Description Summary: Working as part of a team to establish a new way of Digital Trading within the Global Insurance Industry, you will work collaboratively with the Head of Technology and your peers to support both the set up and subsequent rapid growth journey of a new part of WTW, winning new customers and expanding into new markets internationally. The Role: Neuron is seeking a highly capable Principal Engineer to act as a senior technical leader responsible for two core pillars of impact: They will spend about 70% of their time evaluating, elevating, and maintaining engineering resilience continuously assessing our codebase, developer tooling, testing practices, standards, and operational health against Neuron's engineering vision. They own the technical bar for engineering excellence, with full authority to research, propose, and drive solutions to uphold it, including personally tackling the most complex technical work (up to 15% of their capacity). They coach and enable platform and product teams to deliver with clarity and precision, primarily by automating repetitive tasks and creating documentation that defines how teams operate. The final 30% is spent acting as a strategic technical partner to the Digital Product team, bridging the gap between product vision and technical reality. This involves illuminating what is feasible, guiding product teams on reusable service/component opportunities, and ensuring concepts are mature and well articulated to support efficient technical design and delivery. This role demands a hands on, self starting and thoughtful leader who blends deep technical expertise with strong communication and collaboration skills, driving robust, scalable, and maintainable solutions that meet both business and technical needs. Key responsibilities of this role include: Engineering Resilience & Delivery Enablement (70%) Assess the current state of the codebase, developer tooling, testing coverage, engineering standards, and operations to identify and prioritise improvement opportunities with a view to creating a resilient, consistently scalable platform. Define and communicate expectations for engineering resilience, maintainability, and operational excellence. Deliver personally the most technically challenging % of critical improvements, including complex refactoring and architecture enhancements. Collaborate with the Technical Product Owner to clearly define and prepare the remaining backlog of engineering improvements for execution by platform and product teams. Establish, promote, and enforce engineering standards around code quality, testing, and tooling. Facilitate root cause analysis and lead systemic remediation of production incidents. Advocate for continuous reduction of technical debt and foster a culture of craftsmanship and operational rigor. Product Technical Partnership & Reusability (30%) Act as the primary technical liaison to Digital Product, providing clear, honest guidance on what is feasible and the technical implications of product requests. Partner with product teams early in the idea and requirements phase to ensure concepts are sufficiently defined and technically viable. Champion the design and build of reusable backend services and components that can be leveraged across multiple business areas. Collaborate with product leadership to prioritise work that maximises reuse and technical efficiency. Help bridge the gap between product vision and engineering execution, ensuring smoother delivery and alignment on scope and timelines. Qualifications The Requirements: Critical: Extensive years' experience in backend software engineering with strong expertise in MuleSoft, APIs, distributed systems, and scalable architectures. Proven ability to assess technical landscapes, identify gaps, and drive engineering improvement initiatives. Strong track record of personally delivering complex technical work and enabling teams to deliver effectively. Excellent communication and collaboration skills, able to translate technical realities into clear guidance for product teams. Experience working closely with product managers or product owners to shape requirements and technical approaches. Skilled mentor and influencer capable of driving adoption of engineering standards. Deep understanding of developer tooling, CI/CD, automated testing, and operational monitoring. Ability to act as an escalation point for complex technical and architectural challenges. Preferred Familiarity with cloud platforms (min. Azure & AWS) and container orchestration (Kubernetes). Knowledge of reusable service/component design patterns and API-first development. Experience in domain-driven design and event-driven architectures. Strong background operating and running Agile software development and continuous delivery processes. Previous experience in technical partnership roles or bridging product and engineering. Role-Specific Tools & Technologies Core Tools: MuleSoft, REST APIs, MongoDB. Cloud & Infrastructure: Azure, AWS, Terraform, Kubernetes. Success In This Role Looks Like Comprehensive assessment of codebase, tooling, testing, and operational health completed, vision of improvements and a strategic implementation plan communicated. A prioritised, well defined backlog of engineering improvements prepared and actively delivered by platform and product teams. Delivery of the hardest 5-15% of critical technical improvements with measurable impact on resilience and maintainability. Established and authored engineering standards, widely adopted across teams. Defined and ongoing delivery of reusable backend services/components aligned with business priorities. Clear, trusted technical partnership with Digital Product; product concepts consistently mature and delivery ready. Mentor and elevate senior developers to have increased technical product knowledge. Please note that this is a hybrid role, requiring 2 days per week in the office, and based in the London office. Benefits - GB Enjoy a benefits package designed to help you thrive, both professionally and personally. You'll receive 25 days of annual leave plus an extra WTW day to relax and recharge. Our comprehensive health and wellbeing offering includes private healthcare, life insurance, group income protection, and regular health assessments, all giving you peace of mind. Secure your future with our defined contribution pension scheme, featuring matched contributions up to 10% from the company. We support your growth and balance with hybrid working options, access to an employee assistance programme, and a fully paid volunteer day to make a difference in your community. On top of these, you can opt into a variety of additional perks including an electric vehicle car scheme, share scheme, cycle to work programme, dental and optical cover, critical illness protection, and much more. Start making the most of your career and wellbeing with a range of benefits tailored for you. At WTW, we believe difference makes us stronger. We want our workforce to reflect the different and varied markets we operate in and to build a culture of inclusivity that makes colleagues feel welcome, valued, and empowered to bring their whole selves to work every day. We are an equal opportunity employer committed to fostering an inclusive work environment throughout our organisation. We embrace all types of diversity. We're committed to equal employment opportunity and provide application, interview and workplace adjustments and accommodations to all applicants. If you foresee any barriers, from the application process through to joining WTW, please email
Jan 28, 2026
Full time
Description Summary: Working as part of a team to establish a new way of Digital Trading within the Global Insurance Industry, you will work collaboratively with the Head of Technology and your peers to support both the set up and subsequent rapid growth journey of a new part of WTW, winning new customers and expanding into new markets internationally. The Role: Neuron is seeking a highly capable Principal Engineer to act as a senior technical leader responsible for two core pillars of impact: They will spend about 70% of their time evaluating, elevating, and maintaining engineering resilience continuously assessing our codebase, developer tooling, testing practices, standards, and operational health against Neuron's engineering vision. They own the technical bar for engineering excellence, with full authority to research, propose, and drive solutions to uphold it, including personally tackling the most complex technical work (up to 15% of their capacity). They coach and enable platform and product teams to deliver with clarity and precision, primarily by automating repetitive tasks and creating documentation that defines how teams operate. The final 30% is spent acting as a strategic technical partner to the Digital Product team, bridging the gap between product vision and technical reality. This involves illuminating what is feasible, guiding product teams on reusable service/component opportunities, and ensuring concepts are mature and well articulated to support efficient technical design and delivery. This role demands a hands on, self starting and thoughtful leader who blends deep technical expertise with strong communication and collaboration skills, driving robust, scalable, and maintainable solutions that meet both business and technical needs. Key responsibilities of this role include: Engineering Resilience & Delivery Enablement (70%) Assess the current state of the codebase, developer tooling, testing coverage, engineering standards, and operations to identify and prioritise improvement opportunities with a view to creating a resilient, consistently scalable platform. Define and communicate expectations for engineering resilience, maintainability, and operational excellence. Deliver personally the most technically challenging % of critical improvements, including complex refactoring and architecture enhancements. Collaborate with the Technical Product Owner to clearly define and prepare the remaining backlog of engineering improvements for execution by platform and product teams. Establish, promote, and enforce engineering standards around code quality, testing, and tooling. Facilitate root cause analysis and lead systemic remediation of production incidents. Advocate for continuous reduction of technical debt and foster a culture of craftsmanship and operational rigor. Product Technical Partnership & Reusability (30%) Act as the primary technical liaison to Digital Product, providing clear, honest guidance on what is feasible and the technical implications of product requests. Partner with product teams early in the idea and requirements phase to ensure concepts are sufficiently defined and technically viable. Champion the design and build of reusable backend services and components that can be leveraged across multiple business areas. Collaborate with product leadership to prioritise work that maximises reuse and technical efficiency. Help bridge the gap between product vision and engineering execution, ensuring smoother delivery and alignment on scope and timelines. Qualifications The Requirements: Critical: Extensive years' experience in backend software engineering with strong expertise in MuleSoft, APIs, distributed systems, and scalable architectures. Proven ability to assess technical landscapes, identify gaps, and drive engineering improvement initiatives. Strong track record of personally delivering complex technical work and enabling teams to deliver effectively. Excellent communication and collaboration skills, able to translate technical realities into clear guidance for product teams. Experience working closely with product managers or product owners to shape requirements and technical approaches. Skilled mentor and influencer capable of driving adoption of engineering standards. Deep understanding of developer tooling, CI/CD, automated testing, and operational monitoring. Ability to act as an escalation point for complex technical and architectural challenges. Preferred Familiarity with cloud platforms (min. Azure & AWS) and container orchestration (Kubernetes). Knowledge of reusable service/component design patterns and API-first development. Experience in domain-driven design and event-driven architectures. Strong background operating and running Agile software development and continuous delivery processes. Previous experience in technical partnership roles or bridging product and engineering. Role-Specific Tools & Technologies Core Tools: MuleSoft, REST APIs, MongoDB. Cloud & Infrastructure: Azure, AWS, Terraform, Kubernetes. Success In This Role Looks Like Comprehensive assessment of codebase, tooling, testing, and operational health completed, vision of improvements and a strategic implementation plan communicated. A prioritised, well defined backlog of engineering improvements prepared and actively delivered by platform and product teams. Delivery of the hardest 5-15% of critical technical improvements with measurable impact on resilience and maintainability. Established and authored engineering standards, widely adopted across teams. Defined and ongoing delivery of reusable backend services/components aligned with business priorities. Clear, trusted technical partnership with Digital Product; product concepts consistently mature and delivery ready. Mentor and elevate senior developers to have increased technical product knowledge. Please note that this is a hybrid role, requiring 2 days per week in the office, and based in the London office. Benefits - GB Enjoy a benefits package designed to help you thrive, both professionally and personally. You'll receive 25 days of annual leave plus an extra WTW day to relax and recharge. Our comprehensive health and wellbeing offering includes private healthcare, life insurance, group income protection, and regular health assessments, all giving you peace of mind. Secure your future with our defined contribution pension scheme, featuring matched contributions up to 10% from the company. We support your growth and balance with hybrid working options, access to an employee assistance programme, and a fully paid volunteer day to make a difference in your community. On top of these, you can opt into a variety of additional perks including an electric vehicle car scheme, share scheme, cycle to work programme, dental and optical cover, critical illness protection, and much more. Start making the most of your career and wellbeing with a range of benefits tailored for you. At WTW, we believe difference makes us stronger. We want our workforce to reflect the different and varied markets we operate in and to build a culture of inclusivity that makes colleagues feel welcome, valued, and empowered to bring their whole selves to work every day. We are an equal opportunity employer committed to fostering an inclusive work environment throughout our organisation. We embrace all types of diversity. We're committed to equal employment opportunity and provide application, interview and workplace adjustments and accommodations to all applicants. If you foresee any barriers, from the application process through to joining WTW, please email
Summary Responsibility: Plan and execute Valink's data strategy to build predictive models for drug discovery and drug positioning Salary: Competitive salary at Director or Principal level, depending on experience Starting date: Jan-Feb 2026 Location: White City, London, UK About Us Valink Therapeutics is a spinout from the University of Oxford with a mission to revolutionise the field of bispecific antibody drug conjugate (bsADC) discovery. We have developed the most advanced drug discovery platform for complex modalities, capable of generating and screening over 1,000 drug candidates per week to uncover novel, first in class bsADCs that others cannot. Our approach generates a rich dataset capturing cytotoxicity, target expression, payload sensitivity, and related correlations, offering high potential for integration into predictive models that accelerate and enhance future drug discovery efforts. Role Summary The Principal Data Scientist will help shape and execute our strategy for integrating proprietary screening data with internal & external biological datasets to identify and prioritise drug candidates for testing. This role is hands on: on top of shaping Valink's strategic input on data analysis approaches and AI driven predictive modelling, the profile will also build prototype pipelines, curate relevant datasets, and validate methodologies that will inform the longer term development of our in house AI platform. Key Responsibilities Driving Data Strategy Determine appropriate models and computational frameworks for predictive drug target sensitivity analysis. Inform on infrastructure, data architecture, and workflow considerations for scalable AI adoption. Data Curation, Integration and Analytics Identify, source, and curate publicly available datasets (cell lines, patient data, target expression, protein/compound databases). Harmonise and integrate these external resources with Valink's internal phenotypic and screening data. Ensure data quality, interoperability, and relevance for downstream predictive modelling. Perform EDA to uncover patterns, trends and outliers in our data to augment downstream design and modelling processes. Model Prototyping & Development Build and test machine learning pipelines to predict correlations between cytotoxicity, target expression, and payload sensitivity. Explore applications of AI driven drug positioning approaches to support candidate selection. Benchmark different models and methods and evaluate trade offs to derive the best model. Turn model outputs into clear insights and visualisations that biologists can act on, helping teams move from hit discovery to candidate optimisation. Collaboration & Knowledge Transfer Act as a technical partner to the Platform and Asset teams, translating research questions into AI solutions. Work alongside the wet lab scientists to design new screening campaigns, using model predictions to guide assay set ups and hit selection. Provide clear documentation, recommendations, and interim solutions that can be scaled internally. Essential Requirements PhD or MSc in Computational Biology, Bioinformatics, Computer Science, or related discipline. 5+ years of experience in industry or academia applying biostatistics and machine learning to biomedical datasets, particularly in areas such as drug positioning, drug repurposing, pharmacogenomics, or precision medicine. Demonstrated ability to work with large scale public datasets (e.g., DepMap, CCLE, LINCS, GDSC, TCGA, UniProt). Expertise in building data pipelines and predictive models using Python/R and ML frameworks (e.g., scikit learn, TensorFlow, PyTorch). Solid grasp of relational databases and proficiency in writing SQL queries Familiarity with high throughput screening data, cytotoxicity assays, or drug sensitivity profiling a strong plus. Hands on, problem solving mindset with the ability to balance strategic advisory with technical execution. Strong communication skills and ability to collaborate across discipline Proficient in mathematical and statistical skills required for machine learning and AI Desirable Experience leading complex scientific projects in an industrial research setting working alongside wet lab scientists. Familiarity with laboratory automation, high throughput screening, and experimental design for drug discovery. Familiarity with cloud computing environments for large scale data analysis. What we offer Competitive salary Stock option plan 25 days of holiday, plus bank holidays Bupa private medical insurance and life assurance YuLife wellbeing engagement Matched pension Flexible working hours Hybrid working location Cyclescheme
Jan 28, 2026
Full time
Summary Responsibility: Plan and execute Valink's data strategy to build predictive models for drug discovery and drug positioning Salary: Competitive salary at Director or Principal level, depending on experience Starting date: Jan-Feb 2026 Location: White City, London, UK About Us Valink Therapeutics is a spinout from the University of Oxford with a mission to revolutionise the field of bispecific antibody drug conjugate (bsADC) discovery. We have developed the most advanced drug discovery platform for complex modalities, capable of generating and screening over 1,000 drug candidates per week to uncover novel, first in class bsADCs that others cannot. Our approach generates a rich dataset capturing cytotoxicity, target expression, payload sensitivity, and related correlations, offering high potential for integration into predictive models that accelerate and enhance future drug discovery efforts. Role Summary The Principal Data Scientist will help shape and execute our strategy for integrating proprietary screening data with internal & external biological datasets to identify and prioritise drug candidates for testing. This role is hands on: on top of shaping Valink's strategic input on data analysis approaches and AI driven predictive modelling, the profile will also build prototype pipelines, curate relevant datasets, and validate methodologies that will inform the longer term development of our in house AI platform. Key Responsibilities Driving Data Strategy Determine appropriate models and computational frameworks for predictive drug target sensitivity analysis. Inform on infrastructure, data architecture, and workflow considerations for scalable AI adoption. Data Curation, Integration and Analytics Identify, source, and curate publicly available datasets (cell lines, patient data, target expression, protein/compound databases). Harmonise and integrate these external resources with Valink's internal phenotypic and screening data. Ensure data quality, interoperability, and relevance for downstream predictive modelling. Perform EDA to uncover patterns, trends and outliers in our data to augment downstream design and modelling processes. Model Prototyping & Development Build and test machine learning pipelines to predict correlations between cytotoxicity, target expression, and payload sensitivity. Explore applications of AI driven drug positioning approaches to support candidate selection. Benchmark different models and methods and evaluate trade offs to derive the best model. Turn model outputs into clear insights and visualisations that biologists can act on, helping teams move from hit discovery to candidate optimisation. Collaboration & Knowledge Transfer Act as a technical partner to the Platform and Asset teams, translating research questions into AI solutions. Work alongside the wet lab scientists to design new screening campaigns, using model predictions to guide assay set ups and hit selection. Provide clear documentation, recommendations, and interim solutions that can be scaled internally. Essential Requirements PhD or MSc in Computational Biology, Bioinformatics, Computer Science, or related discipline. 5+ years of experience in industry or academia applying biostatistics and machine learning to biomedical datasets, particularly in areas such as drug positioning, drug repurposing, pharmacogenomics, or precision medicine. Demonstrated ability to work with large scale public datasets (e.g., DepMap, CCLE, LINCS, GDSC, TCGA, UniProt). Expertise in building data pipelines and predictive models using Python/R and ML frameworks (e.g., scikit learn, TensorFlow, PyTorch). Solid grasp of relational databases and proficiency in writing SQL queries Familiarity with high throughput screening data, cytotoxicity assays, or drug sensitivity profiling a strong plus. Hands on, problem solving mindset with the ability to balance strategic advisory with technical execution. Strong communication skills and ability to collaborate across discipline Proficient in mathematical and statistical skills required for machine learning and AI Desirable Experience leading complex scientific projects in an industrial research setting working alongside wet lab scientists. Familiarity with laboratory automation, high throughput screening, and experimental design for drug discovery. Familiarity with cloud computing environments for large scale data analysis. What we offer Competitive salary Stock option plan 25 days of holiday, plus bank holidays Bupa private medical insurance and life assurance YuLife wellbeing engagement Matched pension Flexible working hours Hybrid working location Cyclescheme
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.
Jan 28, 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.
A global banking institution is seeking a Principal Enterprise Architect for Identity and Access Management in Greater London. This role involves defining the IAM strategy and directing a global architecture practice, ensuring compliance with operational risk frameworks. Candidates should possess expertise in Identity Management, Cloud computing, and APIs, alongside experience in senior leadership roles. The position fosters a diverse and inclusive work environment, aiming to attract high-performing talent from varied backgrounds.
Jan 28, 2026
Full time
A global banking institution is seeking a Principal Enterprise Architect for Identity and Access Management in Greater London. This role involves defining the IAM strategy and directing a global architecture practice, ensuring compliance with operational risk frameworks. Candidates should possess expertise in Identity Management, Cloud computing, and APIs, alongside experience in senior leadership roles. The position fosters a diverse and inclusive work environment, aiming to attract high-performing talent from varied backgrounds.
Join a digital first bank that's powered by people. About Join a digital-first bank that's powered by people. Our technology team builds innovative digital solutions rapidly and at scale to deliver the next generation of banking services for our customers around the world. Help shape the future of digital-first banking for our customers. We are currently seeking an experienced professional to join our team in the role of Principal Enterprise Architect for Identity and Access Management. You'll partner with management across Technology to define the IAM strategy that will define the future technology state to enable our business strategy. You'll manage the IAM Architects to deliver the strategy, fostering an inclusive of collaboration, innovation, and excellence; whilst improving the customer experience. You'll be responsible and accountable for directing the operation of the global architecture practice for IAM, including design choices and business strategy, satisfying all relevant regulatory and operational risk controls. You'll manage the Enterprise IAM (EIAM) and Customer IAM (CIAM) foundational areas, including Authentication (MFA, Passwordless), Authorization, Privileged Access Management (PAM), identity and access governance, identity federation, secrets management, role-based access etc. Job Requirements Impact on the Business/Function Define, maintain, and own the IAM architecture strategy and roadmap, incorporating ZeroTrust as appropriate, ensuring alignment to other HSBC technology strategies and providing Design Authority sponsorship for major IAM initiatives across the Group. Provide assurance of the solutions designs produced within Cybersecurity and support the Engineering teams in the production of execution plans in executing the Strategies. Introduce new practices, processes, operating model, techniques, products, services, technologies and standards where needed. Customers / Stakeholders Create a customer-centric culture, building sustainable customer strategies based on customer insight and regional markets. Build and maintain strategic stakeholder relationships at all levels: across Global Businesses and Technology and key strategic partnerships with third parties. Influential across both HSBC's business and technology executives to drive the realisation of our Technology strategy Leadership & Teamwork Enable the Cybersecurity Architecture organisation to achieve business outcomes by empowering developers with world-class technology and practices. Co-manage the Cybersecurity Architecture hiring strategy to ensure we are attracting diverse high-performing talent. Create an architecture culture that fosters experimentation and learning and on financial discipline Operational Effectiveness & Control Ensure adherence to, and manage effectively against HSBC's Operational Risk Management Framework, HSBC's Controls, Functional Instruction Manual (FIM) and external regulatory requirements. Ensures Architecture adheres to ethical behaviour / HSBC's values. Manage architecture and product reviews through the appropriate governance mechanisms ensuring peer review of all activities. Qualification and Skills Provide expert knowledge & expertise in design of the following key capabilities: Identity and Credential Management Authentication AuthZ / Access Control Accounting User, Behaviour and Biometrics Analytics Fraud Detection & Prevention Access Governance Secrets Management Privileged Access Management IAM Tooling, including Privilege Access Management Monitoring Significant expertise in: APIs; Cloud computing (GCP and AWS); Event Streaming (Kafka); AI / Machine Learning / GenAI; Platform Engineering; and DevSecOps. Experience of applying modern architecture: APIs, micro services, data foundation, advanced analytics / Machine Learning and directing Cloud provider capabilities. Hands-on expertise of multiple coding languages e.g., Java, Python, Rust; & software development frameworks. Extensive experience in senior Architecture / Cybersecurity leadership roles within large scale, complex and international organisations. Recognised expertise through Industry qualifications (such as CISSP, CISM, ISSAP, CCSP etc.). Contributions in the scientific community, speaking experience, or presence in the open-source community. Demonstrate knowledge of financial services, with a particular focus on the implications of IAM for HSBC's three global businesses and supporting functions. Experience in planning and managing significant expenditure in a complex organisation, with deep financial and commercial awareness. Knowledge of the external environment and drivers - regulatory, political, competitor and market. Strong strategic thinking and problem-solving abilities with a track record of driving innovative technical solutions and continuous improvement. Experience of managing people within a complex matrix environment, globally across cultures. Provide technical thought leadership in evaluation of new technologies Being open to different points of view is important for our business and the communities we serve. At HSBC, we're dedicated to creating diverse and inclusive workplaces - no matter their gender, ethnicity, disability, religion, sexual orientation, or age. We are committed to removing barriers and ensuring careers at HSBC are inclusive and accessible for everyone to be at their best. We take pride in being a Disability Confident Leader and will offer an interview to people with disabilities, long term conditions or neurodivergent candidates who meet the minimum criteria for the role. If you have a need that requires accommodations or changes during the recruitment process, please get in touch with our Recruitment Helpdesk: Email: Telephone:
Jan 28, 2026
Full time
Join a digital first bank that's powered by people. About Join a digital-first bank that's powered by people. Our technology team builds innovative digital solutions rapidly and at scale to deliver the next generation of banking services for our customers around the world. Help shape the future of digital-first banking for our customers. We are currently seeking an experienced professional to join our team in the role of Principal Enterprise Architect for Identity and Access Management. You'll partner with management across Technology to define the IAM strategy that will define the future technology state to enable our business strategy. You'll manage the IAM Architects to deliver the strategy, fostering an inclusive of collaboration, innovation, and excellence; whilst improving the customer experience. You'll be responsible and accountable for directing the operation of the global architecture practice for IAM, including design choices and business strategy, satisfying all relevant regulatory and operational risk controls. You'll manage the Enterprise IAM (EIAM) and Customer IAM (CIAM) foundational areas, including Authentication (MFA, Passwordless), Authorization, Privileged Access Management (PAM), identity and access governance, identity federation, secrets management, role-based access etc. Job Requirements Impact on the Business/Function Define, maintain, and own the IAM architecture strategy and roadmap, incorporating ZeroTrust as appropriate, ensuring alignment to other HSBC technology strategies and providing Design Authority sponsorship for major IAM initiatives across the Group. Provide assurance of the solutions designs produced within Cybersecurity and support the Engineering teams in the production of execution plans in executing the Strategies. Introduce new practices, processes, operating model, techniques, products, services, technologies and standards where needed. Customers / Stakeholders Create a customer-centric culture, building sustainable customer strategies based on customer insight and regional markets. Build and maintain strategic stakeholder relationships at all levels: across Global Businesses and Technology and key strategic partnerships with third parties. Influential across both HSBC's business and technology executives to drive the realisation of our Technology strategy Leadership & Teamwork Enable the Cybersecurity Architecture organisation to achieve business outcomes by empowering developers with world-class technology and practices. Co-manage the Cybersecurity Architecture hiring strategy to ensure we are attracting diverse high-performing talent. Create an architecture culture that fosters experimentation and learning and on financial discipline Operational Effectiveness & Control Ensure adherence to, and manage effectively against HSBC's Operational Risk Management Framework, HSBC's Controls, Functional Instruction Manual (FIM) and external regulatory requirements. Ensures Architecture adheres to ethical behaviour / HSBC's values. Manage architecture and product reviews through the appropriate governance mechanisms ensuring peer review of all activities. Qualification and Skills Provide expert knowledge & expertise in design of the following key capabilities: Identity and Credential Management Authentication AuthZ / Access Control Accounting User, Behaviour and Biometrics Analytics Fraud Detection & Prevention Access Governance Secrets Management Privileged Access Management IAM Tooling, including Privilege Access Management Monitoring Significant expertise in: APIs; Cloud computing (GCP and AWS); Event Streaming (Kafka); AI / Machine Learning / GenAI; Platform Engineering; and DevSecOps. Experience of applying modern architecture: APIs, micro services, data foundation, advanced analytics / Machine Learning and directing Cloud provider capabilities. Hands-on expertise of multiple coding languages e.g., Java, Python, Rust; & software development frameworks. Extensive experience in senior Architecture / Cybersecurity leadership roles within large scale, complex and international organisations. Recognised expertise through Industry qualifications (such as CISSP, CISM, ISSAP, CCSP etc.). Contributions in the scientific community, speaking experience, or presence in the open-source community. Demonstrate knowledge of financial services, with a particular focus on the implications of IAM for HSBC's three global businesses and supporting functions. Experience in planning and managing significant expenditure in a complex organisation, with deep financial and commercial awareness. Knowledge of the external environment and drivers - regulatory, political, competitor and market. Strong strategic thinking and problem-solving abilities with a track record of driving innovative technical solutions and continuous improvement. Experience of managing people within a complex matrix environment, globally across cultures. Provide technical thought leadership in evaluation of new technologies Being open to different points of view is important for our business and the communities we serve. At HSBC, we're dedicated to creating diverse and inclusive workplaces - no matter their gender, ethnicity, disability, religion, sexual orientation, or age. We are committed to removing barriers and ensuring careers at HSBC are inclusive and accessible for everyone to be at their best. We take pride in being a Disability Confident Leader and will offer an interview to people with disabilities, long term conditions or neurodivergent candidates who meet the minimum criteria for the role. If you have a need that requires accommodations or changes during the recruitment process, please get in touch with our Recruitment Helpdesk: Email: Telephone:
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.
Jan 27, 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.
Jan 27, 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.
Jan 27, 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.
Jan 27, 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.
Jan 27, 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.
Jan 27, 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.
Jan 27, 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.
Jan 27, 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.
Jan 27, 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.
Principal Electrical Engineer - Data Center Remote - West Coast/PT Time zone Competitive Base + Equity About them: A fast-scaling AI cloud platform is redefining what's possible in AI infrastructure. Backed by the world's top labs, they're powering the next generation of breakthroughs with fully managed, multi-thousand GPU clusters: zero setup, zero hassle, just high-performance compute that works. Now, they're looking for elite Construction and Engineering professionals like YOU to bring it all together, delivering next-generation infrastructure that powers the future of AI. This is your opportunity to help build the physical backbone behind the world's most advanced compute platform. Want in? Let's see what you need to bring: B.S/B.E/B.A degree in Electrical engineering discipline. 10+ years designing datacenter and mission-critical electrical systems and knowledge on on AI / HPC data centres. Expert in NEC, IEC and IEEE standards; ETAP or SKM modelling proficiency. Familiar with liquid-cooled rack power delivery, blind-mate busbars and 48 VDC architectures. PE/Chartered Electrical Engineer strongly preferred. Want to know more about what you will be doing? Give me a call to discuss T: +1 E :
Jan 26, 2026
Full time
Principal Electrical Engineer - Data Center Remote - West Coast/PT Time zone Competitive Base + Equity About them: A fast-scaling AI cloud platform is redefining what's possible in AI infrastructure. Backed by the world's top labs, they're powering the next generation of breakthroughs with fully managed, multi-thousand GPU clusters: zero setup, zero hassle, just high-performance compute that works. Now, they're looking for elite Construction and Engineering professionals like YOU to bring it all together, delivering next-generation infrastructure that powers the future of AI. This is your opportunity to help build the physical backbone behind the world's most advanced compute platform. Want in? Let's see what you need to bring: B.S/B.E/B.A degree in Electrical engineering discipline. 10+ years designing datacenter and mission-critical electrical systems and knowledge on on AI / HPC data centres. Expert in NEC, IEC and IEEE standards; ETAP or SKM modelling proficiency. Familiar with liquid-cooled rack power delivery, blind-mate busbars and 48 VDC architectures. PE/Chartered Electrical Engineer strongly preferred. Want to know more about what you will be doing? Give me a call to discuss T: +1 E :
Sherpany by Datasite is the leading Swiss meeting management solution, designed to meet the unique needs of the board, board committee, and executive meetings. Our solution streamlines the entire meeting process to make meetings more productive and thus enhancing company performance. Our customers include well-known medium to large companies in all industries, such as Axpo, Raiffeisen Bank and Calida Group. More than 400 companies already use Sherpany. We've come a long way since 2011. Sherpany is now a team of 150 talented individuals, working from all around the world. Our culture is rooted in trust and responsibility, and we're proud of the productive and healthy nature of our work environment. Tasks The Principal AI Engineer will define and own the AI technical vision, drive AI strategy, and shape the architecture and technical direction of Sherpany's AI systems. The Principal AI Engineer will lead AI initiatives that align with business objectives, provide clear guidance and best practices to engineering teams, and ensure that AI solutions are robust, secure, and scalable. The new colleagues will collaborate closely with product managers, technical leaders, engineers and data scientists to deliver innovative, state of the art AI solutions. What you'll do: Define and own Sherpany's AI technical vision and drive strategy across the product Shape scalable AI platform architecture and ensure robust, secure solutions Lead design and optimization of on prem AI systems, maintaining data privacy and compliance Guide engineering teams with clear technical direction and best practices Stay ahead of emerging AI technologies and apply them to solve real business problems Collaborate cross functionally with product, engineering and go to market teams to deliver impactful AI solutions Requirements What you bring: 8+ years in AI/ML engineering, with at least 3 years in architectural or principal level roles Deep expertise in Python and AI/ML frameworks (PyTorch, TensorFlow, scikit learn) Strong knowledge of LLMs, RAG, vector databases and orchestration frameworks Experience with secure AI deployments and compliance driven environments Excellent communication skills and ability to explain complex concepts clearly Experience with cloud AI platforms (AWS, Azure, GCP) is a plus for future initiatives Benefits Join a Global Team Where Your Ideas Matter! At Sherpany, you'll be part of an international company with a flat hierarchy, meaning your voice is heard, and you can take on real responsibility from day one! Your ideas? Always welcome. Flexibility & Freedom: We value your work life balance! Enjoy flexible working hours, remote options, and even the chance for an unpaid sabbatical after your first year-perfect for digital nomads. Grow with Us: We invest in your development by offering financial support for further education, training, and more-because your success is our success. Well being Matters: Your mental health is important! That's why we partner with nilo.health to support you. Amazing Team Culture: We believe in fun, collaboration, and meaningful connections-expect awesome team events and a culture driven by strong values.
Jan 25, 2026
Full time
Sherpany by Datasite is the leading Swiss meeting management solution, designed to meet the unique needs of the board, board committee, and executive meetings. Our solution streamlines the entire meeting process to make meetings more productive and thus enhancing company performance. Our customers include well-known medium to large companies in all industries, such as Axpo, Raiffeisen Bank and Calida Group. More than 400 companies already use Sherpany. We've come a long way since 2011. Sherpany is now a team of 150 talented individuals, working from all around the world. Our culture is rooted in trust and responsibility, and we're proud of the productive and healthy nature of our work environment. Tasks The Principal AI Engineer will define and own the AI technical vision, drive AI strategy, and shape the architecture and technical direction of Sherpany's AI systems. The Principal AI Engineer will lead AI initiatives that align with business objectives, provide clear guidance and best practices to engineering teams, and ensure that AI solutions are robust, secure, and scalable. The new colleagues will collaborate closely with product managers, technical leaders, engineers and data scientists to deliver innovative, state of the art AI solutions. What you'll do: Define and own Sherpany's AI technical vision and drive strategy across the product Shape scalable AI platform architecture and ensure robust, secure solutions Lead design and optimization of on prem AI systems, maintaining data privacy and compliance Guide engineering teams with clear technical direction and best practices Stay ahead of emerging AI technologies and apply them to solve real business problems Collaborate cross functionally with product, engineering and go to market teams to deliver impactful AI solutions Requirements What you bring: 8+ years in AI/ML engineering, with at least 3 years in architectural or principal level roles Deep expertise in Python and AI/ML frameworks (PyTorch, TensorFlow, scikit learn) Strong knowledge of LLMs, RAG, vector databases and orchestration frameworks Experience with secure AI deployments and compliance driven environments Excellent communication skills and ability to explain complex concepts clearly Experience with cloud AI platforms (AWS, Azure, GCP) is a plus for future initiatives Benefits Join a Global Team Where Your Ideas Matter! At Sherpany, you'll be part of an international company with a flat hierarchy, meaning your voice is heard, and you can take on real responsibility from day one! Your ideas? Always welcome. Flexibility & Freedom: We value your work life balance! Enjoy flexible working hours, remote options, and even the chance for an unpaid sabbatical after your first year-perfect for digital nomads. Grow with Us: We invest in your development by offering financial support for further education, training, and more-because your success is our success. Well being Matters: Your mental health is important! That's why we partner with nilo.health to support you. Amazing Team Culture: We believe in fun, collaboration, and meaningful connections-expect awesome team events and a culture driven by strong values.
Contract type: Permanent Location: Remote - based in the UK or Ireland Reports to: CEO Overview Kyckr is a fast-scaling SaaS and data company transforming how Financial Crime teams verify businesses. We provide regulated institutions - banks, law firms, payment providers, and more - with the tools to onboard customers, assess risk and maintain ongoing compliance with confidence. Founded as an ambitious attempt to build the world's first truly global business register, we now partner with over 100 of the biggest names in Banking, Fintech and Regtech to power their business verification processes. Our platform provides a single access point to live data from 300+ corporate registries worldwide, normalised and enriched at the point of request. This real-time, source-verified approach is unique in our industry and technically demanding - but it's what makes Kyckr the trusted provider in our space. Recognised as a Category Leader for KYC Data Solutions by Chartis Research in 2024, we've just delivered a record year of growth and are still only getting started. This is a rare opportunity for an outstanding engineering leader to join an ambitious, early-stage business (with substantial family office backing) in a senior management role. As the technical counterpart to a commercially driven CEO, you will: Define and execute our technical strategy. Recruit and develop a world-class engineering team. Shape the product roadmap and guide critical build, buy, and partner decisions. You'll be working alongside alumni of some of the most innovative data companies in the world, gaining exposure to strategic decision-making while helping scale a company with both big ambitions (both organic and M&A) and genuine social purpose. The right candidate will combine vision-setting leadership with hands-on curiosity. If your last GitHub contribution was years ago - or you'd rather talk about AI at conferences than experiment with agents in your own time - this isn't the role for you. We're looking for someone just as comfortable fixing a bug as advising on architectural design, someone who thrives in the "multiple hats" environment of early-stage tech and remains unfazed by shifting priorities. Above all, you're a mature, intrinsically motivated technology leader who loves data. Our daily work spans building API integrations, maintaining robotic data-extraction processes, writing OCR engines, and refactoring data pipelines. At the same time, we're beginning to invest in AI (agentic frameworks, LLMs for data extraction) and data storage innovation. Our stack is hosted on Microsoft Azure (App Services, Azure Functions, and .NET applications on VMs) with Azure SQL databases for data storage and retrieval. We manage delivery through Azure DevOps, including CI/CD pipelines and work item tracking. There are currently 9 people in the team (split across the UK, Ireland, Philippines and Australia) with scope and budget to expand the team in line with our wider strategic goals. Responsibilities Technical Strategy & Delivery: Own solution design and planning for Kyckr applications, services, and supporting Azure infrastructure. Engineering Standards: Set and maintain system architecture standards, ensuring scalability, resilience, and maintainability across the platform. Roadmap Alignment: Partner with the Head of Product to align the roadmap with current delivery and future priorities. Performance & Reliability: Lead performance engineering, ensuring scalability, resilience, and capacity to support projected workloads. Production Excellence: Oversee investigation and root cause analysis of production issues, driving a culture of reliability and continuous improvement. Alignment: Collaborate with the Principal Cloud Engineer to ensure infrastructure and software engineering efforts are fully aligned. KPI Tracking: Define, track, and report on engineering KPIs (e.g., velocity, uptime, deployment frequency, defect rates) to measure delivery effectiveness and system health. Engineering Leadership & Execution: Maintain visibility across all engineering workstreams, providing guidance, unblockers, and technical oversight where required. Mentoring: Pair with developers to support problem-solving, mentor on best practices, and raise overall technical quality. Agile Leadership: Facilitate agile ceremonies (stand-ups, sprint planning, refinement, reviews, retrospectives) and manage team boards and workflows. Capacity Planning: Lead engineering team capacity planning, balancing roadmap delivery, technical debt, and operational maintenance. Documentation: Collaborate on technical documentation to support internal alignment and external needs (e.g. RFPs, due diligence). People & Culture: Provide career leadership: conduct regular 1:1s, support professional development, and align individual goals with Kyckr's mission. Talent Acquisition: Recruit top engineering talent: screening, running technical and culture-fit interviews, and ensuring smooth onboarding with HR. Culture: Foster a high-performance, collaborative culture that embraces accountability, learning, and experimentation. Governance, Security & Compliance: Take ownership of security leadership within engineering: embedding secure-by-design practices, ensuring data protection, and conducting regular threat modelling and reviews. Standards Compliance: Ensure engineering practices and systems comply with ISO27001, SOC2, and other relevant standards. Budget & Reporting: Participate in budget planning and reviews relating to engineering requirements. Stakeholder Reporting: Report regularly to senior management on team milestones, challenges, KPIs, and achievements. Essential Experience (Technical) System architecture & solution design: proven ability to design scalable, secure, and resilient systems, and to lead or review architecture discussions. .NET / C# expertise: extensive experience with .NET Core and .NET Framework, with deep proficiency in C#, applying best practices in design, implementation, testing, and performance optimisation. API development: experience building and supporting RESTful and SOAP APIs, including authentication, versioning, and documentation. Data layer proficiency: solid experience with SQL Server (queries, stored procedures, optimisation) and general database design. Cloud deployment: hands-on experience deploying and running .NET applications and services in Microsoft Azure (VMs, App Services, Azure Functions). CI/CD & DevOps: experience designing and maintaining CI/CD pipelines, Git-based version control, and automated build/test/deploy processes. Production reliability: proven track record of root cause analysis, incident management, and production support in live environments. Work item management: practical experience with systems such as Azure DevOps or Jira for backlog management, sprint planning, and tracking technical debt. Security practices: familiarity with secure-by-design principles, identity management, and embedding security into the SDLC. Testing & quality: strong background in automated testing (unit, integration, regression) and building for reliability. Essential Experience (Other) Scale-up journey: 2-3 years of experience in a senior role with a SaaS company @ $5-20m ARR, ideally as part of a scaling journey. Data specialist: Proven track record of building, launching, and maintaining products with data at their core. Compliance expertise: Responsibility for achieving ISO27001 and/or SOC 2 Type II certification. Desirable Experience (Other) Buy-side M&A integration: Adept at incorporating newly acquired platforms or services, ensuring smooth transitions and value creation. Regtech experience: Experience in a regtech or company data provider. Corporate registry familiarity: Experience working with, or integrating, corporate registry data. PE/Family Office background: Able to interface effectively with investors, and meet stretching goals. AI/automation in data: Experience applying AI/ML, OCR, or robotic processes for data extraction, enrichment, or workflow automation. Customer-facing exposure: Ability to engage with enterprise customers or partners in technical pre-sales or solution-engineering discussions.
Jan 24, 2026
Full time
Contract type: Permanent Location: Remote - based in the UK or Ireland Reports to: CEO Overview Kyckr is a fast-scaling SaaS and data company transforming how Financial Crime teams verify businesses. We provide regulated institutions - banks, law firms, payment providers, and more - with the tools to onboard customers, assess risk and maintain ongoing compliance with confidence. Founded as an ambitious attempt to build the world's first truly global business register, we now partner with over 100 of the biggest names in Banking, Fintech and Regtech to power their business verification processes. Our platform provides a single access point to live data from 300+ corporate registries worldwide, normalised and enriched at the point of request. This real-time, source-verified approach is unique in our industry and technically demanding - but it's what makes Kyckr the trusted provider in our space. Recognised as a Category Leader for KYC Data Solutions by Chartis Research in 2024, we've just delivered a record year of growth and are still only getting started. This is a rare opportunity for an outstanding engineering leader to join an ambitious, early-stage business (with substantial family office backing) in a senior management role. As the technical counterpart to a commercially driven CEO, you will: Define and execute our technical strategy. Recruit and develop a world-class engineering team. Shape the product roadmap and guide critical build, buy, and partner decisions. You'll be working alongside alumni of some of the most innovative data companies in the world, gaining exposure to strategic decision-making while helping scale a company with both big ambitions (both organic and M&A) and genuine social purpose. The right candidate will combine vision-setting leadership with hands-on curiosity. If your last GitHub contribution was years ago - or you'd rather talk about AI at conferences than experiment with agents in your own time - this isn't the role for you. We're looking for someone just as comfortable fixing a bug as advising on architectural design, someone who thrives in the "multiple hats" environment of early-stage tech and remains unfazed by shifting priorities. Above all, you're a mature, intrinsically motivated technology leader who loves data. Our daily work spans building API integrations, maintaining robotic data-extraction processes, writing OCR engines, and refactoring data pipelines. At the same time, we're beginning to invest in AI (agentic frameworks, LLMs for data extraction) and data storage innovation. Our stack is hosted on Microsoft Azure (App Services, Azure Functions, and .NET applications on VMs) with Azure SQL databases for data storage and retrieval. We manage delivery through Azure DevOps, including CI/CD pipelines and work item tracking. There are currently 9 people in the team (split across the UK, Ireland, Philippines and Australia) with scope and budget to expand the team in line with our wider strategic goals. Responsibilities Technical Strategy & Delivery: Own solution design and planning for Kyckr applications, services, and supporting Azure infrastructure. Engineering Standards: Set and maintain system architecture standards, ensuring scalability, resilience, and maintainability across the platform. Roadmap Alignment: Partner with the Head of Product to align the roadmap with current delivery and future priorities. Performance & Reliability: Lead performance engineering, ensuring scalability, resilience, and capacity to support projected workloads. Production Excellence: Oversee investigation and root cause analysis of production issues, driving a culture of reliability and continuous improvement. Alignment: Collaborate with the Principal Cloud Engineer to ensure infrastructure and software engineering efforts are fully aligned. KPI Tracking: Define, track, and report on engineering KPIs (e.g., velocity, uptime, deployment frequency, defect rates) to measure delivery effectiveness and system health. Engineering Leadership & Execution: Maintain visibility across all engineering workstreams, providing guidance, unblockers, and technical oversight where required. Mentoring: Pair with developers to support problem-solving, mentor on best practices, and raise overall technical quality. Agile Leadership: Facilitate agile ceremonies (stand-ups, sprint planning, refinement, reviews, retrospectives) and manage team boards and workflows. Capacity Planning: Lead engineering team capacity planning, balancing roadmap delivery, technical debt, and operational maintenance. Documentation: Collaborate on technical documentation to support internal alignment and external needs (e.g. RFPs, due diligence). People & Culture: Provide career leadership: conduct regular 1:1s, support professional development, and align individual goals with Kyckr's mission. Talent Acquisition: Recruit top engineering talent: screening, running technical and culture-fit interviews, and ensuring smooth onboarding with HR. Culture: Foster a high-performance, collaborative culture that embraces accountability, learning, and experimentation. Governance, Security & Compliance: Take ownership of security leadership within engineering: embedding secure-by-design practices, ensuring data protection, and conducting regular threat modelling and reviews. Standards Compliance: Ensure engineering practices and systems comply with ISO27001, SOC2, and other relevant standards. Budget & Reporting: Participate in budget planning and reviews relating to engineering requirements. Stakeholder Reporting: Report regularly to senior management on team milestones, challenges, KPIs, and achievements. Essential Experience (Technical) System architecture & solution design: proven ability to design scalable, secure, and resilient systems, and to lead or review architecture discussions. .NET / C# expertise: extensive experience with .NET Core and .NET Framework, with deep proficiency in C#, applying best practices in design, implementation, testing, and performance optimisation. API development: experience building and supporting RESTful and SOAP APIs, including authentication, versioning, and documentation. Data layer proficiency: solid experience with SQL Server (queries, stored procedures, optimisation) and general database design. Cloud deployment: hands-on experience deploying and running .NET applications and services in Microsoft Azure (VMs, App Services, Azure Functions). CI/CD & DevOps: experience designing and maintaining CI/CD pipelines, Git-based version control, and automated build/test/deploy processes. Production reliability: proven track record of root cause analysis, incident management, and production support in live environments. Work item management: practical experience with systems such as Azure DevOps or Jira for backlog management, sprint planning, and tracking technical debt. Security practices: familiarity with secure-by-design principles, identity management, and embedding security into the SDLC. Testing & quality: strong background in automated testing (unit, integration, regression) and building for reliability. Essential Experience (Other) Scale-up journey: 2-3 years of experience in a senior role with a SaaS company @ $5-20m ARR, ideally as part of a scaling journey. Data specialist: Proven track record of building, launching, and maintaining products with data at their core. Compliance expertise: Responsibility for achieving ISO27001 and/or SOC 2 Type II certification. Desirable Experience (Other) Buy-side M&A integration: Adept at incorporating newly acquired platforms or services, ensuring smooth transitions and value creation. Regtech experience: Experience in a regtech or company data provider. Corporate registry familiarity: Experience working with, or integrating, corporate registry data. PE/Family Office background: Able to interface effectively with investors, and meet stretching goals. AI/automation in data: Experience applying AI/ML, OCR, or robotic processes for data extraction, enrichment, or workflow automation. Customer-facing exposure: Ability to engage with enterprise customers or partners in technical pre-sales or solution-engineering discussions.
About the role Node4 seeks a skilled Data Platform Consultant with technical expertise, business acumen, and excellent communication skills to deliver innovative data solutions. You'll understand client needs, design and implement data architectures, and ensure high-quality data services that add business value. Node4 is a growing technology company valuing innovation, client satisfaction, and professional growth. You'll work on exciting projects, develop skills, and significantly impact client success. We work with diverse businesses, from fast-growing startups to large multinationals across various sectors. In the public sector, we deliver data implementation programmes for Central Government Departments, such as acting as the strategic data partner for the Foreign, Commonwealth and Development Office, and the Ministry of Housing, Communities and Local Government. This experience provides exceptional insight into data-driven decisions in different contexts, supporting strategic decision-making in various settings. Our clients are mainly UK-based. The role is primarily remote, with occasional travel to client sites and our UK offices for team gatherings. We lead our customers on their journey from traditional reporting to discovery and intervention, using business data effectively and surfacing critical information in the right way at the right time, to drive better business outcomes. The successful candidate will be excited by a role in which new challenges are constantly presented for us to solve. The data problems we solve are diverse and evolving, requiring skills to identify, access, explore and query various database platforms, including on-premises SQL databases, IaaS and PaaS SQL, cloud databases, and application APIs. The role demands strong, extensive data engineering skills to extract, transform, and load data from various sources into suitable repositories and models, collaborating with colleagues to solve each new problem. Experience in Microsoft data analytics applications, particularly Microsoft Fabric and Azure Data Services, is needed for data ingestion, transformation, storage, and presentation of impactful data repositories and models. The role mainly focuses on data platform and engineering workloads before visualisation/reporting, blending with our Analytics team to deliver holistic Data and Analytics solutions. Along with these technical skills, excellent verbal and written communication skills are essential. The role involves daily direct communication with clients while designing and implementing data solutions, requiring the ability to build rapport, understand and advise our clients. Responsibilities Conduct workshops with our clients, working closely with cross functional colleagues, to understand and capture their solution requirements Produce High Level Design (HLD) and Low Level Design (LLD) documentation, to capture client requirements and design the intended solution Implement and configure the designed solutions in accordance with our design and implementation standards, with the support of senior and principal consultants in the practice Provide technical authority in the course of project delivery, working constructively with our clients and project managers Provide pre sales support to our sales and marketing teams when required, including contributing to bid and tender responses Provide technical assurance/governance to our clients Work as part of a broader technical team delivering large multi technology solutions to our clients, which will include Data and Analytics solutions What will you bring? 5+ years experience with the implementation of data and analytics architectures and data modelling Experience of (and an appreciation of the importance of) writing high quality, detailed technical documentation Demonstrable experience of working with Microsoft Data & AI products, such as Azure Data Services (Synapse, Data Factory, Data Lake, SQL, Analysis Services) Microsoft Fabric, and Power BI Experience of IaaS/on premises equivalents of the above workloads is valid, such as SSIS, SSAS, SSRS Databricks (desirable) Demonstrable experience of working with query languages within these workloads, such as Transact SQL to a highly proficient level Data transformation expressions in Data Factory/Synapse (desirable) Power Query M and DAX (desirable) Python; PySpark (desirable) Proven experience in a client facing data consultancy role designing, implementing, and supporting data solutions Ability to lead business and technical discussions Self driven ambition to deliver excellence in collaboration with your team, with a drive and desire to learn and develop Strong problem solving nature, with the ability to examine a problem and involve the appropriate people at the appropriate time Must hold or be able to successfully achieve and maintain Non Police Personnel Vetting (NPPV3) status, and national Security Check (SC) clearance What can we offer you? Hybrid Working Private Medical Insurance or Company Paid Health Cash Plan Employee Assistance Program 25 days holidays plus your birthday off Option to purchase additional holiday (up to 5 days) Company Pension Scheme Life Assurance x 4 A diverse workforce Employee investment with Node4 training Academy Family savings and shopping discounts through the Node4 benefits portal. Discounted Gym Membership Modern facilities with open and welcoming breakout areas Company Social events Never ending supply of hot and cold drinks, biscuits, sweets, and fruit Why join Node4? Founded in 2004, Node4 has experienced exceptional growth and success over the years. From an office in Derby to locations nationwide. From three people to a workforce of over 1200. We believe that our people are the driving force behind our success. We are a vibrant, passionate, and diverse team committed to providing exceptional service as standard. We are proud of our employees and the environment that reflects our core business values of Passion, Innovation, and Trust. Node4 is the place to be if you are passionate about technology and providing exceptional service while developing your career within a welcoming and evolving company.
Jan 24, 2026
Full time
About the role Node4 seeks a skilled Data Platform Consultant with technical expertise, business acumen, and excellent communication skills to deliver innovative data solutions. You'll understand client needs, design and implement data architectures, and ensure high-quality data services that add business value. Node4 is a growing technology company valuing innovation, client satisfaction, and professional growth. You'll work on exciting projects, develop skills, and significantly impact client success. We work with diverse businesses, from fast-growing startups to large multinationals across various sectors. In the public sector, we deliver data implementation programmes for Central Government Departments, such as acting as the strategic data partner for the Foreign, Commonwealth and Development Office, and the Ministry of Housing, Communities and Local Government. This experience provides exceptional insight into data-driven decisions in different contexts, supporting strategic decision-making in various settings. Our clients are mainly UK-based. The role is primarily remote, with occasional travel to client sites and our UK offices for team gatherings. We lead our customers on their journey from traditional reporting to discovery and intervention, using business data effectively and surfacing critical information in the right way at the right time, to drive better business outcomes. The successful candidate will be excited by a role in which new challenges are constantly presented for us to solve. The data problems we solve are diverse and evolving, requiring skills to identify, access, explore and query various database platforms, including on-premises SQL databases, IaaS and PaaS SQL, cloud databases, and application APIs. The role demands strong, extensive data engineering skills to extract, transform, and load data from various sources into suitable repositories and models, collaborating with colleagues to solve each new problem. Experience in Microsoft data analytics applications, particularly Microsoft Fabric and Azure Data Services, is needed for data ingestion, transformation, storage, and presentation of impactful data repositories and models. The role mainly focuses on data platform and engineering workloads before visualisation/reporting, blending with our Analytics team to deliver holistic Data and Analytics solutions. Along with these technical skills, excellent verbal and written communication skills are essential. The role involves daily direct communication with clients while designing and implementing data solutions, requiring the ability to build rapport, understand and advise our clients. Responsibilities Conduct workshops with our clients, working closely with cross functional colleagues, to understand and capture their solution requirements Produce High Level Design (HLD) and Low Level Design (LLD) documentation, to capture client requirements and design the intended solution Implement and configure the designed solutions in accordance with our design and implementation standards, with the support of senior and principal consultants in the practice Provide technical authority in the course of project delivery, working constructively with our clients and project managers Provide pre sales support to our sales and marketing teams when required, including contributing to bid and tender responses Provide technical assurance/governance to our clients Work as part of a broader technical team delivering large multi technology solutions to our clients, which will include Data and Analytics solutions What will you bring? 5+ years experience with the implementation of data and analytics architectures and data modelling Experience of (and an appreciation of the importance of) writing high quality, detailed technical documentation Demonstrable experience of working with Microsoft Data & AI products, such as Azure Data Services (Synapse, Data Factory, Data Lake, SQL, Analysis Services) Microsoft Fabric, and Power BI Experience of IaaS/on premises equivalents of the above workloads is valid, such as SSIS, SSAS, SSRS Databricks (desirable) Demonstrable experience of working with query languages within these workloads, such as Transact SQL to a highly proficient level Data transformation expressions in Data Factory/Synapse (desirable) Power Query M and DAX (desirable) Python; PySpark (desirable) Proven experience in a client facing data consultancy role designing, implementing, and supporting data solutions Ability to lead business and technical discussions Self driven ambition to deliver excellence in collaboration with your team, with a drive and desire to learn and develop Strong problem solving nature, with the ability to examine a problem and involve the appropriate people at the appropriate time Must hold or be able to successfully achieve and maintain Non Police Personnel Vetting (NPPV3) status, and national Security Check (SC) clearance What can we offer you? Hybrid Working Private Medical Insurance or Company Paid Health Cash Plan Employee Assistance Program 25 days holidays plus your birthday off Option to purchase additional holiday (up to 5 days) Company Pension Scheme Life Assurance x 4 A diverse workforce Employee investment with Node4 training Academy Family savings and shopping discounts through the Node4 benefits portal. Discounted Gym Membership Modern facilities with open and welcoming breakout areas Company Social events Never ending supply of hot and cold drinks, biscuits, sweets, and fruit Why join Node4? Founded in 2004, Node4 has experienced exceptional growth and success over the years. From an office in Derby to locations nationwide. From three people to a workforce of over 1200. We believe that our people are the driving force behind our success. We are a vibrant, passionate, and diverse team committed to providing exceptional service as standard. We are proud of our employees and the environment that reflects our core business values of Passion, Innovation, and Trust. Node4 is the place to be if you are passionate about technology and providing exceptional service while developing your career within a welcoming and evolving company.
About Bullish Bullish is an institutionally focused global digital asset platform that provides market infrastructure and information services. These include: Bullish Exchange - a regulated and institutionally focused digital assets spot and derivatives exchange, integrating a high-performance central limit order book matching engine with automated market making to provide deep and predictable liquidity. Bullish Exchange is regulated in Germany, Hong Kong, and Gibraltar. CoinDesk Indices - a collection of tradable proprietary and single-asset benchmarks and indices that track the performance of digital assets for global institutions in the digital assets and traditional finance industries. CoinDesk Data - a broad suite of digital assets market data and analytics, providing real-time insights into prices, trends, and market dynamics. CoinDesk Insights - a digital asset media and events provider and operator of a digital media platform that covers news and insights about digital assets, the underlying markets, policy, and blockchain technology. Reports to: Director, Engineering, CoinDesk Engineering Organisation & Culture At CoinDesk, we do more than report on the future of money; we actively help shape it. As the global leader in crypto news, indices, and events, we provide the transparency and context the world needs to understand the digital asset revolution. Our team is dedicated to a shared mission of informing, educating, and connecting the global community. Our impact is further amplified by our position within the Bullish Group. Operating as a subsidiary of Bullish, a regulated, institutional-grade exchange known for its technological prowess, CoinDesk is powered by a partner that shares our fundamental belief in the transformative power of digital assets. We value engineers who treat development as a craft and own the outcome from concept to deployment. You will be expected to navigate the unknown, bring structure to ambiguity, and help shape the frameworks and processes that drive our global teams forward. We refuse to compromise on quality and seek problem solvers who thrive on high-impact technical challenges. The Team: CoinDesk Data Engineering The CoinDesk Data Engineering Team builds the high-performance infrastructure that powers the world's most trusted crypto market data, architecting resilient systems that process over 26 billion monthly requests for real-time market information. Our technical scope is expansive, encompassing the automated extraction and normalization of data from global exchanges to be served via high-throughput REST APIs, WebSocket streaming, and direct client deliveries. We operate with a high degree of ownership over mission-critical infrastructure, calculating the flagship indices that power some of the largest ETFs on the market while bridging the gap between creative freedom and institutional-grade stability. As a core part of the global leader in crypto news and indices, our work provides the transparency and context necessary to help shape the future of money. What You'll Do Drive Technical Evolution: develop and champion a cohesive, long-term technical roadmap that elevates our existing services (internal, external, REST, streaming) towards a unified and scalable architectural vision. Architect for the Future: lead the design of resilient, high-throughput systems, ensuring new solutions are not only robust and secure but also set the standard for future development across teams. Tackle Foundational Challenges: act as the technical point person for our most complex cross-team challenges, such as ensuring data resiliency, uptime, or evolving our client facing infrastructure without service interruption. Elevate Engineering Excellence: mentor senior engineers on advanced architectural patterns, trade-off analysis, and operational best practices, fostering a culture of technical curiosity and ownership. Champion Cross-Cutting Initiatives: identify and lead engineering-wide improvements in areas like observability, developer tooling, and testing strategies to increase performance and reliability across all services. What You'll Bring Principal-Level Experience: 8+ years in backend development, with a proven track record in a Staff, Principal, or equivalent technical leadership role where you were responsible for the technical direction of multiple services. Expertise in Distributed Systems: deep, hands-on experience designing, building, and operating complex, large-scale distributed systems. You should have specific experience with both synchronous (e.g. REST APIs) and asynchronous (e.g. WebSockets, message queues like Kafka or RabbitMQ, event streams) communication patterns. Operational Resilience: experience with High Availability or sophisticated disaster recovery strategies for global, 24/7 financial systems. Pragmatic Polyglot: demonstrated ability to effectively use multiple languages in production environments (a proficiency in either Node.js or Golang) and the expertise to choose the right technology for the problem at hand. Strategic Buy vs. Build: lead the evaluation of third-party vendors versus internal builds for core data infrastructure to ensure cost-efficiency and performance. Data-Intensive Application Expertise: strong practical experience with modern databases (e.g., Redis, PostgreSQL), including schema design, query optimization, and performance tuning for high-throughput workloads. Full Lifecycle Ownership: a strong "DevSecOps" mindset with expertise in building and maintaining CI/CD pipelines, infrastructure-as-code, and robust observability (monitoring, logging, tracing) for production systems. Quality as a Feature: a deep commitment to quality, demonstrated by implementing comprehensive testing strategies (unit, integration, end-to-end, performance) that ensure system reliability. Influence and Collaboration: exceptional communication skills with the proven ability to influence technical and non-technical stakeholders, articulate complex architectural decisions, and build consensus across multiple teams. Nice to Haves Cloud Architecture: experience designing and deploying services on a major cloud provider (Azure, GCP). Blockchain Expertise: a strong understanding of blockchain technology, cryptocurrencies, and decentralized ecosystems is a significant plus. Financial Market Knowledge: interest or prior experience in traditional financial markets, trading systems, or investment platforms. Containerization & Deployment: proficiency with containerization technologies such as Docker or Kubernetes. Observability: hands-on experience with modern observability tooling (e.g., Prometheus, DataDog, Jaeger, OpenTelemetry). Data Governance: experience with data privacy (GDPR/CCPA) and security compliance in a regulated financial environment. Please note you will need the right to work in the UK. Bullish is proud to be an equal opportunity employer. We are fast evolving and striving towards being a globally-diverse community. With integrity at our core, our success is driven by a talented team of individuals and the different perspectives they are encouraged to bring to work every day.
Jan 24, 2026
Full time
About Bullish Bullish is an institutionally focused global digital asset platform that provides market infrastructure and information services. These include: Bullish Exchange - a regulated and institutionally focused digital assets spot and derivatives exchange, integrating a high-performance central limit order book matching engine with automated market making to provide deep and predictable liquidity. Bullish Exchange is regulated in Germany, Hong Kong, and Gibraltar. CoinDesk Indices - a collection of tradable proprietary and single-asset benchmarks and indices that track the performance of digital assets for global institutions in the digital assets and traditional finance industries. CoinDesk Data - a broad suite of digital assets market data and analytics, providing real-time insights into prices, trends, and market dynamics. CoinDesk Insights - a digital asset media and events provider and operator of a digital media platform that covers news and insights about digital assets, the underlying markets, policy, and blockchain technology. Reports to: Director, Engineering, CoinDesk Engineering Organisation & Culture At CoinDesk, we do more than report on the future of money; we actively help shape it. As the global leader in crypto news, indices, and events, we provide the transparency and context the world needs to understand the digital asset revolution. Our team is dedicated to a shared mission of informing, educating, and connecting the global community. Our impact is further amplified by our position within the Bullish Group. Operating as a subsidiary of Bullish, a regulated, institutional-grade exchange known for its technological prowess, CoinDesk is powered by a partner that shares our fundamental belief in the transformative power of digital assets. We value engineers who treat development as a craft and own the outcome from concept to deployment. You will be expected to navigate the unknown, bring structure to ambiguity, and help shape the frameworks and processes that drive our global teams forward. We refuse to compromise on quality and seek problem solvers who thrive on high-impact technical challenges. The Team: CoinDesk Data Engineering The CoinDesk Data Engineering Team builds the high-performance infrastructure that powers the world's most trusted crypto market data, architecting resilient systems that process over 26 billion monthly requests for real-time market information. Our technical scope is expansive, encompassing the automated extraction and normalization of data from global exchanges to be served via high-throughput REST APIs, WebSocket streaming, and direct client deliveries. We operate with a high degree of ownership over mission-critical infrastructure, calculating the flagship indices that power some of the largest ETFs on the market while bridging the gap between creative freedom and institutional-grade stability. As a core part of the global leader in crypto news and indices, our work provides the transparency and context necessary to help shape the future of money. What You'll Do Drive Technical Evolution: develop and champion a cohesive, long-term technical roadmap that elevates our existing services (internal, external, REST, streaming) towards a unified and scalable architectural vision. Architect for the Future: lead the design of resilient, high-throughput systems, ensuring new solutions are not only robust and secure but also set the standard for future development across teams. Tackle Foundational Challenges: act as the technical point person for our most complex cross-team challenges, such as ensuring data resiliency, uptime, or evolving our client facing infrastructure without service interruption. Elevate Engineering Excellence: mentor senior engineers on advanced architectural patterns, trade-off analysis, and operational best practices, fostering a culture of technical curiosity and ownership. Champion Cross-Cutting Initiatives: identify and lead engineering-wide improvements in areas like observability, developer tooling, and testing strategies to increase performance and reliability across all services. What You'll Bring Principal-Level Experience: 8+ years in backend development, with a proven track record in a Staff, Principal, or equivalent technical leadership role where you were responsible for the technical direction of multiple services. Expertise in Distributed Systems: deep, hands-on experience designing, building, and operating complex, large-scale distributed systems. You should have specific experience with both synchronous (e.g. REST APIs) and asynchronous (e.g. WebSockets, message queues like Kafka or RabbitMQ, event streams) communication patterns. Operational Resilience: experience with High Availability or sophisticated disaster recovery strategies for global, 24/7 financial systems. Pragmatic Polyglot: demonstrated ability to effectively use multiple languages in production environments (a proficiency in either Node.js or Golang) and the expertise to choose the right technology for the problem at hand. Strategic Buy vs. Build: lead the evaluation of third-party vendors versus internal builds for core data infrastructure to ensure cost-efficiency and performance. Data-Intensive Application Expertise: strong practical experience with modern databases (e.g., Redis, PostgreSQL), including schema design, query optimization, and performance tuning for high-throughput workloads. Full Lifecycle Ownership: a strong "DevSecOps" mindset with expertise in building and maintaining CI/CD pipelines, infrastructure-as-code, and robust observability (monitoring, logging, tracing) for production systems. Quality as a Feature: a deep commitment to quality, demonstrated by implementing comprehensive testing strategies (unit, integration, end-to-end, performance) that ensure system reliability. Influence and Collaboration: exceptional communication skills with the proven ability to influence technical and non-technical stakeholders, articulate complex architectural decisions, and build consensus across multiple teams. Nice to Haves Cloud Architecture: experience designing and deploying services on a major cloud provider (Azure, GCP). Blockchain Expertise: a strong understanding of blockchain technology, cryptocurrencies, and decentralized ecosystems is a significant plus. Financial Market Knowledge: interest or prior experience in traditional financial markets, trading systems, or investment platforms. Containerization & Deployment: proficiency with containerization technologies such as Docker or Kubernetes. Observability: hands-on experience with modern observability tooling (e.g., Prometheus, DataDog, Jaeger, OpenTelemetry). Data Governance: experience with data privacy (GDPR/CCPA) and security compliance in a regulated financial environment. Please note you will need the right to work in the UK. Bullish is proud to be an equal opportunity employer. We are fast evolving and striving towards being a globally-diverse community. With integrity at our core, our success is driven by a talented team of individuals and the different perspectives they are encouraged to bring to work every day.
Stantec Consulting International Ltd.
Hackney, London
Due to an increased workload, we are currently seeking a Principal Structural Technician to join our Digital Delivery team based in Cambridge. The team is currently using the complete Autodesk package including Revit and Autodesk Construction Cloud. About The Team: Stantec is growing and our buildings and environmental design portfolio is no exception. The variety and volume of our project wins is ever increasing, and we have ambitious plans to strengthen our structural engineering design capability in our Cambridge office. This is a unique opportunity to work in a truly integrated engineering environment that has been structured to respond to the future demands of the construction industry. Our multi-disciplinary engineering teams work together to deliver building solutions using BIM amongst other industry toolkits. An opportunity to advance in the field of Information Management and/or AI in construction through various grow paths, Work stages will vary, ranging from strategic master planning through to detailed design and construction and forming part of a wider structural and multi-disciplinary engineering teams, located across the UK. Key responsibilities include: Lead, mentor and develop junior and apprentice technicians, supporting skills growth and promoting best practice across the structural BIM team. Provide technical oversight and guidance across multiple concurrent projects, ensuring consistent quality and digital delivery performance. Manage and deliver high quality structural Revit models and drawing packages from RIBA Stage 2 through Stage 5. Ensure all structural models are fully coordinated with architecture and MEP disciplines, driving clash free, integrated design outputs. Maintain accurate documentation, drawing registers, revisions and issue records, ensuring compliance with project and company standards. Apply and champion ISO 19650, CDE workflows and Stantec digital delivery protocols. Support project mobilisation activities including ACC setup, model structuring, Revit templates and folder architecture. Collaborate closely with Lead Engineers and Project Managers to understand project requirements, milestones and deliverables. Liaise with designers, consultants and external stakeholders to maintain smooth BIM coordination and information flow. Act as a champion for digital best practice, contributing to development of modelling standards, templates and QA processes. Support alignment of processes across UK and global teams, including collaboration with the remote delivery teams as required. Promote innovation, buildability awareness and high quality technical output across all structural BIM delivery. Key skills for success in this role include: Sufficient and appropriate UK structural drafting/modelling experience. Advanced user of Autodesk Revit and Autodesk Construction Cloud. Strong understanding of the construction process, buildability and structural detailing. Excellent communication skills and ability to work collaboratively across multi-disciplinary teams. High attention to detail and commitment to digital quality. Proven ability to manage workload, meet deadlines and deliver multiple project workstreams simultaneously. Experience in maintaining and applying Revit/CAD standards and workflows. Professionally qualified (EngTech) preferred HNC qualification in construction industry (or similar) Why Join us? The friendly and collaborative culture at Stantec is something we are proud of and we have many other reasons for you to be excited about joining us. We offer a competitive salary, agile and flexible working arrangements, industry leading training, great projects and lots more! To hear what some of our existing UK&I workforce say about life at Stantec, please click on My Stantec Stories
Jan 24, 2026
Full time
Due to an increased workload, we are currently seeking a Principal Structural Technician to join our Digital Delivery team based in Cambridge. The team is currently using the complete Autodesk package including Revit and Autodesk Construction Cloud. About The Team: Stantec is growing and our buildings and environmental design portfolio is no exception. The variety and volume of our project wins is ever increasing, and we have ambitious plans to strengthen our structural engineering design capability in our Cambridge office. This is a unique opportunity to work in a truly integrated engineering environment that has been structured to respond to the future demands of the construction industry. Our multi-disciplinary engineering teams work together to deliver building solutions using BIM amongst other industry toolkits. An opportunity to advance in the field of Information Management and/or AI in construction through various grow paths, Work stages will vary, ranging from strategic master planning through to detailed design and construction and forming part of a wider structural and multi-disciplinary engineering teams, located across the UK. Key responsibilities include: Lead, mentor and develop junior and apprentice technicians, supporting skills growth and promoting best practice across the structural BIM team. Provide technical oversight and guidance across multiple concurrent projects, ensuring consistent quality and digital delivery performance. Manage and deliver high quality structural Revit models and drawing packages from RIBA Stage 2 through Stage 5. Ensure all structural models are fully coordinated with architecture and MEP disciplines, driving clash free, integrated design outputs. Maintain accurate documentation, drawing registers, revisions and issue records, ensuring compliance with project and company standards. Apply and champion ISO 19650, CDE workflows and Stantec digital delivery protocols. Support project mobilisation activities including ACC setup, model structuring, Revit templates and folder architecture. Collaborate closely with Lead Engineers and Project Managers to understand project requirements, milestones and deliverables. Liaise with designers, consultants and external stakeholders to maintain smooth BIM coordination and information flow. Act as a champion for digital best practice, contributing to development of modelling standards, templates and QA processes. Support alignment of processes across UK and global teams, including collaboration with the remote delivery teams as required. Promote innovation, buildability awareness and high quality technical output across all structural BIM delivery. Key skills for success in this role include: Sufficient and appropriate UK structural drafting/modelling experience. Advanced user of Autodesk Revit and Autodesk Construction Cloud. Strong understanding of the construction process, buildability and structural detailing. Excellent communication skills and ability to work collaboratively across multi-disciplinary teams. High attention to detail and commitment to digital quality. Proven ability to manage workload, meet deadlines and deliver multiple project workstreams simultaneously. Experience in maintaining and applying Revit/CAD standards and workflows. Professionally qualified (EngTech) preferred HNC qualification in construction industry (or similar) Why Join us? The friendly and collaborative culture at Stantec is something we are proud of and we have many other reasons for you to be excited about joining us. We offer a competitive salary, agile and flexible working arrangements, industry leading training, great projects and lots more! To hear what some of our existing UK&I workforce say about life at Stantec, please click on My Stantec Stories
