2080 jobs found

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 Principal 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. For this role we offer the hybrid working approach with 2 days a week onsite in Osterley office. 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"latency," highly reliable " cloud"based "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 data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery." Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multimodal 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." Nice to have U nderstanding 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. Being a Sports Fan - we immerse ourselves in Sport so having a passion for sport an d a desire to push the sports experience to the next level is a real bonus. 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.

Staff Data Scientist 120K - 140K + Equity London Hybrid At Data Idols, we are working with a high-growth technology business using advanced data science, machine learning and operational intelligence to solve complex real-world movement and optimisation problems at scale. They are now looking for a Staff Data Scientist to lead the development of geospatial and movement intelligence products that sit at the heart of the business. The Opportunity This is a highly strategic individual contributor role focused on geospatial data, routing intelligence and operational optimisation. You will own the roadmap and technical direction for a critical data product area, helping the business better understand movement patterns, improve operational efficiency and build intelligent systems powered by real-world geographic data. You will work closely with Engineering, Product, Operational Research and Data Science teams, building scalable datasets, production-grade models and reusable data products used across the organisation. This role suits someone who enjoys solving ambiguous technical problems, working with large-scale operational datasets and building products that directly influence business performance. Skills and experience Strong Python and SQL skills Experience working with geospatial, routing or movement-related data Experience building production-grade data products or ML systems Strong stakeholder management and communication skills Experience working with large, complex or unstructured datasets Experience operating in fast-moving environments If you are looking for a new challenge and want to work on complex real-world data problems where your work directly influences operational performance and product strategy, please submit your CV for initial screening and further details. Staff Data Scientist

Director of Engineering Delivery Location: Cambridge / Hybrid Salary: Competitive + Benefits About the Company This is an opportunity to join an advanced AI organisation operating within a niche yet highly lucrative industry. The business has already established itself as a leader in its field, delivering cutting-edge solutions to complex, real-world challenges. Led by a highly experienced management team and supported by some of the brightest data scientists and engineers in the sector, the company combines deep technical expertise with commercial impact-offering a truly exciting environment for innovation and growth. The Role We are seeking a highly accomplished Director of Engineering Delivery to take ownership of the execution and delivery of complex, large-scale programmes. This role demands an individual who operates at the highest level of delivery excellence-someone who can consistently drive outstanding execution across sophisticated, enterprise-scale initiatives. You will play a pivotal role in ensuring that advanced software solutions are delivered with precision, quality, and pace, even within highly dynamic and evolving environments. Working closely with senior leadership, clients, and multidisciplinary teams, you will champion a culture of accountability, performance, and delivery excellence. About You - Extensive experience delivering and executing complex technology programmes to the highest standards, with a strong track record of outstanding delivery outcomes - Proven background operating at senior leadership level (e.g. Head of Engineering or equivalent) - Strong exposure across multiple technical disciplines, including Engineering, Software Development, DevOps, and/or Data Science - Demonstrable experience building and delivering enterprise-grade software solutions - Fully versed in the end-to-end product lifecycle, from concept and design through to delivery, deployment, and continuous improvement - An expert in resource planning, with the ability to effectively allocate and optimise talent across complex programmes - A career history that includes recognised or 'household name' organisations, reflecting exposure to high standards of delivery and scale - Comfortable leading multidisciplinary teams in environments that require rapid adaptability - Must be comfortable working closely with Senior Management on a regular basis, contributing to strategic decisions and business outcomes - Strong stakeholder management skills, with experience working closely with senior leadership and clients - Degree-qualified (Bachelor's, Master's, or PhD) in Engineering, Computing, or a scientific discipline, ideally from a Russell Group University - An engineering background (or similar) is highly advantageous, particularly with experience working on complex, data-rich systems and environments - A true engineering mindset with the ability to problem-solve and manage complexity at scale - Enjoys coaching, mentoring, and developing others to achieve high performance - A mindset suited to high-growth environments, with experience operating in organisations that have evolved beyond start-up phase but still require agility, pace, and adaptability to frequent change - We would expect a regular on-site presence (at least several days per week), so please consider this before applying Key Responsibilities - Lead the end-to-end delivery of complex, high-value technology programmes, ensuring exceptional standards of execution throughout - Drive a culture of delivery excellence and accountability across cross-functional teams including Engineering, Software Development, DevOps, and Data Science - Manage large-scale, enterprise software development initiatives from concept to deployment, with a relentless focus on quality, timelines, and outcomes - Operate effectively within fast-paced, dynamic environments with shifting priorities, ensuring consistent delivery performance - Collaborate closely with senior stakeholders, clients, and internal leadership teams - Act as a trusted adviser to clients on implementation, building strong relationships and ensuring successful outcomes - Potential for overseas travel in the future as part of client engagement and programme delivery - Lead, mentor, and inspire a diverse workforce, including both academic and industry professionals Why Join? - Work at the forefront of AI innovation in a highly specialised industry - Collaborate with world-class technical talent - Play a pivotal role in shaping and delivering impactful solutions - Join a business with proven success, strong leadership, and ambitious growth plans About Adecco Adecco is acting as an Employment Agency. We are proud to be an equal opportunities employer. We are on the client's supplier list for this role.

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 Principal 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. For this role we offer the hybrid working approach with 2 days a week onsite in Osterley office. 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"latency," highly reliable " cloud"based "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 data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery." Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multimodal 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." Nice to have U nderstanding 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. Being a Sports Fan - we immerse ourselves in Sport so having a passion for sport an d a desire to push the sports experience to the next level is a real bonus. 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 are looking for a Machine Learning Engineer who excels at turning AI research into scalable, production-grade reality. You will be responsible for the "heavy lifting" building the frameworks that allow our AI models to reason, the pipelines that feed them, and the infrastructure that ensures they are fast, ethical, and cost-efficient. You will bridge the gap between Data Science prototypes and enterprise-scale deployment. Key Responsibilities AI Model design and build: Work closely with data scientists and business to design and implement AI algorithms, frameworks and architectures. AI model Data Preprocessing: Design, build, and maintain robust ETL/ELT pipelines to ingest, transform, and load data from various sources. AI model Feature Engineering: Integrate structured and unstructured data from internal and external systems into centralized data platforms. Performance Tuning of AI/ models: Optimize data workflows and queries for performance, scalability, and cost-efficiency. Building Agentic Systems: Developing intelligent AI agents that can reason, plan, and execute tasks autonomously using LLMs and other tools. LLM application Development: LLM fine-tuning adapting pretrained LLMs for specific tasks using techniques like parameterefficient fine-tuning (PEFT) (e.g., LoRA, QLoRA). Implementing Retrieval-Augmented Generation pipelines to enhance the knowledge and accuracy of LLMs. Utilizing vector databases for efficient storage and retrieval of embeddings generated by LLMs. rafting effective prompts to elicit desired responses from LLMs. Connecting LLMs and generative models with other systems and APIs to create comprehensive solutions. Communicate findings: Collaborate extensively with data scientists, and business during model development and deployment. Maintain updated documentation with details of all aspects of model development lifecycle. Responsible AI: Build AI systems which are trustworthy and beneficial considering ethical principles such as fairness, transparency, accountability, privacy and reliability. Implement quantifiable metrics detecting bias, explainability and adherence to regulatory compliance. Randstad Technologies is acting as an Employment Business in relation to this vacancy.

Senior C++ Developer (Hybrid, UK-Based) Location: London Salary : £80,000 - £100,000 + EMI Share Options + Private Medical Insurance Vacancy Type: Full-time, Permanent We take care of time, so our customers don t have to. At Hoptroff, we build nanosecond-accurate, software-driven timing systems used by global investment banks, telecoms operators, and broadcasters - including the MiFID II-compliant trade timestamping that financial regulators depend on. When microseconds aren t tight enough and milliseconds are an eternity, our software is what s keeping the world in sync. We re entering an exciting phase of growth and looking for a Senior C++ Developer to join our small, high-calibre engineering team. You ll write modern C++ (C+ or later) at the heart of our Linux-based clock and time synchronisation platform - tight, performance-sensitive code where jitter is measured in nanoseconds and correctness is non-negotiable. You ll own significant components of the platform, contribute to architecture, and work closely alongside a junior developer and a contractor on a tight, collaborative team. The Role Reporting to the Software Development Manager, you ll lead the design, development, and optimisation of C++ software within our Linux-based timing systems. Day to day, you will: Design, build, and optimise low-latency, high-precision C++ at the heart of our timing products - code where performance, determinism, and jitter really matter Make architectural decisions on systems that have to be correct, fast, and observable in production - balancing maintainability with the hard real-time constraints of precision timing Develop online and offline tooling to support time synchronisation and system monitoring Build and maintain automated test cases using Python-based system test frameworks Provide senior-level technical input across product, QA, hardware, and commercial conversations Share knowledge, review code, and support the development of our junior C++ developer Help shape engineering standards, tooling, and processes Essential Experience Extensive professional experience writing modern C++ in production - fluent in modern C++ idioms and confident with C+/23 features such as concepts, ranges, coroutines, and constant expressions (constexpr/consteval) A track record of delivering low-latency, performance-sensitive systems on Linux - production code where determinism, throughput, and tail latency matter Strong computer science fundamentals: data structures, algorithms, concurrency, performance optimisation Demonstrable ability to design software architecture and make sound technical trade-offs Strong debugging and profiling skills (perf, valgrind, sanitizers, flame graphs) - you ve cared about cache lines, lock contention, jitter, and tail latency, not just correctness Confident with Git, CI/CD pipelines, modern build tooling (CMake), and automated testing frameworks Clear technical communicator - you can explain trade-offs to engineers and non-engineers alike Nice to Have Linux networking experience (sockets, networking concepts and standard tooling) Experience interacting with hardware on Linux (device drivers, system interfaces, low-level I/O) Low-level Windows systems development (Windows APIs, system services, platform-specific debugging) PostgreSQL or other relational database experience Python and/or Go (Golang) for tooling, automation, or supporting services Familiarity with time synchronisation protocols such as PTP or NTP Open-source contributions or evidence of staying current with the C++ standard Open to integrating AI tools where they add value What We Offer Salary of £80,000 - £100,000, depending on experience EMI Share Options Private Medical Insurance Hybrid working - 2 days per week at our London (Shoreditch) office, with regular team events Based at a Shoreditch FinTech incubator - a thriving community of like-minded businesses with a full social calendar, networking opportunities, and (importantly) dog-friendly Your code will sit underneath MiFID II-compliant trade timestamps at major banks, broadcast sync at tier-1 broadcasters, and timing infrastructure at telecoms operators - tangible, high-stakes impact at global scale A team that invests in modern tooling and continuous learning To Apply If you feel you are a suitable candidate and would like to work for HopTroff, please do not hesitate to apply.

HR Systems Administrator Family Services Company - Hybrid role based in Birmingham Up to 55K plus bens My client who is a nationwide family services company has an exciting opportunity for an HR Systems Administrator. This HR Systems Administrator role requires an understanding of HR in a complex and regulatory driven organisation where you will support the delivery of a fully integrated, end-to-end operating model as part of this company s business-wide transformation programme. This is a hybrid role based in central Birmingham which will suit an experienced HR Systems Administrator who has significant experience working with major HRIS platforms, LMS, Recruitment, Payroll and Onboarding systems. In this role you will take ownership of the company s key people systems: including HRIS, Learning, Recruitment and related systems, managing upgrades and enhancements by ensuring these systems are reliable, secure, and user-friendly supporting the company s HR teams and providing support to internal users. In this HR Systems Administrator role, you will also play a central role in the company s transformation and digitisation projects, partnering with DevOps, BI and operational teams to enhance reporting, data integrity, and system integration, bridging the gap between technical system maintenance and the operational needs of the company s HR team, managing and optimising its digital HR Systems. Besides system maintenance and configuration, data integrity and security you will assist with the selection, implementation and optimisation of new HR applications, as well as reporting and analytics, working alongside the BI team to deliver accurate, timely and automated reporting by acting as the first point of contact for HR system queries, troubleshooting, and guiding staff on system functionality, process Improvement, vendor management and compliance with data protection and security standards. Essential skills: • 3 5 years experience in systems administration, IT engineering, or advanced support roles. • Experience with implementing and maintaining HR information systems. (e.g., Sage People, PeopleSoft, Workday, SAP SuccessFactors) • Experience in Learning Management Systems (e.g. Learn Amp or similar enterprise systems). Experience working with major HRIS platforms, LMS, Recruitment, Payroll and Onboarding systems. • Expertise in setting up user roles, permissions, and automated workflows, across several HR platforms. • Direct experience of working with solution providers/vendors to manage relationships and oversee change management processes. • Excellent interpersonal skills are critical to be able to convey ideas and concepts to all levels of colleagues and the ability to integrate into the team dynamic. • Good knowledge of UK GDPR. • A degree (or equivalent experience) in Computer Science, Information Technology, or related field. • Strong documentation discipline and commitment to systems hygiene. • Strong understanding of HR data reporting, workflow automation and integration. • Familiarity with service management tools such as ServiceNow, Jira/Confluence or Azure DevOps within Agile environments. • The confidence to collaborate across teams and communicate technical concepts clearly. Desirable skills: • Previous experience as an HR Systems Administrator in Family services or social care (although this is not essential). • Experience in supporting business decision making processes around software selection and implementation. • Ability to use SQL for querying databases and tools such as Excel to an advanced level. • Experience of integration with systems such as Power BI or Tableau to understand the delivery of statutory and performance reporting. This HR Systems Administrator role is paying a salary up to 55K plus an excellent benefits package. Please get in touch as soon as possible to find out more.

ROLE OVERVIEW: We are currently looking for a Machine Learning Engineer to join a leading research organisation based in London. As Machine Learning Engineer, you will be responsible for advancing data-processing, model-building, and deployment capabilities for a pioneering research organisation. KEY DUTIES AND RESPONSIBILITIES: Your duties as the Machine Learning Engineer will be varied; however, the key duties and responsibilities are as follows: 1. Develop deep-learning pipelines for nuclear magnetic resonance (NMR) data and innovative machine learning approaches to elucidate and quantify interactions between small molecules and intrinsically disordered proteins. 2. Enhance the usability of built models by implementing automated, streamlined, and efficient software solutions in line with best practices, and build model-deployment and job-launching systems for internal and external use. 3. Collaborate closely with other computational and NMR team members, in addition to experimental biophysicists, assisting with experimental data handling and curation, and mentoring the interdisciplinary team in machine-learning and data analysis methods. 4. Stay current with breakthroughs in machine learning, neural networks, NMR, and computational technologies, contributing to the design and execution of cutting-edge machine learning and NMR research projects. ROLE REQUIREMENTS: To be successful in your application to this exciting role as Machine Learning Engineer, we are looking to identify the following on your profile and past history: 1. Relevant degree in a technical field with proven experience in machine learning or model-building. 2. Proven industry experience in applying machine learning and modelling techniques to graph-based data such as molecules and proteins, as well as time series. An ability to demonstrate innovative ways of working (for example work on disordered proteins and consideration of the next frontier in drug discovery) will be highly advantageous. 3. A working knowledge and practical experience with Python, and extensive experience with the scientific and machine-learning stack: Numpy, Torch/Tensorflow/Jax, Scikit-learn, Polars, SQL. Key Words: Machine Learning Engineer / Data Processing / Model Building / NMR / Deep Learning / Computational Biophysics / Drug Discovery / Neural Networks / Scientific Software / Python / Nuclear Magnetic Resonance Hyper Recruitment Solutions Ltd (HRS) is an Equal Opportunities employer. We welcome applications from anyone who meets the role requirements. HRS exclusively supports the Life Science sectors, combining recruitment expertise with scientific knowledge to help you advance your career.

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 Principal 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. For this role we offer the hybrid working approach with 2 days a week onsite in Osterley office. 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"latency," highly reliable " cloud"based "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 data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery." Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multimodal 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." Nice to have U nderstanding 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. Being a Sports Fan - we immerse ourselves in Sport so having a passion for sport an d a desire to push the sports experience to the next level is a real bonus. 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.

Graduate STEM Teaching Assistant Are you a high-achieving STEM graduate looking to apply your subject knowledge in an education setting? Are you a proactive and analytical individual with a passion for supporting learners? Do you want to build a career in a high-impact sector where you can contribute to measurable student progress every day? We have a position available for a Graduate STEM Teaching Assistant to work in a high-performing secondary school in the Sheffield area. The available role is to support teaching and learning across STEM departments, including Science, Mathematics, and Computing. Graduate STEM Teaching Assistant opportunity: Full-time position available on a permanent contract - long-term temporary roles also available Competitive salary Working across KS3 and KS4, with the opportunity to also support KS5 (A-Level/BTEC) Work collaboratively with teachers and senior leaders to track and analyse pupil progress using data-driven approaches Immediate start or September 2026 start available The ideal candidate: A graduate with a 2:1 degree or higher in a STEM discipline (e.g., Mathematics, Physics, Chemistry, Biology, Engineering, Computer Science) Experience working with children or young people - desirable but not essential A positive, solution-focused mindset with the ability to engage learners in STEM through clear communication and subject enthusiasm Strong organisational and problem-solving skills, with an interest in evidence-based teaching and learning strategies Available to work full-time, Monday-Friday during term time Must have the right to work in the UK The Role: The Graduate STEM Teaching Assistant role is an excellent opportunity for individuals looking to gain practical experience within secondary STEM education. Working closely with subject teachers across various subject areas, you will develop insight into curriculum delivery, lesson planning, and assessment for learning (AfL), while supporting students to achieve at GCSE and A-Level. This role includes leading targeted intervention sessions, facilitating small-group problem-solving activities, and providing 1:1 academic support to reinforce core STEM concepts. It is particularly well-suited to graduates considering progression into teacher training (e.g., PGCE, School Direct) or careers within education, research, or STEM outreach. The School: KPI Education are recruiting a Graduate STEM Teaching Assistant on behalf of an excellent and ambitious secondary school in the Sheffield area. Rated Good and Outstanding across all areas in a recent OFSTED report, the school is committed to delivering high-quality STEM education and fostering a culture of academic excellence. The school have recently just invested in a newly refurbished science department with an additional, state-of-the-art practical laboratory. If interested, send your CV and cover letter to James at KPI Education.

Performance Analyst Internship 2026/2027 Contract Type Work Placement Ideal for Undergraduate Students / Placement Year Students / Masters Students / Those looking to gain experience in professional football. Start Date July 2026 End Date May 2027 Hours- Part-time (25-28 Hours Per Week) Salary Unpaid Internship Colchester United has student internships available across the First Team for the 2026/2027 season. This specific role will be to assist the analysis process across the First Team. Those invited to interview will be asked to complete a small task to demonstrate their analysis skills and football understanding. The ideal candidate must: Demonstrate good knowledge and tactical understanding of the game Be proficient using Mac iOS & Windows products (Keynote, PowerPoint, Excel, etc) Be working towards completing an undergraduate/postgraduate degree in sports science or a relevant field OR have experience working as a performance analyst Be adaptable to the workflow of professional football Cope in high demand situations Be able to commit to the entire 2026/2027 season Desirable candidate qualities: Have Knowledge and expertise of industry software, specifically in relation to SBG, HUDL, and Hudl Sportscode. Key Roles and Responsibilities: Work closely with and support the first team staff Provide support to the pre and post-match analysis process Film training sessions with a drone and via IP camera s to manage the upkeep of our recording processes on HUDL Coding at the analyst and coaches request key events, key players, tactical events, clipping for players, etc Assist with delivering analysis sessions group and individual Ensure all tasks and responsibilities are carried out efficiently and responsibly Completing ad-hoc requests Be available to work flexible hours What to Expect From Us: Induction training Experience working within league football Access to CPD events to further improve learning Access to standardised analysis software and platforms Opportunities to grow and develop as analyst under the supervision of experienced staff See operations of a football club and work in a multi-disciplinary environment Support throughout your internship Safeguarding: All staff/volunteers/interns must be aware of all safeguarding and equity and diversity issues, along with all academy and club policies, rules and regulations. We are dedicated to fostering a diverse and dynamic working environment by building a team that represents a variety of backgrounds, perspectives, and skills. We are an equal opportunities employer and welcome applications from all sections of the community. Please email with a CV & Cover Letter and an email titled Performance Analyst Job Application if interested. We will only respond to successful candidates due to time constraints on our end. However, we will provide detailed feedback to every unsuccessful application who progresses past the initial stage in the application process. Thank you for your interest in advance.

Who We Are BCG Expand is a specialist firm providing unique data-driven business intelligence as a trusted advisor to senior executives across the world's leading financial services firms to help them to operate more effectively. Expand's activities are focused on data benchmarking in technology, operations, FinTech and market data, with expertise around strategic cost and human resourcing benchmarking in wholesale finance. Founded in 2001 as an independent research boutique, Expand is a wholly owned subsidiary of the Boston Consulting Group, headquartered in London and with offices in Singapore and New York. At Expand we're proud of our friendly, inclusive and authentic team. It takes diversity of thought, culture, background and perspective to drive a global growing business, understand our clients' needs and maintain our professional, supportive and entrepreneurial working culture that we all enjoy. What You'll Do We're looking for a highly skilled Principal Engineer with a passion for data, cloud technologies, and building robust, scalable solutions - who also brings strategic product thinking and cross-functional leadership . In this role, you'll not only lead the design and implementation of the data infrastructure that powers advanced analytics and data science across our platforms, but also contribute to the strategic direction, roadmap, and execution of data products in collaboration with senior stakeholders. Architect & Build Scalable Data Solutions Collaborate closely with senior product stakeholders to understand data needs and architect end-to-end ingestion pipelines Design and build robust ETL/ELT processes and data architectures using modern tools and techniques Lead database design, data modelling, and integration strategies to support analytics at scale Drive Data Integration & Management Design and implement secure, scalable, and efficient data ingestion frameworks across structured, semi-structured, and unstructured data Partner with product owners and engineers to develop data exchange protocols, ensuring best practices in data governance and security Create and manage hybrid cloud data environments and support data pipelines for big data platforms Product Strategy & Execution Contribute to the strategy and vision for our data products, helping to define and evolve product roadmaps from launch through scale Oversee day-to-day execution of product initiatives across cross-functional teams Lead by example to help foster a high-performing, collaborative, and agile culture Proactively identify and mitigate business, operational, and governance risks Provide clear, data-driven updates on product performance and technical milestones to stakeholders Collaborate Across Disciplines Work together with data scientists to understand analytical needs and curate high-quality data sets Map data fields to business hypotheses, wrangle data, and ensure datasets are model-ready Contribute to a cross-functional engineering culture with a focus on quality, automation, and continuous improvement Ensure Secure & Compliant Practices Apply strong knowledge of information security principles to ensure compliant handling of sensitive client data Build and deploy solutions with security, maintainability, and scalability top of mind What You'll Bring An ideal candidate will have: Proven experience in a hands-on technical role delivering impact through data engineering, software development, or analytics Demonstrated success in launching and scaling technical products or platforms Strong programming skills in at least two of the following: Python, SQL, Java Commercial experience in client-facing projects is a plus, especially within multi-disciplinary teams Deep knowledge of database technologies: Distributed systems (e.g., Spark, Hadoop, EMR) RDBMS (e.g., SQL Server, Oracle, PostgreSQL, MySQL) NoSQL (e.g., MongoDB, Cassandra, DynamoDB, Neo4j) Solid understanding of software engineering best practices - code reviews, testing frameworks, CI/CD, and code maintainability Experience deploying applications into production environments, including packaging, monitoring, and release management Ability to extract insights from complex and disparate data sets and communicate clearly with stakeholders Hands-on experience with cloud platforms such as AWS, Azure, or GCP Familiarity with traditional ETL tools (e.g., Informatica, Talend, Pentaho, DataStage) and data warehousing concepts Strong understanding of data security, compliance , and governance best practices Experience leading or influencing cross-functional teams in a product or platform environment Strong stakeholder management and communication skills Additional info At Expand we're proud of our inclusive, diverse and authentic team. It takes diversity of thought, culture, background and perspective to drive a global growing business, understand our clients' needs and create a welcoming culture for us all to enjoy. Studies have shown that women and people of colour are less likely to apply for jobs unless they meet every single qualification, so if you're excited about this role but your experience doesn't align perfectly with every qualification in the job description, we encourage you to apply anyway. If you're a quick learner, conscientious and friendly, you might be just the person we're looking for. Boston Consulting Group is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, age, religion, sex, sexual orientation, gender identity / expression, national origin, disability, protected veteran status, or any other characteristic protected under national, provincial, or local law, where applicable, and those with criminal histories will be considered in a manner consistent with applicable state and local laws. BCG is an E - Verify Employer. Click here for more information on E-Verify.

Job Title: Senior Radiation Physicist Location: Barrow-in-Furness - Hybrid 3 days minimum onsite. We offer a range of hybrid and flexible working arrangements - please speak to your recruiter about the options for this particular role Salary: Competitive Who we are: Join BAE Systems and you'll be part of something bigger. As a valued member of our global colleague network, you'll bring your unique skills and perspectives to help pioneer progress and protect what matters most. You'll be trusted to play your part in delivering the advanced, technology-led defence, aerospace and security solutions of tomorrow, shaping a safer future, for all of us. From the depths of the ocean, to the far reaches of space, there's no limit to where a career at BAE Systems could take you. What you'll be doing: You will conduct radiological safety assessments and evaluate radiation damage risks to onboard electronics. Your role involves developing radiation detection systems and managing the systems engineering design of secondary shielding. Utilising point kernel and Monte Carlo calculations, you will support radiation transport modelling and provide technical guidance on design changes or defects to maintain safety standards. Additionally, you will develop ALARP justifications to support engineering decisions , ensuring all radiological risks are minimised to compliant and acceptable levels. Core duties: You'll hold a degree in Mathematics, Physics, Chemistry, Engineering, Nuclear Science, or a related field You'll possess demonstrable knowledge/experience of radiation physics, nuclear engineering, nuclear safety or similar You'll have knowledge/experience of Radiological safety assessments, ALARP justifications or similar You'll utilise your knowledge/experience of radiation transport methods (ATTILLA/MCBEND/MCNP etc .) The Radiation Physics & Shielding team: Our team designs and validates radiation shielding for the UK's nuclear submarine fleet across three major programmes. We handle shield design, build assessments, metrology, and safety studies, while developing novel detectors and electronics capability. We offer relocation support packages across all Submarines roles, subject to meeting eligibility criteria. Why BAE Systems? Here you'll build a career with purpose and limitless possibilities. With lifelong learning and meaningful work, this is a place where you can grow your career with confidence and be empowered to be your best. You'll be recognised for your contribution and enjoy rewards tailored to what's most important to you and your family, support for your financial and personal wellbeing, as well as a balanced lifestyle. In an environment embracing sustainable ways of working and with a strong sense of shared purpose, our supportive culture is a place you can feel you belong and proud of the difference you make. A place where everyone can thrive: We're committed to building an inclusive workplace where everyone feels valued and supported. We know that a diversity of backgrounds, perspectives and experiences strengthens our teams and is vital to the work we do. Please be aware that many roles at BAE Systems are subject to both security and export control restrictions. These restrictions mean that factors such as your nationality, any nationalities you may have previously held, and your place of birth can restrict the roles you are eligible to perform within the organisation. All applicants must as a minimum achieve Baseline Personnel Security Standard. Many roles also require higher levels of National Security Vetting where applicants must typically have 5 to 10 years of continuous residency in the UK depending on the vetting level required for the role , to allow for meaningful security vetting checks. Closing Date: 28th May 2026 We reserve the right to close this vacancy early if we receive sufficient applications for the role . Therefore, if you are interested, please submit your application as early as possible.

Senior Applications Engineer / Hybrid, Lancaster / Full Time / £60,000 to £70,000 Quantum Base is a pioneering deep-tech spin-out from Lancaster University, and we have invented Q-ID a world-leading, anti-counterfeit technology solution for brand protection and security printing. Q-IDs cannot be counterfeited or photocopied, can be applied to virtually any physical product, and can be instantly authenticated using any standard smartphone. With 11 years of deep R&D backing us, our mission is to create a new global standard in security. Our largest client is a prestigious security printer utilizing Q-IDs for a major government tax stamp programme. The Senior Applications Engineer Role: As our first external hire into the Customer Implementation Function , this is a unique opportunity to take true ownership and shape how we scale. We are seeking a senior, hands-on engineer to accelerate the rollout of our technology in real-world customer environments guiding clients from initial technical conversations, through live trials, and into paying production. Our technology sits at the fascinating intersection of mobile, cloud, manufacturing, machine vision, and materials science. You will be highly comfortable working at the boundary of the physical and digital worlds, confident in solving unprecedented problems, and keen to leverage automation and AI to build scalable, repeatable playbooks. Key Responsibilities of the Senior Applications Engineer: Partner with the commercial team as the senior technical voice, setting realistic expectations regarding risks, dependencies, and timelines. Lead customer trials from inception to completion, integrating our technology seamlessly into client systems and operational workflows. Spend time on-site during live production tests, rapidly diagnosing and resolving issues across hardware, software, and manufacturing points. Build repeatable tools, processes, and playbooks to allow multiple, parallel customer implementations to run concurrently. Train customer teams to ensure they are production-ready, and feed field-tested insights back into our internal Platform and Materials teams. Skills and Experience: Experience in applications, field, or implementation engineering, with sharp troubleshooting instincts during live trials, commissioning, or production ramp-ups. Strong experience implementing solutions that combine physical hardware with software workflows (e.g., mobile SDKs, cloud APIs). Prior experience in a startup or scale-up environment, demonstrating practical judgment amidst ambiguity and a track record of optimizing delivery processes. Exceptional communication skills, confident engaging with engineering, operations, and IT stakeholders. Comfort utilizing AI tools for speed and process execution is highly valued. Ability to work from our Lancaster office 3 4 days a week (during active programmes) and a willingness to travel regularly to UK and international customer sites. Experience with machine vision systems, production/print lines, or Quality Control (QC) systems. Experience within the security printing, anti-counterfeit, or brand protection industries. What s on Offer? £60k - £70k base salary + annual performance bonus + participation in the company share scheme. 30 days annual leave plus bank holidays. Hybrid working model and flexible working hours. A comprehensive relocation package is available if you are looking to move closer to Lancaster. Pension scheme, Cycle to Work scheme, and a continually evolving benefits package. How to Apply If you are a senior engineer who thrives on being close to the real problem, loves working directly with customers, and enjoys making complex systems work in live production, we want to hear from you. Apply today to shape the future of global brand security.

Who We Are BCG Expand is a specialist firm providing unique data-driven business intelligence as a trusted advisor to senior executives across the world's leading financial services firms to help them to operate more effectively. Expand's activities are focused on data benchmarking in technology, operations, FinTech and market data, with expertise around strategic cost and human resourcing benchmarking in wholesale finance. Founded in 2001 as an independent research boutique, Expand is a wholly owned subsidiary of the Boston Consulting Group, headquartered in London and with offices in Singapore and New York. At Expand we're proud of our friendly, inclusive and authentic team. It takes diversity of thought, culture, background and perspective to drive a global growing business, understand our clients' needs and maintain our professional, supportive and entrepreneurial working culture that we all enjoy. What You'll Do We're looking for a highly skilled Principal Engineer with a passion for data, cloud technologies, and building robust, scalable solutions - who also brings strategic product thinking and cross-functional leadership . In this role, you'll not only lead the design and implementation of the data infrastructure that powers advanced analytics and data science across our platforms, but also contribute to the strategic direction, roadmap, and execution of data products in collaboration with senior stakeholders. Architect & Build Scalable Data Solutions Collaborate closely with senior product stakeholders to understand data needs and architect end-to-end ingestion pipelines Design and build robust ETL/ELT processes and data architectures using modern tools and techniques Lead database design, data modelling, and integration strategies to support analytics at scale Drive Data Integration & Management Design and implement secure, scalable, and efficient data ingestion frameworks across structured, semi-structured, and unstructured data Partner with product owners and engineers to develop data exchange protocols, ensuring best practices in data governance and security Create and manage hybrid cloud data environments and support data pipelines for big data platforms Product Strategy & Execution Contribute to the strategy and vision for our data products, helping to define and evolve product roadmaps from launch through scale Oversee day-to-day execution of product initiatives across cross-functional teams Lead by example to help foster a high-performing, collaborative, and agile culture Proactively identify and mitigate business, operational, and governance risks Provide clear, data-driven updates on product performance and technical milestones to stakeholders Collaborate Across Disciplines Work together with data scientists to understand analytical needs and curate high-quality data sets Map data fields to business hypotheses, wrangle data, and ensure datasets are model-ready Contribute to a cross-functional engineering culture with a focus on quality, automation, and continuous improvement Ensure Secure & Compliant Practices Apply strong knowledge of information security principles to ensure compliant handling of sensitive client data Build and deploy solutions with security, maintainability, and scalability top of mind What You'll Bring An ideal candidate will have: Proven experience in a hands-on technical role delivering impact through data engineering, software development, or analytics Demonstrated success in launching and scaling technical products or platforms Strong programming skills in at least two of the following: Python, SQL, Java Commercial experience in client-facing projects is a plus, especially within multi-disciplinary teams Deep knowledge of database technologies: Distributed systems (e.g., Spark, Hadoop, EMR) RDBMS (e.g., SQL Server, Oracle, PostgreSQL, MySQL) NoSQL (e.g., MongoDB, Cassandra, DynamoDB, Neo4j) Solid understanding of software engineering best practices - code reviews, testing frameworks, CI/CD, and code maintainability Experience deploying applications into production environments, including packaging, monitoring, and release management Ability to extract insights from complex and disparate data sets and communicate clearly with stakeholders Hands-on experience with cloud platforms such as AWS, Azure, or GCP Familiarity with traditional ETL tools (e.g., Informatica, Talend, Pentaho, DataStage) and data warehousing concepts Strong understanding of data security, compliance , and governance best practices Experience leading or influencing cross-functional teams in a product or platform environment Strong stakeholder management and communication skills Additional info At Expand we're proud of our inclusive, diverse and authentic team. It takes diversity of thought, culture, background and perspective to drive a global growing business, understand our clients' needs and create a welcoming culture for us all to enjoy. Studies have shown that women and people of colour are less likely to apply for jobs unless they meet every single qualification, so if you're excited about this role but your experience doesn't align perfectly with every qualification in the job description, we encourage you to apply anyway. If you're a quick learner, conscientious and friendly, you might be just the person we're looking for. Boston Consulting Group is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, age, religion, sex, sexual orientation, gender identity / expression, national origin, disability, protected veteran status, or any other characteristic protected under national, provincial, or local law, where applicable, and those with criminal histories will be considered in a manner consistent with applicable state and local laws. BCG is an E - Verify Employer. Click here for more information on E-Verify.

Who We Are Boston Consulting Group partners with leaders in business and society to tackle their most important challenges and capture their greatest opportunities. BCG was the pioneer in business strategy when it was founded in 1963. Today, we help clients with total transformation-inspiring complex change, enabling organizations to grow, building competitive advantage, and driving bottom-line impact. To succeed, organizations must blend digital and human capabilities. Our diverse, global teams bring deep industry and functional expertise and a range of perspectives to spark change. BCG delivers solutions through leading-edge management consulting along with technology and design, corporate and digital ventures-and business purpose. We work in a uniquely collaborative model across the firm and throughout all levels of the client organization, generating results that allow our clients to thrive. We Are BCG X We're a diverse team of more than 3,000 tech experts united by a drive to make a difference. Working across industries and disciplines, we combine our experience and expertise to tackle the biggest challenges faced by society today. We go beyond what was once thought possible, creating new and innovative solutions to the world's most complex problems. Leveraging BCG's global network and partnerships with leading organizations, BCG X provides a stable ecosystem for talent to build game-changing businesses, products, and services from the ground up, all while growing their career. Together, we strive to create solutions that will positively impact the lives of millions. We Are BCG X We're a diverse team of more than 3,000 tech experts united by a drive to make a difference. Working across industries and disciplines, we combine our experience and expertise to tackle the biggest challenges faced by society today. We go beyond what was once thought possible, creating new and innovative solutions to the world's most complex problems. Leveraging BCG's global network and partnerships with leading organizations, BCG X provides a stable ecosystem for talent to build game-changing businesses, products, and services from the ground up, all while growing their career. Together, we strive to create solutions that will positively impact the lives of millions. What You'll Do Are you passionate about developing socially and ethically responsible AI systems? Are you excited by the prospect of supporting projects that apply cutting-edge AI and GenAI models to solve real-world problems? Imagine working with BCG 's Responsible AI team, where you will develop and apply innovative tools for testing and evaluating new GenAI products. Your daily work would involve designing and implementing testing and evaluation frameworks to help improve product quality and ensure AI systems are safe, secure, and equitable . Join a team dedicated to exploring creative solutions and pioneering advancements in Responsible AI. Your work will influence the development of GenAI applications, focusing on transparency, accountability, and trustworthiness. On the team, you'll collaborate with brilliant minds and make a tangible impact on shaping the future of AI, ensuring it meets the highest standards for responsibility and effectiveness. You will have the opportunity to support a wide variety of projects, spanning use cases, technologies, industries, and clients. Embrace the challenge of working at the intersection of cutting-edge technology, ethical innovation, and real-world applications. The Responsible AI Applied Scientist plays a critical role supporting BCG 's testing and evaluation efforts, working in conjunction with our AI and GenAI product teams to ensure alignment with our Responsible AI policy, principles, and standards, and to support the design, continuous improvement, and execution of the overall Responsible AI program at BCG. The Responsible AI Applied Sci entist will work with a diverse set of stakeholders to: Ensure responsible development of GenAI and AI products by providing Responsible AI expert support to GenAI and AI product teams, including conducting independent assessment of product -level risks and owning product evaluations Engage indep endently and directly with BCG product teams to sup port Responsible AI-related nee ds across the entire software development lifecycle of GenAI or AI product s Work with and support technical teams executing risk assessment and testing and evaluation o f GenAI and AI products Train and mentor technical teams on testing and evaluation approaches for GenAI products Remain up - to - date on emerging frameworks, standards, and technical approaches, and related issues , by participating in workshops, reading professional publications, maintaining personal networks, and participating in professional organizations What You'll Bring 3-5+ years of experience in Responsible AI, including directly engaging with AI product teams 3+ years of industry experience in building or evaluating Generative AI models Experience in program/project management and team leadership Strong programming skills in Python and deep learning frameworks ( PyTorch , TensorFlow) Demonstrable knowledge of Responsible AI issues, trends, frameworks, and best practices Working knowledge of emerging AI regulatory and legal frameworks across the globe Excellent written and verbal communication skills across technical and non-technical audiences Ability to explain sophisticated data science concepts to non-technical audiences and translate analytical results into business implications Ability to think critically about ethical, social, and business risks posed by GenAI and AI systems Passion for building things and comfort working with modern data science development tools Experience designing and analyzing experiments using advanced statistical methods Experience and enthusiasm for working with Ge n AI technologies Technical Skills Must - have experience: Advanced degree (MS or PhD) in Computer Science, Software Engineering, or equivalent research/work experience Strong research background in empirical evaluation, experimental design, or benchmarking Deep familiarity with software engineering workflows and developer tools Experience working with or evaluating AI/ML models, preferably LLMs Strong analytical and communication skills, including the ability to write clear testing result reports Nice - to - have experience: Experience with quantitative social science research Familiarity with software engineering practices (e.g., unit testing, CI/CD ) Exposure to cloud platforms (AWS, Azure, GCP) or SQL databases Knowledge of AI risk management frameworks (e.g., NIST AI RMF) Experience with d eveloper tools , including IDEs (e.g., VSCode , Pycharm ) and environment management (e.g., P yenv , C onda , P oetry , D ocker) Demonstrable contribution to open-source evaluations of GenAI Who You'll Work With You'll work in a fast-paced, intellectually challenging, product-oriented environment where we advance our thinking about and operationalization of Responsible AI. You'll engage with a diverse set of stakeholders, including senior executives, A I and G enAI product teams , legal, compliance, and security teams, BCG's Chief AI Ethics Officer, the Director of the Responsible AI team, and other members of the Responsible AI team. Boston Consulting Group is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, age, religion, sex, sexual orientation, gender identity / expression, national origin, disability, protected veteran status, or any other characteristic protected under national, provincial, or local law, where applicable, and those with criminal histories will be considered in a manner consistent with applicable state and local laws. BCG is an E - Verify Employer. Click here for more information on E-Verify.

Location: Lincolnshire Commutable from: Lincoln, Doncaster, Scunthorpe, Gainsborough, Grimsby Sector: Food, nutraceutical, pharma or regulated manufacturing This is a high-profile, client-facing Customer Technical Manager role with a fast-growing, award-winning manufacturing business supplying major UK retailers click apply for full job details

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 Principal 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. For this role we offer the hybrid working approach with 2 days a week onsite in Osterley office. 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"latency," highly reliable " cloud"based "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 data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery." Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multimodal 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." Nice to have U nderstanding 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. Being a Sports Fan - we immerse ourselves in Sport so having a passion for sport an d a desire to push the sports experience to the next level is a real bonus. 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.

SRT Marine Systems plc (SRT) is a market leader in the domain of international marine surveillance technology and systems. We are a respected, established, and an ambitious multi-national company headquartered in the UK with a global customer base. The company has a worldwide impact in the marine sector by leading the next generation of maritime domain awareness technologies "MDA", products, and systems that significantly enhance security, safety, environmental protection, and sustainability. Our customers are global and range from the largest national coast guards to individual vessel owners. SRT is an exciting company where high-quality results are rewarded. We are ambitious and constantly seek to innovate in order to deliver better products and services to our customers. We strive to make SRT a rewarding and challenging place to work, where talented, hard-working individuals have the opportunity to make a real impact across the marine industry. We are seeking a Sensor Software Engineer to design, develop, and integrate sensor capabilities within a Marine Domain Awareness (MDA) platform. The role focuses on ingesting, controlling, and processing data from coastal surveillance cameras, radio direction finders (RDF), radar, AIS, and other maritime sensors, and exposing this data in a consistent, operationally robust format. The role of Sensor Software Engineer is a hands-on engineering role requiring strong C#/.NET development skills, experience working with real-world sensor systems, and the ability to partner effectively with AI/ML components to deliver intelligent detection, classification, and tracking capabilities. About the role of Sensor Software Engineer - (not exhaustive): You'll work on the "sensors at the fringe" fixed and mobile surveillance equipment such as radars, cameras, RDF, AIS, and other specialist maritime sensors. Your mission as a Sensor Software Engineer will be to integrate, calibrate, and optimise these systems in non-production environments, building the software that makes their outputs usable for downstream systems and training our Delivery Team for field deployment. The role of Sensor Software Engineer spans multi-domain sensor fusion, AI-assisted analysis, anomaly detection, augmented reality, autonomous sentry operation, and evidence collection. You'll work closely with colleagues across software, hardware, data science, and infrastructure to bring innovative, high-performance edge solutions to life. Sensor Integration & Control Develop integrations with maritime sensors including: Coastal surveillance cameras (e.g. PTZ, thermal, EO/IR) Radio Direction Finders (RDF) Radar and AIS data sources Implement control interfaces (e.g. PTZ, presets, tracking handoff) Work with proprietary and undocumented APIs where required Backend Development (.NET) Build robust services using C# and .NET Develop APIs and services for downstream consumers Optimise for performance, reliability, and low-latency processing Work within distributed, containerised environments System Integration Work across a distributed system (e.g. message brokers, microservices) Integrate with existing platform components and abstraction layers Support deployments in on-prem / air-gapped environments Required Skills & Experience Core Engineering Strong experience in C# and .NET (Core / .NET 6+) Solid understanding of distributed systems and event-driven architectures Sensor / Domain Experience Experience integrating or working with any of: Surveillance cameras (PTZ, ONVIF, RTSP, video streams) Radio systems or RDF Radar, AIS, or similar telemetry sources Comfortable working with hardware interfaces and imperfect APIs Systems & Infrastructure Experience with: Messaging systems (e.g. RabbitMQ or similar) Containerisation (Docker) Linux-based deployments Understanding of performance, scaling, and resilience challenges Desirable Experience Experience in maritime, defence, or surveillance domains Familiarity with video processing pipelines Experience working in air-gapped or high-security environments SRT Marine Systems plc is an equal opportunity employer. We are committed to creating an inclusive environment for all employees and welcome applications from all backgrounds.

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 Principal 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. For this role we offer the hybrid working approach with 2 days a week onsite in Osterley office. 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"latency," highly reliable " cloud"based "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 data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery." Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multimodal 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." Nice to have U nderstanding 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. Being a Sports Fan - we immerse ourselves in Sport so having a passion for sport an d a desire to push the sports experience to the next level is a real bonus. 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.