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Associate Director, IT Infrastructure
AskBio Edinburgh, UK
18/11/2025
Full time
Position Summary We're seeking an Associate Director, IT Infrastructure to lead and transform our scientific computing environment in support of our cutting-edge gene therapy research. This senior leadership position will drive the strategy and execution of research computing initiatives, working in close partnership with our Bioinformatics, AI/ML, and Global IT Infrastructure teams. The role focuses specifically on advancing our scientific computing capabilities through operational excellence, while ensuring our research teams can maximize the value of our high-performance computing investments.   As a key member of the technology leadership team, this position will be responsible for the day-to-day operations and strategic evolution of our research computing environment. The successful candidate will combine deep technical expertise in scientific computing with strong business acumen to deliver innovative solutions that accelerate our research mission. While Global IT Infrastructure maintains our enterprise technology foundation, this role focuses exclusively on the specialized computing needs of our scientific teams, including high-performance computing, GPU-accelerated workflows, and research data management.   Job Responsibilities Serve as the primary local IT Infrastructure contact for Edinburgh's Bioinformatics and AI/ML teams Manage and optimize scientific computing infrastructure, including GPU clusters, high-performance storage systems, and virtualized environments Collaborate with global IT teams to ensure infrastructure alignment with scientific computing needs Lead technical planning and implementation of infrastructure improvements Provide technical guidance on architecture decisions affecting scientific workflows Manage and optimize WEKA storage systems and VSphere virtual environments Support Linux-based scientific computing environments, leveraging managed services as appropriate Implement and maintain monitoring solutions for complex computing environments Participate in capacity planning and performance optimization initiatives Drive infrastructure automation and continuous improvement Manage relationships with vendors and technical partners   Vendor & Contract Management: Manage third-party Linux support contract and contractor relationships Define and monitor service level agreements Ensure contractor compliance with company security policies Review and approve contractor work Manage vendor performance and escalations   Security & Compliance: Act as primary point of contact for parent company security audits Develop and maintain security compliance documentation Coordinate and respond to penetration testing activities Implement security recommendations and remediation plans Ensure infrastructure meets corporate security standards Participate in security incident response planning   Business Continuity: Lead disaster recovery planning for scientific computing infrastructure Coordinate and execute DR testing Maintain DR documentation and procedures Develop and maintain business continuity plans Ensure RPO/RTO objectives are met   Financial Planning & Technical Debt: Develop long-term capital planning for infrastructure Manage infrastructure budget and forecasting for AskBio European locations Identify and track technical debt Create remediation plans for technical debt Provide cost-benefit analysis for infrastructure investments Manage infrastructure lifecycle planning Develop business cases for infrastructure improvements    Key Competencies:   Technical: Infrastructure architecture and design Performance optimization Problem-solving and troubleshooting Security best practices Technical documentation   Business & Management: Contract negotiation and management Budget planning and control Risk management Audit response and compliance Strategic planning Vendor management Cost-benefit analysis   Interpersonal: Strong communication skills Stakeholder management Team collaboration Conflict resolution Customer service orientation Ability to bridge technical and scientific domains   Leadership: Technical leadership Project management Mentoring and knowledge transfer Change management Strategic thinking   Impact Metrics: Success in this role will be measured by: Infrastructure stability and performance improvements Stakeholder satisfaction levels Project delivery effectiveness Technical problem resolution metrics Team collaboration effectiveness Innovation and process improvements   Note: This position requires occasional travel to other company locations and may require some out-of-hours support during critical maintenance windows or emergencies.   This role represents a critical position in our organization, bridging technical expertise with scientific computing needs while fostering strong working relationships between global teams.   ​Minimum Requirements Bachelor's degree in Computer Science, Engineering, or related field 8+ years of experience in infrastructure engineering roles Experience with high-performance computing environments Proven experience supporting GPU-accelerated computing environments Strong understanding of storage systems and networking Experience with infrastructure monitoring and optimization tools Demonstrated ability to work with scientific computing workflows Experience managing vendor relationships and contracts Knowledge of IT security and compliance requirements Experience with disaster recovery planning and testing Understanding of IT financial planning and budgeting Experience with audit responses and compliance documentation Strong experience with Linux administration and engineering Extensive knowledge of virtualization technologies, particularly VSphere   Preferred Education, Experience and Skills Experience with WEKA storage systems Knowledge of AI/ML infrastructure requirements Experience supporting bioinformatics workflows Familiarity with container technologies (Docker, Kubernetes) Experience with infrastructure automation tools Understanding of scientific computing software and frameworks Previous experience in biotech or pharmaceutical industries Experience with cloud platforms (AWS, Azure) ITIL certification Security certifications (CISSP, CISM, or similar) Experience with GxP compliance Experience with pharmaceutical industry regulations Previous experience managing technical debt in regulated environments
Web Developer (.NET)
Pense Ltd
12/11/2025
Full time
Role and Responsibilities This is an excellent opportunity for a capable web developer who enjoys owning features end-to-end in a modern, forward-thinking financial services business. We have our own proprietary applications, both back-office solutions as well as client facing. You will work on multiple projects including continuing to enhance our own CRM solution, migrating legacy WebForms functionality to clean services and a modern UI. You’ll work in a fast-paced, dynamic environment; you will not be a “cog in the machine.” You’ll be involved in every aspect of delivery - from requirements and design, to development, testing, deployment, documentation, and support, with a strong focus on scalability and maintainability. We are an extremely fast-growing business and as such, you will be required to adapt quickly to changes and business requirements. You must have a willingness to learn and adapt quickly in order to satisfy changes to business requirements. The job role will consist of the below responsibilities: Development CRM (WebForms/.NET/TSQL/BPM): Configure and extend our proprietary CRM using TSQL, BPM/workflow tools and C# Modernisation: Incremental modernisation of legacy applications using strangler pattern Client facing applications: Develop our customer self service portal and other front-end applications utilising React/Typescript and .NET 9 Web API Azure implementation: Assist in administering our cloud infrastructure (App Service/Functions, Azure SQL, Storage, Key Vault with Managed Identity, App Configuration, Private Endpoints, Application Insights) Quality/pipelines: Contribute to and set up CI/CD pipelines, unit/integration tests where required Testing: Conduct thorough testing and peer review of work items Data Analysis (SQL Server/TSQL) Write performance conscious, SARGable queries and implement appropriate indexing Monitor and apply performance fixes and other DB management tasks in Azure SQL Server hosted DB Technical Documentation Produce documentation for requirement gathering, code architecture and training guides Contribute to due diligence and penetration test readiness packs (architecture diagrams, data flows and controls) Support Triage and resolve support tickets relating to in-house applications from employees Support customer facing applications and address incidents utilising Azure Application Insights and application logs to identify and resolve issues Requirement Gathering: Communicate with stakeholders to establish clear problem statements and requirements Translate requirements into technical solutions with a focus on extendibility and minimising technical debt, considering future changes Accountability and Working Relationships Part of a small, highly motivated and productive development team Partners closely with CTO (hands on) Collaborates and in direct communication with operations, advice, compliance and administration teams to deliver appropriate solutions Accountable for delivering projects on time and to specification Working Environment and Hours: Office based in Doncaster (remote working can be available on occasions where required, however office based is preferred) Monday to Friday, 09:00-17:30. Hours can be flexible within reason and to ensure delivery of key milestones Benefits Competitive salary (dependent on experience) 24 days annual leave (plus bank holidays) Pension scheme Can be very flexible on working hours dependent on requirements and ensuring delivery of key milestones Opportunity to own meaningful projects end-to-end in a growing, entrepreneurial business Big opportunity to learn new emerging technologies (particularly AI), while at work Skills – Essential C# .NET (6+): Dependency Injection, Web API Working knowledge and experience of legacy .NET Framework 4.x and WebForms Microsoft SQL Server: Strong T-SQL, SARGability and indexing, performance tuning mindset TypeScript/React: Component reusability, state management Auth and Security: Securing SPA/APIs using flows such as OAuth2/OIDC Microsoft Azure (hands-on): VMs, App Service, Functions/Logic Apps, Azure SQL, Storage, Key Vault (Managed Identity), App Configuration, Application Insights; basic networking/private endpoints/DNS concepts CI/CD: GitHub Actions/Azure DevOps; environment-aware configuration and secret management Skills – Desirable Firebase: authentication, hosting, functions, Firestore React Native and building mobile apps Exposure to Azure AI Foundry or other AI orchestration (prompting/evaluation/workflows) Experience migrating legacy codebases to modern architecture Using Entra ID for authentication (OAuth2 Flow) Azure infrastructure set up including VNET/Private endpoint and DNS management and setting up secure landing zones Twilio API Industry knowledge of Financial services particularly retirement and custodial platforms Knowledge and experience working with the Seccl API Development Path Candidates slightly lighter in one area (like React or Azure) but strong in WebForms + C# + SQL and motivated to learn will be considered, provided they can show understanding of fundamentals and are willing to learn quickly. Comfortable operating across legacy and modern stacks in the same day. Job Type: Full-time Benefits:   Company events Company pension Free parking On-site parking   Ability to commute/relocate:   Doncaster DN4 5NL: reliably commute or plan to relocate before starting work (preferred)   Work Location: In person
DaTS - Applications Support & Development Officer (Geospatial)
Walsall Council Walsall
04/06/2025
Full time
DaTS - Applications Support & Development Officer (Geospatial) Grade: G7; Salary Range: £32,654 - £37,035 pa# Full time, permanent Walsall Ref: RT01125   We are seeking a skilled Applications Support and Development Officer (Geospatial) – to join our team and help us design, develop, and maintain our geospatial data infrastructure. As a key member of the Geospatial Team, you will: Help the council to exploit the value in our GIS data holdings. Undertake significant projects which improve and combine data from back office and customer-facing systems. Make sure our data, and data shared by others is of the highest quality, highly available, usable, and shareable by rigorous standard setting and quality controls. Work with other members of the GIS team and the wider Council GIS community, to deliver geospatial analysis, support workflows in our corporate geospatial products and services, delivering continuous insight and value to our staff and residents Utilise the best of modern GIS and data technology platforms, including ongoing investigation and research into emerging technology. Support the Geospatial platforms of Walsall Council with skills associated with Software Development and Information Technology. What we are about We lead and support the creation of business data, manage the GIS architecture to ensure we provide, clean, reliable and reusable GIS data formats.  These in turn can then be aggregated to combine and enhance data from a variety of systems, creating data sets to drive insights and opportunities to improve performance, aid operational services, CRM and service delivery. By joining our GIS service, you will be working with a talented, supportive, and friendly team. For our part we will be committed to your professional development, developing your skills will be as important to us, as it is to you. You will receive a salary in the range of £32,654 - £37,035  per annum plus generous annual leave and flexitime leave allowance. Closing date for applications: 20 June 2025. For this role the successful candidates must undergo a Baseline Personnel Security Standard (BPSS) check.  BPSS is the minimum standard to ensure the identity and integrity of an employee who has access to official information using secure networks linking central government and local authorities.  A BPSS check involves four main elements; Identity Check, National and Immigration Status, Employment History (last 3 years) and Verification of Criminal Record (unspent convictions only). This post is covered by the Government’s Code of Practice on the English Language Fluency Duty for public sector workers.  The postholder will be required to communicate verbally with customers and provide advice and/or information in accurate spoken English. Important note: When completing your online application form, you will be asked to enter supporting information. You must enter a detailed supporting information statement describing how your skills, abilities and experience meet the specific criteria included in the employee specification. If you do not include a supporting information statement, you will not be shortlisted.  Please do not add a CV as we do not accept them.  Please see our Information for Applicants leaflet for further information. About Us Here at Walsall, we want to attract the best talent. That's why - as well as a satisfying and rewarding job - we offer a range of attractive benefits. Working arrangements in most jobs are flexible (you may work flexitime, full or part time and job sharing is usually available) and you can expect generous holiday entitlements, a first class pension scheme and plenty of opportunities for training and personal development. We advertise vacancies because we want the best talent available. If that's you, we're waiting for your application. Living in Walsall Part of the Black Country, famous for its enterprising and industrial past, Walsall is reinventing itself to become a progressive modern community. The borough is centred around the major town of Walsall, but also includes five smaller and distinctive district centres (Bloxwich, Aldridge, Willenhall, Darlaston and Brownhills), together with numerous villages. Walsall Council is committed to Safer Recruitment To achieve our commitment, we will ensure continuous development and improvement of robust recruitment processes and procedures that promote a culture of safeguarding amongst our workforce. Social Work Matters - Children's Social Worker Recruitment Some of our children require a special kind of support: yours. Visit our microsite to find out more about joining Walsall Council as a Children's Social Worker.
Senior Information Security Analyst
Acorn Insurance and Financial Services Limited Liverpool
25/04/2025
Full time
Due to a period of exciting growth Acorn are looking for a highly skilled and experienced Senior Information Security Analyst to join our Information Security Team. Within this role you get the opportunity to join a collaborative team and have a chance to blend GRC responsibilities with technical security experience, all whilst working for a market leading insurance company, supporting and maintaining robust security controls and regulatory compliance.   Job Title:  Senior Information Security Analyst (12 month FTC) Location:  Liverpool City Centre, Hybrid working available Working Hours:  Monday to Friday, 37.5 hours per week , 9:00 AM – 5:30 PM Salary:  £50,000 - £60,000 pa (DOE).   What you will be doing: Work with all parties across the business to identify and assess risk and ensure mitigations are tracked to completion. Lead the development and maintenance of information security policies, standards and procedures in line with regulatory frameworks and industry standards. Lead third party risk management processes. Collaborate across all areas of the business to align security policies and processes with business objectives and regulatory obligations. Work with Security Operations and IT teams to provide oversight of vulnerability assessments and remediation activities. Lead on security architecture reviews for new systems and services. Evaluate technical security controls and recommending improvements. Support the implementation of security tools and technologies. Provide oversight of the security incident management process. Provide security metrics for interested parties at all levels. Lead the security awareness programme to promote a culture of security within all levels of the Group. Provide support for internal and external security audits. Lead security governance meetings representing the Information Security team and standing in for the Head of Information Security when required. Provide subject matter expertise liaising across all business functions.   What we look for: Minimum 5 years' experience in information security roles. Strong leadership and mentorship abilities with a strategic mindset. Experience with risk assessment methodologies. Excellent analytical and problem-solving skills with attention to detail. Strong communication skills with the ability to explain complex security concepts to non-technical stakeholders. Ability to manage risk and compliance projects and drive security initiatives. Knowledge of information security frameworks such as ISO 27001 or NIST. Knowledge of vulnerability management processes.   About Acorn Insurance With over 40 years of experience, Acorn Insurance is a specialist provider dedicated to helping individuals secure motor insurance across the UK. We proudly serve more than 50,000 customers, ensuring they find policies that meet their needs and provide the peace of mind that comes with high-quality cover. At Acorn Insurance, we offer comprehensive training and continuous in-house coaching. You'll receive in-depth, FCA-regulated industry knowledge and all the tools necessary to grow your career with us. We celebrate diversity and are committed to fostering a culture where everyone feels respected and valued. As a Disability Confident Level 1 and Level 2 employer, we ensure our workplace is accessible and inclusive, encouraging our people to bring their best selves to work every day. The Acorn Group has been recognised as a Great Place to Work for 2024/5. A record number of employees participated in our survey, overwhelmingly highlighting our welcoming and supportive atmosphere as an excellent place to build a career. We are committed to continuous improvement and have ambitious plans for 2025.  Why Acorn Insurance? Acorn Insurance want to give you more than a job, we want to give you a purpose and a career. So, what can we offer you as an employer? Some of the "your tomorrow" benefits you will receive include: Wellbeing:  Enhanced Annual Leave entitlement starting at 31 days and potentially increasing to 35 days per year depending on grade & length of service (including bank holidays) Enhanced paternity pay and 16 weeks full maternity pay. Colleague Assistance programme offers a suite of wellbeing services such as: 6 Free Counselling sessions per year Unlimited access to a telephone councillor 24/7 Access to a free 4-week programme of cognitive behavioural therapy (CBT) with a trained therapist mentor.  Network of internal qualified mental health first aiders are available to provide support to colleagues. Financial: A core level of life assurance with the option to increase cover via salary sacrifice and add your spouse/partner  Ability to access your earnings before payday via Dayforce Wallet. Company pension scheme Refer a friend scheme with a £250 bonus for every colleague recommended on passing their probation period. Access to a flexible benefits platform including an annual flex pot allowance to spend on over 15 benefits of your choice. Ability to give back. You can opt into donating money to charity to climate positive organisations directly from your salary.   Reward, Recognition and Culture :  Long Service Award paid on 5,10- and 15-years’ service A reward and recognition hub to celebrate and reward colleagues and peers. Consistent and engaging company events including company awards, competitions and charity fundraisers. Budgets for department leaders to use for social and engagement events. Please visit out website to view more of our excellent work benefits!    All roles are subject to DBS and Financial checks, any offer made will be conditional until checks are completed to a satisfactory standard. Unfortunately, due to the length of training and complexity of the role, we can only accept applications from candidates who have at least one year remaining on their (Graduate/ Post study work) visa. Unfortunately, we are unable to provide visa sponsorships. At Acorn, we are committed to creating an inclusive and supportive work environment. We recognise that candidates may have specific needs and are happy to consider reasonable adjustments to the recruitment process and working environment to accommodate individual requirements. Whether it’s modifying equipment, adjusting working hours, or providing additional support, we aim to ensure all employees can perform at their best. If you require any reasonable adjustments, please let us know during the application or interview process, and we will work with you to ensure your needs are met.
Penetration Tester
Lawrence Harvey
22/01/2026
Full time
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!
Fire And Security Engineer
JLB Recruitment Ltd City, Leeds
22/01/2026
Full time
-Fire and Security Engineer -Specialise in various types of security systems including CCTV, automated gates, intercom systems, automatic barriers, intruder & panic alarms, access control systems -Working in and around Leeds -5 years experience Benefits -No call out out of hours -No staying away -Paid Travel -Company car or van
Palantir Foundry Consultant - Forward Deployed Engineer/FDE
Staffworx Limited
22/01/2026
Full time
Palantir Foundry Consultant You'll work as a hands-on Palantir Foundry consultant, helping to design, build and support data and application workflows on the platform. You'll work closely with senior Foundry engineers and architects, contribute to technical decisions, and collaborate directly with business stakeholders as you grow into owning areas end-to-end. Core Responsibilities Foundry Solution Delivery Contribute to solution design and implementation across: Data integration (Pipeline Builder/code-based pipelines, connectors, incremental loads). Ontology modelling (objects, relationships, basic semantics, versioning). Application layer (Workshop, Code Repositories, OSDK/APIs, Actions, AIP/agentic workflows). Implement data modelling and transformation patterns under guidance from senior team members. Help configure permissions (RBAC/ABAC), object-level security and auditability following established standards. Support CI/CD and environment promotion processes for Foundry artefacts. Scalability, Reliability & Operations Help investigate performance issues (eg parallelisation, partitioning, caching, compute configuration) with mentorship from more senior colleagues. Contribute to monitoring, alerting and observability setup for pipelines, applications and integrations. Participate in incident response and root cause analysis for platform and application issues. Assist in applying non-functional requirements (SLA/SLOs, resilience, backup and recovery) defined by senior engineers. Client-Facing Engineering & Stakeholder Support Join technical discovery sessions to help translate business needs into Foundry use cases. Prepare and demo prototypes, data flows and applications to technical and business users. Support integration work with existing enterprise systems (data warehouses, APIs, identity providers) under guidance. Enablement, Collaboration & Standards Take part in and later help deliver technical enablement sessions, hands-on labs and onboarding for analysts and power users. Share learning, debugging tips and best practices with peers. Follow internal standards for code quality, naming conventions, testing and design patterns and contribute improvements as you gain experience. Required Experience Commercial experience working with Palantir Foundry in an implementation, consulting or engineering role. Hands-on experience with: Building and maintaining Foundry pipelines and/or ontologies. Developing or supporting Foundry applications (Workshop, Code Repos, OSDK, Actions). Exposure to at least one production Foundry project, contributing to: Solution implementation. Deployment or promotion through environments. Operational support and troubleshooting. Experience dealing with: Performance issues or optimisation tasks. Permissions and basic security models. Schema/ontology changes and their impact on downstream use cases. Integration problems and incident recovery in collaboration with senior staff. Some client-facing experience (eg workshops, demos, requirement sessions or design walkthroughs). Any experience helping to train, onboard or support other Foundry users (eg internal sessions, documentation, brown-bag talks) is a plus. Familiarity with Foundry's constraints and common pitfalls, and willingness to learn deeper platform internals, limitations and workarounds. Technical Skills Practical experience with core Foundry components such as: Pipeline Builder Ontology Workshop Code Repositories OSDK/APIs Actions and AIP/agentic features Proficiency in at least one general-purpose programming language commonly used with Foundry (eg Python, Java or similar) for data transformations, services and integrations. Solid understanding of core data engineering concepts: batch/stream processing basics, data modelling, data quality and governance. Experience (or strong interest) in integrating Foundry with: Enterprise identity (SSO, SAML/OIDC) REST APIs and services Existing data platforms or warehouses Familiarity with modern software engineering practices: Version control and code review Automated testing CI/CD pipelines Infrastructure-as-code concepts (where applicable)
Machine Learning Engineer
Apex Resources Ltd
22/01/2026
Seasonal
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)
Data & AI Senior Consultants - Dynamic AI Consulting firm
Staffworx Limited
22/01/2026
Full time
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.
Hardware Engineer - Submarines
Rolls Royce Derby, Derbyshire
22/01/2026
Full time
Job Description Hardware Engineer 5 days in the Office Derby, Raynesway. A role within Submarines will offer you the opportunity to work across all phases of the product life cycle, solving technical challenges across a wide range of digital, software, programmable hardware and electronics technologies, systems, and applications. You will be able to build the career you desire as an engineer, technical specialist, or technical leader. We want you to maximise your potential and will support your technical development through coaching, experience, and training. This will include professional mentoring to start your journey towards becoming a chartered engineer or to continue your professional development. Why Rolls-Royce? Our submarines business is responsible for the design, manufacture, supply and through-life support of nuclear propulsion-related products and systems in support of the Royal Navy's submarine fleet. You can find out more about the amazing projects that we are working on here:- Join us and we'll provide an environment where you can be yourself. An inclusive, digital-first culture that invests in you, gives you a platform for continuous learning, and access to an incredible breadth and depth of opportunities to grow your career. You will be encouraged to bring in fresh ideas and generate creative ways of working to make a stepped improvement in our effectiveness, allowing you to make an impact in delivering programmes that are strategically important to the nation. You will work within our safety critical hardware development team across all phases of product design lifecycles. The team uses agile SCRUM methods to develop high integrity products adopting the latest state-of-the-art toolsets. Training will be provided where required to equip you with the skills necessary to develop requirements, architectures and designs for controls applications essential for the protection and monitoring of nuclear propulsion plant. In addition to design activities, you will be engaged in the integration of programmable parts on to existing hardware products and you will define and carry out platform integration testing on a range of products. The applications you will be involved in are leading-edge solutions addressing the challenges of meeting the highest safety integrity requirements. Within the hardware team there are opportunities to develop your career in technical management, team leadership or as a technical specialist. The team offers the opportunity to become an expert in the use of state-of-the-art toolsets. What we offer: We offer excellent development, a competitive salary and exceptional benefits. These include bonus, employee support assistance and employee discounts. Your needs are as unique as you are. We encourage flexible working arrangements and support hybrid working wherever possible, so you can always be at your best - wherever and whenever you work. What you'll be doing: You will follow a process driven Hardware development lifecycle to deliver customer requirements by: Developing high-level hardware design requirements using DOORS, Architecting Hardware solutions, Defining low level requirements and detailed designs, Designing circuits, selecting components and capturing schematics, Integrating of software and programmable hardware onto hardware platforms, Defining and carrying out detailed integration testing, Developing automated testing procedures, Managing change control and configuration management, You will be engaged in problem solving, You will be required to demonstrate process adherence and solution correctness, You will be expected to engage in continued improvement of our hardware development process, for cost and timescale reduction and quality improvement, You will support process and technical audits, and product design reviews, You will liaise with software, systems, programmable hardware and safety teams, You will manage suppliers, including scoping packages of work and reviewing their deliveries. Who we are looking for: At Rolls-Royce we embrace agility, are bold, pursue collaboration and seek simplicity in everything we do. These principles form our values and behaviours and are an essential component of our assessment process and are fundamental qualities that we seek for all roles Qualified to degree level, In Electronics Engineering, or related discipline, Self-motivated and enthusiastic to become familiar with new techniques and tools, Experienced and talented hardware engineer. Experienced in digital electronics design, Experienced in programmable logic device design, Experienced in real-time systems Awareness of safety-critical development constraints (e.g. IEC62566), Our vision is to ensure that the excellence and ingenuity that shaped our history continues into our future. Our multi-year transformation programme aims to turn Rolls-Royce into a high-performing, competitive, resilient and growing company. Join us, and it can be your future vision too. Rolls-Royce are committed to being a respectful, inclusive, and non-discriminatory workplace where individuality is valued, diverse perspectives fuel innovation, and everyone can thrive. You can learn more about our global inclusion strategy at To work for Rolls-Royce Submarines you need to hold a Security Check (SC) clearance without any caveats to that clearance. Rolls-Royce will support the application for Security Clearance if you don't currently already have this in place. Due to the nature of work the business conducts and the protection of certain assets, you must hold a UK nationality. Any dual nationals will require additional scrutiny and background checks prior to commencing work with RRSL. As part of our selection process, candidates in certain locations may be asked to complete an online assessment, which can include cognitive and behavioural aptitude testing relevant to the role. If required, full instructions for the next steps will be provided. Job Category Electrical and Electronics Posting Date 15 Jan 2026; 00:01 Posting End Date PandoLogic.
Lead ML Engineer (Live Sports Insights)
Sky Hounslow, London
22/01/2026
Full time
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.
Lead ML Engineer (Live Sports Insights)
Sky Beckenham, Kent
22/01/2026
Full time
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.
Lead ML Engineer (Live Sports Insights)
Sky Hammersmith And Fulham, London
22/01/2026
Full time
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.
Lead ML Engineer (Live Sports Insights)
Sky
22/01/2026
Full time
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.
Lead ML Engineer (Live Sports Insights)
Sky
22/01/2026
Full time
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.
Lead ML Engineer (Live Sports Insights)
Sky Southall, Middlesex
22/01/2026
Full time
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.
Lead ML Engineer (Live Sports Insights)
Sky Merton, London
22/01/2026
Full time
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.
Lead ML Engineer (Live Sports Insights)
Sky Romford, Essex
22/01/2026
Full time
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.
Lead ML Engineer (Live Sports Insights)
Sky Wembley, Middlesex
22/01/2026
Full time
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.