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
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
Acorn Insurance and Financial Services Limited
Liverpool
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.
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.
Football Radar
For over a decade, Football Radar has excelled in developing statistical models and analytical frameworks for football. Our expertise extends to providing advisory services to football clubs and offering leading-edge betting advice that has consistently delivered outstanding returns for our clients. We define ourselves as a unique blend of start-up dynamism and established business security, combining the flexibility of the former with the stability of the latter.
About the Role
At Football Radar, we analyse and predict football matches. In the role of a Software Engineer, you will be responsible for helping build and maintain the software that makes that possible - everything from modern web applications to statistical models, real time data platforms to cloud infrastructure.
This role is based at our London office, at 1 Craven Hill, London, W2 3EN. You will have flexibility to work from home one day a week. Please note we are not considering remote candidates at the moment.
Role Requirements
We are looking for engineers with at least 2 years of experience in Scala. Given that the majority of our backend codebase is written in Scala, the ideal candidate will play a pivotal role in shaping the future of our backend infrastructure.
We are first and foremost a football company, and to have a big impact here, it will help if you have domain expertise – you will probably be a big football fan, and ideally someone who is comfortable with the mathematical and statistical approaches we are applying to the game. If you have any experience with sports betting or football analytics that is a bonus.
We’d love to hear from you if this sounds like you:
Well-versed in working with distributed systems in the cloud (our software runs in AWS, deployed via Docker and Kubernetes)
Willing to work across our tech stack: Scala, Python, C++, Typescript and PHP.
Experience with relational and document based databases.
Familiar with different testing methodologies.
Enjoys technical leadership and guiding product development, shaping the vision and implementation of backend platforms effectively.
Thrives on responsibility and ownership.
Pragmatic mindset.
Excellent communication, time management and organisational skills.
Benefits
We have a range of benefits available at Football Radar and continue to review these to ensure our colleagues are gaining everything they can from them.
Half yearly bonus opportunities based on company performance
33 days holiday (Including bank holidays)
Competitive contribution matched pensions
Health and well-being benefits:
Private Medical Insurance (including excess coverage)
Health Cash Plan via Bupa
Subsidised gym membership
Daily subsidised office meals
Learning and development budgets to invest in your personal growth Company and team led engagement activities throughout the year
Fortnightly five-a-side football game amongst colleagues
27/03/2025
Full time
Football Radar
For over a decade, Football Radar has excelled in developing statistical models and analytical frameworks for football. Our expertise extends to providing advisory services to football clubs and offering leading-edge betting advice that has consistently delivered outstanding returns for our clients. We define ourselves as a unique blend of start-up dynamism and established business security, combining the flexibility of the former with the stability of the latter.
About the Role
At Football Radar, we analyse and predict football matches. In the role of a Software Engineer, you will be responsible for helping build and maintain the software that makes that possible - everything from modern web applications to statistical models, real time data platforms to cloud infrastructure.
This role is based at our London office, at 1 Craven Hill, London, W2 3EN. You will have flexibility to work from home one day a week. Please note we are not considering remote candidates at the moment.
Role Requirements
We are looking for engineers with at least 2 years of experience in Scala. Given that the majority of our backend codebase is written in Scala, the ideal candidate will play a pivotal role in shaping the future of our backend infrastructure.
We are first and foremost a football company, and to have a big impact here, it will help if you have domain expertise – you will probably be a big football fan, and ideally someone who is comfortable with the mathematical and statistical approaches we are applying to the game. If you have any experience with sports betting or football analytics that is a bonus.
We’d love to hear from you if this sounds like you:
Well-versed in working with distributed systems in the cloud (our software runs in AWS, deployed via Docker and Kubernetes)
Willing to work across our tech stack: Scala, Python, C++, Typescript and PHP.
Experience with relational and document based databases.
Familiar with different testing methodologies.
Enjoys technical leadership and guiding product development, shaping the vision and implementation of backend platforms effectively.
Thrives on responsibility and ownership.
Pragmatic mindset.
Excellent communication, time management and organisational skills.
Benefits
We have a range of benefits available at Football Radar and continue to review these to ensure our colleagues are gaining everything they can from them.
Half yearly bonus opportunities based on company performance
33 days holiday (Including bank holidays)
Competitive contribution matched pensions
Health and well-being benefits:
Private Medical Insurance (including excess coverage)
Health Cash Plan via Bupa
Subsidised gym membership
Daily subsidised office meals
Learning and development budgets to invest in your personal growth Company and team led engagement activities throughout the year
Fortnightly five-a-side football game amongst colleagues
Senior Agentic AI Developer - Python, LangGraph, RAG, Knowledge Graphs A high-growth, technology-led scale-up (backed by a global leading organisation) is expanding its engineering capability following a highly successful 2025. As part of significant continued investment, they are hiring a Senior Agentic AI Developer to lead the design and development of next-generation AI products and services across Finance, supporting both internal operations and external platforms. This is an opportunity to work in a modern, cloud-native engineering environment, building intelligent agentic AI systems that can reason, plan and act autonomously. You will take ownership of solutions end-to-end - from design and architecture, through development and deployment, to optimisation and continuous improvement. You'll work closely with engineering, product and platform teams to embed Agentic AI and LLM-driven workflows into real-world products, contributing to architectural decisions, engineering standards and best practices. Location: Leeds/Bradford (Hybrid - 2 days per week) or Remote Salary: £90,000 - £110,000 + 15% Bonus + Excellent Benefits To be considered Strong experience as an AI Engineer/ML Engineer/Software Engineer with applied AI exposure. Hands-on Python development experience delivering production-grade systems. Practical experience building agentic AI workflows (LangGraph/LangChain or similar frameworks). Exposure to Knowledge Graphs (Neo4j/RDF/graph-based enrichment or retrieval). Experience integrating LLM APIs (OpenAI or similar), with prompt design and orchestration. This is an excellent opportunity for a senior developer to build impactful Agentic AI systems, influence technical direction, and work within an organisation that is actively investing in AI as a core capability.
22/01/2026
Full time
Senior Agentic AI Developer - Python, LangGraph, RAG, Knowledge Graphs A high-growth, technology-led scale-up (backed by a global leading organisation) is expanding its engineering capability following a highly successful 2025. As part of significant continued investment, they are hiring a Senior Agentic AI Developer to lead the design and development of next-generation AI products and services across Finance, supporting both internal operations and external platforms. This is an opportunity to work in a modern, cloud-native engineering environment, building intelligent agentic AI systems that can reason, plan and act autonomously. You will take ownership of solutions end-to-end - from design and architecture, through development and deployment, to optimisation and continuous improvement. You'll work closely with engineering, product and platform teams to embed Agentic AI and LLM-driven workflows into real-world products, contributing to architectural decisions, engineering standards and best practices. Location: Leeds/Bradford (Hybrid - 2 days per week) or Remote Salary: £90,000 - £110,000 + 15% Bonus + Excellent Benefits To be considered Strong experience as an AI Engineer/ML Engineer/Software Engineer with applied AI exposure. Hands-on Python development experience delivering production-grade systems. Practical experience building agentic AI workflows (LangGraph/LangChain or similar frameworks). Exposure to Knowledge Graphs (Neo4j/RDF/graph-based enrichment or retrieval). Experience integrating LLM APIs (OpenAI or similar), with prompt design and orchestration. This is an excellent opportunity for a senior developer to build impactful Agentic AI systems, influence technical direction, and work within an organisation that is actively investing in AI as a core capability.
Data Centre Design Engineer - Lead / Consulting Inside IR35 Long-term Contract 50% Remote 50% European Travel (Expensed) IT Services Provider We are seeking an experienced Data Centre Design Engineer to join a major IT Services provider in a lead, design-assurance role supporting large-scale European data centre programmes. This is not a pure build role. You'll act as a technical authority, reviewing designs, shaping delivery plans, and overseeing implementation across complex, enterprise environments. Key Responsibilities Review and approve data centre designs (new build and expansion) Act as lead technical engineer / design authority Develop high-level delivery and implementation plans Provide technical governance throughout the project lifecycle Oversee implementation and resolve design or delivery risks Engage with internal teams, vendors, and customer stakeholders Support design sign-off and senior technical discussions Required Experience Strong experience delivering large-scale data centre deployments Proven data centre design background (compute, storage, network, power, cooling) Experience operating as a lead engineer or technical authority Able to translate designs into practical delivery plans Comfortable overseeing delivery rather than day-to-day build Willing to travel across Europe (approx. 50%) Desirable Exposure to AI / HPC data centre environments (e.g. GPU-dense, NVIDIA platforms) Experience with high-density, high-power DC designs Background working for an IT services provider or systems integrator Contract Details Inside IR35 Long-term contract potential 50% remote / 50% European travel (fully expensed) Competitive day rate (experience dependent) Apply now to discuss the role in more detail. ECS Resource Group are an Equal Opportunity Employer, for more information please click the following link: (url removed) In accordance with the Equality Act 2010, if you require an alternative form of application please click the following link: Flexible Application Process - (url removed)/work/flexible-application-process
22/01/2026
Contractor
Data Centre Design Engineer - Lead / Consulting Inside IR35 Long-term Contract 50% Remote 50% European Travel (Expensed) IT Services Provider We are seeking an experienced Data Centre Design Engineer to join a major IT Services provider in a lead, design-assurance role supporting large-scale European data centre programmes. This is not a pure build role. You'll act as a technical authority, reviewing designs, shaping delivery plans, and overseeing implementation across complex, enterprise environments. Key Responsibilities Review and approve data centre designs (new build and expansion) Act as lead technical engineer / design authority Develop high-level delivery and implementation plans Provide technical governance throughout the project lifecycle Oversee implementation and resolve design or delivery risks Engage with internal teams, vendors, and customer stakeholders Support design sign-off and senior technical discussions Required Experience Strong experience delivering large-scale data centre deployments Proven data centre design background (compute, storage, network, power, cooling) Experience operating as a lead engineer or technical authority Able to translate designs into practical delivery plans Comfortable overseeing delivery rather than day-to-day build Willing to travel across Europe (approx. 50%) Desirable Exposure to AI / HPC data centre environments (e.g. GPU-dense, NVIDIA platforms) Experience with high-density, high-power DC designs Background working for an IT services provider or systems integrator Contract Details Inside IR35 Long-term contract potential 50% remote / 50% European travel (fully expensed) Competitive day rate (experience dependent) Apply now to discuss the role in more detail. ECS Resource Group are an Equal Opportunity Employer, for more information please click the following link: (url removed) In accordance with the Equality Act 2010, if you require an alternative form of application please click the following link: Flexible Application Process - (url removed)/work/flexible-application-process
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)
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)
AWS Engineer / Lambda / DynamoDB / Terraform / IAC / Permanent / Remote / West Midlands / £50,000 - £60,000 The Role We're hiring a Mid-Senior AWS Engineer to play a critical role in our client's product roadmap. This is a fully backend-focused position, dedicated to rebuilding a core platform with scalability, performance and clean architecture at its heart. You'll work closely with the Head of Engineering and be trusted to take ownership, contribute ideas and help shape how the platform is built from day one. This is a key hire for the business which will help them progress as an organisation. What You'll Be Doing Designing and building backend services for a new platform Developing serverless solutions using AWS (Lambda, DynamoDB, etc.) Implementing and maintaining Infrastructure as Code using Terraform Working with architects to ensure best-practice system design Ensuring services are scalable, secure and production-ready Collaborating closely with engineering leadership on how the platform fits together end-to-end Taking ownership and proactively contributing ideas and improvements Tech Stack & Experience Required Essential: Strong experience with AWS, particularly serverless architectures Hands-on experience with AWS Lambda and DynamoDB Proven use of Terraform (or strong IaC experience) Solid backend engineering experience Strong understanding of databases and data modelling Ability to work independently and pick things up quickly Nice to Have: Experience rebuilding or modernising legacy systems Exposure to DevOps practices and cloud architecture decisions
22/01/2026
Full time
AWS Engineer / Lambda / DynamoDB / Terraform / IAC / Permanent / Remote / West Midlands / £50,000 - £60,000 The Role We're hiring a Mid-Senior AWS Engineer to play a critical role in our client's product roadmap. This is a fully backend-focused position, dedicated to rebuilding a core platform with scalability, performance and clean architecture at its heart. You'll work closely with the Head of Engineering and be trusted to take ownership, contribute ideas and help shape how the platform is built from day one. This is a key hire for the business which will help them progress as an organisation. What You'll Be Doing Designing and building backend services for a new platform Developing serverless solutions using AWS (Lambda, DynamoDB, etc.) Implementing and maintaining Infrastructure as Code using Terraform Working with architects to ensure best-practice system design Ensuring services are scalable, secure and production-ready Collaborating closely with engineering leadership on how the platform fits together end-to-end Taking ownership and proactively contributing ideas and improvements Tech Stack & Experience Required Essential: Strong experience with AWS, particularly serverless architectures Hands-on experience with AWS Lambda and DynamoDB Proven use of Terraform (or strong IaC experience) Solid backend engineering experience Strong understanding of databases and data modelling Ability to work independently and pick things up quickly Nice to Have: Experience rebuilding or modernising legacy systems Exposure to DevOps practices and cloud architecture decisions
Our dynamic global maritime client is looking for a Pre-Sales Manager to join them on a permanent basis. Reporting to the Head of Pre-Sales, the Pre-Sales Manager will play a pivotal support role in the ongoing success and expansion of our client s maritime safety and sustainability solutions. You will play a lead role in solution design and client engagement, our client s solutions are strategically aligned with customer requirements. This role bridges commercial, product, and technical functions by owning discovery processes, shaping solution proposals, and mentoring peers. This is a high-exposure role that involves interacting with major global shipping companies, charterers, regulators, and port authorities, contributing to solutions that address complex safety, compliance, and environmental requirements in the maritime sector. THE SUCCESSFUL APPLICANT 10 - 12 years in the maritime industry with particular focus on implementing digital and software solutions Deep domain expertise in maritime operations, fleet management, compliance, or port logistics Strong presentation, negotiation, and stakeholder management skills across senior organizational levels Experience with maritime digital transformation initiatives (e.g., Smart Shipping, Decarbonization, Autonomous Vessels) Familiarity with SaaS, integrations, and maritime compliance frameworks and knowledge of major CRM systems Familiarity with data analytics platforms, voyage optimization, emissions tracking, or IoT solutions Multilingual skills advantageous Bachelor s or Master s degree in Maritime Studies, Engineering, Computer Science, Business, or related fields Track record leading pre-sales efforts for enterprise-scale software solutions is desired JOB DESCRIPTION Identify potential customers by obtaining information, referrals, and recommendations from existing customers and other contacts and/or through participation in trade shows and conferences Conduct discovery calls and workshops with customer stakeholders; document requirements and business outcomes Translate customer needs into standard or tailored solution outlines, data flows and integration notes; coordinate inputs from internal SMEs Prepare RFP/RFI content, schedules and solution narratives; contribute to, but do not own, bid strategy Deliver persuasive product demos and targeted presentations addressing customer pain points; capture objections and mitigation actions Maintain competitive feature matrices and assist with win/loss insights for regional teams Provide inputs to Product and Business Development, representing the voice of the customer Resolve complex pre-sales queries by applying policy/process knowledge; escalate exceptions where policy interpretation is required Track customer feedback and support continuous improvement in demo assets, proposal templates and discovery checklists Contribute insights on industry trends such as maritime regulations (IMO, SOLAS, MARPOL), sustainability frameworks (EEXI, CII), decarbonization and digitalization to shape solution direction REMUNERATION PACKAGE ON OFFER Competitive Salary and Generous Benefits Package.
22/01/2026
Full time
Our dynamic global maritime client is looking for a Pre-Sales Manager to join them on a permanent basis. Reporting to the Head of Pre-Sales, the Pre-Sales Manager will play a pivotal support role in the ongoing success and expansion of our client s maritime safety and sustainability solutions. You will play a lead role in solution design and client engagement, our client s solutions are strategically aligned with customer requirements. This role bridges commercial, product, and technical functions by owning discovery processes, shaping solution proposals, and mentoring peers. This is a high-exposure role that involves interacting with major global shipping companies, charterers, regulators, and port authorities, contributing to solutions that address complex safety, compliance, and environmental requirements in the maritime sector. THE SUCCESSFUL APPLICANT 10 - 12 years in the maritime industry with particular focus on implementing digital and software solutions Deep domain expertise in maritime operations, fleet management, compliance, or port logistics Strong presentation, negotiation, and stakeholder management skills across senior organizational levels Experience with maritime digital transformation initiatives (e.g., Smart Shipping, Decarbonization, Autonomous Vessels) Familiarity with SaaS, integrations, and maritime compliance frameworks and knowledge of major CRM systems Familiarity with data analytics platforms, voyage optimization, emissions tracking, or IoT solutions Multilingual skills advantageous Bachelor s or Master s degree in Maritime Studies, Engineering, Computer Science, Business, or related fields Track record leading pre-sales efforts for enterprise-scale software solutions is desired JOB DESCRIPTION Identify potential customers by obtaining information, referrals, and recommendations from existing customers and other contacts and/or through participation in trade shows and conferences Conduct discovery calls and workshops with customer stakeholders; document requirements and business outcomes Translate customer needs into standard or tailored solution outlines, data flows and integration notes; coordinate inputs from internal SMEs Prepare RFP/RFI content, schedules and solution narratives; contribute to, but do not own, bid strategy Deliver persuasive product demos and targeted presentations addressing customer pain points; capture objections and mitigation actions Maintain competitive feature matrices and assist with win/loss insights for regional teams Provide inputs to Product and Business Development, representing the voice of the customer Resolve complex pre-sales queries by applying policy/process knowledge; escalate exceptions where policy interpretation is required Track customer feedback and support continuous improvement in demo assets, proposal templates and discovery checklists Contribute insights on industry trends such as maritime regulations (IMO, SOLAS, MARPOL), sustainability frameworks (EEXI, CII), decarbonization and digitalization to shape solution direction REMUNERATION PACKAGE ON OFFER Competitive Salary and Generous Benefits Package.
Data & AI Senior Consultants Location - We are flexible: onsite, hybrid or fully remote, depending on what works for you and the client, UK or Netherlands based. What you will actually be doing This is not a role where you build clever models that never get used. Your focus is on creating measurable value for clients using data science, machine learning and GenAI, in a consulting and advisory context. You will own work from the very beginning, asking questions like "What value are we trying to create here?" and "Is this the right problem to solve?" through to "It is live, stakeholders are using it and we can see the impact in the numbers." You will work fairly independently and you will also be someone that more junior team members look to for help and direction. A big part of the job is taking messy, ambiguous business and technical problems and turning them into clear, valuable solutions that make sense to the client. You will do this in a client facing role. That means you will be in the room for key conversations, providing honest advice, managing expectations and helping clients make good decisions about where and how to use AI. What your day to day might look like Getting to the heart of the problem Meeting with stakeholders who may not be clear on what they really need Using discovery sessions, workshops and structured questioning to uncover the real business problem Framing success in terms of value. For example higher revenue, lower cost, reduced risk, increased efficiency or better customer experience Translating business goals into a clear roadmap of data and AI work that everyone can understand Advising clients when AI is not the right solution and suggesting simpler or more cost effective alternatives Consulting and advisory work Acting as a trusted advisor to product owners, heads of department and executives Helping clients prioritise use cases based on value, feasibility and risk Communicating trade offs in a simple way. For example accuracy versus speed, innovation versus compliance, cost versus impact Preparing and delivering client presentations, proposals and updates that tell a clear story Supporting pre sales activities where needed, such as scoping work, estimating effort and defining outcomes Managing client expectations, risks and dependencies so there are no surprises Building things that actually work Once the problem and value are clear, you will design and deliver production ready ML and GenAI solutions. That includes: Designing and building data pipelines, batch or streaming, that support the desired outcomes Working with engineers and architects so your work fits cleanly into existing systems Making sure what you build is reliable in production and moves the needle on agreed metrics, not just offline benchmarks Explaining design decisions to both technical and non technical stakeholders GenAI work You will work with GenAI in ways that are grounded in real use cases and business value: Building RAG systems that improve search, content discovery or productivity rather than existing for their own sake Implementing guardrails so models do not leak PII or generate harmful or off brand content Defining and tracking the right metrics so you and the client can see whether a GenAI solution is useful and cost effective Fine tuning and optimising models so they perform well for the use case and budget Designing agentic workflows where they genuinely improve outcomes rather than add complexity Helping clients understand what GenAI can and cannot do in practice Keeping it running You will set up the foundations that protect value over time: Experiment tracking and model versioning so you know what works and can roll back safely CI/CD pipelines for ML so improvements reach users quickly and reliably Monitoring and alerting for models and data so you can catch issues before they damage trust or results Communicating operational risks and mitigations to non technical stakeholders in plain language Security, quality and compliance You will help make sure: Data is accurate, traceable and well managed so decisions are sound Sensitive data is handled correctly, protecting users and the business Regulatory and compliance requirements are met, avoiding costly mistakes Clients understand the risk profile of AI solutions and the controls in place Working with people You will be a bridge between technical and non technical teams, inside our organisation and on the client side. That means: Explaining complex ML and GenAI ideas in plain language, always tied to business outcomes Working closely with product managers, engineers and business stakeholders to prioritise work that matters Facilitating workshops, playback sessions and show and tells that build buy in and understanding Coaching and supporting junior colleagues so the whole team can deliver more value Representing the company professionally in client meetings and at industry events What we are looking for Experience Around 3 to 6 years of experience shipping ML or GenAI solutions into production A track record of seeing projects through from discovery to delivery, with clear impact Experience working directly with stakeholders or clients in a consulting, advisory or product facing role Education A Bachelor or Master degree in a quantitative field such as Computer Science, Data Science, Statistics, Mathematics or Engineering or Equivalent experience that shows you can deliver results Technical skills Core skills Strong Python and SQL, with clean, maintainable code Solid understanding of ML fundamentals. For example feature engineering, model selection, handling imbalanced data, choosing and interpreting metrics Experience with PyTorch or TensorFlow GenAI specific Hands on experience with LLM APIs or open source models such as Llama or Mistral Experience building RAG systems with vector databases such as FAISS, Pinecone or Weaviate Ability to evaluate and improve prompts and retrieval quality using clear metrics Understanding of safety practices such as PII redaction and content filtering Exposure to agentic frameworks Cloud and infrastructure Comfortable working in at least one major cloud provider. AWS, GCP or Azure Familiar with Docker and CI/CD pipelines Experience with managed ML platforms such as SageMaker, Vertex AI or Azure ML Data engineering and MLOps Experience with data warehouses such as Snowflake, BigQuery or Redshift Workflow orchestration using tools like Airflow or Dagster Experience with MLOps tools such as MLflow, Weights and Biases or similar Awareness of data and model drift, and how to monitor and respond to it before it erodes value Soft skills, the things that really matter You are comfortable in client facing settings and can build trust quickly You can talk with anyone from a CEO to a new data analyst, and always bring the conversation back to business value You can take a vague, messy business problem and turn it into a clear technical plan that links to outcomes and metrics You are happy to push back and challenge assumptions respectfully when it is in the client's best interest You like helping other people grow and are happy to mentor junior colleagues You communicate clearly in writing and in person Nice to have, not required Do not rule yourself out if you do not have these. They are a bonus, not a checklist. Experience with Delta Lake, Iceberg, Spark or Databricks, Palantir Experience optimising LLM serving with tools such as vLLM, TGI or TensorRT LLM Search and ranking experience. For example Elasticsearch or rerankers Background in time series forecasting, causal inference, recommender systems or optimisation Experience managing cloud costs and IAM so value is not lost to waste Ability to work in other languages where needed. For example Java, Scala, Go or bash Experience with BI tools such as Looker or Tableau Prior consulting experience or leading client projects end to end Contributions to open source, conference talks or published papers that show your ability to share ideas and influence the wider community Got a background that fits and you're up for a new challenge? Send over your latest CV, expectations and availability. Staffworx Limited is a UK based recruitment consultancy partnering with leading global brands across digital, AI, software, and business consulting. Let's talk about what you could add to the mix.
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.
Job description: Can you think strategically and join the dots across multiple activities to build the bigger picture?Do you thrive in fast-paced environments, spotting opportunities for improvement and innovation? Are you eager to learn new tools, master emerging software, and make a real impact on how our client operates? If so, wed love to hear from you. We are looking for DevOps Engineers at all experience levels to join our clients growing team. Youll work in small, agile delivery teams on exciting, challenging projects that solve real-world problems with a direct impact. About the Role As a DevOps Engineer, youll play a key role in designing, building, and supporting secure, efficient, and scalable systems. You will work closely with multi-skilled feature teams to: Develop, test, deploy, release, operate, and monitor software products. Design and manage automated CI/CD pipelines. Build and operate shared platform services for deployment, operation, and monitoring. Create infrastructure using Infrastructure as Code (IaC) principles. Deploy and operate products in AWS, Azure, and on-premises environments. Support teams in adopting and optimising shared platform services. About You Youll enjoy working on complex and varied projects, and youll have a proactive, can-do attitude with a passion for continuous learning. Essential experience: Building and deploying secure products using modern technology and patterns. Familiarity with AWS and/or Azure concepts and services. Designing and running reliable, scalable shared solutions. Working across the full Software Development Lifecycle (SDLC). Delivering in agile environments using Scrum or Kanban. Engaging with senior stakeholders. Desirable (not essential):Experience or certifications in: GitLab, Jenkins, Kubernetes, Docker, Terraform, Packer, Vault, Serverless, Elastic Stack, Prometheus, Grafana, Artifactory, Nexus. Why Join? Work on mission-critical projects that make a real difference. Be part of a team that embraces innovation, diversity, and inclusion. Access ongoing training and certifications to keep your skills sharp. Join a supportive environment that values collaboration and knowledge sharing. Ready to build, innovate, and deliver? Apply now and help shape the future of secure, scalable technology. Qualifications: Design and manage automated CI/CD pipelines. Build and operate shared platform services for deployment, operation, and monitoring. Create infrastructure using Infrastructure as Code (IaC) principles. Why is This a Great Opportunity: Flexitime 37.5 hrs/week, structured your way Learning budget for training, certifications, and conferences Private healthcare and matched pension Monthly socials and quarterly company meetups Career growth in a fast-moving, meaningful sector Salary Type : Annual Salary Salary Min : £ 60000 Salary Max : £ 75000 Currency Type : GBP
22/01/2026
Full time
Job description: Can you think strategically and join the dots across multiple activities to build the bigger picture?Do you thrive in fast-paced environments, spotting opportunities for improvement and innovation? Are you eager to learn new tools, master emerging software, and make a real impact on how our client operates? If so, wed love to hear from you. We are looking for DevOps Engineers at all experience levels to join our clients growing team. Youll work in small, agile delivery teams on exciting, challenging projects that solve real-world problems with a direct impact. About the Role As a DevOps Engineer, youll play a key role in designing, building, and supporting secure, efficient, and scalable systems. You will work closely with multi-skilled feature teams to: Develop, test, deploy, release, operate, and monitor software products. Design and manage automated CI/CD pipelines. Build and operate shared platform services for deployment, operation, and monitoring. Create infrastructure using Infrastructure as Code (IaC) principles. Deploy and operate products in AWS, Azure, and on-premises environments. Support teams in adopting and optimising shared platform services. About You Youll enjoy working on complex and varied projects, and youll have a proactive, can-do attitude with a passion for continuous learning. Essential experience: Building and deploying secure products using modern technology and patterns. Familiarity with AWS and/or Azure concepts and services. Designing and running reliable, scalable shared solutions. Working across the full Software Development Lifecycle (SDLC). Delivering in agile environments using Scrum or Kanban. Engaging with senior stakeholders. Desirable (not essential):Experience or certifications in: GitLab, Jenkins, Kubernetes, Docker, Terraform, Packer, Vault, Serverless, Elastic Stack, Prometheus, Grafana, Artifactory, Nexus. Why Join? Work on mission-critical projects that make a real difference. Be part of a team that embraces innovation, diversity, and inclusion. Access ongoing training and certifications to keep your skills sharp. Join a supportive environment that values collaboration and knowledge sharing. Ready to build, innovate, and deliver? Apply now and help shape the future of secure, scalable technology. Qualifications: Design and manage automated CI/CD pipelines. Build and operate shared platform services for deployment, operation, and monitoring. Create infrastructure using Infrastructure as Code (IaC) principles. Why is This a Great Opportunity: Flexitime 37.5 hrs/week, structured your way Learning budget for training, certifications, and conferences Private healthcare and matched pension Monthly socials and quarterly company meetups Career growth in a fast-moving, meaningful sector Salary Type : Annual Salary Salary Min : £ 60000 Salary Max : £ 75000 Currency Type : GBP
About Us SharkNinja is a global product design and technology company, with a diversified portfolio of 5-star rated lifestyle solutions that positively impact people's lives in homes around the world. Powered by two trusted, global brands, Shark and Ninja , the company has a proven track record of bringing disruptive innovation to market, and developing one consumer product after another has allowed SharkNinja to enter multiple product categories, driving significant growth and market share gains. Headquartered in Needham, Massachusetts with more than 3,600+ associates, the company's products are sold at key retailers, online and offline, and through distributors around the world . About the Role At SharkNinja, our purpose is to positively impact people's lives every day in every home around the world. New Product Development is where that impact is realised through the delivery of scalable, manufacturable products that set the standard for performance, reliability, and consumer value. As a Principal Electronics Systems Engineer - New Product Development, you define electronic system strategies, make high impact architectural decisions, and influence multiple product programs. Your remit extends beyond individual projects to shaping platforms, standards, and technical direction that enable sustained product innovation and delivery at scale. You are accountable for system level outcomes, comfortable making complex trade offs, and trusted to guide teams through ambiguity toward clear, executable solutions. This role has significant influence across Engineering, Product Development, Quality, and Manufacturing. What You'll Be Doing Owning and defining system architectures for complex consumer products across electronics, embedded software, and integrated electromechanical systems Setting technical direction for multiple new product programs, ensuring alignment with platform strategies, cost targets, and manufacturability goals Leading concept to development readiness activities, de-risking technologies and architectures before formal program commitment Making and defending critical system level trade offs across performance, cost, reliability, compliance, and schedule Establishing clear system requirements, interface definitions, and functional architectures across multidisciplinary teams Driving development of reusable electrical and embedded platforms to improve speed, quality, and consistency across product portfolios Providing technical leadership during system integration, EMC, safety, DVT, and regulatory compliance activities Partnering with Product Management and Engineering leadership to support roadmaps, investment decisions, and long term technology strategy Reviewing, challenging, and approving designs through formal design reviews, raising the technical bar across teams Mentoring senior and mid-level engineers, acting as a reference point for complex technical issues Communicating complex system concepts clearly to technical and non technical stakeholders What You'll Bring Bachelor's or Master's degree in Electrical Engineering, Systems Engineering, or a related discipline 10+ years of experience delivering complex consumer electronics products, with demonstrated system-level ownership Proven track record of defining and shipping electronic system architectures used across multiple products or platforms Deep systems integration expertise across electrical, embedded, and mechanical domains Advanced analogue and digital circuit design capability, including signal integrity, filtering, and mixed-signal systems Strong hands on experience with power electronics (AC/DC, flyback, buck/boost) and regulatory considerations Embedded systems expertise including MCU selection, memory architectures, and hardware/software partitioning Experience integrating sensor systems and wireless connectivity (Bluetooth, Wi-Fi) into production products Ability to evaluate new technologies with a pragmatic focus on reliability, supply chain, and scalability Experience influencing without direct authority across teams and functions A strategic mindset combined with a bias for execution and technical excellence Our Culture At SharkNinja, we don't just raise the bar-we push past it every single day. Our Outrageously Extraordinary mindset drives us to tackle the impossible, push boundaries, and deliver results that others only dream of. If you thrive on breaking out of your swim lane, you'll be right at home. What We Offer We offer competitive health insurance, retirement plans, paid time off, employee stock purchase options, wellness programs, SharkNinja product discounts, and more. We empower your personal and professional growth with high impact Learning Programs featuring bold voices redefining what's possible. When you join, you're not just part of a company-you're part of an outrageously extraordinary community. To gether, we won't just launch products- we'll disrupt entire markets. At SharkNinja, Diversity, Equity, and Inclusion are vital to our global success. Valuing each unique voice and blending all of our diverse skills strengthens SharkNinja's innovation every day. We support ALL associates in bringing their authentic selves to work, making an impact, and having the opportunity for career acceleration. With help from our leadership, associates, and our community, we aim to have equity be a key component of the SharkNinja DNA. Learn more about us: Life At SharkNinja Outrageously Extraordinary SharkNinja Candidate Privacy Notice For candidates based in all regions, please refer to this Candidate Privacy Notice . For candidates based in China, please refer to this Candidate Privacy Notice . For candidates based in Vietnam, please refer to this Candidate Privacy Notice . We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, disability, or any other class protected by legislation, and local law. SharkNinja will consider reasonable accommodations consistent with legislation, and local law. If you require a reasonable accommodation to participate in the job application or interview process, please contact SharkNinja People & Culture at
22/01/2026
Full time
About Us SharkNinja is a global product design and technology company, with a diversified portfolio of 5-star rated lifestyle solutions that positively impact people's lives in homes around the world. Powered by two trusted, global brands, Shark and Ninja , the company has a proven track record of bringing disruptive innovation to market, and developing one consumer product after another has allowed SharkNinja to enter multiple product categories, driving significant growth and market share gains. Headquartered in Needham, Massachusetts with more than 3,600+ associates, the company's products are sold at key retailers, online and offline, and through distributors around the world . About the Role At SharkNinja, our purpose is to positively impact people's lives every day in every home around the world. New Product Development is where that impact is realised through the delivery of scalable, manufacturable products that set the standard for performance, reliability, and consumer value. As a Principal Electronics Systems Engineer - New Product Development, you define electronic system strategies, make high impact architectural decisions, and influence multiple product programs. Your remit extends beyond individual projects to shaping platforms, standards, and technical direction that enable sustained product innovation and delivery at scale. You are accountable for system level outcomes, comfortable making complex trade offs, and trusted to guide teams through ambiguity toward clear, executable solutions. This role has significant influence across Engineering, Product Development, Quality, and Manufacturing. What You'll Be Doing Owning and defining system architectures for complex consumer products across electronics, embedded software, and integrated electromechanical systems Setting technical direction for multiple new product programs, ensuring alignment with platform strategies, cost targets, and manufacturability goals Leading concept to development readiness activities, de-risking technologies and architectures before formal program commitment Making and defending critical system level trade offs across performance, cost, reliability, compliance, and schedule Establishing clear system requirements, interface definitions, and functional architectures across multidisciplinary teams Driving development of reusable electrical and embedded platforms to improve speed, quality, and consistency across product portfolios Providing technical leadership during system integration, EMC, safety, DVT, and regulatory compliance activities Partnering with Product Management and Engineering leadership to support roadmaps, investment decisions, and long term technology strategy Reviewing, challenging, and approving designs through formal design reviews, raising the technical bar across teams Mentoring senior and mid-level engineers, acting as a reference point for complex technical issues Communicating complex system concepts clearly to technical and non technical stakeholders What You'll Bring Bachelor's or Master's degree in Electrical Engineering, Systems Engineering, or a related discipline 10+ years of experience delivering complex consumer electronics products, with demonstrated system-level ownership Proven track record of defining and shipping electronic system architectures used across multiple products or platforms Deep systems integration expertise across electrical, embedded, and mechanical domains Advanced analogue and digital circuit design capability, including signal integrity, filtering, and mixed-signal systems Strong hands on experience with power electronics (AC/DC, flyback, buck/boost) and regulatory considerations Embedded systems expertise including MCU selection, memory architectures, and hardware/software partitioning Experience integrating sensor systems and wireless connectivity (Bluetooth, Wi-Fi) into production products Ability to evaluate new technologies with a pragmatic focus on reliability, supply chain, and scalability Experience influencing without direct authority across teams and functions A strategic mindset combined with a bias for execution and technical excellence Our Culture At SharkNinja, we don't just raise the bar-we push past it every single day. Our Outrageously Extraordinary mindset drives us to tackle the impossible, push boundaries, and deliver results that others only dream of. If you thrive on breaking out of your swim lane, you'll be right at home. What We Offer We offer competitive health insurance, retirement plans, paid time off, employee stock purchase options, wellness programs, SharkNinja product discounts, and more. We empower your personal and professional growth with high impact Learning Programs featuring bold voices redefining what's possible. When you join, you're not just part of a company-you're part of an outrageously extraordinary community. To gether, we won't just launch products- we'll disrupt entire markets. At SharkNinja, Diversity, Equity, and Inclusion are vital to our global success. Valuing each unique voice and blending all of our diverse skills strengthens SharkNinja's innovation every day. We support ALL associates in bringing their authentic selves to work, making an impact, and having the opportunity for career acceleration. With help from our leadership, associates, and our community, we aim to have equity be a key component of the SharkNinja DNA. Learn more about us: Life At SharkNinja Outrageously Extraordinary SharkNinja Candidate Privacy Notice For candidates based in all regions, please refer to this Candidate Privacy Notice . For candidates based in China, please refer to this Candidate Privacy Notice . For candidates based in Vietnam, please refer to this Candidate Privacy Notice . We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, disability, or any other class protected by legislation, and local law. SharkNinja will consider reasonable accommodations consistent with legislation, and local law. If you require a reasonable accommodation to participate in the job application or interview process, please contact SharkNinja People & Culture at
Job description: About our client theyre here to support government departments in making critical decisions that enhance the security and prosperity of the UK. Their work is at the heart of national security, making them an essential part of keeping the UK safe. With a team of over 450 skilled professionals, theyre passionate about delivering solutions that truly make a difference. Its not just about code, algorithms, and data, its about playing a key role in protecting the UK. Their work is highly sensitive and important, and youll be right there with us. Youll develop mission-critical systems while helping to keep the UK secure. The Role: As a Senior Test Engineer, youll join one of our clients small, agile teams. Youll be working on exciting National Security projects, helping ensure automated testing is built in from the start as part of a smooth CI/CD lifecycle. At our client, testing covers a wide range of responsibilities. Heres a taste of what you might get up to: Using a variety of technologies, with a focus on open-source tools and frameworks. Manual & automation software testing. Working with DevOps and agile methodologiesTDD, BDD, ATDDand continuous testing through CI/CD pipelines, with manual/exploratory testing when needed. Designing and implementing automated test frameworks across UI & API. We typically work with technologies like Selenium, Cypress.io, Webdriver.io, Playwright, Cucumber, Robot Framework, Serenity BDD, and Rest Assured. Sharing new ideas with the QA team and helping improve our test frameworks and processes. Conducting non-functional testing, covering areas like Security, Performance, Accessibility, and Operational Acceptance Testing (OAT). The Fit: Their Senior Test Engineers love working on interesting and challenging projects. They want their team to have a positive, can-do attitude and a passion for learning and improving. They keep up with emerging technologies and always strive to deliver the best, so if you enjoy continuous improvement, youll fit right in. Were looking for Senior Test Engineers who are passionate about Manual & Automation testing and have experience with complex solutions. Youll be comfortable working as part of an Agile team, taking ownership of your work, and helping to foster best practices in an Agile environment. Because of the nature of the work, youll need to be DV-cleared to work on this role. Culture & Benefits: Our client is proud of their supportive, inclusive, and team-focused environment where everyone can thrive. They value each member of their team and want you to feel excited about coming to work. Their benefits package reflects how much they care about their people: WELLBEING Free 24/7 counselling helpline and employee assistance programme. WORK YOUR BEST City-centre offices across the UK, with flexitime and the option to work from home. LEARN & GROW A dedicated Career Coach to guide your development. SOCIAL Fun events throughout the year, including socials, a Summer Party in London, and annual awaydays. ONSITE ALLOWANCES Expenses for lunch and drinks. They have offices in Bristol, Cheltenham and Manchester. Equal Opportunities: Theyre proud to be an equal opportunities employer, committed to building an inclusive workplace where everyone is valued. They believe that diversity strengthens our team, and were actively working to prevent discrimination in all its forms. As a Disability Confident employer, we will: Provide reasonable adjustments during the recruitment process if needed Offer an interview to people with health conditions or disabilities who meet the minimum criteria for a role. We celebrate the uniqueness of our people and encourage everyone to contribute to our inclusion journey. Qualifications: Using a variety of technologies, with a focus on open-source tools and frameworks. Manual & automation software testing. Working with DevOps and agile methodologiesTDD, BDD, ATDDand continuous testing through CI/CD pipelines, with manual/exploratory testing when needed. Designing and implementing automated test frameworks across UI & API. We typically work with technologies like Selenium, Cypress.io, Webdriver.io, Playwright, Cucumber, Robot Framework, Serenity BDD, and Rest Assured. Sharing new ideas with the QA team and helping improve our test frameworks and processes. Conducting non-functional testing, covering areas like Security, Performance, Accessibility, and Operational Acceptance Testing (OAT). Why is This a Great Opportunity: Our client is proud of their supportive, inclusive, and team-focused environment where everyone can thrive. They value each member of their team and want you to feel excited about coming to work. Their benefits package reflects how much they care about their people: WELLBEING Free 24/7 counselling helpline and employee assistance programme. WORK YOUR BEST City-centre offices across the UK, with flexitime and the option to work from home. LEARN & GROW A dedicated Career Coach to guide your development. SOCIAL Fun events throughout the year, including socials, a Summer Party in London, and annual awaydays. ONSITE ALLOWANCES Expenses for lunch and drinks. They have offices in Bristol, Cheltenham and Manchester. Salary Type : Annual Salary Salary Min : £ 40000 Salary Max : £ 70000 Currency Type : GBP
22/01/2026
Full time
Job description: About our client theyre here to support government departments in making critical decisions that enhance the security and prosperity of the UK. Their work is at the heart of national security, making them an essential part of keeping the UK safe. With a team of over 450 skilled professionals, theyre passionate about delivering solutions that truly make a difference. Its not just about code, algorithms, and data, its about playing a key role in protecting the UK. Their work is highly sensitive and important, and youll be right there with us. Youll develop mission-critical systems while helping to keep the UK secure. The Role: As a Senior Test Engineer, youll join one of our clients small, agile teams. Youll be working on exciting National Security projects, helping ensure automated testing is built in from the start as part of a smooth CI/CD lifecycle. At our client, testing covers a wide range of responsibilities. Heres a taste of what you might get up to: Using a variety of technologies, with a focus on open-source tools and frameworks. Manual & automation software testing. Working with DevOps and agile methodologiesTDD, BDD, ATDDand continuous testing through CI/CD pipelines, with manual/exploratory testing when needed. Designing and implementing automated test frameworks across UI & API. We typically work with technologies like Selenium, Cypress.io, Webdriver.io, Playwright, Cucumber, Robot Framework, Serenity BDD, and Rest Assured. Sharing new ideas with the QA team and helping improve our test frameworks and processes. Conducting non-functional testing, covering areas like Security, Performance, Accessibility, and Operational Acceptance Testing (OAT). The Fit: Their Senior Test Engineers love working on interesting and challenging projects. They want their team to have a positive, can-do attitude and a passion for learning and improving. They keep up with emerging technologies and always strive to deliver the best, so if you enjoy continuous improvement, youll fit right in. Were looking for Senior Test Engineers who are passionate about Manual & Automation testing and have experience with complex solutions. Youll be comfortable working as part of an Agile team, taking ownership of your work, and helping to foster best practices in an Agile environment. Because of the nature of the work, youll need to be DV-cleared to work on this role. Culture & Benefits: Our client is proud of their supportive, inclusive, and team-focused environment where everyone can thrive. They value each member of their team and want you to feel excited about coming to work. Their benefits package reflects how much they care about their people: WELLBEING Free 24/7 counselling helpline and employee assistance programme. WORK YOUR BEST City-centre offices across the UK, with flexitime and the option to work from home. LEARN & GROW A dedicated Career Coach to guide your development. SOCIAL Fun events throughout the year, including socials, a Summer Party in London, and annual awaydays. ONSITE ALLOWANCES Expenses for lunch and drinks. They have offices in Bristol, Cheltenham and Manchester. Equal Opportunities: Theyre proud to be an equal opportunities employer, committed to building an inclusive workplace where everyone is valued. They believe that diversity strengthens our team, and were actively working to prevent discrimination in all its forms. As a Disability Confident employer, we will: Provide reasonable adjustments during the recruitment process if needed Offer an interview to people with health conditions or disabilities who meet the minimum criteria for a role. We celebrate the uniqueness of our people and encourage everyone to contribute to our inclusion journey. Qualifications: Using a variety of technologies, with a focus on open-source tools and frameworks. Manual & automation software testing. Working with DevOps and agile methodologiesTDD, BDD, ATDDand continuous testing through CI/CD pipelines, with manual/exploratory testing when needed. Designing and implementing automated test frameworks across UI & API. We typically work with technologies like Selenium, Cypress.io, Webdriver.io, Playwright, Cucumber, Robot Framework, Serenity BDD, and Rest Assured. Sharing new ideas with the QA team and helping improve our test frameworks and processes. Conducting non-functional testing, covering areas like Security, Performance, Accessibility, and Operational Acceptance Testing (OAT). Why is This a Great Opportunity: Our client is proud of their supportive, inclusive, and team-focused environment where everyone can thrive. They value each member of their team and want you to feel excited about coming to work. Their benefits package reflects how much they care about their people: WELLBEING Free 24/7 counselling helpline and employee assistance programme. WORK YOUR BEST City-centre offices across the UK, with flexitime and the option to work from home. LEARN & GROW A dedicated Career Coach to guide your development. SOCIAL Fun events throughout the year, including socials, a Summer Party in London, and annual awaydays. ONSITE ALLOWANCES Expenses for lunch and drinks. They have offices in Bristol, Cheltenham and Manchester. Salary Type : Annual Salary Salary Min : £ 40000 Salary Max : £ 70000 Currency Type : GBP
Job description: Can you think strategically and join the dots across multiple activities to build the bigger picture?Do you thrive in fast-paced environments, spotting opportunities for improvement and innovation? Are you eager to learn new tools, master emerging software, and make a real impact on how our client operates? If so, wed love to hear from you. We are looking for DevOps Engineers at all experience levels to join our clients growing team. Youll work in small, agile delivery teams on exciting, challenging projects that solve real-world problems with a direct impact. About the Role As a DevOps Engineer, youll play a key role in designing, building, and supporting secure, efficient, and scalable systems. You will work closely with multi-skilled feature teams to: Develop, test, deploy, release, operate, and monitor software products. Design and manage automated CI/CD pipelines. Build and operate shared platform services for deployment, operation, and monitoring. Create infrastructure using Infrastructure as Code (IaC) principles. Deploy and operate products in AWS, Azure, and on-premises environments. Support teams in adopting and optimising shared platform services. About You Youll enjoy working on complex and varied projects, and youll have a proactive, can-do attitude with a passion for continuous learning. Essential experience: Building and deploying secure products using modern technology and patterns. Familiarity with AWS and/or Azure concepts and services. Designing and running reliable, scalable shared solutions. Working across the full Software Development Lifecycle (SDLC). Delivering in agile environments using Scrum or Kanban. Engaging with senior stakeholders. Desirable (not essential):Experience or certifications in: GitLab, Jenkins, Kubernetes, Docker, Terraform, Packer, Vault, Serverless, Elastic Stack, Prometheus, Grafana, Artifactory, Nexus. Why Join? Work on mission-critical projects that make a real difference. Be part of a team that embraces innovation, diversity, and inclusion. Access ongoing training and certifications to keep your skills sharp. Join a supportive environment that values collaboration and knowledge sharing. Ready to build, innovate, and deliver? Apply now and help shape the future of secure, scalable technology. Qualifications: Design and manage automated CI/CD pipelines. Build and operate shared platform services for deployment, operation, and monitoring. Create infrastructure using Infrastructure as Code (IaC) principles. Why is This a Great Opportunity: Flexitime 37.5 hrs/week, structured your way Learning budget for training, certifications, and conferences Private healthcare and matched pension Monthly socials and quarterly company meetups Career growth in a fast-moving, meaningful sector Salary Type : Annual Salary Salary Min : £ 40000 Salary Max : £ 70000 Currency Type : GBP
22/01/2026
Full time
Job description: Can you think strategically and join the dots across multiple activities to build the bigger picture?Do you thrive in fast-paced environments, spotting opportunities for improvement and innovation? Are you eager to learn new tools, master emerging software, and make a real impact on how our client operates? If so, wed love to hear from you. We are looking for DevOps Engineers at all experience levels to join our clients growing team. Youll work in small, agile delivery teams on exciting, challenging projects that solve real-world problems with a direct impact. About the Role As a DevOps Engineer, youll play a key role in designing, building, and supporting secure, efficient, and scalable systems. You will work closely with multi-skilled feature teams to: Develop, test, deploy, release, operate, and monitor software products. Design and manage automated CI/CD pipelines. Build and operate shared platform services for deployment, operation, and monitoring. Create infrastructure using Infrastructure as Code (IaC) principles. Deploy and operate products in AWS, Azure, and on-premises environments. Support teams in adopting and optimising shared platform services. About You Youll enjoy working on complex and varied projects, and youll have a proactive, can-do attitude with a passion for continuous learning. Essential experience: Building and deploying secure products using modern technology and patterns. Familiarity with AWS and/or Azure concepts and services. Designing and running reliable, scalable shared solutions. Working across the full Software Development Lifecycle (SDLC). Delivering in agile environments using Scrum or Kanban. Engaging with senior stakeholders. Desirable (not essential):Experience or certifications in: GitLab, Jenkins, Kubernetes, Docker, Terraform, Packer, Vault, Serverless, Elastic Stack, Prometheus, Grafana, Artifactory, Nexus. Why Join? Work on mission-critical projects that make a real difference. Be part of a team that embraces innovation, diversity, and inclusion. Access ongoing training and certifications to keep your skills sharp. Join a supportive environment that values collaboration and knowledge sharing. Ready to build, innovate, and deliver? Apply now and help shape the future of secure, scalable technology. Qualifications: Design and manage automated CI/CD pipelines. Build and operate shared platform services for deployment, operation, and monitoring. Create infrastructure using Infrastructure as Code (IaC) principles. Why is This a Great Opportunity: Flexitime 37.5 hrs/week, structured your way Learning budget for training, certifications, and conferences Private healthcare and matched pension Monthly socials and quarterly company meetups Career growth in a fast-moving, meaningful sector Salary Type : Annual Salary Salary Min : £ 40000 Salary Max : £ 70000 Currency Type : GBP
Job description: Our client is a high-performing Defence and National Security consultancy delivering classified, mission-critical programmes across UK Government. Their teams design and implement secure data platforms that enable intelligence operations, cyber defence, automation and AI-driven decision making. Due to continued programme growth, they are now hiring a Data Architect to lead architecture design, governance and modernisation across multiple secure environments. The Role You will be responsible for shaping enterprise-level data architecture strategy, defining standards, and ensuring platforms are secure, scalable and future-ready. This role sits at the heart of national security delivery and offers genuine technical influence across multiple long-term Defence programmes. Regular travel to London is required. Key Responsibilities Lead data architecture strategy and standards across Defence programmes Assess legacy platforms and define modernisation roadmaps Design secure, scalable data models and integration patterns Own data governance, interoperability and compliance frameworks Enable AI/ML, analytics and automation through robust data platforms Work closely with engineering, analytics and senior stakeholders Maintain enterprise architecture artefacts and documentation Candidate Requirements Strong experience as a Data Architect in complex or regulated environments Expertise in relational, NoSQL and cloud data architectures Experience modernising enterprise data platforms Knowledge of: Data governance, standards & ethics Secure cross-domain data sharing Analytics & visualisation platforms Experience with Azure, AWS or GCP ecosystems Scripting / automation experience beneficial Clearance Criteria British citizen UK resident for the last 5 years Eligible for high-level UK security clearance Whats On Offer Highly competitive salary & benefits Hybrid and flexible working Funded training & clear progression routes Long-term, secure Defence programmes Collaborative, technically excellent teams Why Apply? Architect data platforms that directly support UK Defence and National Security operations, while building a long-term, well-rewarded career in one of the UKs most secure and strategically important technical sectors. Qualifications: You will be an experienced Data Architect with a background in secure or highly regulated environments. Why is This a Great Opportunity: Highly competitive salary (dependent on clearance & experience) Hybrid & flexible working Generous L&D budget, career coaching & funded training Matched pension & healthcare Supportive, collaborative culture with regular team socials
22/01/2026
Full time
Job description: Our client is a high-performing Defence and National Security consultancy delivering classified, mission-critical programmes across UK Government. Their teams design and implement secure data platforms that enable intelligence operations, cyber defence, automation and AI-driven decision making. Due to continued programme growth, they are now hiring a Data Architect to lead architecture design, governance and modernisation across multiple secure environments. The Role You will be responsible for shaping enterprise-level data architecture strategy, defining standards, and ensuring platforms are secure, scalable and future-ready. This role sits at the heart of national security delivery and offers genuine technical influence across multiple long-term Defence programmes. Regular travel to London is required. Key Responsibilities Lead data architecture strategy and standards across Defence programmes Assess legacy platforms and define modernisation roadmaps Design secure, scalable data models and integration patterns Own data governance, interoperability and compliance frameworks Enable AI/ML, analytics and automation through robust data platforms Work closely with engineering, analytics and senior stakeholders Maintain enterprise architecture artefacts and documentation Candidate Requirements Strong experience as a Data Architect in complex or regulated environments Expertise in relational, NoSQL and cloud data architectures Experience modernising enterprise data platforms Knowledge of: Data governance, standards & ethics Secure cross-domain data sharing Analytics & visualisation platforms Experience with Azure, AWS or GCP ecosystems Scripting / automation experience beneficial Clearance Criteria British citizen UK resident for the last 5 years Eligible for high-level UK security clearance Whats On Offer Highly competitive salary & benefits Hybrid and flexible working Funded training & clear progression routes Long-term, secure Defence programmes Collaborative, technically excellent teams Why Apply? Architect data platforms that directly support UK Defence and National Security operations, while building a long-term, well-rewarded career in one of the UKs most secure and strategically important technical sectors. Qualifications: You will be an experienced Data Architect with a background in secure or highly regulated environments. Why is This a Great Opportunity: Highly competitive salary (dependent on clearance & experience) Hybrid & flexible working Generous L&D budget, career coaching & funded training Matched pension & healthcare Supportive, collaborative culture with regular team socials
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
