monitoring, and handling model or data drift Implementing advanced service patterns such as asynchronous processing, event driven architectures, or multi version services Serving LLM or GenAI based capabilities in production, including model serving, RAG pipelines, and inference controls Designing reusable, platform level services and shared ML patterns rather than one off implementations Managing cloud operational trade offs, including cost efficiency, latency, scalability, and reliability Function: Service Fabric (Data and Developer Services) Country: United Kingdom Office Location: Newcastle Work Place Type: Hybrid
Senior Machine Learning Engineer About the Role We are looking for a Senior ML Engineer to take technical ownership of our machine learning production environment. You will lead the transition of experimental models into production-grade services that are reliable, scalable, and cost-effective. Your mission is to build the "highway" that allows our data science team to deploy models rapidly while ensuring those models are observable and fiscally responsible. You will own the entire ML lifecycle-from automated training pipelines to real-time inference clusters-and serve as a key software engineering contributor to our AI product stack. This is a hybrid role - three days per week in our Newcastle office. Key Responsibilities In this role your key responsibilities will be: Lifecycle & Pipeline Architecture Design and own the automated "Continuous Training" (CT) and deployment pipelines Architect reusable, modular infrastructure for model training and serving, ensuring the entire lifecycle is versioned and reproducible Software Engineering Best Practices Lead the team in adopting professional engineering standards Own the strategy for unit/integration testing, peer code reviews, and applying SOLID principles to ML codebases to ensure they remain modular and maintainable ML Observability Establish and own the telemetry framework for the AI stack Implement proactive monitoring for system health and model-specific metrics, such as data drift, concept drift, and prediction accuracy FinOps & Cost Management Own the strategy for AI cloud spend Build monitoring and alerting frameworks to track compute costs (training and inference) Implement optimization strategies like auto-scaling and spot-instance usage AI Systems Engineering Act as a lead software engineer to integrate models into the product ecosystem Develop high-performance, secure APIs and microservices that wrap our ML capabilities for production consumption Data & Model Governance Own the versioning strategy for the "Holy Trinity" of ML: code, data, and model artifacts Ensure clear documentation and audit trails for all production deployments What We're Looking For Essential Skills (Entry Requirements) Demonstrating strong software engineering fundamentals, including production-quality Python, testing, CI/CD practices, and version control Designing and operating reliable, versioned REST APIs using an API-first approach Building, deploying, and operating backend services in cloud environments, with AWS as the primary platform (experience on other major clouds considered transferable) Using containerisation and modern deployment approaches, including Docker, automated pipelines, and basic observability Working effectively with real-world data and production systems in collaboration with product, data, and platform teams Bringing either hands on experience delivering machine learning systems in production or a very strong software engineering background with clear motivation to grow into ML and MLOps Desirable Skills (Strong Differentiators) Using AWS SageMaker for training, deploying, and operating machine learning workloads, or demonstrating equivalent experience on similar cloud ML platforms Exposing machine learning models via APIs (e.g. FastAPI based inference services) and operating them reliably at scale Applying MLOps practices, including model and version management, monitoring, and handling model or data drift Implementing advanced service patterns such as asynchronous processing, event driven architectures, or multi version services Serving LLM or GenAI based capabilities in production, including model serving, RAG pipelines, and inference controls Designing reusable, platform level services and shared ML patterns rather than one off implementations Managing cloud operational trade offs, including cost efficiency, latency, scalability, and reliability Function: Service Fabric (Data and Developer Services) Country: United Kingdom Office Location: Newcastle Work Place Type: Hybrid
24/06/2026
Full time
Senior Machine Learning Engineer About the Role We are looking for a Senior ML Engineer to take technical ownership of our machine learning production environment. You will lead the transition of experimental models into production-grade services that are reliable, scalable, and cost-effective. Your mission is to build the "highway" that allows our data science team to deploy models rapidly while ensuring those models are observable and fiscally responsible. You will own the entire ML lifecycle-from automated training pipelines to real-time inference clusters-and serve as a key software engineering contributor to our AI product stack. This is a hybrid role - three days per week in our Newcastle office. Key Responsibilities In this role your key responsibilities will be: Lifecycle & Pipeline Architecture Design and own the automated "Continuous Training" (CT) and deployment pipelines Architect reusable, modular infrastructure for model training and serving, ensuring the entire lifecycle is versioned and reproducible Software Engineering Best Practices Lead the team in adopting professional engineering standards Own the strategy for unit/integration testing, peer code reviews, and applying SOLID principles to ML codebases to ensure they remain modular and maintainable ML Observability Establish and own the telemetry framework for the AI stack Implement proactive monitoring for system health and model-specific metrics, such as data drift, concept drift, and prediction accuracy FinOps & Cost Management Own the strategy for AI cloud spend Build monitoring and alerting frameworks to track compute costs (training and inference) Implement optimization strategies like auto-scaling and spot-instance usage AI Systems Engineering Act as a lead software engineer to integrate models into the product ecosystem Develop high-performance, secure APIs and microservices that wrap our ML capabilities for production consumption Data & Model Governance Own the versioning strategy for the "Holy Trinity" of ML: code, data, and model artifacts Ensure clear documentation and audit trails for all production deployments What We're Looking For Essential Skills (Entry Requirements) Demonstrating strong software engineering fundamentals, including production-quality Python, testing, CI/CD practices, and version control Designing and operating reliable, versioned REST APIs using an API-first approach Building, deploying, and operating backend services in cloud environments, with AWS as the primary platform (experience on other major clouds considered transferable) Using containerisation and modern deployment approaches, including Docker, automated pipelines, and basic observability Working effectively with real-world data and production systems in collaboration with product, data, and platform teams Bringing either hands on experience delivering machine learning systems in production or a very strong software engineering background with clear motivation to grow into ML and MLOps Desirable Skills (Strong Differentiators) Using AWS SageMaker for training, deploying, and operating machine learning workloads, or demonstrating equivalent experience on similar cloud ML platforms Exposing machine learning models via APIs (e.g. FastAPI based inference services) and operating them reliably at scale Applying MLOps practices, including model and version management, monitoring, and handling model or data drift Implementing advanced service patterns such as asynchronous processing, event driven architectures, or multi version services Serving LLM or GenAI based capabilities in production, including model serving, RAG pipelines, and inference controls Designing reusable, platform level services and shared ML patterns rather than one off implementations Managing cloud operational trade offs, including cost efficiency, latency, scalability, and reliability Function: Service Fabric (Data and Developer Services) Country: United Kingdom Office Location: Newcastle Work Place Type: Hybrid
Choose a partner with intimate knowledge of your industry and first-hand experience of defining its future.Your locationYour locationIndustriesChoose a partner with intimate knowledge of your industry and first-hand experience of defining its future.Birmingham, London, Bristol, Newcastle, Manchester# Data EngineerThe Data Platforms team is part of the Insights and Data Global Practice and has seen strong growth and continued success across a variety of projects and sectors. Data Platforms is the home of the Data Engineers, Platform Engineers, Solutions Architects and Business Analysts who are focused on driving our customers digital and data transformation journey using the modern cloud platforms.We specialise on using the latest frameworks, reference architectures and technologies using AWS, Azure and GCP along with various data platforms like Databricks, Snowflake, Quantexa, Palantir, SAS. The Role You Are Considering As a Data Engineer, you will be an integral part of our team dedicated to building scalable and secure data platforms. You will leverage your expertise to design, develop, and implement data warehouses, data lakehouses, and AI/ML models that fuel our data-driven operations. Design and build high-performance data pipelines: to extract, transform, and load data into Cloud Data Lake Storage and other Cloud services. Develop and maintain secure data warehouses and data lakehouses: Implement data models, data quality checks, and governance practices to ensure reliable and accurate data. Implement ETL/ELT Processes: Develop Extract, Transform, Load (ETL) or Extract, Load, Transform (ELT) workflows to seamlessly move data from source systems to Data Warehouses, Data Lakes, and Lake Houses using Open Source and cloud tools.In addition to these core skills, you should have specialist experience in one or more of the following technologies Azure Databricks Design and build high-performance data pipelines: Utilize Databricks and Apache Spark to extract, transform, and load data into Azure Data Lake Storage and other Azure services. Experience of Databricks ML and Azure ML to develop predictive models and drive business insights. Proven expertise in Databricks, Apache Spark, and data pipeline development and strong understanding of data warehousing concepts and practices. Experience with Microsoft Azure cloud platform, including Azure Data Lake Storage, Databricks and Azure Data Factory. Azure Data Engineer Associate and Databricks Certified Data Engineer Professional AWS Proficiency with AWS Tools: Demonstrable experience using AWS Glue, AWS Lambda, Amazon Kinesis, Amazon EMR , Amazon Athena, Amazon DynamoDB, Amazon Cloudwatch, Amazon SNS and AWS Step Functions. Programming Skills: Strong experience with modern programming languages such as Python, Java, Scala & Pyspark. Expertise in Data Storage Technologies: In-depth knowledge of Data Warehouse, Database technologies, and Big Data Eco-system technologies such as AWS Redshift, AWS RDS, and Hadoop. Experience with AWS Data Lakes: Proven experience working with AWS data lakes on AWS S3 to store and process both structured and unstructured data sets Build and deploy AI/ML models: Integrate Machine Learning into data pipelines, leveraging ML to develop predictive models and drive business insights. Monitor and optimize data pipelines and infrastructure: Analyze performance metrics, identify bottlenecks, and implement optimizations for efficiency and scalability. Collaborate with cross-functional teams: Work closely with business analysts, data scientists, and DevOps engineers to ensure successful data platform implementations. Stay ahead of the curve: Continuously learn and adapt to the evolving landscape of big data technologies and best practices with a focus on how AI can support you in your delivery work Minimum 10+ years of experience as a Data Engineer or similar role. Proven expertise in the technologies below, and data pipeline development and strong understanding of data warehousing concepts and practices. Excellent problem-solving and analytical skills and strong communication and teamwork skills.Security Clearance: To be successfully appointed to this role, must be eligible to obtain Security Check (SC)clearance. To obtain SC clearance, the successful applicant must have resided continuously within the United Kingdom for the last 5 years, along with other criteria and requirements.Throughout the recruitment process, you will be asked questions about your security clearance eligibility such as, but not limited to, country of residence and nationality. Some posts are restricted to sole UK Nationals for security reasons; therefore, you may be asked about your citizenship in the application process.Hybrid working: The places that you work from day to day will vary according to your role, your needs, and those of the business; it will be a blend of Company offices, client sites, and your home; noting that you will be unable to work at home 100% of the time.If you are successfully offered this position, you will go through a series of pre-employment checks, including: identity, nationality (single or dual) or immigration status, employment history going back 3 continuous years, and unspent criminal record check (known as Disclosure and Barring Service) What we'll offer you You will be encouraged to have a positive work-life balance. Our hybrid-first way of working means we embed hybrid working in all that we do and make flexible working arrangements the day-to-day reality for our people. All UK employees are eligible to request flexible working arrangements.You will be empowered to explore, innovate, and progress. You will benefit from Capgemini's 'learning for life' mindset, meaning you will have countless training and development opportunities from thinktanks to hackathons, and access to 250,000 courses with numerous external certifications from AWS, Microsoft, Harvard Manage Mentor, Cybersecurity qualifications and much more. Why we're different At Capgemini, we help organisations across the world become more agile, more competitive, and more successful. Smart, tailored, often ground-breaking technical solutions to complex problems are the norm. But so, too, is a culture that's as collaborative as it is forward thinking. Working closely with each other, and with our clients, we get under the skin of businesses and to the heart of their goals. You will too. Capgemini is proud to represent nearly 130 nationalities and its cultural diversity. Our holistic definition of diversity extends beyond gender, gender identity, sexual orientation, disability, ethnicity, race, age, and religion. Capgemini views diversity as everything that makes us who we are as an organization, including our social background, our experiences in life and work, our communication styles and even our personality. These dimensions contribute to the type of diversity we value the most: diversity of thought.Experience levelExperienced ProfessionalsLocationBirmingham, London, Bristol, Newcastle, Manchester
23/06/2026
Full time
Choose a partner with intimate knowledge of your industry and first-hand experience of defining its future.Your locationYour locationIndustriesChoose a partner with intimate knowledge of your industry and first-hand experience of defining its future.Birmingham, London, Bristol, Newcastle, Manchester# Data EngineerThe Data Platforms team is part of the Insights and Data Global Practice and has seen strong growth and continued success across a variety of projects and sectors. Data Platforms is the home of the Data Engineers, Platform Engineers, Solutions Architects and Business Analysts who are focused on driving our customers digital and data transformation journey using the modern cloud platforms.We specialise on using the latest frameworks, reference architectures and technologies using AWS, Azure and GCP along with various data platforms like Databricks, Snowflake, Quantexa, Palantir, SAS. The Role You Are Considering As a Data Engineer, you will be an integral part of our team dedicated to building scalable and secure data platforms. You will leverage your expertise to design, develop, and implement data warehouses, data lakehouses, and AI/ML models that fuel our data-driven operations. Design and build high-performance data pipelines: to extract, transform, and load data into Cloud Data Lake Storage and other Cloud services. Develop and maintain secure data warehouses and data lakehouses: Implement data models, data quality checks, and governance practices to ensure reliable and accurate data. Implement ETL/ELT Processes: Develop Extract, Transform, Load (ETL) or Extract, Load, Transform (ELT) workflows to seamlessly move data from source systems to Data Warehouses, Data Lakes, and Lake Houses using Open Source and cloud tools.In addition to these core skills, you should have specialist experience in one or more of the following technologies Azure Databricks Design and build high-performance data pipelines: Utilize Databricks and Apache Spark to extract, transform, and load data into Azure Data Lake Storage and other Azure services. Experience of Databricks ML and Azure ML to develop predictive models and drive business insights. Proven expertise in Databricks, Apache Spark, and data pipeline development and strong understanding of data warehousing concepts and practices. Experience with Microsoft Azure cloud platform, including Azure Data Lake Storage, Databricks and Azure Data Factory. Azure Data Engineer Associate and Databricks Certified Data Engineer Professional AWS Proficiency with AWS Tools: Demonstrable experience using AWS Glue, AWS Lambda, Amazon Kinesis, Amazon EMR , Amazon Athena, Amazon DynamoDB, Amazon Cloudwatch, Amazon SNS and AWS Step Functions. Programming Skills: Strong experience with modern programming languages such as Python, Java, Scala & Pyspark. Expertise in Data Storage Technologies: In-depth knowledge of Data Warehouse, Database technologies, and Big Data Eco-system technologies such as AWS Redshift, AWS RDS, and Hadoop. Experience with AWS Data Lakes: Proven experience working with AWS data lakes on AWS S3 to store and process both structured and unstructured data sets Build and deploy AI/ML models: Integrate Machine Learning into data pipelines, leveraging ML to develop predictive models and drive business insights. Monitor and optimize data pipelines and infrastructure: Analyze performance metrics, identify bottlenecks, and implement optimizations for efficiency and scalability. Collaborate with cross-functional teams: Work closely with business analysts, data scientists, and DevOps engineers to ensure successful data platform implementations. Stay ahead of the curve: Continuously learn and adapt to the evolving landscape of big data technologies and best practices with a focus on how AI can support you in your delivery work Minimum 10+ years of experience as a Data Engineer or similar role. Proven expertise in the technologies below, and data pipeline development and strong understanding of data warehousing concepts and practices. Excellent problem-solving and analytical skills and strong communication and teamwork skills.Security Clearance: To be successfully appointed to this role, must be eligible to obtain Security Check (SC)clearance. To obtain SC clearance, the successful applicant must have resided continuously within the United Kingdom for the last 5 years, along with other criteria and requirements.Throughout the recruitment process, you will be asked questions about your security clearance eligibility such as, but not limited to, country of residence and nationality. Some posts are restricted to sole UK Nationals for security reasons; therefore, you may be asked about your citizenship in the application process.Hybrid working: The places that you work from day to day will vary according to your role, your needs, and those of the business; it will be a blend of Company offices, client sites, and your home; noting that you will be unable to work at home 100% of the time.If you are successfully offered this position, you will go through a series of pre-employment checks, including: identity, nationality (single or dual) or immigration status, employment history going back 3 continuous years, and unspent criminal record check (known as Disclosure and Barring Service) What we'll offer you You will be encouraged to have a positive work-life balance. Our hybrid-first way of working means we embed hybrid working in all that we do and make flexible working arrangements the day-to-day reality for our people. All UK employees are eligible to request flexible working arrangements.You will be empowered to explore, innovate, and progress. You will benefit from Capgemini's 'learning for life' mindset, meaning you will have countless training and development opportunities from thinktanks to hackathons, and access to 250,000 courses with numerous external certifications from AWS, Microsoft, Harvard Manage Mentor, Cybersecurity qualifications and much more. Why we're different At Capgemini, we help organisations across the world become more agile, more competitive, and more successful. Smart, tailored, often ground-breaking technical solutions to complex problems are the norm. But so, too, is a culture that's as collaborative as it is forward thinking. Working closely with each other, and with our clients, we get under the skin of businesses and to the heart of their goals. You will too. Capgemini is proud to represent nearly 130 nationalities and its cultural diversity. Our holistic definition of diversity extends beyond gender, gender identity, sexual orientation, disability, ethnicity, race, age, and religion. Capgemini views diversity as everything that makes us who we are as an organization, including our social background, our experiences in life and work, our communication styles and even our personality. These dimensions contribute to the type of diversity we value the most: diversity of thought.Experience levelExperienced ProfessionalsLocationBirmingham, London, Bristol, Newcastle, Manchester
Salary: £50,000 - 57,000 per year Requirements: Solid experience developing with C# and modern .NET (Core / .NET 6+) Strong understanding of microservices architecture Good knowledge of object-oriented programming principles, particularly polymorphism Experience with databases (SQL and/or NoSQL) Exposure to infrastructure as code (e.g., Terraform, ARM, Bicep, or similar) Experience with CI/CD pipelines (e.g., Azure DevOps, GitHub Actions, Jenkins) Comfortable working in agile development environments Experience working on greenfield projects Cloud platform experience (e.g., Azure, AWS) Knowledge of containerisation (Docker / Kubernetes) Passion or interest in tech-for-good initiatives Responsibilities: Design, develop, and maintain high-quality applications using C# and .NET Contribute to the architecture and development of a microservices-based system Apply strong object-oriented programming principles, including polymorphism and clean code practices Help build and optimise infrastructure-as-code (IaC) environments Work closely with DevOps practices, including CI/CD pipelines Collaborate with cross-functional teams to define and deliver features Contribute to technical decisions in a greenfield environment Ensure code quality through testing, reviews, and best practices Technologies: ARM AWS Azure C# CI/CD Cloud DevOps Docker GitHub Jenkins Kubernetes NoSQL SQL Terraform microservices ASP.NET More: We are a tech-for-good organisation building a greenfield application within a collaborative, forward-thinking engineering team. This is a meaningful opportunity to shape a product from the ground up and contribute to work with real societal impact. We offer hybrid working with 3 days in our office north of Newcastle, free parking, and 2 days from home, along with flexible working hours, a strong work-life balance, 28 days holiday plus bank holidays, a 12% employer pension contribution, and a modern, inclusive environment. last updated 25 week of 2026
21/06/2026
Full time
Salary: £50,000 - 57,000 per year Requirements: Solid experience developing with C# and modern .NET (Core / .NET 6+) Strong understanding of microservices architecture Good knowledge of object-oriented programming principles, particularly polymorphism Experience with databases (SQL and/or NoSQL) Exposure to infrastructure as code (e.g., Terraform, ARM, Bicep, or similar) Experience with CI/CD pipelines (e.g., Azure DevOps, GitHub Actions, Jenkins) Comfortable working in agile development environments Experience working on greenfield projects Cloud platform experience (e.g., Azure, AWS) Knowledge of containerisation (Docker / Kubernetes) Passion or interest in tech-for-good initiatives Responsibilities: Design, develop, and maintain high-quality applications using C# and .NET Contribute to the architecture and development of a microservices-based system Apply strong object-oriented programming principles, including polymorphism and clean code practices Help build and optimise infrastructure-as-code (IaC) environments Work closely with DevOps practices, including CI/CD pipelines Collaborate with cross-functional teams to define and deliver features Contribute to technical decisions in a greenfield environment Ensure code quality through testing, reviews, and best practices Technologies: ARM AWS Azure C# CI/CD Cloud DevOps Docker GitHub Jenkins Kubernetes NoSQL SQL Terraform microservices ASP.NET More: We are a tech-for-good organisation building a greenfield application within a collaborative, forward-thinking engineering team. This is a meaningful opportunity to shape a product from the ground up and contribute to work with real societal impact. We offer hybrid working with 3 days in our office north of Newcastle, free parking, and 2 days from home, along with flexible working hours, a strong work-life balance, 28 days holiday plus bank holidays, a 12% employer pension contribution, and a modern, inclusive environment. last updated 25 week of 2026
Data Engineer Role: Data Engineer Location: Newcastle Upon Tyne Salary: TBC - Depending on experience Levels: Senior Analyst, Specialist Hybrid Working: 3 days per week in our Newcastle, Cobalt business park office Please Note: Any offer of employment is subject to satisfactory BPSS and SC security clearance which requires 5 years continuous UK address history (typically including no periods of 30 consecutive days or more spent outside of the UK) and declaration of being a British or EU passport holder or hold Indefinite Leave to remain within the UK at the point of application. Role Overview As a Data Engineer, you will design, build, and maintain scalable data solutions that enable analytics, AI, and operational insights. You'll work alongside client and internal teams to create robust data pipelines, ensure data reliability, and support cloud based architectures that power intelligent decision making. Key Responsibilities Data Pipeline Development Build, optimize, and maintain scalable data pipelines using Java (primary), plus exposure to Python, Flink, Kafka, or Spark. Develop and support real time streaming pipelines and event driven integrations. Integrate data from multiple sources (streaming, batch, APIs) using AWS managed services (e.g., Kinesis, MSK, Lambda, Glue). Data Architecture & Standards Contribute to data modelling, data architecture best practices, and modern patterns (e.g., medallion architecture). Ensure data quality, lineage, governance, and security controls are applied consistently. DevOps & Deployment Deploy and maintain data applications using CI/CD tooling (Azure DevOps, GitHub Actions, Jenkins). Use Infrastructure as Code (e.g., Terraform, CloudFormation) to manage cloud environments. Work with container technologies such as Docker and Kubernetes based workloads. Collaboration Work closely with analytics, ML/AI, and product teams to deliver clean, well structured datasets. Participate in code reviews and internal knowledge sharing sessions. Provide guidance to junior engineers where needed. Core Data Engineering Strong programming proficiency in Java (preferred) or Python. Hands on experience with at least one of: Kafka, Flink, Spark (Flink/Kafka preferred for streaming). Solid understanding of stream processing concepts (e.g., event time, state, backpressure). Understanding of software engineering best practices: testing, design patterns, CI/CD, Git. Experience building ETL/ELT or streaming data pipelines. Exposure to microservices and distributed system concepts. Experience working with cloud platforms, ideally AWS, but Azure/GCP also acceptable. Understanding of distributed compute, large scale data systems, and performance considerations. DevOps & Engineering Practices Experience with CI/CD tools (Azure DevOps, GitHub Actions, Jenkins etc.). Infrastructure as Code (Terraform preferred). Experience with containerisation (Docker) and orchestration platforms (Kubernetes/EKS). Certifications & Tools Exposure to enterprise data platforms (Databricks, Snowflake, BigQuery, or similar). Cloud certifications (AWS, Azure, GCP) are beneficial but not required. Other Requirements Minimum 3 years' experience working on data engineering or large scale data solutions. Comfortable working in Agile delivery teams. Strong communication skills and ability to collaborate with technical and non technical stakeholders. Desirable Experience in client facing or consulting environments. Professional cloud or data engineering certifications. Experience mentoring or supporting junior engineers. Background in designing or operating real time, low latency systems.
21/06/2026
Full time
Data Engineer Role: Data Engineer Location: Newcastle Upon Tyne Salary: TBC - Depending on experience Levels: Senior Analyst, Specialist Hybrid Working: 3 days per week in our Newcastle, Cobalt business park office Please Note: Any offer of employment is subject to satisfactory BPSS and SC security clearance which requires 5 years continuous UK address history (typically including no periods of 30 consecutive days or more spent outside of the UK) and declaration of being a British or EU passport holder or hold Indefinite Leave to remain within the UK at the point of application. Role Overview As a Data Engineer, you will design, build, and maintain scalable data solutions that enable analytics, AI, and operational insights. You'll work alongside client and internal teams to create robust data pipelines, ensure data reliability, and support cloud based architectures that power intelligent decision making. Key Responsibilities Data Pipeline Development Build, optimize, and maintain scalable data pipelines using Java (primary), plus exposure to Python, Flink, Kafka, or Spark. Develop and support real time streaming pipelines and event driven integrations. Integrate data from multiple sources (streaming, batch, APIs) using AWS managed services (e.g., Kinesis, MSK, Lambda, Glue). Data Architecture & Standards Contribute to data modelling, data architecture best practices, and modern patterns (e.g., medallion architecture). Ensure data quality, lineage, governance, and security controls are applied consistently. DevOps & Deployment Deploy and maintain data applications using CI/CD tooling (Azure DevOps, GitHub Actions, Jenkins). Use Infrastructure as Code (e.g., Terraform, CloudFormation) to manage cloud environments. Work with container technologies such as Docker and Kubernetes based workloads. Collaboration Work closely with analytics, ML/AI, and product teams to deliver clean, well structured datasets. Participate in code reviews and internal knowledge sharing sessions. Provide guidance to junior engineers where needed. Core Data Engineering Strong programming proficiency in Java (preferred) or Python. Hands on experience with at least one of: Kafka, Flink, Spark (Flink/Kafka preferred for streaming). Solid understanding of stream processing concepts (e.g., event time, state, backpressure). Understanding of software engineering best practices: testing, design patterns, CI/CD, Git. Experience building ETL/ELT or streaming data pipelines. Exposure to microservices and distributed system concepts. Experience working with cloud platforms, ideally AWS, but Azure/GCP also acceptable. Understanding of distributed compute, large scale data systems, and performance considerations. DevOps & Engineering Practices Experience with CI/CD tools (Azure DevOps, GitHub Actions, Jenkins etc.). Infrastructure as Code (Terraform preferred). Experience with containerisation (Docker) and orchestration platforms (Kubernetes/EKS). Certifications & Tools Exposure to enterprise data platforms (Databricks, Snowflake, BigQuery, or similar). Cloud certifications (AWS, Azure, GCP) are beneficial but not required. Other Requirements Minimum 3 years' experience working on data engineering or large scale data solutions. Comfortable working in Agile delivery teams. Strong communication skills and ability to collaborate with technical and non technical stakeholders. Desirable Experience in client facing or consulting environments. Professional cloud or data engineering certifications. Experience mentoring or supporting junior engineers. Background in designing or operating real time, low latency systems.
Job Description Job Role: Data Science Associate Manager Location: London/Manchester/Edinburgh/Newcastle/Birmingham Career Level: Manager - ML8 We Are: Accenture Song accelerates growth and value for our clients through sustained customer relevance. Our capabilities span ideation to execution: growth, product and experience design; technology and experience platforms; creative, media and marketing strategy; and campaign, content and channel orchestration. With strong client relationships and deep industry expertise, we help our clients operate at the speed of life through the unlimited potential of imagination, technology and intelligence. Visit us at: The Data & AI team: The Data and AI revolution is changing everything. It's everywhere - transforming how we work and play. Join Accenture and help transform leading organisations and communities around the world. Accenture Data and AI is driving these exciting changes and bringing them to life across 40 industries in more than 120 countries. The sheer scale of our capabilities and client engagements and the way we collaborate with the ecosystem, operate and deliver value provides an unparalleled opportunity to grow and advance. Accenture's Data and AI practice covers the range of Data and AI skills, from Strategy, Data Science, Data Architecture, AI Engineering and Visual Insights. When combined with Accenture's broader Strategy and Consulting practice, we are able to bring together the unique ability to drive end to end business change through the application of Data and AI. You'll learn, grow and advance in an innovative culture that thrives on shared success, diverse ways of thinking and enables boundaryless opportunities that can drive your career in new and exciting ways. If you're looking for a challenging career working in a vibrant environment with access to training and a global network of experts, this could be the role for you. As part of our global team, you'll be working with cutting edge technologies and will have the opportunity to develop a wide range of new skills on the job. As a Data Science Associate Manager, you will: Shape Customer and Marketing Experiences w/ Generative AI solutions Be at the forefront of the industry - creating, owning, and making it a reality for clients looking to better serve their connected customers and operate always on enterprises. Contribute to initiatives that use data science and generative AI to improve customer and marketing experiences for clients. Support the development of data platforms, data products, and capabilities that empower analytics and AI teams. Assist senior leaders in shaping elements of the strategic direction for practice's data science and data engineering ecosystem. Help assess generative AI proposals by reviewing feasibility, data requirements, model considerations, and integration with existing technology stacks. Collaborate with digital teams, architects, and stakeholders to support & lead the design of enterprise AI and data science solutions. Deliver Real World Business Impact Drive and support real world solutions into production that drive measurable business value for our clients. Work alongside global teams to collaborate and deliver the best solutions for clients. Grow Your Expertise and Career Become an integral part of our team with the credibility, expertise, and insight clients depend on. Develop your skills with our world class training programmes. Drive your career progression through our structured career development programs. Work with industry partners to expand your exposure to modern data science tools and enterprise AI technologies. Collaborate with Global Brands Work with leading global brands and household names on impactful data science and AI use cases. Support the creation of reusable data science assets, feature stores, model templates, and best practice frameworks. Consult on complex analyses and advanced machine learning methods. Help prepare communication materials and support discussions with senior client leaders and technical teams. Contribute to shaping AI strategies and supporting delivery of LLM based and data science driven solutions. Operate across multiple industries and functions. Develop others by bringing your unique knowledge and skillsets to the wider practice. Qualification In this role you will: Define and Deliver Customer Centric Data Strategies Translate business needs into data science and analytics requirements, supporting the development of scalable data pipelines and model ready datasets. Work with senior architects and data science leaders to help define AI and data strategies aligned with client objectives. Contribute to the development and delivery of LLM based and ML based solutions that improve customer and marketing outcomes. Lead Generative AI Innovation and Prototyping Support early stage generative AI initiatives, helping design PoCs, prototypes, and model evaluation frameworks. Act as a knowledgeable resource on data science aspects of generative AI, collaborating with digital, platform, and governance stakeholders. Deploy and Scale AI Solutions Drive model deployment activities, including containerization, testing, performance monitoring, and MLOps processes. Help utilise cloud platforms (AWS, Azure, GCP) for scalable data science and generative AI deployments. Work with engineers to support the deployment of machine learning algorithms that deliver tangible business value. Ensure Responsible and Ethical AI Collaborate with cloud vendors to integrate Responsible AI principles and standards into LLM evaluations and applications, ensuring ethical and secure AI deployment. Evaluate generative AI solutions across teams, identifying technical risks such as debt accumulation and overlapping initiatives. Promote Innovation and Best Practices Contribute to the adoption of modern data science and AI technologies, including ML pipelines, feature engineering automation, and advanced data processing. Drive the creation of reusable data science assets, frameworks, and best practices. Assist in applying advanced machine learning techniques to solve complex business challenges. Lead Across Industries and Teams Support the delivery of AI driven customer and marketing transformations across industries. Help communicate insights and contribute to strategic discussions with clients and internal teams. Share data science knowledge and collaborating on best practices practice. Locations London Equal Employment Opportunity Statement All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law. Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process. Accenture is committed to providing veteran employment opportunities to our service men and women. Please read Accenture's Recruiting and Hiring Statement for more information on how we process your data during the Recruiting and Hiring process. About Accenture We work with one shared purpose: to deliver on the promise of technology and human ingenuity. Every day, more than 775,000 of us help our stakeholders continuously reinvent. Together, we drive positive change and deliver value to our clients, partners, shareholders, communities, and each other. We believe that delivering value requires innovation, and innovation thrives in an inclusive and diverse environment. We actively foster a workplace free from bias, where everyone feels a sense of belonging and is respected and empowered to do their best work. At Accenture, we see well being holistically, supporting our people's physical, mental, and financial health. We also provide opportunities to keep skills relevant through certifications, learning, and diverse work experiences. We're proud to be consistently recognized as one of the World's Best Workplaces . Join Accenture to work at the heart of change. Visit us at .
19/06/2026
Full time
Job Description Job Role: Data Science Associate Manager Location: London/Manchester/Edinburgh/Newcastle/Birmingham Career Level: Manager - ML8 We Are: Accenture Song accelerates growth and value for our clients through sustained customer relevance. Our capabilities span ideation to execution: growth, product and experience design; technology and experience platforms; creative, media and marketing strategy; and campaign, content and channel orchestration. With strong client relationships and deep industry expertise, we help our clients operate at the speed of life through the unlimited potential of imagination, technology and intelligence. Visit us at: The Data & AI team: The Data and AI revolution is changing everything. It's everywhere - transforming how we work and play. Join Accenture and help transform leading organisations and communities around the world. Accenture Data and AI is driving these exciting changes and bringing them to life across 40 industries in more than 120 countries. The sheer scale of our capabilities and client engagements and the way we collaborate with the ecosystem, operate and deliver value provides an unparalleled opportunity to grow and advance. Accenture's Data and AI practice covers the range of Data and AI skills, from Strategy, Data Science, Data Architecture, AI Engineering and Visual Insights. When combined with Accenture's broader Strategy and Consulting practice, we are able to bring together the unique ability to drive end to end business change through the application of Data and AI. You'll learn, grow and advance in an innovative culture that thrives on shared success, diverse ways of thinking and enables boundaryless opportunities that can drive your career in new and exciting ways. If you're looking for a challenging career working in a vibrant environment with access to training and a global network of experts, this could be the role for you. As part of our global team, you'll be working with cutting edge technologies and will have the opportunity to develop a wide range of new skills on the job. As a Data Science Associate Manager, you will: Shape Customer and Marketing Experiences w/ Generative AI solutions Be at the forefront of the industry - creating, owning, and making it a reality for clients looking to better serve their connected customers and operate always on enterprises. Contribute to initiatives that use data science and generative AI to improve customer and marketing experiences for clients. Support the development of data platforms, data products, and capabilities that empower analytics and AI teams. Assist senior leaders in shaping elements of the strategic direction for practice's data science and data engineering ecosystem. Help assess generative AI proposals by reviewing feasibility, data requirements, model considerations, and integration with existing technology stacks. Collaborate with digital teams, architects, and stakeholders to support & lead the design of enterprise AI and data science solutions. Deliver Real World Business Impact Drive and support real world solutions into production that drive measurable business value for our clients. Work alongside global teams to collaborate and deliver the best solutions for clients. Grow Your Expertise and Career Become an integral part of our team with the credibility, expertise, and insight clients depend on. Develop your skills with our world class training programmes. Drive your career progression through our structured career development programs. Work with industry partners to expand your exposure to modern data science tools and enterprise AI technologies. Collaborate with Global Brands Work with leading global brands and household names on impactful data science and AI use cases. Support the creation of reusable data science assets, feature stores, model templates, and best practice frameworks. Consult on complex analyses and advanced machine learning methods. Help prepare communication materials and support discussions with senior client leaders and technical teams. Contribute to shaping AI strategies and supporting delivery of LLM based and data science driven solutions. Operate across multiple industries and functions. Develop others by bringing your unique knowledge and skillsets to the wider practice. Qualification In this role you will: Define and Deliver Customer Centric Data Strategies Translate business needs into data science and analytics requirements, supporting the development of scalable data pipelines and model ready datasets. Work with senior architects and data science leaders to help define AI and data strategies aligned with client objectives. Contribute to the development and delivery of LLM based and ML based solutions that improve customer and marketing outcomes. Lead Generative AI Innovation and Prototyping Support early stage generative AI initiatives, helping design PoCs, prototypes, and model evaluation frameworks. Act as a knowledgeable resource on data science aspects of generative AI, collaborating with digital, platform, and governance stakeholders. Deploy and Scale AI Solutions Drive model deployment activities, including containerization, testing, performance monitoring, and MLOps processes. Help utilise cloud platforms (AWS, Azure, GCP) for scalable data science and generative AI deployments. Work with engineers to support the deployment of machine learning algorithms that deliver tangible business value. Ensure Responsible and Ethical AI Collaborate with cloud vendors to integrate Responsible AI principles and standards into LLM evaluations and applications, ensuring ethical and secure AI deployment. Evaluate generative AI solutions across teams, identifying technical risks such as debt accumulation and overlapping initiatives. Promote Innovation and Best Practices Contribute to the adoption of modern data science and AI technologies, including ML pipelines, feature engineering automation, and advanced data processing. Drive the creation of reusable data science assets, frameworks, and best practices. Assist in applying advanced machine learning techniques to solve complex business challenges. Lead Across Industries and Teams Support the delivery of AI driven customer and marketing transformations across industries. Help communicate insights and contribute to strategic discussions with clients and internal teams. Share data science knowledge and collaborating on best practices practice. Locations London Equal Employment Opportunity Statement All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law. Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process. Accenture is committed to providing veteran employment opportunities to our service men and women. Please read Accenture's Recruiting and Hiring Statement for more information on how we process your data during the Recruiting and Hiring process. About Accenture We work with one shared purpose: to deliver on the promise of technology and human ingenuity. Every day, more than 775,000 of us help our stakeholders continuously reinvent. Together, we drive positive change and deliver value to our clients, partners, shareholders, communities, and each other. We believe that delivering value requires innovation, and innovation thrives in an inclusive and diverse environment. We actively foster a workplace free from bias, where everyone feels a sense of belonging and is respected and empowered to do their best work. At Accenture, we see well being holistically, supporting our people's physical, mental, and financial health. We also provide opportunities to keep skills relevant through certifications, learning, and diverse work experiences. We're proud to be consistently recognized as one of the World's Best Workplaces . Join Accenture to work at the heart of change. Visit us at .
.NET Developer - Global Phenomenon - Newcastle upon Tyne, Tyne and Wear (Tech stack: .NET Developer, .NET 10.0, ASP.NET Core, C# 14, .NET Aspire, CI/CD, Azure DevOps, EF Core 10.0, Agile, HTML Living Standard, CSS Living Standard, Programmer, Full Stack Engineer, Architect, .NET Developer) Our client has created a global phenomenon, connecting people online to unique travel experiences, in more than 60,000 cities and 180 countries. As they approach their 10th anniversary they are looking to produce a revolutionary set of products and services that will transform the travel industry beyond recognition. For our client, engineering is not just a job but a practice that they want to perfect. They aim to keep their systems modular, their code clean, and their documentation clear, and they follow the idea of leaving things better than how you found it. It is not just about the code - putting the right processes and tools in place to make developers happy and efficient is important to our client because it gives their .NET Developer the time to focus on polishing the product. Working on a new payment solution, you will be given the opportunity to operate at all levels of the stack: the UIs that allow people all over the world to pay and get paid in their locally preferred methods, the APIs and processor integrations to send payment instructions to their wide network of partners, the offline reporting and reconciliation pipelines that ensure financial data integrity and allow the business to operate, and more. We are seeking .NET Developer with a strong grasp of object orientated development principles and sound knowledge of: .NET, .NET Core, C# and Azure SQL. You will receive industry recognized training in all aspects of: .NET 10.0, C# 14, .NET Aspire, CI/CD, Azure DevOps, EF Core 10.0, Agile, HTML Living Standard, CSS Living Standard. Solid, DRY, LINQ and MongoDB. Our client offers a structured career progression programme. It is common place for developers within their firm to receive their first promotion (and pay rise!) within 6 months of joining. All positions come with the following benefits: Company shares Bonus (typically 20%) Pension (11%) Private medical healthcare (family plan included) 27 days holiday Quarterly employee travel coupon Community involvement (4 hours per month to give back to the community) Much more No global movement springs from individuals. It takes an entire team united behind something big. Together, they work hard, they laugh a lot, they brainstorm nonstop, they use hundreds of Post-Its a week, and they give the best high-fives in town. If you are interested in being a part of this movement please apply today! Location: Newcastle upon Tyne, Tyne and Wear, UK / Remote Working Salary: £45,000 - £85,000 + Bonus + Pension + Benefits Applicants must be based in the UK and have the right to work in the UK even though remote working is available. Noir continues to be the leading Microsoft recruitment agency; we can help you make the right career decisions! NOIRUKNETRECNOIRUKREC NC/RC/NEWET
19/06/2026
Full time
.NET Developer - Global Phenomenon - Newcastle upon Tyne, Tyne and Wear (Tech stack: .NET Developer, .NET 10.0, ASP.NET Core, C# 14, .NET Aspire, CI/CD, Azure DevOps, EF Core 10.0, Agile, HTML Living Standard, CSS Living Standard, Programmer, Full Stack Engineer, Architect, .NET Developer) Our client has created a global phenomenon, connecting people online to unique travel experiences, in more than 60,000 cities and 180 countries. As they approach their 10th anniversary they are looking to produce a revolutionary set of products and services that will transform the travel industry beyond recognition. For our client, engineering is not just a job but a practice that they want to perfect. They aim to keep their systems modular, their code clean, and their documentation clear, and they follow the idea of leaving things better than how you found it. It is not just about the code - putting the right processes and tools in place to make developers happy and efficient is important to our client because it gives their .NET Developer the time to focus on polishing the product. Working on a new payment solution, you will be given the opportunity to operate at all levels of the stack: the UIs that allow people all over the world to pay and get paid in their locally preferred methods, the APIs and processor integrations to send payment instructions to their wide network of partners, the offline reporting and reconciliation pipelines that ensure financial data integrity and allow the business to operate, and more. We are seeking .NET Developer with a strong grasp of object orientated development principles and sound knowledge of: .NET, .NET Core, C# and Azure SQL. You will receive industry recognized training in all aspects of: .NET 10.0, C# 14, .NET Aspire, CI/CD, Azure DevOps, EF Core 10.0, Agile, HTML Living Standard, CSS Living Standard. Solid, DRY, LINQ and MongoDB. Our client offers a structured career progression programme. It is common place for developers within their firm to receive their first promotion (and pay rise!) within 6 months of joining. All positions come with the following benefits: Company shares Bonus (typically 20%) Pension (11%) Private medical healthcare (family plan included) 27 days holiday Quarterly employee travel coupon Community involvement (4 hours per month to give back to the community) Much more No global movement springs from individuals. It takes an entire team united behind something big. Together, they work hard, they laugh a lot, they brainstorm nonstop, they use hundreds of Post-Its a week, and they give the best high-fives in town. If you are interested in being a part of this movement please apply today! Location: Newcastle upon Tyne, Tyne and Wear, UK / Remote Working Salary: £45,000 - £85,000 + Bonus + Pension + Benefits Applicants must be based in the UK and have the right to work in the UK even though remote working is available. Noir continues to be the leading Microsoft recruitment agency; we can help you make the right career decisions! NOIRUKNETRECNOIRUKREC NC/RC/NEWET
Overview Applications Technical Lead - Based in Newcastle - £80k up to £90k plus car or car allowance, plus bonus, pension, healthcare. Right across infrastructure, there's a requirement to not only maintain, but also renew and reimagine. Newcastle office based two days per week - home based the rest. Key tech & systems/application experience GitHub Copilot experience is essential Azure DevOps experience is essential SDLC experience is a must This role will suit a Senior Developer and/or Tech Lead who can manage a team of three .NET/Oracle and SQL skilled developers. Plus, work closely with an outsourced development partner. Experience of this would be a massive bonus. Essential skills & experience Strong technical understanding of business platforms Strong knowledge of .NET/SQL & Oracle Solid experience with enterprise integration patterns, API design, asynchronous messaging and data synchronisation Proven experience providing technical leadership across onshore and offshore teams, including line management responsibility Track record of improving engineering quality, release readiness and handover into live service Strong ability to review designs, identify risks and ensure solutions meet clear quality standards Good understanding of DevOps, CI/CD, secure design and modern delivery practices Experience working in blended delivery environments including permanent teams, contractors and System Integrators Strong communication skills with the ability to influence and guide stakeholders at different levels Desirable experience Experience working on large scale enterprise programmes or platform transformations Broad understanding of architecture across data, mobile and security domains Familiarity with ITIL aligned operating models or service transition practices Core responsibilities Define and maintain engineering standards, patterns and guardrails across business platforms, ensuring consistency in how solutions are designed and delivered Review and assure solution designs, identifying risks, poor practices or gaps, and supporting better decisions before build begins Assess delivery quality and readiness, ensuring solutions are maintainable, testable and prepared for smooth transition into live service Provide technical leadership across mixed delivery teams, acting as an escalation point and guiding engineering quality through influence and clarity Support release and transition readiness, ensuring documentation, knowledge transfer and support expectations are in place Work closely with engineering, product and operational teams to maintain alignment across design, build and ongoing support Where will you be working? There is little we don't do and plenty to get involved in. Our Group Support roles are vital in making sure we can help over 11,000 people deliver essential infrastructure seamlessly across water, energy, transport and telecom. What's in it for you? We offer a range of benefits designed to support your life in and out of work, some of which include: Matched or contributory pension scheme Online GP service, 24 hours a day, 365 days a year Employee assistance programme My Rewards portal, access to 1000's of retail discounts Life assurance Cycle to work, salary finance and give as you earn schemes Enhanced maternity, paternity leave and adoption leave Reward and recognition scheme Company car (or allowance) and fuel card with a range of EV and hybrid vehicles to choose from My Car Choice - salary sacrifice EV/Hybrid car scheme Private health care and health care cash plan for you (and your family) Discretionary bonus scheme 25 days annual leave plus bank holidays Recommend a friend - get rewarded for introducing people to us! Please note you will receive an automated response advising you that we have received your CV. We are committed to ensuring that all job applicants are treated equally, without discrimination because of gender, sexual orientation, marital or civil partner status, gender reassignment, race, colour, nationality, ethnic or national origin, religion or belief, disability or age.
18/06/2026
Full time
Overview Applications Technical Lead - Based in Newcastle - £80k up to £90k plus car or car allowance, plus bonus, pension, healthcare. Right across infrastructure, there's a requirement to not only maintain, but also renew and reimagine. Newcastle office based two days per week - home based the rest. Key tech & systems/application experience GitHub Copilot experience is essential Azure DevOps experience is essential SDLC experience is a must This role will suit a Senior Developer and/or Tech Lead who can manage a team of three .NET/Oracle and SQL skilled developers. Plus, work closely with an outsourced development partner. Experience of this would be a massive bonus. Essential skills & experience Strong technical understanding of business platforms Strong knowledge of .NET/SQL & Oracle Solid experience with enterprise integration patterns, API design, asynchronous messaging and data synchronisation Proven experience providing technical leadership across onshore and offshore teams, including line management responsibility Track record of improving engineering quality, release readiness and handover into live service Strong ability to review designs, identify risks and ensure solutions meet clear quality standards Good understanding of DevOps, CI/CD, secure design and modern delivery practices Experience working in blended delivery environments including permanent teams, contractors and System Integrators Strong communication skills with the ability to influence and guide stakeholders at different levels Desirable experience Experience working on large scale enterprise programmes or platform transformations Broad understanding of architecture across data, mobile and security domains Familiarity with ITIL aligned operating models or service transition practices Core responsibilities Define and maintain engineering standards, patterns and guardrails across business platforms, ensuring consistency in how solutions are designed and delivered Review and assure solution designs, identifying risks, poor practices or gaps, and supporting better decisions before build begins Assess delivery quality and readiness, ensuring solutions are maintainable, testable and prepared for smooth transition into live service Provide technical leadership across mixed delivery teams, acting as an escalation point and guiding engineering quality through influence and clarity Support release and transition readiness, ensuring documentation, knowledge transfer and support expectations are in place Work closely with engineering, product and operational teams to maintain alignment across design, build and ongoing support Where will you be working? There is little we don't do and plenty to get involved in. Our Group Support roles are vital in making sure we can help over 11,000 people deliver essential infrastructure seamlessly across water, energy, transport and telecom. What's in it for you? We offer a range of benefits designed to support your life in and out of work, some of which include: Matched or contributory pension scheme Online GP service, 24 hours a day, 365 days a year Employee assistance programme My Rewards portal, access to 1000's of retail discounts Life assurance Cycle to work, salary finance and give as you earn schemes Enhanced maternity, paternity leave and adoption leave Reward and recognition scheme Company car (or allowance) and fuel card with a range of EV and hybrid vehicles to choose from My Car Choice - salary sacrifice EV/Hybrid car scheme Private health care and health care cash plan for you (and your family) Discretionary bonus scheme 25 days annual leave plus bank holidays Recommend a friend - get rewarded for introducing people to us! Please note you will receive an automated response advising you that we have received your CV. We are committed to ensuring that all job applicants are treated equally, without discrimination because of gender, sexual orientation, marital or civil partner status, gender reassignment, race, colour, nationality, ethnic or national origin, religion or belief, disability or age.
Job DescriptionWe are looking for a Senior ML Engineer to take technical ownership of our machine learning production environment. You will lead the transition of experimental models into production-grade services that are reliable, scalable, and cost-effective. Your mission is to build the "highway" that allows our data science team to deploy models rapidly while ensuring those models are observable and fiscally responsible. You will own the entire ML lifecycle-from automated training pipelines to real-time inference clusters-and serve as a key software engineering contributor to our AI product stack.This is a hybrid role - three days per week in our Newcastle office.Key ResponsibilitiesIn this role your key responsibilities will be:Lifecycle & Pipeline Architecture: Design and own the automated "Continuous Training" (CT) and deployment pipelines. Architect reusable, modular infrastructure for model training and serving, ensuring the entire lifecycle is versioned and reproducible.Software Engineering Best Practices: Lead the team in adopting professional engineering standards. This includes owning the strategy for unit/integration testing, peer code reviews, and applying SOLID principles to ML codebases to ensure they remain modular and maintainable.ML Observability: Establish and own the telemetry framework for the AI stack. Implement proactive monitoring for system health and model-specific metrics, such as data drift, concept drift, and prediction accuracy.FinOps & Cost Management: Own the strategy for AI cloud spend. Build monitoring and alerting frameworks to track compute costs (training and inference) and implement optimization strategies like auto-scaling and spot-instance usage.AI Systems Engineering: Act as a lead software engineer to integrate models into the product ecosystem. Develop high-performance, secure APIs and microservices that wrap our ML capabilities for production consumption.Data & Model Governance: Own the versioning strategy for the "Holy Trinity" of ML: code, data, and model artifacts. Ensure clear documentation and audit trails for all production deployments.What we're looking for:Essential skills (entry requirements):Demonstrating strong software engineering fundamentals, including production quality Python, testing, CI/CD practices, and version controlDesigning and operating reliable, versioned REST APIs using an API first approachBuilding, deploying, and operating backend services in cloud environments, with AWS as the primary platform (experience on other major clouds considered transferable)Using containerisation and modern deployment approaches, including Docker, automated pipelines, and basic observabilityWorking effectively with real world data and production systems in collaboration with product, data, and platform teamsBringing either hands on experience delivering machine learning systems in production or a very strong software engineering background with clear motivation to grow into ML and MLOpsDesirable skills (strong differentiators):Using AWS SageMaker for training, deploying, and operating machine learning workloads, or demonstrating equivalent experience on similar cloud ML platformsExposing machine learning models via APIs (e.g. FastAPI based inference services) and operating them reliably at scaleApplying MLOps practices, including model and version management, monitoring, and handling model or data driftImplementing advanced service patterns such as asynchronous processing, event driven architectures, or multi version servicesServing LLM or GenAI based capabilities in production, including model serving, RAG pipelines, and inference controlsDesigning reusable, platform level services and shared ML patterns rather than one off implementationsManaging cloud operational trade offs, including cost efficiency, latency, scalability, and reliability
15/06/2026
Full time
Job DescriptionWe are looking for a Senior ML Engineer to take technical ownership of our machine learning production environment. You will lead the transition of experimental models into production-grade services that are reliable, scalable, and cost-effective. Your mission is to build the "highway" that allows our data science team to deploy models rapidly while ensuring those models are observable and fiscally responsible. You will own the entire ML lifecycle-from automated training pipelines to real-time inference clusters-and serve as a key software engineering contributor to our AI product stack.This is a hybrid role - three days per week in our Newcastle office.Key ResponsibilitiesIn this role your key responsibilities will be:Lifecycle & Pipeline Architecture: Design and own the automated "Continuous Training" (CT) and deployment pipelines. Architect reusable, modular infrastructure for model training and serving, ensuring the entire lifecycle is versioned and reproducible.Software Engineering Best Practices: Lead the team in adopting professional engineering standards. This includes owning the strategy for unit/integration testing, peer code reviews, and applying SOLID principles to ML codebases to ensure they remain modular and maintainable.ML Observability: Establish and own the telemetry framework for the AI stack. Implement proactive monitoring for system health and model-specific metrics, such as data drift, concept drift, and prediction accuracy.FinOps & Cost Management: Own the strategy for AI cloud spend. Build monitoring and alerting frameworks to track compute costs (training and inference) and implement optimization strategies like auto-scaling and spot-instance usage.AI Systems Engineering: Act as a lead software engineer to integrate models into the product ecosystem. Develop high-performance, secure APIs and microservices that wrap our ML capabilities for production consumption.Data & Model Governance: Own the versioning strategy for the "Holy Trinity" of ML: code, data, and model artifacts. Ensure clear documentation and audit trails for all production deployments.What we're looking for:Essential skills (entry requirements):Demonstrating strong software engineering fundamentals, including production quality Python, testing, CI/CD practices, and version controlDesigning and operating reliable, versioned REST APIs using an API first approachBuilding, deploying, and operating backend services in cloud environments, with AWS as the primary platform (experience on other major clouds considered transferable)Using containerisation and modern deployment approaches, including Docker, automated pipelines, and basic observabilityWorking effectively with real world data and production systems in collaboration with product, data, and platform teamsBringing either hands on experience delivering machine learning systems in production or a very strong software engineering background with clear motivation to grow into ML and MLOpsDesirable skills (strong differentiators):Using AWS SageMaker for training, deploying, and operating machine learning workloads, or demonstrating equivalent experience on similar cloud ML platformsExposing machine learning models via APIs (e.g. FastAPI based inference services) and operating them reliably at scaleApplying MLOps practices, including model and version management, monitoring, and handling model or data driftImplementing advanced service patterns such as asynchronous processing, event driven architectures, or multi version servicesServing LLM or GenAI based capabilities in production, including model serving, RAG pipelines, and inference controlsDesigning reusable, platform level services and shared ML patterns rather than one off implementationsManaging cloud operational trade offs, including cost efficiency, latency, scalability, and reliability
A career without limits NOTE: This position can be based in London or Newcastle - please let us know if you have a preference during your application. As the nation's flag carrier, we take great pride in connecting Britain with the world and the world with Britain. It's something we've been doing for over 100 years, ever since we launched the world's first international scheduled air service between London and Paris. This originality has been in our blood since day one. It's the spirit we share with the people that fly with us, our partners, and our colleagues. So, whether you are a reassuring voice on the end of a phone, a smile at the door, under a wing keeping the turbines spinning or landing us gently in far flung places, a job at British Airways is yours to make. We know great things can happen when you're inspired to think big and bring your ambition to work every day, which is why, at British Airways, the sky is never the limit. The role Technical Specialist - PCI As a Technical Specialist within Digital Delivery, you'll play a critical role in ensuring payment compliance standards, policies and processes are met and maintained across customer and commercial systems. This is a hands on technical role. You'll be expected to bring strong practical experience of payments, tokenisation and card data environments, and the technical credibility to work directly with delivery and product teams on how compliance is designed, implemented and evidenced within real systems. What you'll do Provide technical assurance that payment related technologies meet internal and industry PCI compliance standards across digital delivery Work hands on with card and payment technologies, supporting delivery teams to design, build and maintain compliant solutions Translate internal and external compliance standards into practical technical solutions and delivery practices Support product and delivery teams in identifying and remediating compliance issues arising from new or updated standards Provide clear, concise reporting on compliance related delivery to digital leadership and contribute to future planning cycles Enable product and delivery teams to meet compliance standards in a self sufficient and sustainable way Identify and drive improvements in compliance related tooling, practices and ways of working Ensure roles and responsibilities for maintaining compliance are clearly understood across digital delivery Provide day to day technical guidance and governance on payments compliance Support the transition of compliance practices into application and product teams Track emerging technologies relevant to payments compliance and support adoption of value adding solutions aligned to architecture and cyber governance What you'll bring to British Airways Strong hands on technical expertise in payments and PCI compliance, with the ability to engage directly on system design and implementation In depth, up to date knowledge of tokenisation applications and card data environments in complex technology stacks Technical credibility to provide clear direction to delivery teams on compliant solutions Ability to translate compliance standards into workable technical outcomes Strong problem solving and analytical skills Clear, confident communicator able to explain complex compliance concepts to varied audiences Collaborative mindset with a passion for improving ways of working and tooling Your experience Engineering or architectural experience in technologies such as XML, Python and preferably Linux (e.g. Red Hat) or Java, within card data or tokenisation environments Hands on experience with AWS and, ideally, network services within segmented network environments Proven experience designing, building and deploying technical solutions that support payments compliance Experience working in Agile or DevSecOps environments alongside product and delivery teams Experience providing technical evidence of compliance to audit teams Track record of working across a broad stakeholder group to embed assurance into delivery What we offer We believe that all the people who work with us should feel valued for the part they play. It's one of the reasons our rewards go far beyond a competitive salary. From the day you join us, you'll get access to brilliant staff travel benefits including unlimited basic and premium standby tickets on British Airways flights. You'll also receive up to 30 discounted 'Hotline' airfares per year for yourself, friends, and family. At British Airways you'll have the chance to take on new challenges and move forward in a way that feels right for you. We encourage all those who work for us to consider opportunities right across our business to help you develop and progress. We never stand still, and we don't expect our people to either. Inclusion & Diversity At British Airways we all have a part to play in creating an inclusive place to work. Diverse representation among our people is really important to us and we recognise that all our colleagues are uniquely different and bring their own originality, creativity and identity to work. Inclusion and diversity is a key driver of innovation and we're committed to creating a culture where everyone feels that they can be themselves. We're looking for people from all backgrounds and cultures to join us and be a part of our journey to become a Better BA as we continue to connect Britain with the world and the world with Britain.
14/06/2026
Full time
A career without limits NOTE: This position can be based in London or Newcastle - please let us know if you have a preference during your application. As the nation's flag carrier, we take great pride in connecting Britain with the world and the world with Britain. It's something we've been doing for over 100 years, ever since we launched the world's first international scheduled air service between London and Paris. This originality has been in our blood since day one. It's the spirit we share with the people that fly with us, our partners, and our colleagues. So, whether you are a reassuring voice on the end of a phone, a smile at the door, under a wing keeping the turbines spinning or landing us gently in far flung places, a job at British Airways is yours to make. We know great things can happen when you're inspired to think big and bring your ambition to work every day, which is why, at British Airways, the sky is never the limit. The role Technical Specialist - PCI As a Technical Specialist within Digital Delivery, you'll play a critical role in ensuring payment compliance standards, policies and processes are met and maintained across customer and commercial systems. This is a hands on technical role. You'll be expected to bring strong practical experience of payments, tokenisation and card data environments, and the technical credibility to work directly with delivery and product teams on how compliance is designed, implemented and evidenced within real systems. What you'll do Provide technical assurance that payment related technologies meet internal and industry PCI compliance standards across digital delivery Work hands on with card and payment technologies, supporting delivery teams to design, build and maintain compliant solutions Translate internal and external compliance standards into practical technical solutions and delivery practices Support product and delivery teams in identifying and remediating compliance issues arising from new or updated standards Provide clear, concise reporting on compliance related delivery to digital leadership and contribute to future planning cycles Enable product and delivery teams to meet compliance standards in a self sufficient and sustainable way Identify and drive improvements in compliance related tooling, practices and ways of working Ensure roles and responsibilities for maintaining compliance are clearly understood across digital delivery Provide day to day technical guidance and governance on payments compliance Support the transition of compliance practices into application and product teams Track emerging technologies relevant to payments compliance and support adoption of value adding solutions aligned to architecture and cyber governance What you'll bring to British Airways Strong hands on technical expertise in payments and PCI compliance, with the ability to engage directly on system design and implementation In depth, up to date knowledge of tokenisation applications and card data environments in complex technology stacks Technical credibility to provide clear direction to delivery teams on compliant solutions Ability to translate compliance standards into workable technical outcomes Strong problem solving and analytical skills Clear, confident communicator able to explain complex compliance concepts to varied audiences Collaborative mindset with a passion for improving ways of working and tooling Your experience Engineering or architectural experience in technologies such as XML, Python and preferably Linux (e.g. Red Hat) or Java, within card data or tokenisation environments Hands on experience with AWS and, ideally, network services within segmented network environments Proven experience designing, building and deploying technical solutions that support payments compliance Experience working in Agile or DevSecOps environments alongside product and delivery teams Experience providing technical evidence of compliance to audit teams Track record of working across a broad stakeholder group to embed assurance into delivery What we offer We believe that all the people who work with us should feel valued for the part they play. It's one of the reasons our rewards go far beyond a competitive salary. From the day you join us, you'll get access to brilliant staff travel benefits including unlimited basic and premium standby tickets on British Airways flights. You'll also receive up to 30 discounted 'Hotline' airfares per year for yourself, friends, and family. At British Airways you'll have the chance to take on new challenges and move forward in a way that feels right for you. We encourage all those who work for us to consider opportunities right across our business to help you develop and progress. We never stand still, and we don't expect our people to either. Inclusion & Diversity At British Airways we all have a part to play in creating an inclusive place to work. Diverse representation among our people is really important to us and we recognise that all our colleagues are uniquely different and bring their own originality, creativity and identity to work. Inclusion and diversity is a key driver of innovation and we're committed to creating a culture where everyone feels that they can be themselves. We're looking for people from all backgrounds and cultures to join us and be a part of our journey to become a Better BA as we continue to connect Britain with the world and the world with Britain.
Pay up to £99,836, plus 28.97% employer pension contributions, hybrid working, flexible hours, and great work life balance. Are you ready to shape how data architecture works at scale across services used by millions of people every day? As a Lead Technical Architect, you'll join our Data & Analytics (D&A) function in DWP Digital - the team responsible for designing, delivering and evolving the platforms and services that unlock the value of data across the organisation. We're undergoing significant transformation, moving towards cloud-native data solutions while managing highly sensitive data, complex integrations, and live services. You'll lead architecture that ensures data is secure, scalable and works seamlessly end-to-end, helping deliver better outcomes for citizens across the UK. We are recruiting into two Lead roles. One is a hands-on leadership role within Data Enablement, shaping solution design and leading technical teams. The other is a cross-cutting assurance role, responsible for ensuring all layers of the data architecture work together coherently and meet government-wide standards. Whichever role you join, your impact will be significant - shaping strategy, influencing senior stakeholders and driving architectural decisions at scale. The scale of what we do is extraordinary, and our purpose is unique. We'd love you to join us. What skills, knowledge and experience will you need? Experience bringing together data from lots of different systems, including real-time and batch processing Strong understanding of ETL/ELT tools and how data is extracted, transformed and loaded into platforms Knowledge of data warehousing, data lakes, reporting and analytics tools, and how they fit together Ability to design architecture across cloud, on-prem and hybrid environments, considering security, networking and integration Experience applying architecture principles, standards and reusable design patterns Experience working with delivery teams across the full lifecycle, from early design through to live running services Ability to turn business needs into clear, structured technical designs that stakeholders understand Experience using architecture models or diagrams to explain and shape solutions You and your role You'll operate at the highest level of technical leadership within Data & Analytics, helping shape how data is designed, integrated and delivered across DWP. In one role, you'll work within our Data Enablement Layer, leading solution architecture for data products and services. You'll collaborate with engineers, product teams and other architects to design solutions that meet user needs and align with DWP standards. This is also a people leadership role, where you'll coach, guide and build capability across the team. In the second role, you'll operate across the entire Data & Analytics architecture, focusing on assurance and coherence. Our data landscape can be thought of as layered - covering ingestion, storage, processing and consumption - but users experience seamless services end-to-end. Your role is to ensure those layers work together as a joined-up whole: driving consistency in technologies and patterns, identifying gaps, and making sure solutions are not designed in isolation. You'll also play a key role in aligning architecture with cross-government standards, ensuring solutions stand up to external scrutiny and assurance. Across both roles, you'll engage with senior stakeholders, influence strategic direction, and solve complex architectural challenges. You'll support delivery teams to adopt best practice and emerging technologies, and ensure that everything we build is secure, scalable and designed with users in mind. This is a role for someone who enjoys working at scale, thrives in complexity and wants to make a tangible impact on services that millions of people rely on. Details. Wages. Perks. Location: You'll join us in one of our brilliant digital hubs in Blackpool, Birmingham, Leeds, Manchester, Newcastle or Sheffield, whichever is most convenient for you. Hybrid Working: We work a hybrid model - you'll spend some time working at home and some time collaborating face to face in a hub. Pay: We offer pay up to £99,836. That's £75,026 salary plus a Government Digital and Data Allowance of up to £24,810 subject to our assessment of your capability at interview. Pension: You'll get a brilliant civil service pension with employer contributions worth 28.97%, worth up to £16,786 per year. Holidays: A generous leave package starting at 26 days rising to 31 days over time. You can also take up to 3 extra days off a month on flexi-time. You'll also get all the usual public holidays. We have a broad benefits package built around your work-life balance which includes: Flexible working including flexible hours and flex-friendly policies Time off volunteering and charitable giving Bring your authentic self to work with 'I Can Be Me in DWP' Discounts and savings on shopping, fun days out and more Interest-free loans to buy a bike or a season ticket, so it's even easier for you to get to work and start making a difference Sports and social activities Professional development, coaching, mentoring and career progression opportunities. And we have an award-winning environment and culture: DWP have been recognised as 2024 Diversity Employer of the Year at the Computing Women in Tech Excellence awards Diverse and Inclusive Leadership at Digital Leaders Awards 2024 Commended as Best Place to Work in Digital category in the Computing Digital Technology Leaders awards 2025 Recognised as one of the Best Public Sector Employers at 2025 Women In Tech Employer Awards Process We know your time is valuable so our application and selection process is just two stages: Apply: complete your application on Civil Service Jobs. There'll be full instructions when you click through. Interview: a two stage interview online. Click APPLYfor more information and to start your application. JBRP1_UKTJ
10/06/2026
Full time
Pay up to £99,836, plus 28.97% employer pension contributions, hybrid working, flexible hours, and great work life balance. Are you ready to shape how data architecture works at scale across services used by millions of people every day? As a Lead Technical Architect, you'll join our Data & Analytics (D&A) function in DWP Digital - the team responsible for designing, delivering and evolving the platforms and services that unlock the value of data across the organisation. We're undergoing significant transformation, moving towards cloud-native data solutions while managing highly sensitive data, complex integrations, and live services. You'll lead architecture that ensures data is secure, scalable and works seamlessly end-to-end, helping deliver better outcomes for citizens across the UK. We are recruiting into two Lead roles. One is a hands-on leadership role within Data Enablement, shaping solution design and leading technical teams. The other is a cross-cutting assurance role, responsible for ensuring all layers of the data architecture work together coherently and meet government-wide standards. Whichever role you join, your impact will be significant - shaping strategy, influencing senior stakeholders and driving architectural decisions at scale. The scale of what we do is extraordinary, and our purpose is unique. We'd love you to join us. What skills, knowledge and experience will you need? Experience bringing together data from lots of different systems, including real-time and batch processing Strong understanding of ETL/ELT tools and how data is extracted, transformed and loaded into platforms Knowledge of data warehousing, data lakes, reporting and analytics tools, and how they fit together Ability to design architecture across cloud, on-prem and hybrid environments, considering security, networking and integration Experience applying architecture principles, standards and reusable design patterns Experience working with delivery teams across the full lifecycle, from early design through to live running services Ability to turn business needs into clear, structured technical designs that stakeholders understand Experience using architecture models or diagrams to explain and shape solutions You and your role You'll operate at the highest level of technical leadership within Data & Analytics, helping shape how data is designed, integrated and delivered across DWP. In one role, you'll work within our Data Enablement Layer, leading solution architecture for data products and services. You'll collaborate with engineers, product teams and other architects to design solutions that meet user needs and align with DWP standards. This is also a people leadership role, where you'll coach, guide and build capability across the team. In the second role, you'll operate across the entire Data & Analytics architecture, focusing on assurance and coherence. Our data landscape can be thought of as layered - covering ingestion, storage, processing and consumption - but users experience seamless services end-to-end. Your role is to ensure those layers work together as a joined-up whole: driving consistency in technologies and patterns, identifying gaps, and making sure solutions are not designed in isolation. You'll also play a key role in aligning architecture with cross-government standards, ensuring solutions stand up to external scrutiny and assurance. Across both roles, you'll engage with senior stakeholders, influence strategic direction, and solve complex architectural challenges. You'll support delivery teams to adopt best practice and emerging technologies, and ensure that everything we build is secure, scalable and designed with users in mind. This is a role for someone who enjoys working at scale, thrives in complexity and wants to make a tangible impact on services that millions of people rely on. Details. Wages. Perks. Location: You'll join us in one of our brilliant digital hubs in Blackpool, Birmingham, Leeds, Manchester, Newcastle or Sheffield, whichever is most convenient for you. Hybrid Working: We work a hybrid model - you'll spend some time working at home and some time collaborating face to face in a hub. Pay: We offer pay up to £99,836. That's £75,026 salary plus a Government Digital and Data Allowance of up to £24,810 subject to our assessment of your capability at interview. Pension: You'll get a brilliant civil service pension with employer contributions worth 28.97%, worth up to £16,786 per year. Holidays: A generous leave package starting at 26 days rising to 31 days over time. You can also take up to 3 extra days off a month on flexi-time. You'll also get all the usual public holidays. We have a broad benefits package built around your work-life balance which includes: Flexible working including flexible hours and flex-friendly policies Time off volunteering and charitable giving Bring your authentic self to work with 'I Can Be Me in DWP' Discounts and savings on shopping, fun days out and more Interest-free loans to buy a bike or a season ticket, so it's even easier for you to get to work and start making a difference Sports and social activities Professional development, coaching, mentoring and career progression opportunities. And we have an award-winning environment and culture: DWP have been recognised as 2024 Diversity Employer of the Year at the Computing Women in Tech Excellence awards Diverse and Inclusive Leadership at Digital Leaders Awards 2024 Commended as Best Place to Work in Digital category in the Computing Digital Technology Leaders awards 2025 Recognised as one of the Best Public Sector Employers at 2025 Women In Tech Employer Awards Process We know your time is valuable so our application and selection process is just two stages: Apply: complete your application on Civil Service Jobs. There'll be full instructions when you click through. Interview: a two stage interview online. Click APPLYfor more information and to start your application. JBRP1_UKTJ
AI Agentic Engineer (MedTech) We re partnering with an innovative MedTech company in North of England that is building next-generation intelligent healthcare solutions. They are now looking for an number of AI Agentic Engineer to help design, build, and deploy autonomous AI systems that will directly support clinical and operational decision-making. This is a highly impactful role where you ll be working at the intersection of AI, software engineering, and healthcare innovation - developing agent-based systems that can reason, plan, and act within real-world medical workflows. You ll be joining a forward-thinking engineering team that is scaling rapidly, with a strong focus on responsible AI, performance, and real-world application. What you ll be doing You ll design and develop AI agent systems that can interact with tools, APIs, and data sources to complete complex tasks autonomously. You ll work closely with product and engineering teams to translate clinical and operational requirements into scalable AI-driven solutions, while ensuring safety, reliability, and interpretability are built into everything you deliver. What we re looking for We re looking for engineers with strong experience in AI/ML or software engineering who are excited by agentic AI systems and real-world applications. Key skills and experience include: Strong Python development experience Hands-on experience with LLMs and agent frameworks (e.g. LangChain, LlamaIndex, AutoGen or similar) Understanding of prompt engineering, RAG pipelines, and tool-using AI systems Experience working with APIs, data pipelines, and cloud platforms (AWS, Azure or GCP) Strong software engineering fundamentals (testing, version control, scalable design) Bonus experience: Background in healthcare, life sciences, or regulated environments Experience with AI safety, evaluation, or model monitoring Familiarity with distributed systems or event-driven architectures Location & working style This role is based in Newcastle, with hybrid working available. Why join? This is a rare opportunity to work on cutting-edge AI systems in a mission-driven MedTech environment, where your work will have direct real-world impact. You ll be joining a highly technical team solving meaningful problems with modern AI approaches. Interested? Please Click Apply Now! AI Agentic Engineer (MedTech)
09/06/2026
Full time
AI Agentic Engineer (MedTech) We re partnering with an innovative MedTech company in North of England that is building next-generation intelligent healthcare solutions. They are now looking for an number of AI Agentic Engineer to help design, build, and deploy autonomous AI systems that will directly support clinical and operational decision-making. This is a highly impactful role where you ll be working at the intersection of AI, software engineering, and healthcare innovation - developing agent-based systems that can reason, plan, and act within real-world medical workflows. You ll be joining a forward-thinking engineering team that is scaling rapidly, with a strong focus on responsible AI, performance, and real-world application. What you ll be doing You ll design and develop AI agent systems that can interact with tools, APIs, and data sources to complete complex tasks autonomously. You ll work closely with product and engineering teams to translate clinical and operational requirements into scalable AI-driven solutions, while ensuring safety, reliability, and interpretability are built into everything you deliver. What we re looking for We re looking for engineers with strong experience in AI/ML or software engineering who are excited by agentic AI systems and real-world applications. Key skills and experience include: Strong Python development experience Hands-on experience with LLMs and agent frameworks (e.g. LangChain, LlamaIndex, AutoGen or similar) Understanding of prompt engineering, RAG pipelines, and tool-using AI systems Experience working with APIs, data pipelines, and cloud platforms (AWS, Azure or GCP) Strong software engineering fundamentals (testing, version control, scalable design) Bonus experience: Background in healthcare, life sciences, or regulated environments Experience with AI safety, evaluation, or model monitoring Familiarity with distributed systems or event-driven architectures Location & working style This role is based in Newcastle, with hybrid working available. Why join? This is a rare opportunity to work on cutting-edge AI systems in a mission-driven MedTech environment, where your work will have direct real-world impact. You ll be joining a highly technical team solving meaningful problems with modern AI approaches. Interested? Please Click Apply Now! AI Agentic Engineer (MedTech)
Bennett & Game Recruitment
City, Newcastle Upon Tyne
Our client, a Consultancy working on some exciting projects across the UK, is looking for a driven and talented BIM Coordinator to join an exceptional team and support the delivery of challenging projects in their growing pipeline and beyond. The successful individual will be highly motivated and will play a key role in supporting project teams to deliver coordinated, high-quality BIM enabled projects across a range of sectors. This is an exciting opportunity to be part of a dynamic team working on some of the most significant projects in the UK construction industry. The client is looking for someone who enjoys solving complex problems, has a passion for technology and digital construction, and is eager to develop and improve project processes and workflows. We welcome applicants from a variety of backgrounds, particularly Architectural Technologists, Architects, and other construction professionals with BIM experience looking to progress their careers within digital delivery. Overview Project Delivery: Support the delivery of high-quality, coordinated, data driven building models across multiple projects. BIM Coordination: Assist project teams with model coordination, clash detection, information management, and BIM workflows. Innovation: Stay up to date with developments in BIM and digital construction technologies, contributing to the improvement of internal processes and standards. Client Engagement: Work alongside senior team members and clients to understand project requirements and support BIM implementation strategies. Collaboration: Foster effective collaboration within project teams and with external consultants to ensure seamless project execution. Problem Solving: Help resolve design coordination challenges and support efficient project delivery through BIM technologies. Requirements Experience in a similar BIM Coordinator, Architectural Technologist, Architect, or related digital delivery role. Motivated individual with the ability to manage workload effectively and contribute positively within a team environment. Strong communication skills with a proactive approach to problem solving. Experience working within BIM project environments and collaborating with multidisciplinary teams. Knowledge of BIM standards, workflows, and information management processes. Live within a commutable distance of Newark. Experience with Clash Detection & Navisworks preferred. Remuneration and Benefits Competitive salary (£40,000 - £45,000 DOE) Pension Discretionary bonus scheme Hybrid working and flexible working hours Holiday that accrues with service Training and development opportunities Other company benefits to be discussed at interview stage
09/06/2026
Full time
Our client, a Consultancy working on some exciting projects across the UK, is looking for a driven and talented BIM Coordinator to join an exceptional team and support the delivery of challenging projects in their growing pipeline and beyond. The successful individual will be highly motivated and will play a key role in supporting project teams to deliver coordinated, high-quality BIM enabled projects across a range of sectors. This is an exciting opportunity to be part of a dynamic team working on some of the most significant projects in the UK construction industry. The client is looking for someone who enjoys solving complex problems, has a passion for technology and digital construction, and is eager to develop and improve project processes and workflows. We welcome applicants from a variety of backgrounds, particularly Architectural Technologists, Architects, and other construction professionals with BIM experience looking to progress their careers within digital delivery. Overview Project Delivery: Support the delivery of high-quality, coordinated, data driven building models across multiple projects. BIM Coordination: Assist project teams with model coordination, clash detection, information management, and BIM workflows. Innovation: Stay up to date with developments in BIM and digital construction technologies, contributing to the improvement of internal processes and standards. Client Engagement: Work alongside senior team members and clients to understand project requirements and support BIM implementation strategies. Collaboration: Foster effective collaboration within project teams and with external consultants to ensure seamless project execution. Problem Solving: Help resolve design coordination challenges and support efficient project delivery through BIM technologies. Requirements Experience in a similar BIM Coordinator, Architectural Technologist, Architect, or related digital delivery role. Motivated individual with the ability to manage workload effectively and contribute positively within a team environment. Strong communication skills with a proactive approach to problem solving. Experience working within BIM project environments and collaborating with multidisciplinary teams. Knowledge of BIM standards, workflows, and information management processes. Live within a commutable distance of Newark. Experience with Clash Detection & Navisworks preferred. Remuneration and Benefits Competitive salary (£40,000 - £45,000 DOE) Pension Discretionary bonus scheme Hybrid working and flexible working hours Holiday that accrues with service Training and development opportunities Other company benefits to be discussed at interview stage
.NET Developer - Global Phenomenon - Newcastle upon Tyne, Tyne and Wear (Tech stack: .NET Developer, .NET 10.0, ASP.NET Core, C# 14, .NET Aspire, CI/CD, Azure DevOps, EF Core 10.0, Agile, HTML Living Standard, CSS Living Standard, Programmer, Full Stack Engineer, Architect, .NET Developer) Our client has created a global phenomenon, connecting people online to unique travel experiences, in more than 60,000 cities and 180 countries. As they approach their 10th anniversary they are looking to produce a revolutionary set of products and services that will transform the travel industry beyond recognition. For our client, engineering is not just a job but a practice that they want to perfect. They aim to keep their systems modular, their code clean, and their documentation clear, and they follow the idea of leaving things better than how you found it. It is not just about the code - putting the right processes and tools in place to make developers happy and efficient is important to our client because it gives their .NET Developer the time to focus on polishing the product. Working on a new payment solution, you will be given the opportunity to operate at all levels of the stack: the UIs that allow people all over the world to pay and get paid in their locally preferred methods, the APIs and processor integrations to send payment instructions to their wide network of partners, the offline reporting and reconciliation pipelines that ensure financial data integrity and allow the business to operate, and more. We are seeking .NET Developer with a strong grasp of object orientated development principles and sound knowledge of: .NET, .NET Core, C# and Azure SQL. You will receive industry recognized training in all aspects of: .NET 10.0, C# 14, .NET Aspire, CI/CD, Azure DevOps, EF Core 10.0, Agile, HTML Living Standard, CSS Living Standard. Solid, DRY, LINQ and MongoDB. Our client offers a structured career progression programme. It is common place for developers within their firm to receive their first promotion (and pay rise!) within 6 months of joining. All positions come with the following benefits: Company shares Bonus (typically 20%) Pension (11%) Private medical healthcare (family plan included) 27 days holiday Quarterly employee travel coupon Community involvement (4 hours per month to give back to the community) Much more No global movement springs from individuals. It takes an entire team united behind something big. Together, they work hard, they laugh a lot, they brainstorm nonstop, they use hundreds of Post-Its a week, and they give the best high-fives in town. If you are interested in being a part of this movement please apply today! Location: Newcastle upon Tyne, Tyne and Wear, UK / Remote Working Salary: £45,000 - £85,000 + Bonus + Pension + Benefits Applicants must be based in the UK and have the right to work in the UK even though remote working is available. Noir continues to be the leading Microsoft recruitment agency; we can help you make the right career decisions! NOIRUKNETREC NOIRUKREC NC/RC/NEWET
09/06/2026
Full time
.NET Developer - Global Phenomenon - Newcastle upon Tyne, Tyne and Wear (Tech stack: .NET Developer, .NET 10.0, ASP.NET Core, C# 14, .NET Aspire, CI/CD, Azure DevOps, EF Core 10.0, Agile, HTML Living Standard, CSS Living Standard, Programmer, Full Stack Engineer, Architect, .NET Developer) Our client has created a global phenomenon, connecting people online to unique travel experiences, in more than 60,000 cities and 180 countries. As they approach their 10th anniversary they are looking to produce a revolutionary set of products and services that will transform the travel industry beyond recognition. For our client, engineering is not just a job but a practice that they want to perfect. They aim to keep their systems modular, their code clean, and their documentation clear, and they follow the idea of leaving things better than how you found it. It is not just about the code - putting the right processes and tools in place to make developers happy and efficient is important to our client because it gives their .NET Developer the time to focus on polishing the product. Working on a new payment solution, you will be given the opportunity to operate at all levels of the stack: the UIs that allow people all over the world to pay and get paid in their locally preferred methods, the APIs and processor integrations to send payment instructions to their wide network of partners, the offline reporting and reconciliation pipelines that ensure financial data integrity and allow the business to operate, and more. We are seeking .NET Developer with a strong grasp of object orientated development principles and sound knowledge of: .NET, .NET Core, C# and Azure SQL. You will receive industry recognized training in all aspects of: .NET 10.0, C# 14, .NET Aspire, CI/CD, Azure DevOps, EF Core 10.0, Agile, HTML Living Standard, CSS Living Standard. Solid, DRY, LINQ and MongoDB. Our client offers a structured career progression programme. It is common place for developers within their firm to receive their first promotion (and pay rise!) within 6 months of joining. All positions come with the following benefits: Company shares Bonus (typically 20%) Pension (11%) Private medical healthcare (family plan included) 27 days holiday Quarterly employee travel coupon Community involvement (4 hours per month to give back to the community) Much more No global movement springs from individuals. It takes an entire team united behind something big. Together, they work hard, they laugh a lot, they brainstorm nonstop, they use hundreds of Post-Its a week, and they give the best high-fives in town. If you are interested in being a part of this movement please apply today! Location: Newcastle upon Tyne, Tyne and Wear, UK / Remote Working Salary: £45,000 - £85,000 + Bonus + Pension + Benefits Applicants must be based in the UK and have the right to work in the UK even though remote working is available. Noir continues to be the leading Microsoft recruitment agency; we can help you make the right career decisions! NOIRUKNETREC NOIRUKREC NC/RC/NEWET
DevOps Engineer - FinTech - Newcastle (Tech stack: DevOps Engineer, PowerShell, C#, Java, Python, Ansible, Terraform, Docker, Kubernetes, Docker Swarm, ELK, Grafana, CI/CD, TeamCity, SQL Server, Windows, Linux, Programmer, Developer, Architect, DevOps Engineer) Our client is a cutting-edge FinTech company with a reputation for innovation and excellence. They design and build advanced trading and analytics platforms used globally by some of the world's leading financial institutions. With ambitious plans for growth and new product launches, they are now seeking a talented DevOps Engineer to join their team in Newcastle. As a DevOps Engineer, you will be responsible for creating, maintaining, and optimising the infrastructure and pipelines that support highly complex financial software platforms. You'll work closely with developers and stakeholders, ensuring deployments are seamless, environments are robust, and systems are both secure and scalable. This is a fantastic opportunity to apply your technical expertise in a collaborative, fast-paced environment where innovation is actively encouraged. The successful candidate will bring: A 2:1 degree or above in Computer Science (or related), ideally from a top university. Strong ability in scripting with PowerShell or a similar language. Hands-on coding skills in at least one of C#, Java, or Python. Practical knowledge of automation tools such as Terraform or Ansible. Background in container platforms (e.g., Docker) with orchestration using Kubernetes or Swarm. Familiarity with system monitoring solutions (e.g., ELK, Grafana, or similar). Proven track record in building and maintaining CI/CD pipelines, preferably with TeamCity. Experience working with SQL databases, particularly Microsoft SQL Server. Comfort managing both Windows and Linux environments. The ability to communicate clearly with colleagues and clients to resolve challenges and deliver solutions. Desirable (but not essential): Working knowledge of Atlassian products such as JIRA or Bitbucket. Exposure to artifact management tools like Artifactory. Deployment automation experience with Octopus Deploy. Awareness of code quality and analysis tools (e.g., SonarQube). Background with job scheduling platforms such as Control-M. Experience with major cloud providers (Azure, AWS, GCP). Familiarity with VMware (vSphere) and storage area networks. Previous experience in financial services would be advantageous, though not a requirement. This is an exceptional opportunity to join a forward-thinking organisation where your contributions will directly shape the delivery of world-class FinTech products. Location: Newcastle, UK (Fully Office Based) Salary: £50,000 - £90,000 + Bonus + Benefits Applicants must be based in the UK and have the right to work in the UK. Noir continues to be the leading Microsoft recruitment agency; we can help you make the right career decisions! NOIRUKTECHREC NOIRUKREC
09/06/2026
Full time
DevOps Engineer - FinTech - Newcastle (Tech stack: DevOps Engineer, PowerShell, C#, Java, Python, Ansible, Terraform, Docker, Kubernetes, Docker Swarm, ELK, Grafana, CI/CD, TeamCity, SQL Server, Windows, Linux, Programmer, Developer, Architect, DevOps Engineer) Our client is a cutting-edge FinTech company with a reputation for innovation and excellence. They design and build advanced trading and analytics platforms used globally by some of the world's leading financial institutions. With ambitious plans for growth and new product launches, they are now seeking a talented DevOps Engineer to join their team in Newcastle. As a DevOps Engineer, you will be responsible for creating, maintaining, and optimising the infrastructure and pipelines that support highly complex financial software platforms. You'll work closely with developers and stakeholders, ensuring deployments are seamless, environments are robust, and systems are both secure and scalable. This is a fantastic opportunity to apply your technical expertise in a collaborative, fast-paced environment where innovation is actively encouraged. The successful candidate will bring: A 2:1 degree or above in Computer Science (or related), ideally from a top university. Strong ability in scripting with PowerShell or a similar language. Hands-on coding skills in at least one of C#, Java, or Python. Practical knowledge of automation tools such as Terraform or Ansible. Background in container platforms (e.g., Docker) with orchestration using Kubernetes or Swarm. Familiarity with system monitoring solutions (e.g., ELK, Grafana, or similar). Proven track record in building and maintaining CI/CD pipelines, preferably with TeamCity. Experience working with SQL databases, particularly Microsoft SQL Server. Comfort managing both Windows and Linux environments. The ability to communicate clearly with colleagues and clients to resolve challenges and deliver solutions. Desirable (but not essential): Working knowledge of Atlassian products such as JIRA or Bitbucket. Exposure to artifact management tools like Artifactory. Deployment automation experience with Octopus Deploy. Awareness of code quality and analysis tools (e.g., SonarQube). Background with job scheduling platforms such as Control-M. Experience with major cloud providers (Azure, AWS, GCP). Familiarity with VMware (vSphere) and storage area networks. Previous experience in financial services would be advantageous, though not a requirement. This is an exceptional opportunity to join a forward-thinking organisation where your contributions will directly shape the delivery of world-class FinTech products. Location: Newcastle, UK (Fully Office Based) Salary: £50,000 - £90,000 + Bonus + Benefits Applicants must be based in the UK and have the right to work in the UK. Noir continues to be the leading Microsoft recruitment agency; we can help you make the right career decisions! NOIRUKTECHREC NOIRUKREC
