3008 jobs found

Job Title: Workday Integration Developer 3 months Remote Inside IR35 - umbrella only Role requirements: Minimum of 3 years of experience with Workday HCM integrations - development, maintenance & support. Experience of Workday Integration Tools: Proficiency with Workday's integration tools and technologies, including Workday Studio, Enterprise Interface Builder (EIB), and Workday Web Services (WWS). System Integration: Skills in integrating Workday with external systems, such as ERP, CRM. Workday Report Writer and Payroll interfaces PECI & PICOF. Programming Languages: Knowledge of programming languages such as XSLT for data transformation and Scripting languages like JavaScript or Groovy for custom integrations. API Integration: Experience with RESTful and SOAP APIs to connect Workday with other systems and applications. Data Formats: Familiarity with various data formats like XML, JSON, and CSV for data exchange and transformation. Database Skills: Understanding of database concepts and SQL for managing and querying data. Security and Authentication: Knowledge of security protocols and authentication methods, such as OAuth and SAML, to ensure secure data exchange. Error Handling and Debugging: Ability to troubleshoot and debug integration issues to ensure seamless operation. Testing and Validation: Experience with testing and validating integrations to ensure they meet business requirements and work correctly in various scenarios. Change Management: Skills in managing changes to integration configurations and ensuring minimal disruption to business operations. Preferred Technical and Professional Experience Candidate must be Workday Integration certified Strong understanding of Workday integrations across multiple modules Workday Pro Certifications Excellent problem-solving skills and attention to detail. Strong communication and interpersonal skills. Ability to work collaboratively with cross-functional teams. Experience with requirements gathering, testing, validation, end-user training, troubleshooting and support. Knowledge of industry best practices for Workday implementations. Ability to manage multiple projects and priorities simultaneously. Strong analytical and critical thinking skills. Key Responsibilities Design, implement, and maintain integrations between Workday and other systems. Integration Design: Develop integration solutions that meet business needs by designing and configuring Workday integrations using tools such as Workday Studio, Enterprise Interface Builder (EIB), and Workday Web Services (WWS). Data Mapping and Transformation: Create data mapping and transformation rules to ensure that data flows accurately between Workday and other systems. API Development: Utilize RESTful and SOAP APIs for integrating Workday with external applications and systems, ensuring data is exchanged correctly. Integration Testing: Perform comprehensive testing of integrations to validate that they function correctly, handle errors appropriately, and meet business requirements. Troubleshooting and Support: Identify, diagnose, and resolve integration issues, providing ongoing support to ensure seamless operation. Based on the severity of cases, the SLA need to be met. Documentation : Create and maintain detailed documentation of integration designs, configurations, data mappings, and troubleshooting steps for future reference and compliance. Collaboration : Work closely with functional consultants, IT teams, and business stakeholders to gather requirements, understand integration needs, and ensure successful implementation. Change Management: Manage and implement changes to integrations, including updates and enhancements, while minimizing disruptions to existing systems. Performance Monitoring: Monitor the performance of integrations and address any performance issues to maintain efficient data flows. Compliance and Security: Ensure that integrations comply with data security standards and organizational policies, implementing proper security measures and authentication protocols. Ensure that Workday integrations are well-designed, reliable, and aligned with business processes and goals. Leading and prioritizing backlog with guidance from Product Management, Engineering, Support/Operations.

A rapidly growing leader in proactive cybersecurity services is expanding its consulting team and seeking a Security Consultant with a strong background in mobile application penetration testing. This role is ideal for a hands-on penetration tester who enjoys uncovering complex vulnerabilities and delivering meaningful security improvements for enterprise clients. You will work alongside experienced security professionals, leveraging advanced tooling, automation, and research-driven methodologies to perform deep technical testing across mobile applications and APIs. The focus of this role is on producing high-quality, actionable findings that help organizations strengthen their security posture. Key Responsibilities Perform penetration testing engagements on mobile applications (iOS and Android) and associated APIs Identify weaknesses related to data storage, network communications, authentication, and cryptography Analyze mobile application behaviour, sandboxing, and OS-level security controls Produce clear, well-structured penetration testing reports aligned with client-specific standards and workflows Collaborate with internal teams and clients to explain findings and recommend remediation strategies Research and develop new tools, techniques, and testing methodologies to improve assessment quality Support consulting operations through documentation, reporting, and engagement-related administrative tasks Required Qualifications 2-3+ years of experience conducting application or mobile penetration testing Hands-on experience with offensive security tools such as: Kali Linux, Burp Suite, Metasploit, Nessus Mobile-focused tools including Frida, Drozer, Objection, and Ghidra Solid understanding of mobile data security, encryption, and secure communications Strong working knowledge of Android and iOS operating systems Familiarity with common offensive and defensive security concepts and network protocols Deep understanding of the OWASP Top 10 and relevant security frameworks Working knowledge of Windows, Linux, and macOS internals Ability to work independently while collaborating effectively within a team Strong written and verbal communication skills Willingness to travel up to 5-10% Ability to support an 8-hour workday, with occasional evenings or weekends as required by project timelines Preferred Experience Mentoring or coaching junior team members Sharing security knowledge through blogs, webinars, or conference presentations Experience with Scripting or programming languages such as Python, Ruby, Perl, Java, C/C++, or C# Industry-recognized offensive security certifications (eg, OSCP, GPEN, GXPN, GWAPT, CISSP) Experience with ARM reverse engineering Development of Frida scripts or tools to bypass protections or exploit mobile application vulnerabilities This is a fully remote positon within the UK If interested please do apply!

Rate: £560 per day (Inside IR35) Location: Telford (Hybrid: 2 days per week on-site) Security: Active SC Clearance Required Duration: 6 months (April 2026 delivery milestone) The Project: Join a newly established Agile Scrum team within a major Government Digital Hub . You will lead the data design for a high-priority "Risk & Intelligence" platform. The goal is to migrate and automate complex data flows from a Legacy on-premise estate into a cutting-edge AI-powered analytics environment. Core Responsibilities: System Migration: Design the blueprints to move data from a large-scale Oracle Enterprise environment into SAS Viya 3.5 . Risk Modelling: Build the data architecture for Real Time risking engines using SAS RTENG and SAS Studio V . Integration: Implement automated ingestion pipelines using approved Enterprise Architecture (EA) integration patterns. Governance: Manage metadata and data dictionaries (using MS Purview ) to ensure compliance with strict security and decommissioning policies. Technical Requirements: SAS Stack: Strong proficiency in SAS Viya 3.5, RTENG, and Enterprise Guide. Oracle: Extensive experience reverse-engineering data models from complex, multi-source Oracle databases. Data Design: Ability to profile 20+ disparate data sources and create scalable, unified schemas. DDaT: Familiarity with the Government Digital & Data (DDaT) framework at "Working" or "Practitioner" level.

Data Centre Design Engineer - Lead / Consulting Inside IR35 Long-term Contract 50% Remote 50% European Travel (Expensed) IT Services Provider We are seeking an experienced Data Centre Design Engineer to join a major IT Services provider in a lead, design-assurance role supporting large-scale European data centre programmes. This is not a pure build role. You'll act as a technical authority, reviewing designs, shaping delivery plans, and overseeing implementation across complex, enterprise environments. Key Responsibilities Review and approve data centre designs (new build and expansion) Act as lead technical engineer / design authority Develop high-level delivery and implementation plans Provide technical governance throughout the project lifecycle Oversee implementation and resolve design or delivery risks Engage with internal teams, vendors, and customer stakeholders Support design sign-off and senior technical discussions Required Experience Strong experience delivering large-scale data centre deployments Proven data centre design background (compute, storage, network, power, cooling) Experience operating as a lead engineer or technical authority Able to translate designs into practical delivery plans Comfortable overseeing delivery rather than day-to-day build Willing to travel across Europe (approx. 50%) Desirable Exposure to AI / HPC data centre environments (e.g. GPU-dense, NVIDIA platforms) Experience with high-density, high-power DC designs Background working for an IT services provider or systems integrator Contract Details Inside IR35 Long-term contract potential 50% remote / 50% European travel (fully expensed) Competitive day rate (experience dependent) Apply now to discuss the role in more detail. ECS Resource Group are an Equal Opportunity Employer, for more information please click the following link: (url removed) In accordance with the Equality Act 2010, if you require an alternative form of application please click the following link: Flexible Application Process - (url removed)/work/flexible-application-process

Sales Applications Engineer Job Purpose: Represent the company in a professional manner to internal and external stakeholders. Support the development and delivery of projects, including the sale of technical equipment and associated long-term service agreements, with a focus on maintaining commercial viability. Provide timely technical and commercial assistance to customers and the wider sales team. Act as a key point of contact for coordinating project-related communications between clients, internal departments, subcontractors, and other relevant parties. Prepare and submit budgets, quotations, and tenders aligned with client expectations and business goals. Identify, document, and manage project risks, including pricing mitigation strategies where required. Main Responsibilities: Supply clients or representatives with technical and commercial information related to the company's products and services. Conduct initial evaluations of potential projects with sales personnel to assess suitability and define sales strategies. Prepare detailed technical and commercial documentation for use in budget proposals and formal quotations. Manage project costing by gathering necessary data from internal teams or external suppliers, including cash flow projections and equipment specifications. Maintain direct communication with clients to address inquiries or requests related to proposals. This may involve attending client meetings or adjusting scope and specifications based on feedback. Lead the identification and management of project-related risks, and participate in risk review sessions to ensure alignment with broader business objectives. Visit customer sites to assess project requirements, including site layout, installation considerations, and logistical constraints. Prepare contract documentation, reviewing legal and commercial terms to ensure compliance with client and company expectations. Upon project confirmation, compile relevant handover documentation and participate in internal project briefings to ensure a smooth transition to the delivery team, providing context on project background and deliverables. Salary - 40-60k DOE Nine Day Working Fortnight Office based with occasional travel

AWS Engineer / Lambda / DynamoDB / Terraform / IAC / Permanent / Remote / West Midlands / £50,000 - £60,000 The Role We're hiring a Mid-Senior AWS Engineer to play a critical role in our client's product roadmap. This is a fully backend-focused position, dedicated to rebuilding a core platform with scalability, performance and clean architecture at its heart. You'll work closely with the Head of Engineering and be trusted to take ownership, contribute ideas and help shape how the platform is built from day one. This is a key hire for the business which will help them progress as an organisation. What You'll Be Doing Designing and building backend services for a new platform Developing serverless solutions using AWS (Lambda, DynamoDB, etc.) Implementing and maintaining Infrastructure as Code using Terraform Working with architects to ensure best-practice system design Ensuring services are scalable, secure and production-ready Collaborating closely with engineering leadership on how the platform fits together end-to-end Taking ownership and proactively contributing ideas and improvements Tech Stack & Experience Required Essential: Strong experience with AWS, particularly serverless architectures Hands-on experience with AWS Lambda and DynamoDB Proven use of Terraform (or strong IaC experience) Solid backend engineering experience Strong understanding of databases and data modelling Ability to work independently and pick things up quickly Nice to Have: Experience rebuilding or modernising legacy systems Exposure to DevOps practices and cloud architecture decisions

Apex Resources limited are on the lookout for a Machine Learning Engineer (Agentic AI) in Glasgow for a hybrid role. A leading Glasgow-based AI firm is building next-generation agentic AI products that automate complex tax and finance workflows for UK accountancy firms and in-house finance teams. The platform leverages large language models and intelligent orchestration to remove repetitive work and free specialists to focus on higher-value advice. The role You will join a small, high-calibre engineering team as an AI Developer, working on the core agentic AI platform for tax and finance automation. Day-to-day, you will design, build and ship production-grade features across the AI orchestration, reasoning and integration layers. Typical work includes: Designing and implementing agentic AI workflows that coordinate LLMs, tools and reasoning engines to handle end-to-end finance and tax processes. Building robust back-end services and APIs to support document ingestion, data extraction, multi-step reasoning and autonomous execution. Working with modern LLM tooling (advanced prompting, retrieval-augmented generation, tool calling, evaluation frameworks) to optimise accuracy, latency and reliability for real client workloads. Collaborating with product managers, domain SMEs (tax and finance) and fellow AI engineers to deliver features from concept through to production. Contributing to code quality, observability and secure engineering practices in a regulated, data-sensitive environment. Our tech stack You do not need experience with everything below, but you should be strong in several and able to learn the rest quickly. Languages: Python (core), plus exposure to TypeScript/JavaScript helpful for front-end integrations. AI & data: LLMs (OpenAI/Anthropic-style APIs), vector databases/RAG, agent frameworks, basic MLOps for deploying and monitoring AI systems in production. Orchestration: Workflow engines, event-driven architectures, multi-agent coordination systems. Cloud & infra: Azure or AWS, containerised services (Docker/Kubernetes), CI/CD pipelines and modern DevOps practices. Platform integrations: Connecting agentic AI to third-party tax/finance systems and APIs within customers existing tech stacks. What we re looking for Essential: 2+ years post-graduate experience as a Software Engineer / AI Engineer / ML Engineer working on production AI systems. Strong software engineering fundamentals: clean code, testing, version control and debugging in Python or similar. A Master s degree (or above) in Computer Science, Mathematics, AI/ML, Data Science, or a closely related discipline from a top-tier university. Demonstrable experience with applied AI/ML or LLM-based systems (projects, internships, or commercial work), not just academic exposure. Comfort working in a fast-moving, small-team environment where you take ownership from idea through to production release. Nice to have: Experience building agentic AI systems (tool-calling, multi-step planning, self-improvement loops) or autonomous agents. Knowledge of advanced agentic patterns and concepts like Model Context Protocol or similar orchestration standards. Exposure to financial, tax or accounting data and the nuances of working in regulated or data-sensitive environments. Why join? Direct impact: Ship agentic AI that immediately removes hours of manual work for tax and finance teams every day. Cutting-edge AI: Work at the forefront of agentic AI and enterprise-grade autonomous systems, delivering beyond proof-of-concepts. High-calibre team: Join experienced AI engineers shaping the future of finance automation with production-grade agentic technology. Growth opportunity: Be part of a scaling AI product business with room to shape technical direction and best practices. How to apply Send your CV to Chris at Apex Resources or call on (phone number removed)

Our dynamic global maritime client is looking for a Pre-Sales Manager to join them on a permanent basis. Reporting to the Head of Pre-Sales, the Pre-Sales Manager will play a pivotal support role in the ongoing success and expansion of our client s maritime safety and sustainability solutions. You will play a lead role in solution design and client engagement, our client s solutions are strategically aligned with customer requirements. This role bridges commercial, product, and technical functions by owning discovery processes, shaping solution proposals, and mentoring peers. This is a high-exposure role that involves interacting with major global shipping companies, charterers, regulators, and port authorities, contributing to solutions that address complex safety, compliance, and environmental requirements in the maritime sector. THE SUCCESSFUL APPLICANT 10 - 12 years in the maritime industry with particular focus on implementing digital and software solutions Deep domain expertise in maritime operations, fleet management, compliance, or port logistics Strong presentation, negotiation, and stakeholder management skills across senior organizational levels Experience with maritime digital transformation initiatives (e.g., Smart Shipping, Decarbonization, Autonomous Vessels) Familiarity with SaaS, integrations, and maritime compliance frameworks and knowledge of major CRM systems Familiarity with data analytics platforms, voyage optimization, emissions tracking, or IoT solutions Multilingual skills advantageous Bachelor s or Master s degree in Maritime Studies, Engineering, Computer Science, Business, or related fields Track record leading pre-sales efforts for enterprise-scale software solutions is desired JOB DESCRIPTION Identify potential customers by obtaining information, referrals, and recommendations from existing customers and other contacts and/or through participation in trade shows and conferences Conduct discovery calls and workshops with customer stakeholders; document requirements and business outcomes Translate customer needs into standard or tailored solution outlines, data flows and integration notes; coordinate inputs from internal SMEs Prepare RFP/RFI content, schedules and solution narratives; contribute to, but do not own, bid strategy Deliver persuasive product demos and targeted presentations addressing customer pain points; capture objections and mitigation actions Maintain competitive feature matrices and assist with win/loss insights for regional teams Provide inputs to Product and Business Development, representing the voice of the customer Resolve complex pre-sales queries by applying policy/process knowledge; escalate exceptions where policy interpretation is required Track customer feedback and support continuous improvement in demo assets, proposal templates and discovery checklists Contribute insights on industry trends such as maritime regulations (IMO, SOLAS, MARPOL), sustainability frameworks (EEXI, CII), decarbonization and digitalization to shape solution direction REMUNERATION PACKAGE ON OFFER Competitive Salary and Generous Benefits Package.

Data & AI Senior Consultants Location - We are flexible: onsite, hybrid or fully remote, depending on what works for you and the client, UK or Netherlands based. What you will actually be doing This is not a role where you build clever models that never get used. Your focus is on creating measurable value for clients using data science, machine learning and GenAI, in a consulting and advisory context. You will own work from the very beginning, asking questions like "What value are we trying to create here?" and "Is this the right problem to solve?" through to "It is live, stakeholders are using it and we can see the impact in the numbers." You will work fairly independently and you will also be someone that more junior team members look to for help and direction. A big part of the job is taking messy, ambiguous business and technical problems and turning them into clear, valuable solutions that make sense to the client. You will do this in a client facing role. That means you will be in the room for key conversations, providing honest advice, managing expectations and helping clients make good decisions about where and how to use AI. What your day to day might look like Getting to the heart of the problem Meeting with stakeholders who may not be clear on what they really need Using discovery sessions, workshops and structured questioning to uncover the real business problem Framing success in terms of value. For example higher revenue, lower cost, reduced risk, increased efficiency or better customer experience Translating business goals into a clear roadmap of data and AI work that everyone can understand Advising clients when AI is not the right solution and suggesting simpler or more cost effective alternatives Consulting and advisory work Acting as a trusted advisor to product owners, heads of department and executives Helping clients prioritise use cases based on value, feasibility and risk Communicating trade offs in a simple way. For example accuracy versus speed, innovation versus compliance, cost versus impact Preparing and delivering client presentations, proposals and updates that tell a clear story Supporting pre sales activities where needed, such as scoping work, estimating effort and defining outcomes Managing client expectations, risks and dependencies so there are no surprises Building things that actually work Once the problem and value are clear, you will design and deliver production ready ML and GenAI solutions. That includes: Designing and building data pipelines, batch or streaming, that support the desired outcomes Working with engineers and architects so your work fits cleanly into existing systems Making sure what you build is reliable in production and moves the needle on agreed metrics, not just offline benchmarks Explaining design decisions to both technical and non technical stakeholders GenAI work You will work with GenAI in ways that are grounded in real use cases and business value: Building RAG systems that improve search, content discovery or productivity rather than existing for their own sake Implementing guardrails so models do not leak PII or generate harmful or off brand content Defining and tracking the right metrics so you and the client can see whether a GenAI solution is useful and cost effective Fine tuning and optimising models so they perform well for the use case and budget Designing agentic workflows where they genuinely improve outcomes rather than add complexity Helping clients understand what GenAI can and cannot do in practice Keeping it running You will set up the foundations that protect value over time: Experiment tracking and model versioning so you know what works and can roll back safely CI/CD pipelines for ML so improvements reach users quickly and reliably Monitoring and alerting for models and data so you can catch issues before they damage trust or results Communicating operational risks and mitigations to non technical stakeholders in plain language Security, quality and compliance You will help make sure: Data is accurate, traceable and well managed so decisions are sound Sensitive data is handled correctly, protecting users and the business Regulatory and compliance requirements are met, avoiding costly mistakes Clients understand the risk profile of AI solutions and the controls in place Working with people You will be a bridge between technical and non technical teams, inside our organisation and on the client side. That means: Explaining complex ML and GenAI ideas in plain language, always tied to business outcomes Working closely with product managers, engineers and business stakeholders to prioritise work that matters Facilitating workshops, playback sessions and show and tells that build buy in and understanding Coaching and supporting junior colleagues so the whole team can deliver more value Representing the company professionally in client meetings and at industry events What we are looking for Experience Around 3 to 6 years of experience shipping ML or GenAI solutions into production A track record of seeing projects through from discovery to delivery, with clear impact Experience working directly with stakeholders or clients in a consulting, advisory or product facing role Education A Bachelor or Master degree in a quantitative field such as Computer Science, Data Science, Statistics, Mathematics or Engineering or Equivalent experience that shows you can deliver results Technical skills Core skills Strong Python and SQL, with clean, maintainable code Solid understanding of ML fundamentals. For example feature engineering, model selection, handling imbalanced data, choosing and interpreting metrics Experience with PyTorch or TensorFlow GenAI specific Hands on experience with LLM APIs or open source models such as Llama or Mistral Experience building RAG systems with vector databases such as FAISS, Pinecone or Weaviate Ability to evaluate and improve prompts and retrieval quality using clear metrics Understanding of safety practices such as PII redaction and content filtering Exposure to agentic frameworks Cloud and infrastructure Comfortable working in at least one major cloud provider. AWS, GCP or Azure Familiar with Docker and CI/CD pipelines Experience with managed ML platforms such as SageMaker, Vertex AI or Azure ML Data engineering and MLOps Experience with data warehouses such as Snowflake, BigQuery or Redshift Workflow orchestration using tools like Airflow or Dagster Experience with MLOps tools such as MLflow, Weights and Biases or similar Awareness of data and model drift, and how to monitor and respond to it before it erodes value Soft skills, the things that really matter You are comfortable in client facing settings and can build trust quickly You can talk with anyone from a CEO to a new data analyst, and always bring the conversation back to business value You can take a vague, messy business problem and turn it into a clear technical plan that links to outcomes and metrics You are happy to push back and challenge assumptions respectfully when it is in the client's best interest You like helping other people grow and are happy to mentor junior colleagues You communicate clearly in writing and in person Nice to have, not required Do not rule yourself out if you do not have these. They are a bonus, not a checklist. Experience with Delta Lake, Iceberg, Spark or Databricks, Palantir Experience optimising LLM serving with tools such as vLLM, TGI or TensorRT LLM Search and ranking experience. For example Elasticsearch or rerankers Background in time series forecasting, causal inference, recommender systems or optimisation Experience managing cloud costs and IAM so value is not lost to waste Ability to work in other languages where needed. For example Java, Scala, Go or bash Experience with BI tools such as Looker or Tableau Prior consulting experience or leading client projects end to end Contributions to open source, conference talks or published papers that show your ability to share ideas and influence the wider community Got a background that fits and you're up for a new challenge? Send over your latest CV, expectations and availability. Staffworx Limited is a UK based recruitment consultancy partnering with leading global brands across digital, AI, software, and business consulting. Let's talk about what you could add to the mix.

Senior C++ Software Engineer New C++ contract role working on a greenfield project for a client within the financial domain. Healthy rate for this one and 2 days a week in the office. What you will be doing: As a Senior C++ Software Engineer, you will be involved in: Analysis of user requirements and translation into solution design Estimating and breaking down tasks into manageable chunks Implementation of new features and feature enhancements Leading code reviews and enforcing best practice within a small, agile, focused team What you will need: Extensive commercial software development experience using C++ Unix/Linux experience Relevant degree in a numeric discipline, or equivalent work experience Excellent written and spoken English By applying to this job you are sending us your CV, which may contain personal information. Please refer to our Privacy Notice to understand how we process this information. In short, in order to supply you with work finding services, we will hold and process your personal data, and only with your express permission we will share this personal data with a client (or a third party working on behalf of the client) by email or by upload to the Client/third parties vendor management system. By giving us permission to send your CV to a client, this constitutes permission to share the personal data that would be necessary to consider your application, interview you (Phone/video/face to face) and if successful hire you. Scope AT acts as an employment agency for Permanent Recruitment and an employment business for the supply of temporary workers. By applying for this job you accept the Terms and Conditions, Data Protection Policy, Privacy Notice and Disclaimers which can be found at our website.

Lead Data Engineer Lead Data Engineer required to join my Client's Technology Team and contribute to their Group Architecture Board in building the next generation of their eCommerce data platform. You will play a pivotal role in designing and maintaining a modern, cloud-based data architecture. Working closely with product, technology, and wider business stakeholders, you will be crucial in developing scalable data pipelines, improving reliability, and enabling smarter, data-driven insights and decisions. You will have a direct voice in how we design, build, and evolve our platform and the technologies we adopt! We are looking for a pragmatic, innovative, and self-motivated problem solver who delivers results through collaboration and technical excellence. Data Architecture Specialist: Design and develop robust data models, ETL/ELT processes, and data marts that support complex analytics and operational use cases. Pipeline Optimization: Maintain and optimize data pipelines and warehouse environments to ensure top-tier performance, reliability, and scalability. Cross-Functional Collaboration: Effectively collaborate with cross-functional teams to translate business and technical requirements into high-quality, robust data solutions. Data Quality Ownership: Perform deep data analysis to validate assumptions, identify issues, and own data quality, consistency, and accuracy end-to-end. Best Practices Champion: Confidently promote best practices for data engineering, governance, and platform reliability within a modern cloud-based architecture. You will need to have skills and experience in the following: Cloud Data Architecture: Strong knowledge of modern, cloud-based data architecture and tooling (eg, S3, Glue, Redshift, Athena, Lake Formation, Iceberg/Delta). AWS Platform Build: Demonstrable experience designing and building modern data platforms in AWS. ETL/Orchestration Expertise: Expertise in ETL/ELT design and data orchestration, specifically with Apache Airflow. SQL Mastery: Strong SQL skills with significant experience in query tuning and performance optimisation. Programming Proficiency: Proficiency in Python and Bash (for data processing, Scripting, and automation). Data Streaming: Familiarity with streaming data technologies (eg, Kinesis, Kafka, or similar). DevOps Principles: Experience with version control (git) and CI/CD for data pipelines. BI/Visualisation: Familiarity with BI and visualisation tools such as Tableau, QuickSight, or similar. Data Governance Tools: Experience with data cataloguing, metadata management, and data lineage tools. Contextual Understanding: Passionate about data quality, governance, and understanding the business context behind the data. This role is London-based and operates on a hybrid working model, requiring 2 to 3 days per week in the office. The compensation package offers a salary up to £100k plus a performance bonus and a comprehensive benefits package. London (Hybrid) To £100k plus bonus

We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. Join us to rethink how sports are experienced. Our AI-driven platform powers immersive, personalised live sports-giving fans control, fresh perspectives, and predictive insights during the action. As a Lead Machine Learning Engineer , you'll shape the technical strategy and delivery of production ML systems that transform raw sports data and live video into real-time insights and personalised experiences for millions of fans. What you'll do: You'll be the technical lead for a critical ML domain (e.g., live sports insights and personalisation , real-time ranking, computer vision for multi-angle video, or streaming inference). Expect to influence roadmaps, architecture, and platform evolution-not just single models-while mentoring engineers and data scientists and raising the bar across teams. Lead the end-to-end development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams. Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment. Integrate model driven insights into personalisation engines, tailoring recommendations based on favourite teams, players, match context, and other signals while ensuring transparency, fairness, and appropriate use of data. Define advanced experimental designs, lead A/B testing, develop and maintain metrics and dashboards, establish robust MLOps practices, and own end-to-end productionisation from data ingestion through deployment and ongoing model monitoring. Design, architect, and operate low l atency , highly reliable cloud b ased AI systems for live sports scenarios, ensuring resilient performance during peak traffic, responsible model behaviour in real time, and an optimal balance between cost, latency, and production scale performance. What you'll bring Proven extensive lead level engineering experience delivering sports insights or sports data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery. Deep understanding of sports data, including hands-on experience working with event data, tracking data, or other high-volume sports datasets, and converting these into actionable analytical or predictive insights. Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multi modal sports data (e.g., numerical, spatial, video, or metadata). Advanced Python expertise with strong hands-on use of ML/DL frameworks (e.g., PyTorch , TensorFlow), including taking models from experimentation into production model serving. End-to-end MLOps experience, including CI/CD for ML, experiment tracking, model registries, drift detection, automated retraining, and infrastructure as code practices. Proven technical leadership experience including mentoring and guiding Senior and Mid-Level Data Scientists both in their day-to-day work and career development. Experience of working in a fast-changing environment is vital demonstrating adaptability and ability to support the team through times of uncertainty, pivoting as necessary. Experience designing scalable, low l atency architectures, including real time or near real time data processing (e.g., streaming systems) suitable for live or rapidly evolving sports use cases. Strong communication skills with the ability to inspire, guide, and clearly articulate complex strategies to executives, cross-functional teams, and stakeholders. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.

We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. Join us to rethink how sports are experienced. Our AI-driven platform powers immersive, personalised live sports-giving fans control, fresh perspectives, and predictive insights during the action. As a Lead Machine Learning Engineer , you'll shape the technical strategy and delivery of production ML systems that transform raw sports data and live video into real-time insights and personalised experiences for millions of fans. What you'll do: You'll be the technical lead for a critical ML domain (e.g., live sports insights and personalisation , real-time ranking, computer vision for multi-angle video, or streaming inference). Expect to influence roadmaps, architecture, and platform evolution-not just single models-while mentoring engineers and data scientists and raising the bar across teams. Lead the end-to-end development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams. Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment. Integrate model driven insights into personalisation engines, tailoring recommendations based on favourite teams, players, match context, and other signals while ensuring transparency, fairness, and appropriate use of data. Define advanced experimental designs, lead A/B testing, develop and maintain metrics and dashboards, establish robust MLOps practices, and own end-to-end productionisation from data ingestion through deployment and ongoing model monitoring. Design, architect, and operate low l atency , highly reliable cloud b ased AI systems for live sports scenarios, ensuring resilient performance during peak traffic, responsible model behaviour in real time, and an optimal balance between cost, latency, and production scale performance. What you'll bring Proven extensive lead level engineering experience delivering sports insights or sports data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery. Deep understanding of sports data, including hands-on experience working with event data, tracking data, or other high-volume sports datasets, and converting these into actionable analytical or predictive insights. Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multi modal sports data (e.g., numerical, spatial, video, or metadata). Advanced Python expertise with strong hands-on use of ML/DL frameworks (e.g., PyTorch , TensorFlow), including taking models from experimentation into production model serving. End-to-end MLOps experience, including CI/CD for ML, experiment tracking, model registries, drift detection, automated retraining, and infrastructure as code practices. Proven technical leadership experience including mentoring and guiding Senior and Mid-Level Data Scientists both in their day-to-day work and career development. Experience of working in a fast-changing environment is vital demonstrating adaptability and ability to support the team through times of uncertainty, pivoting as necessary. Experience designing scalable, low l atency architectures, including real time or near real time data processing (e.g., streaming systems) suitable for live or rapidly evolving sports use cases. Strong communication skills with the ability to inspire, guide, and clearly articulate complex strategies to executives, cross-functional teams, and stakeholders. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.

We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. Join us to rethink how sports are experienced. Our AI-driven platform powers immersive, personalised live sports-giving fans control, fresh perspectives, and predictive insights during the action. As a Lead Machine Learning Engineer , you'll shape the technical strategy and delivery of production ML systems that transform raw sports data and live video into real-time insights and personalised experiences for millions of fans. What you'll do: You'll be the technical lead for a critical ML domain (e.g., live sports insights and personalisation , real-time ranking, computer vision for multi-angle video, or streaming inference). Expect to influence roadmaps, architecture, and platform evolution-not just single models-while mentoring engineers and data scientists and raising the bar across teams. Lead the end-to-end development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams. Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment. Integrate model driven insights into personalisation engines, tailoring recommendations based on favourite teams, players, match context, and other signals while ensuring transparency, fairness, and appropriate use of data. Define advanced experimental designs, lead A/B testing, develop and maintain metrics and dashboards, establish robust MLOps practices, and own end-to-end productionisation from data ingestion through deployment and ongoing model monitoring. Design, architect, and operate low l atency , highly reliable cloud b ased AI systems for live sports scenarios, ensuring resilient performance during peak traffic, responsible model behaviour in real time, and an optimal balance between cost, latency, and production scale performance. What you'll bring Proven extensive lead level engineering experience delivering sports insights or sports data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery. Deep understanding of sports data, including hands-on experience working with event data, tracking data, or other high-volume sports datasets, and converting these into actionable analytical or predictive insights. Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multi modal sports data (e.g., numerical, spatial, video, or metadata). Advanced Python expertise with strong hands-on use of ML/DL frameworks (e.g., PyTorch , TensorFlow), including taking models from experimentation into production model serving. End-to-end MLOps experience, including CI/CD for ML, experiment tracking, model registries, drift detection, automated retraining, and infrastructure as code practices. Proven technical leadership experience including mentoring and guiding Senior and Mid-Level Data Scientists both in their day-to-day work and career development. Experience of working in a fast-changing environment is vital demonstrating adaptability and ability to support the team through times of uncertainty, pivoting as necessary. Experience designing scalable, low l atency architectures, including real time or near real time data processing (e.g., streaming systems) suitable for live or rapidly evolving sports use cases. Strong communication skills with the ability to inspire, guide, and clearly articulate complex strategies to executives, cross-functional teams, and stakeholders. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.

We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. Join us to rethink how sports are experienced. Our AI-driven platform powers immersive, personalised live sports-giving fans control, fresh perspectives, and predictive insights during the action. As a Lead Machine Learning Engineer , you'll shape the technical strategy and delivery of production ML systems that transform raw sports data and live video into real-time insights and personalised experiences for millions of fans. What you'll do: You'll be the technical lead for a critical ML domain (e.g., live sports insights and personalisation , real-time ranking, computer vision for multi-angle video, or streaming inference). Expect to influence roadmaps, architecture, and platform evolution-not just single models-while mentoring engineers and data scientists and raising the bar across teams. Lead the end-to-end development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams. Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment. Integrate model driven insights into personalisation engines, tailoring recommendations based on favourite teams, players, match context, and other signals while ensuring transparency, fairness, and appropriate use of data. Define advanced experimental designs, lead A/B testing, develop and maintain metrics and dashboards, establish robust MLOps practices, and own end-to-end productionisation from data ingestion through deployment and ongoing model monitoring. Design, architect, and operate low l atency , highly reliable cloud b ased AI systems for live sports scenarios, ensuring resilient performance during peak traffic, responsible model behaviour in real time, and an optimal balance between cost, latency, and production scale performance. What you'll bring Proven extensive lead level engineering experience delivering sports insights or sports data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery. Deep understanding of sports data, including hands-on experience working with event data, tracking data, or other high-volume sports datasets, and converting these into actionable analytical or predictive insights. Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multi modal sports data (e.g., numerical, spatial, video, or metadata). Advanced Python expertise with strong hands-on use of ML/DL frameworks (e.g., PyTorch , TensorFlow), including taking models from experimentation into production model serving. End-to-end MLOps experience, including CI/CD for ML, experiment tracking, model registries, drift detection, automated retraining, and infrastructure as code practices. Proven technical leadership experience including mentoring and guiding Senior and Mid-Level Data Scientists both in their day-to-day work and career development. Experience of working in a fast-changing environment is vital demonstrating adaptability and ability to support the team through times of uncertainty, pivoting as necessary. Experience designing scalable, low l atency architectures, including real time or near real time data processing (e.g., streaming systems) suitable for live or rapidly evolving sports use cases. Strong communication skills with the ability to inspire, guide, and clearly articulate complex strategies to executives, cross-functional teams, and stakeholders. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.