6421 jobs found

At JP Morgan Chase, we understand that customers seek exceptional value and a seamless experience from a trusted financial institution. That's why we launched Chase UK to transform digital banking with intuitive and enjoyable customer journeys. With a strong foundation of trust established by millions of customers in the US, we have been rapidly expanding our presence in the UK and soon across Europe. We have been building the bank of the future from the ground up, offering you the chance to join us and make a significant impact. As a Software Engineer III at JPMorgan Chase within the International Consumer Bank, you will play a crucial role in this initiative, dedicated to delivering an outstanding banking experience to our customers. You will work in a collaborative environment as part of a diverse, inclusive, and geographically distributed team. We are seeking individuals with a curious mindset and a keen interest in new technology. Our engineers are naturally solution oriented and possess an interest in the financial sector and focus on addressing our customer needs. We work in a team focused on the delivery of a leading edge technology stack underpinning our customer servicing capabilities. We are seeking two talented AI Engineers to join our new AI team dedicated to developing an advanced Agent Assist platform for contact centre agents. You will design, build, and deploy machine learning models and automation solutions, collaborating with backend, Salesforce, and AWS engineers. Key Responsibilities Design and implement AI/ML models to automate agent workflows and display tasks Collaborate with backend, Salesforce, and AWS engineers to integrate AI solutions Optimize model performance and scalability in production environments Participate in proof of concept (POC) initiatives, including internal Agent assist AI tools Monitor, evaluate, and improve AI driven features based on user feedback and metrics Document solutions and contribute to team knowledge sharing Research and prototype innovative agent assist features (30% innovation focus) Required Skills Proficiency in Python is mandatory Strong experience in ML frameworks (TensorFlow, PyTorch, Scikit learn) Hands on experience with cloud platforms, especially AWS Familiarity with RESTful APIs and microservices architecture Experience integrating AI solutions with enterprise platforms such as Salesforce and AWS Excellent problem solving and communication skills Bachelor's or Master's degree in Computer Science, Engineering, or related field Preferred Skills Experience with agent assist or contact centre technologies Exposure to automation and workflow optimization

Solution Architect Location: Glenrothes (Hybrid) Clearance: SC Eligible Duration: Fixed Term Contract - 12 months Hours: Full Time - 37 hours per week Raytheon UK We are seeking a highly capable IT Solution Architect to join our Digital Technology function within the Architecture team. This role will be central to the successful delivery of a Manufacturing Execution System (MES) replacement programme, operating as part of a broader transformation that includes internal teams and third party consultancy partners. Working under the direction of the Lead Architect, the Solution Architect will serve as a trusted point of reference for the programme, helping translate business vision into robust technology designs while ensuring architectural coherence across applications, data, security, and integration landscapes. Key Responsibilities Architecture & Design Develop end to end solution architectures for the replacement and integration of MES platforms across manufacturing operations. Ensure alignment of MES solutions with existing enterprise systems such as ERP, quality systems, SCADA, historians, and other operational technologies. Produce architecture artefacts including conceptual and logical designs, data and integration models, interface specifications, and design rationale. Collaboration & Technical Leadership Work closely with the Lead Architect to maintain architectural consistency and alignment with enterprise technology strategy. Serve as a primary architectural contact for programme teams and external consultancy partners, guiding solution decisions and clarifying design intent. Collaborate with manufacturing, operations, engineering, QA, and IT stakeholders to ensure proposed solutions meet business needs and regulatory constraints. Data & Security Ensure MES data models, data flows, manufacturing records, event logs, and quality related data are effectively designed and governed. Develop solutions that embed security by design principles, including access control, traceability, segregation of duties, and secure interfaces. Address compliance requirements related to regulated manufacturing environments (e.g., auditability, electronic records, validation). Integration & Connected Systems Design robust, reliable integration patterns between MES, ERP, automation systems, and other operational applications. Ensure end to end process consistency across manufacturing, quality, supply chain, and reporting systems. Validate integration approaches with third party consultancies to ensure they align with enterprise architecture standards and regulatory expectations. Governance & Compliance Apply enterprise architecture frameworks such as TOGAF (or similar) to guide structured design, documentation, and governance. Support architecture review boards and ensure adherence to architectural standards and regulatory controls. Identify and manage architectural risks, especially those associated with regulated manufacturing environments and operational technology integrations. Candidate Requirements Essential Proven experience as a Solution Architect on large-scale transformation programmes, ideally involving MES platforms or manufacturing/operational systems. Strong understanding of MES solutions, production workflows, shop floor operations, automation technologies, and related integration patterns. Experience with enterprise architecture frameworks (TOGAF or equivalent). Strong knowledge in: Application architecture for MES and manufacturing systems Data architecture, lineage, record management, and governance Security principles in operational and regulated environments Integration technologies (API, message based, OT interfaces, middleware) Experience collaborating with third party consultancy partners within structured transformation initiatives. Experience working within a highly regulated manufacturing environment (e.g., medical, aerospace and defence). Desirable Skills Strong analytical and problem solving skills. Clear and confident communicator, able to work with technical and non technical stakeholders. Pragmatic, collaborative, and able to influence outcomes across diverse teams. Detail oriented with the ability to balance deep technical work and broader architectural alignment.

At CGI, you will play a pivotal role in delivering secure, scalable infrastructure solutions that underpin critical operations across the Space, Defence and Intelligence sectors. Working at the forefront of innovation, you will design, build and manage modern enterprise environments that enable mission success and drive measurable outcomes for our clients. You will contribute to high-impact programmes, shaping resilient platforms while collaborating with experts in a culture that values accountability, technical creativity, and continuous development. Due to the secure nature of the programme, you will need to hold UK Security Clearance or be eligible to go through this clearance. This position will be based in the CGI Chippenham office 5 days a week. Your Future Duties and Responsibilities In this role, you will design, build and manage secure, high-performing infrastructure environments that support critical defence and intelligence operations. You will take ownership of delivering robust platforms across virtualised, cloud and software-defined environments, contributing to solution design and influencing key technical decisions. Working closely with architecture, security and delivery teams, you will help shape resilient systems while continuously identifying opportunities to optimise, modernise and automate infrastructure services. You will play a key role in ensuring systems are reliable, scalable and aligned with strict security requirements, while also supporting complex troubleshooting and ongoing improvements. Your contributions will directly impact programme success, enabling innovative solutions in highly secure environments while being supported by a collaborative and forward-thinking team. Build & Configure: Develop enterprise infrastructure environments across virtualised and cloud platforms Deploy & Optimise: Implement and enhance VMware, VxRail and NSX based solutions Operate & Maintain: Manage day to day infrastructure operations, ensuring performance and availability Architect & Secure: Design network and cross domain solutions aligned to security standards Support & Resolve: Provide 2nd/3rd line support and resolve complex infrastructure issues Collaborate & Deliver: Work with cross functional teams to deliver high quality, timely solutions Automate & Improve: Identify optimisation opportunities and contribute to automation initiatives Required Qualifications to be Successful in This Role You will bring strong experience in enterprise infrastructure engineering within defence or secure environments, with a focus on virtualisation, cloud technologies and secure system design. A solid understanding of infrastructure lifecycle management, combined with hands on technical expertise, will enable you to contribute effectively to complex, high impact programmes. Proven experience working in Defence or secure environments Strong knowledge of enterprise infrastructure (compute, storage, networking) Hands on experience with VMware technologies (including Cloud Foundation, VxRail) Experience designing or supporting cross-domain solutions Understanding of infrastructure lifecycle management and best practices Experience implementing and managing SSO solutions Experience with Kubernetes platforms, ideally VKS Familiarity with security standards, processes and policies in Defence (desirable) Exposure to automation tools and Infrastructure as Code (desirable) Knowledge of hybrid or multi-cloud environments (desirable) Strong Linux and/or Windows Server administration skills (desirable)

At CGI, you will play a pivotal role in delivering secure, scalable infrastructure solutions that underpin critical operations across the Space, Defence and Intelligence sectors. Working at the forefront of innovation, you will design, build and manage modern enterprise environments that enable mission success and drive measurable outcomes for our clients. You will contribute to high-impact programmes, shaping resilient platforms while collaborating with experts in a culture that values accountability, technical creativity, and continuous development. Due to the secure nature of the programme, you will need to hold UK Security Clearance or be eligible to go through this clearance. This position will be based in the CGI Chippenham office 5 days a week. Your Future Duties and Responsibilities In this role, you will design, build and manage secure, high-performing infrastructure environments that support critical defence and intelligence operations. You will take ownership of delivering robust platforms across virtualised, cloud and software-defined environments, contributing to solution design and influencing key technical decisions. Working closely with architecture, security and delivery teams, you will help shape resilient systems while continuously identifying opportunities to optimise, modernise and automate infrastructure services. You will play a key role in ensuring systems are reliable, scalable and aligned with strict security requirements, while also supporting complex troubleshooting and ongoing improvements. Your contributions will directly impact programme success, enabling innovative solutions in highly secure environments while being supported by a collaborative and forward-thinking team. Build & Configure: Develop enterprise infrastructure environments across virtualised and cloud platforms Deploy & Optimise: Implement and enhance VMware, VxRail and NSX based solutions Operate & Maintain: Manage day to day infrastructure operations, ensuring performance and availability Architect & Secure: Design network and cross domain solutions aligned to security standards Support & Resolve: Provide 2nd/3rd line support and resolve complex infrastructure issues Collaborate & Deliver: Work with cross functional teams to deliver high quality, timely solutions Automate & Improve: Identify optimisation opportunities and contribute to automation initiatives Required Qualifications to be Successful in This Role You will bring strong experience in enterprise infrastructure engineering within defence or secure environments, with a focus on virtualisation, cloud technologies and secure system design. A solid understanding of infrastructure lifecycle management, combined with hands on technical expertise, will enable you to contribute effectively to complex, high impact programmes. Proven experience working in Defence or secure environments Strong knowledge of enterprise infrastructure (compute, storage, networking) Hands on experience with VMware technologies (including Cloud Foundation, VxRail) Experience designing or supporting cross-domain solutions Understanding of infrastructure lifecycle management and best practices Experience implementing and managing SSO solutions Experience with Kubernetes platforms, ideally VKS Familiarity with security standards, processes and policies in Defence (desirable) Exposure to automation tools and Infrastructure as Code (desirable) Knowledge of hybrid or multi-cloud environments (desirable) Strong Linux and/or Windows Server administration skills (desirable)

We are looking for a Principal Architect to lead our technology strategy in AI (Artificial Intelligence), Generative AI, IA (Intelligent Automation) and agentic solution development. As a vital force driving the strategic and technical evolution of the Global Streaming Platform, this role empowers the organisation to harness ground breaking advancements in AI, including Large Language Models (LLMs), agent workflows, and machine learning infrastructures. By seamlessly integrating these cutting edge technologies into secure, scalable, and high performance enterprise solutions, the Principal Architect will enable transformative growth and ensure the company maintains its position as a world class leader. This role requires deep knowledge in AI and IA technologies, strong architectural skills, and a strategic approach to recommend tailored platform transformations and deliver advanced AI solutions to maintain the business at its world class position. What you'll do: Architectural Leadership Oversee the comprehensive architecture strategy for developing and deploying AI applications and solutions, considering data management, cybersecurity, legal aspects, appropriate platform and infrastructure adaptation and third party vendor selection and integration. Recommend the tailored level of transformation required within the current platform to adapt and exploit at scale the adoption of AI based technologies guaranteeing cost efficiency, reliability, performance and security. Design and maintain an AI extension to the platform as an integrated technology stack, independent of any specific vendors but capable of integrating with major AI models and third party commodities, for porting self serving AI in house developed solutions. Contribute to the AI roadmap and identify AI driven efficiency, innovation or automation opportunities maintaining alignment with business goals, regulatory or compliance requirements and ethical principles. Solution Design Partner with product and engineering teams to translate business requirements into scalable AI solutions. Lead the evaluation, selection, and integration of AI platforms and models, tools, and technologies. Ensure optimized integration of AI solutions with existing systems and data sources. Technical Expertise Collaborate with the product teams to assist in the refinement of AI related product requirements, and to provide early, high level advice on opportunities and possible solutions. Stay current with emerging AI trends, technologies, protocols, research breakthroughs, model development and AI software design pattern and best practices. Provide technical guidance and mentorship to the engineering teams. Collaboration and Communication Foster strong relationships with stakeholders, including business leaders, product managers. Collaborate with senior leadership to align AI initiatives with organizational goals. Communicate complex technical concepts to non technical stakeholders effectively. Promote a collaborative and innovative AI culture within the whole organisation. Work closely with project managers, data scientists, developers and IT teams to define project scope, objectives, deliverables and solutions. Partner with the FinOps team to ensure implementation of adequate monitoring and budgetary guardrails. Work closely with the procurement and legal team in the negotiations with vendors. Governance and Compliance Establish governance and define internal standards, guidelines, and best practices to ensure data privacy, security, and ethical use of AI. Ensure compliance with industry standards and international regulations. What you'll bring: Advanced degree in Computer Science, AI, or a related field. Contributions to open source AI projects or published research in AI/ML. Extensive experience in software or systems architecture, with strong focus in AI/ML domains. Proven experience designing and deploying AI solutions using frameworks such as LangChain, RAG, and vector databases or the MCP protocol. Deep understanding of LLMs, prompt engineering, model evaluation, and fine tuning strategies. Strong proficiency in ML frameworks (e.g., TensorFlow, PyTorch) and cloud platforms (AWS, Azure, GCP). Experience with AI infrastructure components including model gateways, orchestration layers, and observability tools. Familiarity with AI governance, data privacy, international regulation and ethical AI frameworks. Excellent leadership, communication, and interpersonal skills. Strong analytical and problem solving abilities. Ability to work in a fast paced, dynamic environment. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Your office space Osterley Our Osterley Campus is a 10 minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon.

Step into a pivotal role at the forefront of JP Morgan's AI transformation. As part of the Chief Analytics Office (CAO), you'll drive innovation and shape the future of financial technology. You'll collaborate with talented teams, architect impactful solutions, and see your work deliver measurable results across the firm. This is your opportunity to influence strategy, build production-grade systems, and unlock new possibilities for our clients and stakeholders. Join us and help define the next era of enterprise AI. Job Summary As a Generative AI Executive Director in the Chief Analytics Office, you will lead the design and delivery of production grade LLM systems that power mission critical products for thousands of professionals. Your technical leadership will empower teams to innovate and accelerate the adoption of AI at scale. Job Responsibilities You will architect scalable APIs and agentic workflows, enabling automation and efficiency across the firm. Architect and deliver production LLM based systems for text, image, speech, and video applications. Own end to end delivery, performance, and continuous improvement of LLM Suite products. Working closely with ML Engineering, Product Management, and Cloud Engineering, you will ensure our AI solutions are reliable, secure, and built for real business impact. Bridge advanced AI research with robust engineering to build innovative, production ready solutions. Drive results with an entrepreneurial mindset in a fast paced, high impact environment. Required Qualifications, Capabilities, and Skills Hold a PhD or possess equivalent experience in Computer Science, Mathematics, Statistics, or a related quantitative discipline. Demonstrate extensive hands on experience in ML engineering, with a proven track record of shipping production AI systems. Bring deep expertise in NLP, Computer Vision, and/or Multimodal LLM algorithms, with a strong foundation in statistics, optimization, and ML theory. Apply practical experience implementing distributed, multi threaded, and scalable applications using frameworks such as Ray, Horovod, or DeepSpeed. Communicate complex technical concepts effectively and build trust with stakeholders at all levels. Preferred Qualifications, Capabilities, and Skills Design and deploy production ML pipelines using DAG frameworks, including custom operator development and pipeline optimization. Architect and implement high throughput, low latency microservices with gRPC, REST, and GraphQL, including protocol buffer schema design, streaming endpoints, and load balancing. Apply hands on experience with parameter efficient fine tuning (LoRA, QLoRA, IA3), model quantization (INT8, FP16, GPTQ), and quantization aware training for LLMs at scale. Demonstrate deep knowledge of distributed training strategies, memory optimization, and inference acceleration for large scale multimodal models. Orchestrate advanced agentic workflows, including multi agent coordination, stateful task management, and integration with enterprise event driven architectures. Equal Opportunity Statement We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit FAQs for more information about requesting an accommodation.

Step into a pivotal role at the forefront of JP Morgan's AI transformation. As part of the Chief Analytics Office (CAO), you'll drive innovation and shape the future of financial technology. You'll collaborate with talented teams, architect impactful solutions, and see your work deliver measurable results across the firm. This is your opportunity to influence strategy, build production-grade systems, and unlock new possibilities for our clients and stakeholders. Join us and help define the next era of enterprise AI. Job Summary As a Generative AI Executive Director in the Chief Analytics Office, you will lead the design and delivery of production grade LLM systems that power mission critical products for thousands of professionals. Your technical leadership will empower teams to innovate and accelerate the adoption of AI at scale. Job Responsibilities You will architect scalable APIs and agentic workflows, enabling automation and efficiency across the firm. Architect and deliver production LLM based systems for text, image, speech, and video applications. Own end to end delivery, performance, and continuous improvement of LLM Suite products. Working closely with ML Engineering, Product Management, and Cloud Engineering, you will ensure our AI solutions are reliable, secure, and built for real business impact. Bridge advanced AI research with robust engineering to build innovative, production ready solutions. Drive results with an entrepreneurial mindset in a fast paced, high impact environment. Required Qualifications, Capabilities, and Skills Hold a PhD or possess equivalent experience in Computer Science, Mathematics, Statistics, or a related quantitative discipline. Demonstrate extensive hands on experience in ML engineering, with a proven track record of shipping production AI systems. Bring deep expertise in NLP, Computer Vision, and/or Multimodal LLM algorithms, with a strong foundation in statistics, optimization, and ML theory. Apply practical experience implementing distributed, multi threaded, and scalable applications using frameworks such as Ray, Horovod, or DeepSpeed. Communicate complex technical concepts effectively and build trust with stakeholders at all levels. Preferred Qualifications, Capabilities, and Skills Design and deploy production ML pipelines using DAG frameworks, including custom operator development and pipeline optimization. Architect and implement high throughput, low latency microservices with gRPC, REST, and GraphQL, including protocol buffer schema design, streaming endpoints, and load balancing. Apply hands on experience with parameter efficient fine tuning (LoRA, QLoRA, IA3), model quantization (INT8, FP16, GPTQ), and quantization aware training for LLMs at scale. Demonstrate deep knowledge of distributed training strategies, memory optimization, and inference acceleration for large scale multimodal models. Orchestrate advanced agentic workflows, including multi agent coordination, stateful task management, and integration with enterprise event driven architectures. Equal Opportunity Statement We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit FAQs for more information about requesting an accommodation.

We are looking for a Principal Architect to lead our technology strategy in AI (Artificial Intelligence), Generative AI, IA (Intelligent Automation) and agentic solution development. As a vital force driving the strategic and technical evolution of the Global Streaming Platform, this role empowers the organisation to harness ground breaking advancements in AI, including Large Language Models (LLMs), agent workflows, and machine learning infrastructures. By seamlessly integrating these cutting edge technologies into secure, scalable, and high performance enterprise solutions, the Principal Architect will enable transformative growth and ensure the company maintains its position as a world class leader. This role requires deep knowledge in AI and IA technologies, strong architectural skills, and a strategic approach to recommend tailored platform transformations and deliver advanced AI solutions to maintain the business at its world class position. What you'll do: Architectural Leadership Oversee the comprehensive architecture strategy for developing and deploying AI applications and solutions, considering data management, cybersecurity, legal aspects, appropriate platform and infrastructure adaptation and third party vendor selection and integration. Recommend the tailored level of transformation required within the current platform to adapt and exploit at scale the adoption of AI based technologies guaranteeing cost efficiency, reliability, performance and security. Design and maintain an AI extension to the platform as an integrated technology stack, independent of any specific vendors but capable of integrating with major AI models and third party commodities, for porting self serving AI in house developed solutions. Contribute to the AI roadmap and identify AI driven efficiency, innovation or automation opportunities maintaining alignment with business goals, regulatory or compliance requirements and ethical principles. Solution Design Partner with product and engineering teams to translate business requirements into scalable AI solutions. Lead the evaluation, selection, and integration of AI platforms and models, tools, and technologies. Ensure optimized integration of AI solutions with existing systems and data sources. Technical Expertise Collaborate with the product teams to assist in the refinement of AI related product requirements, and to provide early, high level advice on opportunities and possible solutions. Stay current with emerging AI trends, technologies, protocols, research breakthroughs, model development and AI software design pattern and best practices. Provide technical guidance and mentorship to the engineering teams. Collaboration and Communication Foster strong relationships with stakeholders, including business leaders, product managers. Collaborate with senior leadership to align AI initiatives with organizational goals. Communicate complex technical concepts to non technical stakeholders effectively. Promote a collaborative and innovative AI culture within the whole organisation. Work closely with project managers, data scientists, developers and IT teams to define project scope, objectives, deliverables and solutions. Partner with the FinOps team to ensure implementation of adequate monitoring and budgetary guardrails. Work closely with the procurement and legal team in the negotiations with vendors. Governance and Compliance Establish governance and define internal standards, guidelines, and best practices to ensure data privacy, security, and ethical use of AI. Ensure compliance with industry standards and international regulations. What you'll bring: Advanced degree in Computer Science, AI, or a related field. Contributions to open source AI projects or published research in AI/ML. Extensive experience in software or systems architecture, with strong focus in AI/ML domains. Proven experience designing and deploying AI solutions using frameworks such as LangChain, RAG, and vector databases or the MCP protocol. Deep understanding of LLMs, prompt engineering, model evaluation, and fine tuning strategies. Strong proficiency in ML frameworks (e.g., TensorFlow, PyTorch) and cloud platforms (AWS, Azure, GCP). Experience with AI infrastructure components including model gateways, orchestration layers, and observability tools. Familiarity with AI governance, data privacy, international regulation and ethical AI frameworks. Excellent leadership, communication, and interpersonal skills. Strong analytical and problem solving abilities. Ability to work in a fast paced, dynamic environment. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Your office space Osterley Our Osterley Campus is a 10 minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon.

Senior Infrastructure Engineer (NetDevOps) Certain Advantage are hiring for a Senior Infrastructure Engineer based in either Manchester, Blackpool, Newcastle, Leeds, or Birmingham. This role is on an initial contract until the end of March 2027. Responsibilities Design, implement, and enhance enterprise network infrastructure across data centre, hybrid, and cloud environments. Engineer and implement network traffic flows to support business critical services. Build and maintain secure hybrid connectivity across Azure, AWS, and OCI. Implement and manage Palo Alto firewall policies across on prem and cloud environments, aligned to Zero Trust principles. Design and operate high availability network services, including routing, segmentation, and resilience. Develop and maintain network automation using tools such as Python, Ansible, and Infrastructure as Code. Collaborate with architecture and platform teams to ensure solutions align with engineering standards and strategic direction. Contribute immediately to delivery work, demonstrating the ability to operate with minimal ramp up. Document designs and changes clearly and consistently, supporting maintainability and knowledge sharing. Qualifications Strong hands on experience in enterprise networking (OSPF, BGP, secure traffic design). Deep knowledge of Palo Alto firewalls and Zero Trust security principles. Experience with data centre technologies (VXLAN/EVPN, VRF, multi site fabrics, load balancing). Proven network automation skills (Python, Ansible, Terraform, CI/CD). Solid cloud and hybrid networking experience (Azure, AWS, or OCI). Background delivering engineering solutions in large scale, complex environments. Able to work across multiple priorities with minimal ramp up. Active SC Clearance. Does this sound like your next career move? Apply today.

About UBDS UBDS Group empowers organizations to achieve remarkable digital transformations through innovative technology solutions. We work with clients across the public and private sector to design and build products, platforms and services that genuinely make a difference to users. We're looking for a Senior Data Engineer who combines deep technical capability with a strong consulting mindset. Someone who enjoys ambiguity, cares about users, and can turn messy business problems into robust, production-grade data solutions. The Role As a Senior Data Engineer at UBDS, you'll work closely with clients, designers, analysts and engineers to shape and deliver modern data solutions end to end. You'll be trusted to lead technical thinking, make pragmatic design decisions, and support teams in delivering high quality outcomes that stand up in the real world. This is a hands on role with influence: you'll be building, guiding others, and helping clients understand what good looks like. What You'll Do Turn ambiguous business problems into clear data, analytical and technical solutions. Design, build and operate production grade data pipelines, models and products using SQL, Python and modern data engineering frameworks. Architect and work across data warehouses, lakehouse and event driven patterns, including strong semantic models for analytics and visualisation. Deliver solutions on cloud data and AI platforms (AWS/Azure), applying solid software engineering, testing and CI/CD practices. Embed analytics, experimentation, AI/ML integration, governance, security and data quality best practices by default. Create clear data visualisations, narratives and consultant grade materials that help clients understand and act on insight. Work closely with users and stakeholders in Agile, client driven environments, learning from live services and real world feedback. Apply strong critical thinking, attention to detail and relevant industry and government standards to deliver solutions that are easy to hand over, maintain and evolve. What We're Looking For Core Data & Technical Skills Ability to translate ambiguous business problems into clear data, analytical and technical requirements. Strong SQL and Python skills for data modelling, transformation, automation and analysis. Experience designing data models and architectures across data warehouses, lakehouse and event driven patterns, or strong semantic modelling in Power BI or other visualisation tools. Hands on experience with modern data engineering frameworks such as Spark / PySpark, Pandas and orchestration tools. Experience working with cloud data and AI platforms on AWS or Azure (e.g. Databricks, Redshift, Bedrock, Microsoft Fabric). Solid software engineering fundamentals, including Git, testing and QA, CI/CD pipelines and modular, maintainable design. Strong analytics and statistical reasoning, including metric design, experimentation and interpretation of results. Practical AI/ML literacy, including integrating model APIs, evaluation approaches and prompt orchestration. Experience applying data governance, security and quality best practices, such as access control, data catalogues, lineage and GDPR awareness. Ability to communicate insight through data visualisation and storytelling using tools like Power BI, Tableau or Python based charts. Consulting & Delivery Mindset A user centred approach: curiosity about who will use the solution, why it matters, and the impact it will have. Confidence communicating clearly and working effectively in ambiguous, client driven environments. Ability to produce high quality, consultant grade slides and written materials. Strong critical thinking, with a clear and logical approach to defining and delivering data solutions. Proven experience delivering production grade solutions to real users, supporting live services and learning from real world feedback. High attention to detail, including readable code, consistent naming conventions and clear technical and user documentation. A product driven mindset, with experience delivering features and outcomes iteratively in Agile teams. Familiarity with relevant industry and government standards, and a habit of seeking out appropriate standards at the start of delivery rather than reinventing solutions. Employee Benefits Training - All team members are offered a number of options in terms of personal development, whether it is technical led, business acumen or methodologies. We want you to grow with us and to help us achieve more. Private medical cover for you and your spouse/partner, offered via Vitality. Discretionary bonus based on a blend of personal and company performance. Holiday - You will receive 25 Days holiday, plus 1 day for Birthday and 1 day for your work anniversary in addition to UK bank holidays. Electric Vehicle leasing with salary sacrifice. Contributed Pension Scheme. Death in service cover. Equal Opportunities We are an equal opportunities employer and do not discriminate on the grounds of gender, sexual orientation, marital or civil partner status, pregnancy or maternity, gender reassignment, race, colour, nationality, ethnic or national origin, religion or belief, disability or age.