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Practice Group / Department: \n EMEA IT Applications \n Job Description \n \n Norton Rose Fulbright is a global law firm with more than 3,000 lawyers advising clients across locations in the United States, Europe, Canada, Latin America, Asia, Australia, Africa and the Middle East. We provide a full scope of legal services to the world’s preeminent corporations and financial institutions. \n Our vision is to be a world class business, profitable, ambitious, cooperative and considerate, supporting our clients and people through our global business principles of Quality, Unity and Integrity. \n With over 7,000 employees worldwide, our culture is the thread that connects us. Our strategy and culture are closed connected – defined by shared ambition, global collaboration and a one-team mindset. We believe pioneering work happens when people are empowered to think beyond boundaries, explore new opportunities and grow through diverse experiences. Alongside the right skills and experience, we are looking for people who are innovative, commercially minded, and motivated by the impact of the work they do – ready to share in our ambition and help shape what comes next. \n \n Because while individuals can do well, together we achieve something extraordinary. \n \n The Role \n We have embarked on an exciting programme of strategic importance to the firm. As Data Platform Owner, you will play a crucial role in managing the platform that forms the foundation for the data products the firm is building to support the business across the EMEA Region. The data platform manager will be the focal point for enabling the broader and deeper use of our data to provide insights to the firm. The role will build and will manage the data platform team to execute on the firm’s strategy to use data to drive strategic decision making. \n The role provides hands-on delivery and operational support for our data platform, to help ensure that we have a platform that remains performant and responsive to business needs in alignment with data governance standards. \n The Team \n The role reports to the Senior Integrations, Development and Data manager in the Business Enablement team. The role has key relationships with data stewards, data product owners and IT stakeholders. The Business Enablement team ensures that the firm has the tried and tested tools lawyers need to do their jobs efficiently and effectively. \n Key Responsibilities \n\n • Willing to get hands-on managing the platform and getting involved in service delivery as required by the business.\n, • Own the end-to-end data platform roadmap, aligning analytics and data science capabilities to firm, practice group and client priorities\n, • Accountable for the architecture and lifecycle of the data platform, covering ingestion, storage, analytics and machine learning\n, • Enable data science and advanced analytics use cases including predictive models, experimentation, AI and GenAI within a governed environment\n, • Ensure the platform supports secure access to structured and unstructured data, including client, matter, financial and document metadata\n, • Define and enforce data governance, quality and compliance, working closely with Risk, Privacy and Information Security teams\n, • Act as the primary business and leadership for the data platform, collaborating with business leaders to translate legal and operational needs into data capabilities or products\n, • Oversee platform operability, scalability and cost management, working with engineering and infrastructure teams\n, • Lead vendor management and capability development, ensuring tools, skills and standards support responsible and scalable data science adoption\n\n Key Skills and Experience \n\n • Own end-to-end EMEAPAC data platform across design, delivery and steady-state operation\n, • Strong understanding of Databricks and Fabric architecture, including Lakehouse patterns\n, • Ability to oversee ingestion, transformation and reporting layers across enterprise data flows\n, • Working knowledge of Databricks (Delta Lake, pipelines, orchestration) and Fabric (Power BI, semantic models)\n, • Experience in operating appropriate governance over data quality, lineage, access and cross-border data controls\n, • Operate within structured service wrap, including L1–L4 support and formal service acceptance\n, • Ability to monitor platform performance, reliability and adoption in live operation\n, • Strong understanding of security, RBAC and integration with Azure AD and enterprise controls\n, • Awareness of cost, performance and scalability trade-offs across compute and storage\n, • Familiarity with DevOps practices including CI/CD, environment management and controlled releases\n\n #LI-JC1 #LI-Hybrid \n Diversity, Equity and Inclusion \n To attract the best people, we strive to create a diverse and inclusive environment where everyone can bring their whole selves to work, have a sense of belonging, and realize their full career potential. \n Our new enabled work model allows our people to have more flexibility in the way they choose to work from both the office and a remote location, while continuing to deliver the highest standards of service. We offer a range of family friendly and inclusive employment policies and provide access to programmes and services aimed at nurturing our people’s health and overall wellbeing. Find more about Diversity, Equity and Inclusion here. \n We are proud to be an equal opportunities employer and encourage applications from individuals who can complement our existing teams. We strive to create an inclusive and accessible recruitment process for all candidates. If you require any tailored adjustments or accommodations, please let us know here.

\n Apache Spark Python AWS Cloud Data Pipelines \n A hands-on data engineering role within a large-scale cloud data programme, responsible for building, maintaining, and troubleshooting data pipelines using Apache Spark, PySpark, Apache Airflow, and a broad suite of AWS services. You will apply strong analytical and engineering skills to deliver trusted, well-governed data assets in a modern, cloud-native environment. \n About Scrumconnect \n Scrumconnect is a leading UK technology consultancy delivering digital transformation across public and private sectors, contributing to over 20% of the UK's major citizen-facing public services. We specialise in cloud engineering, data platforms, and agile delivery, helping clients build scalable, secure, and user-centred digital solutions that create real impact. \n Active SC clearance is a mandatory, non-negotiable requirement. Candidates must hold current, in-date Security Check (SC) clearance at the time of application. Sponsorship is not available. Applications without active SC clearance will not be considered. \n Working arrangement: \n This role is hybrid. Candidates must be willing and able to travel to the Newcastle office three days per week. Remaining days may be worked remotely from anywhere in the UK. \n About the role \n You will work as a Data Engineer on a complex, cloud-based data programme - designing, building, and maintaining data pipelines that process large volumes of data across a modern AWS-native stack. Using Apache Spark and PySpark for distributed data processing, Apache Airflow for orchestration, and a range of AWS services for storage, compute, and analytics, you will help deliver reliable, well-governed data assets to downstream users. \n You will apply strong data analysis skills to identify root causes of data issues, work with dimensional data models and slowly changing dimensions, and implement infrastructure as code using Terraform. Familiarity with engineering best practices and the ability to translate customer expectations into applied technical functionality are key to success in this role. \n Key responsibilitiesData pipeline development \n Build and maintain scalable data pipelines using Apache Spark and PySpark, processing and transforming large datasets across distributed cloud infrastructure. \n Workflow orchestration \n Configure and manage Apache Airflow DAGs for task orchestration, ensuring reliable scheduling, monitoring, and execution of data processing workflows. \n Root cause analysis \n Perform data analysis to identify and resolve root causes of pipeline failures and data quality issues - including reviewing EMR output logs and CloudWatch metrics. \n Data modelling \n Apply understanding of dimensional data models and slowly changing dimensions (SCD) to design and maintain well-structured, analytically trusted data assets. \n Infrastructure as code \n Provision and manage cloud infrastructure using Terraform. Containerise solutions using Docker and manage deployments through GitLab CI/CD pipelines and release tagging. \n Security & encryption \n Apply understanding of both Server Side and client-side encryption patterns within AWS. Work within IAM policies and data governance standards appropriate to a regulated government environment. \n Technical skills requiredLanguages & analytics \n\n • Python - primary language for pipeline development and data processing\n, • SQL - used for querying, transformation, and validation across data stores\n, • PySpark - for distributed data processing using Apache Spark on AWS EMR\n, • Familiarity with basic data structures for constructing robust, scalable solutions\n\n Data processing & orchestration \n\n • Apache Spark - understanding of distributed data processing architecture and execution\n, • Apache Airflow - configuring DAGs and managing task orchestration at scale\n, • Jupyter Notebooks - for exploratory data analysis and pipeline prototyping\n, • Understanding of dimensional data models and slowly changing dimensions (SCD Types 1, 2, 3)\n, • Data analysis skills to identify root cause of issues within pipelines and data assets\n\n AWS services \n\n • Amazon EMR - running Spark workloads and reviewing output logs\n, • Amazon Athena - ad hoc querying of data in S3\n, • Amazon Textract and Comprehend - familiarity with AI/ML document extraction and NLP services\n, • AWS S3, IAM, CloudWatch, EC2, ECR - core platform services used day-to-day\n, • AWS console proficiency - navigating, configuring, and monitoring services\n, • Understanding of Server Side and client-side encryption within AWS\n\n Infrastructure, DevOps & delivery \n\n • Terraform - Infrastructure as Code for provisioning and managing AWS environments\n, • Docker - containerisation of data engineering solutions\n, • GitLab - source code management, CI/CD pipeline configuration, release tagging, and component versioning\n, • Familiarity with engineering best practices\n, • Ability to translate customer expectations into applied, functional technical solutions\n\n Technology stack at a glance \n PythonPySparkSQLApache SparkApache AirflowJupyter NotebooksDimensional modelling/SCDAWS EMRAmazon AthenaAWS S3AWS IAMAWS CloudWatchAWS EC2/ECRAmazon TextractAmazon ComprehendTerraformDockerGitLab CI/CDGitLab Tags

\n About Scrumconnect Consulting \n Scrumconnect Consulting is a multi-award-winning digital consultancy, recognised for delivering impactful and innovative technology solutions across UK government departments. Our work has positively influenced the lives of over 40 million UK citizens. We are passionate about user-centred design, agile delivery, and building digital services that make a real difference - and we're now scaling that expertise into large, high-stakes AI adoption programmes across the public sector. \n Overview \n We're looking for a Lead AI Engineer to be the hands-on technical builder at the core of a large-scale AI Operating Model programme for a central government department. Where the Lead Technical Architect sets direction, you turn it into working, production-grade systems - semantic search, RAG pipelines, and broader generative AI capability - integrated into complex Legacy and multi-cloud environments handling high-volume, sensitive public sector data. \n You'll work inside a collaborative "Rainbow Team" alongside civil servants and the wider delivery team, staying close to the code while also mentoring engineers and helping build the internal capability the department needs to eventually run these systems without long-term reliance on external suppliers. \n Key Responsibilities \n Hands-On Build & Delivery \n Design, build, and ship production AI components - RAG pipelines, retrieval and embedding infrastructure, orchestration logic, and integration layers - writing high-quality, tested, maintainable code and staying close to implementation rather than delegating it away. \n Technical Leadership Within the Squad \n Lead the engineering practice within your delivery team: set coding standards, review designs and pull requests, unblock technically complex problems, and mentor other engineers day to day. \n Responsible AI in Practice \n Implement the guardrails the Architect designs - bias mitigation checks, evaluation harnesses, human-in-the-loop review points - so that Responsible AI principles (ATRS alignment, NCSC "Secure by Design, " meaningful human control) are enforced in the running system, not just on paper. \n Reliability, Security & Observability \n Build AI services to be secure-by-default and observable in production: logging, monitoring, alerting, and rollback paths appropriate for sensitive public-sector data and high-availability requirements. \n Knowledge Transfer & Capability Uplift \n Work within the OKUA (Ownership, Knowledge, Understanding, Awareness) framework and "Docs-as-Code" practices to pair with and upskill internal government engineers, so capability genuinely transfers rather than staying locked in the consultancy team. \n Efficient, Sustainable Engineering \n Favour low-modality, resource-efficient designs where they meet the need - right-sizing models and infrastructure rather than defaulting to the largest/most expensive option - in line with the programme's Green AI and Net Zero commitments. \n Required Skills & Experience \n Loosely mapped to the Government Digital and Data (DDaT) framework, at Lead Engineer level: \n • Coding and Scripting (Expert) - writing production-grade, well-tested code; setting standards for others; comfortable owning components end-to-end. \n • Systems Design (Practitioner) - designing components that integrate cleanly into a wider, architect-defined system; understanding trade-offs across the stack. \n • Data Engineering (Practitioner) - building reliable pipelines to ingest, clean, and prepare data (including unstructured/Legacy sources) for AI consumption. \n • DevOps/Continuous Delivery (Practitioner) - CI/CD pipelines, infrastructure-as-code, and automated deployment for AI workloads specifically (not just conventional web services). \n • Testing & Evaluation (Practitioner) - beyond conventional unit/integration testing, building evaluation harnesses for AI system quality: retrieval accuracy, hallucination rate, bias/fairness checks. \n • Problem Solving (Practitioner) - diagnosing and resolving complex, ambiguous technical issues under production pressure. \n • Agile Working (Practitioner) - delivering iteratively within a blended, multidisciplinary team including civil servants. \n Given the scale of this programme, direct hands-on depth across the AI engineering stack is essential: \n • Strong general-purpose programming (most commonly Python) applied to AI/ML systems \n • Semantic search, vector/embedding infrastructure, and RAG pipeline construction \n • LLM orchestration and agentic frameworks (eg LangChain/LlamaIndex-style tooling, multi-agent patterns) \n • Prompt engineering and systematic evaluation/guardrail tooling (hallucination detection, safety testing) \n • LLMOps/MLOps - model versioning, deployment, monitoring, and rollback for AI services in production \n • Cloud-native engineering across major providers (AWS, Azure, or GCP), including their AI/ML tooling \n • Containerisation and infrastructure-as-code for repeatable, auditable deployments \n • Secure-by-design engineering appropriate to sensitive public-sector data \n Desirable Experience \n • AWS/Azure/GCP certifications (associate or professional level) \n • Prior delivery of AI or digital services within UK central government or wider public sector \n • Experience fine-tuning or adapting open-source/foundation models for a specific domain \n • Open-source contributions or active engagement in AI/ML engineering communities \n • Experience designing for sustainability/Green IT commitments \n • The technological capabilities can span a wide range of AI and automation tools, including Virtual Assistants, Robotic Process Automation (RPA), Computer Vision, Natural Language Processing (NLP), Machine Learning, Deep Learning, Generative AI, Frontier LLMs, and Predictive AI. A strong candidate would have experience/exposure to nuances of these tools/technologies. \n Location and Working Pattern \n Hybrid, based from Newcastle upon Tyne, with on-site attendance required for workshops, knowledge-transfer sessions, and onboarding. All production system and data access must be performed solely from within the UK. \n How We Work \n Our values: \n • Collaboration - we are stronger as a team than as individuals; we tackle problems and celebrate wins together. \n • Create Value Early - we find the quickest route from idea to product, because our clients rely on us to do what's best. \n • Integrity - teamwork requires trust; we can always be relied upon to uphold the highest standards. \n • Commitment - no matter what, no matter how, we give our 100% to keeping our promises and achieving our goals. \n • Diversity and Inclusion - we believe diversity drives innovation and better outcomes, and we're committed to an inclusive environment where every individual is valued, respected, and supported. We welcome applications from candidates of all backgrounds, including women, people with disabilities, and diverse communities, as well as those seeking flexible working arrangements. \n As a Disability Confident Level 1 employer, we provide reasonable adjustments throughout recruitment and employment to ensure equal opportunity for all. \n How to Apply \n Please submit your CV. Shortlisted candidates will be invited to interview. This role requires BPSS (Baseline Personnel Security Standard) clearance - please flag in your application if you already hold clearance.

Role: DevOps EngineerLocation: Newcastle (Hybrid)Type: ContractDuration: 12 monthsRole OverviewWe are seeking an experienced DevOps Engineer to join our team in Newcastle on a 12-month contract. You will play a key role in building and maintaining development environments, implementing automation, and supporting continuous integration and delivery pipelines.You will work closely with development and testing teams to ensure efficient, reliable, and scalable software delivery.Key Responsibilities\n\n • Collaborate with DevOps, development, and client teams to deliver robust environments and tools.\n, • Set up, configure, and maintain tools such as GitLab, Jenkins, SonarQube, and testing platforms.\n, • Design and implement CI/CD pipelines to enable continuous integration, testing, and delivery.\n, • Automate software development processes to improve efficiency and reduce manual effort.\n, • Develop and manage serverless integrations between systems using APIs.\n, • Support infrastructure provisioning and configuration using automation tools.\n, • Ensure high levels of system performance, security, and reliability.\nRequired Skills & Experience\n\n, • Hands-on experience with public or private cloud platforms (e.g., AWS, Azure, GCP).\n, • Strong understanding of CI/CD concepts with practical experience using tools such as GitLab CI, Jenkins, or AWS Code Build.\n, • Experience with Infrastructure as Code (IaC) tools such as:\n, • Terraform\n, • AWS CloudFormation / CDK\n, • Expertise in configuration management tools:\n, • Ansible\n, • Puppet\n, • Chef\n, • Experience with containerization and orchestration:\n, • Docker / Docker Compose\n, • Kubernetes / OpenShift\n, • Working knowledge of Agile and Lean methodologies.\n, • Proficiency in at least one scripting language:\n, • Python\n, • Bash\n, • PowerShell\n, • Node.js / TypeScript\nKey Attributes\n\n, • Strong problem-solving and troubleshooting skills\n, • Ability to work in a fast-paced, collaborative environment\n, • Passion for automation and continuous improvement\n, • Excellent communication and teamwork skills\nAnyone who is willing to relocate and SC eligible can apply.

DevOps Engineer – Defence & Security \n Newcastle \n Requires SC Clearance or Eligible for SC Clearance \n \n The Opportunity \n Join a high-performing engineering team delivering secure, scalable infrastructure and platforms for mission-critical Defence & Security programmes. This role is ideal for DevOps engineers who thrive in complex environments and want to work with modern cloud, automation, and container technologies. \n \n What You’ll Do \n\n • Build, automate, and maintain CI/CD pipelines\n, • Develop infrastructure using Infrastructure as Code (Terraform, Ansible, Packer)\n, • Manage containerised applications using Docker and Kubernetes\n, • Implement monitoring, logging, and observability solutions (ELK, Grafana)\n, • Support cloud environments across AWS, Azure, or GCP\n, • Ensure secure, reliable deployments with strong DevSecOps practices\n, • Work across Windows & Linux environments, including virtualisation (VMware)\n, • Manage artefacts, code quality, and release processes\n\n \n What You’ll Need \n\n • Experience with scripting or development (Python, PowerShell, C#, Java, or C++)\n, • Strong CI/CD experience (Jenkins, GitHub Actions, TeamCity or similar)\n, • Knowledge of containerisation and orchestration tools\n, • Experience with cloud platforms (AWS, Azure, or GCP)\n, • Understanding of monitoring, logging, and system performance\n, • Familiarity with databases (e.g. SQL Server) and job scheduling tools\n, • Experience with Atlassian tools (e.g. Jira, Confluence)\n\n \n Bonus Skills \n\n • Experience with Artifactory, SonarQube\n, • VMware (vSphere), SAN environments\n, • Security best practices (secrets management, vulnerability scanning)\n\n \n Security Requirement \n SC clearance (or willingness/eligibility to obtain) is required.

About Scrumconnect Consulting Scrumconnect Consulting is a multi-award-winning digital consultancy, recognised for delivering impactful and innovative technology solutions across UK government departments. Our work has positively influenced the lives of over 40 million UK citizens. About Scrumconnect Consulting is a multi-award-winning digital consultancy, recognised for delivering impactful and innovative technology solutions across UK government departments. Our work has positively influenced the lives of over 40 million UK citizens. We're looking for an MLOps Engineer to build the operational backbone that lets models move safely and reliably from experimentation into production, at scale, across a central government department's multi-cloud, legacy-integrated environment. Where the MLEngineer trains models and the AI Engineer builds features on top of them, you own the pipeline, infrastructure, and monitoring that keeps everything running in production. You'll work inside a collaborative "Rainbow Team" alongside civil servants, translating the Architect's platform decisions into reproducible, auditable infrastructure. • ML/AI Pipeline Engineering Design CI/CD pipelines specific to ML/AI workloads, covering data versioning, training, testing, packaging, and deployment., • Production Reliability Implement monitoring, logging, alerting, and automated rollback for AI services in production, tuned for the availability and sensitivity requirements of public-sector systems., • Infrastructure-as-Code Build reproducible, auditable infrastructure for AI workloads — compute, storage, networking — using IaC tooling appropriate to the department's multi-cloud environment., • Model Governance in Operation Implement model registries, versioning, and lineage tracking so every production model can be traced back to its training data, code, and evaluation results — directly supporting the programme's ATRS transparency obligations., • Cost & Sustainability Optimisation Right-size infrastructure and monitor resource usage to keep the platform's footprint down, in line with the programme's Green AI and Net Zero Commitments., • Strong DevOps background extended into ML/AI-specific tooling (model registries, feature stores, experiment tracking), • Infrastructure-as-code and CI/CD pipeline design and build experience, • Experience with observability and monitoring for production systems at scale, • Understanding of containerisation and orchestration for ML workloads, • Comfortable working across multi-cloud, legacy-integrated environments, • Secure-by-design engineering practices appropriate to sensitive public-sector data, • AWS / Azure / GCP infrastructure certifications, • Experience building MLOps platforms within regulated or public-sector environments, • Familiarity with model governance/traceability requirements such as ATRS, • Prior delivery within UK central government or the wider public sector Hybrid, based from Newcastle upon Tyne, with on-site attendance required for workshops, knowledge-transfer sessions, and onboarding. All production system and data access must be performed solely from within the UK. Our values: Collaboration, Create Value Early, Integrity, Commitment, and Diversity & Inclusion. We welcome applications from candidates of all backgrounds, including women, people with disabilities, and diverse communities, as well as those seeking flexible working arrangements. As a Disability Confident Level 1 employer, we provide reasonable adjustments throughout recruitment and employment. Eligibility This role requires BPSS clearance. #J-18808-Ljbffr

For over 30 years, Version 1 has been a leading Oracle partner specialising in Enterprise Applications, delivering ERP, HCM and EPM solutions that enable organisations to transform and modernise their core systems. Combining deep domain expertise with end-to-end delivery and managed services, we support some of the UK and Ireland’s largest organisations in driving business value through Oracle technology. • Top-tier Oracle partner across Database, Platform, ERP, and Managed Services, • 37 UKOUG awards over the last 3 years, • 13 awards - UK Oracle User Group (UKOUG) Community Awards 2026 (4 Gold, 5 Silver, 4 Bronze), • Certified Great Place to Work, • Recognised as a leader in AI & digital transformation consulting with global delivery footprint With 3,800+ people and revenues exceeding €347m/£302m, Version 1 is a market leader in Oracle, Microsoft, and AWS consulting services – and one of the fastest-growing digital consultancies in Europe. Ready to Lead the Future of Oracle SCM Cloud? Join Version 1. Are you a Senior Oracle SCM Cloud Functional Consultant looking for more than just your next project? Do you want to lead high-impact implementations, work with cutting-edge Oracle Cloud solutions, and be part of a company that genuinely puts its people first? Welcome to Version 1—where your expertise will shape the future of enterprise supply chains across the UK & Ireland. You’ll be front and centre on major Oracle SCM Cloud projects—defining strategy, delivering solutions, and working directly with clients to drive real transformation. We don’t just talk development—we invest in it. From a generous training budget and certification support to dedicated quarterly career reviews, your growth is part of our business plan. Hybrid flexibility, work-life balance, and performance-driven rewards. Whether you're delivering from home or collaborating in the office, we support how you work best. We’re not just any consultancy. You’ll be joining a company known for getting it right. • 37 UKOUG awards over the last 3 years., • 13 awards - UK Oracle User Group (UKOUG) Community Awards 2026 (4 Gold, 5 Silver, 4 Bronze), • We’re a 10-time Great Place to Work winner., • Top-tier Oracle partner across Database, Platform, ERP, and Managed Services, • Recognised as a leader in AI & digital transformation consulting with global delivery footprint This is not just another Oracle role. You’ll work on complex end-to-end projects across Procurement, Inventory, Manufacturing, Financials, and beyond—with real autonomy and real impact. You’re an experienced Oracle SCM Cloud expert who’s passionate about solving business challenges, advising clients, and staying ahead of Oracle’s ever-evolving platform. You’re hands‑on, collaborative, and ready to lead from day one. If you’re looking for your next big move— and want it to be with a consultancy that values your work, rewards your expertise, and helps you level up—then Version 1 is where you belong. • Leading and implementing Oracle SCM Cloud, • Overseeing requirements definition, design and gap analysis, • Leading application configuration., • Driving forward functional support of technical activities such as data migration and integration,, • Leading solution validation workshops, • Overseeing testing support, training delivery, post go live support and other related aspects of functional implementation advice and guidance., • Oracle Cloud (SaaS): SCM - Procurement including Self Service & Supplier Portal, Procurement Contracts, Inventory Management, Product Management, Cost Management, Order Management, Manufacturing (Process + Discrete), and including Quality, • Oracle Cloud (Saas): Other areas – Account Payable, Tax, Subledger Accounting, Intercompany, Supply Chain & Financial Orchestration Flows, • Oracle E-Business Suite experience highly desirable, • Oracle Cloud Reporting: Oracle Transactional Business Intelligence, • Familiarity of the Oracle OUM and/or AIM methodology, • Excellent written and verbal communication, • Experience of working effectively within a team, • Organised and self-motivated, • Ability to multi-task and priorities across concurrent projects may be required., • Management of change requests through the development and testing lifecycle confirming to project management standards and scope, • Liaising with Oracle to ensure effective management of client SRs, • Ensure that clients are supported and kept up to date with latest Oracle Cloud quarterly releases, • Manage on‑time project delivery and business expectations and ensure internal customer satisfaction, • Assist with risk management and change management on projects, • Advising clients on options, risks, and any impacts on other processes or systems, • Effectively communicating and driving project deliverables, • Completing tasks efficiently and in a timely manner, • Providing status and issue reports to the project manager/client on a regular basis, • Join a global Oracle practice of 700+ specialists, supported by 500+ certified professionals across the Oracle ecosystem., • Work on large-scale, multi-pillar Oracle Cloud transformation programmes for some of the UK's most recognised organisations., • Collaborate with a high-performing, market-leading Oracle team renowned for delivering complex enterprise transformation projects., • Be part of an organisation that provides end-to-end Oracle services, including consulting and advisory, implementation, integration, cloud infrastructure, and managed services., • Leverage our deep Oracle Cloud Infrastructure (OCI) expertise to deliver scalable, secure, and high-performing cloud solutions for enterprise clients., • Accelerate your career through our Strength in Balance and leadership development programmes, supported by quarterly Pathways career reviews., • Benefit from a substantial training and certification budget, helping you stay at the forefront of Oracle technologies and industry best practices., • Enjoy meaningful recognition through our Annual Excellence Awards, Call‑Out recognition platform, and quarterly profit-share scheme., • Influence testing strategy, delivery quality, and business outcomes across some of the UK's most significant ERP transformation programmes., • Work with prestigious clients, including organisations such as the Bank of England and Birmingham City Council., • Take advantage of our flexible hybrid working model, combining remote delivery with occasional client or hub-based collaboration., • Access enhanced wellbeing and family support through our maternity, paternity, and Moments that Matter policies., • Be part of a purpose-driven culture with opportunities to contribute to ESG, CSR, DEI, volunteering, and community initiatives that create a positive social impact. At Version 1, you'll combine industry‑leading Oracle expertise, meaningful career progression, and the opportunity to deliver transformational outcomes for some of the world's most recognised organisations. • Quarterly performance-related profit share, • Hybrid / Remote working flexibility, • Pension, private healthcare, life assurance cover, • Certified Great Place to Work for 10+ years running This is hybrid based with occasional travel to your nearest base office. Ashley Billington, Head of Talent Acquisition – Enterprise Applications (Oracle Cloud - ERP, HCM, EPM) +447840839370 We are an equal opportunities employer. Please refer to our Diversity & Inclusion statement located at: Diversity, Inclusion & Belonging | Version 1 Careers Please note: We have an internal recruitment team and do not accept agency candidates. If you want to join the team here at Version 1, get in touch with us directly! #J-18808-Ljbffr

Data / AI Engineer (Active DV Clerance is required) Hybrid Working Up to £70,000 DOE Permanent Join a growing Defence & National Security practice delivering critical data driven solutions to support high-impact government programmes. This role focuses on leveraging Palantir Foundry and Gotham to transform complex data into trusted, actionable insights for mission-critical environments. You will work at the intersection of data engineering, analytics, and client delivery, collaborating within multi-disciplinary teams to build scalable, production-grade data solutions. Key Responsibilities Data Engineering & Platform Development • Design, build, and maintain robust, scalable data pipelines within Palantir Foundry., • Ingest, transform, and integrate diverse data sources (batch, streaming, real-time, and unstructured) into structured data assets., • Develop and optimise ETL processes and automated workflows to support downstream analytics, AI, and operational use cases., • Architect high-performance data systems, ensuring scalability, reliability, and efficiency., • Leverage advanced Foundry features including artifacts, compute modules, and Ontology frameworks. Client Delivery & Collaboration • Work closely with clients to understand requirements and translate them into technical solutions., • Manage stakeholder relationships and communicate progress and value effectively., • Deliver solutions within Agile environments, collaborating across cross-functional teams. Technical Skills • Strong hands-on experience with:, • Palantir Foundry and/or Gotham, • Data engineering, ETL pipelines, and workflow orchestration, • Proficiency in programming languages such as:, • Python (essential), • TypeScript (desirable) If you receive suspicious outreach claiming to be from us, please contact us via the ManpowerGroup website. JBRP1_UKTJ

Job Description: AI Architect Location: London (Hybrid) Contract Duration: 6 Months Daily Rate: £680 per day Clearance: Active SC Clearance Required Role Overview We are seeking aAI Architect to lead the design, governance, and delivery of enterprise-grade AI solutions built on frontier foundation models. This is a high-impact, hybrid technical-leadership contract position. You will architect solutions that push what frontier models including LLMs, multi-modal systems, and agentic architectures can responsibly achieve within complex, highly regulated environments. You will lead a team of architects and engineers while serving as a trusted technical advisor to client CxOs. Key Responsibilities • Architecture and Solution Design: Architect enterprise AI solutions using frontier models (Claude, GPT, Gemini family) across agentic automation, RAG, copilots, and multi-modal applications., • Pre-Sales and Discovery: Lead technical solutioning during pre-sales and discovery, translating client business challenges into scalable AI architectures and delivery roadmaps., • Platform Governance: Design and govern AI platform architecturescovering model orchestration, prompt/context management, retrieval pipelines, vector stores, and tool integration (including emerging protocols like MCP)., • Responsible AI Frameworks: Define and enforce AI governance, risk, and safety frameworks (covering bias, data privacy, and model risk) aligned with regulatory requirements., • Team Leadership and Delivery: Mentoring and leading a team of AI engineers and architects, driving end-to-end delivery quality, technical governance boards, and production readiness., • Ecosystem Partnerships: Own technical relationships across major cloud AI ecosystems (Azure OpenAI, AWS Bedrock, Google Vertex AI, Anthropic, OpenAI)., • Reusable Assets: Drive the creation of reusable accelerators, frameworks, and IP across client engagements. Required Skills and Experience • Clearance: Active UK SC Clearance is essential., • Experience: 10+ years in software, data engineering, or solution architecture, with at least 3-5 years focused specifically on applied AI/ML or Generative AI., • Hands-on GenAI Depth: Proven experience architecting solutions with frontier modelsincluding prompt engineering, fine-tuning, RAG, and agentic/multi-agent system design., • LLMOps / MLOps Grounding: Expertise in evaluation frameworks, observability, cost and latency optimization, guardrails, and safe deployment at scale., • Cloud and Model Ecosystems: Direct experience with major model providers (Anthropic, OpenAI, Google) and hyperscaler AI stacks (AWS Bedrock, Azure AI/OpenAI, Google Vertex AI)., • AI Governance: Deep knowledge of Responsible AI, risk management, and regulatory frameworks (e.g., EU AI Act, NIST AI RMF)., • Consulting Leadership: Proven experience in client-facing consulting, pre-sales technical leadership, and managing CxO-level stakeholders., • Engineering Fundamentals: Strong software engineering background (API design, microservices, cloud-native architecture, data pipelines). Preferred / Desirable Skills • Experience with agent orchestration frameworks (e.g., LangGraph, AutoGen, CrewAI) and emerging tool protocols (e.g., Model Context Protocol / MCP)., • Relevant certifications (e.g., Azure AI Engineer, AWS ML Specialty, Google Professional ML Engineer). £650.00 - £680.00 / day Talent International UK and it's subsidiaries, Digital Gurus, Infinite Talent and Rethink act as an employment agency for permanent recruitment and employment business for the supply of temporary workers. By applying for this opportunity, you accept the TandC's, Privacy Policy and Disclaimers which can be JBRP1_UKTJ

Front End Developer - FinTech - Newcastle.Tech stack: Front End Developer, React, TypeScript, Websockets, SignalR, Containers, Orchestration, UX, Usability, Programmer, Developer, Architect, Front End Developer).Our client is a cutting-edge FinTech company with a reputation for innovation and excell

This remote-first position requires expertise in TypeScript and Node.

Scrumconnect Consulting is seeking a Lead AI Engineer to drive hands-on development of AI components within a large-scale government AI Operating Model programme. You will design, implement, and ship production-grade AI capabilities—RAG pipelines, semantic search, and LLM orchestration—integrated into multi-cloud, secure data environments across the UK. You will lead the squad's engineering practice, set standards, review designs, mentor engineers, and enforce Responsible AI, security, and #J-18808-Ljbffr

You build the solutions that actually make AI work in enterprise environments, not demos, not prototypes that stall after a pilot, but production agentic architectures running inside real client organizations. The difference between an AI Engineer and what we are looking for is straightforward: you have shipped a multi-agent solution in production, you have owned the evaluation harness, and you know what happens when your agent fails at 2am because you have lived it. As an AI Engineer (Agentic/Applied), you will design, build, and deploy production-grade agentic AI solutions across the full enterprise technology stack. You will work directly with client engineering teams, lead technical design sessions, and build reusable patterns and accelerators that scale beyond individual engagements to maximise efficiencies across the software delivery lifecycle (SDLC). This role sits at the heart of the AI engineering talent market — demand is growing faster than supply and will continue to do so. We offer what no single product company can: breadth across every industry, every enterprise technology stack, and every level of organizational complexity, combined with vendor fellowship access inside Anthropic, OpenAI, Microsoft, and Google engineering teams and a direct pathway to the Forward Deployed Engineer programme. • Architect and govern production-grade agentic solutions at enterprise scale: multi-agent orchestration across complex environments, RAG pipelines, policy-based routing, memory management, and programme-level lifecycle observability, • Define RAG pipeline standards across engagements: establish chunking and embedding strategies, set quality benchmarks, and ensure metric-backed tradeoff decisions are documented and transferable, • Set multi-LLM integration standards: vendor-agnostic architecture by default, fallback routing and cost governance as standard design practice across providers including OpenAI, Anthropic, Vertex AI, and open-source models, • Own LLMOps at programme scale: evaluation strategy, prompt governance, observability tooling standards, safety monitoring and cost controls across multiple concurrent systems, • Lead client engineering engagements at senior level — analyse the SDLC to identify AI/agentic opportunities and use cases, facilitate architecture design sessions, lead proof-of-concept delivery, and drive alignment between client technology leadership and delivery teams, • Shape and publish reusable patterns, accelerators, and engineering standards that scale across the practice and reduce ramp-up time on new client engagements, • Own the measurement framework for agentic system quality: define accuracy, latency, safety, and cost metrics; present programme-level AI impact in business terms to senior client stakeholders, • Extensive software engineering experience in production environments, • Hands-on experience designing and deploying agentic AI solutions in a production environment — non-negotiable, • Demonstrated experience with agentic orchestration frameworks: LangGraph, CrewAI, AutoGen, or equivalent — at production depth, not tutorial level, • Direct experience calling LLM APIs (OpenAI, Anthropic, Vertex AI) in production code: provider abstraction, token management, latency and cost tradeoffs, • RAG pipeline ownership: embeddings, chunking strategy, vector databases, and context engineering, • LLMOps fundamentals: eval harness design, prompt versioning, and production observability, • Cloud-native engineering maturity: Kubernetes, Docker, microservices, serverless, CI/CD, and IaC (Terraform or Helm), • Strong Python; Java or equivalent backend language acceptable; production debugging and observability experience, • Quality of experience is weighted over years, a candidate who has shipped three production agentic systems in four years is preferred over a generalist with passive AI exposure, • People lead responsibilities: experience managing, developing, and performance-managing a team of engineers; setting individual development plans and conducting career conversations #J-18808-Ljbffr

hackajob is partnering directly with Rentokil Initial to hire for this role. As part of our Group AI Team, we are scaling our internal capabilities to deliver cutting-edge, production-grade AI solutions across our global operations. We are establishing an "Agentic Factory" - a dedicated, high-velocity delivery team focused on designing, building, and deploying genAI & ML solutions, multi-agent workflows, and automation systems to solve complex business problems. The primary goals of the team include: Leading the technical design and architecture of AI solutions, in addition to building and running an AI platform to deliver business-specific Use Case solutions. Collaborating with the Data Platform to team in ingesting and transforming data from multiple systems, modeling data, and engineering data marts to create reusable data assets, including developing and implementing machine learning models, genAI, and Agentic AI. Creating an operating a company wide agentic AI solution platform to help scale up AI capabilities across all functions and regions. Building AI models and a data science platform that enables Rentokil to derive significant value from AI, from machine learning to gen AI and beyond, and ensuring the quality and reliability of AI solutions deployed on the platform. Support, govern and enable company-wide adoption of emerging AI technologies. Purpose of the role We are seeking a pragmatic, highly technical individual to lead the engineering efforts within our Agentic Factory. Sitting directly alongside our AI Delivery Manager and AI Product Owner, you will bridge the gap between business requirements and technical execution. Together with the AI & Data Architect, you will provide architectural oversight, defining engineering best practices, and mentoring a talented team of AI engineers & Data Scientists, while remaining hands-on enough to solve complex engineering bottlenecks; You will support Use Case Design and feasibility assessments, ensuring opportunities explored are achievable and scalable. You will support the Head of Engineering as the execution arm for AI responsibilities, extending your focus beyond the AI team to support and enable other IT teams across the organisation. Responsibilities Technical Leadership & Engineering Design Agentic Systems: Design and scale robust, secure, and production-ready multi-agent workflows, orchestrations, and advanced RAG architectures, in collaboration with Enterprise Architecture principles. Drive delivery by designing and building agentic solutions, spanning from piloting to full implementation Define Engineering Excellence: Establish strict coding standards, code review processes, testing frameworks, and evaluation metrics for generative AI applications. Support and strictly enforce the standards set by the Head of Engineering and Technical Architect Cloud & Platform Integration: Partner closely with our GCP and Data Engineering teams to build seamless LLMOps/MLOps CI/CD pipelines, ensuring scalable and cost-effective model deployment via Vertex AI and containerized environments. Take ownership of building and maintaining robust LLMOps pipelines. AI Safety & Guardrails: Implement robust evaluation frameworks, latency monitoring, and automated guardrails to ensure enterprise-grade safety, security, and compliance. AI Safety & Guardrails: Implement robust evaluation frameworks, latency monitoring, and automated guardrails to ensure enterprise-grade safety, security, and compliance. Internal AI Enablement & Prompt Lifecycle: Manage the engineering workflows, CI/CD pipelines, version control, and evaluation frameworks for internal developer-facing AI assets, including prompt libraries and automated testing agents. Team Mentorship & Delivery Grow the team: Act as a technical mentor to a team of intermediate and junior AI Engineers, fostering a culture of continuous learning, clean code, and agility. Pragmatic Delivery: Collaborate with the AI Product Owner and Business Analysts to translate abstract business use cases into structured, achievable technical sprints. Drive MVP to Production: Shift the team's focus from sandboxed proof-of-concepts (PoCs) to reliable, resilient applications deployed to production for global users, leading AI engineering for AI team solutions and actively supporting junior engineers through this transition. Evolve AI Maturity Support the company's evolving AI strategy, providing an expert voice on Use Case identification, platform identification and tool selection. Advise the AI portfolio Lead in scaling impact and AI capability across the company, beyond the Group AI Team. Stay up to date on market trends, new opportunities, and the changing landscape of AI technologies. Requirements Experience AI Orchestration & Development: Expert-level experience building complex LLM-powered systems and multi-agent workflows using frameworks like LangGraph, LangChain, AutoGen, or ADK. Artificial Intelligence & Machine Learning: Deep practical understanding of machine learning algorithms, natural language processing (NLP) techniques, and the optimization of large language models for enterprise deployment. Data Engineering & Cloud Computing: Strong proficiency in designing optimized ELT/ETL pipelines and managing data lake/data warehouse architectures. Hands-on experience with Google Cloud Platform (GCP) services including Vertex AI, BigQuery, Cloud SQL, and Google Cloud Storage (GCS). MLOps/LLMOps Pipelines: Proven track record of architecting pipelines for model deployment, performance tracking, hyperparameter tuning, and containerized workflows using Docker and Kubernetes (GKE/Vertex AI Pipelines). Team Leadership & Mentorship: Extensive experience leading technical delivery, defining engineering milestones, running code reviews, and successfully mentoring junior or intermediate engineering talent. Knowledge & Skills Autonomy: Works with high autonomy under broad strategic guidance. Accountable for defining and meeting technical, architectural, and delivery goals, establishing milestones, and assigning tasks. Influence: Exerts major technical influence across the organization, partners, and peers. Partners with cross-functional business and product leaders, making key architectural decisions that affect budgets, timelines, and scalability. Complexity: Manages diverse, highly complex, and unpredictable technical challenges. Uses fundamental engineering principles to connect cutting-edge AI research with practical enterprise software. Business Skills: Advises executives on AI trends, risks, and tools. Bridges the gap between technical developers and business teams, showcasing strong leadership, creativity, and ethical problem-solving. Technical Expertise & Tools: Python: Advanced, production-grade proficiency (Pandas, NumPy, FastAPI/Flask) with an absolute focus on writing clean, modular, and highly testable code. SQL: Expert querying, database design, partitioning, and optimization strategies for large-scale BigQuery environments. Relevant Qualifications Desirable: Google Cloud Certified Cloud Engineer Google Cloud Certified Professional Data Engineer / Cloud AI Engineer Degree Qualification or Equivalent: A Bachelor's or Master's degree in Computer Science, Software Engineering, Artificial Intelligence, or a highly quantitative field is desirable; however, a proven track record of architecting and shipping production-grade commercial AI systems is highly valued and may substitute for specific academic credentials. IT HNC/HND courses will also be accepted. Benefits • Competitive salary and bonus scheme, • Hybrid working, • Rentokil Initial Reward Scheme, • 23 days holiday, plus 8 bank holidays, • Employee Assistance Programme, • Death in service benefit, • Healthcare, • Free parking At Rentokil Initial, our customers and colleagues represent diverse backgrounds and experiences. We take pride in being an equal opportunity employer, actively encouraging applications from individuals from all walks of life. Our belief is that everyone irrespective of age, gender, gender identity, gender expression, ethnicity, sexual orientation, disabilities, religion, or beliefs, has the potential to thrive and contribute. We embrace the differences that make each of our colleagues unique, fostering an inclusive environment where everyone can be their authentic selves and feel a sense of belonging. To ensure that your journey with us is accessible if you have any individual requirements we invite you to communicate any specific needs or preferences you may have during any stage of the recruitment process. Our team is available to support you; feel free to reach out to () if you need anything Be Yourself in Your Application! At Rentokil Initial, we value innovation, but we want to see the real you! While AI can help with structure and grammar, make sure your application shows your true passion and understanding of the role. A personal touch will help you stand out. JBRP1_UKTJ

Senior Platform Engineer Manchester Permanent, full time Hybrid (min 3 days a week on site) Due to the interesting work we do and the sector this team is working in, we require all candidates to be willing and eligible to hold SC and eDV clearance. About us At Raytheon UK, we take immense pride in being a leader in defence and aerospace technology. As an employer, we are dedicated to fuelling innovation, nurturing talent, and fostering a culture of excellence. Cyber Our National Security Cyber business delivers mission-critical solutions that safeguard our national security 24 hours a day, seven days a week. Working in a mature, agile environment, our SCRUM teams work synchronously with our customers to solve some of the toughest digital challenges faced in the world today. Role & Responsibilities Work as a Senior Platform Engineer, deploying applications and software to cloud or on-prem environments for our many 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. Building and setting up development tools and infrastructure Understand the needs of project stakeholders Automate and improve development and release processes Ensure that systems are safe and secure against cyber security threats Identify technical problems and develop software updates and solutions Work with other engineers to ensure that development follows established processes and works as intended Required experience Experience of working in an Agile/SCRUM/DevOps delivery model Cloud technologies (AWS or Azure) Infrastructure as code e.g. Terraform, Puppet, Chef, Ansible etc. Experience in building and deploying large-scale applications in Continuous Integration/Delivery pipelines; Container platform and orchestration systems ECS, AKS, Kubernetes/helm/Docker Experience in automation and integration tools such as Jenkins, Concourse CI or cloud equivalents Experience in scripting languages and source control Benefits: £: Competitive salary Contributory Pension Scheme (up to 10.5% company contribution) 6 times salary 'Life Assurance' with pension 25 days holiday (increasing with service) + statutory public holidays, plus opportunity to buy and sell up to 5 days (37hr) Company bonus scheme (discretionary) Flexible Benefits scheme with extensive salary sacrifice schemes, including Health Cashplan, Dental, and Cycle to Work amongst others Enhanced sick pay Enhanced family friendly policies including enhanced maternity, paternity & shared parental leave Work Culture 37hr working week, although hours may vary depending on role, job requirement or site-specific arrangements. Early 1.30pm finish Friday, start your weekend early! Remote, hybrid and site based working opportunities, dependant on your needs and the requirements of the role. Up to 5 paid days volunteering each year. Flexible working culture focused on output, with more formal flexible working arrangements on request (assessed subject to role) - please highlight any requests to the Talent Acquisition team. JBRP1_UKTJ

hackajob is partnering directly with BNY Mellon to hire for this role. We're seeking a future team member for the role of Senior Vice President, Full-Stack Engineer to join our Engineering team. This role is located in Manchester. In this role, you'll make an impact in the following ways: Drive the evolution of the Enterprise Workflow Engine into a next-generation, multi-agent orchestration platform enabling scalable, intelligent automation across the organisation through BPMN, DMN, and AI-driven execution frameworks. Lead the design and delivery of Workflow Studio and designer capabilities, providing intuitive, AI-assisted tooling for engineers and business users to model, configure, and deploy workflows, decisions, forms, and reusable orchestration components. Architect and deliver advanced platform capabilities, including multi-tenancy, modular and composable components, and abstraction of the underlying workflow engine (e.g., Camunda) to enable extensibility, portability, and enterprise-scale orchestration. Drive delivery excellence across workflow and decisioning platforms, embedding observability, resilience, auditability, and performance at scale, while establishing engineering standards across CI/CD, testing, security, and data architecture. To be successful in this role, we're seeking the following: Bachelor's or Master's degree in Computer Science, Engineering, or a related discipline (or equivalent practical experience). Deep hands-on expertise in modern engineering stacks, including Java (v17/21), Spring Boot, and building scalable, secure, API-first services combined with the ability to set engineering direction and standards across the platform. Strong experience in workflow and decision engineering, covering BPMN 2.0 orchestration, DMN modelling, and enterprise workflow engines (e.g., Camunda), with the ability to define the strategic evolution toward multi-agent and event-driven orchestration architectures. Full-stack engineering capability with architectural ownership, including front-end (Angular or equivalent), middleware/event streaming (Kafka, JMS, RabbitMQ), and relational data platforms (Oracle/MySQL), enabling end-to-end platform design and optimisation. Proven track record of delivering production-grade platforms, embedding engineering excellence across test automation, CI/CD, observability, resilience, and traceability while driving continuous improvement of SDLC practices at scale. Hands-on technical leader who can actively contribute to solution design and critical builds, while defining strategy, mentoring senior engineers, and scaling high-performing teams aligned to enterprise platform outcomes At BNY, our culture allows us to run our company better and enables employees' growth and success. As a leading global financial services company at the heart of the global financial system, we influence nearly 20% of the world's investible assets. Every day, our teams harness cutting-edge AI and breakthrough technologies to collaborate with clients, driving transformative solutions that redefine industries and uplift communities worldwide. Recognized as a top destination for innovators, BNY is where bold ideas meet advanced technology and exceptional talent. Together, we power the future of finance - and this is what #LifeAtBNY is all about. Join us and be part of something extraordinary. JBRP1_UKTJ

hackajob is partnering directly with Raytheon UK to hire for this role. Date Posted: 2026-06-26 Country: United Kingdom Location: Manchester, Lancashire Position Role Type: Onsite Principal Platform Engineer Manchester Permanent, full time Hybrid (min 3 days a week on site) Due to the interesting work we do and the sector this team is working in, we require all candidates to be willing and eligible to hold SC and eDV clearance. About us At Raytheon UK, we take immense pride in being a leader in defence and aerospace technology. As an employer, we are dedicated to fuelling innovation, nurturing talent, and fostering a culture of excellence. Cyber Our National Security Cyber business delivers mission-critical solutions that safeguard our national security 24 hours a day, seven days a week. Working in a mature, agile environment, our SCRUM teams work synchronously with our customers to solve some of the toughest digital challenges faced in the world today. Role & Responsibilities Work as a Principal Platform Engineer, deploying applications and software to cloud or on-prem environments for our many 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. Building and setting up development tools and infrastructure Understand the needs of project stakeholders Automate and improve development and release processes Ensure that systems are safe and secure against cyber security threats Identify technical problems and develop software updates and solutions Work with other engineers to ensure that development follows established processes and works as intended Required experience Experience of working in an Agile/SCRUM/DevOps delivery model Cloud technologies (AWS or Azure) Infrastructure as code e.g. Terraform, Puppet, Chef, Ansible etc. Experience in building and deploying large-scale applications in Continuous Integration/Delivery pipelines; Container platform and orchestration systems ECS, AKS, Kubernetes/helm/Docker Experience in automation and integration tools such as Jenkins, Concourse CI or cloud equivalents Experience in scripting languages and source control Benefits: £: Competitive salary Contributory Pension Scheme (up to 10.5% company contribution) 6 times salary 'Life Assurance' with pension 25 days holiday (increasing with service) + statutory public holidays, plus opportunity to buy and sell up to 5 days (37hr) Company bonus scheme (discretionary) Flexible Benefits scheme with extensive salary sacrifice schemes, including Health Cashplan, Dental, and Cycle to Work amongst others Enhanced sick pay Enhanced family friendly policies including enhanced maternity, paternity & shared parental leave Work Culture 37hr working week, although hours may vary depending on role, job requirement or site-specific arrangements. Early 1.30pm finish Friday, start your weekend early! Remote, hybrid and site based working opportunities, dependant on your needs and the requirements of the role. Up to 5 paid days volunteering each year. Flexible working culture focused on output, with more formal flexible working arrangements on request (assessed subject to role) - please highlight any requests to the Talent Acquisition team. 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. 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. Privacy Policy and Terms: Click on this link to read the Policy and Terms JBRP1_UKTJ

Our client, a leading Technology Consulting business based in Newcastle upon Tyne, seek a Data Engineer to join their elite Tyneside team as part of rapid expansion of the business to cope with client demand and continued excellent performance. About the Role As a Data Engineer, you will play a key role in the Data Analytics Team. This role involves building data pipelines to the company's central data platform as well as development, testing and maintenance of said platform to ensure the availability, reliability, and integrity of critical data. Key Deliverables • Data Pipeline Development: Design and develop sophisticated data pipelines to import data from external vendors, sell-side partners, and other providers seamlessly into the central data platform., • Platform Development & Testing: Contribute to the ongoing enhancement of their platform to ensure it aligns with ever-changing business requirements. Test the system regularly to confirm its effectiveness and perform troubleshooting when necessary., • Platform Maintenance & Data Reliability: Ensure the platform is well-maintained, enabling uninterrupted access to crucial data points. Continuously verify data quality and integrity., • Continuous Improvement & Collaboration: Collaborate with internal stakeholders to streamline data accessibility and usability. Drive innovation by adopting advanced analytics technologies and methodologies. About You To be considered for the role, it is essential that you possess exemplary academic prowess, with a 2:1 or 1st in a relevant subject (e.g. Computing Science, Maths, Physics etc.) and accompanying demonstrable experience gained working as a Data Engineer. It is essential that you possess experience working as a Data Engineer, in hedge-fund, private equity or investment banking. Key Selection Criteria • Hedge fund / Private equity experience is essential, • Expertise in designing and building data pipelines, • Proficient in SQL, Python, AWS and other data management technologies, • Familiarity with version control systems like Git and orchestration tools like Airflow, • Ability to test and troubleshoot data platforms reliably., • A track record of improving data reliability and quality, • Excellent communication skills and the ability to work effectively within a team-based environment, • Self-starter, detail-oriented, and open to learning new technologies and methodologies This is an excellent opportunity to join a leading business that only employs exceptional, collaborative and passionate people. This rapid expansion phase is the ideal time to be joining such a prestigious business

We're looking for an experienced DevOps / Platform Engineer to help design, automate, and support modern cloud-based platforms and software delivery pipelines. You'll work within Agile delivery teams to improve deployment reliability, operational resilience, and engineering efficiency while driving DevOps best practices across the organisation. Key Responsibilities Design, build, and maintain CI/CD pipelines and automated deployment processes. Provision and manage cloud infrastructure using Infrastructure as Code. Develop automation solutions to improve delivery speed, reliability, and scalability. Support containerised and cloud-native environments using Kubernetes and Docker. Implement monitoring, logging, observability, and alerting solutions. Promote DevSecOps practices, security controls, and operational excellence. Collaborate with engineers, architects, testers, and product teams to deliver high-quality software. Lead troubleshooting, incident management, and continuous improvement initiatives.Skills & Experience Experience with AWS, Azure, or GCP. Strong knowledge of CI/CD tools such as GitLab, Jenkins, GitHub Actions, or Azure DevOps. Hands-on experience with Terraform, CloudFormation, AWS CDK, or Bicep. Knowledge of Docker, Kubernetes, OpenShift, and container orchestration. Scripting skills in Python, Bash, PowerShell, Node.js, or TypeScript. Experience with monitoring and observability tools such as Grafana, Prometheus, Splunk, ELK, or CloudWatch. Strong understanding of DevSecOps, networking, cloud architecture, and Agile delivery.Leadership Responsibilities Provide technical leadership across DevOps and platform engineering initiatives. Mentor and support engineers within the team. Define and champion engineering standards, automation practices, and cloud strategies. Contribute to architecture reviews, technical governance, and delivery planning. Act as a subject matter expert for cloud, automation, and software delivery practices

Job SummaryAs Director of Sales, AI and Experience Orchestration, you will lead a team of specialist overlay sellers responsible for driving sales of Genesys’ AI powered customer experience and orchestration capabilities across EMEA. Key ResponsibilitiesLead, coach, and develop a team of AI and Ex

Software Engineer to join the Spacetime team, building the next generation of our cloud-native platform for 5G NTN orchestration and Direct-to-Cell services.

Genesys is seeking a Director of Sales, AI and Experience Orchestration, to lead a specialist overlay team driving AI-powered customer experience solutions across the EMEA region.

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A growing AI consultancy in the UK is seeking an experienced AI Engineer to design, build, and deploy production-grade AI systems.The role focuses on integrating large language models with an emphasis on reliability and scalability.Candidates should possess hands-on experience with LLM APIs, solid P

Genesys seeks a Director of Sales, AI and Experience Orchestration to lead a team of specialist overlay sellers selling AI-powered CX solutions across EMEA.

Full-Stack Engineers to own the entire stack, from Python/FastAPI backend to the Next.Build AI agents for tenant engagement, landlord outreach, compliance and maintenance, and orchestrate LLM-powered systems.You'll lead architecture decisions, ship production-grade integrations, and own the system f

You will own the AI infrastructure that makes our agents reliable, fast, and safe in production, including the runtime, evaluation pipelines, context management, tool orchestration, and observability. You will ship production systems that use LLMs, retrieval, and agent orchestration, and you’ll be

A cutting-edge AI research lab seeks an individual to help build the next generation of AI infrastructure.You'll design and architect internal developer platforms and secure Kubernetes structures, managing high-performance NVIDIA H100 clusters.This role offers the chance to work in a remote-first en

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Ben is seeking a Software Engineer (Data) to build and run data pipelines, orchestration, and infrastructure that move data across the company and to customers.

Adaptyv in London is seeking a full-stack product engineer to build the orchestration layer of LabOS, coordinating experiment scheduling, execution, data capture and results processing.

You will support our data orchestration and processing pipeline, as we build with scalability in mind.

A leading consulting firm in London is seeking a Camunda Architect to design and implement enterprise-grade workflow solutions.This role requires a balance of technical expertise in Camunda, BPMN, and strong leadership skills to guide engineering teams.The successful candidate must possess in-depth

This role focuses on creating reliable, scalable applications and multi-agent orchestration, not model training.

A leading technology firm in Greater London seeks a specialist to define architectures for GenAI systems, design multi-tenant platforms, and lead engineering efforts.The ideal candidate will have over 8 years in software architecture and expertise in LLM solutions.Responsibilities include architecti

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Humanoid is seeking a Senior Product Manager to own the Fleet Management System (FMS) and lead the application team building it.You will define the roadmap across facility, customer, and global fleet scales, and work closely with engineering to shape capabilities that span robot bring-up to multi-si

You will work on orchestration frameworks, tool execution, and state management to enable production-grade AI applications.

Publicis Groupe ANZ is looking for a Regional Account Director to lead the orchestration of client projects and ensure seamless marketing integration.

Customer Analytics & Insights and Customer Orchestration teams to track and improve performance. Provide structured feedback to strengthen enterprise CX and customer orchestration standards. Proficiency in using audience engagement, performance, and experience data to inform orchestration decisions

Orchestration Architect - 5G, Open RAN & Network Automation.

We have an exciting opportunity for a Matter Orchestration Manager to join our IT team, based in A&O Shearman's Belfast Office. What you will do Reporting to the Head of Matter Technology Platforms, the Matter Orchestration Manager is responsible for the detailed technical design, architecture artef

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Interim Director of Income Generation.Remote contract, with some travel requirements.GatenbySanderson is delighted to be supporting a national organisation seeking an experienced Interim Director of Income Generation to join its senior leadership team during a period of growth and development.Report