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TalkTalk Business is one of the UK’s leading B2B technology & managed service providers, offering a full range of business-grade communications products and services, spanning internet access, data, voice and network infrastructure. For over 30 years, we’ve served businesses of every size – from national retailers to small and medium-sized enterprises – with future-proof, scalable technology and dedicated support. Building on this heritage, we’re focused on providing a comprehensive managed service portfolio, alongside our core connectivity specialisms, giving Enterprise organisations more choice and flexibility as they innovate and grow. Our mission is simple: to empower UK organisations to exceed their ambitions by delivering trusted service and innovative solutions. The Data Engineer role develops and maintains trusted, high-quality data pipelines, warehouse structures and analytics-ready datasets to support reporting, insights, decision-making and AI initiatives across the organisation. • Design, develop, and maintain data pipelines to ingest, cleanse, transform, and curate data from multiple source systems., • Build and optimise data warehouse structures that support reporting, insights, and AI use cases., • Develop scalable data solutions using Databricks, SQL, Python, and Azure data technologies., • Create and maintain high-quality datasets, semantic models, and data products for Power BI reporting and self-service analytics., • Implement data quality controls, monitoring, and validation processes to improve trust and confidence in organisational data., • Support the delivery of AI-ready data by ensuring data is accessible, secure, governed, and fit for purpose., • Collaborate with business stakeholders, analysts, and technology teams to understand requirements and deliver data solutions that drive value., • Contribute to the continuous improvement of data engineering standards, processes, and best practices., • Strong SQL development skills and experience working with large and complex datasets., • Experience building and maintaining data pipelines and ETL/ELT processes., • Hands-on experience with Databricks for data engineering and transformation workloads., • Proficiency in Python for data cleansing, transformation, automation, and analytics workflows., • Experience designing and supporting enterprise data warehouse solutions., • Experience developing and optimising Power BI datasets, semantic models, and reporting solutions., • Strong understanding of data quality, governance, and data management principles., • Experience working with Azure data technologies and cloud-based data platforms., • Ability to translate business requirements into scalable and maintainable data solutions. At TalkTalk Business we understand the importance of flexibility and connection in the workplace. That’s why we have adopted a hybrid approach to working. Our way of working is to work 3 out of 5 days in the office (adjusted for colleagues who are part-time) at our HQ in Soapworks, Salford Quays with the remaining days offering the option to work from home. We want to ensure you enjoy the collaboration and connection of the office environment, combined with the convenience of remote working. • Competitive Salary and Bonus Scheme: Earn a rewarding salary with a bonus scheme designed to recognise your hard work and dedication., • Comprehensive Benefits Package: Support your wellbeing, achieve a work-life balance, and plan for the future with our all-inclusive benefits., • Personal and Professional Growth: Take advantage of opportunities for career advancement and personal development. We've created a happy, diverse, inspiring workplace for real people, just like you. If you understand what customers want and are committed to making it happen, be a part of our story. #J-18808-Ljbffr

Location: Remote with travel to Manchester Salary : £42,000 per annum Vacancy Type: Permanent, Full Time As a Hosted Services Engineer, your role is crucial to our organisation playing an essential part in how our customer connect to Autoflow's bodyshop management systems (BMS) & complimenting suite of products, you will foster and facilitate market leading solutions by leveraging our hosted infrastructure estate (colocation). You will have demonstratable technical experience in management and configuration of VMWare and Hosted Network Infrastructure to manage our virtualised network and data centre environments. You are part of a team responsible for ensuring the performance, security, and scalability of our hosted infrastructure, supporting business-critical applications, and maintaining a high level of service availability. • Ownership and resolution of 1st and 2nd line hosted services support tickets., • Queue management and ticket prioritisation based on business impact and urgency., • Escalation management with vendors and third-party providers., • Accurate recording of work undertaken, resolution details and customer communications., • Contribution to problem management activities and known error documentation., • Supporting Major Incident response and restoration activities., • Manage virtualised network environments using VMWare NSX, vSphere, vSAN and other virtualisation technologies., • Oversee the maintenance, monitoring, and troubleshooting of hosted network infrastructure, ensuring maximum uptime and performance., • Configure networking components, including firewalls, switches, routers, load balancers, and VPNs., • Optimise network security, performance, and disaster recovery strategies for hosted environments., • Day to day Windows Server administration tasks, • Maintain and troubleshoot VMWare-based virtual environments., • Troubleshoot and resolve issues related to virtual machines, clusters, and storage in VMWare environments., • Ensure compliance with industry security standards and best practices (e.g., ISO 27001, Cyber Essentials, Cyber Essential+, GDPR)., • Assist with implementation of outcomes from regular security audits and vulnerability assessments on hosted infrastructure., • Assist with documenting network configurations, procedures, and incident reports., • Work closely with other IT teams and vendors to resolve issues., • Be available for 'on-call' rota system within the Service Delivery team, • Provide on-site data centre support as required by the business (Manchester Area), • Proficient in Windows Server operating systems (Windows Server 2019+), • Active Directory & Group Policy, • VMWare expertise: vSphere, ESXi, NSX, vSAN, Horizon, and related technologies., • Networking knowledge: TCP/IP, VLANs, VPNs, BGP, OSPF, DNS, DHCP., • Firewall and security solutions: Fortinet, Palo Alto, Cisco ASA, or similar., • Storage solutions: SAN, NAS, iSCSI, NFS. (Desirable), • Load balancers: Such as Kemp, F5 or similar. (Desirable), • Cloud platforms AWS, Azure, or hybrid cloud networking. (Desirable), • Experience with automation and scripting (PowerShell, Python, Ansible) (Desirable), • Minimum 5+ years of experience in network and virtualisation engineering., • Minimum 5+ years of experience in Microsoft Server Administration & Configuration., • Experience with Microsoft 365 products, specifically EntraID, Intune & Windows Defender, • Hands-on experience managing large-scale hosted environments (preferably in colocation)., • Proven expertise in troubleshooting complex networking and virtualisation issues., • Strong background in disaster recovery, backup, and business continuity planning., • Experience in monitoring and logging tools., • VMWare Certified Professional (VCP) or demonstrable experience., • Critical Thinking - Using logic and reasoning to identify the strengths and weaknesses of alternative solutions, conclusions or approaches to problems., • Complex Problem Solving - Identifying complex problems and reviewing related information to develop and evaluate options and implement solutions., • Judgment and Decision Making - Considering the relative costs and benefits of potential actions to choose the most appropriate one., • Systems Analysis - Determining how a system should work and how changes in conditions, operations, and the environment will affect outcomes., • Time Management - Managing one's own time and the time of others., • Coordination & Communication - Adjusting actions in relation to others' actions, being clear with expectations and sharing updates with the team, • Hold a full, valid UK driving licence. #J-18808-Ljbffr

New Permanent Opportunity for an SC Cleared Python Engineer / Data Engineer with a leading Public Sector Consultancy • Location: Manchester – hybrid working model, • Salary: Up to £75,000 DOE, • Clearance: Active SC required to start, • Type: Permanent, • Experience: Python, AWS/Azure/GCP, Git, CI/CD, SQL, ETL/Data Pipelines, IaC I'm currently working with a leading public sector technology consultancy delivering digital, data and technology projects across government. They're looking for a Python Engineer / Data Engineer to join their growing team in Manchester. This is a hands‑on engineering role that would suit a strong Python / Backend Engineer with an interest in data engineering and cloud technologies. You’ll work on modern data platforms and services, developing Python-based solutions while gaining exposure to data pipelines, cloud infrastructure, CI/CD and Infrastructure as Code. • Develop and maintain robust Python-based applications, services and data solutions., • Build and support data pipelines, ETL/ELT and data transformation processes., • Work with cloud platforms including AWS, Azure or GCP., • Apply software engineering practices including Git, testing and CI/CD., • Support cloud infrastructure and automation using Terraform / IaC., • Work with databases and SQL., • Support data quality, cleansing and standardisation., • Collaborate with engineers, data specialists and client stakeholders., • Work within Agile, multidisciplinary engineering teams., • Python – strong hands‑on development experience, • Cloud – AWS, Azure or GCP, • Git – version control, • CI/CD – understanding of modern software delivery, • SQL – basic commercial experience, • Data Engineering – ETL/ELT, data pipelines and transformation, • Testing – unit, integration and data quality testing, • IaC / Terraform – awareness or practical experience, • SC Clearance – active clearance required to start, • Docker, • Airflow / AWS Glue, • Pandas, • Data Lakes / Data Warehouses, • Public sector or consultancy experience, • Agile delivery experience, • Experience working alongside data science / ML teams #J-18808-Ljbffr

CreateFuture is an AI-native consulting partner where people do work that matters and are supported to do it well. We work side by side with our clients, challenging what's not working and helping them to build the future. We work alongside organisations such as PayPal, adidas, NatWest, FanDuel, and Money Saving Expert, building digital products and services that make a difference while always putting people first. Our commitment to craft, quality, and culture has helped us scale to over 600 people in just a few years. Our .Net engineering capability builds backend services and APIs for clients across sectors, from payment integrations to large-scale platform migrations, always working as part of cross-functional scrum teams alongside testers, product owners and designers. As a Senior .Net Engineer, you'll take ownership of complex backend components end-to-end, operating with greater autonomy while mentoring less experienced colleagues. You'll be a trusted technical voice within your project team, helping to shape how the team builds, tests and ships software. • Designing and building backend services and APIs in C# and .NET/.NET Core, taking ownership of technical decisions within your area with minimal supervision, • Integrating with third-party APIs and systems, such as payment gateways, and designing resilient, well-documented interfaces for other developers to consume, • Mentoring and supporting less experienced engineers through code review, pairing and technical guidance, helping them grow their skills, • Championing engineering best practice, clean code, and thorough unit and integration testing across your project team, • Working as a senior member of a cross-functional scrum team, contributing to technical decisions, estimation and planning, • Identifying opportunities to improve the scalability, maintainability and long-term robustness of the codebase, and proposing solutions to the team, • Have strong, proven experience building APIs using C# and .NET/.NET Core, including ORM and dependency injection experience with relational or NoSQL data stores such as SQL Server, PostgreSQL or Cosmos DB, at a senior level, • Have a track record of mentoring or supporting less experienced engineers, through code review, pairing or technical coaching, • Have deep experience with engineering best practice, clean code and a strong testing culture, including unit and integration testing, • Have cloud experience using AWS or Azure (Azure is especially common on .NET stacks) - the specific provider matters less than solid cloud fundamentals; experience with infrastructure-as-code tooling such as Terraform, Bicep or ARM Templates is a plus, and we're happy to help you broaden your platform knowledge We trust people to do their best work. That means flexibility over rigid rules, impact over activity, and real investment in your growth both professionally and personally. You'll be part of a supportive, and friendly culture, surrounded by smart, curious people who care deeply about what they do. We offer flexible working, including hybrid and remote options. Our office hubs are located in Edinburgh, Leeds, Manchester, London and Bulgaria, with occasional travel to client sites or CreateFuture offices when needed. We trust you to manage your time balancing collaboration with client time and focused work. What matters is the impact you have, not how busy you look. We try to keep our hiring process clear, fair and respectful of your time. We aim to get back to everyone who applies and we will be upfront about where you are in the process. It usually looks like this: • Call with our Talent Acquisition Team, • Role specific capability interview Depending on the role, we might also ask you to do a short presentation, a practical or technical task or have a values focused conversation. We will explain what is involved before anything happens. We believe diverse teams build better workplaces and better products. We want CreateFuture to be a place where people feel able to be themselves and do their best work. If you need any adjustments or support during the application process, just. We will do what we can to help. This role requires to be onsite in Manchester 3 days per week! Candidates for this role must be eligible to live and work in the UK. CreateFuture partners with clients across a range of industries, including gambling, alcohol, commercial insurance, and banking. #J-18808-Ljbffr

We've partnered with one of the most iconic brand organisations in the world, currently seeking a Senior Infrastructure Engineer to own a hybrid Azure and on-premise estate alongside a small, highly skilled team. On event days, you're the person keeping tens of thousands of people moving through access systems, point of sale, digital signage and connectivity infrastructure, technology that cannot fail when it matters most. Every day, you'll be supporting an environment where your work has a direct and visible impact on one of the world's most recognised organisations. • Design, deploy and manage infrastructure across Azure and on-premise Windows environments, • Provide 3rd line support across M365, Entra ID, Intune, Autopilot and Windows Server, • Own endpoint management, including device compliance, Conditional Access and Autopilot provisioning, • Support and monitor critical live event operational systems, including turnstiles, EPOS, digital signage and Wi-Fi, • Collaborate with cybersecurity and data teams to ensure platforms are secure, compliant and optimised, • Manage core networking, including VLANs, VPN, point-to-site and SASE, • Mentor and develop second and third-line engineers, • Liaise with managed service partners to deliver contractual solutions, • Strong hands-on Azure experience in hybrid environments, multi-subscription estate, five years established and well-architected, • Deep Microsoft ecosystem knowledge, M365, E5, Intune, Autopilot, Windows Server, • Microsoft Entra ID, Conditional Access, RBAC, PIM, identity governance, • Microsoft Defender suite, Endpoint, Identity, Cloud, Sentinel, • Networking, VLANs, VPN, point-to-site, SASE, DNS, firewalls, load balancing, • Hyper-V virtualisation and on-premise server management across a 60-70 server estate, • Calm under pressure in live, high-stakes operational environments, • Mentoring experience and strong stakeholder engagement skills, • CI/CD and automation exposure, Azure DevOps, GitHub Actions, PowerShell desirable Annual performance bonus up to 10%, 25 days annual leave plus bank holidays with option to purchase additional days, Electric Vehicle scheme via Octopus, Cycle to Work scheme, Aviva Digicare+ Workplace wellness platform including mental health resources and digital health checks, Onsite gym facilities at HQ, Regular social events and team building, Enhanced family leave policies, LinkedIn Learning and internal training programmes #J-18808-Ljbffr

At Canopius, our delivery teams are responsible for ensuring that business users can effectively harness data insights to drive strategic decision making. Our data strategy is centred around an enterprise Lakehouse platform on Databricks, avoiding fragmented, ungoverned silos on legacy technologies that hamper creativity and scalability. We are building a governed, interoperable data estate that enables self-service for our business teams and provides the trusted foundation for advanced analytics, machine learning and AI to accelerate change across our industry. This role is an opportunity to apply yourexpertisein Azure technologies, data storage and data engineering techniques to build, extend andmaintainour data ecosystem, which is central to all reporting and analytics across Canopius. You will contribute to key business transformation projects, working closely with senior business stakeholders andleveraging modern technologies. The role includes line management responsibility for 2 junior and a mid-level data engineer, with the potential to grow over time as required. As a senior member of the team, you will also act as a role model and mentor to other engineers, providing guidance and support. The ideal candidate is an experienced data engineer looking for a new challenge who is enthusiastic about using technology to accelerate change within our industry. You should have the ability to understand business problems and deliver efficient and reliable solutions tailored to our unique challenges, while keeping to a high degree of technical excellence and good data engineering practices. You should be comfortable collaborating and working as part of a dynamic multi-disciplinary team. This role is central to delivering Canopius’ data strategy through development of new data capabilities and supporting the final transition from legacy SQL Server-based environments. Alongside hands-on delivery, the role provides technical leadership across data engineering initiatives, helping to establish a future-ready, cloud-native data ecosystem. This is a hybrid role, working 2-3 days per week from our Manchester office. Responsibilities will include: • Provide technical leadership and direction across data engineering initiatives., • Design solutions for production operation, including documentation, monitoring, alerting, logging, access and defined support responsibilities. Ensure solutions are secure, scalable, maintainable, and aligned with organisational standards and governance requirements., • Design, build, and optimise data pipelines on Databricks using PySpark and Spark SQL, applying Delta Lake and a medallion/Lakehouse architecture., • Implement data validation and reconciliation checks, and automated testing across pipelines to ensure trusted, accurate outputs., • Support the migration and re-platforming of legacy SQL Server data warehouse processes as required., • Challenge requirements constructively and provide guidance on what is technically feasible, scalable, and commercially viable., • Communicate technical solutions, trade-offs, risks, and opportunities to both technical and non-technical audiences, managing expectations and influencing decisions with evidence-based recommendations., • Lead technical planning activities, ensuring work is appropriately defined, estimated, and prioritised. Provide delivery estimates and communicate progress and blockers to stakeholders., • Collaborate with Product Owners, Business Analysts, and Solution Architects to define product vision and technical roadmaps., • Drive adoption of modern engineering practices, AI technologies, and automation opportunities across the team., • Drive delivery of complex, end-to-end work items, seeking clarification of ambiguous specifications and proactively flagging risk of technical debt., • Management of own task list and ensuring that plans are agreed., • Line management of junior and mid-level data engineers in the team., • Mentor and support engineers within the squad through pairing, peer review of pull requests, constructive feedback and knowledge sharing, ensuring successful delivery of sprint objectives and acting as a role model to the team., • Undertake other ad-hoc duties as required. Skills and Experience • Strong understanding of data engineering principles, data architecture, and cloud-based data platforms., • Proficient in Python (PySpark) and SQL for building and optimising data transformations at scale., • Strong hands-on Databricks experience., • Experience with Azure data storage technologies (Azure SQL, Data Lakes, Blob Containers)., • Experience with data transformation and modelling techniques., • Thorough understanding and experience with data warehousing concepts and dimensional modelling., • Experience with ETL and orchestration tooling (Data Factory, Databricks)., • Experience with data governance and cataloguing using Databricks Unity Catalog (access control, lineage, discoverability)., • Experience with Azure DevOps, including branching and release/deployment strategies; Git, CI/CD and DevOps Pipelines., • Hands on experience developing and supporting commercial enterprise data solutions in a cloud hosted environment., • Demonstrable experience of supporting internal Analytics, Data Science, BI and reporting functions., • Experience working in an Agile and Scrum environment, with proven ability to work effectively in cross-functional development teams., • Thorough understanding and experience with all aspects of SQL Server including the building of stored procedures to support complex data transformations., • Experience leveraging AI-assisted development tools and copilots to improve engineering productivity and delivery outcomes is advantageous., • Strong problem-solving skills with a continuous improvement mindset and willingness to challenge existing approaches and adopt new technologies where appropriate., • Continuous improvement mindset - sets and maintains development standards, drives efficiencies in the E2E development process., • Good Communication skills, with the ability to explain complex topics in an easy-to-understand manner for both technical and non-technical audiences. Able to translate ambiguous business needs into solutions, defining the appropriate data to use, communicating time/effort/risk/value of different approaches., • Familiarity with specialty (re)insurance or Lloyd's market data such as bordereaux, delegated authority, underwriting and claims is advantageous. #LI-CNP Our benefits We offer all employees a comprehensive benefits package that focuses on their whole wellbeing. • hybrid working, • competitive base salary, • non-contributory pension, • discretionary bonus, • insurances including health (family) and dental cover, • many other benefits to enhance financial, physical, social and psychological health About Canopius Canopius is a global specialty lines (re)insurer. We are one of the leading insurers in the Lloyd's of London insurance market with offices in the UK, US, Singapore, Australia and Bermuda. At Canopius we foster a distinctive, positive culture which enables us to bring our whole selves to work to flourish as people, and build a business which delivers profitable, sustainable results. Based in incredible new offices in Manchester, Canopius operates a flexible, hybrid working model and is committed to providing an environment that challenges employees to be their best and where everyone's unique contributions are recognised, valued and respected. We are fully committed to equal employment opportunities for all applicants and providing employees with a work environment free of discrimination and harassment. All employment decisions are made regardless of age, sex, gender identity, ethnicity, disability, sexual orientation, socio-economic background, religion or beliefs, marital or caring status, or any other status protected by the laws or regulations in the locations where we operate. We encourage and welcome applicants from all diverse backgrounds. We make reasonable adjustments throughout the recruitment process and during employment. Please let us know if you require any information in an alternate format or any other reasonable adjustments. • Job Identification 827, • Job Category Data, • Posting Date 10/08/2026, 12:15 PM, • Job Schedule Full time, • Locations Level 5, Manchester, M2 3AB, GB (Hybrid) #J-18808-Ljbffr

Date Posted: 2026-09-18 Country: United Kingdom Location: Manchester, Lancashire Position Role Type: Onsite At RTX, the world's largest aerospace and defense company, 185,000 great minds are united by purpose and inspired to make a difference solving the world’s most complex problems. With our three market leading businesses, world-class operations and investments in research and development, we offer capabilities and opportunity no one else can. Together, we push the boundaries of known science and find new ways to connect and protect our world. Raytheon brings the strength of more than 100 years of experience and renowned engineering expertise to meet the needs of today’s mission and stay ahead of tomorrow’s threat. We deliver solutions that help our nation and allies defend freedoms and deter aggression, creating a safer, more secure world. Join us and help shape the future of aerospace and defense. Raytheon UK have a full time, permanent opportunity for a Senior Software Engineer to join our team on our Manchester or Gloucester sites. You'll be part of our experienced software dev function, working in a cross-functional team, delivering and deploying critical software across a variety of business areas. Due to the interesting work we do and the sector this team is working in, we require all candidates to be willing to attain an eDV clearance. In this area of the business we prove DevSecOps at scale, Artificial Intelligence, Machine Learning, cyber and geospatial intelligence capabilities to support the defence, intelligence and cyber sectors. Collaborating with customers and suppliers to deliver secure, mission critical systems using the latest technologies and innovations. • Design and build software using industry best practice, • Collaborate with stakeholders and other engineers, • Contribute to the completion of milestones associated with your project, • Contribute to continuous improvement within your team, • Collaborate with your peers on technical direction within your team, • Core Software Engineering, • JavaScript frameworks (React, NextJS), • TypeScript, • Python, • Java REST API development, • OpenAPI / Swagger, • Cloud & Infrastructure, • Cloud services (AWS or Azure), • Containerisation & Orchestration (Docker, Kubernetes, OpenShift), • Infrastructure as Code (Terraform, Ansible), • Data & Search Technologies, • Relational Databases (e.g. PostgreSQL), • Elasticsearch / Opensearch, • Testing & Quality, • Unit testing and automation, • Testing frameworks (e.g. Mocha, Jest, Cypress), • Delivery & Collaboration, • Experience working in an Agile delivery team, • Use of code repositories (e.g. GitLab); familiarity with branching strategies, pull requests and merge processes Requires advanced knowledge of work area typically obtained through advanced education combined with experience. May have practical knowledge of project management. Practical to substantial knowledge of RTX projects, programs or systems with the ability to make enhancements and leverage in daily work. Typically requires: A University Degree or equivalent experience and minimum 5 years prior relevant experience, or An Advanced Degree in a related field and minimum 3 years experience Engineering/Other Technical Positions: Typically requires a degree in Science,Technology, Engineering or Mathematics (STEM) and a minimum of 5 years of prior relevant experience unless prohibited by local laws/regulations. RTX adheres to the principles of equal employment. All qualified applications will be given careful consideration without regard to ethnicity, color, religion, gender, sexual orientation or identity, national origin, age, disability, protected veteran status or any other characteristic protected by law. Please ensure the role type defined below is appropriate for your needs before applying to this role. This position is classified as: Onsite: Employees who are working in Onsite roles will work primarily onsite. This includes all production and maintenance employees, as they are essential to the development of our products.] Hybrid: Employees who are working in Hybrid roles will work regularly both onsite and offsite. Ratio of time working onsite will be determined in partnership with your leader. Remote: Employees who are working in Remote roles will work primarily offsite (from home). If you live within a reasonable commute of an RTX site with other colleagues you interact with, your manager will discuss whether there is a degree of onsite presence associated with this role. Candidates will learn more about role type and current site status throughout the recruiting process. For onsite and hybrid roles, commuting to and from the assigned site is the employee’s personal responsibility. Privacy Policy and Terms: Click on this link to read the Policy and Terms RTX is an aerospace and defense company that provides advanced systems and services for commercial, military and government customers worldwide. It comprises three industry-leading businesses – Collins Aerospace, Pratt & Whitney, and Raytheon. Its 195,000 employees enable the company to operate at the edge of known science as they imagine and deliver solutions that push the boundaries in quantum physics, electric propulsion, directed energy, hypersonics, avionics and cybersecurity. The company, formed in 2020 through the combination of Raytheon Company and the United Technologies Corporation aerospace businesses, is headquartered in Arlington, Virginia. #J-18808-Ljbffr

Manchester | Hybrid, ideally 2 days per week in office We're working with a truly disruptive FinTech that is continuing to invest heavily in its data and technology capability. With a growing Data Science function and around 3-5TB of new data being processed each week, they're looking for a Data Engineer to join the team and help build and develop the platform behind it. This isn't necessarily a traditional Data Engineering profile. They're open to people from Data Engineering, Platform, DevOps or Systems Engineering backgrounds, but hands-on Databricks and web scraping experience are essential. You'll work within a cross-functional team, contributing to the move towards a Databricks-native environment and helping build reliable, scalable data and platform capabilities. You'll be working across: • Databricks, Python, SQL and Spark, • Web scraping and automated data collection, • High-volume data ingestion and transformation, • Production ETL/ELT pipelines, • APIs, SFTP/FTPS and automated data retrieval, • CI/CD, automated testing and deployment, • Platform reliability, monitoring and troubleshooting, • Azure infrastructure, security and governance, • Data Science, ML and increasingly agentic workflows The focus is production engineering rather than building AI models. You'll be helping create the foundations that allow Data Science and automated workflows to operate effectively. Databricks and web scraping are the two big ones. Alongside these, we're looking for hands-on experience with Python, SQL/Spark and ETL/ELT, an understanding of databases and data warehousing, and some exposure to platform, DevOps or systems engineering principles. Just as important is mentality. They want someone who is technically curious, excited by what's happening across AI and constantly looking at what's next. Someone who experiments, keeps up with new tools and approaches, and naturally wants to stay ahead of the curve rather than waiting for new technology to become mainstream. You don't need to be an expert in everything. They're looking for strong foundations, the right mindset and someone who wants to keep developing within a highly technical environment. A STEM background is beneficial, but not essential. • Playwright/Selenium or similar web scraping/automation tooling, • Databricks Asset Bundles, Lakeflow Jobs/Pipelines, Unity Catalog, Volumes and/or Lakebase, • Agentic or AI-enabled engineering workflows, LLM integrations or AI coding tools, • Terraform/Bicep, • Scala, PowerShell and YAML You'll join a highly technical, collaborative team working closely with a growing Data Science function. It's a great environment for someone who wants to deepen their Data Engineering experience while being exposed to some of the newest developments across data and AI. Ideally you'll spend around two days per week in the Manchester office, but it's an output-driven environment with plenty of autonomy. We welcome applications from people of all backgrounds and experiences. If the role interests you but you don't tick every box, we'd still encourage you to apply. Different experiences, perspectives and routes into technology are valued. #J-18808-Ljbffr

Clio is the global leader in legal AI technology, empowering legal professionals and law firms of every size to work smarter, faster, and more securely. We are transforming the legal experience for all by bettering the lives of legal professionals while increasing access to justice. You are an experienced engineer who enjoys solving complex problems and delivering high-quality software. You value collaboration, curiosity, and learning as much as coding. You understand the importance of clean code, maintainable architecture, and system performance, and you want to work in a culture where your contributions matter and your growth is supported. • Developing full-stack features using C#, .NET, HTML, CSS, JavaScript, and SQL., • Writing and optimizing hand‑crafted SQL queries to ensure high performance., • Designing and implementing event‑driven workflows using Event Store., • Enhancing search and data projections with ElasticSearch., • Modernizing components of the platform to .NET8+ and Svelte.js, including containerized deployments., • Automating infrastructure with Pulumi and Azure DevOps., • Participating in architecture discussions, code reviews, and maintaining engineering best practices., • Strong experience with C#/.NET, including async/await, memory management, and resource handling., • Deep knowledge of SQL Server, including query optimization, indexing, execution plans, and performance tuning., • Solid understanding of HTML5, CSS3, Flexbox, and CSS Grid., • 5+ years of varied software engineering experience, ideally including scalable systems., • Experience with distributed systems, monoliths, or microservices., • Demonstrate a keen interest in improving your craft by using AI., • Serious bonus points if you have:, • Exposure to ElasticSearch, Event Store, Neo4j, InfluxDB, Seq, PowerBI., • Experience with micro‑ORMs such as PetaPoco., • Contributions to open‑source projects or personal coding projects., • Cloud infrastructure experience, especially Azure., • Strong grasp of clean code principles, OOP design, and software patterns. Compensation is one of the main components of Clio’s Total Rewards Program. We have developed a series of programs and processes to ensure we are creating fair and competitive pay practices that form the foundation of our human and high‑performing culture. Some highlights of our Total Rewards program include: • Competitive, equitable salary, • Clio offers a flexible hybrid work environment, • 25 days holiday + bank holidays, • Private Healthcare with Life Insurance & Critical Illness cover, • Pension contribution, • Professional development and growth options, • Clioversary recognition program with special acknowledgement at 3, 5, 7, and 10 years The expected salary range for this role is £81,600 to £110,400 GBP. Initial placement within the range is informed by geographic region, experience, and skillset, with room to progress as impact and tenure grow. Final offer amounts will vary based on candidate profile. Our team shows up as their authentic selves, and are united by our mission. We are dedicated to diversity, equity and inclusion. We pride ourselves in building and fostering an environment where our teams feel included, valued, and enabled to do the best work of their careers, wherever they choose to log in from. We believe that different perspectives, skills, backgrounds, and experiences result in higher‑performing teams and better innovation. We are committed to equal employment and we encourage candidates from all backgrounds to apply. Clio provides accessibility accommodations during the recruitment process. Should you require any accommodation, please let us know and we will work with you to meet your needs. Learn more about our culture at clio.com/careers. We use artificial intelligence to improve all of our operations. In recruitment, AI helps us streamline the process for greater efficiency. However, we've built our systems to ensure that a human always reviews AI-generated output, and we never make automated hiring decisions. Clio is on a mission to transform the legal experience for all. Clio is the global leader in legal AI, building the platform that powers the future of legal work. With the scale, data, and ambition to redefine how the legal industry operates, we are advancing a comprehensive strategy that spans the full lifecycle of legal work—from knowledge and insight to execution and outcomes. At the center of this vision is the Intelligent Legal Work Platform, the legal industry’s first System of Action. By combining Clio’s core product suite with Clio Work and AI‑native capabilities, the platform turns information into insight and insight into action. As we expand into the enterprise, Clio for Enterprise extends this foundation to support the complexity, scale, and operational rigor of global organizations through solutions like Clio Operate and Vincent by Clio. Backed by industry‑leading data and intelligence, Clio is building the infrastructure that enables legal teams to operate with greater speed, confidence, and impact. Clio’s leadership and momentum have been recognized globally. In 2022, we achieved Centaur status, a milestone reached by fewer than 200 private SaaS companies worldwide. We are a proud honoree of the Forbes Cloud 100 and Fortune’s Future 50, have been named Innovator of the Year, and are a Platinum Club member of Canada’s Best Managed Companies. We are consistently recognized as one of Canada’s Top 100 Employers and a Top Employer for Young People, with our international offices also earning placements on Great Place to Work’s Best Workplaces lists. Headquartered in Vancouver, Canada, Clio has grown to more than 2,000 employees across offices in Toronto, Calgary, Dublin, Manchester, Sydney, Barcelona, and Bogotá—bringing together diverse perspectives to solve one of the world’s most complex and impactful professional challenges. Join Clio and help define the future of legal work through AI. Learn more at clio.com/careers. #J-18808-Ljbffr

Our client is a specialist technical consultancy delivering bespoke technology and data solutions to solve complex operational challenges. Due to continued growth, they are looking for an experienced Data Engineer to join their growing engineering team. This is an exciting opportunity to work on high-priority projects supporting customers across Central Government, Defence, National Security, and Critical National Infrastructure. As a Data Engineer, you will work alongside experienced technical professionals to design, build, and maintain robust and scalable data pipelines that ensure data availability, accuracy, security, and performance. You will work closely with customers and internal stakeholders throughout the full project lifecycle, while also contributing to data engineering strategy, technical roadmaps, research, and the adoption of emerging technologies. The successful candidate can work from one of the organisation's UK offices, including Bristol, Cheltenham, or London, or work remotely from home. The role will involve occasional travel to customer sites and other company locations when required. • Interpret, validate, and analyse data requirements across complex environments., • Gather, profile, and analyse large-scale structured datasets to ensure data accuracy, quality, and completeness., • Design and implement robust ETL/ELT frameworks for ingesting, transforming, validating, normalising, and cleansing data., • Develop and maintain scalable data pipelines to support analytics and operational decision-making., • Implement data quality controls and prepare datasets for reporting and visualisation., • Design and maintain data models to support analytical and operational requirements., • Manage and optimise cloud and data storage solutions, including Amazon S3, Azure Blob Storage, BigQuery, and Snowflake., • Contribute to data management standards, policies, governance frameworks, and best practices., • Support data synthesis and anonymisation activities to ensure compliance, security, and appropriate data handling., • Develop robust data models within secure and highly controlled environments., • Monitor and optimise data workflows to improve performance, reliability, scalability, and cost efficiency., • Evaluate emerging data technologies and identify opportunities to improve engineering capabilities., • Contribute to data analytics and visualisation strategies., • Present technical findings and recommendations to customers and stakeholders., • Work collaboratively with technical and non-technical teams throughout the project lifecycle. We are looking for an experienced Data Engineer who enjoys solving complex technical problems and working collaboratively with customers and colleagues. You should have a strong understanding of modern data engineering principles, with experience working in complex or highly regulated environments. • Proven experience working as a Data Engineer within complex technical environments., • Strong knowledge of data management principles, including data modelling, integration, quality, and governance., • Strong commercial experience with Snowflake and Databricks essential., • Experience assessing existing data management systems and recommending improvements., • Experience with modern data architectures, including cloud-based and distributed systems., • Strong proficiency in SQL and Python., • Experience with data engineering and pipeline technologies such as Apache Airflow and Spark., • Experience working with cloud platforms, particularly AWS and Azure., • Knowledge of big data technologies and distributed data processing., • Understanding of data analytics and visualisation., • Awareness of data standards, interoperability, data governance, and data sharing., • Experience working with sensitive or security-conscious data environments would be highly beneficial., • Strong analytical, problem-solving, communication, and stakeholder-management skills. Due to the nature of the projects and industries supported by our client, the successful candidate will need to be eligible to obtain high-level UK security clearance. • Hold British citizenship; and, • Have been permanently resident in the UK for the previous five years. This is an excellent opportunity to join a technically strong organisation with the culture and flexibility of a growing specialist business, alongside the stability and benefits of an established organisation. • Flexible working: 37.5-hour working week with flexibility around how you structure your time., • Hybrid/remote working: Choice of working from home or from a UK office., • Learning & Development: Budget available for conferences, training courses, certifications, and other professional development., • Career Development: Opportunities to develop your technical expertise and progress your career., • Social Culture: Regular team and company social events., • Pension: Employer-matched pension scheme., • Healthcare: Comprehensive healthcare benefits., • Collaborative Environment: A supportive, inclusive, and team-focused working culture. Our client is committed to creating an inclusive and diverse workplace where everyone is treated fairly and with respect. Applications are welcomed from candidates of all backgrounds, regardless of ethnicity, age, gender, veteran status, religion or belief, sexual orientation, marital status, disability, or health condition. Reasonable adjustments can be provided throughout the recruitment process for candidates who require them. The organisation is committed to ensuring that all applicants have a fair and accessible recruitment experience. We are looking for an experienced Data Engineer who enjoys solving complex technical problems and working collaboratively with customers and colleagues. You should have a strong understanding of modern data engineering principles, with experience working in complex or highly regulated environments. Professional development is an important part of the role. You will be encouraged to take ownership of your career, develop your technical expertise, and proactively pursue opportunities that support your professional goals. You will have the opportunity to work with a broad range of technologies and contribute to challenging projects that have a genuine operational impact. Salary Type : Annual Salary Salary Min : £ 50000 Salary Max : £ 70000 Currency Type : GBP #J-18808-Ljbffr

Role can be based from either our Manchester, Leeds or Reading locations (Hybrid and remote working available - must be UK based) Monday to Friday, 37.5 hours per week At BCN we unite people and technology to enable organisations to fly. We believe people and organisations can achieve anything using technology to it’s full potential. Our role is to help them understand what is possible, implement in the right way and utilise their technology to achieve their ambitions. Which is why we put people front and centre – building client relationships for life and fostering a culture where our people thrive. We are a leading managed IT services provider and technology consultant, specialising in delivering transformative technology solutions with industry-leading client experience across business, public sector and not for profit organisations. From cloud computing, cybersecurity, and data management to power app development, we are dedicated to pioneering technology with Microsoft innovation. Guided by our 3 values of building relationships, customer success and passion and dedication, we are on a mission to make BCN the most trusted tech partner in the UK today. The kind of company clients want to work with, and people want to work for. We are delighted you are on this journey with us! We are looking for a Data Engineer who is passionate about building modern data platforms and helping organisations unlock the value of their data. The successful candidate will play a key role in designing, developing and optimising data solutions using Microsoft Fabric and Azure technologies, enabling our clients to make better decisions and drive meaningful business outcomes. Working as part of BCN Group's Data & AI practice, you will be responsible for designing and delivering scalable, robust, and business-focused data engineering solutions across a variety of client projects. Combining strong technical expertise with a consultative approach, you will work closely with client stakeholders to understand their challenges, gather requirements, shape solution designs, and provide trusted guidance throughout the delivery lifecycle. You will utilise modern technologies including Microsoft Fabric, Azure Data Factory, Azure Databricks and Azure SQL, designing data architectures that support analytics, reporting, AI and machine learning initiatives. This is an exciting opportunity to join a growing team at the forefront of Microsoft's data platform ecosystem, helping to establish industry-leading data engineering practices while working with clients across a wide range of sectors. • You will take ownership of the design, development and delivery of data engineering solutions, working closely with clients, project teams and technical specialists to ensure successful project outcomes and deliver measurable business value., • The role will have a strong focus on designing and building modern ETL and ELT pipelines, implementing scalable data models and developing high-performing data platforms within Microsoft Fabric and Azure. You will be responsible for data ingestion, transformation and orchestration processes, ensuring solutions are reliable, secure, maintainable and aligned to client requirements., • You will collaborate closely with Power BI developers, AI specialists and wider delivery teams to create data platforms that support both analytical and operational business needs. This includes designing semantic models, implementing medallion architecture patterns, supporting data governance initiatives and ensuring solutions are optimised for performance and scalability., • As a client-facing consultant, you will work directly with stakeholders to understand business challenges, gather and refine requirements, and translate these into effective technical solutions. You will facilitate discovery activities, contribute to solution architecture and design decisions, participate in workshops, and provide trusted advice on data strategy, platform architecture, security, governance and DevOps best practices. You will be expected to communicate complex technical concepts clearly to both technical and non-technical audiences, helping clients make informed decisions and maximise the value of their data investments., • You will also contribute to pre-sales and solution-shaping activities, supporting proposals, providing technical input during customer discussions, and helping identify opportunities to extend and enhance client data capabilities., • We are looking for an experienced Data Engineer who is comfortable working independently and within multidisciplinary project teams, with a strong foundation in modern cloud-based data platforms and a passion for delivering high-quality solutions for clients., • You will bring proven experience designing and implementing data engineering solutions using Microsoft Fabric and Microsoft Azure, including developing data pipelines, data transformation processes and scalable analytical data models. Strong experience with ETL/ELT development, data warehousing concepts, dimensional modelling methodologies and modern data architecture patterns is essential., • You will possess strong technical skills across T-SQL, Python and PySpark, with experience developing robust data processing solutions and optimising performance across databases, transformation workloads and data platforms. Experience with CI/CD practices, Azure DevOps and Git-based development workflows is also highly desirable., • Experience delivering solutions using Microsoft Fabric, including components such as Lakehouse, Warehouse, Data Factory Pipelines, Dataflow Gen2 and Notebooks., • Experience working within deployment pipelines and modern DevOps processes would be advantageous., • You will also demonstrate a solid understanding of data quality, governance and security principles, including metadata management, lineage, role-based access control and data protection requirements., • Strong communication skills are essential, with the ability to translate business requirements into technical solutions, facilitate technical discussions with stakeholders and produce clear technical documentation., • We're particularly interested in individuals who enjoy solving complex problems, embrace emerging technologies, proactively contribute ideas and enjoy working in a collaborative environment where learning and knowledge sharing are highly valued., • The opportunity to shape your own future with industry leading training and development, with access to our BCN Academy., • Competitive salary with the ability to progress., • 23-days holiday allowance, increasing with length of service, plus bank holidays, an extra day off on your birthday and the option to buy more!, • Company pension scheme., • 2 paid leave days per year to volunteer and support your local community – if it matters to you it matters to us., • Health cash plan with free access to a confidential Employee Assistance Programme (EAP) supporting bereavement, financial, health and wellbeing, and much more, • Life assurance, • Cycle to work scheme, electric vehicle scheme, home and tech scheme, and retail discounts., • Balancing work, life, and fitness can be challenging, so we offer a free on-site gym at our Manchester and Leeds locations to make it easier to stay active., • Long service recognition to celebrate all the milestones, • Beer (or soft drinks), Pizza at the end of month, dress down every day, social events such as Summer BBQ, Christmas party and lots more! #J-18808-Ljbffr

Summarised Purpose Of The Job Torque is Syspro's Industrial AI platform, live at select pilot sites and built to put AI to work inside real manufacturing and distribution operations. This is the first dedicated Forward Deployed Engineer role. The Forward Deployed Engineer embeds with customers to find where AI creates genuine operational value (value discovery) and makes Torque deliver it fast (time-to-value), owning each engagement from technical discovery through production rollout and customer enablement. Torque sells alongside Syspro ERP and standalone to companies running other ERPs, so every strong deployment opens the door to new customers. The role sits in a small founding team and reports to the Chief Operating Officer. It is based from Manchester or London, with engagements run mostly remotely and on site when required or preferred. It suits an engineer who wants to build with frontier AI on real industrial problems, ship to production in weeks, and shape the success of a next-generation product and function from day one. Key Responsibilities Value discovery and product-market fit • Identify with pilot customers the operational problems where Torque creates the most value, and pressure-test the value proposition against reality, • Trial use cases fast: prototype, deploy, measure, keep what works and cut what does not, • Quantify outcomes in the customer's own data and feed the evidence to the Torque product, Presales and Product Marketing teams Deployment, enablement and time-to-value • Own deployment end to end at assigned accounts, from technical discovery through production rollout, • Define a first-value milestone with each customer (a measurable operational outcome, not a go-live date) and drive the engagement to reach it quickly, • Connect, configure and extend Torque against the customer's ERP and operational data, whether they run Syspro or another system, • Enable customer teams to run Torque themselves, and make the value visible to their leadership in their own numbers Forward-deployed customer engagement • Engaged customers primarily remotely, going deep on their data, systems and operational realities, • Build trust from the shop floor to the executive sponsor, adapting solutions to how they perform in practice, • Support Presales with technical depth in demos and proof-of-value engagements Building the playbook • Turn engagements into reusable assets: integration patterns, agent configurations, data mappings and deployment playbooks, • Cut deployment time with every successive engagement, so Torque scales beyond what one engineer can deliver in person Governance, quality and responsible AI • Ensure deployed solutions meet Syspro standards for accuracy, security and reliability, • Handle customer and company data in line with Syspro data-protection and IT governance policy (POPIA, GDPR, ISO 27001), • Document deployments for supportability after handover, applying responsible-AI practice (testing, human oversight) throughout Minimum education • Bachelor's degree in Computer Science, Software Engineering, Data Science or a related field; or equivalent practical experience Beneficial qualifications • Certification in AI/ML, data engineering or a cloud platform (e.g., Azure, AWS or Google Cloud), • ERP product certification (Syspro or comparable) Minimum experience • Building and shipping software in production, • Building with LLMs and/or agents, APIs and data pipelines, • Deploying solutions with customers or end users in live operational environments, including integrating data across business systems Beneficial experience • Syspro or another ERP: data model, integration patterns and implementation lifecycle, • A forward-deployed, professional services, presales or solutions-engineering role, • Manufacturing or distribution environments, or an early-stage, zero-to-one product build Special skills and knowledge • Practical command of modern AI tooling: LLMs, agent frameworks, prompt design and APIs, • Reads a customer's data landscape and operational context quickly and designs solutions that fit it, • Translates operational problems into technical solutions and explains them to any audience, • Bias for building: prototypes fast, iterates on feedback and ships working tools in live environments, • Comfortable with ambiguity and ownership; energised rather than unsettled by a role without a template, • Handles customer data with care: confidentiality, security and responsible use throughout, • 25 days annual leave + public holidays, • Hybrid working environment (2-3 office days, determined by distance to the office), • 5% Employer pension contribution, • Private Health Insurance, • Death in Service Benefit equal to 4x salary, • Group Income Protection scheme, • Health Cash Plan, • Employee Assistance Programme, • Cycle to Work Scheme, • Bonus / Commission Payments, • Enhanced Maternity & Paternity Package #J-18808-Ljbffr

6 days ago Be among the first 25 applicants Role: Senior Cloud Engineer Location: Remote (UK) Job Type: Full-time, Permanent Salary: Competitive, based on experience + benefits + bonus potential About Us Come and be a part of The Investigo Group (TIG), a dynamic coalition of cutting-edge tech firms specialising in Platform, Software, Data, AI and other bleeding-edge technology solutions. Our innovative prowess spans the globe while proudly hailing from the United Kingdom. The group is multi-functional with a large portfolio of B2B products and services. Our ecosystem is made up of: IIS, Providing secure internet access in both the public and private sectors. Its mission? To deliver world-class secure internet capabilities enhancing productivity across diverse skillsets and organisations. Vestigo Consulting is our training and consultancy company, tailored around specialist sector-specific knowledge, and provides regular courses and CPD for our community. The Consultancy side concentrates on expert support of our customers as well as specifically assigned individual deployments. Collaboraite is a bleeding-edge company that provides our Data and AI capability. A collaborative partner for designing user-centred secure data solutions to overcome operational hurdles, delivered through design thinking and agile coaching. Diversity, Equity, and Inclusion (DEI) are at the heart of The Investigo Group (TIG). We're dedicated to creating a workplace where people from all backgrounds are not only welcome but empowered to excel. We actively seek diverse talent, promote fairness, and foster an inclusive environment where every voice matters, driving innovation and progress in our dynamic tech community. The group provides bespoke, secure, user-centric products fuelled by deep technical knowledge advanced data and analytical skills. We proudly stand as a global leader in this space, partnering with esteemed entities that require these advanced forward-thinking capabilities. These partnerships have been forged from our understanding of customer challenges, as well as our expertise in developing world-leading enterprise product sets. Join us at TIG, where innovation knows no bounds, and together, we'll shape the future of technology solutions for a safer, more efficient world. About You: You're a hands-on cloud engineer with a passion for building scalable infrastructure and empowering those around you. You thrive in collaborative environments and enjoy mentoring others while ensuring reliability, scalability, and security across systems. You bring clarity, energy, and technical credibility to every conversation. About The Team: You'll join a collaborative and growing Cloud function embedded within our Product Development team. Cloud and Development work closely together day-to-day, with shared involvement across planning, refinement, and delivery. The team is evolving from a primarily manual, reactive approach to a more modern, proactive, automation-first culture with strong leadership backing. About The Role: We're looking for a Senior Cloud Engineer to help us transform our cloud engineering capability from reactive, manual operations to a proactive, automation-first approach embedded across the entire SDLC. You'll collaborate on our infrastructure strategy, tooling decisions, and reliability posture across a suite of over 20 apps and services. Key Responsibilities: • Collaborate on the end-to-end cloud strategy, with a strong emphasis on automation, • Build and maintain infrastructure automation frameworks (e.g. Terraform, Ansible), • Guide the shift-left approach and embed cloud practices earlier in the SDLC, • Mentor and upskill our engineers into Cloud Engineers, • Collaborate with Developers and Product to ensure infrastructure is a shared responsibility, • Champion cloud practices in planning, refinement, and release, • Integrate infrastructure automation into CI/CD pipelines, • Establish and report on meaningful cloud metrics and KPIs, • Improve infrastructure data and environment management with Infrastructure teams, • Help shape a simplified, more predictable release process Success in This Role Looks Like • An infrastructure automation strategy is in place and delivering measurable improvements, • Manual operations are reduced, and confidence in releases is increased, • Engineers are growing into Cloud Engineers under your mentorship, • Infrastructure is embedded earlier in the process and owned across teams, • Stakeholders recognise cloud engineering as a key partner in delivering high-performing, resilient products Requirements What We're Looking For: • Proven experience as a Senior Cloud Engineer in a modern Agile environment, • Deep understanding of infrastructure automation frameworks, SRE principles, and continuous delivery, • Hands-on skills with tools like Terraform, Ansible, Docker, Kubernetes, • Familiarity with cloud platforms (AWS, Azure, GCP), • Programming/scripting in Python, Bash, or similar, • Strong knowledge of CI/CD tooling (GitHub Actions, Jenkins, Azure DevOps), • Understanding of REST APIs, SQL, and containerisation Bonus Points For: • Certifications such as LPIC-1/LPIC-2, RHCE/RHCSA, or equivalent, • Experience scaling cloud engineering practices across multiple products or platforms, • Exposure to security, compliance, or regulated environments Security Clearance Requirements Please note that holding current SC clearance is not essential at the point of application, but eligibility is required. This role requires the successful candidate to be eligible for Security Check (SC) clearance. To meet this requirement, applicants must: • Have the right to work in the UK, • Have lived in the UK continuously for the past 5 years, • Not have spent more than 6 months outside the UK in total during that period, • Be willing to undergo security vetting as part of the onboarding process Benefits • Flexible Working: We offer both hybrid and remote working models., • Private Medical, • Inclusive Culture: Enjoy an inclusive culture and environment, • Holiday: Generous holiday allowance, • Learning: Access to continuous learning and development opportunities, • Bonus Potential: Bonus potential based on performance and business-related factors, • Discounts: Discounts on a wide range of products and services, • Pension: Pension scheme contributions with Government Top-Up, • EV Car Scheme, • More Benefits: Explore additional benefits on our career site. Please note that the talent acquisition team is managing this vacancy directly and we do not require agency support. Candidates who are successful will be required to undergo relevant security checks. Our Process Our talent acquisition team will be in touch if you're successful, the team will arrange a short screening call (max 30 minutes) to learn more about you, and what you are looking for and answer any questions you may have. If all goes well, the team will share your profile with the hiring manager for review. Our interview process is tailored to each role but typically the first half of the process is run remotely with a final stage on-site. For this position, you can expect a two-stage interview process: 1st stage - An informal 30-minute video call with the hiring team to discuss your skills and relevant experience. This is an excellent opportunity to learn more about the role and ask any questions. 2nd Stage - A 60-90-minute formal interview where you can anticipate competency and technical questions. As an inclusive employer, please inform us if you require any reasonable adjustments. Equal Opportunities Here at TIG we are committed to equal opportunities and value diversity, equity and inclusion at our company. We do not discriminate based on race, religion, colour, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status. As a Group, we seek to ensure that individuals with disabilities receive reasonable accommodation throughout the hiring process and ultimately within the job itself. Please contact us to request any accommodations. • Mid-Senior level, • Full-time, • Information Technology, • IT Services and IT Consulting Referrals increase your chances of interviewing at The Investigo Group by 2x Huddersfield, England, United Kingdom 3 months ago Wilmslow, England, United Kingdom 1 week ago Manchester, England, United Kingdom 2 months ago Manchester, England, United Kingdom 2 months ago Manchester, England, United Kingdom 3 weeks ago Manchester, England, United Kingdom 1 week ago Manchester, England, United Kingdom 2 months ago Manchester, England, United Kingdom 20 hours ago Manchester, England, United Kingdom $30,000.00-$40,000.00 3 weeks ago Manchester, England, United Kingdom 2 weeks ago Manchester, England, United Kingdom 5 days ago Manchester, England, United Kingdom $35,000.00-$40,000.00 6 days ago Manchester, England, United Kingdom 2 weeks ago Manchester Area, United Kingdom 5 days ago Manchester, England, United Kingdom 2 weeks ago Manchester, England, United Kingdom 4 days ago Manchester, England, United Kingdom 1 month ago Manchester, England, United Kingdom 2 weeks ago Manchester, England, United Kingdom 4 days ago Manchester, England, United Kingdom 5 days ago Manchester, England, United Kingdom 1 month ago Manchester, England, United Kingdom 5 days ago Manchester, England, United Kingdom 3 weeks ago Manchester, England, United Kingdom 2 months ago Manchester, England, United Kingdom 3 months ago Manchester, England, United Kingdom 4 days ago Manchester, England, United Kingdom 7 months ago Manchester, England, United Kingdom 2 months ago Manchester, England, United Kingdom 2 weeks ago Manchester, England, United Kingdom 1 week ago Manchester, England, United Kingdom 1 month ago Manchester, England, United Kingdom 1 month ago Manchester, England, United Kingdom 2 weeks ago Manchester, England, United Kingdom 7 months ago Manchester, England, United Kingdom 3 months ago Manchester, England, United Kingdom 4 days ago We’re unlocking community knowledge in a new way. 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Join us at an exciting time as we launch our first dedicated AI engineering role. This permanent, full-time opportunity will see you take ownership of how we implement AI agents and automation across NRL, shaping the standards and solutions that define our future. This position is ideal for an experienced software engineer who thrives on innovation and wants to make a measurable impact on a well-established business. The NRL Group is proud to be certified™ as a Great Place To Work®, with a 95% satisfaction score from colleagues, as well as being recognised as a 2025 UK Best Workplace™. For over 40 years, we’ve delivered engineering recruitment, workforce solutions and contracting services, supported by talented people across our businesses. Our commitment to continuous improvement and innovation has earned us industry recognition, including APSCo UK’s Recruitment Company of the Year (£50–250m). We are a Living Wage Employer, a Disability Confident Committed employer, and have a strong focus on colleague wellbeing, development and inclusion. We offer personalised development plans, mental health first aiders and flexible career pathways to help everyone find the right role for them. • Based in Wigan with hybrid working: 4 days from home, 1 day in the office (there could be some flexibility in this)., • Design, develop and deliver secure AI agents, automation and system integrations., • Build Copilot Studio agents with controlled workflows, actions and governance., • Develop robust Power Automate flows using best practices and reusable components., • Create and maintain APIs, services and integrations using C#, .NET and Azure Functions., • Implement secure identity, access, and encryption standards using Entra ID and OAuth 2.0., • Own the full lifecycle of solutions from discovery through deployment and support., • Collaborate with internal IT teams to define governance, standards and reusable patterns., • Mentor low‑code makers and promote safe, scalable adoption of AI and automation., • Strong experience in C# and modern .NET, including ASP.NET Core and Azure Functions., • Proven ability with REST APIs, JSON, authentication and integration patterns., • Proficiency in Microsoft Azure and Entra ID with OAuth 2.0 and app registrations., • Knowledge of application lifecycle management, Git, CI/CD and version control., • Hands-on experience with Copilot Studio, Power Automate and advanced Power Platform solutions., • TypeScript or JavaScript and Microsoft Graph experience., • Familiarity with Azure AI services, Logic Apps, API Management or Service Bus., • Python for data processing or AI-related tasks. Just some of the benefits you will be able to access when you join the NRL Group include: • 22 days holiday, rising to 25 after 5 years’ continued service, with the option to purchase additional days each year, • Competitive pension scheme, • Health Cash Plan medical expense allowance, • Personal finance coach, health checks and tailored financial advice, • Working hours flexibility, • Long service awards, • Electric vehicle leasing, • Benefits platform including wellbeing support, cycle to work scheme, paid charity days and life assurance The NRL Group connect global companies with the right people to bring engineering projects to life. Supporting contracting companies with energy transition plans and working with our clients to create a cleaner, greener future. We welcome applications from every walk of life and are committed to diversity within the industries we support, as a certified Inclusive Recruiter and Armed Forces friendly employer. You can ensure you stay safe when job searching online by visiting the JobsAware website. #J-18808-Ljbffr

Join to apply for the Senior AI Engineer role at TieTalent. Recode the Future of Travel. Power Human Potential with AI. Travel Counsellors is redefining travel with AI-driven experiences built around deep human connection. We’ve spent 30+ years empowering over 2,200 independent travel entrepreneurs across the globe. With an award-winning culture and growing digital momentum, we’re building the next-generation AI capabilities that will revolutionise our personal travel platform, Phenix. This is your chance to be at the centre of something extraordinary—shaping how AI and software engineering converge to create magical, meaningful travel experiences. About The Role — Your Mission Join our high-impact squad of engineers and AI innovators as a Senior AI Engineer to architect, build, and evolve TC Co-Pilot — our intelligent assistant embedded deep within our tech ecosystem. This is a hands-on engineering role where your code directly amplifies the power of humans, helping our Travel Counsellors work smarter, faster, and more creatively than ever before. You’ll build AI into the heart of our customer journeys using large language models (LLMs), recommendation systems, voice interfaces, and generative tools — all grounded in scalable, production-ready code. What You7;ll Be Doing • Engineer AI-first systems: Bring LLMs, recommendation engines, and natural language interfaces into our platform, from prototype to production., • Own key backend services: Use .NET Core/C# to build scalable APIs and services that connect human intent with machine intelligence., • Build RAG-powered workflows: Leverage retrieval-augmented generation, context-aware orchestration (MCP), and internal datasets to generate real-time, contextual insights., • Collaborate across disciplines: Work with product designers, data scientists, and AI strategy leads to embed intelligent features into everyday user flows., • Stay ahead of the curve: Apply emerging AI trends, focusing on what works and shaping the future of our AI stack. Benefits • Competitive salary + annual bonus, • Flexible hybrid working, • Career development opportunities, • 25 days holiday (increasing to 28 after 5 years), • Enhanced Maternity/Paternity pay, • 1 day paid charity day, • Company events and incentives, • 3x salary death in service benefit, • Pension scheme, • Private Medical Insurance or Healthcare Cash Plan, • Free breakfast and beverages Requirements • Proven experience in .NET Core/C# and modern web frameworks like Angular/TypeScript, • Hands-on experience with LLM APIs (OpenAI, Claude, Bedrock), LangChain, or RAG-based architectures, • Deep familiarity with API design, microservices, and cloud-first development (AWS, Azure, or GCP), • Experience building systems with MongoDB, SQL, or vector databases like Pinecone or MongoDB Atlas Vector Search, • Solid engineering practices: TDD, CI/CD pipelines, DevOps tooling, and secure deployment at scale, • Mid-Senior level, • Full-time, • Engineering and Information Technology, • Industries, • Technology, Information and Internet Referrals increase your chances of interviewing at TieTalent. #J-18808-Ljbffr

CreateFuture is an AI-native consulting partner where people do work that matters and are supported to do it well. We work alongside organisations such as PayPal, adidas, NatWest, FanDuel and Money Saving Expert, building digital products and services that make a difference while always putting people first. We’re a team of creators. We write code, shape delivery, build go-to-market strategies, develop AI solutions and create the practices that support our people. We work side by side with our clients, challenging what’s not working and helping them to build the future. Our commitment to craft, quality, and culture has helped us scale to over 600 people in just a few years. • 35 days leave (including bank holidays)., • Private medical insurance., • Enhanced parental and adoption leave., • Financial coaching + 5% pension match., • 40 hours of paid learning and development. View our full list of UK benefits. CreateFuture is a Great Place to Work-Certified™ company and has won Best Workplaces UK multiple years in a row. At CreateFuture, the Senior Cloud Engineer is a vital individual contributor and a technical driving force within our delivery teams. You will work closely with clients and delivery teams to bridge the implementation gap, assisting with architectural designs and transforming them into production systems using autonomous and AI-native platforms. This role requires a modern, hybrid engineering approach, blending infrastructure mastery with software development and data engineering principles. You will act as a technical expert on projects, building trusted relationships with client stakeholders, establishing engineering best practices and mentoring engineers within the Cloud capability. Furthermore, you will actively contribute to setting engineering standards that influence the whole CreateFuture organisation. • High-Quality Execution: Proactively contribute to project teams by providing technical guidance, resolving complex technical blockages, supporting migration efforts and writing high-quality, spec-driven code., • Platform Engineering: Build and maintain independent, self-service developer platforms that allow engineering teams to spin up compliant, episodic environments automatically using GitOps workflows., • AI & Agentic Infrastructure: Implement the data pipelines, workflow orchestrations, and specialised compute footprints needed to support enterprise AI applications, using technologies like AWS Bedrock and AWS AgentCore., • Observability & Reliability: Build robust monitoring and observability pipelines to ensure the health, performance, and security of distributed cloud applications and AI models., • FinOps Standards: Embed automated cost-estimation tools into the standard CI/CD deployment pipelines, ensuring auto-shutdown policies and resource optimisation are configured by default., • Client Advisory: Collaborate with diverse stakeholders, including tech leads, project managers and enterprise architects, to ensure successful project delivery according to timelines and budgets., • Commercial Growth: Have a growth mindset on projects, recognising potential operational bottlenecks or new requirements, and own communicating these throughout the team for new opportunities., • Best Practice Champion: Establish best practice tools and processes within client environments, confidently challenging legacy ways of working where appropriate., • Mentoring: Support and mentor engineers within CreateFuture and our client teams, helping them navigate their learning and technical skill gaps., • Community Contribution: Actively engage in the internal engineering communities, helping to build out an internal repository of reference architectures, Infrastructure as Code templates and technical blogs., • Culture and Feedback: Help foster an inclusive, collaborative and psychologically safe team environment by providing timely, open and honest technical feedback., • Infrastructure & Automation (40%): Lots of experience in writing declarative Infrastructure as Code using Terraform, container orchestration with Kubernetes (managing clusters, nodes and pods) and building CI/CD pipelines via GitHub Actions., • Software & Agentic Engineering (30%): Proficiency with modern scripting languages for building custom AI agents, configuring workflow orchestration, connecting enterprise API integrations and implementing agentic guardrails., • Data Engineering (30%): Practical experience implementing components of data pipelines, including real-time streaming tools (AWS Kinesis, Kafka), data orchestration (dbt, Airflow) and managing Vector Databases for RAG architectures., • Observability & Cost Management: SRE/Platform experience with the practical application of real-time monitoring and cloud cost optimisation using native CSP tools or utilities like Infracost and Karpenter., • Regulated Industries: Experience delivering secure platforms within highly regulated environments such as iGaming, Financial Services or banking where Zero Trust security and strict compliance controls are mandatory is highly advantageous., • Consulting: Proven experience operating in a client-facing or consulting engineering role, demonstrating strong communication skills, relationship-building capabilities and adaptability across changing technical contexts., • Associate-level cloud certifications (e.g. AWS Solutions Architect Associate or Azure AZ‑104)., • At least 1 professional‑level certification., • Progressing toward or holding multiple professional certifications such as CKA (Certified Kubernetes Administrator), AWS ML Engineer Associate or FinOps Certified Practitioner. We trust people to do their best work. That means flexibility over rigid rules, impact over activity and real investment in your growth both professionally and personally. You’ll be part of a supportive and friendly culture surrounded by smart curious people who care deeply about what they do. We offer flexible working including hybrid and remote options. Our office hubs are located in Edinburgh, Leeds, Manchester, London and Bulgaria with occasional travel to client sites or CreateFuture offices when needed. We trust you to manage your time balancing collaboration with client time and focused work. What matters is the impact you have not how busy you look. We try to keep our hiring process clear fair and respectful of your time. We aim to get back to everyone who applies and we will be upfront about where you are in the process. • Call with our Talent Acquisition Team, • Role specific capability interview Depending on the role we might also ask you to do a short presentation a practical or technical task or have a values focused conversation. We will explain what is involved before anything happens. We believe diverse teams build better workplaces and better products. We want CreateFuture to be a place where people feel able to be themselves and do their best work. If you need any adjustments or support during the application process just. We will do what we can to help. We look forward to your application! #J-18808-Ljbffr

Fuzzy Labs is a fast-growing, Manchester-based tech consultancy that helps a diverse range of clients build, deploy, and productionise AI systems using open source technologies. We exist to help our customers harness and channel the power of AI safely and effectively, to make positive change and use AI for good. Our work sits across the whole development lifecycle, from exploring and prototyping new AI use cases to building scalable, secure, production-grade machine learning and generative AI systems, and everything in between. Our work spans disruptive startups, multi-national organisations, policing, and secure government sectors, providing you with the unique opportunity to make a tangible, real-world impact. We’ve had considerable growth over the last few years and we’re looking to continue with this momentum as we build on our reputation as Open Source MLOps and applied AI experts, expand our role within the community, and continue to deliver high-quality solutions to our clients. The ideal candidate will be motivated to grow and progress in line with the company’s ambitions: we’re looking for passionate engineers with an appetite for keeping up with the cutting edge, an eye for detail, and a knack for creative problem solving. This role suits experienced technical leaders looking for a forward-deployed engineering role where they can combine strong software engineering, applied AI, technical leadership, customer problem solving, and project ownership. You’ll work close to the people using what we build, helping turn ambiguous AI opportunities into reliable production systems that deliver real-world impact. As a Lead Applied AI Engineer, we’ll look to you to lead engineering squads, own the technical delivery of client projects, shape technical direction, support and mentor engineers, and work confidently with customers from discovery through to production delivery. As well as being a great engineer, motivated by the chance to be at the forefront of applied AI, you’ll also enjoy being part of a culture that values: • Loving what we do: a real passion for open source, applied AI, MLOps, and taking pride in our work., • Just trying it: AI is moving quickly. We love to develop new skills, solve new problems and thrive on a challenge., • Being greater than the sum of parts: we are a team, one that isn’t just us but our customers and our community., • Positive impact: AI is going to change the world. We choose to use it for good and leave a positive legacy. You’ll work within an engineering squad and take part in every stage of the project delivery lifecycle, including: • Being hands-on with the technical delivery of projects. As a technical leader, you’ll be writing code while also setting the standard for engineering quality, delivery discipline and technical decision-making across the team., • Working directly with clients to understand their needs, shape ambiguous problems, recommend appropriate solutions, and bring them along on the journey., • Owning the delivery of client projects, from discovery and prototyping through to production deployment, handover and ongoing improvement., • Leading the design and implementation of production-grade AI systems, including LLM-powered applications, retrieval augmented generation, model serving, evaluation frameworks, AI agents, data pipelines, cloud-native infrastructure, and MLOps workflows., • Making pragmatic technical decisions that balance delivery speed, reliability, security, maintainability, user needs and commercial constraints., • Leading sprint planning sessions, retrospectives and code reviews, ensuring the team is focused, unblocked and delivering high-quality work., • Working as part of the team, sharing and reviewing ideas, mentoring and guiding team members through technology, architecture, implementation details and delivery trade-offs., • Supporting your team members’ personal development objectives within client projects, helping them grow their technical judgement, client-facing confidence and ownership., • Helping to grow the team by taking part in hiring and interviewing., • Helping to write proposals for new clients, participating in the technical side of the sales process, and shaping credible delivery approaches for applied AI opportunities., • Staying up-to-date with a fast-moving industry, embracing new tools and frameworks, and sharing your learnings with the team. As well as client work, we also set aside time to work on R&D projects and produce content in the form of blogs and videos. These projects are how we keep on top of a fast-moving technology landscape, in addition to being our greatest source of marketing. You’ll have the opportunity to craft your own voice in the applied AI and MLOps community through R&D content. Our team is made up of a mix of backgrounds. We are looking for smart, curious people who are always expanding their knowledge and exploring new and emerging technologies. If you get excited about keeping up with the newest AI tools, figuring out how to scale generative AI systems in the cloud, or turning prototypes into production software, then you’ll fit right in. Some of the skills and experience we look for include: • An undergraduate degree in computer science, mathematics, or similar, or a relevant postgraduate degree., • A passion for coding, machine learning, AI, open source technologies, and setting high standards for their implementation and adoption., • Strong experience writing and deploying production-grade Python software. This could include training and serving machine learning models, building large-scale inference services, integrating data stores, building APIs, or deploying AI-powered applications., • Experience with machine learning or generative AI systems, such as LLM-powered applications, RAG pipelines, embeddings, prompt engineering, model evaluation, agents, model serving, or ML workflows., • Experience designing and delivering cloud-based systems, for example using AWS, Google Cloud or Azure, along with modern DevOps practices and infrastructure-as-code tooling., • Experience leading technical delivery across a project, team or workstream, including planning implementation, managing technical risk, reviewing architecture, and supporting engineers through delivery., • Experience managing, mentoring or supporting the development of software engineers., • Experience delivering software using an agile development methodology., • Fluency in our core software tooling: Git, Unix/Linux, Docker, and common open‑source AI, ML or MLOps tools. Plus, a strong opinion on your IDE / editor of choice is welcome ;), • You should be aware of the broad landscape of AI and machine learning applications, tools, and technologies and willing to deepen your knowledge., • Excellent communication skills, both in customer-facing and internal team communication. We encourage you to apply even if you don’t meet all of the requirements. Applied AI is an emerging field, sitting at the intersection of software engineering, machine learning engineering, data science, DevOps and product delivery. We’re excited to speak to candidates from any of these backgrounds; you don’t need an explicit MLOps or applied AI job title already, as long as you have strong engineering foundations, leadership experience, and are excited to immerse yourself in this fast-moving field. By joining a growing company you’ll have the chance to make a real impact on its future. There’s plenty of room for growth and we’ll work with you to help you realise your technical and personal ambitions because your success and the company’s success are one and the same. • 25 days holiday rising to 30 with each year of service, • Enhanced family leave, including maternity, paternity and adoption leave, • Healthcare cash plan, • £500 annual personal development budget and AI assistant of your choice, • Equity option scheme, giving you a genuine stake in the business, • Hybrid working in a vibrant, central Manchester office with free fruit, cereals, and hot & cold drinks, • Cycle to Work Scheme and secure bike storage, • Paid time off for charity and volunteering, • Company socials, summer and Christmas parties As a hybrid‑working organisation, we bring the team together in the office three days each week on Mondays, Wednesdays and Thursdays, and work remotely on the remaining days. We have found that regular, structured time in person enables us to make decisions more quickly, collaborate more effectively, and build the strong working relationships that underpin our work. For that reason, being able to join us in our central Manchester office on those set days is an essential part of the role. At the same time, we recognise that personal circumstances vary. We aim to approach individual situations with flexibility and openness, and we’re always willing to have a conversation where specific needs arise. Some client work may also involve occasional travel to customer sites across the UK. We see this as an important part of Applied AI: getting close to the people, systems and environments we’re building for. Travel will vary by project and will be planned with reasonable notice. Finally, due to the sensitive nature of some projects, you will be required to undergo UK government security clearance after you start, at SC level. This will include a credit check and criminal records check. As a result, we’re only able to consider candidates who have been resident in the UK for 5 or more years. #J-18808-Ljbffr

We are seeking an experienced Senior Microsoft 365 / SharePoint Engineer to support and enhance our Client Portal and estate. The Client Portal squad currently consists of a portal developer, SharePoint developer, two business analysts, development manager and product manager. The team work closely with our business owners and wider portal stakeholders. The successful candidate will take ownership of Microsoft SharePoint Online solutions, document management platforms, Power Platform workflows, and integrations with business applications including Salesforce and other enterprise platforms. This role combines development, support, architecture and operational responsibilities and requires someone comfortable working directly with business stakeholders, development teams, support functions and third-party vendors. Our product vision is to provide a modern, global, digital client interface that enhances our clients’ experience and satisfaction, and positions Insight well against our peers. This will support our commercial growth and client retention objectives, while helping to reduce risk for both Insight and our clients • Design, develop and maintain SharePoint Online solutions., • Manage site collections, libraries, content types, metadata, governance controls, security, permissions and access models., • Troubleshoot and resolve SharePoint-related production issues; maintain SharePoint application registrations, service accounts and integrations., • Develop and enhance solutions using SharePoint Framework (SPFx), PowerShell, Microsoft Graph API, REST APIs, JavaScript / TypeScript and React., • Upgrade and maintain SharePoint Framework solutions., • Support code reviews, deployments and vulnerability remediation activities., • Develop and support Power Automate workflows, Logic Apps, Power Platform integrations and document management automation., • Support integrations between SharePoint, Salesforce and enterprise platforms., • Assist with integration design and troubleshooting; work with infrastructure and security teams to implement secure integration patterns., • Investigate and resolve incidents and service requests; support release activities, change implementation, problem management and root cause analysis activities., • Mentor team members and contribute to platform modernisation and simplification initiatives., • Implement secure coding practices aligned with OWASP, Veracode and CodeQL; monitor and optimise system performance using Grafana and other observability tools., • Collaborate using GitHub for version control, CI/CD and code reviews; participate in Agile ceremonies and contribute to continuous improvement within Scrum or Kanban frameworks., • Strong experience with SharePoint Online administration and development., • Hands-on experience with SPFx, TypeScript, JavaScript and React development., • Experience with Microsoft Graph API, REST API development and integration, and PowerShell automation., • Experience with Power Automate and Power Platform governance and administration., • Experience integrating SharePoint with Salesforce, Azure services, enterprise content management platforms and/or third-party SaaS applications., • Understanding of Salesforce integration and data flows., • Experience with GitHub for source control and collaboration., • Experience with GitHub Copilot, Windsurf or similar AI coding tools is advantageous., • Demonstrated ability to work in Agile environments using Scrum or Kanban., • Excellent problem-solving skills with a proactive approach to learning and innovation., • Strong communication and stakeholder management skills, with the ability to build effective relationships across technical and business teams., • Self-starter with the confidence to assess, identify, create and deploy resolutions in time-critical scenarios., • Growth mindset with a desire to learn, experiment, share knowledge and drive adoption of new technologies and approaches. Insight is committed to being an inclusive employer and encourages applications from all suitably qualified applicants irrespective of background, circumstances, age, disability, gender identity, ethnicity, religion or belief, sexual orientation or other factors protected by federal, state and/or local laws. If you are a candidate with a disability, or are assisting a candidate with a disability, and require an accommodation to apply for one of our jobs, please email us at Insight Investment is a leading asset manager focused on designing investment solutions to meet its clients’ needs. Founded in 2002, Insight’s collaborative approach has delivered both investment performance and growth in assets under management. Insight managed £631.9bn of assets as at 31 December 2025across its core liability driven investment, risk management, full-spectrum fixed income and currency capabilities. Insight has a clear mission and purpose to offer investors a different approach to achieving their investment goals; one that prioritises the certainty of meeting investors’ chosen objectives in contrast to the traditional focus on maximising return and minimising volatility. Insight operates across the global with a presence in the US, UK, Ireland, Germany, Japan and Australia; and is a subsidiary of The Bank of New York Mellon Corporation (“BNY”), the global financial services. company. The business employs over 1,100 people including 277 investment professionals. More information about Insight Investment can be found at: uk/ #J-18808-Ljbffr

As a Data Engineer at Capgemini, you'll design, build and operate reliable, scalable data pipelines and data products: the trusted foundations that power analytics, AI, GenAI and increasingly agentic systems. You'll work hands-on with modern data engineering tooling and cloud services to ingest, transform and serve data, and you'll prepare and govern the datasets that AI models and AI agents depend on to behave safely and correctly. You'll also use AI-assisted engineering to accelerate your own delivery, while keeping clear human ownership of every outcome. As a Data Engineer at Capgemini, you'll design, build and operate reliable, scalable data pipelines and data products: the trusted foundations that power analytics, AI, GenAI and increasingly agentic systems. You'll work hands-on with modern data engineering tooling and cloud services to ingest, transform and serve data, and you'll prepare and govern the datasets that AI models and AI agents depend on to behave safely and correctly. You'll also use AI-assisted engineering to accelerate your own delivery, while keeping clear human ownership of every outcome. You'll be part of the Data Platforms team within the Insights and Data Global Practice, which has seen strong, sustained growth across a wide range of sectors. Data Platforms is home to Data Engineers, Platform Engineers, Solution Architects and Business Analysts driving our customers' digital and data transformation on modern cloud platforms. We specialise in the latest frameworks, reference architectures and technologies across AWS, Azure and GCP, and data platforms such as Databricks and Snowflake. To be successfully appointed to this role, must be eligible to obtain Security Check (SC)clearance or DV (Developed Vetting 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. We're looking for a code-first Data Engineer to design and build scalable, resilient data applications for Defence customers. This role sits at the intersection of software engineering and data engineering, working on mission-critical systems where reliability, security and auditability are essential. You'll build data applications that process high-volume, high-velocity data, orchestrate complex workflows, and deploy your own solutions into secure containerised environments. You'll work across the full lifecycle, from development through to production, shaping architectures that support operational users, analytics and AI-enabled capabilities. Increasingly that includes GenAI and agentic systems that must run inside secure, and sometimes disconnected, environments, which is a genuinely hard problem and a distinctive part of what makes this role interesting. This role is hands-on and engineering-led. You'll write production-grade code, contribute to secure platform patterns, and make sure your data services run predictably in tightly governed Defence environments. Developing modular, maintainable software components that process, transform and expose data for analytical, operational or AI-driven use cases, with testing and observability built in from the start. Designing and implementing data ingestion and event-driven patterns that support real-time or near-real-time flows, keeping them reliable under demanding operational conditions. Defining data workflows programmatically and managing complex dependencies, scheduling and error-recovery behaviour within secure, assured environments. Packaging, deploying and monitoring ML and, increasingly, GenAI and agentic data workloads inside assured environments. This can include self-hosted or open-weight models, retrieval (RAG) and vector search over governed data, and the guardrails, evaluation and human oversight that non-deterministic systems demand. Running these patterns where internet-connected AI services are not available is a core part of the role's future. Containerising your own services and deploying them into secure Kubernetes or cloud environments, using CI/CD principles adapted for Defence delivery. You'll own your applications in production and contribute to secure deployment patterns. Implementing health monitoring, structured logging, metrics and lineage to meet Defence requirements for auditability, security and operational assurance, including observability for non-deterministic and agentic behaviour. You'll design systems that can self-heal or fail gracefully when needed. Provisioning the resources your services depend on using Infrastructure as Code, working closely with platform teams to stay aligned with accredited Defence architectures You’ll be a strong, code-first data engineer who takes ownership of what you build and is energised by hard constraints rather than put off by them. You don't need to have shipped GenAI or agentic systems in secure environments already, but you should be genuinely interested in the problem and have the engineering foundations to take it on. • Core engineering. Expert-level Python and strong software engineering foundations: object-oriented design, automated testing and version control., • Data engineering stack. Building pipelines with streaming frameworks, distributed processing engines and relational or analytical storage (for example Kafka, Spark, PostgreSQL)., • Orchestration. Defining and running data workflows with modern orchestration frameworks (for example Airflow, Dagster or Prefect)., • Data quality and lineage. Tools and techniques for data testing, documentation and lineage (for example Great Expectations or dbt)., • AI, MLOps and emerging LLMOps. Operationalising ML in production (model packaging, monitoring, controlled deployment), and an understanding of how serving GenAI and agentic systems differs, including evaluation, guardrails and observability for non-deterministic outputs., • Containerisation and Kubernetes. Confidence deploying applications in containerised environments, including defining services, pods and deployment configurations (for example Docker and Kubernetes)., • DevOps mindset. Hands-on CI/CD experience and a belief in owning the services you build (for example GitLab CI, GitHub Actions or Argo).Hands-on experience delivering data pipelines and data platforms in production environments., • Infrastructure as Code or configuration management (for example Terraform or Ansible)., • Experience in secure, restricted or air-gapped environments, including Defence networks or MODCloud-aligned platforms., • Familiarity with Google Distributed Cloud (GDC) or other edge and on-premises platforms used in constrained or disconnected settings., • Exposure to GenAI and agentic building blocks: RAG, vector search, LLM orchestration, or LLM evaluation and observability., • Experience using AI coding assistants within strict data-handling and security boundaries, recognising that connected AI tooling is not always available on secure networks, • Azure / Databricks Azure Data Lake Storage, Databricks, Apache Spark, Delta Lake, Azure Data Factory, MLflow; and, for the AI edge, Databricks Mosaic AI, Vector Search and Unity Catalog, or Azure OpenAI, Azure AI Foundry and Azure AI Search., • AWS: Glue, Lambda, Step Functions, Kinesis, EMR, Athena, Redshift, S3 data lakes; and, for the AI edge, Amazon Bedrock, Knowledge Bases for Bedrock 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) 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. 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. #J-18808-Ljbffr

CreateFuture is an AI-native consulting partner where people do work that matters and are supported to do it well. We work alongside organisations such as PayPal, adidas, NatWest, FanDuel and Money Saving Expert, building digital products and services that make a difference while always putting people first. We’re a team of creators. We write code, shape delivery, build go‑to‑market strategies, develop AI solutions and create the practices that support our people. We work side by side with our clients, challenging what’s not working and helping them to build the future. Our commitment to craft, quality, and culture has helped us scale to over 600 people in just a few years. • 35 days leave (including bank holidays)., • Private medical insurance., • Enhanced parental and adoption leave., • 40 hours of paid learning and development. Join us on our journey. Let’s create tomorrow, together, today. At CreateFuture, our Lead Engineer - Cloud plays a pivotal role in supporting the success of our Cloud engineers, our clients, and internal projects. Working closely with clients, you are responsible for the successful delivery of client and internal projects by building professional relationships with key client stakeholders, challenging where appropriate. Use your technical expertise to provide best practice advice and processes within your project team and the wider capability. As our client demands expand from traditional cloud migrations to AI enablement and platform engineering, you will lead the charge in building autonomous platforms, managing AI lifecycles, and enforcing strict cost governance across cloud estates. You are seen as a leader internally and externally, through your technical expertise, guidance, and professionalism, both on and off a client. Alongside delivering for your customers, you will also support and mentor a team of cloud engineers to encourage their growth. You will be setting the technical direction of the team alongside Cloud Leads and Senior Engineers. • Growth Mindset: Apply a growth mindset to identify new revenue opportunities on client accounts, working alongside the commercial team to successfully land additional work., • Pre‑Sales Contribution: Lead and contribute to pre‑sales activities, RFPs, and BIDs, accounting for up to 5% to 10% of the role. Engage with the commercial team to drive high‑value Cloud and Data advisory roles., • Ambassadorial Presence: Act as an ambassador for CreateFuture in the public space, attending events, speaking, blogging, or leveraging social media to support the growth of the Cloud capability., • Hands‑on: you are an experienced engineer and can be active with the cloud platform tools, software development and writing efficient code for clients., • Technical Direction: Take responsibility for the technical direction and delivery of single or multiple client and internal project teams, acting as either a technical lead or a solo contributor., • AI‑Native Infrastructure: Architect and implement the core engineering infrastructure required to run AI workloads reliably, moving client architectures from static data lakes to dynamic Vector Databases and Retrieval‑Augmented Generation (RAG) architectures., • Agentic Development: Build production‑grade Agentic Workflows and custom AI agents, utilising advanced toolsets to bridge the widening market implementation gap., • Setting Development Best Practices: Define, promote, and establish best practice tools, security approaches, and common service patterns across the entire CreateFuture organisation. Ensure Infrastructure as Code (IaC) is the organisational default and challenge inefficient legacy processes., • FinOps & Governance: Enforce strict automated security and cost controls, real‑time cost‑anomaly detection, and cost estimation into the Software Development Life Cycle (SDLC) as a standard. Understanding of OpenTelemetry or other telemetry approaches., • Internal Platform Support: Assist the Capability Lead and architects in defining and delivering an internal collection of reusable components, reference architectures, and Proof of Concepts (PoCs). Supporting the internal IT function in helping other parts of the business use Cloud services., • Culture & Collaboration: Lead by example, creating a culture of open, honest feedback, collaboration, ownership, and accountability., • People Development: Create a psychologically safe environment for the team that enables them to grow by supporting their development journeys and career aspirations., • Capability Growth: Work alongside the Capability Lead and Director of Cloud and Data to identify missing or inconsistent skills within the department, supporting team members through tiered certification journeys., • Recruitment: Collaborate with Talent Acquisition through the recruitment process, including conducting interviews, candidate debriefs, and strategic decision‑making to attract top talent. Candidates must demonstrate a hybrid skillset, balancing Software Engineering (30%), Platform/SRE (40%), and Data Engineering (30%), with a core focus on Security, Governance, and Cost Management. • Cloud & Infrastructure (40%): Advanced Infrastructure as Code (IaC) via Terraform, advanced Kubernetes administration (clusters, nodes, pods), hardcore networking (VPC peering, Service Mesh, Zero Trust security), and solution architecture experience, with a cost‑optimisation mindset., • Software Engineering, Agentic & AI Development (30%): Solid software engineer principles (pipelines, toolsets, testing, linting, vulnerability scanning, etc.) Production‑level experience with tools such as Amazon Bedrock, AWS AgentCore, Azure AI Studio, LangChain, and writing automation scripts or custom AI agents using node or python., • Data Engineering (30%): Experience deploying and maintaining data orchestration toolsets (e.g., dbt, Apache Airflow), ETL/ELT methodologies, real‑time streaming (e.g., AWS Kinesis, Apache Kafka), Vector databases, and RAG architectures., • Observability & FinOps: Experience implementing modern observability tooling (OpenTelemetry) alongside automated cost‑control systems (such as Karpenter, Infracost, OpenCost, or Cloud Custodian)., • Regulated Industries: Experience working in highly regulated sectors such as Financial Services or iGaming is helpful, demonstrating an understanding of strict compliance, data privacy risks, and governance guardrails., • Consulting: Proven background in a client‑facing consulting capacity, managing stakeholders, handling commercial realities, and meeting strict SLAs, timescales, and budgets., • Multiple professional‑level certifications (AWS Certified Solutions Architect – Professional or Azure Architect AZ‑305)., • Beneficial for AWS GenAI Developer Professional, AWS ML Engineer Associate, or Azure AI Engineer Associate. We trust people to do their best work. That means flexibility over rigid rules, impact over activity, and real investment in your growth both professionally and personally. You’ll be part of a supportive and friendly culture, surrounded by smart, curious people who care deeply about what they do. We offer flexible working, including hybrid and remote options. Our office hubs are located in Edinburgh, Leeds, Manchester, London and Bulgaria, with occasional travel to client sites or CreateFuture offices when needed. We trust you to manage your time balancing collaboration with client time and focused work. What matters is the impact you have, not how busy you look. We believe diverse teams build better workplaces and better products. We want CreateFuture to be a place where people feel able to be themselves and do their best work. If you need any adjustments or support during the application process, just let us know. We will do what we can to help. #J-18808-Ljbffr

This range is provided by Adria Solutions Ltd. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more. My client, a forward-thinking financial services organisation, is seeking an AI Implementation Engineer to deliver practical AI solutions that streamline operations and improve business performance. This is an exciting opportunity to work at the forefront of applied AI, helping the company embed intelligent automation and data‑driven decision‑making across its functions. • Design, build, and deploy AI‑driven solutions to enhance business processes., • Collaborate with stakeholders to identify automation and optimisation opportunities., • Integrate AI tools and models within existing systems and workflows., • Support and upskill internal teams on effective AI adoption and usage., • Contribute to the development of scalable prototypes and production‑ready solutions., • Hands‑on experience with AI/ML tools (e.g. NLP, predictive modelling, process automation)., • Familiarity with cloud platforms (AWS, Azure, or GCP)., • Strong problem‑solving and collaboration skills., • Ability to communicate technical concepts clearly to non‑technical audiences., • Passionate about applying AI responsibly and effectively in business contexts., • Dedicated training and development budget., • Excellent career progression opportunities. Interested? Click Apply Now to join an organisation committed to innovation in financial services. Direct message the job poster from Adria Solutions Ltd. Location: Manchester, England, United Kingdom Seniority level: Mid‑Senior level Employment type: Full‑time Job function: Information Technology Industries: Technology, Information and Media #J-18808-Ljbffr

Our client is a global innovator and world leader with one of the most recognisable names within technology. They are looking for an experienced Quantexa Data Engineer with significant experience leading the technical development of Quantexa-based solutions. You will be tasked with designing and implementing robust data pipelines, configuring Quantexa components, and supporting the overall success of client engagements. We are seeking a Certified Senior Quantexa Data Engineer with significant experience of designing and implementing Quantexa solutions and leading client data engineering or integration projects for established clients. The successful candidate will have strong knowledge of Spark, Scala and Python Databricks. Any experience of DevOps and CI/CD pipelines, Jenkins, GitHub Actions, or Azure DevOps would be beneficial, as would familiarity with Docker and Kubernetes, but training will be provided. We are keen to hear from talented Quantexa Data Engineers from all backgrounds. This is a truly amazing opportunity to work for a prestigious brand that will do wonders for your career. They invest heavily in training and career development with unlimited career progression for top performers. Manchester / Hybrid £60k - £75k + Car + Pension + Benefits #J-18808-Ljbffr

Your roleCapgemini Engineering is looking for PLM DevOps Engineer, you will design, build and maintain the pipelines, environments and automation frameworks that enable PLM delivery teams to move safely from development through test, UAT, staging and production.You will work closely with PLM architects, configurators, developers, testers, security teams and release stakeholders to ensure that platform changes are repeatable, traceable and supportable.This is a hands-on role focused on Siemens Teamcenter, NX and related digital engineering services. Success will be measured by pipeline reliability, environment stability, deployment repeatability, release quality and the clarity of the technical controls and documentation supporting each release.Your profileStrong hands-on experience in DevOps, platform engineering, build engineering or release engineering within an enterprise or complex programme environment.Experience designing and maintaining CI/CD pipelines using Azure DevOps, Jenkins, GitLab CI, GitHub Actions or equivalent tooling.Practical knowledge of Git-based source control, branching strategies, release branches, pull requests, artefact repositories and configuration baselines.Experience automating infrastructure, application deployment or environment configuration using PowerShell, Python, Bash, Ansible, Terraform or similar technologies.Familiarity with PLM or engineering application environments, ideally Siemens Teamcenter, Active Workspace, NX and CAD/PLM integrations.Useful but not essentialExperience with Siemens Teamcenter deployment approaches and utilities, potentially including BMIDE, TEM, Active Workspace, Dispatcher, preferences, workflow templates and environment promotion.Experience with NX or other CAD authoring environments integrated with enterprise PLM platforms.Experience supporting Teamcenter upgrades, patching, cloning, environment refreshes or disaster-recovery rehearsals.Knowledge of automated testing approaches for PLM, web applications, integrations and CAD-connected workflows.Experience supporting data-migration rehearsals, cutover planning, deployment rehearsals or go-live for enterprise engineering platforms.Experience in defence, aerospace, nuclear, rail or another highly regulated engineering sector.If you're excited about this role but don’t meet every requirement, we still encourage you to apply, your unique experience could be just what we need.Make it real - what does it mean for you?Open access to digital learning platformsActive employee networks promoting diversity, equity and inclusion like OutFront, CapAbility or Women@CapgeminiCapgemini is proud to be a Disability Confident Employer (Level 2) under the UK Government’s Disability Confident scheme. As part of our commitment to inclusive recruitment, we will offer an interview to all candidates who:Declare they have a disability, andMeet the minimum essential criteria for the role.Please opt in during the application process.Capgemini. Make it real.Need to knowDue to the nature of the project this role requires Sole UK National.This is a hybrid role requires 2 days/week office presence based in Barrow-In-furness.You can bring your whole self to work. At Capgemini building an inclusivefuture is part of everyday life and will be part of your working reality. We havebuilt a representative and welcoming environment, for everyone.About CapgeminiCapgemini is an AI-powered global business and technology transformation partner, delivering tangible business value. We imagine the future of organisations and make it real with AI, technology and people. With our strong heritage of nearly 60 years, we are a responsible and diverse group of over 420,000 team members in more than 50 countries. We deliver end-to-end services and solutions with our deep industry expertise and strong partner ecosystem, leveraging our capabilities across strategy, technology, design, engineering and business operations. The Group reported 2025 global revenues of €22.5 billion.Make it real | www.capgemini.com #J-18808-Ljbffr

About us: Make a difference and advance your career by helping deliver some of the UK’s most important #tech4good projects, making the world a smarter, safer, greener, and healthier place. You’ll join a talented team of dynamic and driven professional problem solvers; creative thinkers and solutions builders who thrive on helping clients meet the most exciting digital transformation challenges. At a certifiedyou’ll experience a dynamic and nurturing environment that rewards initiative and flexibility and enjoy a career path tailored to your own aspirations. Founded in 1992, we are a successful, growing International digital transformation consultancy. We deliver multi-Queen’s Award for innovation winning platforms and services that support large-scale digital transformation. Our digital, data and technology solutions are used by globally recognised public and private sector brands operating in a variety of sectors including Civil Defence, Healthcare, Sustainable Environment and Land Asset Management, and Digital Democracy. The Role: As a Lead Full Stack Software Engineer at Informed Solutions, you’ll take overall technical ownership of large, complex digital solutions for the public sector. Your expertise will guide teams, influence technical strategy, and ensure the delivery of high-quality, scalable, and secure services. You’ll lead end-to-end delivery of major components or entire services, overseeing architecture, design, development, and continual improvement. Working collaboratively across Software Engineering, User-Centred Design, Delivery Management, and Data Science, you’ll shape enterprise-scale digital solutions, mentor colleagues, and drive innovation within the Engineering discipline. We are technology-agnostic, allowing you to select the best tools and platforms for each challenge. From .NET, Java, Python, Node.js, AWS, Azure, and more, you’ll deepen your technical expertise while shaping the way our teams deliver transformative solutions. Key Responsibilities Client Engagements: • Take overall technical responsibility for high-quality engineering across large, complex services, from design through operation and continual improvement., • Own the end-to-end architecture and design, producing and maintaining high-quality documentation and ensuring designs are effectively implemented., • Work with Delivery Managers to plan complex technical activities, provide robust estimates, and proactively mitigate technical risks and issues., • Build trusted client and partner relationships, offering guidance, enabling effective decision-making, and ensuring technically and commercially sound solutions., • Provide technical assurance and mentoring for teams, supporting less experienced practitioners and maximising overall delivery quality and velocity. Engineering Discipline: • Drive innovation and best practice adoption across the Engineering community, motivating and empowering domain practitioners to create a positive and creative culture., • Support the growth of our Engineering capability via recruitment, masterclasses, training, and curriculum development., • Provide Practitioner Coaching and technical leadership to guide the development of other engineers. Essential Skills: • Extensive experience leading Full Stack Engineering teams, with advanced skills in .NET or Java or Python, plus modern JavaScript libraries., • Proven track record of taking technical ownership of large-scale services, including architecture, design, and delivery across the full lifecycle., • Strong understanding of architectural and design patterns (serverless, microservices), with ability to lead and assure their application., • Experience leading delivery in Agile environments (Scrum, Kanban, TDD), providing technical guidance and contributing to planning and estimation., • Hands-on expertise the cloud, delivering scalable, secure, and well-architected solutions., • Experience mentoring and coaching engineers, enabling high-quality, efficient delivery., • Strong client engagement skills, able to advise on technical direction and build trusted relationships., • Familiarity with CI/CD tools such as Jenkins and/or Terraform. Desirable Skills: • Consultancy experience, engaging with external stakeholders and clients., • Exposure to public sector projects and delivery in complex organisational environments. Key abilities that are necessary for success: • Able to work effectively in environments where you can adapt to innovative practices involving uncertainty, change, and agile working., • Ability to manage competing priorities and your time so you can deliver high-quality work within deadlines., • Good interpersonal skills, with the ability to respect and accept different perspectives and disagreement, work collaboratively in diverse teams, and maintain positive working relationships., • Good judgement and decision-making in complex environments where uncertainty, ambiguity, and risk must be collaboratively managed by working supportively alongside others., • Good communication skills, including clear, constructive written outputs and measured, respectful verbal delivery. We work in a fast-paced, ever-evolving innovation and problem-solving workplace environment where no two days are the same. This requires you to have the foundations of personal resilience, professional adaptability, and flexibility in working alongside others with a positive mindset. We appreciate that this workplace culture and the level of variety won’t suit everyone. However, after significant consultations with colleagues at all levels, we understand that these are the fundamentals of success in undertaking the complex, innovation work which is the DNA of Informed Solutions. These shared foundations are important to team cohesion, performance, and mutual personal support. As colleagues, we thrive in successfully problem solving together to deliver real-world impact; and value the variety of challenges and opportunities to learn, grow, and progress on a personal and professional level. Our benefits package compliments our highly competitive salaries and our great working environment. We believe that our people should be properly rewarded for their commitment to the continued success of our business through a comprehensive and flexible range of benefits. These can include: • InformedACADEMY™ – We offer excellent career development opportunities through our award-winning personal and professional development programmes, including support with professional certifications., • Industry leading health and wellbeing plan – We partner with several wellbeing support functions to cater to each individuals need, including 24/7 GP services, mental health support and physical health support., • Hybrid working*, • Private Health Care Cover*, • Generous life assurance cover*, • Gym Membership*, • Monthly office lunch, • Onsite massage sessions, • 25 paid working days holiday per year plus bank holidays*, • Sabbatical Leave Scheme*, • Enhanced Maternity Leave and Pay*, • Enhanced Paternity Leave and Pay*, • Company Pension Contribution, • Profit Share Scheme, • Payment of professional subscriptions, • Generous referral scheme with no limits on the number of referrals *Qualifying period applies Culture We are proud to nurture a workplace culture that is diverse, inclusive, rewarding, and egalitarian. We strive to live up to our values of Innovation, Excellence, and Integrity by thinking about things differently, always doing our best, and acting in good faith at all times. We’re a team of passionate problem solvers. We take pride in helping our clients accelerate and de-risk digital business change so that we can collaborate and codesign world class digital services that solve complex business and safety critical problems, particularly where place, location or geography are important. Our workplace culture reflectshow we go about our work, the type of work that we choose to do, and our commitment and contribution to the sustainable social, environmental, and economic development aims of the communities that we are part of. #J-18808-Ljbffr

Our client is scaling several modern digital platforms and is looking for a highly technical Software Engineer in Test (SDET) to strengthen automation, quality engineering and delivery across multiple product teams. This is not a traditional QA role — it is a hands‑on engineering position where you will design automated solutions, build test frameworks, work closely with developers, and contribute directly to the quality and stability of services used at scale. You will be expected to think like an engineer, work with clean, maintainable code, and provide technical input into testing strategy and architecture. • Build and maintain scalable automated test frameworks, with a strong focus on API, integration and microservices testing., • Write clean, production‑quality test code in C# (strong preference) or another modern programming language (Java, TypeScript, Python)., • Analyse complex scenarios, transform API data programmatically, and validate end‑to‑end workflows., • Implement reusable design patterns, utilities and abstraction layers for test automation., • Enhance quality gates within CI/CD pipelines and support continuous testing practices., • Work collaboratively with software engineers to debug issues, improve reliability and refine testability., • Perform exploratory and risk‑based functional testing where needed., • Participate in technical design discussions, providing input on architecture, automation patterns and quality impact., • Complete a second‑stage technical challenge involving API automation, framework structure and code review discussions., • Strong experience as a Software Engineer in Test / SDET within modern Agile product teams., • Solid programming ability in C# (preferred), including writing reusable automation code, applying OOP principles and structuring maintainable test suites., • Demonstrable experience building API automation from scratch using libraries such as RestSharp, HttpClient, Playwright API, or similar frameworks., • Skilled in working with REST APIs, microservices and distributed systems., • Confident applying patterns such as Page/Service Objects, builders, and modular test design., • Familiar with mocking, data‑driven testing and handling dynamic or complex API payloads., • Proficient with version control (Git) and CI/CD pipelines (Azure DevOps, GitHub Actions, Jenkins)., • Comfortable reviewing logs, debugging failures and collaborating closely with developers., • Able to clearly explain technical choices, design decisions and automation strategy during interviews., • Experience with Azure cloud environments., • Familiarity with event‑driven architectures or messaging platforms., • Exposure to containerised test execution (Docker)., • Experience mentoring other engineers or championing automation initiatives. Mid‑Senior level Full‑time #J-18808-Ljbffr

City Of Manchester, Greater Manchester, M2 3AA Pay: £57,946 to £75,664 per year, 28.97% employer pension Contract Type: Permanent Hours: Full time Disability Confident: No Closing Date: 06/11/2026 Data Engineer Pay of up to £75,664, 28.97% employer pension contributions, hybrid working, flexible hours, and great work life balance. DWP. Digital with Purpose. Are you an experienced Senior Data Engineer with strong skills in Azure and data pipelines and experience leading technical teams? Join DWP's Data Engineering community and help build the data platforms and services that support millions of people across the UK. You'll lead the design and delivery of modern cloud-based data solutions, ensuring high-quality, trusted data is available to drive better decision-making across the organisation while supporting engineering standards and developing others within the team. We have opportunities across three areas of DWP Digital: Skills England • delivering data-driven insights and digital services to support skills development, workforce planning and technical education (London, Coventry, Darlington, Sheffield and Leeds). Data & Analytics, • within the Architecture and Engineering Technical Oversight Team, providing technical assurance and governance across data platforms, products and services (Blackpool, Manchester, Leeds and Newcastle). Technology Services, • delivering the secure cloud, connectivity, network and security foundations that underpin DWP's digital services (Manchester, Blackpool, Newcastle, Leeds and Birmingham). Successful candidates will be matched to the most suitable business area, with team and location details discussed during the recruitment process. What skills, knowledge and experience will you need? Proven experience designing and delivering complex ETL/ELT pipelines, managing priorities and driving quality outcomes. Ability to communicate complex technical concepts clearly to technical and non-technical audiences, including senior stakeholders. Strong understanding of cloud and distributed data processing, designing scalable, resilient and maintainable data solutions. Proven ability to analyse complex requirements, produce clear specifications and define effective testing approaches. Experience leading the resolution of complex data, platform and pipeline issues across strategic, tactical and operational levels. Strong knowledge of migrating and transforming data from legacy and on-premise systems to cloud platforms. Expertise in automating ETL/ELT pipelines using PySpark and Spark SQL across Azure-based data environments. You and your role As a Data Engineer, you will design build and enhance scalable ETL/ELT pipelines using Python and PySpark, ensuring data solutions are reliable, efficient and aligned with engineering best practice. You'll work closely with stakeholders to understand complex business requirements, transforming data into trusted, high-quality datasets that enable valuable insights, reporting and decision-making. You will manage and optimise data across multiple platforms, ensuring it is secure, accessible and fit for purpose, while supporting effective database management and data extraction solutions. Leading teams through large-scale data and platform transformation, you'll help shape technical direction, embed engineering best practice and develop capability across the wider team. Using your cloud data engineering expertise, you'll develop complex data pipelines, drive automation, improve platform performance and champion Agile delivery, data governance and operational excellence to deliver resilient, high-quality data services. Details. Wages. Location: You'll join us in your choice of Birmingham, Blackpool, Coventry, Darlington, Leeds, London (Caxton House), Manchester, Newcastle Upon Tyne and Sheffield 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 competitive pay of up to £75,664. You'll get a salary ofup to £68,205, and a Digital Allowance of up to £7,459 is available for exceptional candidates • both elements of the offer are 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., • 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 #J-18808-Ljbffr

HSO Group B.V. seeks a Forward Deployed Engineer to collaborate with strategic customers, turning AI, data and cloud capabilities into production-ready solutions. You will lead discovery, design, and delivery, ensuring measurable business impact and value across client environments. Work across Microsoft Fabric, Azure Data Services, Dynamics 365, Power Platform, and integrations while building reusable patterns and coaching teams for scale. #J-18808-Ljbffr

NPAworldwide is seeking an experienced Data Engineer to join our engineering team on high-priority projects across government and national security sectors, delivering robust data pipelines and scalable analytics. The role supports cloud-based architectures (AWS/Azure), Snowflake/Databricks, and data governance, with hybrid/remote options across UK offices. Occasional travel to customer sites may be required. #J-18808-Ljbffr

Senior Software Engineer – C# / .NET / SQL We're looking for an experienced Senior Software Engineer to join a growing technology team working on the development and modernisation of a large-scale software platform. This is a genuinely hands-on engineering role for someone who enjoys solving complex technical problems, cares about clean and maintainable code, and wants to contribute to architectural decisions rather than simply work through a backlog. You'll work across a modern Microsoft-focused environment, developing new functionality while helping evolve and modernise existing systems. • Building and modernising applications using .NET 8+, • Writing and optimising SQL Server queries, with a strong focus on performance, • Designing solutions across distributed and event-driven architectures, • Improving search, data processing and application performance, • Helping modernise existing platform components, • Working with containerised applications and cloud infrastructure, • Contributing to architecture and technical design discussions, • Participating in code reviews and helping maintain strong engineering standards, • Using AI-assisted development tools to improve engineering productivity and quality, • Working collaboratively with other experienced engineers to solve complex problems You'll ideally have strong commercial experience with: • C# / .NET, • SQL Server, including query optimisation, indexing, execution plans and performance tuning, • Async/await, memory management and resource handling, • RESTful/web-based applications, • Distributed systems, microservices and/or complex monolithic applications, • Clean Code, OOP and common software design patterns, • Automated testing and good software engineering practices, • Git and modern CI/CD environments Experience with Azure would be beneficial. Exposure to technologies such as Elasticsearch, Event Store, Svelte.js, Pulumi, Neo4j, InfluxDB, Seq or Power BI would also be useful, but isn't essential. This isn't about ticking every technology box. We're looking for an experienced engineer who: • Enjoys getting into complex technical problems, • Has particularly strong C#/.NET and SQL fundamentals, • Thinks about performance, scalability and maintainability, • Can explain the reasoning behind technical decisions, • Enjoys collaborating and sharing ideas with other engineers, • Is curious and continually looking to improve, • Has a positive attitude towards AI-assisted software engineering, • Wants to contribute to how systems are designed, not just how tickets are delivered Location: Manchester Hybrid: 2 days per week in the Manchester office Benefits: Strong overall benefits package alongside opportunities for continued technical development. If you're an experienced C#/.NET Engineer looking for a role where you'll have the opportunity to work on challenging systems, influence technical decisions and contribute to the ongoing modernisation of a substantial software platform, please get in touch. #J-18808-Ljbffr

At 1st Central, everything starts with our people. As one of the UK’s leading motor and home insurers, we use smart technology, data and great service to make insurance fast, fair and simple for over 1.4 million customers. We’re proud to create an environment where people feel supported, trusted and able to grow - whether that’s developing new skills, taking on fresh challenges or making a real impact every day. If you’re looking for a role where you can make a difference, we’d love to hear from you. We’re looking for a Data Engineer who thrives on building scalable, impactful solutions. Your work will power smarter decisions, unlock insights, and help us push the boundaries of what’s possible with data. This is a hands‑on technical role where you’ll design and build data solutions for both projects and long‑term products. You’ll take ownership of developing and implementing data pipelines, designing and maintaining databases, and ensuring solutions align with our technical standards and data platform best practices. We’re big on flexible hybrid working. Our teams are based across Haywards Heath (West Sussex) and Salford Quays (Manchester) and Guernsey. We primarily work from home but value collaboration, so we come together in person to keep ideas flowing, typically once a quarter. Prefer being in the office more often? That works for us too. If you’ve strong experience with PySpark, Python and SQL, we’d love to hear from you. • Cloud & Data Engineering: You’ll bring expertise in modern cloud platforms, delivering scalable and robust data solutions, with engineering and database skills in PySpark, Python, SQL Server and/or Azure (Data Factory, Synapse) and the associated ETL technologies., • Problem‑Solving & Innovation: You’ll thrive on tackling complex challenges, finding creative solutions, and approaching every task with a proactive, optimistic mindset., • Organisation & Delivery: You’ll balance multiple priorities with confidence, staying organised and focused. You’ll take pride in delivering high‑quality outcomes by following standards and designs, while suggesting improvements that raise the bar., • Collaboration & Teamwork: You’ll thrive in a collaborative environment, working towards shared goals while supporting and mentoring less experienced engineers to achieve their potential., • You’ll develop low to high complexity, secure, governed, high quality, efficient data pipelines from a variety of on and off premise, internal and external data sources, • You’ll ensure that data is cleansed, mapped, transformed and optimised for storage to meet requirements for business and technical use cases, • You’ll build data observability and data quality by design into all Data pipelines, promoting self‑testing pipelines that proactively identify processing issues or discrepancies, • You’ll build solutions that pipe transform data into data lake storage areas, physical database models and reporting structures across data lake, data warehouse, business intelligence systems and analytics applications, • You’ll build physical data models that are appropriately designed to meet business needs and optimise storage requirements, ensuring maximum re‑use, • You’ll carry out unit testing of own code, and peer testing of others code to ensure appropriate quality, • You’ll maintain effective, and appropriate documentation that brings transparency and understandability to pipelines created and code created., • You’ll follow coding standards, architectural principles, solution design/architecture and release management processes to ensure safe, high quality, compliant code, • You’ll coach and mentor Associate data engineers., • You’ll create low to high complexity BI solutions including data mart, semantic layer, and reporting & visualisation solutions in recognised BI tools such as Power BI. Requires experience of designing and building end to end data solutions (2-5 years). Engineering and database skills in SQL Server and/or Azure (Data Factory, Synapse) and the associated ETL technologies. Experience of working with large, event based, datasets in an enterprise environment. Experience of testing techniques and tools. Proven to be an excellent communicator with a desire to build rapport with others. Keen and active interest in the use of data, with active external networks. Brings ideas on how data can drive value for businesses. Good understanding of the full data lifecycle. Experience of Continuous Integration / Continuous Delivery (CI/CD). Experience of working in an agile environment and self‑managing teams. An excellent creative problem solver. Proactive and optimistic about what can be achieved Very good time management and organisation skills with the ability to prioritise multiple demands Supporting and enthusiastic team player focussed on delivering shared outcomes. Comfortable advising and supporting less experienced engineers. Energetic and proactive, and someone who motivates others by their “can do, will do” attitude. Able to follow, and make recommendations to improve, standards and designs, ensuring their work is of high quality. Bring your PySpark and SQL skills to the next level— Ready to join us? We’re looking for talented people who want to make a real impact for our customers, colleagues and business. Find out more about us here: who-we-are #J-18808-Ljbffr

This range is provided by SPG Resourcing. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more. Direct message the job poster from SPG Resourcing Greenfield Data Platform Initial 6 months | Start ASAP You will be working with a supply chain management consultancy building a greenfield data platform from the ground up. Data preparation is currently manual, and spreadsheet driven posing clear delivery risks and scalability limitations. The new platform will manage ingestion of customer data, standardisation, and allow for processing and analytics outputs. The organisation is now establishing its target data architecture internally. This Engineer will work alongside the architect to define the core data model, and build robust, scalable pipelines and data assets that operationalise that architecture. This is a hands‑on Data Engineering role with a strong emphasis on implementation quality, performance, and reliability in a greenfield environment. • Build and optimise data ingestion pipelines for varied client data sources including APIs, file uploads, batch feeds, streaming, and CDC, • Implement data models and transformations in line with defined architectural and modelling standards, • Work closely with architect to translate logical designs into production ready solutions, • Develop and maintain data quality, validation, and enrichment processes, • Support AI and ML driven use cases for data identification, categorisation, and enrichment, • Ensure data pipelines align with GDPR and ISO requirements, • Contribute to infrastructure as code practices alongside platform and DevOps teams, • Support downstream analytics and reporting use cases including Power BI, • Fully greenfield data estate, • Cloud agnostic architecture with early AWS prototyping, • Highly variable third party client data, • Microsoft 365 for internal operations, • Power BI used in a consultant driven delivery model, • Strong Senior Data Engineering experience on modern data platforms, • Proven delivery on greenfield or early stage data environments, • Hands on experience building scalable ingestion and transformation pipelines, • Strong SQL and data transformation capability, • Cloud data engineering experience across AWS, Azure, or GCP, • Familiarity with infrastructure as code, ideally Terraform, • Comfortable working autonomously while collaborating closely with architecture and product stakeholders, • Pragmatic, delivery focused mindset with strong attention to data quality and performance Mid-Senior level Contract Information Technology Operations Consulting and Business Consulting and Services #J-18808-Ljbffr

Position: Data Engineer Reporting to: Data Engineering Manager Location: Manchester Office, Hybrid working schedule As a Data Engineer, you will help shape the evolution of CMSPI's payments intelligence platform. You will work across the full data engineering lifecycle, designing secure data retrieval and ingestion capabilities, building reliable analytics workflows and supporting client onboarding. Working closely with a cross-functional development squad, you will turn business requirements into maintainable solutions while learning and applying modern engineering practices and technologies. Key accountability for this role: Deliver innovative, scalable and secure data solutions for CMSPI's payments intelligence platform. Key responsibilities will include: • Design scalable data architectures and retrieval solutions across APIs, web scrapers and SFTP, with security and performance at the centre., • Deliver prompt, efficient onboarding of CMSPI client data and contribute to new data features that create continuous business value., • Collaborate with engineers, agile delivery leads and business stakeholders to define, refine and deliver requirements in an agile squad., • Maintain high software quality through clean code, collaborative code and architecture reviews, automated testing and continuous integration., • Respond to stakeholder issues and queries, troubleshoot production problems and drive practical improvements to data solutions., • Help shape CMSPI's next generation data platform using powerful tools such as Databricks AI Gateway, enabling governed, agent-powered capabilities that support self-building and self-healing data pipelines., • Participate in sprint planning and daily stand-ups, keeping stories and tasks current and raising critical blockers early., • Learn, adopt and promote best practices in data engineering, including reusable Python libraries and maintainable functional and object-oriented code., • Stay aware of emerging technology trends and research ideas that can improve CMSPI's data platforms and engineering practices., • Work collaboratively as part of an Agile development squad and contribute to a culture of continuous learning and delivery. You are a great match if: • 2+ years' professional experience as a Data Engineer or DevOps Engineer., • Experience building ETL/ELT workflows for analytics using Spark or Hadoop., • Strong Microsoft Azure experience across DevOps/CI/CD, Azure Data Factory, Azure Data Lake, Azure Functions, Key Vault, monitoring, networking, identity, and cloud deployment services., • Databricks experience, including workflows/jobs, notebooks, Delta Lake, Unity Catalog and other Databricks-native tools., • Advanced Python skills, including efficient functional and object-oriented code, reusable Python libraries, and practical experience with packages such as requests, Selenium, and Playwright., • Strong problem-solving, analytical, communication and cross-functional collaboration skills., • Bachelor's degree in Computer Science, Mathematics or another analytical/numerical subject., • Highly desirable: experience with Agile squads, payments, Terraform/Bicep, Docker/Kubernetes, Scala, PowerShell or YAML., • Competitive annual company bonus linked to company and individual performance., • Future opportunity for equity (shadow stock) awarded to high performers., • Competitive pension plan from day 1 plus Vitality healthcare cover & cycle to work (after 6-months), • Monthly reimbursement for commuting costs., • 22 days' annual leave, increasing with service, plus UK bank holidays., • Wellbeing support, including an Employee Assistance Programme and mental health resources., • Learn from payments industry experts and accelerate your career through ongoing training and development., • Personal and professional growth opportunities, with personalised development plans tailored to your ambitions., • Quarterly employee recognition awards including a financial prize. #J-18808-Ljbffr

Clio is the global leader in legal AI technology, empowering legal professionals and law firms of every size to work smarter, faster, and more securely. We are transforming the legal experience for all by bettering the lives of legal professionals while increasing access to justice. The Clio operate team builds and maintains an innovative work and case management platform used across legal, energy, telecoms, and property management sectors. Our team works on a wide variety of challenges - from large-scale data management to real-time business workflows - and thrives on collaboration and continuous learning. You are an experienced engineer who enjoys solving complex problems and delivering high-quality software. You value collaboration, curiosity, and learning as much as coding. You understand the importance of clean code, maintainable architecture, and system performance, and you want to work in a culture where your contributions matter and your growth is supported. • Developing full-stack features using C#, .NET, HTML, CSS, JavaScript, and SQL., • Writing and optimizing hand‑crafted SQL queries to ensure high performance., • Designing and implementing event‑driven workflows using Event Store., • Enhancing search and data projections with ElasticSearch., • Modernizing components of the platform to .NET 8+ and Svelte.js, including containerized deployments., • Automating infrastructure with Pulumi and Azure DevOps., • Participating in architecture discussions, code reviews, and maintaining engineering best practices., • Strong experience with C#/.NET, including async/await, memory management, and resource handling., • Deep knowledge of SQL Server, including query optimization, indexing, execution plans, and performance tuning., • Solid understanding of HTML5, CSS3, Flexbox, and CSS Grid., • 5+ years of varied software engineering experience, ideally including scalable systems., • Experience with distributed systems, monoliths, or microservices., • Demonstrate a keen interest in improving your craft by using AI, • Exposure to ElasticSearch, Event Store, Neo4j, InfluxDB, Seq, Power BI., • Experience with micro‑ORMs such as PetaPoco., • Contributions to open‑source projects or personal coding projects., • Cloud infrastructure experience, especially Azure., • Strong grasp of clean code principles, OOP design, and software patterns. Compensation is one of the main components of Clio's Total Rewards Program. We have developed a series of programs and processes to ensure we are creating fair and competitive pay practices that form the foundation of our human and high-performing culture. • Competitive, equitable salary, • Clio offers a flexible hybrid work environment, • 25 days holiday + bank holidays, • Private Healthcare with Life Insurance & Critical Illness cover, • Pension contribution, • Professional development and growth options, • Clioversary recognition program with special acknowledgement at 3, 5, 7, and 10 years The expected salary range for this role is £63,800 to £86,200 GBP. Initial placement within the range is informed by geographic region, experience, and skillset, with room to progress as impact and tenure grow. Final offer amounts will vary based on candidate profile. Our team shows up as their authentic selves, and are united by our mission. We are dedicated to diversity, equity and inclusion. We pride ourselves in building and fostering an environment where our teams feel included, valued, and enabled to do the best work of their careers, wherever they choose to log in from. We believe that different perspectives, skills, backgrounds, and experiences result in higher-performing teams and better innovation. We are committed to equal employment and we encourage candidates from all backgrounds to apply. Clio provides accessibility accommodations during the recruitment process. Should you require any accommodation, please let us know and we will work with you to meet your needs. Disclaimer: We only communicate with candidates through official @clio.com email addresses. #J-18808-Ljbffr

Would you like to be part of a fast-growing technology and engineering organisation that nurtures an open, collaborative learning environment? Are you passionate about technology, people and developing your coding skills? If this describes you, we’re trying to create the best engineering consultancy in the UK and would love for you to be part of the journey. Credera Consulting Technology Consulting As a Lead Engineer at Credera, you will spend most of your time on client work, with the remainder of your time spent working on internal projects as well as training and development. Consultancy to us is about customer delivery first, carried out by technically excellent people. Our aim is not to pigeon-hole but rather upskill our engineers so they can learn and expand their expertise, as well as deliver on a variety of business-critical client projects. You are perceptive, personable, culturally sensitive and demonstrate a high degree of emotional intelligence. Being able to work collaboratively in a matrix organisation is essential, as is the ability to build data platforms using either cloud native products or commercial data analytics / data warehouse software. • Accountable for leading multiple, complex areas of data engineering delivery to time, cost and quality with minimal direction, • Experience effectively and inclusively managing teams to deliver agreed scope, acting as the key point of escalation for decisions that impact your area of work, • Demonstrable experience of building data pipelines using Spark, Python or SQL, • Experience working with AWS and its data and AI/ML services such as SageMaker, • Experience of big data and lakehouse platforms on AWS (EMR, Databricks or Snowflake), • Experience building data platforms such as Data Lakes, Lakehouses or Data Meshes that underpin analytics and AI workloads, • Understanding of Data Security, Data Governance and responsible AI principles, • The ability to partner with and influence senior stakeholders, building trust across the stakeholder landscape to drive the delivery of outcomes, • A track record of anticipating the risk landscape across a project and standing up multi-functional teams of SMEs to analyse and resolve issues, • Recognised as a subject matter expert who drives innovation and market-leading practices, bringing knowledge and experience from multiple clients and industries, • Have a drive for self-improvement and learning, including learning new programming languages, • Approach solving problems pragmatically, creating clarity and structure in ambiguous situations, • Experience productionising and operating data and AI/ML solutions, including Generative AI or LLM-based applications, • Experience coaching and mentoring engineers, putting in place structured development opportunities to build the capability of junior team members and client counterparts, • You will be required to hold active SC clearance for this role., • Experience of building automated data quality checks and metrics, • Experience creating and/or maintaining production software delivery pipelines using common CI/CD tools (GitHub Actions, Azure DevOps, Jenkins, CircleCI etc.), • Experience building LLM or foundation-model applications using frameworks such as LangChain, vector databases or agentic AI approaches, • Experience with MLOps and Infrastructure as Code (Terraform, CloudFormation etc.) for data, analytics and AI services, • Experience with data reporting and visualisation tools (Power BI, Tableau, Qlik etc.), • Experience using AI or Agentic techniques in application of the role through GitHub CoPilot, Claude Code, or equivalent. Along with a great company culture, Credera provides an exceptional compensation package (£84,000-100,000) including a competitive salary and a comprehensive benefit plan. Our consistent growth over the years and entrepreneurial environment, provides an excellent platform to embark upon an exciting career path, where your contribution really counts, and we will recognise it. With personalised development opportunities, experienced colleagues around the globe and exciting client assignments, progression can be extremely rapid for high performers. We are a social bunch of people and connect as a team on a regular basis. Learn More Credera is a global consulting firm that combines transformational consulting capabilities, deep industry knowledge, and AI and technology expertise to deliver valuable customer experiences and accelerated growth across a broad range of industries worldwide. Our one-of-a-kind global boutique approach means we provide our clients with tailored solutions unique to their organisation that can scale due to our extensive footprint. As a values-led organisation, our mission is to make an extraordinary impact on our clients, our people, and our community. We believe it is this approach that has allowed us to work with and transform the most influential brands and organisations in the world, from strategy through to execution. We are part of the OPMG Group of Companies, a division of Omnicom Group Inc. Credera will never ask for money up front and will not use apps such as Facebook Messenger, WhatsApp or Google Hangouts for communicating with you. You should be very wary of, and carefully scrutinise, any job opportunity that asks for money prior to starting and/or one where all communications take place exclusively via chat. Omnicom’s policy requires employees to work in the office for a minimum of three days a week, unless additional in-office days are directed by their agency or manager. Our objective is to increase this requirement over time, and many of our agencies as well as Omnicom’s corporate group already require five days of in-office attendance. Omnicom is committed to hiring and developing exceptional talent. We agree that talent is uniquely distributed, and we’re focused on developing inclusive teams that can bring the best solutions to everything we do. We strongly believe that celebrating what makes us different makes us better together. Join us—we look forward to getting to know you. We will process your personal data in accordance with our Recruitment Privacy Notice. Link to Recruitment Privacy Notice: privacy-notice/ #J-18808-Ljbffr

Remote - With visits to Leeds office Our talented people are creating the technology of the future. From scheduling to maintenance to keeping people safe, 2.7 million people are helped by our software daily. Technology makes it possible; people make it happen and you could be part of that. Remote - With visits to Leeds office Our talented people are creating the technology of the future. From scheduling to maintenance to keeping people safe, 2.7 million people are helped by our software daily. Technology makes it possible; people make it happen and you could be part of that. The Tracsis Group has grown rapidly, diversifying into related transport technologies, and successfully executing a strategy that has seen it make a total of seventeen acquisitions. Today Tracsis is a leading provider of software, hardware, data analytics/GIS and services for the rail, traffic data and wider transport industries. The Group has c.550 permanent employees serving its growing customer base from offices in the UK, Ireland and the US. We're looking for an experienced Lead Platform Engineer to help design, build and operate our AWS-based platform. As a lead technical contributor within our Platform Engineering function, you'll play a key role in shaping the capabilities that underpin our strategic objectives across Developer Experience, Service Reliability, and Business Agility. You’ll work primarily with AWS (EKS), alongside the CNCF ecosystem, Istio service mesh, ArgoCD, Terraform & Crossplane, and GitLab CI/CD. Experience with GKE or Azure is a plus. You’ll need solid skills in at least one modern language (Python, Go, Java or C#) and strong Linux administration. Observability: Grafana stack, Thanos, Loki, Tempo, Jaeger Security: HashiCorp Vault, IAM, policy-as-code FinOps and cost optimisation • Owning technical strategy and architecture for the platform, • Driving incident management, reliability, observability and on-call production ownership, • Mentoring and motivating colleagues to raise the technical bar, • Improving developer experience and working hand-in-glove with the developer community, • Building secure, observable and scalable cloud-native platforms with self-service concepts at scale, • Living an “automate everything” philosophy while keeping a close eye on cost (FinOps), • 5–8+ years in platform, SRE or DevOps roles, • Strong production experience with EKS (primary), Istio service mesh and GitOps, with exposure to GKE or Azure, • Hands-on expertise with Terraform, Crossplane and GitLab CI/CD, • Solid Linux administration skills and understanding of self-service concepts at scale, • Strong focus on security (Vault, IAM), observability (Grafana/Thanos/Loki/Tempo/Jaeger) and FinOp, • Comfortable with on-call and production ownership, • A pragmatic engineering mindset with clear ownership, the ability to motivate others, and a drive to automate everything Our values We’re guided by four core values that shape how we work and collaborate: Progression – continually improving and developing Integrity – doing the right thing, always Collaboration – working together to achieve more Ownership – taking responsibility and delivering with accountability • Flexible working hours to support work-life balance, • 25 days holiday + bank holidays, • Competitive salary, • Udemy Licence for learning and development, • Bupa Medical Health care, • Life assurance (3x basic salary), • Enhanced Parental Leave, • 2 volunteering days per year, • Tusker Car Scheme, • Cycle to work scheme Our process is designed for us to understand your skills and experience and to give you the opportunity to find out more about the role, as well as the company. We are committed to building a diverse workforce. Even if you do not tick all the boxes, we would still love to hear from you! If you require any adjustments or additional support during the application and interview process do not hesitate to get in touch. #J-18808-Ljbffr

• The Security Architect is a senior technical leadership role responsible for defining, governing and evolving secure enterprise architectures across Advania’s Managed Services client base, • The role provides strategic and technical leadership across identity, security, cloud, infrastructure, networking, data protection and operational security domains, with a particular focus on Microsoft technologies including Entra ID, Defender, Sentinel, Purview, Azure and Microsoft 365, • Security Architecture Leadership, • Act as the lead security architecture authority across assigned Managed Services clients, • Develop enterprise security strategies, roadmaps and target-state architectures, • Produce and govern High-Level Designs (HLDs), Low-Level Designs (LLDs) and reference architectures, • Ensure architectures align with Zero Trust, Security by Design and Secure by Default principles, • Conduct architecture reviews and design assurance activities, • Identity & Access Management Architecture, • Design and govern enterprise identity strategies across cloud, hybrid and on-premises environments, • Lead architecture for:, • Microsoft Entra ID, • Active Directory, • Identity Governance, • Privileged Identity Management (PIM), • Conditional Access, • Authentication Services, • Federation, • Single Sign-On, • B2B/B2C identity models, • Define lifecycle management and access governance strategies, • Architect integrations between Microsoft identity services and third-party platforms. Managed Identities, Conditional Access, Identity Governance, Enterprise Applications and hybrid identity capabilities are core areas already recognised within Advania’s service offerings, • Microsoft Security Architecture, • Provide architectural ownership across the Microsoft security ecosystem, including:, • Microsoft Defender Suite, • Microsoft Sentinel, • Microsoft Purview, • Security Copilot, • Microsoft Intune, • Entra ID Security, • Azure Security Services, • Microsoft 365 Security & Compliance, • Develop security patterns and reference architectures for:, • Threat protection, • Identity protection, • Data protection, • Insider risk management, • Security monitoring, • Compliance, • AI security, • These technologies are explicitly identified as core security architecture domains within Advania’s security architecture practice, • Infrastructure & Platform Integration, • Design secure architectures spanning:, • Azure, • AWS, • Google Cloud, • On-premises infrastructure, • SaaS platforms, • Datacentre environments, • Lead secure integration of:, • Third-party security products, • Network infrastructure, • Business applications, • Identity providers, • Security operations tooling, • Assess technical dependencies and integration risks across complex customer estates, • Managed Services Enablement, • Support the onboarding of customer environments into managed services, • Ensure new solutions are operationally supportable, • Define service acceptance criteria and operational design requirements, • Work alongside SOC, Managed Identity, Azure and Infrastructure teams to establish support models, • Provide technical governance throughout the service lifecycle, • Client Advisory & Strategic Engagement, • Act as trusted advisor to CIO, CTO, CISO and technology leadership teams, • Facilitate architecture workshops and strategy sessions, • Develop security strategies, maturity roadmaps and investment plans, • Present architecture solutions and recommendations to executive and board-level stakeholders, • Support client security assessments, audits and transformation programmes, • Service Development, • Support the creation and evolution of Managed Security Services, • Define architecture standards, reusable patterns and technical frameworks, • Evaluate emerging technologies and services, • Drive innovation across identity, cloud security, AI security and automation, • What Success Looks Like, • Structural review of 10 clients, understand posture, contract, roadmaps and major risks, • Develop reusable patterns covering Entra ID, Purview, and Defender for Cloud, • Support at least 5 qualified opportunities, • Trusted architecture authority across assigned clients, • Infrastructure Integration, • Cloud based PKI, • Executive stakeholder management, • Microsoft Sentinel, • AZ-305 Azure Solutions Architect, • GDPR Risk Management, • Microsoft Entra ID, • Multi-cloud security architecture, • Client Engagement, • PIM SC-100 Cybersecurity Architect Expert, • MFA, • Minimum 3-5 years’ experience in enterprise security, cloud architecture or cyber security roles, • Strong understanding of: Increased adoption of Microsoft security technologies AI security and governance Networking DORA Deep expertise in: Threat Modelling Security Engineering Identity Governance Microsoft Intune Cloud Security Reusable architecture standards and patterns established across the business Directory Services Regulatory environments including: Positive client satisfaction and stakeholder feedback SSO Infrastructure Cyber Essentials Microsoft Federation Managed Services environment Microsoft Defender Suite Growth of architecture-led consultancy and managed service opportunities Extensive client-facing consultancy experience Azure Security Success Measures Architecture workshop facilitation Identity & Access Management Authentication Security architectures successfully deployed into operational managed services ISO 27001 Security Governance Azure Landing Zones SC-200 Security Operations Analyst Hybrid Identity Advanced experience across: Microsoft Purview Desirable Experience Exposure Management and Vulnerability Management platforms API Security NIST CSF Secure DevOps / DevSecOps Security Operations integration Microsoft 365 Security & Compliance FCA / PRA Security Monitoring Improved client security maturity and resilience Microsoft Expertise AZ-500 Azure Security Engineer SC-300 Identity & Access Administrator Secure Architecture Frameworks Demonstrable experience operating as a Security Architect, Enterprise Architect or Principal Consultant Technical leadership across multiple concurrent clients NIS2 Data Protection Hybrid Infrastructure Zero Trust Architecture CISSP Certifications CCSP CISMS ABSA Practitioner #J-18808-Ljbffr

Salary: Competitive Plus Benefits Location: Manchester Store Support Centre and Home, Manchester, M4 3AL Hours: Full time Contract type: Permanent Business area: Sainsbury's Tech Closing date: 23 October 2026 Requisition ID: 400073860 We’d all like amazing work to do, and real work-life balance. That’s waiting for you at Sainsbury’s. Think about the scale it takes to feed the nation. The level of data, transactions and variety involved. Then you’ll realise this is a modern software engineering environment, because it has to be. We’ve made significant investment in the standards and principles that shape how we work. We iterate, learn, experiment and champion ways of working such as Agile, Scrum and XP. So you can look forward to exciting opportunities across everything from AI to reusable tech. We don’t think we’re exaggerating when we say we have one of the most exciting data sets in the country. The insights we gain help us build scalable, high‑performance products using cutting‑edge technology—products that give our customers an amazing shopping experience, including our award‑winning Smartshop app. In an inclusive, agile environment, you’ll have the space to be curious, to experiment, and to solve real‑world challenges. Best of all, you’ll see your work in the hands of millions of people across the UK. As a Java Engineer, you’ll join one of our Engineering teams to create exceptional products aligned to best‑practice architectural and engineering principles. Working with Java (17+) and modern frameworks like Spring Boot and Maven, you’ll design and develop large‑scale, high‑performance services across websites, apps, microservices, and event‑driven architectures. We want you to bring your whole self to work—be analytical, curious, and ready to challenge the status quo. You’ll be a key contributor to continuous improvement within your team and the wider engineering community. • Design and develop large‑scale, high‑performance services using Java (17+), Spring Boot, Maven, and related tools., • Build and enhance websites, apps, microservices, and event‑driven architectures., • Contribute to the product technical roadmap., • Work with cloud and container technologies, including Kubernetes on AWS, Azure, or Google Cloud Platform., • Lead the design and support of internal frameworks that enhance wider engineering capabilities., • Engineer across the full product lifecycle, including decommissioning. Consider cost, scalability, and support implications in all engineering decisions. • Strong expertise in Java and Spring Boot., • Solid understanding of engineering and architectural principles, including unit testing and TDD., • Proven experience in software design and implementation across security, cloud, infrastructure as code, and CI/CD., • Experience working with microservices and event‑driven systems., • Knowledge of cloud platforms (AWS, Azure, or GCP) and containerisation (Kubernetes)., • Strong self‑drive and commitment to improving processes, teams, and engineering communities., • Advocacy for Agile and Lean delivery methodologies., • Passion for delivering customer‑focused solutions and owning the full SDLC following DevSecOps principles., • Curiosity and a genuine interest in emerging technologies. Empathy, teamwork, and the ability to support others in delivering high‑quality outcomes. • Generous colleague discount across Sainsbury’s, Argos, and Habitat., • Pension plan., • Access to special offers on gyms, restaurants, holidays, retail vouchers and more. We offer flexibility in how, when, and where you work—combining remote collaboration with the right balance of freedom to support your life outside work. We are committed to being a truly inclusive retailer, so you’ll be welcomed whoever you are and wherever you work. Around here, there’s always the chance to try something new-whether that’s as part of an evolving team or somewhere else across the business - and we take development seriously and promise to support you. We also recognise and celebrate colleagues when they go the extra mile and, where possible, offer flexible working. When you join our team, we’ll also offer you an amazing range of benefits. Here are some of them: Starting off with colleague discount, you'll be able to get 10% off at Sainsbury's, Argos, TU and Habitat after 4 weeks. This increases to 15% off at Sainsbury’s every Friday and Saturday and 15% off at Argos every pay day. We've also got you covered for your future with our pensions scheme and life cover. You'll also be able to share in our success as you may be eligible for a performance-related bonus of up to 10% of salary, depending on how we perform. Your wellbeing is important to us too. You'll receive an annual holiday allowance, and you can buy additional holiday. We also offer other benefits that will help your money go further such as season ticket loans, cycle to work scheme, health cash plans, pay advance (where you can access some of your pay before pay day) as well access to a great range of discounts from hundreds of other retailers. And if you ever need it there is also an employee assistance programme. Moments that matter are as important to us as they are to you which is why we give up to 26 weeks’ pay for maternity or adoption leave and up to 4 weeks’ pay for paternity leave. Please see www.sainsburys.jobs for a range of our benefits (note, length of service and eligibility criteria may apply). #J-18808-Ljbffr

Hippo is a rapidly growing digital consultancy passionate about building and delivering transformative digital solutions for a diverse range of Public and Private sector clients. We are recruiting for a Lead Data Engineer to join our Hippo Herd. We work at the intersection of strategy, design, and technology to solve complex problems and create lasting value. Our collaborative and agile culture empowers our teams to make a genuine impact. As a Lead Data Engineer, you will play an important role in making Hippo the best Consultancy out there. You will work as part of a multi-disciplinary team combining data, design, product, delivery, analysis and engineering to deliver bespoke digital services that make a positive and meaningful impact on organisations and society. We're confident in our abilities, authentic in our approach, and passionate about what we do. You will act as a Lead Consultant providing technical expertise in data engineering practices both internally and to our clients. Lead Data Engineers at Hippo are experts in their field, leaders of people and teams, who drive strategic technical deliverables while maintaining high‑level client relationships. Our solutions empower our customers to build and support secure, scalable, and well‑engineered systems beyond traditional boundaries. We leverage deep data insights and continuous innovation to deliver awesome platforms that allow our customers to understand and get the most from their data and digital services. The Lead Data Engineer will be a key player and implementer in this mission. • Act as a technical SME within the Hippo engineering community to ensure user‑centred software is developed based on business requirements and best practice., • Work collaboratively with colleagues and stakeholders to explore, design and deliver solutions to complex client problems., • Design and manage software development and deployment pipelines, resolving issues and potential bottlenecks before they occur., • Continuously review and prioritise the delivery team’s workload and anticipate the need for realignment with evolving priorities., • Be a strong communicator and presenter, presenting solutions and progress to internal and external stakeholders in a clear, concise manner., • Build great relationships with your team and stakeholders, identifying and ensuring that challenges are overcome., • Lead in the recruitment and on‑boarding of other engineers, and support consultants in their professional development., • Lead on new business opportunities, writing technical bids and proposals., • Promote Hippo’s Data Herd externally through writing blogs, workshops, or speaking at conferences., • Excellent experience delivering in Python and experience with at least one other core language., • Excellent experience of SQL and relational databases., • Solid experience of Cloud providers such as AWS, Azure or GCP., • Solid experience of working with Snowflake and dbt., • Strong experience of working with different data formats, e.g., CSV, JSON and XML., • Expertise in building reliable Data Pipelines., • Experience operating as a technical leader on complex projects and able to manage stakeholder expectations., • Expertise in coaching and guiding others on the best way to achieve an optimal solution., • Excellent verbal/written communication skills, able to articulate in both technical/non‑technical terms depending on audience., • Mastery of working in an Agile Environment and CI/CD practices., • Ability to define working procedures and methodologies for the team., • Knowledge of NoSQL databases., • Experience in Data Modelling is highly desirable., • Broader knowledge of IT — e.g., Security and Networking. Alongside working with some of the most talented people out there and on‑top of a competitive salary, which we’re transparent about from the outset, you can also expect a range of benefits: • Contributory Pension Scheme (Hippo 6% & Employee 2%), • 25 Days Holiday plus UK Public Holidays, • Perkbox access for a wide range of discounts, • Critical illness cover, • Life assurance and death in service cover, • Volunteer days, • Cycle-to-work scheme for the avid cyclists, • Salary sacrifice electric vehicles scheme, • Season ticket loans, • Financial and general wellbeing sessions, • Flexible benefits scheme with options of:, • Private health cover, • Private dental cover, • Additional company pension contributions, • Additional holidays (up to an extra 2 days), • Wellbeing contribution, • Charity contributions, • Tree planting At Hippo, we’re dedicated to creating a diverse, equitable and inclusive workplace that works for everyone. We understand that having a diverse team unlocks our capacity for innovation, creativity and problem solving. Only by building a community of diverse perspectives, cultures and socio‑economic backgrounds can we create an environment where all can contribute and thrive. We actively encourage applications from underrepresented groups including women, ethnic minorities, LGBTQ+, neurodivergent and people with disabilities. We are committed to providing an inclusive and accessible recruitment process that reflects our workplace culture. We are a registered Disability Confident Employer, Mindful Employer, Endometriosis Friendly Employer and a member of the Armed Forces Covenant. Hippo continually strives to remove barriers, provide accommodations and offer reasonable adjustments to ensure equity throughout our practices. At Hippo, we design with empathy and build for impact. We do this by combining data‑informed evidence, human‑centred design and software engineering. We're a digital services partner who is genuinely invested in helping our clients thrive as modern organisations. Our delivery methodology is truly agile, from concept to reality, supporting innovation and continuous improvement to achieve your desired outcomes. We firmly believe that technology should serve humanity, not the other way around. We take a human‑centred approach to everything we do because we understand that complex problems require a service design approach. This means understanding how users behave and ensuring our solutions work for them in the real world. Our combination of data, design, and engineering delivers bespoke digital services that make a positive and meaningful impact on organisations and society. Have a look through our Website at Our Story & Purpose, Our Culture & Values, Case Studies and Our Solutions & Services to find out some more! We are headquartered in Leeds and have offices across the UK in Glasgow, Manchester, Birmingham, London and Bristol. We're on the lookout for top talent nationwide but you need to be located within reasonable travelling distance from one of our offices. Given the dynamic nature of a consulting business, you may be required to work on‑site at a Hippo office or at an in/out of town client location for a number of days per week (client dependent) and therefore candidates will need to be open/flexible to travel and working on one of those sites at least 2 days per week. We offer a generous relocation support package of up to £8,000 (please ask for terms and conditions) to help make your move a smooth one. #J-18808-Ljbffr

At SeeChange, we leverage AI to create transformative solutions that deliver positive impact on both retailers and customers, enabling a more secure, seamless, and efficient shopping experience. From loss prevention and product recognition to hazard detection and operational insights, we deliver scalable AI solutions for global brands. Backed by leading investors and development hubs in the UK and Serbia, we are scaling rapidly and investing heavily in our next-generation visual AI. As part of that growth, we are extending our Core SeeWare Platform team and seeking an experienced Staff Software Engineer to join us at our Manchester (UK) or Belgrade (Serbia) office. SeeWare is a modular, containerised AI platform that serves as the backbone for every SeeChange solution. By converting raw camera and sensor data into actionable insights and alerts, it provides the foundation for our technology. As a Staff Software Engineer, you will maintain and evolve this essential infrastructure, placing you at the heart of everything we build. • Provide the tools to build, deploy, and maintain AI solutions using the SeeWare Platform. You will work with a heterogeneous, distributed hardware environment running dynamically configured software to process structured data and address real-world AI challenges., • Create, deploy, and maintain containerised applications to provide and monitor the end-to-end data flow of our AI solutions., • Support the scaling of the SeeWare Platform across thousands of stores while adhering to our robust requirements for stability, auditability and control., • Collaborate with the QA team to ensure your changes are proven before releasing to production. To be successful in this role, we’ll be expecting you to: • Have extensive experience and a deep understanding of Golang as your main day-to-day programming language., • Demonstrate a good understanding of containerisation, including the creation of Docker images and managing their lifecycle., • Be confident in using Linux/Unix operating systems with a focus on edge devices and virtual machines in the cloud., • Have an automation-first mindset, embracing DevOps CI/CD Pipelines and Infrastructure-as-Code as the default way to deploy your code., • Possess strong analytical and creative problem-solving abilities., • Communicate system design and architecture to non-experts and members of other teams concisely while recommending the best approach to solve a given problem., • Work from the office at least one day per week., • Integrating code with multiple cloud providers (i.e. AWS, Azure, GCP), • Ansible for Infrastructure-as-Code for our deployments, • Python to understand the AI Solution team's code, • Working on AI/ML solutions for major brands, you will be part of a team with a global industry impact., • We offer a competitive reimbursement package while respecting work-life balance., • You will work with leading experts in the field, as part of a vibrant, multicultural team., • Your ideas will be heard, and successful initiatives will be rewarded. This role is open to candidates with a legal right to work in the UK or Serbia. If you want to make a difference by delivering AI solutions to the real world and work at the cutting edge of software development, #J-18808-Ljbffr

This is a newly created role and the first dedicated product management position atCloudGuard. Location: Hybrid, with 1 day per week in Manchester or Belfast Office Employment Type: Full-Time, Permanent Products Owned: ANSEL (AI SOC automation platform) and theCloudGuardPortal Salary: Competitive, dependent on experience This is a newly created role and the first dedicated product management position atCloudGuard. ANSEL , our AI-driven SOC automation platform, and theCloudGuardPortal, the front-of-house dashboard where clients see their service running live, are wherethe majority ofour intellectual property and commercial value sit. The Product Manager will own bothendto end: the strategy, the roadmap, the customer insight that shapes them, and the discipline that gets them shipped. You will report directly to the CTO and work across engineering, SOC operations, CustomerSuccessand the executive team. You will spend as much time with customers, analysts and the market as you do with the backlog, and you will be expected to hold the organisation to account on what we said we would build and when we said we would build it. This is not a role for a backlog administrator.CloudGuardneeds someone with a clear point of view on where these products should go, the evidence to support it, and the credibility to carry engineers,executivesand customers with them. Product Ownership: ANSEL & theCloudGuardPortal • Own the vision, strategy and roadmap for ANSEL, our AI-driven SOC automation platform, and theCloudGuardPortal, our client-facing service dashboard., • Define what good looks like for each product: the problems they solve, the outcomes they deliver, and the measures that prove it., • Maintain a single prioritised roadmap that balances customer demand, commercial opportunity, SOC operationalneedand technical debt., • Own the product backlog in Azure DevOps, writing clear epics, features, userstoriesand acceptance criteria that engineering can act on without needing translation., • Make and defend prioritisation calls, including the decisions not to build something, and make the reasoning visible to everyone affected by it., • Own the end-to-end client experience within the Portal, from first login to daily operational use, so customers can see their service live, understand their metrics, and act on what needs their attention., • Run a continuous programme of customer discovery, including interviews, feedback sessions, usageanalysisand win/loss reviews., • Work closely with Customer Success and the customer experience team to systematically capture, triage and act on feedback from live accounts, rather than letting it disappear into service reviews., • Spend time with the SOC analysts who use ANSEL every day. They are as much a user group as our customers, and their friction is product signal., • Maintain a clear view of the competitive and vendor landscape across MDR, SOC automation, SIEM and adjacent Microsoft security tooling, and know precisely howCloudGuarddifferentiates., • Track market direction, regulatorymovementand shifting buyer expectations, and translate them into product implications rather than observations., • Support sales and marketing with product positioning, messaging,demonstrationsand competitive insight. Working with Engineering • Work dayto day with our engineering and platform teams in Azure DevOps,operatingan agile delivery model across Kanban boards and CI/CD pipelines., • Participate fully in the delivery cadence, including backlog refinement, sprint planning,reviewsand release planning, providing clarity on the why while the teams own the how., • Ensure every piece of work carries a clear problem statement, defined acceptancecriteriaand an agreed measure of success before it enters the build pipeline., • Partner with engineering leadership on technical trade-offs,sequencingand capacity, balancing new capability against platform stability,securityand scale., • Support release management, including release notes, internal enablement, and customer-facing communication of what has shipped and why it matters. Stakeholder Accountability & Executive Reporting • Run a regular weekly and sprint-based cadence that keeps stakeholders informed, aligned and accountable to the commitments they have made., • Chair product steering groups, capturing decisions and driving actions through to closure., • Produce clear, honest reporting on product progress, adoption, risk and roadmap change for the CTO, the wider leadershipteamand the board., • Own the product content within investor and board material, including roadmap narrative, product metrics, marketpositioningand competitive context., • Escalate early rather than reporting late. When commitments slip, we want to know while there is still time to do something about it. Commercial & Lifecycle Ownership • Work with the CTO and commercial leadership on packaging, pricing and service tiering for ANSEL and Portal capability., • Build the business case for significant product investment, including build,buyor partner decisions., • Define and track the product metrics that matter, such as adoption, engagement, automation coverage, analyst time saved, and the operational indicators of a healthy platform., • Own the full product lifecycle, including the deprecation and sunset of features that no longer earn their place., • Ensure product decisions account for the security,complianceand data protection obligations of an MSSP operating in regulated environments. CloudGuardis a UK-based Microsoft Security specialist MSSP – built differently from the ground up. Operating dual Security Operations Centres in Manchester and Belfast, we combine deep Microsoft securityexpertisewith human-led operations to deliver security that is measurable, scalable, and continuously evolving. We exist to close the gap between the security organisations think they have and the security theyactually need. Security Done Different is not a tagline,it’show weoperateevery day. Experience & Background • Proven experience as a Product Manager or Product Owner for a technical B2B software,SaaSor managed service platform., • Demonstrable ownership of a product roadmap from discovery through to delivery and measurable outcome, not just feature delivery against someone else’s plan., • Strongtrack recordof working directly with engineering teams in an agile environment, with hands-on experience of Azure DevOps,Jiraor equivalent., • Experience running customer discovery and market research, and turning what you learn into prioritised,evidencedproduct decisions., • Confident presenting to executive audiences, with experience producing board or investor-level material., • Background in cybersecurity, managed security services or a SOC environment is a significant advantage. Familiarity with the Microsoft security landscape (Sentinel, Defender, Entra) is highly desirable., • Exposure to AI or automation products, with a practical understanding of what these technologies can and cannot yet do reliably. Skills & Qualities • Commercially minded. You understand that a product exists to create value for customers and for the business, and you can articulate both., • Evidence-led. You form strong opinions from research and data, and you change them when the evidence changes., • Exceptional communicator, equally credible writing a board paper, running a customer workshop, or debating a design decision with an engineer., • Comfortable holding senior people to account without damaging the relationship., • Decisive under uncertainty. You would rather make a clear call and adjust than wait for perfect information., • Genuinely curious about the technology. You do not need to write code, but you should want to understand how ANSELactually works., • Organised and disciplined, but adaptable.CloudGuardmoves fast, and part of the product function you will be building yourself. Qualifications • Degree-level education or equivalent professional experience., • A recognised product or agile qualification such as Pragmatic Institute,SAFePOPM or Certified Scrum Product Owner is desirable. Practical delivery capability matters more than certification alone, demonstrable over at least 5 years in product roles., • You must be a UK Citizen and resident., • Full ownership of the two products that carry the majority ofCloudGuard’sintellectual property and commercial value., • A direct line to the CTO and a seat in the conversations where technology strategy isactually set., • The opportunity to build the product function from the ground up and shape how it works as the business scales., • A genuinely progressive, forward-thinking environment. We are not a traditional MSSP and wedon’toperatelike one., • Dual SOC operations in Manchester and Belfast, a business with real scale, real clients, and real ambition., • A leadership team that is accessible, invested in your development, and direct in its communication., • Competitive salary and benefits package, reviewed regularly as the business grows. | Office Requirement: Hybrid, with 1 day per week in Manchester or Belfast Office CloudGuardis an equal opportunities employer. We are committed to building a team as diverse as the clients we protect. #J-18808-Ljbffr

AI Platform & Site Reliability Engineering Managing ConsultantManchester, Glasgow, LondonApply for this job Permanent Experienced Professionals Strategy & Transformation ID 545400-en\_GB## ABOUT CAPGEMINIAt Capgemini Invent, we believe difference drives change. As inventive transformation consultants, we blend our strategic, creative and scientific capabilities, collaborating closely with clients to deliver cutting-edge solutions. Join us to drive transformation tailored to our client's challenges of today and tomorrow. Informed and validated by science and data. Superpowered by creativity and design. All underpinned by technology created with purpose.## YOUR ROLEAs an AI Platform & Site Reliability Engineering Managing Consultant, you will help clients design, build and scale secure, reliable and operationally effective AI platforms. You will combine expertise in platform engineering, Site Reliability Engineering (SRE), observability and intelligent operations to help organisations move from isolated AI experimentation to production-grade, enterprise-scale AI services.You will work with technology, engineering, operations and business leaders to establish the platforms, operating models, governance and reliability practices required to run AI-enabled services safely, effectively and at scale. Acting as a trusted advisor to senior stakeholders, you will shape client strategy while leading delivery teams and helping grow our AI Platform & Reliability Engineering capability.This will include: • AI Platform Strategy & Architecture: Assess, define and evolve enterprise AI platform architectures, covering LLM and agentic frameworks, AI gateways, model lifecycle management, data platforms, MLOps/LLMOps foundations and integration patterns. Support clients in evaluating build, buy and hybrid approaches aligned to business needs, risk appetite and operational requirements.• AI Platform Engineering & LLMOps: Design and implement scalable AI platform capabilities including model deployment pipelines, prompt and model management, evaluation frameworks, AI observability, platform automation and operational guardrails. Enable reliable and repeatable delivery of AI services from experimentation through to production.• Reliability Engineering & SRE: Establish SRE practices including SLIs, SLOs, error budgets, capacity planning, resilience engineering and reliability governance. Help clients shift from reactive operations to data-driven reliability management while balancing reliability, innovation and delivery velocity.• Observability & Operational Intelligence: Define observability strategies across applications, platforms and AI workloads using metrics, logs, traces and telemetry. Establish operational insight models that support proactive decision-making and enable advanced capabilities including anomaly detection, event intelligence, noise reduction and predictive operational analytics.• AI Operations & Service Reliability: Apply reliability engineering principles to AI-enabled services, monitoring AI-specific failure modes such as data quality degradation, hallucination patterns, token consumption, agent reliability and model performance drift. Implement controls, feedback loops and automated guardrails to ensure AI services remain secure, trusted and cost-effective.• Responsible AI & Platform Governance: Design and embed AI governance frameworks, model risk controls, compliance measures and responsible AI practices that address security, regulatory and ethical requirements while supporting innovation and adoption at scale.• Automation & Operational Efficiency: Identify opportunities to reduce operational complexity and toil through engineering-led automation, intelligent workflows and AI-enhanced operational practices. Help clients improve scalability, consistency and operational performance while reducing manual effort.• Client Advisory & Transformation Leadership: Act as a trusted advisor to CIO, CTO, CDO and Engineering leadership stakeholders, shaping platform strategies, operating models, vendor selections and transformation roadmaps. Lead consulting teams and workstreams from assessment and strategy through implementation and scale-up.## YOUR PROFILEEssential Experience• Proven experience designing, delivering and operating cloud-native, platform engineering, AI platform or reliability engineering solutions within complex enterprise environments. • Strong understanding of AI platform architectures including LLMOps, MLOps, agentic AI frameworks, model lifecycle management and AI operational controls. • Experience establishing and scaling SRE practices including observability, SLIs, SLOs, error budgets, incident management and reliability engineering. • Strong understanding of AI governance, responsible AI, regulatory requirements and model risk management. • Experience implementing observability strategies using modern monitoring, telemetry and operational analytics platforms. • Demonstrated ability to advise senior stakeholders and lead multidisciplinary transformation programmes. • Experience working across hyperscaler ecosystems including Azure, AWS and Google Cloud Platform. • Proven ability to balance business outcomes, user needs, engineering constraints and operational requirements when shaping platform strategies.Desirable Experience• Experience with AI observability, model monitoring, AI governance tooling or AI platform operations. • Experience of platform engineering, DevSecOps, automation and Infrastructure-as-Code practices. • Experience developing propositions, leading bids and supporting business growth activities. • Active participation in AI, SRE, platform engineering or cloud communities.Certifications (Desirable)• Azure AI Engineer Associate • Azure Solutions Architect Expert • AWS Machine Learning Specialty • Google Professional Cloud Architect • Certified Kubernetes Administrator (CKA) • SRE Foundation or SRE Practitioner • Relevant observability platform certifications (Datadog, Dynatrace, Splunk etc.)Security Check (SC) ClearanceTo be successfully appointed to this role, it is a requirement to obtain Security Check (SC) clearance. (guidance/united-kingdom-security-vetting-applicant#levels-of-national-security-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.## WHAT YOU'LL LOVE ABOUT WORKING HERE• Client engagements give you the opportunity to work with our leadership and experienced consulting management, where you can learn from them, challenge them, and accelerate your hands-on experience, delivery capability and industry insights. • You’ll learn how we write compelling client propositions, structure, and lead high-profile transformation, and gain hands-on exposure to leading technologies, often taking an idea from a concept to a vision, to strategy and then execution. • Our consultants are formally trained from industry experts on management consulting and client delivery. • We provide a host of opportunities for learning and certification through internal and partner led programmes from AWS, Google and Microsoft. • Les Fontaines: Capgemini Invent has a unique training environment just outside of Paris, where we can immerse ourselves in thought-leadership, share knowledge and build capabilities which will help us and our clients to succeed. • We hold monthly showcases of our initiatives, sharing knowledge and showing off how the power of technology is impacting our clients. • There are many opportunities like monthly team drinks to connect face-to-face with the wider team over a few drinks in the city. There are regular leadership connect sessions that will give you a different, more relaxed setting to meet up in the office to hear from the leadership, meet colleagues and discuss the trends and insights within the market. Team away days are always a chance to connect with the team, have fun and learn something new.As part of your role you will also have the opportunity to contribute to the business and your own personal growth, through activities that form part of the following categories:Business Development – Leading/contributing to proposals, RFPs, bids, proposition development, client pitch contribution, client hosting at events. Internal Contribution – Campaign development, internal think-tanks, whitepapers, practice development (operations, recruitment, team events & activities), offering development. Learning & Development – Training to support your career development and the skills demand within the company, certifications etc.## WHAT YOU NEED TO KNOWAt Capgemini we don’t just believe in inclusion, we actively go out to making it a working reality. Driven by our core values and Inclusive Futures for All campaign, we build environments where you can bring you whole self to work. We aim to build an environment where employees can enjoy a positive work-life balance. 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. Employee wellbeing is vitally important to us as an organisation. We see a healthy and happy workforce a critical component for us to achieve our organisational ambitions. To help support wellbeing we have trained ‘Mental Health Champions’ across each of our business areas. We have also invested in wellbeing apps such as Thrive and Peppy.Whilst you will have London, Manchester or Glasgow as an office base location, you must be fully flexible in terms of assignment location, as these roles may involve periods of time away from home at short notice.We offer a remuneration package which includes flexible benefits options for you to choose to suit your own personal circumstances and a variable element dependent grade and on company and personal performance.## ABOUT CAPGEMINICapgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fuelled by its market leading capabilities in AI, cloud and data, combined with its deep industry expertise and partner ecosystem. The Group reported 2023 global revenues of €22.5 billion.## WE'RE A DISABILITY CONFIDENT EMPLOYERCapgemini is proud to be a Disability Confident Employer (Level 2) under the UK Government’s Disability Confident scheme. As part of our commitment to inclusive recruitment, we will offer an interview to all candidates who:• Declare they have a disability, and • Meet the minimum essential criteria for the role.Please opt in during the application process. #J-18808-Ljbffr

HSO is a global Business Transformation Partner with deep industry expertise and a long standing strategic relationship with Microsoft. We help organisations unlock the full potential of Microsoft Dynamics 365, Azure, Data and AI technologies to modernise operations, accelerate innovation and deliver meaningful business outcomes. In 2026, HSO achieved Microsoft Frontier Partner status, recognising our advanced capabilities across Microsoft Cloud and AI and our ability to help customers move beyond AI experimentation into secure, governed, enterprise scale production. With operations across Europe, North America and Asia, we combine industry knowledge, technical excellence and a practical, people first approach to transformation. As we continue to expand our AI capabilities, we’re building a new generation of customer facing engineering talent to help organisations turn the potential of AI and agentic technologies into real, measurable value. HSO is building a new generation of customer facing engineers who will help our customers create the operating model of the future using the latest AI, data and cloud capabilities. Forward Deployed Engineers combine consulting judgement, production software engineering, data platform expertise, AI delivery capability and business transformation skills. You will embed with strategic customers, understand their most important business challenges and rapidly turn those challenges into working, production ready AI applications, agentic workflows, automation solutions and data driven platforms. This is a hands on, outcome led role embedded within customer environments. You’ll move quickly from discovery to working software and take accountability for delivering measurable business outcomes. You’ll work across business processes, data platforms, integrations, AI, cloud and security, designing solutions that make effective use of Microsoft technologies while integrating with the customer’s wider technology estate. A strong understanding of modern enterprise data platforms is fundamental to the role. You will need to understand how data is structured, governed, integrated, transformed and made available to AI and application workloads, and how data platform decisions affect the quality, scalability and reliability of the solutions you build. Forward Deployed Engineers work closely with Deployment Strategists. The Deployment Strategist focuses on identifying where AI can create the greatest customer value and defining the desired outcome. The FDE takes ownership of how that outcome is delivered technically. From discovery through to go live, both roles work side by side. The FDE owns the technical solution and delivery, while the Deployment Strategist ensures the solution remains aligned to the business problem and measurable value. The role does not end at first deployment. You’ll stay close to solutions through hardening, adoption and handover before moving on to the next value opportunity. You’ll also turn what you learn into reusable HSO assets, reference architectures and delivery patterns that help future engagements move faster. • Embed rapidly within customer teams and develop a strong understanding of their priorities, operating processes, systems, data and constraints., • Translate ambiguous business problems and defined customer outcomes into clear technical delivery plans., • Act as the technical lead throughout an engagement, guiding customer sponsors, business users, technical teams and HSO colleagues towards successful delivery., • Build trusted relationships with senior operational and technical stakeholders, including CTO and CIO level leaders., • Take ownership for delivering solutions that create measurable customer value rather than simply completing technical tasks., • Lead technical discovery workshops to understand customer challenges and identify high value AI, data and automation opportunities., • Assess business processes, data readiness, data architecture, integration points, security requirements, technical risks and operational constraints., • Understand the customer’s existing data platform landscape and identify how data needs to be accessed, transformed, governed or modernised to support the required solution., • Apply a problem first approach to identify the smallest valuable solution that can be built and proven quickly., • Design end to end solution architectures that balance speed, scalability, maintainability, security and responsible AI., • Turn discovery into a pragmatic roadmap from prototype through to production., • Design, build, integrate, test and deploy enterprise grade solutions using modern cloud, data and AI technologies., • Develop AI powered applications, copilots, agents, automations, integrations and workflow solutions., • Build solutions that make effective use of modern enterprise data platforms and ensure AI applications are supported by reliable, governed and accessible data., • Integrate solutions with platforms such as Microsoft Fabric, Azure Data Services, Dynamics 365, Power Platform, Salesforce, SAP, ServiceNow and customer owned systems, APIs and data platforms., • Apply modern engineering practices including source control, CI/CD, automated testing, infrastructure as code, observability and secure development., • Work iteratively. Deliver value quickly, learn from real world usage and progressively harden solutions for enterprise production., • Design and implement robust agentic workflows, human in the loop processes and, where appropriate, multi agent architectures., • Apply modern techniques across retrieval, grounding, orchestration, tool integration, context engineering and evaluation., • Build evaluation frameworks and guardrails to test AI behaviour, reliability and quality before and after deployment., • Implement appropriate responsible AI, security, monitoring and governance controls., • Ensure data quality, lineage, governance and availability are considered as fundamental components of AI solution design., • Use operational data and user feedback to continuously improve solution quality and performance., • Reuse existing HSO assets, accelerators and delivery patterns wherever they improve speed and quality., • Turn lessons from customer engagements into reusable assets, reference architectures, engineering patterns and playbooks., • Contribute actively to HSO’s AI, Data, Frontier and Horizon engineering communities., • Share practical knowledge across regions, practices and delivery teams., • Support and mentor other engineers as the Forward Deployed Engineering capability grows. We’re looking for experienced engineers who combine strong technical depth with commercial awareness and the ability to operate confidently with customers. You’ll ideally bring: • Significant experience across software engineering, cloud engineering, data engineering, solution development, technical consulting or enterprise technology delivery, with senior level ownership of complex solutions., • Strong hands on experience building and operating production grade solutions on at least one major cloud platform., • Strong understanding and practical experience of modern enterprise data platforms, including data architecture, integration, transformation, governance and the role data plays in enabling AI and application workloads., • Experience with Microsoft data technologies such as Microsoft Fabric, Azure Data Factory, Azure Synapse, Azure Databricks, OneLake or comparable enterprise data platforms would be highly valuable., • Excellent coding capability in a modern language such as Python, C#, TypeScript, JavaScript or Java, with a track record of producing maintainable, production quality software., • Practical experience designing, building and deploying AI powered applications using platforms such as Azure AI, OpenAI, AWS Bedrock, Google Vertex AI, Anthropic or comparable technologies., • Hands on experience with large language models, prompting, retrieval augmented generation, evaluation and agent orchestration., • Strong understanding of APIs, integrations, data platforms and modern distributed application architectures., • Experience with modern engineering and DevOps practices including CI/CD, automated testing, source control and infrastructure as code., • Strong customer facing experience in consulting, transformation, delivery or technical leadership., • The ability to work effectively where requirements are incomplete, priorities evolve quickly and the right answer is not immediately obvious., • The judgement to balance engineering excellence with speed, practicality and customer value. You do not need to be an expert in every technology we use. More important is the ability to learn quickly, understand unfamiliar environments and apply strong engineering and data fundamentals to new problems. • Certifications across Microsoft Azure, Microsoft Fabric, AWS, Google Cloud or leading AI platforms., • Experience working with enterprise platforms such as Dynamics 365, Power Platform, Salesforce, SAP, ServiceNow or similar., • Experience implementing responsible AI, AI governance, evaluation frameworks or model monitoring in enterprise environments., • Experience designing or delivering modern data platforms that support analytics, operational applications or AI workloads., • Experience across industries such as Manufacturing, Retail, Financial Services, Public Sector or Professional Services., • A track record of turning successful customer solutions into reusable patterns or accelerators., • Experience leading small, highly capable engineering teams from discovery through to production. AI is changing how organisations operate, but most businesses do not need more demonstrations or isolated pilots. They need people who can identify where AI will genuinely create value, ensure the underlying data foundations are fit for purpose and then build something that works in production. That is what this role is designed to do. As a Forward Deployed Engineer at HSO, you’ll work directly with strategic customers at the point where emerging AI, data and cloud capabilities meet real business problems. You’ll have the opportunity to: • Build real AI products and solutions rather than proof of concepts that never reach production., • Work across AI, cloud and data platforms to solve complex customer problems end to end., • Work directly with senior customer stakeholders and see the impact of what you build., • Operate at the forefront of Microsoft’s evolving AI and Data ecosystem as part of a Microsoft Frontier Partner., • Work across technologies, industries and business problems rather than being confined to a single product or platform., • Help shape a new engineering capability within HSO rather than stepping into a narrowly defined existing model., • Turn successful customer work into reusable technology and approaches that can scale across HSO globally. You’ll join a senior, practical and customer focused team that values ownership, curiosity, engineering quality, speed and measurable impact. We offer a competitive base salary alongside HSO’s standard employee benefits. The role will also include a performance related element designed to recognise both individual contribution and the value created through successful customer delivery. Further details on the compensation structure and performance measures will be discussed during the recruitment process. #J-18808-Ljbffr

We are seeking a passionate Security Specialist with hands-on experience in working with all aspects of Azure, M365, and preferably Google Cloud Platforms (GCP). Aside from infrastructure, the candidate should have experience and working knowledge of SIEM and vulnerability management platforms. The role will cover elements of cyber incident response, so a background in supporting a wider incident response function is a necessity. • Assess the security configurations of Azure IaaS and Google Cloud environments, including infrastructure., • Provide recommendations based on industry best practices and emerging security threats., • The ability to provide Cyber Incident Responders subject matter expertise in Cloud security when required., • Evaluate and optimise the use of Azure Defender and other security monitoring tools in Azure and Google Cloud., • Offer guidance on improving threat detection, monitoring, and response for cloud-based resources., • Assess and improve Conditional Access policies and identity management strategies, enforcing zero trust and least privilege principles., • Provide expert advice on configuring and managing identity and access management (IAM) solutions for secure cloud environments., • Ensure cloud environments meet regulatory and internal governance requirements., • Conduct periodic security audits and risk assessments, offering actionable recommendations., • Day to day maintenance of various security tools including SIEM and vulnerability scanning toolsets., • Manage upgrades, configuration changes and feature enhancements., • Provide support on all types of cyber incident response as part of the wider cyber response function., • Use tooling such as SIEM, EDR, IdP, • Experience in an IT engineering capacity., • Hands-on experience administering Azure security environments., • Strong experience managing compute, network, and storage resources across cloud and hybrid environments., • Extensive knowledge of Azure services, Microsoft Defender, Conditional Access, and Google Cloud security tools., • Strong understanding of SIEM platforms, vulnerability management tools, and supporting infrastructure., • Broad knowledge of core IT domains, including infrastructure, software development, databases, cloud platforms, and identity and access management (IAM)., • Strong engineering background with expertise in Windows Server, endpoint platforms, macOS, and Linux., • Strong knowledge of information security frameworks, including NIST and relevant NIST 800-series publications., • Hands-on experience with SIEM technologies, including data ingestion, monitoring, alerting, and integration with security operations processes., • Proficiency in Terraform and infrastructure-as-code (IaC) best practices., • Excellent written and verbal communication skills, with the ability to explain technical concepts to both technical and non-technical audiences., • Relevant cloud and security certifications, such as:, • Microsoft Certified: Azure Security Engineer Associate, • Google Professional Cloud Security Engineer, • Other equivalent cloud security certifications Formed in 2014, the Information Security Group (ISG) focuses on delivering operational and strategic information / cyber security and business continuity. The group is independent of IT. Operationally the Information Security Committee and Conduct and Risk Committee oversee the group. The Chief Global Information Security Officer reports into the General Counsel and Global Risk Partner. The ISG department is based mainly in the firm’s London and Manchester offices. Freshfields is an equal opportunities employer and all applications received by the firm will be considered on the basis of their merit alone. We welcome applications from all suitably qualified individuals regardless of background. All offers of employment will be conditional on the candidate having/securing the right to work in the UK in the role in question and providing the firm with evidence of that right (as required by the Immigration, Asylum and Nationality Act 2006) prior to employment commencing. Freshfields is a Ban the Box employer. We ask applicants to disclose criminal convictions only if and when a conditional job offer is made. A conviction does not automatically lead to withdrawal of the offer: we make decisions on a case‑by‑case basis and take a number of relevant factors into account (e.g. the role you are applying for and the circumstances of the offence). You would have the opportunity to discuss the matter with us before we make a decision. #J-18808-Ljbffr

Tata Consultancy Services UK&I is seeking a Lead AI Engineer in Manchester to design and deliver AI/ML workflows and end-to-end projects. You will work with platforms like Gemini, Azure OpenAI, and Cloud Vision, developing solutions using Python and LangChain within cross-functional teams. The role requires strong Python skills, experience with AI/ML frameworks, and a solid grasp of data structures, algorithms, and statistical modelling. #J-18808-Ljbffr

Salary: £? - ? per year • Commercial experience building Generative AI solutions., • Strong hands-on experience with RAG (Retrieval-Augmented Generation)., • Experience developing AI Agents or Agentic AI applications., • Strong Python development skills., • Strong SQL skills., • Experience integrating applications using REST APIs., • Proven prompt engineering experience., • Experience deploying AI solutions into production environments., • Excellent stakeholder management and communication skills., • Knowledge of Knowledge Graphs., • Experience with LangChain and/or LangGraph., • Experience with Vector Databases and Embeddings., • Experience with Multi-Agent Systems., • Experience with Azure, AWS or GCP cloud platforms., • Experience working within Banking, Financial Services, FinTech, or Consulting., • Design and develop AI-powered applications using Generative AI and Large Language Models (LLMs)., • Build and optimise Retrieval-Augmented Generation (RAG) solutions., • Develop AI Agents and Agentic workflows to automate business processes., • Create effective prompts and implement prompt engineering best practices., • Integrate AI services with enterprise systems via REST APIs., • Develop scalable solutions using Python and SQL., • Test, evaluate, and improve AI model performance and reliability., • Work closely with engineering, data, and business teams to deliver innovative AI solutions., • Agentic AI, • AI, • AI Agents, • AWS, • Azure, • Cloud, • GCP, • LLM, • Python, • RAG, • REST, • SQL We are hiring an experienced AI Engineer to join a growing team delivering cutting-edge Generative AI solutions within a large-scale enterprise environment. This contract role runs initially until Dec 2026 and offers a day rate of up to £800 inside IR35 via umbrella. We work in a hybrid model with 2 days per week in either Manchester, Leeds, or Edinburgh preferred, with Birmingham and Bristol also considered. This is an opportunity to work on high-profile AI transformation programmes, design and build enterprise-scale AI solutions, gain exposure to the latest GenAI, Agentic AI and LLM technologies, and help influence architecture, engineering standards, and AI strategy. last updated 36 week of 2026 #J-18808-Ljbffr

We are a Global Recruitment specialist that provides support to the clients across EMEA, APAC, US and Canada. We have an excellent job opportunity for you. We are looking for a Software Engineer with expertise in Java, Python, Spring Boot, and Client Database, preferred AI ecosystem technologies. The ideal candidate will be responsible for developing and maintaining scalable enterprise applications while leveraging AI/ML technologies to drive innovation and automation. Develop, and maintain enterprise-grade applications using Java, Python, and Spring Boot. Build and optimize RESTful APIs and microservices architectures. Develop database solutions using Client SQL, PL/SQL, Stored Procedures, Functions, and Performance Tuning. Integrate AI/ML models into business applications and workflows. Work with modern AI ecosystems including LLMs, Generative AI, RAG frameworks, LangChain, Vector Databases, and AI APIs. Collaborate with cross-functional teams to gather requirements and deliver high-quality solutions. Participate in code reviews, unit testing, debugging, and performance optimization. Ensure adherence to security, scalability, and software engineering best practices. Support application deployment through CI/CD pipelines and cloud platforms. Strong experience in Java (8/11/17+) Hands-on development experience with Spring Boot, Spring MVC, Spring Data JPA, Hibernate, and Microservices Strong expertise in Client Database, SQL, PL/SQL, Query Optimization, and Performance Tuning. Experience with REST APIs, JSON, and web services integration. Hands-on knowledge of Git, Maven, Jenkins, Docker, and Kubernetes. Understanding of Agile/Scrum methodologies. Experience in Generative AI and Large Language Models (LLMs). Knowledge of OpenAI, Azure OpenAI, Hugging Face, LangChain, LlamaIndex, or similar frameworks. Experience with Vector Databases such as Pinecone, FAISS, ChromaDB, or Weaviate. Understanding of Prompt Engineering, RAG (Retrieval-Augmented Generation), AI Agents, and Model Integration. Experience with AI-powered application development and API integrations. Experience with Azure, AWS, or GCP Cloud Platforms. Knowledge of Kafka, Event-Driven Architecture, and Messaging Systems. Familiarity with DevOps practices and Infrastructure as Code. Exposure to Machine Learning frameworks and MLOps concepts #J-18808-Ljbffr

Lead Data Engineer role central to developing Digital Services function Hybrid role with two office days per week Responsibilities include designing and enhancing data pipelines and data governance Requires experience in data integration, scripting, and working with cloud-based data ecosystems Salary and commitment to diversity included As part of the development of our Digital Services function, we are strengthening internal digital capability within the Data Team. These roles are central to building sustainable in-house expertise that supports the design, development, and delivery of digital solutions across the transport network. A key focus of this campaign is creating new opportunities, and as a result, we are recruiting Lead Data Engineers. This is a pivotal role within the organisation. In this role, you will work as part of a collaborative team, partnering with stakeholders across the business to understand user needs and deliver data products that create real organisational value. Alongside developing new capabilities, you will help ensure our existing data services remain reliable, performant and fit for purpose. This is an opportunity to shape how data is used across one of the UK's largest and most complex transport organisations, contributing to safer, smoother and more reliable journeys for road users. This is a hybrid role, requiring two days per week in the office, based at any National Highways office location. • Deliver the Data as a Service (DaaS) roadmap by onboarding enterprise data, improving trust in data and expanding the organisation's analytical and reporting capabilities., • Design, build and enhance data pipelines, integrations and reusable data assets that bring together transactional, asset, traffic, event and business data within the DaaS platform., • Collaborate closely with stakeholders at all levels across the organisation to understand analytical and reporting needs, develop user stories and deliver trusted data products that support operational and strategic decision-making. Enable consumers through enterprise solutions such as: Databricks, Power BI and ThoughtSpot., • Embed data governance, quality and assurance across the full data lifecycle, ensuring compliance with organisational policy, responsible use of AI and metadata management. Governance is enabled through Unity Catalog., • Support the operation and continuous improvement of production data pipelines, data products and platform capabilities, improving reliability, performance, cost efficiency and user experience., • Promote data engineering best practice, reuse and consistent engineering approaches, helping teams make effective use of enterprise data capabilities across the organisation., • Experience building and deploying data pipelines and data integration solutions within a collaborative delivery environment, applying engineering standards, automation, testing and governance practices throughout the development lifecycle., • Experience analysing source systems and complex datasets, bringing together data from multiple sources and applying data modelling or related design techniques to create reusable data assets that support analytics, reporting and business outcomes., • Experience working with scripting Command-Line Interface (CLI), Python and SQL with enterprise data platforms and cloud-based data ecosystems (Azure Cloud, Databricks, Azure Data Factory, Unity Catalog preferred)., • Experience communicating effectively with technical and non-technical stakeholders, managing expectations, taking ownership of delivery outcomes and influencing decisions, improvements or ways of working through technical expertise and collaboration., • Experience operating and improving production data pipelines and data products, including monitoring, diagnosing and resolving incidents, root cause analysis, performance and cost optimisation and service reliability. Here at National Highways, we manage and improve England's motorways and major A roads, helping our customers have safer, smoother and more reliable journeys. Our priorities are safety, customers and delivery, and at the core of this, are our values of passion, integrity, safety, teamwork and ownership. The Digital Services Directorate is helping to reshape the way National Highways operates by delivering digital, data, and technology services across all areas, from frontline to back office, in a modern and efficient manner. Our vision is to develop integrated information and technology that empowers our colleagues and provides real-time information to our customers, as well as integrating with intelligent vehicle and transport systems as they evolve, to enhance journey safety and reliability. External candidates will be offered a starting salary at the lower end of the pay scale, while current employees will be appointed in accordance with our established pay policy. We are committed to creating a diverse environment and welcome applicants from all backgrounds. #J-18808-Ljbffr

How much of your week do you still spend building? This position needs someone who can make the architecture decisions, get into the code and help three engineers deliver better work. You’ll own an established Azure platform and decide how it develops. Reliability, performance and cloud spend sit with you, alongside a clear brief to make operations more proactive: spot problems earlier, automate recurring fixes and put AI to practical use. There’s a team of two Platform Engineers and a DevOps Engineer. They need someone with the technical depth to work through difficult problems alongside them and give the platform a clear direction. What you’ll be doing • Own Azure architecture and build the infrastructure and automation behind it., • Get proper visibility across API health, platform performance and cloud costs, then act on what the data tells you., • Build AI-assisted incident detection, triage and automated responses, with clear escalation when someone needs to step in., • Improve Azure spend through better design, right-sizing and sensible cost controls., • Pair with engineers, review designs and stay close to delivery. Day-to-day IT support is outsourced. You’ll hold the vendor to agreed standards and handle technical exceptions. What we need from you • Deep Azure experience, with the judgement to design, build and operate production infrastructure., • Strong hands-on IaC, automation and secure CI/CD experience., • A track record of diagnosing performance issues and improving cloud costs., • Technical leadership that makes the engineers around you better., • Practical ideas for using AI in platform operations, with an understanding of where automation needs limits. The environment includes Azure, Entra ID, managed identities, Key Vault and Azure DevOps. Experience with AIOps or incident automation would be useful. What you get • Ownership of platform architecture, technical priorities and cost improvements., • Three engineers to lead, with hands-on delivery central to your week., • The scope to take AI-led operations from an idea into production. #J-18808-Ljbffr